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ORCIDCoRR, January 2019
- Vlad Taran
, Yuri G. Gordienko, Alexandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions. - Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki:
Learning Spatial Common Sense with Geometry-Aware Recurrent Networks. - Karim A. Banawan, Sennur Ulukus:
Private Information Retrieval from Non-Replicated Databases. - Zhenwei Miao, Kim-Hui Yap, Xudong Jiang, Subbhuraam Sinduja, Zhenhua Wang:
DCI: Discriminative and Contrast Invertible Descriptor. - Zhenwei Miao, Kim-Hui Yap, Xudong Jiang:
Interest Point Detection based on Adaptive Ternary Coding. - Burak Bartan, Mert Pilanci:
Convex Relaxations of Convolutional Neural Nets. - Matvey Arye, Siddhartha Sen, Michael J. Freedman:
Poor Video Streaming Performance Explained (and Fixed). - Shengqin Jiang, Xiaobo Lu, Yinjie Lei, Lingqiao Liu:
Mask-aware networks for crowd counting. - Alireza Sedghi, Jie Luo, Alireza Mehrtash, Steve Pieper, Clare M. Tempany, Tina Kapur, Parvin Mousavi, William M. Wells III:
Deep Information Theoretic Registration. - Paras Jain, Xiangxi Mo, Ajay Jain, Harikaran Subbaraj, Rehan Sohail Durrani, Alexey Tumanov, Joseph Gonzalez, Ion Stoica:
Dynamic Space-Time Scheduling for GPU Inference. - Ryota Natsume, Shunsuke Saito, Zeng Huang, Weikai Chen, Chongyang Ma, Hao Li, Shigeo Morishima:
SiCloPe: Silhouette-Based Clothed People. - Long Zhang, Xuechao Sun, Yong Li, Zhenyu Zhang:
A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks. - (Withdrawn) Multiple Sclerosis Lesion Inpainting Using Non-Local Partial Convolutions.
- Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
SynonymNet: Multi-context Bilateral Matching for Entity Synonyms. - Ami Tavory:
The Stochastic Complexity of Principal Component Analysis. - Zhenpei Yang, Jeffrey Z. Pan, Linjie Luo, Xiaowei Zhou, Kristen Grauman, Qixing Huang:
Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion. - Peter Eckersley:
Impossibility and Uncertainty Theorems in AI Value Alignment (or why your AGI should not have a utility function). - Mahtab Ahmed, Muhammad Rifayat Samee, Robert E. Mercer:
Improving Tree-LSTM with Tree Attention. - Gábor Petneházi:
Recurrent Neural Networks for Time Series Forecasting. - Sean Robertson, Gerald Penn, Yingxue Wang:
Exploring spectro-temporal features in end-to-end convolutional neural networks. - Bernd Finkbeiner, Samantha Kleinberg:
Proceedings 3rd Workshop on formal reasoning about Causation, Responsibility, and Explanations in Science and Technology, CREST@ETAPS 2018, Thessaloniki, Greece, 21st April 2018. EPTCS 286, 2019 [contents] - Ramin Ayanzadeh, Seyedahmad Mousavi, Milton Halem, Tim Finin:
Quantum Annealing Based Binary Compressive Sensing with Matrix Uncertainty. - Hader E. El-hmaily, Rabab Ezz-Eldin, Ahmed I. A. Galal, Hesham F. A. Hamed:
High Performance GNR Power Gating for Low-Voltage CMOS Circuits. - Jiarong Dong, Ke Gao, Xiaokai Chen, Junbo Guo, Juan Cao, Yongdong Zhang:
Not All Words are Equal: Video-specific Information Loss for Video Captioning. - (Withdrawn) Training with the Invisibles: Obfuscating Images to Share Safely for Learning Visual Recognition Models.
- Zhiri Tang, Ruohua Zhu, Peng Lin, Jin He, Hao Wang, Qijun Huang, Sheng Chang, Qiming Ma:
A Hardware Friendly Unsupervised Memristive Neural Network with Weight Sharing Mechanism. - Jinwook Huh, Omur Arslan, Daniel D. Lee:
Probabilistically Safe Corridors to Guide Sampling-Based Motion Planning. - Ranjan Mondal, Sanchayan Santra, Bhabatosh Chanda:
Dense Morphological Network: An Universal Function Approximator. - Jie Song, Yichuan Zhang, Yubin Bao, Ge Yu:
Probery: A Probability-based Incomplete Query Optimization for Big Data. - Yonatan Glassner, Liran Gispan, Ariel Ayash, Tal Furman Shohet:
Closing the gap towards end-to-end autonomous vehicle system. - Sai Kiran Narayanaswami, Nandan Sudarsanam, Balaraman Ravindran:
An Active Learning Framework for Efficient Robust Policy Search. - Mundher Al-Shabi, Hwee Kuan Lee, Maxine Tan:
Gated-Dilated Networks for Lung Nodule Classification in CT scans. - Ahmad Shawahna, Sadiq M. Sait, Aiman El-Maleh:
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review. - Roshan Gopalakrishnan, Ashish Jith Sreejith Kumar, Yansong Chua:
MaD: Mapping and debugging framework for implementing deep neural network onto a neuromorphic chip with crossbar array of synapses. - Zheng-Chu Guo, Lei Shi, Shao-Bo Lin:
Realizing data features by deep nets. - Francesco Malandrino, Carla-Fabiana Chiasserini:
5G Traffic Forecasting: If Verticals and Mobile Operators Cooperate. - Zhuoran Yang, Yuchen Xie, Zhaoran Wang:
A Theoretical Analysis of Deep Q-Learning. - Josep Díaz, Lefteris M. Kirousis, Sofia Kokonezi, John Livieratos:
Algorithmically Efficient Syntactic Characterization of Possibility Domains. - Wenbo Li, Zhicheng Wang, Binyi Yin, Qixiang Peng, Yuming Du, Tianzi Xiao, Gang Yu, Hongtao Lu, Yichen Wei, Jian Sun:
Rethinking on Multi-Stage Networks for Human Pose Estimation. - Andrey Polyakov, Mikhail L. Zymbler:
Parallel Algorithm for Time Series Discords Discovery on the Intel Xeon Phi Knights Landing Many-core Processor. - Faisal N. Abu-Khzam, Judith Egan, Serge Gaspers, Alexis Shaw, Peter Shaw:
On the Parameterized Cluster Editing with Vertex Splitting Problem. - Wanrong Zhu, Zhiting Hu, Eric P. Xing:
Text Infilling. - Mahesh Babu Vaddi, B. Sundar Rajan:
A Field-Size Independent Code Construction for Groupcast Index Coding Problems. - Bodhisatwa Mandal, Suvam Dubey, Swarnendu Ghosh, Ritesh Sarkhel, Nibaran Das:
Handwritten Indic Character Recognition using Capsule Networks. - Martin Weiß:
Optimal Object Placement using a Virtual Axis. - Shengze Yu, Xin Wang, Wenwu Zhu, Peng Cui, Jingdong Wang:
Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation. - Shaobo Han, David B. Dunson:
Supervised Multiscale Dimension Reduction for Spatial Interaction Networks. - Dogan Ulus:
Online Monitoring of Metric Temporal Logic using Sequential Networks. - Jingbo Liu, Mohammad Hossein Yassaee, Sergio Verdú:
Sharp Bounds for Mutual Covering. - W. W. N. C. K. Palagolla, A. P. R. Wickramarachchi:
Effective integration of ICT to facilitate the secondary education in Sri Lanka. - Jung Hoon Lee:
Complementary reinforcement learning towards explainable agents. - Ali Momeni, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck, Mahdi Orooji:
End-to-End Performance Optimization in Hybrid Molecular and Electromagnetic Communications. - Raimondas Ciegis, Petr N. Vabishchevich:
High order numerical schemes for solving fractional powers of elliptic operators. - Ramin Hasibi, Matin Shokri, Mehdi Dehghan Takht Fooladi:
Augmentation Scheme for Dealing with Imbalanced Network Traffic Classification Using Deep Learning. - Mehryar Emambakhsh, Adrian N. Evans:
Nasal Patches and Curves for Expression-robust 3D Face Recognition. - Anuj K. Nayak, Seyyedali Hosseinalipour, Huaiyu Dai:
Smart Information Spreading for Opinion Maximization in Social Networks. - Andrea Zanette, Emma Brunskill:
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds. - Bashar Alhafni, Saulo Fernando Guedes, Lays Cavalcante Ribeiro, Juhyun Park, Jeongkyu Lee:
Mapping Areas using Computer Vision Algorithms and Drones. - Kamyar Nazeri, Eric Ng, Tony Joseph, Faisal Z. Qureshi, Mehran Ebrahimi:
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. - Soummya Kar, Brian Swenson:
Clustering with Distributed Data. - Tingting Qiao, Weijing Zhang, Miao Zhang, Zixuan Ma, Duanqing Xu:
Ancient Painting to Natural Image: A New Solution for Painting Processing. - Shubham S. Srivastava, Medha Atre, Shubham Sharma, Rahul Gupta, Sandeep K. Shukla:
Verity: Blockchains to Detect Insider Attacks in DBMS. - Ismael Herrera-Revilla, Iván Contreras, Graciela S. Herrera:
The Divide-and-Conquer Framework: A Suitable Setting for the DDM of the Future. - Shuai Ma, Jinpeng Huai:
Approximate Computation for Big Data Analytics. - Heng Liu, Haoming Jia, Jiaqi Chen, Xiaohu Ge, Yonghui Li, Lin Tian, Jinglin Shi:
Computing Resource Allocation of Mobile Edge Computing Networks Based on Potential Game Theory. - Ali Moin, Andy Zhou, Simone Benatti, Abbas Rahimi, George Alexandrov, Alisha Menon, Senam Tamakloe, Jonathan Ting, Natasha Yamamoto, Yasser Khan, Fred L. Burghardt, Ana C. Arias, Luca Benini, Jan M. Rabaey:
Adaptive EMG-based hand gesture recognition using hyperdimensional computing. - Gang Xu, Ran Ling, Yongjie Jessica Zhang, Zhoufang Xiao, Zhongping Ji, Timon Rabczuk:
Singularity Structure Simplification of Hexahedral Mesh via Weighted Ranking. - San Ling, Khoa Nguyen, Huaxiong Wang, Yanhong Xu:
Accountable Tracing Signatures from Lattices. - Mohammad Kachuee, Orpaz Goldstein, Kimmo Kärkkäinen, Sajad Darabi, Majid Sarrafzadeh:
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams. - Christopher J. Hazard, Christopher Fusting, Michael Resnick, Michael Auerbach, Michael Meehan, Valeri Korobov:
Natively Interpretable Machine Learning and Artificial Intelligence: Preliminary Results and Future Directions. - Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen:
A Survey on Multi-output Learning. - Danilo Vasconcellos Vargas, Junichi Murata, Hirotaka Takano, Alexandre Cláudio Botazzo Delbem:
General Subpopulation Framework and Taming the Conflict Inside Populations. - Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Máximo, Adilson Marques da Cunha:
Learning Humanoid Robot Motions Through Deep Neural Networks. - Wei Chen, Jincai Chen, Fuhao Zou, Yuan-Fang Li, Ping Lu, Qiang Wang, Wei Zhao:
Vector and Line Quantization for Billion-scale Similarity Search on GPUs. - Miao Zhang, Huiqi Li, Juan Lyu, Sai-Ho Ling, Steven W. Su:
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization. - Kenji Kawaguchi, Leslie Pack Kaelbling:
Elimination of All Bad Local Minima in Deep Learning. - Mohammad Mahfujur Rahman, Clinton Fookes, Mahsa Baktashmotlagh, Sridha Sridharan:
On Minimum Discrepancy Estimation for Deep Domain Adaptation. - Xingjian Du, Mengyao Zhu, Xuan Shi, Xinpeng Zhang, Wen Zhang, Jingdong Chen:
End-to-End Model for Speech Enhancement by Consistent Spectrogram Masking. - Vidya Prasad K, Akarsh S, R. Vinayakumar, Soman K. P:
A Deep Learning Approach for Similar Languages, Varieties and Dialects. - Han Yu, Chunyan Miao, Yongqing Zheng, Lizhen Cui, Simon Fauvel, Cyril Leung:
Ethically Aligned Opportunistic Scheduling for Productive Laziness. - Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand N. Negahban:
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback. - Abolfazl Danayi, Saeed Sharifian:
openCoT: The opensource Cloud of Things platform. - Caijing Miao, Lingxi Xie, Fang Wan, Chi Su, Hongye Liu, Jianbin Jiao, Qixiang Ye:
SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images. - Dominik Kowald, Simone Kopeinik, Elisabeth Lex:
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems. - Zheng Dong, Jian-Kang Zhang, He Chen:
Average SEP-Optimal Precoding for Correlated Massive MIMO with ZF Detection: An Asymptotic Analysis. - Torgeir Dingsøyr, Davide Falessi, Ken Power:
Agile Development at Scale: The Next Frontier. - Michal Koperski, Tomasz K. Konopczynski, Piotr Semberecki, Tomasz Trzcinski:
Plugin Networks for Inference under Partial Evidence. - Valerie Chen, Valerio Pastro, Mariana Raykova:
Secure Computation for Machine Learning With SPDZ. - Seth Gilbert, Peter Robinson, Suman Sourav:
Leader Election in Well-Connected Graphs. - Harm H. M. Weerts, Jonas Linder, Martin Enqvist, Paul M. J. Van den Hof:
Abstractions of linear dynamic networks for input selection in local module identification. - Massimiliano Dal Mas:
Responsive Equilibrium for Self-Adaptive Ubiquitous Interaction. - Sudip Poddar, Robert Wille, Hafizur Rahaman, Bhargab B. Bhattacharya:
Dilution with Digital Microfluidic Biochips: How Unbalanced Splits Corrupt Target-Concentration. - Wenchao Xia, Gan Zheng, Yongxu Zhu, Jun Zhang, Jiangzhou Wang, Athina P. Petropulu:
A Deep Learning Framework for Optimization of MISO Downlink Beamforming. - Bowen Lin, Shujun Fu, Caiming Zhang, Fengling Wang, Yuliang Li:
Optical Fringe Patterns Filtering Based on Multi-Stage Convolution Neural Network. - Jiaming Liu, Chengquan Zhang, Yipeng Sun, Junyu Han, Errui Ding:
Detecting Text in the Wild with Deep Character Embedding Network. - Karl Schlechta:
KI, Philosophie, Logik. - Shitao Tang, Litong Feng, Wenqi Shao, Zhanghui Kuang, Wei Zhang, Yimin Chen:
Learning Efficient Detector with Semi-supervised Adaptive Distillation. - Chong Zhang, Yao Qin, Gongpu Wang, Ruisi He, Rongfei Fan:
Transceiver Design for Ambient Backscatter Communication over Frequency-Selective Channels. - Yaman Umuroglu, Davide Conficconi, Lahiru Rasnayake, Thomas B. Preußer, Magnus Själander:
Optimizing Bit-Serial Matrix Multiplication for Reconfigurable Computing. - Anton Badev:
Nash Equilibria on (Un)Stable Networks. - Anaïs Vergne, Laurent Decreusefond, Philippe Martins:
Computing the k-coverage of a wireless network. - Han Mao Kiah, Anshoo Tandon, Mehul Motani:
Generalized Sphere-Packing Bound for Subblock-Constrained Codes. - Kai Han, Jianyuan Guo, Chao Zhang, Mingjian Zhu:
Attribute-Aware Attention Model for Fine-grained Representation Learning. - Harish Kannan, Emil Saucan, Indrava Roy, Areejit Samal:
Persistent homology of unweighted complex networks via discrete Morse theory. - Belén Saldías-Fuentes, Pavlos Protopapas, Karim Pichara B.:
A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification. - Cristina Garbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei:
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation. - Oren Halvani, Christian Winter, Lukas Graner:
Unary and Binary Classification Approaches and their Implications for Authorship Verification. - Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann:
Sentence-Level Sentiment Analysis of Financial News Using Distributed Text Representations and Multi-Instance Learning. - Yi Luan:
Information Extraction from Scientific Literature for Method Recommendation. - Shiva Kumar H. R., A. G. Ramakrishnan:
Lipi Gnani - A Versatile OCR for Documents in any Language Printed in Kannada Script. - Dai Hoang Tran, Zawar Hussain, Wei Emma Zhang, Nguyen Lu Dang Khoa, Nguyen Hoang Tran, Quan Z. Sheng:
Deep Autoencoder for Recommender Systems: Parameter Influence Analysis. - Wim Vanderbauwhede, Syed Waqar Nabi:
Towards Automatic Transformation of Legacy Scientific Code into OpenCL for Optimal Performance on FPGAs. - Simon Cooksey, Sarah Harris, Mark Batty, Radu Grigore, Mikolás Janota:
PrideMM: A Solver for Relaxed Memory Models. - Giovanni Abramo, Ciriaco Andrea D'Angelo, Francesco Rosati:
Gender bias in academic recruitment. - Dimitrios Rafailidis, Yannis Manolopoulos:
The Technological Gap Between Virtual Assistants and Recommendation Systems. - Pierre Baldi, Roman Vershynin:
The capacity of feedforward neural networks. - Oguzhan Gencoglu:
Deep Representation Learning for Clustering of Health Tweets. - Li-Xin Wang:
Hierarchical Fuzzy Opinion Networks: Top-Down for Social Organizations and Bottom-Up for Election. - (Withdrawn) BMF: Block matrix approach to factorization of large scale data.
- Andres Ferraro, Dmitry Bogdanov, Jisang Yoon, KwangSeob Kim, Xavier Serra:
Automatic playlist continuation using a hybrid recommender system combining features from text and audio. - Yi Zhou, Junjie Yang, Huishuai Zhang, Yingbin Liang, Vahid Tarokh:
SGD Converges to Global Minimum in Deep Learning via Star-convex Path. - Anthony Brunel, Johanna Pasquet, Jérôme Pasquet, Nancy Rodriguez, Frédéric Comby, Dominique Fouchez, Marc Chaumont:
A CNN adapted to time series for the classification of Supernovae. - Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez:
Improved Hyperspectral Unmixing With Endmember Variability Parametrized Using an Interpolated Scaling Tensor. - Davis Rempe, Srinath Sridhar, He Wang, Leonidas J. Guibas:
Learning Generalizable Physical Dynamics of 3D Rigid Objects. - Hsin-Hao Su, Hoa T. Vu:
Towards the Locality of Vizing's Theorem. - Ali Maatouk, Mohamad Assaad, Anthony Ephremides:
Minimizing The Age of Information in a CSMA Environment. - Meera Hahn, Andrew Silva, James M. Rehg:
Action2Vec: A Crossmodal Embedding Approach to Action Learning. - Jianzhu Guo, Xiangyu Zhu, Jinchuan Xiao, Zhen Lei, Genxun Wan, Stan Z. Li:
Improving Face Anti-Spoofing by 3D Virtual Synthesis. - Evan Cavallo, Robert Harper:
Parametric Cubical Type Theory. - Riham S. Elhabyan, Wei Shi, Marc St-Hilaire:
Coverage Protocols for Wireless Sensor Networks: Review and Future Directions. - Eitan Netzer, Alex Frid, Dan Feldman:
Real-Time EEG Classification via Coresets for BCI Applications. - Chloe He, Alexis Gkantiragas, Gerard Glowacki:
Honey Authentication with Machine Learning Augmented Bright-Field Microscopy. - Alexandra N. M. Darmon, Marya Bazzi, Sam D. Howison, Mason A. Porter:
Pull out all the stops: Textual analysis via punctuation sequences. - Bin Ma, Shubao Liu, Yingxuan Zhi, Qi Song:
Flow Based Self-supervised Pixel Embedding for Image Segmentation. - Victor Davis:
Types, Tokens, and Hapaxes: A New Heap's Law. - Daniel Kent, Fathi M. Salem:
Performance of Three Slim Variants of The Long Short-Term Memory (LSTM) Layer. - Jungyeol Kim, Saswati Sarkar, Santosh S. Venkatesh, Megan Smirti Ryerson, David Starobinski:
Modeling Information Propagation in General V2V-enabled Transportation Networks. - Preetum Nakkiran:
Adversarial Robustness May Be at Odds With Simplicity. - Anna Smagina, Valentina P. Bozhkova, Sergey Gladilin, Dmitry P. Nikolaev:
Linear colour segmentation revisited. - Abby Stylianou, Richard Souvenir, Robert Pless:
Visualizing Deep Similarity Networks. - Mengtian Li, Zhe Lin, Radomír Mech, Ersin Yumer, Deva Ramanan:
Photo-Sketching: Inferring Contour Drawings from Images. - Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira:
Multi-class Classification without Multi-class Labels. - Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu:
Multi-Label Adversarial Perturbations. - Antonio L. Alfeo, Mario G. C. A. Cimino, Gigliola Vaglini:
Measuring Physical Activity of Older Adults via Smartwatch and Stigmergic Receptive Fields. - Antonio L. Alfeo, Francesco Paolo Appio, Mario G. C. A. Cimino, Alessandro Lazzeri, Antonella Martini, Gigliola Vaglini:
An adaptive stigmergy-based system for evaluating technological indicator dynamics in the context of smart specialization. - Jonathan Scarlett, Volkan Cevher:
An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation. - Zengyou He, Chaohua Sheng, Yan Liu, Quan Zou:
Instance-Based Classification through Hypothesis Testing. - Jie Wen, Zuofeng Zhong, Zheng Zhang, Lunke Fei, Zhihui Lai, Runze Chen:
Adaptive Locality Preserving Regression. - Reza Mirosanlou, Mohammadkazem Taram, Zahra Shirmohammadi, Seyed Ghassem Miremadi:
3DCAM: A Low Overhead Crosstalk Avoidance Mechanism for TSV-Based 3D ICs. - Meixin Zhu, Xuesong Wang, Yinhai Wang:
Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning. - Ahmad Hany Hossny, Lewis Mitchell:
Event detection in Twitter: A keyword volume approach. - Xinwu Yang, Guizeng You, Chong Zhao, Mengfei Dou, Xinian Guo:
An Improved multi-objective genetic algorithm based on orthogonal design and adaptive clustering pruning strategy. - Jiali Luan, Zheng Zhang:
Prediction of multi-dimensional spatial variation data via Bayesian tensor completion. - Luke Hsiao, Hudson Ayers:
The Price of Free Illegal Live Streaming Services. - Zheyuan Ryan Shi, Aaron Schlenker, Brian Hay, Fei Fang:
Towards Thwarting Social Engineering Attacks. - Georgiana Caltais, Sophie Linnea Guetlein, Stefan Leue:
Causality for General LTL-definable Properties. 1-15 - Rayna Dimitrova, Rupak Majumdar, Vinayak S. Prabhu:
Causality Analysis for Concurrent Reactive Systems (Extended Abstract). 31-33 - Kevin Baum, Holger Hermanns, Timo Speith:
Towards a Framework Combining Machine Ethics and Machine Explainability. 34-49 - Hadas Kress-Gazit, Hazem Torfah:
The Challenges in Specifying and Explaining Synthesized Implementations of Reactive Systems. 50-64 - Ioana Cristescu, Walter Fontana, Jean Krivine:
Interactions between Causal Structures in Graph Rewriting Systems. 65-78 - Fausto Barbero, Gabriel Sandu:
Interventionist Counterfactuals on Causal Teams. 16-30 - Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, Philip S. Yu:
A Comprehensive Survey on Graph Neural Networks. - Yun He, Haochen Chen, Ziwei Zhu, James Caverlee:
Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. - Daoyu Lin, Guangluan Xu, Xiaoke Wang, Yang Wang, Xian Sun, Kun Fu:
A Remote Sensing Image Dataset for Cloud Removal. - Yun Feng, Bing-Chuan Wang, Li Ding:
A Constrained Cooperative Coevolution Strategy for Weights Adaptation Optimization of Heterogeneous Epidemic Spreading Networks. - Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher:
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. - Xiaokang Wen, Suzhi Bi, Xiaohui Lin, Lina Yuan, Juan Wang:
Throughput Maximization for Ambient Backscatter Communication: A Reinforcement Learning Approach. - Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin:
Adversarial Learning of a Sampler Based on an Unnormalized Distribution. - Sameera Ramasinghe, Salman H. Khan, Nick Barnes:
Volumetric Convolution: Automatic Representation Learning in Unit Ball. - Pengfei Zuo, Yu Hua, Yuan Xie:
A Secure and Persistent Memory System for Non-volatile Memory. - Weidong Zhang, Wei Zhang, Jason Gu:
Edge-Semantic Learning Strategy for Layout Estimation in Indoor Environment. - Robert Utterback, Kunal Agrawal, Jeremy T. Fineman, I-Ting Angelina Lee:
Efficient Race Detection with Futures. - Zhifei Zhang, Wanling Gao, Fan Zhang, Yunyou Huang, Shaopeng Dai, Fanda Fan, Jianfeng Zhan, Mengjia Du, Silin Yin, Longxin Xiong, Juan Du, Yumei Cheng, Xiexuan Zhou, Rui Ren, Lei Wang, Hainan Ye:
Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks. - Bingbing Zhuang, Loong-Fah Cheong, Gim Hee Lee:
Baseline Desensitizing In Translation Averaging. - Josef Spillner:
Quality Assessment and Improvement of Helm Charts for Kubernetes-Based Cloud Applications. - Haiyan Jiang, Yong Niu, Jiayi Zhang, Bo Ai, Zhangdui Zhong:
Coalition Game based Full-duplex Concurrent Scheduling in Millimeter Wave Wireless Backhaul Network. - Peng Jia, Pinghui Wang, Jing Tao, Xiaohong Guan:
A Fast Sketch Method for Mining User Similarities over Fully Dynamic Graph Streams. - Dayana Ribas, Jorge Llombart, Antonio Miguel, Luis Vicente:
Deep Speech Enhancement for Reverberated and Noisy Signals using Wide Residual Networks. - Hung-Fu Chang, Tzu-Kang Lin:
Real-time Structural Health Monitoring System Using Internet of Things and Cloud Computing. - Leila Ben Othman:
Une nouvelle approche de complétion des valeurs manquantes dans les bases de données. - Junyang Jin, Ye Yuan, Jorge M. Gonçalves:
High Precision Variational Bayesian Inference of Sparse Linear Networks. - Francois P. S. Luus, Naweed Khan, Ismail Akhalwaya:
Active Learning with TensorBoard Projector. - Bo Song, Xiaobo Jiang, Xinhua Zhuang:
Virtual Web Based Personalized PageRank Updating. - Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto:
GeoNet: Deep Geodesic Networks for Point Cloud Analysis. - Tobias Hinz, Stefan Heinrich, Stefan Wermter:
Generating Multiple Objects at Spatially Distinct Locations. - Dhaivat Dholakiya, Shounak Bhattacharya, Ajay Gunalan, Abhik Singla, Shalabh Bhatnagar, Bharadwaj Amrutur, Ashitava Ghosal, Shishir Kolathaya:
Design, Development and Experimental Realization of a Quadrupedal Research Platform: Stoch. - Huaiping Ming, Lei He, Haohan Guo, Frank K. Soong:
Feature reinforcement with word embedding and parsing information in neural TTS. - Marcus Klasson, Cheng Zhang, Hedvig Kjellström:
A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels. - Alireza Sepas-Moghaddam, Fernando Pereira, Paulo Lobato Correia:
Face Recognition: A Novel Multi-Level Taxonomy based Survey. - Abdullah M. Khalili, Abdel-Hamid Soliman, Md. Asaduzzaman, Alison L. Griffiths:
Wi-Fi Sensing: Applications and Challenges. - Marmar Orooji, Gerald M. Knapp:
Improving Suppression to Reduce Disclosure Risk and Enhance Data Utility. - Nader H. Bshouty:
Almost Optimal Distribution-free Junta Testing. - Philip Bille, Mikko Berggren Ettienne, Inge Li Gørtz:
Mergeable Dictionaries With Shifts. - Natalia Jerdack, Akmaral Dauletbek, Meredith Divine, Michael Hult, Arthur Carvalho:
Understanding What Drives Bitcoin Trading Activities. - Simon M. Lucas, Jialin Liu, Ivan Bravi, Raluca D. Gaina, John R. Woodward, Vanessa Volz, Diego Perez Liebana:
Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best. - Augusto Ciuffoletti:
On-line Remote EKG as a Web Service. - Jan Helmig, Marek Behr, Stefanie Elgeti:
Boundary-Conforming Finite Element Methods for Twin-Screw Extruders: Unsteady - Temperature-Dependent - Non-Newtonian Simulations. - Yufeng Zhan, Yuanqing Xia, Jiang Zhang, Ting Li, Yu Wang:
Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach. - Adriane Chapman, Elena Simperl, Laura Koesten, George Konstantinidis, Luis-Daniel Ibáñez-Gonzalez, Emilia Kacprzak, Paul Groth:
Dataset search: a survey. - Yuriy Syerov, Olha Trach, Solomia Fedushko:
Effect of implementation of improved methods of the life cycle stages organisation to the online community management. - Mohammad Motamedi, Felix Portillo, Mahya Saffarpour, Daniel D. Fong, Soheil Ghiasi:
Resource-Scalable CNN Synthesis for IoT Applications. - Emre Calisir, Marco Brambilla:
Characterizing Long-Running Political Phenomena on Social Media. - Muhammad Junaid Farooq, Quanyan Zhu:
Modeling, Analysis, and Mitigation of Dynamic Botnet Formation in Wireless IoT Networks. - Mohammad Hessam Olya, Dongxiao Zhu, Kai Yang:
Multi-task Prediction of Patient Workload. - Zhengbo Zou, Di Sha:
The Impact of Countdown Clocks on Subway Ridership in New York City. - Ryan A. Ebardo:
Visibility and Training in Open Source Software Adoption: A Case in Philippine Higher Education. - Neil Deshmukh:
Low-Cost Device Prototype for Automatic Medical Diagnosis Using Deep Learning Methods. - Ouri Poupko, Gal Shahaf, Ehud Shapiro, Nimrod Talmon:
Sybil-Resilient Conductance-Based Community Growth. - Silvia Butti, Stanislav Zivný:
Sparsification of Binary CSPs. - Supriya Sarker, Abdur Rahman Bin Shahid:
Cyberbullying of High School Students in Bangladesh: An Exploratory Study. - Avishek Choudhury:
Classification of Functioning, Disability, and Health: ICF-CY Self Care (SCADI Dataset) Using Predictive Analytics. - Bogdan D. Czejdo, Wiktor B. Daszczuk, Waldemar Grabski, Sambit Bhattacharya:
Cooperation of Multiple Autonomous Robots and Analysis of their Swarm Behavior. - Annalisa Buffa, Jacopo Corno, Carlo de Falco, Sebastian Schöps, Rafael Vázquez Hernández:
Isogeometric Mortar Coupling for Electromagnetic Problems. - Tai-Yu Ma, Saeid Rasulkhani, Joseph Y. J. Chow, Sylvain Klein:
A dynamic ridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers. - Marco F. S. Xaud, Antonio C. Leite, Evelyn S. Barbosa, Henrique D. Faria, Gabriel S. M. Loureiro, Pål Johan From:
Robotic Tankette for Intelligent BioEnergy Agriculture: Design, Development and Field Tests. - Johannes Schneider, Joshua Handali:
Personalized explanation in machine learning. - Kui Xu, Zhe Wang, Jianping Shi, Hongsheng Li, Qiangfeng Cliff Zhang:
A^2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes. - Yotam Gigi, Gal Elidan, Avinatan Hassidim, Yossi Matias, Zach Moshe, Sella Nevo, Guy Shalev, Ami Wiesel:
Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many. - Leonardo Enzo Brito da Silva, Islam El-Nabarawy, Donald C. Wunsch II:
Distributed dual vigilance fuzzy adaptive resonance theory learns online, retrieves arbitrarily-shaped clusters, and mitigates order dependence. - Patrick Ah-Fat, Michael Huth:
Scalable Information-Flow Analysis of Secure Three-Party Affine Computations. - Hai-xia Peng, Qiang Ye, Xuemin Shen:
Spectrum Resource Management for Multi-Access Edge Computing in Autonomous Vehicular Networks. - Seungsu Kim, Alexandre Coninx, Stéphane Doncieux:
From exploration to control: learning object manipulation skills through novelty search and local adaptation. - Chen Zheng, Lei Wang, Sally A. McKee, Lixin Zhang, Hainan Ye, Jianfeng Zhan:
XOS: An Application-Defined Operating System for Data Center Servers. - Zhongdong Liu, Bo Ji:
Towards the Tradeoff Between Service Performance and Information Freshness. - Alexander Fengler, Giuseppe Caire, Peter Jung, Saeid Haghighatshoar:
Massive MIMO Unsourced Random Access. - Vanishree Rao, Yunhui Long, Hoda Eldardiry, Shantanu Rane, Ryan A. Rossi, Frank Torres:
Secure Two-Party Feature Selection. - Eric Mazumdar, Michael I. Jordan, S. Shankar Sastry:
On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games. - Mohammad Mohammadi Amiri, Deniz Gündüz:
Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air. - Sergio Pastrana, Guillermo Suarez-Tangil:
A First Look at the Crypto-Mining Malware Ecosystem: A Decade of Unrestricted Wealth. - Runtao Liu, Chenxi Liu, Yutong Bai, Alan L. Yuille:
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions. - Hasan Zakeri, Panos J. Antsaklis:
Passivity and Passivity Indices of Nonlinear Systems Under Operational Limitations using Approximations. - Zhuoran Ji:
HG-Caffe: Mobile and Embedded Neural Network GPU (OpenCL) Inference Engine with FP16 Supporting. - Bradley Gram-Hansen, Patrick Helber, Indhu Varatharajan, Faiza Azam, Alejandro Coca-Castro, Veronika Kopacková, Piotr Bilinski:
Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data. - Duo Xu:
Learning Nonlinear State Space Models with Hamiltonian Sequential Monte Carlo Sampler. - Miaolin Fan, Chun-An Chou, Sheng-Che Yen, Yingzi Lin:
A Network-based Multimodal Data Fusion Approach for Characterizing Dynamic Multimodal Physiological Patterns. - James Stovold:
Trainable Associative Memory Neural Networks in a Quantum-Dot Cellular Automata. - Jeremiah Johnson:
Subspace Match Probably Does Not Accurately Assess the Similarity of Learned Representations. - Hifza Javed, Rachael Burns, Myounghoon Jeon, Ayanna M. Howard, Chung Hyuk Park:
An Interactive Robotic Framework to Facilitate Sensory Experiences for Children with ASD. - Xing Di, He Zhang, Vishal M. Patel:
Polarimetric Thermal to Visible Face Verification via Attribute Preserved Synthesis. - Carlos Bernal-Cárdenas, Kevin Moran, Michele Tufano, Zichang Liu, Linyong Nan, Zhehan Shi, Denys Poshyvanyk:
Guigle: A GUI Search Engine for Android Apps. - Horia Porav, Tom Bruls, Paul Newman:
I Can See Clearly Now : Image Restoration via De-Raining. - Ghasem Pasandi, Alireza Shafaei, Massoud Pedram:
SFQmap: A Technology Mapping Tool for Single Flux Quantum Logic Circuits. - Kostas Drakonakis, Panagiotis Ilia, Sotiris Ioannidis, Jason Polakis:
Please Forget Where I Was Last Summer: The Privacy Risks of Public Location (Meta)Data. - Horia Porav, Paul Newman:
Imminent Collision Mitigation with Reinforcement Learning and Vision. - Michael Mitzenmacher:
A Model for Learned Bloom Filters, and Optimizing by Sandwiching. - Zak Tonks:
On Fast Matrix Inversion via Fast Matrix Multiplication. - Christian Gorenflo, Stephen Lee, Lukasz Golab, Srinivasan Keshav:
FastFabric: Scaling Hyperledger Fabric to 20, 000 Transactions per Second. - Mehran Elyasi, Soheil Mohajer:
Cascade Codes For Distributed Storage Systems. - Kai-Cheng Yang, Onur Varol, Clayton A. Davis, Emilio Ferrara, Alessandro Flammini, Filippo Menczer:
Arming the public with AI to counter social bots. - Reza Ghaffari, Roger A. Sauer:
A nonlinear thermomechanical formulation for anisotropic volume and surface continua. - Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme:
Reachability and Differential based Heuristics for Solving Markov Decision Processes. - Seungchul Ryu:
Local Area Transform for Cross-Modality Correspondence Matching and Deep Scene Recognition. - Uzi Pereg, Yossef Steinberg:
The Water Filling Game. - Andrea Mayer, Stefano Salsano, Pier Luigi Ventre, Ahmed Abdelsalam, Luca Chiaraviglio, Clarence Filsfils:
An Efficient Linux Kernel Implementation of Service Function Chaining for legacy VNFs based on IPv6 Segment Routing. - Uzi Pereg, Yossef Steinberg:
The Capacity Region of the Arbitrarily Varying MAC: With and Without Constraints. - Valentin Antuori, Florian Richoux:
Constrained optimization under uncertainty for decision-making problems: Application to Real-Time Strategy games. - Carlos Florensa, Jonas Degrave, Nicolas Heess, Jost Tobias Springenberg, Martin A. Riedmiller:
Self-supervised Learning of Image Embedding for Continuous Control. - Nicholas R. Clayton, Hussein A. Abbass:
Machine Teaching in Hierarchical Genetic Reinforcement Learning: Curriculum Design of Reward Functions for Swarm Shepherding. - Shayan Tabatabaei Nikkhah, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
Space Expansion of Feature Selection for Designing more Accurate Error Predictors. - Deli Gong, Muoi Tran, Shweta Shinde, Hao Jin, Vyas Sekar, Prateek Saxena, Min Suk Kang:
Practical Verifiable In-network Filtering for DDoS defense. - Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan, Mason Rumuly, Srinivas Shakkottai, Dileep M. Kalathil, Ricky K. P. Mok, Amogh Dhamdhere:
QFlow: A Reinforcement Learning Approach to High QoE Video Streaming over Wireless Networks. - Matthew Muresan, Liping Fu, Guangyuan Pan:
Adaptive Traffic Signal Control with Deep Reinforcement Learning An Exploratory Investigation. - Guidan Yao, Morteza Hashemi, Ness B. Shroff:
Integrating Sub-6 GHz and Millimeter Wave to Combat Blockage: Delay-Optimal Scheduling. - Vasanthan Raghavan, Mei-Li Chi, M. Ali Tassoudji, Ozge H. Koymen, Junyi Li:
Antenna Placement and Performance Tradeoffs with Hand Blockage in Millimeter Wave Systems. - Huy Nguyen, Quang-Cuong Pham:
A probabilistic framework for tracking uncertainties in robotic manipulation. - Vasanthan Raghavan, Junyi Li:
Evolution of Physical-Layer Communications Research in the Post-5G Era. - Guoliang Kang, Lu Jiang, Yi Yang, Alexander G. Hauptmann:
Contrastive Adaptation Network for Unsupervised Domain Adaptation. - Alisha Sharma, Jonathan Ventura:
Unsupervised Learning of Depth and Ego-Motion from Panoramic Video. - (Withdrawn) Brief Review of Computational Intelligence Algorithms.
- Alexander A. Sherstov, Pei Wu:
Near-Optimal Lower Bounds on the Threshold Degree and Sign-Rank of AC^0. - Julian Marcon, Michael Turner, David Moxey, Spencer J. Sherwin, Joaquim Peiró:
A variational approach to high-order r-adaptation. - Julian Marcon, Michael Turner, Joaquim Peiró, David Moxey, Claire R. Pollard, Henry Bucklow, Mark Gammon:
High-order curvilinear hybrid mesh generation for CFD simulations. - Ravi Kumar Kolla, Prashanth L. A., Krishna P. Jagannathan:
Risk-aware Multi-armed Bandits Using Conditional Value-at-Risk. - Anna Zeng, Will Crichton:
Identifying Barriers to Adoption for Rust through Online Discourse. - Rongrong Lin, Haizhang Zhang, Jun Zhang:
On Reproducing Kernel Banach Spaces: Generic Definitions and Unified Framework of Constructions. - Xiangmin Zhou, Dong Qin, Xiaolu Lu, Lei Chen, Yanchun Zhang:
Online Social Media Recommendation over Streams. - Daniel Ritter, Fredrik Nordvall Forsberg, Stefanie Rinderle-Ma, Norman May:
Catalog of Optimization Strategies and Realizations for Composed Integration Patterns. - Ian M. Mitchell, Jacob Budzis, Andriy Bolyachevets:
Invariant, Viability and Discriminating Kernel Under-Approximation via Zonotope Scaling. - Tong Geng, Tianqi Wang, Ang Li, Xi Jin, Martin C. Herbordt:
A Scalable Framework for Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters with Weight and Workload Balancing. - Aili Shen, Bahar Salehi, Timothy Baldwin, Jianzhong Qi:
A Joint Model for Multimodal Document Quality Assessment. - Ratnesh Kumar, Edwin Weill, Farzin Aghdasi, Parthasarathy Sriram:
Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding. - Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang:
Transformed 𝓁1 Regularization for Learning Sparse Deep Neural Networks. - Yeow Meng Chee, Han Mao Kiah, Hengjia Wei:
Efficient and Explicit Balanced Primer Codes. - Daniel Kerrigan, Mateusz Trokielewicz, Adam Czajka, Kevin W. Bowyer:
Iris Recognition with Image Segmentation Employing Retrained Off-the-Shelf Deep Neural Networks. - Tomasz K. Konopczynski, Thorben Kröger, Lei Zheng, Jürgen Hesser:
Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning. - Junyang Jin, Ye Yuan, Jorge M. Gonçalves:
A Full Bayesian Approach to Sparse Network Inference using Heterogeneous Datasets. - Marco Di Renzo, Jian Song:
Reflection Probability in Wireless Networks with Metasurface-Coated Environmental Objects: An Approach Based on Random Spatial Processes. - Qing Li, Jiasong Zhu, Rui Cao, Ke Sun, Jonathan M. Garibaldi, Qingquan Li, Bozhi Liu, Guoping Qiu:
Relative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization. - Rahul-Vigneswaran K, Soman K. P.:
An Insight into the Dynamics and State Space Modelling of a 3-D Quadrotor. - Aljawharah Alnasser, Hongjian Sun, Jing Jiang:
Cyber Security Challenges and Solutions for V2X Communications: A Survey. - Han Cai, Tuvi Etzion, Moshe Schwartz, Antonia Wachter-Zeh:
Network Coding Solutions for the Combination Network and its Subgraphs. - Marie-Julie Rakotosaona, Vittorio La Barbera, Paul Guerrero, Niloy J. Mitra, Maks Ovsjanikov:
POINTCLEANNET: Learning to Denoise and Remove Outliers from Dense Point Clouds. - Lloyd Montgomery, Guy Evans, Francis Harrison, Daniela E. Damian:
Towards a Live Anonymous Question Queue To Address Student Apprehension. - Xueliang Li, Yuming Yang, Yepang Liu, John P. Gallagher, Kaishun Wu:
Detecting and Diagnosing Energy Issues for Mobile Applications. - Vladimir Kaplun, Michael Segal:
Breaching the privacy of connected vehicles network. - Xiangxiang Chu, Bo Zhang, Ruijun Xu, Hailong Ma:
Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search. - Md. Sahidullah, Héctor Delgado, Massimiliano Todisco, Tomi Kinnunen, Nicholas W. D. Evans, Junichi Yamagishi, Kong-Aik Lee:
Introduction to Voice Presentation Attack Detection and Recent Advances. - Konstantin Shmelkov, Thomas Lucas, Karteek Alahari, Cordelia Schmid, Jakob Verbeek:
Coverage and Quality Driven Training of Generative Image Models. - Lloyd Montgomery, Daniela E. Damian:
What do Support Analysts Know about Their Customers? On the Study and Prediction of Support Ticket Escalations in Large Software Organizations. - Chenghui Shi, Xiaogang Xu, Shouling Ji, Kai Bu, Jianhai Chen, Raheem A. Beyah, Ting Wang:
Adversarial CAPTCHAs. - Ana Almeida Matos, Jan Cederquist:
Information flow in a distributed security setting. - Ankush Garg, Mayank Agarwal:
Machine Translation: A Literature Review. - Kim-Manuel Klein:
About the Complexity of Two-Stage Stochastic IPs. - Rui She, Shanyun Liu, Pingyi Fan:
Information Measure Similarity Theory: Message Importance Measure via Shannon Entropy. - Xiaohui Huang, Pan He, Anand Rangarajan, Sanjay Ranka:
Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video. - Yuwei Li, Shouling Ji, Chenyang Lv, Yuan Chen, Jianhai Chen, Qinchen Gu, Chunming Wu:
V-Fuzz: Vulnerability-Oriented Evolutionary Fuzzing. - (Withdrawn) A unified framework of epidemic spreading prediction by empirical mode decomposition based ensemble learning techniques.
- David Yakira, Ido Grayevsky, Avi Asayag:
Rational Threshold Cryptosystems. - Vishal Kaushal, Rishabh K. Iyer, Suraj Kothawade, Rohan Mahadev, Khoshrav Doctor, Ganesh Ramakrishnan:
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision. - Vishal Kaushal, Rishabh K. Iyer, Khoshrav Doctor, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan:
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance. - Junghoon Kim, Bruno Clerckx, Paul D. Mitcheson:
Signal and System Design for Wireless Power Transfer : Prototype, Experiment and Validation. - Daniel Gruss, Erik Kraft, Trishita Tiwari, Michael Schwarz, Ari Trachtenberg, Jason Hennessey, Alex Ionescu, Anders Fogh:
Page Cache Attacks. - Rodrigo Rivera, M. Andrea Rodríguez, Diego Seco:
Faster and Smaller Two-Level Index for Network-based Trajectories. - Adi Rosén, Florent Urrutia:
A New Approach to Multi-Party Peer-to-Peer Communication Complexity. - Sajad Movahedi, Erfan Ghadery, Heshaam Faili, Azadeh Shakery:
Aspect Category Detection via Topic-Attention Network. - Aziz Mohaisen, Omar Alrawi, Jeman Park, Joongheon Kim, DaeHun Nyang, Manar Mohaisen:
Network-based Analysis and Classification of Malware using Behavioral Artifacts Ordering. - Ra'Fat Al-Msie'deen, Anas H. Blasi:
Supporting software documentation with source code summarization. - Jonnahtan Saltarin, Torsten Braun, Eirina Bourtsoulatze, Nikolaos Thomos:
PopNetCod: A Popularity-based Caching Policy for Network Coding enabled Named Data Networking. - Eduardo Fonseca, Manoj Plakal, Daniel P. W. Ellis, Frederic Font, Xavier Favory, Xavier Serra:
Learning Sound Event Classifiers from Web Audio with Noisy Labels. - Tomasz K. Konopczynski, Jitendra Rathore, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Simone Carmignato, Jürgen Hesser:
Reference Setup for Quantitative Comparison of Segmentation Techniques for Short Glass Fiber CT Data. - Tomasz K. Konopczynski, Danish Rathore, Jitendra Rathore, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Simone Carmignato, Jürgen Hesser:
Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans. - Fernando A. Morales, Jairo A. Martínez:
On the Implementation and Assessment of several Divide & Conquer Matheuristic Strategies for the solution of the Knapsack Problem. - Marc Tanti, Albert Gatt, Kenneth P. Camilleri:
Transfer learning from language models to image caption generators: Better models may not transfer better. - Yuxin Ren, Vlad Nitu, Guyue Liu, Gabriel Parmer, Timothy Wood, Alain Tchana, Riley Kennedy:
Efficient, Dynamic Multi-tenant Edge Computation in EdgeOS. - Xurong Li, Shouling Ji, Meng Han, Juntao Ji, Zhenyu Ren, Yushan Liu, Chunming Wu:
Adversarial Examples versus Cloud-based Detectors: A Black-box Empirical Study. - Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme:
Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. - Shusil Dangi, Ziv Yaniv, Cristian A. Linte:
A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation. - Ke Li, Jinyu Li, Yong Zhao, Kshitiz Kumar, Yifan Gong:
Speaker Adaptation for End-to-End CTC Models. - Shirui Pan, Ruiqi Hu, Sai-Fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang:
Learning Graph Embedding with Adversarial Training Methods. - Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, Peter F. Sturm:
Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits. - Prakruthi Karuna, Hemant Purohit, Vivian Motti:
UTPO: User's Trust Profile Ontology - Modeling trust towards Online Health Information Sources. - Berksan Serbetci, Ali Emre Pusane:
Practical Polar Code Construction Using Generalised Generator Matrices. - Rohan Choudhury, Gokul Swamy, Dylan Hadfield-Menell, Anca D. Dragan:
On the Utility of Model Learning in HRI. - Anastasia Mavridou, Aron Laszka, Emmanouela Stachtiari, Abhishek Dubey:
VeriSolid: Correct-by-Design Smart Contracts for Ethereum. - Roi Ceren:
Optimal Decision-Making in Mixed-Agent Partially Observable Stochastic Environments via Reinforcement Learning. - Mengsu Chen, Felix Fischer, Na Meng, Xiaoyin Wang, Jens Grossklags:
How Reliable is the Crowdsourced Knowledge of Security Implementation? - Hongyu Miao, Myeongjae Jeon, Gennady Pekhimenko, Kathryn S. McKinley, Felix Xiaozhu Lin:
StreamBox-HBM: Stream Analytics on High Bandwidth Hybrid Memory. - Carleton Coffrin, James Arnold, Stephan J. Eidenbenz, Derek Aberle, John Ambrosiano, Zachary K. Baker, Sara Brambilla, Michael J. Brown, K. Nolan Carter, Pinghan Chu, Patrick Conry, Keeley Costigan, Ariane Eberhardt, David M. Fobes, Adam Gausmann, Sean N. Harris, Donovan Heimer, Marlin Holmes, Bill Junor, Csaba Kiss, Steve Linger, Rodman R. Linn, Li-Ta Lo, Jonathan MacCarthy, Omar Marcillo, Clay McGinnis, Alexander McQuarters, Eric Michalak, Arvind T. Mohan, Matt Nelson, Diane Oyen, Nidhi Parikh, Donatella Pasqualini, Aaron S. Pope, Reid B. Porter, Chris Rawlings, Hannah Reinbolt, Reid D. Rivenburgh, Philip Romero, Kevin Schoonover, Alexei N. Skurikhin, Daniel R. Tauritz, Dima Tretiak, Zhehui Wang, James Wernicke, Brad Wolfe, Phillip Wolfram, Jonathan Woodring:
The ISTI Rapid Response on Exploring Cloud Computing 2018. - Elena Agostini, Massimo Bernaschi:
BitCracker: BitLocker meets GPUs. - Viacheslav Dubeyko:
File System in Data-Centric Computing. - Linas Vepstas:
Sheaves: A Topological Approach to Big Data. - Joseph Roth, Sourish Chaudhuri, Ondrej Klejch, Radhika Marvin, Andrew C. Gallagher, Liat Kaver, Sharadh Ramaswamy, Arkadiusz Stopczynski, Cordelia Schmid, Zhonghua Xi, Caroline Pantofaru:
AVA-ActiveSpeaker: An Audio-Visual Dataset for Active Speaker Detection. - Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Graph Neural Networks with convolutional ARMA filters. - Lloyd Montgomery, Emma Reading, Daniela E. Damian:
ECrits - Visualizing Support Ticket Escalation Risk. - Hooman Peiro Sajjad, Andrew Docherty, Yuriy Tyshetskiy:
Efficient Representation Learning Using Random Walks for Dynamic Graphs. - Hung Le, Truyen Tran, Svetha Venkatesh:
Learning to Remember More with Less Memorization. - Andre Gustavo Degraf Uchoa, Rodrigo C. de Lamare:
Coding Techniques for Future Wi-Fi. - Arya D. McCarthy, Tongfei Chen, Rachel Rudinger, David W. Matula:
Metrics matter in community detection. - Lin Zhou, Alfred O. Hero III:
Exponential Strong Converse for Successive Refinement with Causal Decoder Side Information. - Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama:
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization. - Ningning Wang, Xiaojin Gong:
Adaptive Fusion for RGB-D Salient Object Detection. - Jian Wang, Tianfan Xue, Jonathan T. Barron, Jiawen Chen:
Stereoscopic Dark Flash for Low-light Photography. - Vikram Saraph, Maurice Herlihy:
An Empirical Study of Speculative Concurrency in Ethereum Smart Contracts. - Qingbo Yin, Ehsan Adeli, Liran Shen, Dinggang Shen:
Population-Guided Large Margin Classifier for High-Dimension Low -Sample-Size Problems. - Enlu Lin, Qiong Chen, Xiaoming Qi:
Deep Reinforcement Learning for Imbalanced Classification. - Jiong Wu, Xiaoying Tang:
Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles. - Amir Abboud, Robert Krauthgamer, Ohad Trabelsi:
New Algorithms and Lower Bounds for All-Pairs Max-Flow in Undirected Graphs. - Dengxin Dai, Christos Sakaridis, Simon Hecker, Luc Van Gool:
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding. - Evripidis Tzamousis, Maria Papadopouli:
On hybrid modular recommendation systems for video streaming. - Golnoosh Garakani, Hamed Ghane, Mohammad Bagher Menhaj:
Control of a 2-DoF robotic arm using a P300-based brain-computer interface. - Ivan Ovinnikov:
Poincaré Wasserstein Autoencoder. - Imad Rida, Sambit Bakshi, Xiaojun Chang, Hugo Proença:
Forensic Shoe-print Identification: A Brief Survey. - Wenqiang Yi, Yuanwei Liu, Eliane L. Bodanese, Arumugam Nallanathan, George K. Karagiannidis:
A Unified Spatial Framework for UAV-aided MmWave Networks. - Danish Sattar, Ashraf Matrawy:
Towards Secure Slicing: Using Slice Isolation to Mitigate DDoS Attacks on 5G Core Network Slices. - Kevin M. Judd, Jonathan D. Gammell:
The Oxford Multimotion Dataset: Multiple SE(3) Motions with Ground Truth. - Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer. - Katarína Hrabovská, Bruno Rossi, Tomás Pitner:
Software Testing Process Models Benefits & Drawbacks: a Systematic Literature Review. - Hongming Li, Yong Fan:
Early Prediction of Alzheimer's Disease Dementia Based on Baseline Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent Neural Networks. - Nir Shlezinger, Or Dicker, Yonina C. Eldar, Insang Yoo, Mohammadreza F. Imani, David R. Smith:
Dynamic Metasurface Antennas for Uplink Massive MIMO Systems. - Usman Ahmad, Hong Song, Awais Bilal, Shahid Mahmood, Asad Ullah, Uzair Saeed:
Rethinking the Artificial Neural Networks: A Mesh of Subnets with a Central Mechanism for Storing and Predicting the Data. - Kevin Lin, David DeLiema:
Subgoals, Problem Solving Phases, and Sources of Knowledge: A Complex Mangle. - Stefan Ultes, Pawel Budzianowski, Iñigo Casanueva, Lina Maria Rojas-Barahona, Bo-Hsiang Tseng, Yen-Chen Wu, Steve J. Young, Milica Gasic:
Addressing Objects and Their Relations: The Conversational Entity Dialogue Model. - Yujuan Ding, Wai Keung Wong, Zhihui Lai, Zheng Zhang:
Bilinear Supervised Hashing Based on 2D Image Features. - Therese Biedl, Ahmad Biniaz, Veronika Irvine, Kshitij Jain, Philipp Kindermann, Anna Lubiw:
Maximum Matchings and Minimum Blocking Sets in Θ6-Graphs. - Isuru S. Godage, Robert J. Webster III, Ian D. Walker:
Center of Gravity-based Approach for Modeling Dynamics of Multisection Continuum Arms. - Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard S. Zemel:
LanczosNet: Multi-Scale Deep Graph Convolutional Networks. - Jun Hyung Shin, Florin Rusu, Alex Suhan:
Exact Selectivity Computation for Modern In-Memory Database Query Optimization. - Daniel Gordon, Dieter Fox, Ali Farhadi:
What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning. - Huayu Li:
Channel Locality Block: A Variant of Squeeze-and-Excitation. - Zheng Zhu, Qingbin Wang, Wei Zou, Feng Zhang:
Motion Control on Bionic Eyes: A Comprehensive Review. - Usman A. Fiaz, Jeff S. Shamma:
usBot: A Modular Robotic Testbed for Programmable Self-Assembly. - Xuezhe Ma, Chunting Zhou, Eduard H. Hovy:
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders. - Ryen Krusinga, Sohil Shah, Matthias Zwicker, Tom Goldstein, David W. Jacobs:
Understanding the (un)interpretability of natural image distributions using generative models. - Md Tarique Jamal Ansari, Dhirendra Pandey, Mamdouh Alenezi:
STORE: Security Threat Oriented Requirements Engineering Methodology. - Yuzhong Wu, Tan Lee:
Enhancing Sound Texture in CNN-Based Acoustic Scene Classification. - Karl Bringmann, Marvin Künnemann, André Nusser:
Walking the Dog Fast in Practice: Algorithm Engineering of the Fréchet Distance. - Qingkai Liang, Eytan H. Modiano:
Optimal Network Control in Partially-Controllable Networks. - Madanagopal Ramachandran, Krishna M. Sivalingam:
Path Computation for Provisioning in Multi-Technology Multi-Layer Transport Networks. - Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc Van Gool, Andreas Geiger:
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials. - Victor Talpaert, Ibrahim Sobh, B. Ravi Kiran, Patrick Mannion, Senthil Kumar Yogamani, Ahmad El Sallab, Patrick Pérez:
Exploring applications of deep reinforcement learning for real-world autonomous driving systems. - Andrea Arcuri:
RESTful API Automated Test Case Generation. - Andrea Arcuri:
Many Independent Objective (MIO) Algorithm for Test Suite Generation. - Zehua Cheng, Zhenghua Xu:
Bandwidth Reduction using Importance Weighted Pruning on Ring AllReduce. - Guojun Chen, Xianghong Lin, Guoen Wang:
An online supervised learning algorithm based on triple spikes for spiking neural networks. - Tariq Alshawi, Zhiling Long, Ghassan AlRegib:
Unsupervised uncertainty estimation using spatiotemporal cues in video saliency detection. - Shaodi Qian, Sheng-Che Yen, Eric Folmar, Chun-An Chou:
Self-Expressive Subspace Clustering to Recognize Motion Dynamics of a Multi-Joint Coordination for Chronic Ankle Instability. - Tomasz K. Konopczynski, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Jürgen Hesser:
Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images. - Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Kejun Huang:
Learning Nonlinear Mixtures: Identifiability and Algorithm. - Songyao Jiang, Zhiqiang Tao, Yun Fu:
Segmentation Guided Image-to-Image Translation with Adversarial Networks. - Ziyu Wan, Dongdong Chen, Yan Li, Xingguang Yan, Junge Zhang, Yizhou Yu, Jing Liao:
Transductive Zero-Shot Learning with Visual Structure Constraint. - Elie Najm, Emre Telatar, Rajai Nasser:
Optimal Age over Erasure Channels. - Yunsu Kim, Andreas Guta, Joern Wuebker, Hermann Ney:
A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing. - Jeffery Kinnison, Mateusz Trokielewicz, Camila Carballo, Adam Czajka, Walter J. Scheirer:
Learning-Free Iris Segmentation Revisited: A First Step Toward Fast Volumetric Operation Over Video Samples. - Nathalie Cauchi, Luca Laurenti, Morteza Lahijanian, Alessandro Abate, Marta Kwiatkowska, Luca Cardelli:
Efficiency through Uncertainty: Scalable Formal Synthesis for Stochastic Hybrid Systems. - Yunsu Kim, Julian Schamper, Hermann Ney:
Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes. - Suraj Mishra, Peixian Liang, Adam Czajka, Danny Z. Chen, Xiaobo Sharon Hu:
CC-Net: Image Complexity Guided Network Compression for Biomedical Image Segmentation. - W. W. N. C. K. Palagolla, A. P. R. Wickramarachchi:
Promoting effective application and management of ICT to enhance performance in secondary schools. - Yue Zhao, Zain Nasrullah, Zheng Li:
PyOD: A Python Toolbox for Scalable Outlier Detection. - Yunsu Kim, Jiahui Geng, Hermann Ney:
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder. - Luka Gligic, Andrey Kormilitzin, Paul Goldberg, Alejo J. Nevado-Holgado:
Named Entity Recognition in Electronic Health Records Using Transfer Learning Bootstrapped Neural Networks. - Saeed Valizadeh, Marten van Dijk:
Toward a Theory of Cyber Attacks. - Maria Plakia, Evripides Tzamousis, Thomais Asvestopoulou, Giorgos Pantermakis, Nick Filippakis, Henning Schulzrinne, Yana Kane-Esrig, Maria Papadopouli:
Should I stay or should I go: Analysis of the impact of application QoS on user engagement in YouTube. - Yiwei Zhang, Eitan Yaakobi, Tuvi Etzion:
Bounds on the Length of Functional PIR and Batch codes. - Pierre-Henri Conze, Sylvain Brochard, Valérie Burdin, Frances T. Sheehan, Christelle Pons:
Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders. - Derek M. Jones, Stephen Cullum:
A conversation around the analysis of the SiP effort estimation dataset. - Jian-Jian Weng, Fady Alajaji, Tamás Linder:
Joint Source-Channel Coding for the Transmission of Correlated Sources over Two-Way Channels. - Shin-Yeh Tsai, Yiying Zhang:
Building Atomic, Crash-Consistent Data Stores with Disaggregated Persistent Memory. - Amir Abboud, Keren Censor-Hillel, Seri Khoury, Ami Paz:
Smaller Cuts, Higher Lower Bounds. - Richard Y. Zhang, Somayeh Sojoudi, Javad Lavaei:
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery. - Ke Liu, Shin-Yeh Tsai, Yiying Zhang:
ATP: a Datacenter Approximate Transmission Protocol. - Quan Yuan, Junxia Li, Lingwei Zhang, Zhefu Wu, Guangyu Liu:
Blind Motion Deblurring with Cycle Generative Adversarial Networks. - Jovelyn C. Cuizon, Jesserine Lopez, Danica Rose Jones:
Text Mining Customer Reviews For Aspect-based Restaurant Rating. - Guohao Ying, Yingtian Zou, Lin Wan, Yiming Hu, Jiashi Feng:
Better Guider Predicts Future Better: Difference Guided Generative Adversarial Networks. - Gary P. T. Choi, Hei Long Chan, Robin Yong, Sarbin Ranjitkar, Alan Brook, Grant Townsend, Ke Chen, Lok Ming Lui:
Tooth morphometry using quasi-conformal theory. - Longhao Yuan, Chao Li, Jianting Cao, Qibin Zhao:
Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction. - Xuan He, Kui Cai, Wentu Song, Zhen Mei:
Dynamic Programming for Discrete Memoryless Channel Quantization. - Zhipeng Zhang, Houwen Peng, Qiang Wang:
Deeper and Wider Siamese Networks for Real-Time Visual Tracking. - Giulia Fanti, Nina Holden, Yuval Peres, Gireeja Ranade:
Communication cost of consensus for nodes with limited memory. - Vaishnavh Nagarajan, J. Zico Kolter:
Generalization in Deep Networks: The Role of Distance from Initialization. - Aamir Mustafa, Salman H. Khan, Munawar Hayat, Jianbing Shen, Ling Shao:
Image Super-Resolution as a Defense Against Adversarial Attacks. - Fayyaz ul Amir Afsar Minhas, Amina Asif, Asa Ben-Hur:
Ten ways to fool the masses with machine learning. - Karol Grzegorczyk:
Vector representations of text data in deep learning. - Baoyuan Wu, Weidong Chen, Yanbo Fan, Yong Zhang, Jinlong Hou, Jie Liu, Junzhou Huang, Wei Liu, Tong Zhang:
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning. - Roberto Doriguzzi Corin, Sandra Scott-Hayward, Domenico Siracusa, Marco Savi, Elio Salvadori:
Dynamic and Application-Aware Provisioning of Chained Virtual Security Network Functions. - Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Universal Deep Beamformer for Variable Rate Ultrasound Imaging. - Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz:
Post-mortem Iris Recognition with Deep-Learning-based Image Segmentation. - Yoshitaka Yamamoto, Yasuo Tabei, Koji Iwanuma:
Approximate-Closed-Itemset Mining for Streaming Data Under Resource Constraint. - Shengke Xue, Wenyuan Qiu, Fan Liu, Xinyu Jin:
Double Weighted Truncated Nuclear Norm Regularization for Low-Rank Matrix Completion. - Xiao Shen, Fu-Lai Chung:
Deep Network Embedding for Graph Representation Learning in Signed Networks. - Libo Li, Stefan Lessmann, Bart Baesens:
Evaluating software defect prediction performance: an updated benchmarking study. - Wil O. C. Ward, Mauricio A. Álvarez:
Variational bridge constructs for approximate Gaussian process regression. - Justin P. Coon, Mihai-Alin Badiu, Ye Liu, Ferhat Yarkin, Shuping Dang:
Binary-Tree Encoding for Uniform Binary Sources in Index Modulation Systems. - Morteza Varasteh, Borzoo Rassouli, Bruno Clerckx:
SWIPT Signalling over Frequency-Selective Channels with a Nonlinear Energy Harvester: Non-Zero Mean and Asymmetric Inputs. - Loreto Pescosolido, Marco Conti, Andrea Passarella:
D2D Data Offloading in Vehicular Environments with Optimal Delivery Time Selection. - Adriano S. Koshiyama, Nick Firoozye, Philip C. Treleaven:
Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination. - Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley:
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions. - Mathias Morbitzer, Manuel Huber, Julian Horsch:
Extracting Secrets from Encrypted Virtual Machines. - Hong Zhang, Hao Ouyang, Shu Liu, Xiaojuan Qi, Xiaoyong Shen, Ruigang Yang, Jiaya Jia:
Human Pose Estimation with Spatial Contextual Information. - Théophane Weber, Nicolas Heess, Lars Buesing, David Silver:
Credit Assignment Techniques in Stochastic Computation Graphs. - Ali Gholami Rudi:
Approximate Discontinuous Trajectory Hotspots. - Jian Wen, Xuebo Zhang, Haiming Gao, Jing Yuan, Yongchun Fang:
CAE-RLSM: Consistent and Efficient Redundant Line Segment Merging for Online Feature Map Building. - Mansoor Ahmed-Rengers, Ilia Shumailov, Ross Anderson:
Tendrils of Crime: Visualizing the Diffusion of Stolen Bitcoins. - Guangliang Gao, Zhifeng Bao, Jie Cao, A. Kai Qin, Timos Sellis, Zhiang Wu:
Location-Centered House Price Prediction: A Multi-Task Learning Approach. - Niklas Kochdumper, Matthias Althoff:
Sparse Polynomial Zonotopes: A Novel Set Representation for Reachability Analysis. - Faizal M. F. Hafiz, Akshya Swain, Eduardo Mazoni Andrade Marçal Mendes:
Orthogonal Floating Search Algorithms: From The Perspective of Nonlinear System Identification. - Zdenek Dvorák:
Baker game and polynomial-time approximation schemes. - Jian Vora:
Stochastic Approximation Algorithms for Principal Component Analysis. - Panagiotis Paraskevas Filntisis, Niki Efthymiou, Petros Koutras, Gerasimos Potamianos, Petros Maragos:
Fusing Body Posture with Facial Expressions for Joint Recognition of Affect in Child-Robot Interaction. - Zimin Chen, Steve Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, Martin Monperrus:
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair. - Emmanouil Kolezakis:
An ERP Implementation Method : Studying a Pharmaceutical Company. - Tor Kristian Veld, John Krogstie:
Information Systems Development and Evolution: A replication study on work distribution in Norwegian Organizations. - Varun Mathur:
Literature Review: Smart Contract Semantics. - Qingnan Sun, Marko V. Jankovic, João Budzinski, Brett L. Moore, Peter Diem, Christoph Stettler, Stavroula G. Mougiakakou:
A dual mode adaptive basal-bolus advisor based on reinforcement learning. - Luiz Fernando Capretz, Faheem Ahmed:
A Call to Promote Soft Skills in Software Engineering. - Zineb Mcharfi, Bouchra El Asri, Abdelaziz Kriouile:
A Systematic Review of Tracing Solutions in Software Product Lines. - Jia-Chen Gu, Zhen-Hua Ling, Quan Liu:
Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. - Francesco Concas, Pengfei Xu, Mohammad Ashraful Hoque, Jiaheng Lu, Sasu Tarkoma:
Multiple Set Matching and Pre-Filtering with Bloom Multifilters. - Elias Alevizos, Alexander Artikis, Georgios Paliouras:
Wayeb: a Tool for Complex Event Forecasting. - Christophe Lecoutre, Olivier Roussel:
Proceedings of the 2018 XCSP3 Competition. - Mihir Jain, Kyle Brown, Ahmed K. Sadek:
Multi-Fidelity Recursive Behavior Prediction. - Bao-Gang Hu, Weiming Dong:
"Ge Shu Zhi Zhi": Towards Deep Understanding about Worlds. - Robert Leppert, Karl-Heinz Zimmermann:
Inference in Graded Bayesian Networks. - Roberto Gerson de Albuquerque Azevedo, Neil Birkbeck, Francesca De Simone, Ivan Janatra, Balu Adsumilli, Pascal Frossard:
Visual Distortions in 360-degree Videos. - Roman V. Yampolskiy:
Personal Universes: A Solution to the Multi-Agent Value Alignment Problem. - Qiaobin Kuang, Jie Gong, Xiang Chen, Xiao Ma:
Age-of-Information for Computation-Intensive Messages in Mobile Edge Computing. - (Withdrawn) A* Tree Search for Portfolio Management.
- Krishn Bera, Tejas Savalia, S. Bapi Raju:
A Computational Framework for Motor Skill Acquisition. - Sean T. Yang, Kuan-Hao Huang, Bill Howe:
MultiDEC: Multi-Modal Clustering of Image-Caption Pairs. - Esther Galby, Paloma T. Lima, Daniël Paulusma, Bernard Ries:
On the Parameterized Complexity of k-Edge Colouring. - Viet-Hoang Tran, Olivier Bonaventure:
Beyond socket options: making the Linux TCP stack truly extensible. - Robert Laddaga, Paul Robertson, Howard E. Shrobe, Dan Cerys, Prakash Manghwani, Patrik Meijer:
Deriving Cyber-security Requirements for Cyber Physical Systems. - Frederik Pahde, Mihai Marian Puscas, Jannik Wolff, Tassilo Klein, Nicu Sebe, Moin Nabi:
Low-Shot Learning from Imaginary 3D Model. - Dennis Rohde:
Coresets for (k, l)-Clustering under the Fréchet Distance. - Yifei Huang, Zhenqiang Li, Minjie Cai, Yoichi Sato:
Mutual Context Network for Jointly Estimating Egocentric Gaze and Actions. - Siyao Li, Daniela Tuninetti, Natasha Devroye:
On the Capacity Region of the Layered Packet Erasure Broadcast Channel with Feedback. - Xu Chen, Jie Song, Otmar Hilliges:
NVS Machines: Learning Novel View Synthesis with Fine-grained View Control. - Chanaka Lakmal, Sachithra Dangalla, Chandu Herath, Chamin Wickramarathna, Gihan Dias, Shantha Fernando:
IDStack - The Common Protocol for Document Verification built on Digital Signatures. - Yanghao Li, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang:
Scale-Aware Trident Networks for Object Detection. - Nicola di Pietro, Mattia Merluzzi, Emilio Calvanese Strinati, Sergio Barbarossa:
Resilient Design of 5G Mobile-Edge Computing Over Intermittent mmWave Links. - Petar Maymounkov:
Koji: Automating pipelines with mixed-semantics data sources. - Shahbaz Ali, Hailong Sun, Yongwang Zhao:
Model Learning: A Survey on Foundation, Tools and Applications. - Endang Wahyu Pamungkas, Valerio Basile, Viviana Patti:
Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure. - Yuqian Zhang, Yenson Lau, Han-Wen Kuo, Sky Cheung, Abhay Pasupathy, John Wright:
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution. - Jason R. C. Nurse, Maria Bada:
The Group Element of Cybercrime: Types, Dynamics, and Criminal Operations. - Daniel Dietsch, Matthias Heizmann, Jochen Hoenicke, Alexander Nutz, Andreas Podelski:
Different Maps for Different Uses. A Program Transformation for Intermediate Verification Languages. - Rui Chen, Christos G. Cassandras:
Optimization of Ride Sharing Systems Using Event-driven Receding Horizon Control. - Evan M. Peck, Sofia E. Ayuso, Omar El-Etr:
Data is Personal: Attitudes and Perceptions of Data Visualization in Rural Pennsylvania. - Grzegorz Guspiel:
An in-place, subquadratic algorithm for permutation inversion. - Marcelo Gennari, Roger Fawcett, Victor Adrian Prisacariu:
DSConv: Efficient Convolution Operator. - Joseph M. Hellerstein, Peter Alvaro:
Keeping CALM: When Distributed Consistency is Easy. - Amirsina Torfi, Rouzbeh A. Shirvani, Sobhan Soleymani, Nasser M. Nasrabadi:
GASL: Guided Attention for Sparsity Learning in Deep Neural Networks. - Pooja Vyavahare, Lili Su, Nitin H. Vaidya:
Distributed Learning with Adversarial Agents Under Relaxed Network Condition. - Nataly Cruces, Diego Seco, Gilberto Gutiérrez:
A Compact Representation of Raster Time Series. - Qian Feng, Sing Kiong Nguang:
Dissipative Stabilization for Linear Systems with Time-Varying General Distributed Delays. - Lingchuan Meng, John Brothers:
Efficient Winograd Convolution via Integer Arithmetic. - Julian Marcon, Joaquim Peiró, David Moxey, Nico Bergemann, Henry Bucklow, Mark Gammon:
A semi-structured approach to curvilinear mesh generation around streamlined bodies. - Wenqi Lu, Jinming Duan, David Orive-Miguel, Lionel Hervé, Iain B. Styles:
Graph- and finite element-based total variation models for the inverse problem in diffuse optical tomography. - José Cláudio do Nascimento:
Decision-making and Fuzzy Temporal Logic. - Zhe Cao, Abhishek Kar, Christian Häne, Jitendra Malik:
Learning Independent Object Motion from Unlabelled Stereoscopic Videos. - Joseph M. Hellerstein:
Looking Back at Postgres. - Shoubhik Debnath, Gaurav S. Sukhatme, Lantao Liu:
Accelerating Goal-Directed Reinforcement Learning by Model Characterization. - Ke Ma, P. R. Kumar:
Incentive Compatibility in Stochastic Dynamic Systems. - Shi Yin, Zhengqiang Zhang, Hongming Li, Qinmu Peng, Xinge You, Susan L. Furth, Gregory E. Tasian, Yong Fan:
Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network. - Donghyeon Han, Hoi-Jun Yoo:
Efficient Convolutional Neural Network Training with Direct Feedback Alignment. - Fernando J. Corbacho:
Towards Self-constructive Artificial Intelligence: Algorithmic basis (Part I). - Vincent Liu, Ademi Adeniji, Nathaniel Lee, Jason Zhao, Mario Srouji:
Recurrent Control Nets for Deep Reinforcement Learning. - Shengke Xue, Wenyuan Qiu, Fan Liu, Xinyu Jin:
Truncated nuclear norm regularization for low-rank tensor completion. - Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Vasileios Belagiannis, Sikandar Amin, Alessio Del Bue, Marco Cristani, Fabio Galasso:
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets. - Mohsen Ahmadi Fahandar, Eyke Hüllermeier:
Analogy-Based Preference Learning with Kernels. - Raul Gomez, Lluís Gómez, Jaume Gibert, Dimosthenis Karatzas:
Self-Supervised Learning from Web Data for Multimodal Retrieval. - B. R. Vinay Kumar, Roshan Antony, Navin Kashyap:
The Effect of Introducing Redundancy in a Probabilistic Forwarding Protocol. - Roi Ceren, Shannon Quinn, Glen Raines:
Towards a Decentralized, Autonomous Multiagent Framework for Mitigating Crop Loss. - Tanmay Randhavane, Aniket Bera, Emily Kubin, Kurt Gray, Dinesh Manocha:
Modeling Data-Driven Dominance Traits for Virtual Characters using Gait Analysis. - Chiyu Max Jiang, Jingwei Huang, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Nießner:
Spherical CNNs on Unstructured Grids. - Yunxi Xiong, Yuankai Huo, Jiachen Wang, Larry Taylor Davis, Maureen McHugo, Bennett A. Landman:
Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols. - Mehrdad Tahmasbi, Matthieu R. Bloch:
Covert Secret Key Generation with an Active Warden. - Virag Shah, Jose H. Blanchet, Ramesh Johari:
Semi-parametric dynamic contextual pricing. - Hui Jiang:
A New Perspective on Machine Learning: How to do Perfect Supervised Learning. - Guilherme Damasio, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Alexandar Mihaylov, Jaroslaw Szlichta, Calisto Zuzarte:
Guided Automated Learning for query workload re-Optimization. - Sangwook Park, David K. Han, Hanseok Ko:
Sinusoidal wave generating network based on adversarial learning and its application: synthesizing frog sounds for data augmentation. - Honghui Du, Leandro L. Minku, Huiyu Zhou:
Multi-Source Transfer Learning for Non-Stationary Environments. - Anish Acharya:
Detecting the Trend in Musical Taste over the Decade - A Novel Feature Extraction Algorithm to Classify Musical Content with Simple Features. - Cédric Lopez, Molka Dhouib, Elena Cabrio, Catherine Faron-Zucker, Fabien Gandon, Frédérique Segond:
SMILK, linking natural language and data from the web. - Hideo Hirose:
Prediction of Success or Failure for Final Examination using Nearest Neighbor Method to the Trend of Weekly Online Testing. - Ye Yuan, Guijun Ma, Cheng Cheng, Beitong Zhou, Huan Zhao, Hai-Tao Zhang, Han Ding:
Artificial Intelligent Diagnosis and Monitoring in Manufacturing. - Morteza Haghir Chehreghani:
Reliable Agglomerative Clustering. - Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar:
Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks. - Linghao Song, Jiachen Mao, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen:
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array. - Chiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Nießner:
Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation. - Umberto Martínez-Peñas, Diego Napp:
Locally Repairable Convolutional Codes with Sliding Window Repair. - Claudio Menghi, Christos Tsigkanos, Patrizio Pelliccione, Carlo Ghezzi, Thorsten Berger:
Specification Patterns for Robotic Missions. - Stephen Phillips, Kostas Daniilidis:
All Graphs Lead to Rome: Learning Geometric and Cycle-Consistent Representations with Graph Convolutional Networks. - Artur Nowak, Pawel Kunstman:
Team EP at TAC 2018: Automating data extraction in systematic reviews of environmental agents. - Ge Chen, Wei Su, Wenjun Mei, Francesco Bullo:
Convergence Properties of the Heterogeneous Deffuant-Weisbuch Model. - Jiahao Ding, Yanmin Gong, Miao Pan, Zhu Han:
Optimal Differentially Private ADMM for Distributed Machine Learning. - Sayak Mukherjee, Aranya Chakrabortty, Saman Babaei:
Modeling and Quantifying the Impact of Wind Power Penetration on Power System Coherency. - Maxim Naumov:
On the Dimensionality of Embeddings for Sparse Features and Data. - Philip M. Long, Hanie Sedghi:
On the effect of the activation function on the distribution of hidden nodes in a deep network. - Sofia Broomé, Karina Bech Gleerup, Pia Haubro Andersen, Hedvig Kjellström:
Dynamics are Important for the Recognition of Equine Pain in Video. - Maryam Mohseni, S. Alireza Banani, Andrew W. Eckford, Raviraj S. Adve:
Scheduling for VoLTE: Resource Allocation Optimization and Low-Complexity Algorithms. - Yixue Hao, Yiming Miao, Yuanwen Tian, Long Hu, M. Shamim Hossain, Ghulam Muhammad, Syed Umar Amin:
Smart-Edge-CoCaCo: AI-Enabled Smart Edge with Joint Computation, Caching, and Communication in Heterogeneous IoT. - Jiecao Yu, Jongsoo Park, Maxim Naumov:
Spatial-Winograd Pruning Enabling Sparse Winograd Convolution. - Abhishek Sehgal, Nasser Kehtarnavaz:
Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps. - Yu Song, Shengping Gong:
Solar-Sail Deep Space Trajectory Optimization Using Successive Convex Programming. - Sachithra Dangalla, Chanaka Lakmal, Chamin Wickramarathna, Chandu Herath, Gihan Dias, Shantha Fernando:
Measuring the Correlation of Personal Identity Documents in Structured Format. - Ahmet Faruk Cakmak, Muhammet Balcilar:
Audio Captcha Recognition Using RastaPLP Features by SVM. - Yueru Chen, Yijing Yang, Wei Wang, C.-C. Jay Kuo:
Ensembles of feedforward-designed convolutional neural networks. - Sourav Medya, Arlei Silva, Ambuj K. Singh:
Influence Minimization Under Budget and Matroid Constraints: Extended Version. - Daniel S. Brown, Yuchen Cui, Scott Niekum:
Risk-Aware Active Inverse Reinforcement Learning. - Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh:
K-Core Minimization: A Game Theoretic Approach. - Yu Song, Shengping Gong:
Solar-Sail Trajectory Design of Multiple Near Earth Asteroids Exploration Based on Deep Neural Network. - Qisheng Wang, Junyi Liu, Mingsheng Ying:
Equivalence Checking of Quantum Finite-State Machines. - Vishrant Tripathi, Rajat Talak, Eytan H. Modiano:
Age Optimal Information Gathering and Dissemination on Graphs. - Zenan Ling, Haotian Ma, Yu Yang, Robert C. Qiu, Song-Chun Zhu, Quanshi Zhang:
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks. - Anh T. Pham, Shalini Ghosh, Vinod Yegneswaran:
Data Masking with Privacy Guarantees. - Karthika Venkatesan, Sujit Kumar Chakrabarti:
StaBL - State Based Language for Specification of Web Applications. - Yu Huang, Hengfeng Wei, Maosen Huang, Lingzhi Ouyang:
Inversion-based Measurement of Data Consistency for Read/Write Registers. - Dietrich Kuske, Georg Zetzsche:
Languages ordered by the subword order. - Gilad Ostrin, Jérémy Frey, Jessica R. Cauchard:
Interactive Narrative in Virtual Reality. - Louis Clouâtre, Marc Demers:
FIGR: Few-shot Image Generation with Reptile. - Kaixuan Long, Chencheng Ye, Ying Cui, Zhi Liu:
Optimal Multi-Quality Multicast for 360 Virtual Reality Video. - Geevarghese Philip, Varun Rajan, Saket Saurabh, Prafullkumar Tale:
Subset Feedback Vertex Set in Chordal and Split Graphs. - Umur Aybars Ciftci, Ilke Demir:
FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals. - Roman Blum, Thomas Bocek:
Superlight - A Permissionless, Light-client Only Blockchain with Self-Contained Proofs and BLS Signatures. - Andreas Sedlmeier, Thomas Gabor, Thomy Phan, Lenz Belzner, Claudia Linnhoff-Popien:
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning. - Philipp Grohs, Dmytro Perekrestenko, Dennis Elbrächter, Helmut Bölcskei:
Deep Neural Network Approximation Theory. - Christian A. Söldner, Eileen Socher, Vahid Jamali, Wayan Wicke, Arman Ahmadzadeh, Hans-Georg Breitinger, Andreas Burkovski, Robert Schober, Heinrich Sticht:
A Survey of Biological Building Blocks for Synthetic Molecular Communication Systems. - Chunhua Liu, Shan Jiang, Hainan Yu, Dong Yu:
Multi-turn Inference Matching Network for Natural Language Inference. - Krishna Kanth Nakka, Mathieu Salzmann:
Interpretable BoW Networks for Adversarial Example Detection. - Laurent Orseau, Tor Lattimore, Shane Legg:
Soft-Bayes: Prod for Mixtures of Experts with Log-Loss. - Xin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang:
3D Object Detection Using Scale Invariant and Feature Reweighting Networks. - Alexandros Koliousis, Pijika Watcharapichat, Matthias Weidlich, Luo Mai, Paolo Costa, Peter R. Pietzuch:
CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers. - Chunhua Liu, Haiou Zhang, Shan Jiang, Dong Yu:
DEMN: Distilled-Exposition Enhanced Matching Network for Story Comprehension. - Ibtissam El Hassani, Choumicha El Mazgualdi, Tawfik Masrour:
Artificial Intelligence and Machine Learning to Predict and Improve Efficiency in Manufacturing Industry. - Chunhua Liu, Yan Zhao, Qingyi Si, Haiou Zhang, Bohan Li, Dong Yu:
Multi-Perspective Fusion Network for Commonsense Reading Comprehension. - Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano, Junji Tomita:
Multi-style Generative Reading Comprehension. - Sandhya Tripathi, Nandyala Hemachandra:
Cost Sensitive Learning in the Presence of Symmetric Label Noise. - Thach V. Bui, Minoru Kuribayashi, Mahdi Cheraghchi, Isao Echizen:
Improved encoding and decoding for non-adaptive threshold group testing. - Xu Chen, Jie Song, Otmar Hilliges:
Unpaired Pose Guided Human Image Generation. - Min Jang, Seok-Ki Ahn, Hongsil Jeong, Kyung-Joong Kim, Seho Myung, Sang-Hyo Kim, Kyeongcheol Yang:
Rate matching for polar codes based on binary domination. - Séverine Affeldt, Lazhar Labiod, Mohamed Nadif:
Spectral Clustering via Ensemble Deep Autoencoder Learning (SC-EDAE). - Andres Ferraro, Dmitry Bogdanov, Kyumin Choi, Xavier Serra:
Using offline metrics and user behavior analysis to combine multiple systems for music recommendation. - Benjamin Sliwa, Stefan Falten, Christian Wietfeld:
Performance Evaluation and Optimization of B.A.T.M.A.N. V Routing for Aerial and Ground-based Mobile Ad-hoc Networks. - Anna Sergeevna Bosman, Andries P. Engelbrecht, Mardé Helbig:
Visualising Basins of Attraction for the Cross-Entropy and the Squared Error Neural Network Loss Functions. - Kishan Prudhvi Guddanti, Amarsagar Reddy Ramapuram Matavalam, Yang Weng:
Analytically Exact Distributed Voltage Stability Index based on Power Flow Circles. - Evgenii Vinogradov, Hazem Sallouha, Sibren De Bast, Mohammad Mahdi Azari, Sofie Pollin:
Tutorial on UAV: A Blue Sky View on Wireless Communication. - Nikhil Bhargava, Brian C. Williams:
Complexity Bounds for the Controllability of Temporal Networks with Conditions, Disjunctions, and Uncertainty. - Kae-An Liu, Hans-Dieter Lang, Costas D. Sarris:
Computation of High-Order Electromagnetic Field Derivatives with FDTD and the Complex-Step Derivative Approximation. - Zhengkun Yi, Cheng Li:
Anti-drift in electronic nose via dimensionality reduction: a discriminative subspace projection approach. - Philipp Blandfort, Tushar Karayil, Federico Raue, Jörn Hees, Andreas Dengel:
Fusion Strategies for Learning User Embeddings with Neural Networks. - Maryam Jaberi, Marianna Pensky, Hassan Foroosh:
Sparse One-Time Grab Sampling of Inliers. - Seung-Geon Lee, Jaedeok Kim, Hyun-Joo Jung, Yoonsuck Choe:
Comparing Sample-wise Learnability Across Deep Neural Network Models. - Yundong Zhang, Xiang Xu, Xiaotao Liu:
Robust and High Performance Face Detector. - Huibing Wang, Haohao Li, Xianping Fu:
Auto-weighted Mutli-view Sparse Reconstructive Embedding. - Keith M. Smith:
On neighbourhood degree sequences of complex networks. - Xiao Dong, Ling Zhou:
Geometrization of deep networks for the interpretability of deep learning systems. - Yang Deng, Yao Sun, Yongpei Zhu, Yue Xu, Qianxi Yang, Shuo Zhang, Mingwang Zhu, Jirang Sun, Weiling Zhao, Xiaobo Zhou, Kehong Yuan:
Efforts estimation of doctors annotating medical image. - Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma:
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network. - Shantanu Shahane, Narayana R. Aluru, Placid M. Ferreira, Shiv G. Kapoor, Surya Pratap Vanka:
Genetic Algorithm based Multi-Objective Optimization of Solidification in Die Casting using Deep Neural Network as Surrogate Model. - Dharmesh Tailor, Dario Izzo:
Learning the optimal state-feedback via supervised imitation learning. - Shen Wang, Ahmad F. Taha, Jianhui Wang, Karla Kvaternik, Adam Hahn:
Energy Crowdsourcing and Peer-to-Peer Energy Trading in Blockchain-Enabled Smart Grids. - Suman K. Bera, Deeparnab Chakrabarty, Maryam Negahbani:
Fair Algorithms for Clustering. - Sarah E. Anderson, Ann Johnston, Gauri Joshi, Gretchen L. Matthews, Carolyn Mayer, Emina Soljanin:
Service Rate Region of Content Access from Erasure Coded Storage. - Jamie Hayes, Olga Ohrimenko:
Contamination Attacks and Mitigation in Multi-Party Machine Learning. - Ori Bar El, Ori Licht, Netanel Yosephian:
GILT: Generating Images from Long Text. - Ranjan Mondal, Pulak Purkait, Sanchayan Santra, Bhabatosh Chanda:
Morphological Networks for Image De-raining. - Ritwik Sinha, Dhruv Singal, Pranav Maneriker, Kushal Chawla, Yash Shrivastava, Deepak Pai, Atanu R. Sinha:
Forecasting Granular Audience Size for Online Advertising. - Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu:
Interpretable CNNs. - Nitish K. Panigrahy, Prithwish Basu, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung:
A queueing-theoretic model for resource allocation in one-dimensional distributed service network. - Ramtin Zand, Ronald F. DeMara:
SNRA: A Spintronic Neuromorphic Reconfigurable Array for In-Circuit Training and Evaluation of Deep Belief Networks. - Sen Jia, Neil D. B. Bruce:
Richer and Deeper Supervision Network for Salient Object Detection. - Florian Kammüller, Oladapo O. Ogunyanwo, Christian W. Probst:
Designing Data Protection for GDPR Compliance into IoT Healthcare Systems. - Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian:
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. - Liyao Gao, Zehua Cheng:
Learning with Collaborative Neural Network Group by Reflection. - Sergij V. Goncharov:
Using fuzzy bits and neural networks to partially invert few rounds of some cryptographic hash functions. - Alkida Balliu, Sebastian Brandt, Juho Hirvonen, Dennis Olivetti, Mikaël Rabie, Jukka Suomela:
Lower bounds for maximal matchings and maximal independent sets. - Joseph L. Betthauser, John T. Krall, Rahul R. Kaliki, Matthew S. Fifer, Nitish V. Thakor:
Stable Electromyographic Sequence Prediction During Movement Transitions using Temporal Convolutional Networks. - Yi-Wen Chen, Yi-Hsuan Tsai, Chu-Ya Yang, Yen-Yu Lin, Ming-Hsuan Yang:
Unseen Object Segmentation in Videos via Transferable Representations. - Alexander Kirillov, Ross B. Girshick, Kaiming He, Piotr Dollár:
Panoptic Feature Pyramid Networks. - Houssam-Eddine Zahaf, Nicola Capodieci, Roberto Cavicchioli, Marko Bertogna, Giuseppe Lipari:
A C-DAG task model for scheduling complex real-time tasks on heterogeneous platforms: preemption matters. - Yang Li, Sangwhan Cha:
Face Recognition System. - Soumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu, David W. Jacobs, Jan Kautz:
Neural Inverse Rendering of an Indoor Scene from a Single Image. - Kwang-Sung Jun, Rebecca Willett, Stephen J. Wright, Robert D. Nowak:
Bilinear Bandits with Low-rank Structure. - Alexia Jolicoeur-Martineau:
On Relativistic f-Divergences. - Lorenzo Frigerio, Anderson Santana de Oliveira, Laurent Gomez, Patrick Duverger:
Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data. - Victor Makarenkov, Lior Rokach, Bracha Shapira:
Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems. - Dekel Tsur:
Faster parameterized algorithm for pumpkin vertex deletion set. - Andrés Estrella Terneux, Damián Nicolalde, Daniel Nicolalde, Andrés Merino-Viteri:
Presence-absence estimation in audio recordings of tropical frog communities. - Da Ma, Manuel Jorge Cardoso, Maria A. Zuluaga, Marc Modat, Nick M. Powell, Frances K. Wiseman, Victor L. J. Tybulewicz, Elizabeth M. C. Fisher, Mark F. Lythgoe, Sébastien Ourselin:
Grey matter sublayer thickness estimation in themouse cerebellum. - Fereshteh S. Bashiri, Reihaneh Rostami, Peggy L. Peissig, Roshan M. D'Souza, Zeyun Yu:
An Application of Manifold Learning in Global Shape Descriptors. - Sawsen Ben Nasr:
New approach for a stable multi-criteria ridesharing system. - Ganesh Sistu, Sumanth Chennupati, Senthil Kumar Yogamani:
Multi-stream CNN based Video Semantic Segmentation for Automated Driving. - Stephanie Ger, Diego Klabjan:
Autoencoders and Generative Adversarial Networks for Anomaly Detection for Sequences. - Daniel Khashabi, Erfan Sadeqi Azer, Tushar Khot, Ashish Sabharwal, Dan Roth:
On the Capabilities and Limitations of Reasoning for Natural Language Understanding. - Diego A. Mesa, Rui Ma, Siva K. Gorantla, Todd P. Coleman:
Construction and Analysis of Posterior Matching in Arbitrary Dimensions via Optimal Transport. - Dong Huk Park, Trevor Darrell, Anna Rohrbach:
Viewpoint Invariant Change Captioning. - Xuan Thanh Nguyen, Thi Duyen Ngo, Thanh Ha Lê:
A Spatial-temporal 3D Human Pose Reconstruction Framework. - Xiaohu Lu, Yahui Liu, Kai Li:
Fast 3D Line Segment Detection From Unorganized Point Cloud. - Nicolas Harrand, Simon Allier, Marcelino Rodriguez-Cancio, Martin Monperrus, Benoit Baudry:
A Journey Among Java Neutral Program Variants. - Christopher Malon:
Team Papelo: Transformer Networks at FEVER. - Chris Umans:
Fast generalized DFTs for all finite groups. - Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo, Hyesoon Kim:
Collaborative Execution of Deep Neural Networks on Internet of Things Devices. - Tuan Manh Lai, Trung Bui, Nedim Lipka, Sheng Li:
Supervised Transfer Learning for Product Information Question Answering. - Shlomo Engelson Argamon:
Computational Register Analysis and Synthesis. - Samir Passi, Solon Barocas:
Problem Formulation and Fairness. - Pavel Temirchev, Maxim Simonov, Ruslan Kostoev, Evgeny Burnaev, Ivan V. Oseledets, Alexey Akhmetov, Andrey Margarit, Alexander Sitnikov, Dmitry A. Koroteev:
Deep Neural Networks Predicting Oil Movement in a Development Unit. - Aron Yu, Kristen Grauman:
Thinking Outside the Pool: Active Training Image Creation for Relative Attributes. - Peter B. Rønne, Arash Atashpendar, Kristian Gjøsteen, Peter Y. A. Ryan:
Coercion-Resistant Voting in Linear Time via Fully Homomorphic Encryption: Towards a Quantum-Safe Scheme. - Maxwell Crouse, Achille Fokoue, Maria Chang, Pavan Kapanipathi, Ryan Musa, Constantine Nakos, Lingfei Wu, Kenneth D. Forbus, Michael Witbrock:
High-Fidelity Vector Space Models of Structured Data. - Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa G. Narasimhan, Jan Kautz:
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera. - Xinzhe Fu, Eytan H. Modiano:
Network Interdiction Using Adversarial Traffic Flows. - Fabricio Aparecido Breve:
Interactive Image Segmentation using Label Propagation through Complex Networks. - Raghunandan M. Rao, Vuk Marojevic, Jeffrey H. Reed:
Analysis of Non-Pilot Interference on Link Adaptation and Latency in Cellular Networks. - Apoorva Sharma, James Harrison, Matthew Tsao, Marco Pavone:
Robust and Adaptive Planning under Model Uncertainty. - Zhenqiang Li, Yifei Huang, Minjie Cai, Yoichi Sato:
Manipulation-skill Assessment from Videos with Spatial Attention Network. - Douglas Comer, Adib Rastegarnia:
Externalization of Packet Processing in Software Defined Networking. - Masahito Hayashi:
Secure list decoding. - Chuhui Xue, Shijian Lu, Wei Zhang:
MSR: Multi-Scale Shape Regression for Scene Text Detection. - Iman Jahandideh, Fatemeh Ghassemi, Marjan Sirjani:
Hybrid Rebeca: Modeling and Analyzing of Cyber-Physical Systems. - Chien-Yi Chang, De-An Huang, Yanan Sui, Li Fei-Fei, Juan Carlos Niebles:
D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation. - Asanka G. Perera, Yee Wei Law, Javaan S. Chahl:
UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition. - Chentao Yue, Mahyar Shirvanimoghaddam, Yonghui Li, Branka Vucetic:
Segmentation-Discarding Ordered-Statistic Decoding for Linear Block Codes. - Qian Chen, Wen Wang:
Sequential Attention-based Network for Noetic End-to-End Response Selection. - Ali Rahmati, Xiaofan He, Ismail Güvenç, Huaiyu Dai:
Dynamic Mobility-Aware Interference Avoidance for Aerial Base Stations in Cognitive Radio Networks. - Zheng Tang, Jenq-Neng Hwang:
MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D. - Hunmin Park, Sung-Eui Yoon:
Collaborative 3D modeling system based on blockchain. - Yuanchun Li, Ziyue Yang, Yao Guo, Xiangqun Chen:
A Deep Learning based Approach to Automated Android App Testing. - Jianan Zhang, Hyang-Won Lee, Eytan H. Modiano:
On the Robustness of Distributed Computing Networks. - Lu Zhang, Zhiyong Liu, Xiangyu Chen, Xu Yang:
The Cross-Modality Disparity Problem in Multispectral Pedestrian Detection. - Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, Isabelle Augenstein:
What do Language Representations Really Represent? - Marcel von Maltitz, Dominik Bitzer, Georg Carle:
Data Querying and Access Control for Secure Multiparty Computation. - Vijini Mallawaarachchi, Lakmal Meegahapola, Roshan Alwis, Eranga Nimalarathna, Dulani Meedeniya, Sampath Jayarathna:
Change Detection and Notification of Webpages: A Survey. - Lu Jin, Jinhui Tang, Zechao Li, Guo-Jun Qi, Fu Xiao:
Deep Semantic Multimodal Hashing Network for Scalable Multimedia Retrieval. - Steffen Eger, Paul Youssef, Iryna Gurevych:
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks. - Maria Bada, M. Angela Sasse, Jason R. C. Nurse:
Cyber Security Awareness Campaigns: Why do they fail to change behaviour? - Thrupthi Ann John, Isha Dua, Vineeth N. Balasubramanian, C. V. Jawahar:
Low-Cost Transfer Learning of Face Tasks. - Chengyu Wu, Guangyue Han, Brian H. Marcus:
A Deterministic Algorithm for the Capacity of Finite-State Channels. - Manuel Stein:
Interim Report on Adaptive Event Dispatching in Serverless Computing Infrastructures. - Jeongeun Son, Yuncheng Du:
Model-based Stochastic Fault Detection and Diagnosis for Lithium-ion Batteries. - Xiaoxiao Sun, Shaomin Mu, Yongyu Xu, Zhihao Cao, Tingting Su:
Image Recognition of Tea Leaf Diseases Based on Convolutional Neural Network. - Sarah Azouvi, Haaroon Yousaf, Alexander Hicks:
Incentivising Privacy in Cryptocurrencies. - Georgios Fortetsanakis, Maria Papadopouli:
Multi-layer Game-Theoretical Analysis of Wireless Markets with Market Segmentation. - Agnese Chiatti, Dolzodmaa Davaasuren, Nilam Ram, Prasenjit Mitra, Byron Reeves, Thomas N. Robinson:
Guess What's on my Screen? Clustering Smartphone Screenshots with Active Learning. - Peng Xu, Zhaohong Deng, Jun Wang, Qun Zhang, Shitong Wang:
Transfer Representation Learning with TSK Fuzzy System.