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ORCIDBigData Conference 2022: Osaka, Japan
- Shusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan:
IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022. IEEE 2022, ISBN 978-1-6654-8045-1 - Daniel Cheriyan, Jurng-Jae Lee, Jae-Ho Choi:
Construction Worker Health and Safety Monitoring System Using Brainwave and Pollution Data. 1 - Jin-Young Choi, Eun-Ju Ha, Jae-Ho Choi:
Data Mining Approach to determine injured Area of the Construction Worker using Accident Loss Cost. 1 - Hyung-Jin Kim, Kwang-Sik Kim, Min-Seok Kim, Jang-Hyun Lee:
Development of Fault Detection Algorithm using LP Pump Failure Data. 1 - Eun-Ju Ha, Jin Young Choi, Jae-Ho Choi:
Data Mining Approach for Predicting the Fall Accident Cost in Construction Projects. 1 - Jongseok Jeon, SeungHo Kim, Joohee Oh:
How Do You Watch Music Video: "Watching or Listening?". 1 - Pedro Augusto Da S. E. S. Miranda, Plinio P. Morita:
A Proposed Personal Data Sovereignty Inter-Organizational Governance Framework for Public Health Research. 1 - Lamine Diop, Cheikh Talibouya Diop, Arnaud Giacometti, Arnaud Soulet:
Trie-based Output Space Itemset Sampling. 6-15 - Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, Sihong Xie:
Efficient Multiple Objective Optimization for Fair Misinformation Detection. 16-25 - Ghazal Fazelnia, John W. Paisley:
Probabilistic Orthogonal Matching Pursuit. 26-35 - Weimao Ke:
Alternatives to Classic BM25-IDF based on a New Information Theoretical Framework. 36-44 - Masatoshi Kobayashi, Kohei Miyaguchi, Shin Matsushima:
Detection of Unobserved Common Cause in Discrete Data Based on the MDL Principle. 45-54 - John W. Paisley, Sebastian Rowland, Jeremiah Zhe Liu, Brent A. Coull, Marianthi-Anna Kioumourtzoglou:
Bayesian Nonparametric Model Averaging Using Scalable Gaussian Process Representations. 55-64 - Rohit P. Singh, Philip A. Wilsey:
Persistence Homology of Proximity Hyper-Graphs for Higher Dimensional Big Data. 65-74 - Gabriel Stella, Dmitri Loguinov:
On High-Latency Bowtie Data Streaming. 75-84 - Ye Xue, Diego Klabjan, Yuan Luo:
Aggregation Delayed Federated Learning. 85-94 - Md. Shafiul Alam, Ying Xie:
Appley: Approximate Shapley Value for Model Explainability in Linear Time. 95-100 - Prakash Chourasia, Sarwan Ali, Murray Patterson
:
Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences. 101-106 - Leonidas Fegaras, Tanvir Ahmed Khan, Md Hasanuzzaman Noor, Tanzima Sultana:
Scalable Tensors for Big Data Analytics. 107-114 - Lianke Qin, Aravind Reddy, Zhao Song, Zhaozhuo Xu, Danyang Zhuo:
Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations. 115-120 - Sreepada Tarun, Rage Uday Kiran, Yutaka Watanobe, Kazuo Goda:
A Novel GPU-Accelerated Algorithm to Discover Periodic-Frequent Patterns in Temporal Databases. 121-126 - Monika Shah, Somdeb Sarkhel, Deepak Venugopal:
Evaluating Captioning Models using Markov Logic Networks. 127-134 - Weili Shi, Sheng Li:
Improving Robustness of Vision Transformers via Data-Augmented Virtual Adversarial Training. 135-140 - Marziyeh Nourian, Tri Nguyen, Andrew A. Chien, Michela Becchi:
Data Transformation Acceleration using Deterministic Finite-State Transducers. 141-150 - Carlos Ordonez:
Scalable Parallel Machine Learning Computing a Summarization Matrix with SQL Queries. 151-160 - Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao:
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. 161-169 - Pengfei Zhang, Ziqiang Feng, Eric Lo, Hailin Qin:
ByteStore: Hybrid Layouts for Main-Memory Column Stores. 170-179 - K. R. Jayaram, Vinod Muthusamy, Gegi Thomas, Ashish Verma, Mark Purcell:
Adaptive Aggregation For Federated Learning. 180-185 - Sungjae Lee, Yoonseo Hur, Subin Park, Kyungyong Lee:
PROFET: PROFiling-based CNN Training Latency ProphET for GPU Cloud Instances. 186-193 - Pranava Mummoju, Anna Wolff, Martin Perdacher, Claudia Plant, Christian Böhm:
Enhancing k-Means Algorithm with Tensor Processing Unit. 194-200 - Antonio Iyda Paganelli, Pedro Elkind Velmovitsky, Adriano Branco, Markus Endler, Plinio Pelegrini Morita, Paulo Alencar, Donald D. Cowan:
A novel self-adaptive method for improving patient monitoring with composite early-warning scores. 201-208 - Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao:
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. 209-216 - Hamid Shahrivari, Odysseas Papapetrou, George Fletcher:
Workload Prediction for Adaptive Approximate Query Processing. 217-222 - Zhenzhao Wang, Santosh Marella, Mak Inada, Pablo Rodriguez Defino, Abhishek Jagannath, Lohit Vijayarenu:
Latency vs Cost : Data Ingestion options at Twitter Scale. 223-227 - Damien T. Wojtowicz, Shaoyi Yin, Jorge Martínez Gil, Franck Morvan, Abdelkader Hameurlain:
Multi-Cloud Query Optimisation with Accurate and Efficient Quoting. 228-233 - Ziren Xiao, Aaron Harwood, Maria A. Rodriguez:
Optimal Rate Control for Latency-constrained High Throughput Big Data Applications. 234-241 - Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Shapelet-based Temporal Association Rule Mining for Multivariate Time Series Classification. 242-251 - Yicheng Tu, Mehrad Eslami, Zichen Xu, Hadi Charkhgard:
Multi-Query Optimization Revisited: A Full-Query Algebraic Method. 252-261 - Kevin Fang, Vaikkunth Mugunthan, Vayd Ramkumar, Lalana Kagal:
Overcoming Challenges of Synthetic Data Generation. 262-270 - Neni Alya Firdausanti, Tirana Noor Fatyanosa, Mahendra Data, Israel Mendonça, Masayoshi Aritsugi:
Two-Stage Sampling: A Framework for Imbalanced Classification With Overlapped Classes. 271-280 - Daniel Glake, Mareike Schmidt, Felix Kiehn, Fabian Panse, Ulfia Lenfers, Thomas Clemen, Norbert Ritter:
Operator Placement for Spatio-temporal Tasks. 281-290 - Abdullah al-Raihan Nayeem, Huikyo Lee, Dongyun Han, Mohammed Elshambakey, William J. Tolone, Todd Dobbs, Daniel J. Crichton, Isaac Cho:
DCPViz: A Visual Analytics Approach for Downscaled Climate Projections. 291-300 - Thu Nguyen, Ngoc Vu, Binh Ly:
An approach to constructing a graph data repository for course recommendation based on IT career goals in the context of big data. 301-308 - Jason Orender, Mohammad Zubair, Jiangwen Sun:
LASSO Logic Engine: harnessing the logic parsing capabilities of the LASSO algorithm for longitudinal feature learning. 309-318 - Owen Randall, Paul Lu:
Predicting Deduplication Performance: An Analytical Model and Empirical Evaluation. 319-328 - Yian Wang, Jian Kang, Yinglong Xia, Jiebo Luo, Hanghang Tong:
iFiG: Individually Fair Multi-view Graph Clustering. 329-338 - Weikai Xu, Lihui Liu, Hanghang Tong:
ABM: Attention-based Message Passing Network for Knowledge Graph Completion. 339-348 - Xiaohu Zhao, Kebin Jia, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie, Xiaowei Jia:
VIMTS: Variational-based Imputation for Multi-modal Time Series. 349-358 - Chrysovalantis Anastasiou, Seon Ho Kim, Cyrus Shahabi:
Generation of Synthetic Urban Vehicle Trajectories. 359-366 - Tao Cai, Yueming Ma, Dejiao Niu, Pengfei Gao, Tianle Lei, Jianfei Dai:
A New IoT Storage System Based on Raw NVM. 367-372 - Damianos Chatziantoniou, Verena Kantere, Nikos Antoniou, Angeliki Gantzia:
Data Virtual Machines: Simplifying Data Sharing, Exploration & Querying in Big Data Environments. 373-380 - Yasuhiro Fujiwara, Masahiro Nakano, Atsutoshi Kumagai, Yasutoshi Ida, Akisato Kimura, Naonori Ueda:
Fast Binary Network Hashing via Graph Clustering. 381-388 - Ahmed A. Harby, Farhana H. Zulkernine:
From Data Warehouse to Lakehouse: A Comparative Review. 389-395 - Hyein Hong, Sangbong Yoo, Yejin Jin, Chanyoung Yoon, Soobin Yim, Seokhwan Choi, Yun Jang:
Visual Analytics System of Comprehensive Data Quality Improvement for Machine Learning using Data- and Process-driven Strategies. 396-401 - Alexandros Karakasidis, Georgia Koloniari:
Efficient Privacy Preserving Record Linkage at Scale using Apache Spark. 402-407 - Chihiro Maru, Boris Brandherm, Ichiro Kobayashi:
Verification of Sparsity in the Attention Mechanism of Transformer for Anomaly Detection in Multivariate Time Series. 408-414 - Kento Miura, Ryohei Kobayashi, Toshiyuki Amagasa, Hiroyuki Kitagawa, Norihisa Fujita, Taisuke Boku:
An FPGA-based Accelerator for Regular Path Queries over Edge-labeled Graphs. 415-422 - Prashanth Thinakaran, Kanak Mahadik, Jashwant Raj Gunasekaran, Mahmut Taylan Kandemir, Chita R. Das:
SandPiper: A Cost-Efficient Adaptive Framework for Online Recommender Systems. 423-430 - Mimi Wang, Xudong He, Peihai Zhao:
A Novel Estimate Fitness Method by Measuring A large number of Sub-event Logs Conformance. 431-436 - Caleb Carlson, Menuka Warushavithana, Saptashwa Mitra, Kassidy Barram, Sudipto Ghosh, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara:
Resource Efficient Profiling of Spatial Variability in Performance of Regression Models. 437-444 - Daichi Amagata:
Scalable and Accurate Density-Peaks Clustering on Fully Dynamic Data. 445-454 - Md. Rabiul Awal, Minh Dang Nguyen, Roy Ka-Wei Lee, Kenny Tsu Wei Choo:
MUSCAT: Multilingual Rumor Detection in Social Media Conversations. 455-464 - Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
Learning Diversity Attributes in Multi-Session Recommendations. 465-474 - Yijin Cai, Yilei Wang, Weijin Wang, Wenting Chen:
RI-GCN: Review-aware Interactive Graph Convolutional Network for Review-based Item Recommendation. 475-484 - Mingfei Cai, Yanbo Pang, Yoshihide Sekimoto:
Spatial Attention Based Grid Representation Learning For Predicting Origin-Destination Flow. 485-494 - Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang:
Proximal Cost-sensitive Sparse Group Online Learning. 495-504 - Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong:
Self-supervised Hypergraph Representation Learning. 505-514 - Hassan Eldeeb, Shota Amashukeli, Radwa El Shawi:
BigFeat: Scalable and Interpretable Automated Feature Engineering Framework. 515-524 - Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu:
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. 525-534 - Moghis Fereidouni, Adib Mosharrof, Umar Farooq, A. B. Siddique:
Proactive Prioritization of App Issues via Contrastive Learning. 535-544 - Mahdi Hajiabadi, Venkatesh Srinivasan, Alex Thomo:
Dynamic Graph Summarization: Optimal and Scalable. 545-554 - Koby Hayashi, Sinan G. Aksoy, Haesun Park:
Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs. 555-564 - Seoyoung Hong, Minju Jo, Seungji Kook, Jaeeun Jung, Hyowon Wi, Noseong Park, Sung-Bae Cho:
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering. 565-574 - Haoji Hu, Haowen Lin, Yao-Yi Chiang:
Clustering Human Mobility with Multiple Spaces. 575-584 - Tunazzina Islam, Dan Goldwasser:
Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision. 585-595 - Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu:
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks. 596-605 - Shima Khoshraftar, Aijun An, Nastaran Babanejad:
Temporal Graph Representation Learning via Maximal Cliques. 606-615 - Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan:
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. 616-625 - Xiaohan Li, Yuqing Liu, Zheng Liu, Philip S. Yu:
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation. 626-635 - Shen Wang, Zhengzhang Chen, Jingchao Ni, Haifeng Chen, Philip S. Yu:
Towards Robust Graph Neural Networks via Adversarial Contrastive Learning. 636-645 - Zheng Wang, Mingrui Liu, Cheng Long, Qianru Zhang, Jiangneng Li, Chunyan Miao:
On Inferring User Socioeconomic Status with Mobility Records. 646-655 - Hui Xue, Bo Sun, Weixuan Mao, Jianjun Lin, Yijing Zhang, Xiaoyu Liu, Xiaodu Yang, Ziqian Chen:
Spatial Density-based User Identity Linkage across Social Networks. 656-664 - Shen Wang, Liangwei Yang, Jibing Gong, Shaojie Zheng, Shuying Du, Zhiwei Liu, Philip S. Yu:
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System. 665-674 - Chunyun Zhang, Xi Zhang, Quan Wang, Jiayi Liang, Ge Zhang, Sanchuan Guo, Wenyu Zang, Yongdong Zhang:
Abusive Language Detection with Graph based Multi-task Learning. 675-684 - Angeela Acharya, Siddhartha Sikdar, Sanmay Das, Huzefa Rangwala:
GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data Sources. 685-692 - Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu:
HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets. 693-700 - Farah Alshanik, Amy W. Apon, Yuheng Du, Alexander Herzog, Ilya Safro:
Proactive Query Expansion for Streaming Data Using External Sources. 701-708 - Henrique S. Assumpção, Fabrício Souza, Leandro Lacerda Campos, Vinícius T. de Castro Pires, Paulo M. Laurentys de Almeida, Fabricio Murai:
DELATOR: Money Laundering Detection via Multi-Task Learning on Large Transaction Graphs. 709-714 - Dianbin Bao, Kisung You, Lizhen Lin:
Network Distance based on Laplacian Flows on Graphs. 715-720 - Rui Fan, Tingting He, Yufan Wang, Jie Hong, Xinhui Tu:
Emotion-Cause Relationship Between Clauses Prediction: a Novel Method Based on BERT for Emotion-Cause Pair Extraction. 721-726 - Xiaochuan Gou, Peng Han, Xiangliang Zhang:
QuoGNN: Quotient Graph Neural Network for Urban Flow Forecasting. 727-733 - Michael N. Gubanov, Anna Pyayt, Sophie Pavia:
Visualizing and Querying Large-scale Structured Datasets by Learning Multi-layered 3D Meta-Profiles. 734-739 - Luis Felipe Gutiérrez, Akbar Siami Namin:
Generating Interpretable Features for Context-Aware Document Clustering: A Cybersecurity Case Study. 740-747 - Isaiah J. King, H. Howie Huang:
Graggle: A Graph-based Approach to Document Clustering. 748-755 - Trung-Hoang Le, Hady W. Lauw:
Question-Attentive Review-Level Recommendation Explanation. 756-761 - Zhi Li, Daichi Amagata, Yihong Zhang, Takahiro Hara, Shuichiro Haruta, Kei Yonekawa, Mori Kurokawa:
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations. 762-769 - Xuan Li, Li Zhang:
Neighborhood Preserving Embedding via Capsules for Collaborative Filtering. 770-775 - Kunihiro Miyazaki, Takayuki Uchiba, Haewoon Kwak, Jisun An:
Characterizing Spontaneous Ideation Contest on Social Media: Case Study on the Name Change of Facebook to Meta. 776-783 - Abdullah al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee, Dongyun Han, Yuzhou Chen, Zhiwei Zhen, Yulia R. Gel, Isaac Cho:
Learning on Health Fairness and Environmental Justice via Interactive Visualization. 784-791 - Pierce Smith, Sangmi Lee Pallickara, Shrideep Pallickara:
Griddle: Effective Query Support over Voluminous Gridded Spatial Datasets. 792-799 - Jiarui Sun, Mengting Gu, Chin-Chia Michael Yeh, Yujie Fan, Girish Chowdhary, Wei Zhang:
Dynamic Graph Node Classification via Time Augmentation. 800-805 - Man Wu, Xingquan Zhu:
Temporal Adaptive Aggregation Network for Dynamic Graph Learning. 806-811 - Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
Clustering-based Unsupervised Generative Relation Extraction. 812-817 - Geng Zhao, Yi Huang, Chi Hsu Tsai:
FedGSL: Federated Graph Structure Learning for Local Subgraph Augmentation. 818-824 - Gary Ang, Ee-Peng Lim:
Learning Dynamic Multimodal Implicit and Explicit Networks for Multiple Financial Tasks. 825-834 - Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, Hao Yang:
bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine. 835-843 - Jagat Sesh Challa, Dhruv Rawat, Navneet Goyal, Poonam Goyal:
AnyStreamKM: Anytime k-medoids Clustering for Streaming Data. 844-853 - Tianwen Chen, Raymond Chi-Wing Wong:
Improving Representation Learning for Session-based Recommendation. 854-863 - Qi Chen, Yifei Wang, Yisen Wang, Jianlong Chang, Qi Tian, Jiansheng Yang, Zhouchen Lin:
Efficient and Scalable Implicit Graph Neural Networks with Virtual Equilibrium. 864-873 - Jing Chen, Germán Creamer, Yue Ning:
Forecasting Emerging Pandemics with Transfer Learning and Location-aware News Analysis. 874-883 - Ebba Ekblom, Edvin Listo Zec, Olof Mogren:
EFFGAN: Ensembles of fine-tuned federated GANs. 884-892 - Lubna Eljabu, Mohammad Etemad, Stan Matwin:
Spatial Clustering Method of Historical AIS Data for Maritime Traffic Routes Extraction. 893-902 - Jared Gridley, Oshani Seneviratne:
Significant Digits: Using Large-Scale Blockchain Data to Predict Fraudulent Addresses. 903-910 - Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt:
Heterogeneity-Aware Adaptive Federated Learning Scheduling. 911-920 - Jiayue Han, Zhiqiang Cai, Zhiyou Wu, Xiang Zhou:
Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network. 921-930 - Po-Wei Harn, Sai Deepthi Yeddula, Bo Hui, Jie Zhang, Libo Sun, Min-Te Sun, Wei-Shinn Ku:
IGRP: Iterative Gradient Rank Pruning for Finding Graph Lottery Ticket. 931-941 - Andrew Hill, Russell Bowler, Katerina J. Kechris, Farnoush Banaei Kashani:
Semi-supervised Embedding for Scalable and Accurate Time Series Clustering. 942-951 - Ke Huang, Jifeng Sun, Zuominyang Zhang, Ying Ye, Wenjian Hou:
Dynamic network of commodity futures market and systemic risk contribution of key commodities. 952-961 - Tao Huang, Qingyang Li, Zhiwei Qin:
Multiple Tiered Treatments Optimization with Causal Inference on Response Distribution. 962-971 - Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier:
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters. 972-981 - Jun-Gi Jang, Jeongyoung Lee, Jiwon Park, U Kang:
Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values. 982-991 - Shayan Jawed, Lars Schmidt-Thieme:
GQFormer: A Multi-Quantile Generative Transformer for Time Series Forecasting. 992-1001 - Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas:
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality. 1002-1013 - Aneesh Komanduri, Yongkai Wu, Wen Huang, Feng Chen, Xintao Wu:
SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge. 1014-1023 - Yijun Lin, Yao-Yi Chiang:
A Semi-Supervised Learning Approach for Abnormal Event Prediction on Large Network Operation Time-Series Data. 1024-1033 - Cheng-Han Lu, Shih-Hao Hung:
FEZ: Flexible and Efficient Zoom-In for Ultra-Large Image Classification. 1034-1043 - Roberto Mansilla, Gavin Smith, Andrew Smith, James Goulding:
Bundle entropy as an optimized measure of consumers' systematic product choice combinations in mass transactional data. 1044-1053 - Sumanta Mukherjee, Arindam Jati, Kanthi K. Sarpatwar, Roman Vaculín:
Physics-based multiple time-series univariate forecasting. 1054-1059 - Helene Orsini, Hongyan Bao, Yujun Zhou, Xiangrui Xu, Yufei Han, Longyang Yi, Wei Wang, Xin Gao, Xiangliang Zhang:
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs. 1060-1069 - Ting Pan, Wenjun Wang, Minglai Shao, Yueheng Sun, Pengfei Jiao:
Role-Oriented Dynamic Network Embedding. 1070-1079 - Ji-Young Park, Lin Liu, Jixue Liu, Jiuyong Li:
Randomize Adversarial Defense in a Light Way. 1080-1089 - Shuxin Qin, Jing Zhu, Dan Wang, Liang Ou, Hongxin Gui, Gaofeng Tao:
Decomposed Transformer with Frequency Attention for Multivariate Time Series Anomaly Detection. 1090-1098 - Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta:
Functional approach for Two Way Dimension Reduction in Time Series. 1099-1106 - Hadi Salman, Caleb Parks, Shi Yin Hong, Justin Zhan:
WaveNets: Wavelet Channel Attention Networks. 1107-1113 - Kanghyeon Seo, Jihoon Yang:
Exploring Multi-Time Context Vector and Randomness for Stock Movement Prediction. 1114-1123 - Seonguk Seo, Jihye Ha, Jieun Shin, Sunah Kim, Taeho Hwang:
A Unified Model for Bid Landscape Forecasting in the Mixed Auction Types of Real-Time Bidding. 1124-1133 - Lijiang Shao, Wenjin Wang, Shiguo Huang, Xiaolin Li:
LLU-Swin: Low-Light Image Enhancement with U-shaped Swin Transformer. 1134-1141 - Xingyu Su, Yanyan Shen:
Tab-HGNN: Learning Column Representation with Heterogeneous Graph Neural Network for Web Table Interpretation. 1142-1151 - Lawrence Wong, Dongyu Liu, Laure Berti-Équille, Sarah Alnegheimish, Kalyan Veeramachaneni:
AER: Auto-Encoder with Regression for Time Series Anomaly Detection. 1152-1161 - Zihang Xu, Luoyi Fu, Xinbing Wang:
PromptRGD: Prompt Learning with Relation-aware Gradient Denoising for Low-resource Relation Extraction. 1162-1171 - Zipei Yan, Linchuan Xu, Atsushi Suzuki, Jing Wang, Jiannong Cao, Jun Huang:
RGB Color Model Aware Computational Color Naming and Its Application to Data Augmentation. 1172-1181 - Zhaofeng Yu, Kun Niu, Xiao Chen, Zhijun Guo, Dongsheng Li:
A Hybrid Model Based on NeuralProphet and Long Short-Term Memory for Time Series Forecasting. 1182-1191 - Rui Zhang, Jianjun Yu, Yuanchun Zhou:
AuxPOS: Improving Grammatical Correctness with Big Data Based Text Summarization. 1192-1201 - Tian Zhou, Fubao Wu, Lixin Gao:
Profiling-free Configuration Adaptation and Latency-Aware Resource Scheduling for Video Analytics. 1202-1211 - He Cheng, Depeng Xu, Shuhan Yuan:
Sequential Anomaly Detection with Local and Global Explanations. 1212-1217 - Charles Courchaine, Ricky J. Sethi:
Fuzzy Law: Towards Creating a Novel Explainable Technology-Assisted Review System for e-Discovery. 1218-1223 - Siddhartha Shankar Das, Mahantesh Halappanavar, Antonino Tumeo, Edoardo Serra, Alex Pothen, Ehab Al-Shaer:
VWC-BERT: Scaling Vulnerability-Weakness-Exploit Mapping on Modern AI Accelerators. 1224-1229 - Mohamed Elzohairy, Mohak Chadha, Anshul Jindal, Andreas Grafberger, Jianfeng Gu, Michael Gerndt, Osama Abboud:
FedLesScan: Mitigating Stragglers in Serverless Federated Learning. 1230-1237 - Yugo Fujimoto, Kei Nakagawa, Kentaro Imajo, Kentaro Minami:
Uncertainty Aware Trader-Company Method: Interpretable Stock Price Prediction Capturing Uncertainty. 1238-1245 - Xiaoyu Guo, Usman Anjum, Jusin Zhan:
Cyberbully Detection Using BERT with Augmented Texts. 1246-1253 - Huaxiong Yao, Jia Guo, JunTao Yang, ZuoQuan Xie, Renyi Chen, MengLing Hu:
Dynamic Graph Attention Recurrent Network for Traffic Prediction. 1254-1259 - Nevo Itzhak, Shahar Tal, Hadas Cohen, Osher Daniel, Roze Kopylov, Robert Moskovitch:
Classification of Univariate Time Series via Temporal Abstraction and Deep Learning. 1260-1265 - Yufei Jin, Xingquan Zhu:
Predictive Masking for Semi-Supervised Graph Contrastive Learning. 1266-1271 - Arshveer Kaur, Poonam Goyal, Kartik Sharma, Lakshay Sharma, Navneet Goyal:
A Generalized Multimodal Deep Learning Model for Early Crop Yield Prediction. 1272-1279 - Sabuj Laskar, Muhammad Abdullah Adnan:
Fast Support Vector Machine Using Singular Value Decomposition. 1280-1285 - Jaewoo Lee:
MBAG: A Scalable Mini-Block Adaptive Gradient Method for Deep Neural Networks. 1286-1291 - Xiaoxiao Li, Zhao Song, Runzhou Tao, Guangyi Zhang:
A Convergence Theory for Federated Average: Beyond Smoothness. 1292-1297 - Mengran Li, Xinglin Piao, Yong Zhang, Yongli Hu, Baocai Yin:
SHCN: Self-supervised General Hypergraph Clustering Network. 1298-1303 - Xinqi Lyu, Yibo Chen, Jiamin Chen, Xiangyue Liu, Jianliang Gao:
Spatio-Temporal Based Architecture Topology Search for Multivariate Time Series Prediction. 1304-1309 - Raha Moraffah, Paras Sheth, Huan Liu:
Exploring the Target Distribution for Surrogate-Based Black-Box Attacks. 1310-1315 - Quentin R. Petit, Chong Li, Serge G. Petiton, Kelun Chai, Nahid Emad:
Enhancing Graph Convolutional Networks by Topology Sampling. 1316-1323 - Wenting Qi, Charalampos Chelmis:
Robust Learning with Noisy Label Detection and Counterfactual Correction. 1324-1329 - Wenting Qi, Charalampos Chelmis:
Label Denoising and Counterfactual Explanation with A Plug and Play Framework. 1330-1335 - Xin Qian, Matthew Kennedy, Diego Klabjan:
Dynamic Cell Structure via Recursive-Recurrent Neural Networks. 1336-1349 - Xiaoli Ren, Kefeng Deng, Kaijun Ren, Junqiang Song, Xiaoyong Li, Qing Xu:
FVec2vec: A Fast Nonlinear Dimensionality Reduction Approach for General Data. 1350-1355 - Riazat Ryan, Ming Shao:
Critic-over-Actor-Critic Modeling: Finding Optimal Strategy in ICU Environments. 1356-1361 - Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto:
Road Rutting Detection using Deep Learning on Images. 1362-1368 - Zhuo Tan, Bin Liu, Guosheng Yin:
Asymmetric Self-Supervised Graph Neural Networks. 1369-1376 - Swapna Thorve, Anil Vullikanti, Henning S. Mortveit, Samarth Swarup, Madhav V. Marathe:
Fidelity and diversity metrics for validating hierarchical synthetic data: Application to residential energy demand. 1377-1382 - Yibo Wang, Congying Xia, Guan Wang, Philip S. Yu:
Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing. 1383-1388 - Jun Wu, Hanghang Tong, Elizabeth A. Ainsworth, Jingrui He:
Adaptive Knowledge Transfer on Evolving Domains. 1389-1394 - Yiming Xu, Diego Klabjan:
Open Set Domain Adaptation by Extreme Value Theory. 1395-1400 - Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li:
PaddleBox: Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. 1401-1408 - Mengmeng Zhu, Shouhong Wan, Peiquan Jin, Peiyi Zhang:
DFFNet: Dynamic Feature Fusion Network for Weakly Supervised Object Detection in Remote Sensing Images. 1409-1414 - Karuna Bhaila, Yongkai Wu, Xintao Wu:
Fair Collective Classification in Networked Data. 1415-1424 - Alycia N. Carey, Wei Du, Xintao Wu:
Robust Personalized Federated Learning under Demographic Fairness Heterogeneity. 1425-1434 - Wei Du, Xintao Wu, Hanghang Tong:
Fair Regression under Sample Selection Bias. 1435-1444 - Po-Wei Harn, Sai Deepthi Yeddula, Libo Sun, Min-Te Sun, Wei-Shinn Ku:
Location-based Alert System Using Searchable Encryption with Hilbert Curve Encoding. 1445-1454 - Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong:
InfoFair: Information-Theoretic Intersectional Fairness. 1455-1464 - Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios:
User-Entity Differential Privacy in Learning Natural Language Models. 1465-1474 - Vinay M. S., Shuhan Yuan, Xintao Wu:
Fraud Detection via Contrastive Positive Unlabeled Learning. 1475-1484 - Lorenzo Mannocci, Stefano Cresci, Anna Monreale, Athina Vakali, Maurizio Tesconi:
MulBot: Unsupervised Bot Detection Based on Multivariate Time Series. 1485-1494 - Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh:
Robust Text CAPTCHAs Using Adversarial Examples. 1495-1504 - Parshin Shojaee, Yingyan Zeng, Muntasir Wahed, Avi Seth, Ran Jin, Ismini Lourentzou:
Task-Driven Privacy-Preserving Data-Sharing Framework for the Industrial Internet. 1505-1514 - Minh-Hao Van, Wei Du, Xintao Wu, Feng Chen, Aidong Lu:
Defending Evasion Attacks via Adversarially Adaptive Training. 1515-1524 - Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa, Huizhong Li, Qiang Yan:
FL-Market: Trading Private Models in Federated Learning. 1525-1534 - Ion-Dorinel Filip, Cosmin Ionite, Alba González-Cebrián, Mihaela Balanescu, Ciprian Dobre, Adriana E. Chis, Dave Feenan, Adrian-Alexandru Buga, Ioan-Mihai Constantin, George Suciu, George V. Iordache, Horacio González-Vélez:
Smardy: Zero-Trust FAIR Marketplace for Research Data. 1535-1541 - Kawsar Haghshenas, Brian Setz, Marco Aiello:
CO2 Emission Aware Scheduling for Deep Neural Network Training Workloads. 1542-1549 - Keshav Kasichainula, Hadi Mansourifar, Weidong Shi:
RAF: Recursive Adversarial Attacks on Face Recognition Using Extremely Limited Queries. 1550-1555 - Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen:
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models. 1556-1563 - Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
SG-CF: Shapelet-Guided Counterfactual Explanation for Time Series Classification. 1564-1569 - Sudipta Saha Shubha, Haiying Shen:
Trustworthy Distributed Deep Neural Network Training in an Edge Device Network. 1570-1575 - Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa:
Asymmetric Differential Privacy. 1576-1581 - Khang Tran, Phung Lai, NhatHai Phan, Issa Khalil, Yao Ma, Abdallah Khreishah, My T. Thai, Xintao Wu:
Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks. 1582-1587 - Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang:
Boosting Demographic Fairness of Face Attribute Classifiers via Latent Adversarial Representations. 1588-1593 - Aniruddha Adiga, Gursharn Kaur, Benjamin Hurt, Lijing Wang, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe:
Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources. 1594-1603 - Masahiro Bessho, Ken Sakamura:
Store Congestion Forecast under the Pandemic using Point of Sales Statistics. 1604-1612 - Huaxiong Yao, Renyi Chen, Zuoquan Xie, Juntao Yang, Mengling Hu, Jia Guo:
MRA-DGCN: Multi-Range Attention-Based Dynamic Graph Convolutional Network for Traffic Prediction. 1613-1621 - Dan Halbersberg, Matan Halevi, Moshe Salhov:
Revenue Maximization at Waterfall Auctions with Dynamic Programming. 1622-1631 - Tianyuan Huang, Timothy Dai, Zhecheng Wang, Hesu Yoon, Hao Sheng, Andrew Y. Ng, Ram Rajagopal, Jackelyn Hwang:
Detecting Neighborhood Gentrification at Scale via Street-level Visual Data. 1632-1640 - Shohaib Mahmud, Haiying Shen, Ying Natasha Zhang Foutz, Joshua Anton:
ESEP: Data-Driven Emergency and Safe Evacuation Driving Path Planning During Natural Catastrophes. 1641-1650 - Gyoung S. Na:
Conditional Graph Regression for Complex Chemical Systems with Heterogeneous Substructures. 1651-1660 - Keiichi Ochiai, Hiroyuki Sato, Hiroshi Kawakami, Takahiro Ide, Toru Otaki, Akira Yamada, Tatsuya Yano, Hiroki Okawa, Takuya Shirai, Yutaka Arakawa:
Encouraging Crowd Avoidance Behavior using Dynamic Pricing Framework Towards Preventing the Spread of COVID-19. 1661-1670 - Jan Ludwig Reubold, Stephan Escher, Christian Wressnegger, Thorsten Strufe:
to Protect the Public Opinion Against New Types of Bots? 1671-1680 - Daniel Roten, Jessica Block, Daniel Crawl, Jenny Lee, Ilkay Altintas:
Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction. 1681-1690 - Yejun Soun, Jaemin Yoo, Minyong Cho, Jihyeong Jeon, U Kang:
Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets. 1691-1700 - Ajitesh Srivastava, Satwant Singh, Fiona Lee:
Shape-based Evaluation of Epidemic Forecasts. 1701-1710 - You Xuan Thung, Tom Benson, Nikita Klimenko:
Detecting languages in streetscapes using deep convolutional neural networks. 1711-1718 - Laura Uhl, Vincent Augusto, Vincent Lemaire, Youenn Alexandre, Fanny Jardinaud, Paolo Bercelli, Saber Aloui:
Progressive prediction of hospitalisation and patient disposition in the emergency department. 1719-1728 - Julio J. Valdés, Karim Habashy, Pengcheng Xi, Madison Cohen-McFarlane, Bruce Wallace, Rafik Goubran, Frank Knoefel:
Cough Classification with Deep Derived Features using Audio Spectrogram Transformer. 1729-1739 - Tian Xia, Bo Hui, Wei-Shinn Ku:
APIP: Attention-based Protein Representation Learning for Protein-Ligand Interface Prediction. 1740-1749 - Di You, Thanh Tran, Kyumin Lee:
Multi-Behavior Recommendation with Hyperbolic Geometry. 1750-1759 - Siqian Zhao, Chunpai Wang, Shaghayegh Sahebi:
Transition-Aware Multi-Activity Knowledge Tracing. 1760-1769 - Iuliia Alieva, Lynnette Hui Xian Ng, Kathleen M. Carley:
Investigating the Spread of Russian Disinformation about Biolabs in Ukraine on Twitter Using Social Network Analysis. 1770-1775 - Enrico Bassetti, Andrea Conti, Emanuele Panizzi, Gabriele Tolomei:
ISIDE: Proactively Assist University Students at Risk of Dropout. 1776-1783 - Peter Baumann, Johannes Boensmann, Bang Pham Huu:
Building the Next-Generation Radio Networks Planning Infrastructure using Datacubes. 1784-1792 - Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel:
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets. 1793-1800 - Xianlai Chen, Jiamiao Lin, Ying An:
DL-BERT: a time-aware double-level BERT-style model with pre-training for disease prediction. 1801-1808 - Yu-Min Chung, Amir Nikooienejad, Bo Zhang:
Automatic Eating Behavior Detection from Wrist Motion Sensor Using Bayesian, Gradient Boosting, and Topological Persistence Methods. 1809-1815 - Zhongfen Deng, Wei-Te Chen, Lei Chen, Philip S. Yu:
AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction. 1816-1821 - Wenbin Gan, Minh-Son Dao, Koji Zettsu:
An Open Case-based Reasoning Framework for Personalized On-board Driving Assistance in Risk Scenarios. 1822-1829 - Hangtao He, Kejiang Ye:
Graph Structure Neural Differential Equations on Spatio-temporal Prediction. 1830-1835 - Sea Jung Im, Yue Xu, Jason Watson:
Semantic-based Attention model for Hospital Readmission Prediction. 1836-1841 - Hamid Karimi, Kaitlin Torphy Knake, Kenneth A. Frank:
Teachers in Social Media: A Gender-aware Behavior Analysis. 1842-1849 - Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit, Huzefa Rangwala:
Cross-Lingual Text Classification of Transliterated Hindi and Malayalam. 1850-1857 - Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Fan Zhang, Hiroshi Omata, Yoshihide Sekimoto:
Vehicle re-identification and trajectory reconstruction using multiple moving cameras in the CARLA driving simulator. 1858-1865 - Minh-Huong Le Nguyen, Fabien Turgis, Pierre-Emmanuel Fayemi, Albert Bifet:
Continuous Health Monitoring of Machinery using Online Clustering on Unlabeled Data Streams. 1866-1873 - Yu Li, Yi Zhang, Weijia Wu, Zimu Zhou, Qiang Li:
POSGen: Personalized Opening Sentence Generation for Online Insurance Sales. 1874-1879 - Jingzhe Liu, Peng Wu:
Penalty Prediction Based on Modulated Hierarchical Attention Coupled with Legal Attribute Recognition. 1880-1885 - Justin Mao, Oliver Yun, Hanjun Kim, Haipeng Chang, Xuehan Sun:
MeWP: Meta-learning based Water-Level Prediction. 1886-1891 - Fernando Kaway Carvalho Ota, Farouk Damoun, Sofiane Lagraa, Patricia Becerra-Sánchez, Christophe Atten, Jean Hilger, Radu State:
Mobile Application Behaviour Anomaly Detection based on API Calls. 1892-1899 - Yanbo Pang, Yoshihide Sekimoto:
Deep Learning for Destination Choice Modeling: A Fundamental Approach for National Level People Flow Reconstruction. 1900-1905 - Erick Skorupa Parolin, Yibo Hu, Latifur Khan, Patrick T. Brandt, Javier Osorio, Vito D'Orazio:
Confli-T5: An AutoPrompt Pipeline for Conflict Related Text Augmentation. 1906-1913 - Taruna Seth, Cristian Tiu, Vipin Chaudhary:
A Unified Framework to Assess Market Implications of Institutional Investments. 1914-1921 - Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Venkataramana Runkana:
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization. 1922-1929 - Yi Sun, Yukio Ohsawa:
The impact of product descriptions on customers' trust in sellers and purchase intention. 1930-1935 - Anika Tabassum, Nikhil Muralidhar, Ramakrishnan Kannan, Srikanth Allu:
MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning. 1936-1941 - Cameron Trotter, Nick Wright, A. Stephen McGough, Matthew Sharpe, Barbara Cheney, Mònica Arso Civil, Reny Tyson Moore, Jason Allen, Per Berggren:
Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology. 1942-1949 - Pascal Wullschleger, Simone Lionetti, Donnacha Daly, Francesca Volpe, Grégoire Caro:
Auto-Regressive Self-Attention Models for Diagnosis Prediction on Electronic Health Records. 1950-1956 - Yuexin Xiang, Tiantian Li, Yuquan Li:
Leveraging Subgraph Structure for Exploration and Analysis of Bitcoin Address. 1957-1962 - Yuanyuan Zhang, Yexuan Shi, Nan Zhou, Yi Xu, Ke Xu:
Secure Multi-party kNN Search in Large-scale Spatial Data Federation. 1963-1968 - Swati Agarwal, Ashrut Kumar, Rijul Ganguly:
Mining Railway Grievances on Twitter for Efficient E-Governance in India. 1969-1978 - Shubhi Asthana, Bing Zhang, Pawan Chowdhary, Taiga Nakamura:
System and Method on Order Management Using Neural Networks and Risk Modeling. 1979-1986 - Carlos Garcia-Alvarado, Carlos Ordonez:
In-DBMS K-means Clustering for Binary Streams. 1987-1996 - Hao Huang, Tapan Shah, Shinjae Yoo:
Deep Time Series Sketching and Its Application on Industrial Time Series Clustering. 1997-2006 - Zhiren Huang, Alonso Espinosa Mireles de Villafranca, Charalampos Sipetas:
Sensing Multi-modal Mobility Patterns: A Case Study of Helsinki using Bluetooth Beacons and a Mobile Application. 2007-2016 - Yujiro Kawai, Eiichi Sakurai, Yuki Sugawara, Yukihiko Okada, Kai Tanabe, Akiko Tsukao, Shinya Kuno:
Predictive model of frailty onset using Bayesian network. 2017-2023 - Hossein Keshavarz, Zografoula Vagena, Pigi Kouki, Ilias Fountalis, Mehdi Mabrouki, Aziz Belaweid, Nikolaos Vasiloglou:
Named Entity Recognition in Long Documents: An End-to-end Case Study in the Legal Domain. 2024-2033 - Yuxin Liu, Kazuhiro Minami:
Flexible Partitioning of Geographical Information based on GPS Coordinates for k-Anonymity. 2034-2043 - Christian J. Mahoney, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang:
Explainable Text Classification Techniques in Legal Document Review: Locating Rationales without Using Human Annotated Training Text Snippets. 2044-2051 - Gilchan Park, Sean McCorkle, Carlos Soto, Ian Blaby, Shinjae Yoo:
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information. 2052-2061 - Yuya Takada, Kiyoshi Izumi:
Implementation of Biased Big Data to the Japanese Official Labor Statistics Using Supervised Learning under Covariate Shift. 2062-2071 - Shogo Takedomi, Tsukasa Ishigaki:
A practical facility location optimization with uncertain variables in emergency road services. 2072-2081 - Ankur Teredesai, Sijin Huang, Tucker Stewart, Juhua Hu, Armaan Thakker, Katherine Stern, Grant E. O'Keefe:
Sub-Sequence Graph Representation Learning on High Variability Data for Dynamic Risk Prediction in Critical Care. 2082-2092 - Vishnu Gowthem Thangaraj, Sangaralingam Kajanan, Nisha Verma, Sinuo Chen, Anindya Dutta:
Scalable Household Identification using Mobile Engagement Data - A Weighted Two-Mode Network Approach. 2093-2102 - Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters:
Decision Support for Disability Employment using Counterfactual Survival Analysis. 2103-2112 - Sahil Tyagi, Martin Swany:
ScaDLES: Scalable Deep Learning over Streaming data at the Edge. 2113-2122 - Xiang Xie, Muen Jin, Anqi Chu, Wilhelm Stork:
Minimal Cost Device Calibration in Spectral Analysis via Meta Learning: Towards Efficient Deployment of Deep Neural Networks in Industry. 2123-2132 - Yi Yang, Tan Yu, Jie Liu, Zhipeng Jin, Xuewu Jiao, Yi Li, Shuanglong Li, Ping Li:
Enhanced Video BERT for Fast Video Advertisement Retrieval. 2133-2139 - Tan Yu, Zhipeng Jin, Jie Liu, Yi Yang, Hongliang Fei, Ping Li:
Boost CTR Prediction for New Advertisements via Modeling Visual Content. 2140-2149 - Tan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li:
Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising. 2150-2159 - Weijie Zhao, Peng Yang, Dong Li, Xing Shen, Lin Li, Ping Li:
Feature Fusion Network for Personalized Online Advertising Systems. 2160-2168 - Yutaka Abe, Kazuhiro Minami:
Matching Attacks on Non-deterministic Algorithms for Cell Suppression Problem for Tabular Data. 2169-2174 - Vahid Azizi, Saayan Mitra, Xiang Chen:
Collaborative Filtering Guided Deep Reinforcement Learning for Sequential Recommendations. 2175-2181 - Tyler Baldwin, Wyatt Clarke, Maysa M. Garcia de Macedo, Rogério de Paula, Subhro Das:
Better Skill-based Job Representations, Assessed via Job Transition Data. 2182-2185 - Indervir Singh Banipal, Shubhi Asthana:
Smart System for Multi-Cloud Pathways. 2186-2189 - Mariam Barry, Albert Bifet, Raja Chiky, Saad El Jaouhari, Jacob Montiel, Aissa El Ouafi, Eric Guerizec:
Stream2Graph: Dynamic Knowledge Graph for Online Learning Applied in Large-scale Network. 2190-2197 - Mariam Barry, Saad El Jaouhari, Albert Bifet, Jacob Montiel, Eric Guerizec, Raja Chiky:
StreamFlow: A System for Summarizing and Learning Over Industrial Big Data Streams. 2198-2205 - Marcos Carvalho, Vítor Mangaravite, Lucas M. Ponce, Luiz Cantelli, Bruno Campoi, Gabriel Nunes, Bruno Barbosa Miranda de Paiva, Alberto H. F. Laender, Marcos André Gonçalves:
Deduplicating Large Volumes of Data from Natural and Legal Entities in the Governmental Field. 2206-2213 - Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos:
TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs. 2214-2217 - Gero Dittmann, Chris Giblin, Michael Osborne, Rahul Rahul:
Automating privacy compliance in the decentralized enterprise. 2218-2223 - Rashed Doha, Mohammad Al Hasan, Sohel Anwar:
Semantic Segmentation Approaches in Crop Row Detection. 2224-2230 - Bradley Eck, Duygu Kabakci-Zorlu, Yan Chen, France Savard, Xiaowei Bao:
A monitoring framework for deployed machine learning models with supply chain examples. 2231-2238 - Pedro Fidalgo, Rui J. Lopes, Christos Faloutsos:
Star-Bridge: a topological multidimensional subgraph analysis to detect fraudulent nodes and rings in telecom networks. 2239-2242 - Daniel F. Fonner, Frank P. Coyle:
Explainable Machine Learning Models for Evaluating Government Grantmaking. 2243-2248 - Hikojiro Fujiwara, Satoru Hagino:
Data Utilization in the Education Field by Local and Central Governments in Japan. 2249-2252 - Saksham Gandhi, Raj Nagesh, Subhro Das:
Learning skills adjacency representations for optimized reskilling recommendations. 2253-2258 - Gloria Hristova, Nikolay Netov:
Media Coverage and Public Perception of Distance Learning During the COVID-19 Pandemic: A Topic Modeling Approach Based on BERTopic. 2259-2264 - Shotaro Ishihara, Yasufumi Nakama:
Analysis and Estimation of News Article Reading Time with Multimodal Machine Learning. 2265-2268 - Jain Sumit, Kazune Furudo, Yuiko Kumagai, Satoshi Kamatani:
A Scalable, Geospatial Segmentation Method for Visiting Trend Analysis. 2269-2272 - Yohay Kaplan, Alex Shtoff, Tomer Shadi, Oren Somekh, Yair Koren:
Conversion-Based Dynamic-Creative-Optimization in Native Advertising. 2273-2278 - Robert Keeling, Ava Guo, Peter Gronvall, Nathaniel Huber-Fliflet, Jianping Zhang:
Integration of Rule-Based Reasoning and Transfer Learning in Legal Document Review. 2279-2284 - Elham Khabiri, Bhavna Agrawal, Joseph Lindquist, Yingjie Li, Anuradha Bhamidipaty:
Big data techniques for industrial problems with little data. 2285-2289 - Pooreumoe Kim, Jungsoo Park, Seungyoun Lee, Jungmin Kim:
Similarity-based Historical Input Selection to Predict Irregular Holiday Traffics in Real-time. 2290-2296 - Alvina Lee Hui Shan, Venky Shankararaman, Eng Lieh Ouh:
Implementation of Empath X SLA predictive tool for a Government Agency in Singapore. 2297-2304 - Kyumin Lee, Guanyi Mou, Scott Sievert:
Energy-based Domain Adaption with Active Learning for Emerging Misinformation Detection. 2305-2308 - Lihui Liu, Houxiang Ji, Jiejun Xu, Hanghang Tong:
Comparative Reasoning for Knowledge Graph Fact Checking. 2309-2312 - Yizhi Mao, Miao Chen, Bill Dorn, Yan He:
A Hybrid Approach to Similar Stock Recommender with Taxonomy and Behavior Data. 2313-2316 - Ariana Martino, Allison Rossetto:
A Hybrid Score to Optimize Clustering Hyperparameters for Online Search Term Data. 2317-2322 - Priya Mehta, Sanat Bhargava, K. Sandeep Kumar, Ravi Kumar, Ch. Sobhan Babu:
Representation Learning on Graphs to Identifying Circular Trading in Goods and Services Tax. 2323-2326 - Naoto Minakawa, Kiyoshi Izumi, Hiroki Sakaji:
Bilateral Trade Flow Prediction by Gravity-informed Graph Auto-encoder. 2327-2332 - Yuki Nishiguchi, Hiroaki Aoki, Takafumi Onishi, Julius Michaelis, Yasuhiko Kanemasa:
Recovery-Robust Inquiry to External Services from Stream Processing Application. 2333-2338 - Osamu Ochiai, Mariko Harada, Ko Hamamoto:
Earth Observation Data Utilization for SDGs Indicators: 15.4.2 and 11.3.1. 2339-2342 - Dhaval Patel, Shuxin Lin, Jayant Kalagnanam:
DSServe - Data Science using Serverless. 2343-2345 - Parag Paul, Wenlu Wang, Haiquan Chen, Wei-Shinn Ku:
Regression-based Optimizer Statistics generation based on q-error. 2346-2351 - Hiroki Sakaji, Masahiro Suzuki, Kiyoshi Izumi, Hiroyuki Mitsugi:
Gradual Further Pre-training Architecture for Economics/Finance Domain Adaptation of Language Model. 2352-2355 - Dhaval Salwala, Seshu Tirupathi, Brian Quanz, Wesley M. Gifford, Stuart Siegel, Vijay Ekambaram, Arindam Jati:
Distributed Incremental Machine Learning for Big Time Series Data. 2356-2363 - Shreya Saxena, Raj Sangani, Siva Prasad, Shubham Kumar, Mihir Athale, Rohan Awhad, Vishal Vaddina:
Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents. 2364-2369 - Yoshiyuki Suimon, Hiroto Tanabe, Kiyoshi Izumi:
The relationship between Twitter sentiment and mobility during the COVID-19 pandemic. 2370-2372 - Rei Taguchi, Hiroki Sakaji, Kiyoshi Izumi:
SSAAM: Sentiment Signal-based Asset Allocation Method with Causality Information. 2373-2376 - Takehiro Takayanagi, Hiroki Sakaji, Kiyoshi Izumi:
SETN: Stock Embedding Enhanced with Textual and Network Information. 2377-2382 - Pavlo Tertychnyi, Tommy Lindström, Changling Liu, Marlon Dumas:
Detecting Group Behavior for Anti-Money Laundering With Incomplete Network Information. 2383-2388 - Hong-Linh Truong, Ngoc Nhu Trang Nguyen:
HAIVAN: a Holistic ML Analytics Infrastructure for a Variety of Radio Access Networks. 2389-2393 - Chia-Ping Tsai, Hung-Chang Hsiao, Yu-Chen Lai:
The Data Recovery Service in NoSQL. 2394-2401 - Chandrasekar Vuppalapati, Anitha Ilapakurti, Sandhya Vissapragada, Vanaja Mamaidi, Sharat Kedari, Raja Vuppalapati, Santosh Kedari, Jaya Vuppalapati:
The Future of Extreme Weather Events - Advanced Machine Learning and Artificial Intelligence for Democratic Institution preparedness and enhanced National Food Security! 2402-2410 - Liang Wang, Junpeng Wang, Yan Zheng, Shubham Jain, Chin-Chia Michael Yeh, Zhongfang Zhuang, Javid Ebrahimi, Wei Zhang:
Learning from Disagreement for Event Detection. 2411-2418 - Huanchen Wang, Quanjun Chen, Zheng Dong, Xuan Song, Hao Tian, Donglong Yang, Manxia Liu:
A Geomagnetic Sensor Dataset for Traffic Flow Prediction. 2419-2422 - Wenqi Wei, Mu Qiao, Eric Butler, Divyesh Jadav:
Graph Representation Learning based Vulnerable Target Identification in Ransomware Attacks. 2423-2430 - Xiang Xie, Tiantian Chen, Wilhelm Stork:
Enabling Real-Time Low-Cost Spectral Analysis on Edge Devices with Deep Neural Networks: a Robust Hybrid Approach. 2431-2436 - Koichiro Yawata, Yoshihiro Osakabe, Takuya Okuyama, Akinori Asahara:
QUBO-inspired Molecular Fingerprint for Chemical Property Prediction. 2437-2440 - Tan Yu, Jun Zhi, Yufei Zhang, Jian Li, Hongliang Fei, Ping Li:
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning. 2441-2445 - Hui Zhang, Ju Ji, Guangchen Ruan, Neel Patel, Regan Giesting, Leah Miller, Yi Lin Yang, Jian Yang:
Digital Data Platform for Connected Clinical Trials. 2446-2453 - Jason Zhang, Krerkkiat Chusap, Wei Zhang, Chang Liu:
Improving Paper Classification Using Forecasting. 2454-2460 - Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li:
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. 2461-2466 - Ghassan Al-Sumaidaee, Anastasios Alexandridis, Rami Alkhudary, Zeljko Zilic:
A Technical Assessment of Blockchain in Healthcare with a Focus on Big Data. 2467-2472 - Bipasha Banerjee, William A. Ingram, Jian Wu, Edward A. Fox:
Applications of data analysis on scholarly long documents. 2473-2481 - Cristian Berrío-Zapata, Ester Ferreira da Silva, Mayara Costa Pinheiro, Vinicius Augusto Carvalho de Abreu, Cristiano Mendel Martins, Mario Augusto Gongora, Kelso Dunman:
The Arquive of Tatuoca Magnetic Observatory Brazil: from paper to intelligent bytes. 2482-2489 - Sarah Bratt, Alexander O. Smith:
Evolutionary Archives: The Unlikely Comparison of GenBank and Know Your Meme. 2490-2499 - Sarah A. Buchanan, Karen F. Gracy, Joshua Kitchens, Richard Marciano:
Computational Thinking Integration into Archival Educators' Networked Instruction. 2500-2506 - Adam J. Doherty, Rachel Murphy, Alexander Schieweck, Stuart Clancy, Ciara Breathnach, Tiziana Margaria:
CensusIRL: Historical census data preparation with MDD support. 2507-2514 - David Giaretta, Teófilo Redondo, Antonio G. Martinez, Maria Fuertes:
LABDRIVE, a Petabyte scalable, OAIS/ISO 16363 conformant, for scientific research organisations to preserve documents, processed data, and software. 2515-2521 - Horacio González-Vélez, Ciprian Dobre, Barbara Sánchez Solís, Giulia Antinucci, Dave Feenan, Dana Gheorghe:
Open Science and Research Data Management: A FAIR European Postgraduate Programme. 2522-2531 - Ashley Gosselar:
A Data-Driven Approach to Reparative Description at the University of Chicago. 2532-2540 - Laura Kitchings:
Teachable Insights from Working with The Mary Eliza Project for Gastronomy Students Working with Data. 2541-2545 - Nathaniel Payne:
An Intelligent Class: The Development Of A Novel Context Capturing Method For The Functional Auto Classification Of Records. 2546-2555 - Siqi Peng, Akihiro Yamamoto, Shinsuke Mori, Tatsuki Sekino:
Event Time Extraction from Japanese News Archives. 2556-2564 - Joel Pepper, Andrew Senin, Dom Jebbia, David E. Breen, Jane Greenberg:
Metadata Verification: A Workflow for Computational Archival Science. 2565-2571 - Pepita Raventós Pajares, Celio Hernández-Tornero, Meritxell Simon Martin:
AI and archive. Handwritten Text Recognition Applied to Patrimonial Holdings: An Example of 10 diaries written by Spanish Republican Teachers in 1932. 2572-2577 - Hsin-Ju Chan, Chin-Yuan Hsu, Ching-Chang Chien, Ji-Jie Wu, He-Lin Ku:
FeedRef2022: A Named Entity Recognition Dataset for Extracting Indicators of Compromise. 2578-2584 - Robert Andrew Chetwyn, László Erdodi:
Towards Dynamic Capture-The-Flag Training Environments For Reinforcement Learning Offensive Security Agents. 2585-2594 - Håkon Svee Eriksson, Gudmund Grov:
Towards XAI in the SOC - a user centric study of explainable alerts with SHAP and LIME. 2595-2600 - Konstantinos Fysarakis, Vasileios Mavroeidis, Manos Athanatos, George Spanoudakis, Sotiris Ioannidis:
A Blueprint for Collaborative Cybersecurity Operations Centres with Capacity for Shared Situational Awareness, Coordinated Response, and Joint Preparedness. 2601-2609 - Julie Gjerstad, Fikret Kadiric, Gudmund Grov, Espen Hammer Kjellstadli, Markus Leira Asprusten:
LADEMU: a modular & continuous approach for generating labelled APT datasets from emulations. 2610-2619 - Øyvind Anders Arntzen Toftegaard:
An Effect Analysis of ISO/IEC 27001 Certification on Technical Security of Norwegian Grid Operators. 2620-2629 - Konstantinos Touloumis, Ariadni Michalitsi-Psarrou, Anna Georgiadou, Dimitris Askounis:
A tool for assisting in the forensic investigation of cyber-security incidents. 2630-2636 - Anindya Datta, Sangaralingam Kajanan, Sinuo Chen, Dat Tran, Sourjya Sen, Ravish Ranjan:
Anovos: A Scalable Feature Engineering Library. 2637-2644 - Christian Haertel, Matthias Pohl, Daniel Staegemann, Klaus Turowski:
Project Artifacts for the Data Science Lifecycle: A Comprehensive Overview. 2645-2654 - Kerk F. Kee, Alex Olshansky, Shan Xu:
An Organizational Framework of Institutional Stakeholder Engagement for Capacity to Support Big Data Science Teams Towards Cyberinfrastructure Diffusion. 2655-2659 - Carolyn McGregor, Catherine Inibhunu:
A Framework for the Design, Development, Testing and Deployment of Reliable Big Data Platforms. 2660-2666 - Jeffrey S. Saltz:
Nine Questions to Evaluate a Data Science Team's Process: Exploring a Big Data Science Team Process Evaluation Framework Via a Delphi Study. 2667-2672 - Jasmina Tacheva, Sucheta Lahiri, Jeffrey S. Saltz:
Analyzing a Data Science Online Practitioner Community: Trends and Implications for Data Science Project Management. 2673-2681 - Cristina Tavares, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Adaptive Method for Machine Learning Model Selection in Data Science Projects. 2682-2688 - Jaeyoun You, Daemin Park, Joo-yeong Song, Bongwon Suh:
A Labeling Task Design for Supporting Recent Algorithmic Needs. 2689-2698 - Haochen Zou, Kun Xiang:
A Novel Rigorous Measurement Model for Big Data Quality Characteristics. 2699-2708 - Jonathan Bader, Joel Witzke, Soeren Becker, Ansgar Lößer, Fabian Lehmann, Leon Doehler, Anh Duc Vu, Odej Kao:
Towards Advanced Monitoring for Scientific Workflows. 2709-2715 - Tolga Büyüktanir, Mehmet S. Aktas:
A Deep Learning-based Prefetching Approach to Enable Scalability for Data-intensive Applications. 2716-2721 - Yasemin Orhun, Yigit Istanbullu, Ismail Ari:
FineCloud: Fine-grained Cloud Service Advisory using Machine Learning. 2722-2727 - Kaiying Shan, Niranda Perera, Damitha Lenadora, Tianle Zhong, Arup Kumar Sarker, Supun Kamburugamuve, Thejaka Amíla Kanewela, Chathura Widanage, Geoffrey C. Fox:
Hybrid Cloud and HPC Approach to High-Performance Dataframes. 2728-2736 - Beinan Wang, Chunxu Tang, Rongrong Zhong, Bin Fan, Yi Wang, Jasmine Wang, Shouwei Chen, Bowen Ding, Lu Zhang:
Metadata Caching in Presto: Towards Fast Data Processing. 2737-2741 - Axel Andersson, Nadezhda Koriakina, Natasa Sladoje, Joakim Lindblad:
End-to-end Multiple Instance Learning with Gradient Accumulation. 2742-2746 - Dillon Chrimes:
Big data analytics of predicting annual US Medicare billing claims with health services. 2747-5754 - Pranav Gujarathi, Jack VanSchaik, Venkata Mani Babu Karri, Anushri Singh Rajapuri, Biju Cheriyan, Thankam P. Thyvalikakath, Sunandan Chakraborty:
Mining Latent Disease Factors from Medical Literature using Causality. 2755-2764 - Hanseok Jeong, Junetae Kim, Jueun Jeong, Han-joon Kim:
Deep Learning Models with Stratification-based Loss Function on Domain Knowledge-based Time series Data: Hypotension Prediction. 2765-2770 - Daniel F. O. Onah, Elaine L. L. Pang, Mahmoud El-Haj:
A Data-driven Latent Semantic Analysis for Automatic Text Summarization using LDA Topic Modelling. 2771-2780 - Abdulmonem I Shennat, William W. Wadge, Alex Kuo:
The Dimensional Analysis of Data Flow Programs That Include Multidimensional and User-Defined Functions. 2781-2789 - Hamid Shojaei, Vincent Augusto:
"Constructing Machine Learning models for Orthodontic Treatment Planning: a comparison of different methods". 2790-2799 - Garima Thakur, Sitanshu Sekhar Sahu, Ying Xie, Sumit Chakravarty:
Classification of Heart Sound using Tunable Q Wavelet Transform and Machine Learning. 2800-2803 - M. L. Tlachac, Walter Gerych, Kratika Agrawal, Benjamin Litterer, Nicholas Jurovich, Saitheeraj Thatigotla, Jidapa Thadajarassiri, Elke A. Rundensteiner:
Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks. 2804-2813 - Shu-Lin Wang, I-En Chiang, Alex Kuo, Jing-Ya Lin:
Mobile Emotion Healthcare System Applying Sentiment analysis. 2814-2820 - Qiang Wei, Xu Zuo, Omer Anjum, Yan Hu, Ryan Denlinger, Elmer V. Bernstam, Martin J. Citardi, Hua Xu:
ClinicalLayoutLM: A Pre-trained Multi-modal Model for Understanding Scanned Document in Electronic Health Records. 2821-2827 - Oluwabunmi Ariyo, Jianjun Zheng:
A Study On Security and Privacy Risks of Self-Disclosure On Social Networking Sites During COVID-19 Pandemic. 2828-2832 - Ayda Demir, Luis Felipe Gutiérrez, Akbar Siami Namin, Stephen B. Bayne:
Solar Irradiance Prediction Using Transformer-based Machine Learning Models. 2833-2840 - Bimal Karki, Faranak Abri, Akbar Siami Namin, Keith S. Jones:
Using Transformers for Identification of Persuasion Principles in Phishing Emails. 2841-2848 - Pooja Krishan, Faranak Abri:
Classifying Perceived Emotions based on Polarity of Arousal and Valence from Sound Events. 2849-2856 - Hong Lin, Shicheng Wan, Wensheng Gan, Jiahui Chen, Han-Chieh Chao:
Metaverse in Education: Vision, Opportunities, and Challenges. 2857-2866 - Paolo Mignone, Donato Malerba, Michelangelo Ceci:
Anomaly Detection for Public Transport and Air Pollution Analysis. 2867-2874 - Do-Van Nguyen, Anh-Khoa Tran, Koji Zettsu:
FedProb: An Aggregation Method Based on Feature Probability Distribution for Federated Learning on Non-IID Data. 2875-2881 - Antonio Iyda Paganelli, André Sarmento, Adriano Branco, Markus Endler, Nathalia Moraes do Nascimento, Paulo S. C. Alencar, Donald D. Cowan:
Assessing Energy Consumption in Data Acquisition from Smart Wearable Sensors in IoT-Based Health Applications. 2882-2885 - Rishav Sen, Toan Tran, Seyedmehdi Khaleghian, Philip Pugliese, Mina Sartipi, Himanshu Neema, Abhishek Dubey:
BTE-Sim: Fast Simulation Environment For Public Transportation. 2886-2894 - Toan V. Tran, Seyedmehdi Khaleghian, Junxuan Zhao, Mina Sartipi:
SIMCal: A High-Performance Toolkit For Calibrating Traffic Simulation. 2895-2902 - Clay Adams, Malvina Bozhidarova, James Chen, Andrew Gao, Zhengtong Liu, J. Hunter Priniski, Junyuan Lin, Rishi Sonthalia, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Knowledge Graphs of the QAnon Twitter Network. 2903-2912 - Huma Jamil, Yajing Liu, Christina M. Cole, Nathaniel Blanchard, Emily J. King, Michael Kirby, Christopher Peterson:
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks. 2913-2921 - Fangfei Lan, Sourabh Palande, Michael Young, Bei Wang:
Uncertainty Visualization for Graph Coarsening. 2922-2931 - Dana Warmsley, Alex Waagen, Jiejun Xu, Zhining Liu, Hanghang Tong:
A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis. 2932-2939 - Ricardo A. Calix, J. J. Ben-Joseph, Nina Lopatina, Ryan Ashley, Mona Gogia, George Sieniawski, Andrea Brennen:
Saisiyat Is Where It Is At! Insights Into Backdoors And Debiasing Of Cross Lingual Transformers For Named Entity Recognition. 2940-2949 - Zefeng Chen, Jiayang Wu, Wensheng Gan, Zhenlian Qi:
Metaverse Security and Privacy: An Overview. 2950-2959 - Laurent d'Orazio, Jalil Boukhobza, Omer F. Rana, Juba Agoun, Le Gruenwald, Hervé Rannou, Elisa Bertino, Mohand-Saïd Hacid, Taofik Saïdi, Georges Bossert, Van Long Nguyen Huu, Dimitri Tombroff, Makoto Onizuka:
The Lannion report on Big Data and Security Monitoring Research. 2960-2969 - Radovan Haluska, Jan Brabec, Tomás Komárek:
Benchmark of Data Preprocessing Methods for Imbalanced Classification. 2970-2979 - Chansu Han, Akira Tanaka, Takeshi Takahashi:
Darknet Analysis-Based Early Detection Framework for Malware Activity: Issue and Potential Extension. 2980-2988 - Alexis J. Jackson, Krishnendu Ghosh:
Unsupervised Learning Approaches for Construction of Malware Families. 2989-2996 - Ismael Villanueva-Miranda, Monika Akbar:
Detecting Malware Activity Using Public Search Data. 2997-3006 - Samuel Ndichu, Tao Ban, Takeshi Takahashi, Daisuke Inoue:
Critical-Threat-Alert Detection using Online Machine Learning. 3007-3014 - Yuki Yada, Jiaying Feng, Tsuneo Matsumoto, Nao Fukushima, Fuyuko Kido, Hayato Yamana:
Dark patterns in e-commerce: a dataset and its baseline evaluations. 3015-3022 - Guru Prasad Bhandari, Andreas Lyth, Andrii Shalaginov, Tor-Morten Grønli:
Artificial Intelligence Enabled Middleware for Distributed Cyberattacks Detection in IoT-based Smart Environments. 3023-3032 - Abhimanyu Bhowmik, Madhushree Sannigrahi, Deepraj Chowdhury, Ashutosh Dhar Dwivedi, Raghava Rao Mukkamala:
DBNex: Deep Belief Network and Explainable AI based Financial Fraud Detection. 3033-3042 - Nathan Deguara, Junaid Arshad, Anum Paracha, Muhammad Ajmal Azad:
Threat Miner - A Text Analysis Engine for Threat Identification Using Dark Web Data. 3043-3052 - Damilola Oladimeji, Bing Zhou:
Forensic Analysis of Amazon Alexa Echo Dot 4th Generation. 3053-3062 - Jiabao Qiu, Nihar Hegde, Melody Moh, Teng-Sheng Moh:
Investigating User Information and Social Media Features in Cyberbullying Detection. 3063-3070 - Giuseppe Raffa, Daniele Sgandurra, Daniel O'Keeffe:
Evaluating Anti-Virus Effectiveness in Linux. 3071-3080 - Jonas Schnepf, Paula Vetter, Tarik Temel, Bernd Scheuermann, Lars Schmidt-Thieme:
On the Potential of Using ERP Business and System Data for Fraud Detection. 3081-3091 - Richard Searle, Prabhanjan Gururaj, Anubhav Gupta, Kiran Kannur:
Secure Implementation of Artificial Intelligence Applications for Anti-Money Laundering using Confidential Computing. 3092-3098 - Inna Skarga-Bandurova, Igor Kotsiuba, Tetiana Biloborodova:
Cyber Security of Electric Vehicle Charging Infrastructure: Open Issues and Recommendations. 3099-3106 - Mingjun Gu, Wenqian Cui, Xiangling Fu:
BioSentEval: An Evaluation Toolkit for Chinese Medical Sentence Representation. 3107-3111 - Zibo Ma, Bo Zhang, Zheng Zhang, Wendong Wang, Yue Mi, Haiwen Huang, Jingyun Wu:
ACL-Net: Adaptive and Collaborative Learning Network for Multi-Site Prostate MRI Segmentation. 3112-3117 - Duong Hong Nguyen, Iwao Fujino:
Improving the performance of disease detection from chest X-ray images using deep learning. 3118-3123 - Jamal Saied-Walker, Pallavi Gupta, Ruhan Yi, Noah Marchal, Marjorie Skubic, Grant J. Scott:
Enabling Scalable Analytics of Physiological Sensor and Derived Feature Multi-Modal Time-Series with Big Data Management. 3124-3130 - Tianren Yang, Mai A. Al-Duailij, Serdar Bozdag, Fahad Saeed:
Classification of Autism Spectrum Disorder Using rs-fMRI data and Graph Convolutional Networks. 3131-3138 - Jiaxi Chen, Aekyeung Moon, Seung Woo Son:
Towards Guaranteeing Error Bound in DCT-based Lossy Compression. 3139-3145 - Max H. Faykus, Bradley Selee, Jon C. Calhoun, Melissa C. Smith:
Lossy Compression to Reduce Latency of Local Image Transfer for Autonomous Off-Road Perception Systems. 3146-3152 - Megan Hickman Fulp, Dakota Fulp, Jon C. Calhoun:
Estimating Potential Error in Sampling Interpolation. 3153-3162 - Taku Moriyama, Mio Hosoe, Masashi Kuwano, Yuka Minamino:
Extraction of Power Consumption Patterns using Non-negative Tucker Decomposition. 3163-3171 - Ruiwen Shan, Jon C. Calhoun:
Exploring Data Corruption Inside SZ. 3172-3178 - Seshu Tirupathi, Dhaval Salwala, Giulio Zizzo, Ambrish Rawat, Mark Purcell, Søren Kejser Jensen, Christian Thomsen, Nguyen Ho, Carlos E. Muñiz-Cuza, Jonas Brusokas, Torben Bach Pedersen, Giorgos Alexiou, Giorgos Giannopoulos, Panagiotis Gidarakos, Alexandros Kalimeris, Stavros Maroulis, George Papastefanatos, Ioannis Psarros, Vassilis Stamatopoulos, Manolis Terrovitis:
Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data. 3179-3185 - Patrick Cato:
A Simple Approach to Optimize S3 Object Gateways for Massive Numbers of Small File Writes. 3186-3190 - Inwon Kang, Aparna Gupta, Oshani Seneviratne:
Blockchain Interoperability Landscape. 3191-3200 - Andrew Kirillov, Abrar Rahman, Ayush Aggarwal:
Rental NFT Protocol With Advanced Rewards Splitting. 3201-3206 - Jieying Liu, Guojun Han, Hanxu Hou:
Some Results on Optimal Octonion-Field Locally Repairable Codes of Distance 3 and 4. 3207-3214 - Zhenwei Xiao, Hui Li, Han Wang, Guoliang Yang, Qiongwei Ye, Shusheng Zou, Ping Lu, Qi Lyu:
Optimizing Parallel Proof of Vote Consensus Based on Mimic Security in Consortium Blockchains. 3215-3224 - Yao Yao, Hui Li, Xin Yang, Yiwang Le:
An Improved Vulnerability Detection System of Smart Contracts Based on Symbolic Execution. 3225-3234 - Lu Zhong, Guojun Han, Hanxu Hou, Qinda Hai:
Optimizing Repair-Cost of Locally Repairable Codes for Hot Data in Cluster Storage Systems. 3235-3241 - Lin Zou, Hanxu Hou, Xiaoan Zhou:
Systematic MDS Array Codes Correcting a Single Criss-Cross Error with Lower Update Complexity. 3242-3249 - Masanori Fujita, Ayato Kitadai, Koichi Sumikura, Nariaki Nishino:
Toward the Utilization of Artificial Intelligence in Life Sciences: A Voluntary Medical Data Provisioning Model. 3250-3257 - Yutaka Ishibashi, Eizo Akiyama:
Predicting the Impact of Shared Autonomous Vehicles on Tokyo Transportation Using MATSim. 3258-3265 - Wataru Ishida, Yusuke Iwase:
Compatibility of efficiency and stability in priority-augmented object allocation problems with weak priorities. 3266-3272 - Yoichi Izunaga, Satoshi Takahashi, Naoki Watanabe:
A Subject Experiment of an Approximate DGS Algorithm: Price Increment, Allocative Efficiency, and Seller's Revenue. 3273-3280 - Kengo Kurosaka, Naoki Onodera:
Land Consolidation by Plot Exchange. 3281-3287 - Toshihiko Nanba, Kazuhito Ogawa, Naoki Watanabe, Teruaki Hayashi, Hiroki Sakaji:
A Model of Pricing Data and Their Constituent Variables Traded in Two-Sided Markets with Resale: A Subject Experiment. 3288-3294 - Kazuhito Ogawa, Naoki Watanabe:
Feedback Information on Cumulative Payoff in a Bandit Experiment: Meaningful Learning in Weighted Voting. 3295-3299 - Yumi Watahiki, Hiroyasu Ando, Isamu Takahara:
Network formation of next generation electric power and mobility in rural area. 3300-3307 - Dilan Bakir, Mehmet S. Aktas:
A Business Workflow For Providing Open-Domain Question Answering Reader Systems on The Wikipedia Dataset. 3308-3314 - Jason B. Gillette, Sayed Khushal Shah, Zeenat Tariq, Shabbab Algamdi:
Data protections for minors with named entity recognition. 3315-3323 - Josh Levy, Fusheng Wei, Jingchao Yang, Adam Dabrowski:
An Application of Object Detection in Contract Analysis. 3324-3328 - Jui-Ching Tsou, Kai-Yu Hsieh, Chen-Hua Huang, Yu-An Shih, Han-Cheng Yu, Yao-Chung Fan:
Extracting Crime Prosecution Elements based on Neural Machine Reading Comprehension Model. 3329-3335 - Fusheng Wei, Jingchao Yang, Qiang Mao, Han Qin, Adam Dabrowski:
An Empirical Comparison of DistilBERT, Longformer and Logistic Regression for Predictive Coding. 3336-3340 - Maroua Bahri:
Effective Weighted k-Nearest Neighbors for Dynamic Data Streams. 3341-3347 - Nabil Belacel, René Richard, Zhicheng Max Xu:
An LSTM Encoder-Decoder Approach for Unsupervised Online Anomaly Detection in Machine Learning Packages for Streaming Data. 3348-3357 - Martin Khannouz, Tristan Glatard:
Dynamic Ensemble Size Adjustment for Memory Constrained Mondrian Forest. 3358-3363 - Lorena Poenaru-Olaru, Luis Cruz, Arie van Deursen, Jan S. Rellermeyer:
Are Concept Drift Detectors Reliable Alarming Systems? - A Comparative Study. 3364-3373 - Takdir, Hiroyuki Kitagawa, Toshiyuki Amagasa:
Region-based Sub-Snapshot (RegSnap): Enhanced Fault Tolerance in Distributed Stream Processing with Partial Snapshot. 3374-3382 - Shivani Tomar, Seshu Tirupathi, Dhaval Vinodbhai Salwala, Ivana Dusparic, Elizabeth Daly:
Prequential Model Selection for Time Series Forecasting based on Saliency Maps. 3383-3392 - Folami Alamudun, Jacob D. Hinkle, Sajal Dash, Benjamín Hernández, Aristeidis Tsaris, Hong-Jun Yoon:
Distilling Knowledge from Ensembles of Cluster-Constrained-Attention Multiple-Instance Learners for Whole Slide Image Classification. 3393-3397 - Melissa R. Allen-Dumas, Sangkeun Lee, Supriya Chinthavali:
Analysis of Correlation between Cold Weather Meteorological Variables and Electricity Outages. 3398-3401 - Rick Archibald, Mark R. Cianciosa, Cornwall Lau:
Improving Predictions Under Uncertainty of Material Plasma Device Operations. 3402-3407 - Mark R. Cianciosa, Richard Archibald, Wael R. Elwasif, Ana Gainaru, Jin Myung Park, Ross Whitfield:
Adaptive Generation of Training Data for ML Reduced Model Creation. 3408-3416 - António Correia, Siân Lindley:
Collaboration in relation to Human-AI Systems: Status, Trends, and Impact. 3417-3422 - Hasan M. Jamil, Lan Li, Amin Mirkouei:
MatFlow: A System for Knowledge-based Novel Materials Design using Machine Learning. 3423-3431 - Ketan Maheshwari, Sean R. Wilkinson, Alex May, Tyler J. Skluzacek, Olga A. Kuchar, Rafael Ferreira da Silva:
Pseudonymization at Scale: OLCF's Summit Usage Data Case Study. 3432-3440 - Byung H. Park, Sangkeun Lee, Özgür Özmen, Mohit Kumar, Merry Ward, Jonathan R. Nebeker:
Real-time Multi-granular Analytics Framework for HIT Systems. 3441-3446 - Akihiro Tanabe, Yasuko Matsubara, Yasushi Sakurai:
Partial Discharge Detection for Underground Transmission Lines Using Nonnegative Matrix Factorization. 3447-3454 - Yupei Zhang, Shuangshuang Wei, Yifei Wang, Yunan Xu, Yuxin Li, Xuequn Shang:
A Personalized Federated Learning Framework Using Side Information for Heterogeneous Data Classification. 3455-3461 - Shubhi Asthana, Ruchi Mahindru:
Integrated Data Mapping Engine (DaME) for Financial Services. 3462-3471 - Hannah Béchara, Ran Zhang, Shuzhou Yuan, Slava Jankin:
Applying NLP Techniques to Classify Businesses by their International Standard Industrial Classification (ISIC) Code. 3472-3477 - Andrea Belz, Alexandra Graddy-Reed, F. N. U. Shweta, Aleksandar Giga, Shivesh Meenakshi Murali:
Patentopia: A multi-stage patent extraction platform with disambiguation for certain semantic challenges. 3478-3485 - Matthew Caron:
Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift. 3486-3495 - Carmina Fjellström:
Long Short-Term Memory Neural Network for Financial Time Series. 3496-3504 - Xurui Li, Kaiyuan Liu, Rui Zhu, Yangyang Kang, Changlong Sun, Kaisong Song, Xiaozhong Liu:
Hierarchical Multi-task Learning for Enterprise Risk Detection from Financial Documents. 3505-3508 - Quanzhi Li, Yang Chao, Dong Li, Yao Lu, Chi Zhang:
Event Detection from Social Media Stream: Methods, Datasets and Opportunities. 3509-3516 - Yingchi Liu, Quanzhi Li, Xiaozhong Liu:
Rating Patent by Exploiting Semantic and Novelty Information. 3517-3523 - Priya Mehta, Sandeep Kumar, Ravi Kumar, Ch. Sobhan Babu:
Enhancement to Training of Bidirectional GAN : An Approach to Demystify Tax Fraud. 3524-3531 - Stefan Pasch, Daniel Ehnes:
NLP for Responsible Finance: Fine-Tuning Transformer-Based Models for ESG. 3532-3536 - Iromie K. Samarasekara, Oshan K. Mendis, Sapumal Ahangama, Ajantha S. Atukorale:
Dynamic Stop-Loss Approach for Short Term Trades using Deep Learning. 3537-3546 - Naman Srivastava, Omkar Gowda, Shreyas Bulbule, Siddharth Bhandari, Animesh Chaturvedi:
Bitcoin Evolution Analytics: Twitter Sentiments to Predict Price Change as Bearish or Bullish. 3547-3556 - Hiroshi Sugeno, Aki-Hiro Sato:
Relationship between environmental management efforts and corporate performance. 3557-3566 - Senyuan Zheng, Vincent C. S. Lee, Zhaolin Guan:
SFPAD: Sentiment-driven Firm Pricing Anomaly Detection Algorithm and Application. 3567-3576 - Lulwah Alkulaib, Lei Zhang, Yanshen Sun, Chang-Tien Lu:
Twitter Bot Identification: An Anomaly Detection Approach. 3577-3585 - Mohamed Alae-Eddine Eladlani, Said Si Kaddour, Larbi Boubchir, Boubaker Daachi:
On the Use of Convolutional Neural Networks for Palm Vein Recognition. 3586-3592 - Shun-Wen Hsiao, Cheng-Yuan Sun:
Attention-Aware Multi-modal RNN for Deception Detection. 3593-3596 - Yichen Jiang, Michael D. Porter:
Simulating Fake News Dissemination on Twitter with Multivariate Hawkes Processes. 3597-3606 - Jamshed Kaikaus, Jessen L. Hobson, Robert J. Brunner:
Truth or Fiction: Multimodal Learning Applied to Earnings Calls. 3607-3612 - Mohammad Kohankhaki, Ahmad Ayad, Mahdi Barhoush, Bastian Leibe, Anke Schmeink:
Radiopaths: Deep Multimodal Analysis on Chest Radiographs. 3613-3621 - Callie C. Liao, Duoduo Liao, Jesse Guessford:
Multimodal Lyrics-Rhythm Matching. 3622-3630 - Injin Paek, Nayoung Choi, Seongjin Ha, Yuheun Kim, Min Song:
SQ2SV: Sequential Queries to Sequential Videos retrieval. 3631-3634 - Thomas Pouplin, Hughes Perreault, Benoit Debaque, Marc-Antoine Drouin, Nicolas Duclos-Hindie, Sébastien Roy:
Multimodal Deep Homography Estimation Using a Domain Adaptation Generative Adversarial Network. 3635-3641 - Xianglong Xiao, Hongguang Xu, Ke Xu:
EBEM: An Enhanced Bi-encoder Model for Word Sense Disambiguation. 3642-3650 - Yuan An, Jane Greenberg, Xiaohua Hu, Alexander Kalinowski, Xiao Fang, Xintong Zhao, Scott McClellan, Fernando J. Uribe-Romo, Kyle Langlois, Jacob Furst, Diego A. Gómez-Gualdrón, Fernando Fajardo-Rojas, Katherine Ardila, Semion Saikin, Corey A. Harper, Ron Daniel Jr.:
Exploring Pre-Trained Language Models to Build Knowledge Graph for Metal-Organic Frameworks (MOFs). 3651-3658 - Miyu Fujii, David Taingngin, Keiichiro Yamamura, Nozomi Hata, Hiroki Kai, Ryuji Noda, Hiroki Ishikura, Tatsuru Higurashi, Katsuki Fujisawa:
Development and Evaluation of Embedding Methods for Graphs with Multi Attributes. 3659-3667 - Ted Edward Holmberg, Elias Ioup, Mahdi Abdelguerfi:
A Stochastic Geo-spatiotemporal Bipartite Network to Optimize GCOOS Sensor Placement Strategies. 3668-3674 - Sukhwan Jung, Aviv Segev:
Optimizing the Descendant-Aware Clustering Parameters. 3675-3683 - Phuc Nguyen, Hideaki Takeda:
Wikidata-lite for Knowledge Extraction and Exploration. 3684-3686 - Runyu Ni, Hiroki Shibata, Yasufumi Takama:
Learning Framework of Entity and Entity Type Composition Representation for Knowledge Graph Completion. 3687-3691 - Kara Schatz, Daniel Korn, Alexander Tropsha, Rada Chirkova:
Workflow for Domain- and Task-Sensitive Curation of Knowledge Graphs, with Use Case of DRKG. 3692-3701 - Yuanzhuo Li:
Ripl: Document-Level Event Argument Extraction via Role-aware Interactive Pointer Labeling Network. 3702-3707 - Min Zhang, Song Peng, Hao Yang, Yanqing Zhao, Xiaosong Qiao, Junhao Zhu, Shimin Tao, Ying Qin, Yanfei Jiang:
EntityRank: Unsupervised Mining of Bilingual Named Entity Pairs from Parallel Corpora for Neural Machine Translation. 3708-3713 - Jonathan Bader, Nicolas Zunker, Soeren Becker, Odej Kao:
Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows. 3714-3719 - Roberto Corizzo, Terry Slenn:
Distributed Node Classification with Graph Attention Networks. 3720-3725 - Haochuan Cui, Junjie Sheng, Bo Jin, Yiqiu Hu, Li Su, Lei Zhu, Wenli Zhou, Xiangfeng Wang:
ReAssigner: A Plug-and-Play Virtual Machine Scheduling Intensifier for Heterogeneous Requests. 3726-3734 - Wei Dai, Daniel Berleant:
Discovering Limitations of Image Quality Assessments with Noised Deep Learning Image Sets. 3735-3744 - Manele Aït Habouche, Mickaël Kerboeuf, Goulven Guillou, Jean-Philippe Babau:
FaST: An Efficient Framework For Visualizing Large-Scale Time Series. 3745-3754 - Chien-Kang Huang, Guojhen Liou:
Text Spotting in Natural Scenes Based on Feature Pyramid Neural Network. 3755-3762 - Jing Li, Pengbo Lv, Huijun Li, Wanghu Chen:
Outlier Detection Based on Stacked Autoencoder and Gaussian Mixture Model. 3763-3769 - Yan Liang, Christan Grant:
TAED: Topic-Aware Event Detection. 3770-3779 - Mehnaz Tabassum Mahin, Bo-Chun Wang, Kamini Jagtiani, Michael Carey, Keshav Murthy:
CH3: A Mixed Workload Benchmark for Scalable NoSQL. 3780-3789 - Varun Mannam:
Low-Energy Convolutional Neural Networks (CNNs) using Hadamard Method. 3790-3795 - Bing Ni, Brandon Wu:
Usage-Based Decision Tree for Telco Churn Prediction. 3796-3805 - Simon Frederic Dietlmeier, Rob Jago Floetgen, Julius Bock, Florian Urmetzer:
IoT for Rail Transportation: The Case of Railigent. 3806-3813 - John M. Easton:
Digitalization and the Transport Industry - Are we Ready? 3814-3820 - Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila:
Analysis of Airfare during Pandemic: A Multi-Agent Based Modeling Approach. 3821-3830 - Ivens Portugal, Paulo Alencar, Donald D. Cowan:
A Graph-based Analysis Approach to Cluster Lifetime Dynamics. 3831-3837 - Joseph D. Preece, Christopher Morris, John M. Easton:
Towards STUB 2.0: Using Graph-Based World States in Hyperledger Besu to Facilitate Distributed Transport Ticketing. 3838-3844 - Namsik Yoon, Innjun Choi, Sung Woo Kang:
Analysis of route efficiency in city bus transportation vulnerable areas. 3845-3853 - Aayush Tewari, Yanbo Pang, Yoshihide Sekimoto:
Uncertainty of Traffic Congestion Estimation Using Nationwide Pseudo Trip Data and Agent-Based Simulation. 3854-3863 - Georgios Drakopoulos, Phivos Mylonas:
A Genetic Algorithm For Boolean Semiring Matrix Factorization With Applications To Graph Mining. 3864-3870 - Andreas Kanavos, Gerasimos Vonitsanos, Phivos Mylonas:
Clustering High-Dimensional Social Media Datasets sutilizing Graph Mining. 3871-3880 - Christos N. Karras, Aristeidis Karras, Dimitrios Tsolis, Markos Avlonitis, Spyros Sioutas:
A Hybrid Ensemble Deep Learning Approach for Emotion Classification. 3881-3890 - Konstantinos Lazaros, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos:
Feature Selection For High Dimensional Data Using Supervised Machine Learning Techniques. 3891-3894 - M. M. Mahabubur Rahman, Jelena Tesic:
Hybrid Approximate Nearest Neighbor Indexing and Search (HANNIS) for Large Descriptor Databases. 3895-3902 - Ali Sekmen, Bahadir Bilgin:
Manifold Curvature Estimation for Neural Networks. 3903-3908 - Jing Ao, Rada Chirkova:
KGIQ: Scalable Translation of User-Specified Examples into Knowledge-Graph Queries. 3909-3918 - Uzair Javaid, Zhen Li, Muhammad Naveed Aman, Dongxu Shao, Kevin Yee, Biplab Sikdar:
Blockchain based Secure Group Data Collaboration in Cloud with Differentially Private Synthetic Data and Trusted Execution Environment. 3919-3927 - Hao Jiang, Jingying Zhou, Allan Stewart, Haixun Wang:
A Short Survey on the User Cold Start Problem in Recommender Systems: Metadata and Meta-Learning Methods. 3928-3934 - Rabindra Lamsal, Aaron Harwood, Maria Rodriguez Read:
Where did you tweet from? Inferring the origin locations of tweets based on contextual information. 3935-3944 - Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Prospect-Net: Top-K Retrieval Problem Using Prospect Theory. 3945-3951 - Glaucia Melo dos Santos, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Understanding Levels of Automation in Human-Machine Collaboration. 3952-3958 - Anifat M. Olawoyin, Carson K. Leung:
Preserving Privacy Integration and Mining for Big Temporal Co-occurrence Patterns. 3959-3968 - Prince Paulraj, Elijah Hall, Ana Armenta, Mark Austin:
Posteriori Trust: Behavior Driven Trust on a Network Graph at Scale. 3969-3974 - Adel Ardalan, Derek Paulsen, Amanpreet Singh Saini, Walter Cai, AnHai Doan:
Toward Data Cleaning with a Target Accuracy: A Case Study for Value Normalization. 3975-3981 - Bijoly Saha Bhattacharya, Biswajit Mandal, Arindam Biswas, Malay Bhattacharyya:
Improving Character Recognition by the Crowd Workers via Corrective Feedback. 3982-3985 - Katia Bourahmoune, Karlos Ishac, Marc Carmichael, Toshiyuki Amagasa:
Owro: A Novel Robot For Sitting Posture Training Based On Adaptive Human Robot Interaction. 3986-3991 - Ryuya Itano, Tomoya Nohara, Takahiro Koita:
Crowd-Aided Anomaly Detection in Surveillance Videos. 3992-3994 - Tomoya Kanda, Hiroyoshi Ito, Atsuyuki Morishima:
Efficient Evaluation of AI Workers for the Human+AI Crowd Task Assignment. 3995-4001 - Nailcan Kara, Yagiz Levent Gume, Umit Tigrak, Gokce Ezeroglu, Serdar Mola, Omer Burak Akgun, Arzucan Özgür:
A SHAP-based Active Learning Approach for Creating High-Quality Training Data. 4002-4008 - Seungun Kim, Masaki Matsubara, Atsuyuki Morishima:
Image Geolocation by Non-Expert Crowd Workers with an Expert Strategy. 4009-4013 - Kristina L. Kupferschmidt, Joshua August Gus Skorburg, Graham W. Taylor:
DelphAI: A human-centered approach to time-series forecasting. 4014-4020 - Xiao Liu, Alan F. Smeaton, Alessandra Mileo:
An adaptive human-in-the-loop approach to emission detection of Additive Manufacturing processes and active learning with computer vision. 4021-4027 - Kaname Muto, Satoshi Oyama, Itsuki Noda:
Explainable Recommendation Using Knowledge Graphs and Random Walks. 4028-4023 - Kazumu Nakahira, Shun Kuroiwa, Takahiro Koita:
Multispeaker Identification System using Crowdsourcing-based Method. 4033-4034 - Hiroaki Tanaka, Yuuma Jitsunari, Wataru Yamada, Keiichi Ochiai, Shoko Wakamiya, Eiji Aramaki:
Graph Neural Network Tells Us Who is the Communication Enhancer. 4035-4039 - Yunyi Xiao, Yu Yamashita, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima:
Multi-Armed Bandit Approach to Qualification Task Assignment across Multi Crowdsourcing Platforms. 4040-4048 - Ryo Yanagisawa, Susumu Saito, Teppei Nakano, Tetsunori Kobayashi, Tetsuji Ogawa:
PostMe: Unsupervised Dynamic Microtask Posting For Efficient and Reliable Crowdsourcing. 4049-4054 - Fares Belkhiria, Jian-Yun Nie, Catherine Paquet, Raja Sengupta, Antonia Gieschen, Byomkesh Talukder, Shawn Brown, Laurette Dubé:
Using Big Data and Machine Learning for Multilayered Surveillance for Healthy Food Environment and Diet. 4055-4064 - Gjorgjina Cenikj, Gasper Petelin, Barbara Korousic-Seljak, Tome Eftimov:
SciFoodNER: Food Named Entity Recognition for Scientific Text. 4065-4073 - Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak:
Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets. 4074-4083 - Gavin Long, John Harvey, Gavin Smith, Georgiana Nica-Avram, Gregor Engelmann, James Goulding:
Privacy-preserving & machine-learned catchment models for national dietary surveillance via digital footprint data. 4084-4087 - Cameron McRae, Jian-Yun Nie, Laurette Dubé:
Heterogeneity in feature importance and prediction performance for sales at the market and store levels: the case of branded yogurt products in Quebec. 4088-4096 - Viktorija Mijalcheva, Ana Davcheva, Sasho Gramatikov, Milos Jovanovik, Dimitar Trajanov, Riste Stojanov:
Learning Robust Food Ontology Alignment. 4097-4104 - Georgiana Nica-Avram, Vanja Ljevar, John Harvey, Ines Branco-Illodo, Samanthika Gallage, James Goulding:
Ill-fated interactions: modeling complaints on a food waste fighting platform. 4105-4109 - Andrew Dybka, Dominic Kocjan, Samuel A. Ajila:
A Semisupervised Approach to Predicting a Twitch Streamer's Growth based on the Game Streamed. 4110-4119 - Michael Fan, Omar Imran, Arka Singh, Samuel A. Ajila:
Using CNN-LSTM Model for Weather Forecasting. 4120-4125 - Makoto Fujii:
Comparison of Consensus Building Processes by Different Reach Patterns on Opinion Dynamics. 4126-4132 - Yunosuke Hori:
Influence of a leader and in-group pressure in opinion dynamics model. 4133-4139 - Jingmin Huang, Bowei Chen, Lan Luo, Shigang Yue, Iadh Ounis:
DVM-CAR: A Large-Scale Automotive Dataset for Visual Marketing Research and Applications. 4140-4147 - Abhishek Kumar, Aviv Segev:
Bayesian Ensembled Knowledge Extraction Strategy for Online Portfolio Selection. 4148-4156 - Takamichi Toda, Daisuke Moriwaki, Kazuhiro Ota:
Aggregate Learning for Mixed Frequency Data. 4157-4165 - Xin Yang, Tetsuya Tsuboi, Keisuke Kimura, Keitarou Hangai, Maiko Shigeno:
Restaurant Sales Forecasting with Feature Interaction-learning Mechanism-based Neural Network Model. 4166-4172 - Ge Cui, Wei Wang, Hao Zhang:
MS2A: A Multi-Scale Spatial Aggregation Framework for Visual Place Recognition. 4173-4180 - Shenlu Liu, Kangliang Liu:
ADIU:An Antiquarian Document Image Unwarping Dataset. 4181-4186 - Tianlong Ma, Xiangcheng Du, Yanlong Wang, Xiutao Cui:
Scene Text Recognition with Heuristic Local Attention. 4187-4194 - Ziheng Sun, Haochen Ye, Kangliang Liu:
EFD: A New Benchmark for Load Identification and Energy Disaggregation. 4195-4200 - Yuewang Xu, Li Zhao, Shaoli Cao, Shijie Feng:
Dual Priors Network for RGB-D Salient Object Detection. 4201-4209 - Zian Ye, Chaoqun Hong, Zhiqiang Zeng, Weiwei Zhuang:
Self-Supervised Person Re-Identification with Channel-Wise Transformer. 4210-4217 - Yupei Zhang, Yunan Xu, Shuangshuang Wei, Yifei Wang, Yuxin Li, Xuequn Shang:
Personalized Federated Contrastive Learning. 4218-4225 - Huda Ali Alatwi, Charles Morisset:
Threat Modeling for Machine Learning-Based Network Intrusion Detection Systems. 4226-4235 - Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam:
Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector. 4236-4245 - Caitlin Brown, Charles Morisset:
Simple and Efficient Identification of Personally Identifiable Information on a Public Website. 4246-4255 - Yao Chen, Yijie Gui, Hong Lin, Wensheng Gan, Yongdong Wu:
Federated Learning Attacks and Defenses: A Survey. 4256-4265 - Chiao-Cheng Huang, Pei-Yu Huang, Ying-Ren Kuo, Guo-Wei Wong, Yi-Ting Huang, Yeali S. Sun, Meng Chang Chen:
Building Cybersecurity Ontology for Understanding and Reasoning Adversary Tactics and Techniques. 4266-4274 - Mary Isangediok, Kelum Gajamannage:
Fraud Detection Using Optimized Machine Learning Tools Under Imbalance Classes. 4275-4284 - Max Landauer, Florian Skopik, Georg Höld, Markus Wurzenberger:
A User and Entity Behavior Analytics Log Data Set for Anomaly Detection in Cloud Computing. 4285-4294 - Derek Lin:
MATE: Summarizing Alerts to Interpretable Outcomes with MITRE ATT&CK. 4295-4302 - Thamizhiniyan Pugazhenthi, Huizhi Liang:
Improving Conversational Recommender Systems via Knowledge Graph-based Semantic Fusion with Historical Interaction Data. 4303-4312 - Yue Su, Botao Peng, Xiaodong Li:
Fast Illegal Webpage Detection Algorithm Based on Massive Domain Name Resolution Records. 4313-4322 - Yu-Hsuan Wu, Sheng-Wei Huang, Wei-Yi Chung, Chen-Chia Yu, Jheng-Long Wu:
Factor Detection Task of Cyberbullying Using the Deep Learning Model. 4323-4329 - Wenshan Zhang, Xi Zhang:
Cross-Lingual Propaganda Detection. 4330-4336 - Sikder Tahsin Al-Amin, Robin Varghese, David Lloyd, Maria A. Gonzalez-Gonzalez, Mario I. Romero-Ortega, Carlos Ordonez:
Discovering Similar Spike Patterns in High Dimensional Biomedical Signals. 4337-4345 - Michael Luke Battle, Amir Atapour-Abarghouei, Andrew Stephen McGough:
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets. 4346-4355 - Wenbin Gan, Minh-Son Dao, Koji Zettsu:
Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs. 4356-4364 - Xinchen Hao, Renhe Jiang, Jiewen Deng, Xuan Song:
The Impact of COVID-19 on Human Mobility: A Case Study on New York. 4365-4374 - Atif Khan, Conor Lawless, Amy E. Vincent, Satish Pilla, Sushanth Ramesh, A. Stephen McGough:
Explainable Deep Learning to Profile Mitochondrial Disease Using High Dimensional Protein Expression Data. 4375-4384 - Michelle YoungJin Kim, Junghwan Kim, Bryan Woosung Kim, Kristen Marie Johnson, Jee-In Kim:
ASDCLAIMS: Twitter Dataset of Claims on Autism Spectrum Disorder. 4385-4389 - Ron Kremer, Syed Mohib Raza, Fabiola Eto, John Casement, Christian Atallah, Sarah Finer, Dennis Lendrem, Michael Barnes, Nick J. Reynolds, Paolo Missier:
Tracking trajectories of multiple long-term conditions using dynamic patient-cluster associations. 4390-4399 - Francesco Mercaldo, Fabio Martinelli, Antonella Santone, Mario Cesarelli:
Blood Cells Counting and Localisation through Deep Learning Object Detection. 4400-4409 - Menglin Niu, Larbi Boubchir, Boubaker Daachi:
On the Use of Conventional Neural Networks for COVID-19 Detection in CT-Scan Images: A Comparative Study and Performance Analysis. 4410-4415 - Carlos Ordonez, Ian Fund, Ladjel Bellatreche:
Comparing Association Rules and Deep Neural Networks for Heart Disease Prediction. 4416-4424 - Daniele Perlo, Luca Berton, Alessia Delpiano, Francesca Menchini, Stefano Tibaldi, Marco Grosso, Paolo Fonio:
Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification. 4425-4433 - Yoriyuki Yamagata, Shunki Takami, Keisuke Yamazaki, Tomoki Nakaya, Masaki Onishi:
Individual-based epidemiological model of COVID19 using location data. 4434-4442 - Hangu Yeo, Elahe Khorasani, Vadim Sheinin, Irene Manotas, Ngoc Phuoc An Vo, Octavian Popescu, Petros Zerfos:
Natural Language Interface for Process Mining Queries in Healthcare. 4443-4452 - Tianyi Zhang, Shirui Zhang, Ziwei Chen, Yoshua Bengio, Dianbo Liu:
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records. 4453-4462 - Ayoub Bouhatous, Ladjel Bellatreche, El Hassan Abdelwahed, Carlos Ordonez:
The Impact of Multicore CPUs on Eco-Friendly Query Processors in Big Data Warehouses. 4463-4472 - Florian Chauvet, Ladjel Bellatreche, Carlos Augusto Santos Silva:
AI Approaches for Electricity Price Forecasting in Stable/Unstable Markets: EU Improvement Project. 4473-4482 - Wanghu Chen, Pengbo Lv, Jing Li, Xiao Ma:
Pavement Condition Detection Method Based on Time-Frequency Features and Capsule Neural Network. 4483-4490 - Yi-Hao Hsiao, Chia-Yi Chuang, Megn-Chi Huang, Chia-Lee Yang, Jyh-Horng Wu:
Using Contextual Text Mining and Ontology Methods to Establish a Novel Technology Trend and Associative Analysis Framework for Sustainable Energy Development in Taiwan. 4491-4494 - Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw:
Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning. 4495-4502 - Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw:
A systematic literature review on machine learning for electricity market agent-based models. 4503-4512 - Katherine A. Kiernan, Hao Wu, Raymond Mugno, Yulei Pang:
Application of Time Series Analysis Methods to Assess the impact of COVID-19 on Carbon Dioxide Emission Reduction in Connecticut. 4513-4519 - Min Gyeong Kim, Kyu Sung Kim, Kun Chang Lee:
Analyzing the Effects of Topics Underlying Companies' Financial Disclosures about Risk Factors on Prediction of ESG Risk Ratings: Emphasis on BERTopic. 4520-4527 - Emily R. Lines, Matt Allen, Carlos Cabo, Kim Calders, Amandine Debus, Stuart W. D. Grieve, Milto Miltiadou, Adam Noach, Harry J. F. Owen, Stefano Puliti:
AI applications in forest monitoring need remote sensing benchmark datasets. 4528-4533 - Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Smart Grid monitoring through Deep Learning for Image-based Automatic Dial Meter Reading. 4534-4542 - Du Nguyen, Vung Pham:
RaCAViz: Interactive Visualizations for Rapid Carbon Assessment. 4543-4550 - Matthew L. Thomas, Gavin Shaddick, David Topping, Karyn Morrissey, Thomas J. Brannan, Mike Diessner, Ruth C. E. Bowyer, Stefan Siegert, Hugh Coe, James Evans, Fernando Benitez-Paez, James V. Zidek:
A Data Integration Approach to Estimating Personal Exposures to Air Pollution. 4551-4559 - Edvin Listo Zec, Olof Mogren, Ann-Charlotte Mellquist, Sarah Fallahi, Peter Algurén:
Residual value prediction using deep learning. 4560-4567 - Emrullah Gultekin, Mehmet S. Aktas:
A Business Workflow Architecture for Predictive Maintenance using Real-Time Anomaly Prediction On Streaming IoT Data. 4568-4575 - Aekyeung Moon, Seung Woo Son, Hyson Kim, Minjun Kim:
Lossy Predictive Models for Accurate Classification Algorithms. 4576-4582 - Dominik Scheinert, Babak Sistani Zadeh Aghdam, Soeren Becker, Odej Kao, Lauritz Thamsen:
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. 4583-4588 - Amal Tawakuli, Thomas Engel:
Towards Normalizing The Design Phase of Data Preprocessing Pipelines For IoT Data. 4589-4594 - Massimiliano Altieri, Roberto Corizzo, Michelangelo Ceci:
Scalable Forecasting in Sensor Networks with Graph Convolutional LSTM Models. 4595-4600 - Valerio Bellandi, Stefano Siccardi:
Data Fusion and Graph Analysis in Fraud Transaction Detection: walkthrough of a case study. 4601-4605 - Lilith Orion Hafner, Chase Holdener, Nicole Eikmeier:
Functional Ball Dropping: A superfast hypergraph generation scheme. 4606-4615 - Yan Hong, Munehiro Fukuda:
Pipelining Graph Construction and Agent-based Computation over Distributed Memory. 4616-4624 - Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov:
Node Context Selection in Transformer-Based Graph Representation Learning Models. 4625-4634 - Lifan Yu, Nadya Abdel Madjid, Djellel Eddine Difallah:
CrunchQA: A Synthetic Dataset for Question Answering over Crunchbase Knowledge Graph. 4635-4641 - Chiara Accinelli, Barbara Catania, Giovanna Guerrini:
Nondiscriminating Dropout Prediction beyond Algorithmic Fairness: Ensuring Coverage in Preprocessing Pipelines. 4642-4648 - Federico Caviggioli, Alessandra Colombelli, Chiara Ravetti:
Peers and Stars: the role of gender among coinventors. 4649-4655 - Wanghu Chen, Jilong Yao, Yang Liu, Jing Li, Yan Sun, Chunyu Pang:
Psychological Attention-based Analytics of Multivariate Campus Behaviors of University Students. 4656-4663 - Marc Andrew Choi, Siyu Huang, Hengyuan Qi, Marco Scialanga, Emerson McMullen, Axel Sanchez Moreno, Yifei Lou, Andrea L. Bertozzi, P. Jeffrey Brantingham:
Combining Dynamic Mode Decomposition and Difference-in-Differences in an Analysis of At-Risk Youth. 4664-4673 - Alessandra Colombelli, Greta Temporin, Francesco Serraino, Tania Cerquitelli:
Physical and mental health of university staff during the Covid-19 pandemic. 4674-4680 - Yazheng Liu, Xi Zhang, Sihong Xie:
Trade less Accuracy for Fairness and Trade-off Explanation for GNN. 4681-4690 - Christina Makri, Alexandros Karakasidis, Evaggelia Pitoura:
Towards a more Accurate and Fair SVM-based Record Linkage. 4691-4699 - Mariachiara Mecati, Andrea Adrignola, Antonio Vetrò, Marco Torchiano:
Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels of Algorithmic Fairness. 4700-4709 - Genoveva Vargas-Solar, Tania Cerquitelli, Arianna Montorsi, Stefania Salvai, Maria Teresa Sangineti, Jérôme Darmont, Cécile Favre:
Promoting equity, diversity and inclusion: policies, strategies and future directions in higher education, research communities and business. 4710-4718 - John Wamburu, Girmaw Abebe Tadesse, Celia Cintas, Adebayo Oshingbesan, Tanya Akumu, Skyler Speakman:
Systematic Discovery of Bias in Data. 4719-4725