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ORCIDIJCNN 2022: Padua, Italy
- International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022. IEEE 2022, ISBN 978-1-7281-8671-9
- Mario T. R. Serra Neto, Inês Dutra
, Marco Antônio Florenzano Mollinetti:
Map-Optimize-Learn: Predicting Cardiac Pathology in Children and Teenagers with a Deep Learning Based Tabular Learning Method. 1-8 - Yanchen Li, Qingzhong Ai, Fumihiko Ino:
A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs. 1-8 - Subba Reddy Oota, Archi Yadav, Arpita Dash, Raju S. Bapi, Avinash Sharma:
Multiple GraphHeat Networks for Structural to Functional Brain Mapping. 1-8 - Slawek Smyl, Grzegorz Dudek, Pawel Pelka:
ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. 1-8 - Chenglin Wang, Xiaowei Xu, Zhimin Wei, Wei Zhang, Zhenyu Liu:
LSGC: An Interactive Text Matching Model Combined with Enhanced Encoding. 1-7 - Sourav Ghosh, Dipanjan Das, Abhishek Chakraborty, Marichi Agarwal, Brojeshwar Bhowmick:
Planning Large-scale Object Rearrangement Using Deep Reinforcement Learning. 1-8 - Shaofei Lu, Yajun Zhu, Shen Liu, Jingke She:
A Tool Wear Prediction Model Based on Attention Mechanism and IndRNN. 1-7 - Shangyin Weng, Lei Zhang, Daquan Feng, Chenyuan Feng, Ruiyu Wang, Paulo Valente Klaine, Muhammad Ali Imran:
Privacy-Preserving Federated Learning based on Differential Privacy and Momentum Gradient Descent. 1-6 - Wentao Fu, Jifeng Sun, Yong Jiang:
Stock Selection via Expand-excite Conv Attention Autoencoder and Layer Sparse Attention Transformer: A Classification Approach Inspire Time Series Sequence Recognition. 1-7 - Ling Xiong, Junxiu Liu, Min Su, Shunsheng Zhang, Guopei Wu, Haiping Shu, Bingxiong Jiang:
Covid-19 Diagnosis via Voice Using Online Sequential Extreme Learning Machine. 1-6 - Yanyu Chen, Zhihao Xia, Jian Liu, Chenwei Wu:
TSDet: End-to-End Method with Transformer for SAR Ship Detection. 1-8 - Xu Zhang, Yifeng Li, Xueping Peng, Xinxiao Qiao, Hui Zhang, Wenpeng Lu:
Correlation Encoder-Decoder Model for Text Generation. 1-7 - Yiyi Song, Hongyan Mao, Hongwei Li:
Spatio-Temporal Modeling For Air Quality Prediction Based On Spectral Graph Convolutional Network And Attention Mechanism. 1-9 - Shreyah Iyer, Cornelius Glackin, Nigel Cannings, Vito Veneziano, Yi Sun:
A Comparison Between Convolutional and Transformer Architectures for Speech Emotion Recognition. 1-8 - Yuchen Pan, Yu Hong, Qingting Xu, Jiaxiang Chen, Jianmin Yao:
Aspect Term Extraction via Contrastive Learning over Self-augmented Data. 1-8 - Sohini Roychowdhury:
Semi-supervised and Deep learning Frameworks for Video Classification and Key-frame Identification. 1-8 - Wenya Li, Xiaofei Zhou, Xu Bai, Shirui Pan:
Improving Factual Consistency of Dialogue Summarization with Fact-Augmentation Mechanism. 1-7 - Beiya Dai, Jiangang Qian, Shiqing Cheng, Linbo Qiao, Dongsheng Li:
Event Coreference Resolution based on Convolutional Siamese network and Circle Loss. 1-7 - Haotian Zhang, Wei Wu:
Transformer Gate Attention Model: An Improved Attention Model for Visual Question Answering. 1-7 - Michal Panek, Ireneusz Jablonski, Michal Wozniak:
Automated identification of systematic performance changes in 5G networks by changepoint tracking. 1-8 - Zixuan Zhao, Siyu Yang, Christopher Sauer, Atsushi Teraji, Yasuhiro Yamauchi, Takeshi Hirata, A. J. Bisci, Yi Lu Murphey:
Structured Deep Learning Models for Accurate Prediction of Real-world Driving Speed for Short and Long-term Horizons. 1-8 - Gabriel Faria, Gabriel Henrique de Souza, Heder Bernardino, Luciana Motta, Alex Borges Vieira:
Analyzing Data Augmentation Methods for Convolutional Neural Network-based Brain-Computer Interfaces. 1-8 - Hugo Bertrand, Haytham Elghazel, Sahar Masmoudi, Emmanuel Coquery, Mohand-Saïd Hacid:
Localized Feature Ranking approach for Multi-Target Regression. 1-8 - Yanli Bi, Lizhe Qi, Yunquan Sun:
C2F-CFN: Coarse-to-Fine ClothFlow Network for High-Fidelity Virtual Try-On. 1-8 - Mingfeng Wang, Jing Li, Jun Chang, Donghua Liu, Chenyan Zhang, Xiaosai Huang:
Global Context-Aware Graph Neural Networks for Session-based Recommendation. 1-8 - Yingying Tan, Junli Wang:
Word Order is Considerable: Contextual Position-aware Graph Neural Network for Text Classification. 1-8 - Liancheng Xu, Guangchao Wang, Lei Guo, Xinhua Wang:
Long- and Short-term Attention Network for Knowledge Tracing. 1-9 - Jatin Chauhan, Manohar Kaul:
BERTops: Studying BERT Representations under a Topological Lens. 1-8 - Yanbin Lin, Zhen Ni, Xiangnan Zhong:
Multi-Virtual-Agent Reinforcement Learning for a Stochastic Predator-Prey Grid Environment. 1-8 - Malgorzata Charytanowicz, Piotr A. Kowalski, Szymon Lukasik, Piotr Kulczycki, Henryk Czachor:
Deep Learning for Porous Media Classification Based on Micro-CT Images. 1-8 - Yuexin Xuan, Xiaojun Chen, Zhendong Zhao, Yangyang Ding, Jianming Lv:
ACTSS: Input Detection Defense against Backdoor Attacks via Activation Subset Scanning. 1-8 - Aidong Hou, Shengli Jin, Dietmar Gruber, Harald Harmuth:
Application of Artificial Neural Network to Predict the Thermal and Thermomechanical Behavior of Refractory Linings. 1-6 - Kangkang Chen, Zhongxue Gan, Siyang Leng, Chun Guan:
Deep Reinforcement Learning with Parametric Episodic Memory. 1-7 - Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán:
Sparse Oblique Decision Trees: A Tool to Interpret Natural Language Processing Datasets. 1-8 - Teddy Zaremba, Adham Atyabi:
Cross-Subject & Cross-Dataset Subject Transfer in Motor Imagery BCI systems. 1-8 - Ramya Ramalingam, Nicolas A. Espinosa Dice, Megan L. Kaye, George D. Montañez:
Bounding Generalization Error Through Bias and Capacity. 1-8 - Matthias Kissel, Klaus Diepold:
Convolutional Neural Networks with analytically determined Filters. 1-7 - Mikol Forney, Xuyang Yan, Kishor Datta Gupta, Mahmoud Nabil Mahmoud, Abdollah Homaifar:
Identifying Anomalous Flight Trajectories by leveraging ensembled outlier detection framework. 1-8 - Jing Yang, Qiqi Chen:
A Causal Network Construction Algorithm Based on Partial Rank Correlation on Time Series. 1-8 - Alex Szorkovszky, Frank Veenstra, Kyrre Glette:
Rapid rhythmic entrainment in bio-inspired central pattern generators. 1-7 - Spyridon Samothrakis, Ana Matran-Fernandez, Umar I. Abdullahi, Michael Fairbank, Maria Fasli:
Grokking-like effects in counterfactual inference. 1-8 - Liyan Song, Shuxian Li, Leandro L. Minku, Xin Yao:
A Novel Data Stream Learning Approach to Tackle One-Sided Label Noise From Verification Latency. 1-8 - Charly Alizadeh, Pegah Alizadeh, Miguel F. Anjos, Lucas Létocart, Emiliano Traversi:
How to Learn the Optimal Clique Decompositions in Solving Semidefinite Relaxations for OPF. 1-8 - Keval Doshi, Shatha Abudalou, Yasin Yilmaz:
Reward Once, Penalize Once: Rectifying Time Series Anomaly Detection. 1-8 - Jaime Sevilla, Lennart Heim, Anson Ho, Tamay Besiroglu, Marius Hobbhahn, Pablo Villalobos:
Compute Trends Across Three Eras of Machine Learning. 1-8 - Michele Scarpiniti, Cristiano Mauri, Danilo Comminiello, Aurelio Uncini, Yong-Cheol Lee:
CoVal-SGAN: A Complex-Valued Spectral GAN architecture for the effective audio data augmentation in construction sites. 1-8 - Ahmed Mamdouh, Moumen T. El-Melegy, Samia A. Ali, Ayman S. El-Baz:
Prediction of The Gleason Group of Prostate Cancer from Clinical Biomarkers: Machine and Deep Learning from Tabular Data. 1-8 - Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Chiara Verdone:
Early Detection of Parkinson's Disease using Spiral Test and Echo State Networks. 1-8 - Ruyu Qin, Min Huang, Jiawei Liu, Qinghai Miao:
Hybrid Attention-based Transformer for Long-range Document Classification. 1-8 - Wei Peng, Yue Hu, Yuqiang Xie, Luxi Xing, Yajing Sun:
CogIntAc: Modeling the Relationships between Intention, Emotion and Action in Interactive Process from Cognitive Perspective. 1-8 - Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato, Yasushi Yuminaka, Yoshihiko Horio, Jordi Madrenas:
A Fully Analog CMOS Implementation of a Two-variable Spiking Neuron in the Subthreshold Region and its Network Operation. 1-7 - Xianyang Chu, Minghua Zhu, Hongyan Mao, Yunzhou Qiu:
A Feature Fusion Analysis Model of Heterogeneous Data Based on Tensor Decomposition. 1-7 - Patrícia Pereira, Anders Lansner, Pawel Andrzej Herman:
Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve. 1-7 - Madeleine Abernot, Thierry Gil, Evgenii Kurylin, Tanguy Hardelin, Alexandre Magueresse, Théophile Gonos, Manuel Jiménez Través, Maria José Avedillo, Aida Todri-Sanial:
Oscillatory Neural Networks for Obstacle Avoidance on Mobile Surveillance Robot E4. 1-8 - Daxing Zhao, Shuai Zhao, Ruiqiang Liu, Qiuman Xu, Bo Cheng:
Long-term Traffic Prediction Using Time-varying Adjacency Mask and Self-Smoothing Regularization. 1-8 - Vahid Saranirad, Shirin Dora, T. M. McGinnity, Damien Coyle:
Assembly-based STDP: A New Learning Rule for Spiking Neural Networks Inspired by Biological Assemblies. 1-7 - Changwu Huang, Zeqi Zhang, Bifei Mao, Xin Yao:
Preventing Undesirable Behaviors of Neural Networks via Evolutionary Constrained Learning. 1-7 - Pei-Chun Chang, Yan-Yu Tien, Chia-Lin Chen, Li-Fen Chen, Yong-Sheng Chen, Hui-Ling Chan:
Facial Image Reconstruction from Functional Magnetic Resonance Imaging via GAN Inversion with Improved Attribute Consistency. 1-8 - Yan Zhou, Haibin Zhou, Nanjun Li, Jianxun Li, Dongli Wang:
Lightweight Self-Attention Network for Semantic Segmentation. 1-8 - Takuro Kida, Yuichi Kida:
Theory of the optimum signal approximation clarifying the importance in the recognition of parallel world and application to secure signal communication with feedback. 1-8 - M. A. Ganaie, Muhammad Tanveer, Ashwani Kumar Malik, Ponnuthurai N. Suganthan:
Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information. 1-8 - Chih-Shuo Tsai, Ying-Hong Chan, Yao-Chung Fan:
Hierarchical Cache Transformer: Dynamic Early Exit for Language Translation. 1-9 - Yunlu Zhang, Keyan Ren, Chun Zhang, Tong Yan:
SG-TCN: Semantic Guidance Temporal Convolutional Network for Action Segmentation. 1-8 - Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger:
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes. 1-8 - Pedro Silva, Gladston Moreira, Vander L. S. Freitas, Rodrigo Silva, David Menotti, Eduardo Luz:
A Decidability-Based Loss Function. 1-8 - Zheng Yuan, Dugang Liu, Weike Pan, Zhong Ming:
SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback. 1-8 - Daniel Theng, Adham Atyabi:
Implication of Subject Transfer in Motor Imagery Brain Computer Interfacing systems. 1-8 - Yaorong Xiao, William Ashbee, Vince D. Calhoun, Sergey M. Plis:
Refacing Defaced MRI with PixelCNN. 1-7 - Canlin Zhang, Chun-Nan Hsu, Yannis Katsis, Ho-Cheol Kim, Yoshiki Vazquez-Baeza:
Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery. 1-9 - Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao, Marcilio C. P. de Souto:
Anchored Constrained Clustering Ensemble. 1-8 - Tingyu Xie, Peng Peng, Hongwei Wang, Yusheng Liu:
Open Knowledge Graph Link Prediction with Segmented Embedding. 1-8 - Piotr Przybyla, Piotr Borkowski, Konrad Kaczynski:
Countering Disinformation by Finding Reliable Sources: a Citation-Based Approach. 1-8 - Yunpeng Bai, Chen Gong, Bin Zhang, Guoliang Fan, Xinwen Hou, Yu Lu:
Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution. 1-8 - Shuhe Liu, Xiaolin Xu, Yongzheng Zhang, Yipeng Wang:
Autonomous Anti - interference Identification of $\text{IoT}$ Device Traffic based on Convolutional Neural Network. 1-8 - Henry Jin, Marios Mattheakis, Pavlos Protopapas:
Physics-Informed Neural Networks for Quantum Eigenvalue Problems. 1-8 - Yulianti Paula Bria, Chung-Hsing Yeh, Susan E. Bedingfield:
Machine Learning Classifiers for Symptom-Based Malaria Prediction. 1-6 - Yawen Lu, Guoyu Lu:
Self-supervised Depth Estimation from Spectral Consistency and Novel View Synthesis. 1-8 - Shoukang Han, Neng Gao, Xiaobo Guo, Yiwei Shan:
Hierarchical Graph Attention Network with Heterogeneous Tripartite Graph for Numerical Reasoning over Text. 1-7 - Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang:
Multi-Agent Uncertainty Sharing for Cooperative Multi-Agent Reinforcement Learning. 1-8 - Fan Wen, Ming Li, Ruiyang Wang:
Social Transformer: A Pedestrian Trajectory Prediction Method based on Social Feature Processing Using Transformer. 1-7 - Amogh Manoj Joshi, Deepak Ranjan Nayak:
GDenseMNet: Global Dense Multiscale Feature Learning Network for Efficient COVID-19 Detection in CT Images. 1-7 - Wilkie Olin-Ammentorp, Maxim Bazhenov:
Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks. 1-10 - Alperen Görmez, Venkat R. Dasari, Erdem Koyuncu:
E2CM: Early Exit via Class Means for Efficient Supervised and Unsupervised Learning. 1-8 - Nuwan Gunasekara, Heitor Murilo Gomes, Bernhard Pfahringer, Albert Bifet:
Online Hyperparameter Optimization for Streaming Neural Networks. 1-9 - Giovanna Castellano, Corrado Mencar, Gaetano Sette, Francesco Saverio Troccoli, Gennaro Vessio:
Crowd Flow Detection from Drones with Fully Convolutional Networks and Clustering. 1-8 - Nik Khadijah Nik Aznan, John Brennan, Daniel Bell, Jennine Jonczyk, Paul Watson:
On the Complexity of Object Detection on Real-world Public Transportation Images for Social Distancing Measurement. 1-8 - Bruna Rossetto Delazeri, Leonardo León Vera, Jean Paul Barddal, Alessandro L. Koerich, Alceu S. Britto Jr.:
Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition. 1-8 - Achyut Mani Tripathi, Swarup Ranjan Behera, Konark Paul:
Defensive Bit Planes: Defense Against Adversarial Attacks. 1-8 - Kun Cao, Zongxia Xie:
Uncertainty prediction and calibration using multi-expert gating mechanism. 1-9 - Sravani Yenduri, Vishnu Chalavadi, C. Krishna Mohan:
STIP-GCN: Space-time interest points graph convolutional network for action recognition. 1-8 - Haoze Yang, Kunyao Lan, Jiawei You, Liping Shen:
A simple but practical method: How to improve the usage of entities in the Chinese question generation. 1-8 - Martin Link, Max Schwarz, Sven Behnke:
Predicting Physical Object Properties from Video. 1-7 - Joachim Denker, Vincenzo Iannino, Christian Laudenberg, Alfred Tenner, Mohieddine Jelali, Marvin Daun:
Improved Temperature Monitoring and Control of Production Lines in Casting through BaSyx Framework and Edge Intelligence. 1-8 - Achyut Mani Tripathi, Swarup Ranjan Behera, Konark Paul:
Adv-IFD: Adversarial Attack Datasets for An Intelligent Fault Diagnosis. 1-8 - Corinne G. Allaart, Björn Keyser, Henri E. Bal, Aart van Halteren:
Vertical Split Learning - an exploration of predictive performance in medical and other use cases. 1-8 - Brian S. Robinson, Clare W. Lau, Alexander New, Shane M. Nichols, Erik C. Johnson, Michael Wolmetz, William G. Coon:
Continual learning benefits from multiple sleep stages: NREM, REM, and Synaptic Downscaling. 1-9 - Hongchao Jiang, Chunyan Miao:
Pre-Training 3D Convolutional Neural Networks for Prodromal Alzheimer's Disease Classification. 1-8 - Peter Ford Dominey, Timothy M. Ellmore, Jocelyne Ventre-Dominey:
Effects of Connectivity on Narrative Temporal Processing in Structured Reservoir Computing. 1-8 - Zhuping Hu, Tianqi Gao, Hao Li, Maoguo Gong, Yue Wu, Jieyi Liu, Jiao Shi:
Ternary Change Detection in SAR Images Based on Bi-hierarchical SDAE and Bayesian Optimization. 1-8 - Stephen Lamczyk, Kwame Ampofo, Behrouz Salashour, Mecit Cetin, Khan M. Iftekharuddin:
SURFGenerator: Generative Adversarial Network Modeling for Synthetic Flooding Video Generation. 1-8 - Xiang Xie, Wilhelm Stork:
Large-Scale Spectral Analysis for Element Quantification using Deep Neural Networks. 1-8 - Inês Saraiva, Daniela Moniz, Alexandre Almeida, João M. C. Sousa, Susana M. Vieira:
Intelligent Funds Assistant Exploiting Hierarchical Text Classification Algorithms. 1-7 - Jair Galvão, Tsang Ing Ren, Francisco Madeiro, Emerson A. O. Lima:
Low-discrepancy Sampling for Full Reference Image Quality Assessment Speed Up. 1-8 - Merylin Monaro, Valentina Fietta, Valentina Curró, Giulia Lusetti, Giuseppe Sartori, Nicolò Navarin:
Forged handwriting verification: a public domain dataset for training machine learning models. 1-8 - Zhan Li, Ziyi Zhong, Zhitao Chen, Gengqi Yao, Xi Chen, Weijian Huang:
Edge Guided Learning for Image Super-resolution with Realistic Textures. 1-8 - Qiang Ding, Tianhao Sun, Mingliang Zhou:
Attribute-driven Interest Modeling for Sequential Recommendation. 1-8 - Lujun Li, Shiuan-Ni Liang, Ya Yang, Zhe Jin:
Boosting Online Feature Transfer via Separable Feature Fusion. 1-7 - Tinghui Ouyang, Yoshinao Isobe, Saïma Sultana, Yoshiki Seo, Yutaka Oiwa:
Autonomous driving quality assurance with data uncertainty analysis. 1-7 - Marcello Di Giammarco, Giacomo Iadarola, Fabio Martinelli, Francesco Mercaldo, Antonella Santone:
Explainable Retinopathy Diagnosis and Localisation by means of Class Activation Mapping. 1-8 - Yujie Liu, Xing Wei, Yang Lu, Chong Zhao, Xuanyuan Qiao:
Source Free Domain Adaptation via Combined Discriminative GAN Model for Image Classification. 1-8 - Wuji Zhang, Bin Li, Huabin Zhang, Lei Zhang:
Community and Local Information Preserved Link Prediction in Complex Networks. 1-7 - Arpita Dash, Raju S. Bapi, Dipanjan Roy, P. K. Vinod:
Characterizing the Dynamic Reorganization in Healthy Ageing and Classification of Brain Age. 1-7 - Hanwei Wang, Piji Li, Yanan Cao, Ruipeng Jia, Wang Hai-long, Li Yang-chun:
Decoupled Extractive Summarization as Graph Nodes Pruning. 1-8 - Haotian Zhang, Wei Wu, Meng Zhang:
Multi-Attention Cascade Model Based on Multi-Head Structure for Image-Text Retrieval. 1-7 - Jiyuan Cao, Zhilei Liu, Yong Zhang:
Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling. 1-8 - Julen Cestero, Marco Quartulli, Alberto Maria Metelli, Marcello Restelli:
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management. 1-9 - Md. Shahanur Alam, Chris Yakopcic, Tarek M. Taha:
Memristor Based Federated Learning for Network Security on the Edge using Processing in Memory (PIM) Computing. 1-8 - Pramit Dutta, Ganesh Sistu, Senthil Kumar Yogamani, Edgar Galván, John McDonald:
ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation. 1-7 - Divya Acharya, Guda Ramachandra Kaladhara Sarma, Kameshwar Raovenkatajammalamadaka:
Enhanced EfficientNet Network for Classifying Laparoscopy Videos using Transfer Learning Technique. 1-9 - Yuwei Sun, Hideya Ochiai, Jun Sakuma:
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis. 1-8 - Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan:
A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning. 1-8 - João Capela, João Correia, Vitor Pereira, Miguel Rocha:
Development of Deep Learning approaches to predict relationships between chemical structures and sweetness. 1-8 - Sanjukta Krishnagopal, Jacob Bedrossian:
Preserving Data Manifold Structure in Latent Space for Exploration through Network Geodesics. 1-8 - Maciej Kusy, Piotr A. Kowalski, Marcin Szwagrzyk, Aleksander Konior:
Machine learning techniques for explaining air pollution prediction. 1-8 - Linwei Chen, Dongsheng Zhou, Rui Liu, Qiang Zhang:
SAMKR: Bottom-up Keypoint Regression Pose Estimation Method Based On Subspace Attention Module. 1-9 - Jianming Guo, Xinran Chen, Zihan Liu, Weijie Yuan, Jianshen Zhang, Gongshen Liu:
Context Modeling with Hierarchical Shallow Attention Structure for Document-Level NMT. 1-8 - Flaminia Spasiano, Gabriele Gennaro, Simone Scardapane:
Evaluating Adversarial Attacks and Defences in Infrared Deep Learning Monitoring Systems. 1-6 - Seunghyun Baik, Hongje Seong, Youngjo Lee, Euntai Kim:
Spatial-Channel Transformer for Scene Recognition. 1-8 - Xiaotong Cheng, Chongyang Zhang:
C2-YOLO: Rotating Object Detection Network for Remote Sensing Images with Complex Backgrounds. 1-8 - Jenni Raitoharju, Alexandros Iosifidis:
Generalized Reference Kernel for One-class Classification. 1-9 - Anna Wawrzynczak, Monika Berendt-Marchel:
Feedforward neural networks in forecasting the spatial distribution of the time-dependent multidimensional functions. 1-8 - Nan Zhang, Jianzong Wang, Zhenhou Hong, Chendong Zhao, Xiaoyang Qu, Jing Xiao:
DT-SV: A Transformer-based Time-domain Approach for Speaker Verification. 1-7 - Kehan Long, Shasha Li, Pancheng Wang, Jintao Tang, Ting Wang:
Integrating Title and Citation Context Semantics of Citing Paper via Weighted Attentions for Local Citation Recommendation. 1-7 - Boli Fang, Zhenghao Peng, Hao Sun, Qin Zhang:
Meta Proximal Policy Optimization for Cooperative Multi-Agent Continuous Control. 1-8 - Kun Lei, Peng Guo, Yi Wang, Jianyu Xiong, Wenchao Zhao:
An End-to-end Hierarchical Reinforcement Learning Framework for Large-scale Dynamic Flexible Job-shop Scheduling Problem. 1-8 - Anca-Diana Vicol, Bojian Yin, Sander M. Bohté:
Real-time classification of LIDAR data using discrete-time Recurrent Spiking Neural Networks. 1-9 - Antonello Rosato, Massimo Panella, Evgeny Osipov, Denis Kleyko:
Few-shot Federated Learning in Randomized Neural Networks via Hyperdimensional Computing. 1-8 - Ziqiang Cui, Yixin Su, Fangquan Lin, Cheng Yang, Hanwei Zhang, Jihai Zhang:
Dual Disentangled Attention for Multi-Information Utilization in Sequential Recommendation. 1-8 - Stavros Ntalampiras:
Learning relationships between audio signals based on reservoir networks. 1-6 - Davide Buffelli, Fabio Vandin:
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach. 1-8 - Atsutoshi Kumagai, Tomoharu Iwata, Taishi Nishiyama, Yasuhiro Fujiwara:
Transfer Anomaly Detection for Maximizing the Partial AUC. 1-8 - Spyridon D. Kaftanis, Dimitrios A. Koutsomitropoulos:
Sentiment Text Analysis for Providing Individualized Feed of Recommendations Using Reinforcement Learning. 1-7 - Shifu Hou, Lingwei Chen, Yanfang Ye:
Summarizing Source Code from Structure and Context. 1-8 - Ankita Paul, Stefan Wagner, Anup Das:
Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training. 1-10 - Jie Mei:
Marrying Convolution and Transformer for COVID-19 Diagnosis Based on CT Scans. 1-7 - Jia Hu, Xianghong Lin, Chu Wang:
MGCN: Dynamic Spatio-Temporal Multi-Graph Convolutional Neural Network. 1-9 - Longbin Jin, Eunyi Kim:
E-EmotiConNet: EEG-based Emotion Recognition with Context Information. 1-8 - Chao Zhang, Wei Xi, Xinhui Liu, Gairui Bai, Jingtong Sun, Fan Yu:
Unsupervised Multimodal Image-to-Image Translation: Generate What You Want. 1-8 - Guixian Zhang, Rongjiao Liang, Zhongyi Yu, Shichao Zhang:
Rumour Detection on Social Media with Long-Tail Strategy. 1-8 - Yaxing Fang, Pengpeng Zhao, Xuefeng Xian, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Quaternion-Based Graph Contrastive Learning for Recommendation. 1-8 - Yi Fang, Shoudong Shi, Jingsen Fang, Wenting Yin:
SPRNet: Sitting Posture Recognition Using improved Vision Transformer. 1-6 - P. L. Ammar Ahmed, Archi Yadav, Avinash Sharma, Raju S. Bapi:
Multiple Kernel Learning for Modeling Resting State EEG Connectomes using Structural Connectivity of the Brain. 1-7 - Yuan Wang, Maoling Xu, Yanling Yan, Tingting Zhao, Yarui Chen, Jucheng Yang:
Exploring Topic Supervision with BERT for Text Matching. 1-7 - Radu Alexandru Rosu, Sven Behnke:
NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis. 1-7 - Pavan Dasari, Li Zhang, Yonghong Yu, Haoqian Huang, Rong Gao:
Human Action Recognition Using Hybrid Deep Evolving Neural Networks. 1-8 - Junjie Xu, Shuwen Yang, Luwei Xiao, Zhichao Fu, Xingjiao Wu, Tianlong Ma, Liang He:
Graph Convolution over the Semantic-syntactic Hybrid Graph Enhanced by Affective Knowledge for Aspect-level Sentiment Classification. 1-8 - Chen Li, Jun Bai, Chuanarui Wang, Yuanhao Hu, Wenge Rong, Zhang Xiong:
Graph and Question Interaction Aware Graph2Seq Model for Knowledge Base Question Generation. 1-8 - Zhuohan Xu, Zeheng Zhong, Bing Shi:
Deep Reinforcement Learning Based Resource Allocation Strategy in Cloud-Edge Computing System. 1-8 - Graham A. Bent, Chris Simpkin, Yuhua Li, Alun D. Preece:
Hyperdimensional Computing Using Time-To-Spike Neuromorphic Circuits. 1-8 - Yushan Feng, Fengxia Han, Shengjie Zhao:
A Graph Convolutional Stacked Temporal Attention Neural Network for Traffic Flow Forecasting. 1-7 - Pingping Zhu, José C. Príncipe:
Kernel Nonlinear Dynamic System Identification Based on Expectation-Maximization Method. 1-10 - Andy Ramlatchan, Yaohang Li:
Image Synthesis Using Conditional GANs for Selective Laser Melting Additive Manufacturing. 1-8 - Attila Kádár, Daniel Hadhazi:
FedLinked: A client-wise distilled representation based semi-supervised collaborative multitask learning scheme. 1-8 - Chenggen Wu, Feng Shuang, Hongxin Wang, Jiannan Zhao, Shigang Yue:
Dynamic Powerlines Detection for UAVs by Attention Fused Looming Detector. 1-8 - Guilherme Vieira, Marcos Eduardo Valle:
Acute Lymphoblastic Leukemia Detection Using Hypercomplex-Valued Convolutional Neural Networks. 1-8 - Kangjie Li:
Generative Adversarial Network-assisted Graph Convolutional Network (GANA-GCN). 1-8 - Hongyan Xu, Dadong Wang, Arcot Sowmya:
Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis. 1-9 - Di Wu, Nai Wang, Jiale Zhang, Yuan Zhang, Yong Xiang, Longxiang Gao:
A Blockchain-based Multi-layer Decentralized Framework for Robust Federated Learning. 1-8 - Haoran Li, Zicheng Duan, Jiaqi Li, Mingjun Ma, Yaran Chen, Dongbin Zhao:
Neurons Perception Dataset for RoboMaster AI Challenge. 1-8 - Shen Zhuang, Chengxi Gao, Ying He, F. Richard Yu, Yuhang Wang, Weike Pan, Zhong Ming:
$Q_{C}-DQN$: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing. 1-8 - Tang Xue, Yuran Zhao, Chaoqi Yang, Gongshen Liu, Xiaoyong Li:
SECT: A Successively Conditional Transformer for Controllable Paraphrase Generation. 1-8 - Jie Bai, Xianliang Jiang:
An Edge Computing based Defect Detection Algorithm for Malleable Iron. 1-8 - Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang:
Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network. 1-7 - Chenbin Zhang, Xiangli Yang, Jian Liang, Bing Bai, Kun Bai, Irwin King, Zenglin Xu:
ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise. 1-8 - Yongli Hu, Wen Ding, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Hierarchical Multiple Granularity Attention Network for Long Document Classification. 1-7 - Danilo Alves, Victor A. E. de Farias, Iago C. Chaves, Richard Chao, João Paulo Madeiro, João Paulo Pordeus Gomes, Javam C. Machado:
Detecting Customer Induced Damages in Motherboards with Deep Neural Networks. 1-8 - Paulo J. L. Adeodato, Sílvio B. Melo:
A geometric proof of the equivalence between AUC_ROC and Gini index area metrics for binary classifier performance assessment. 1-6 - Rom Uddamvathanak, Xin Zheng, Shirui Pan:
Joint Graph-Sequence Learning for Molecular Property Prediction. 1-6 - Chenxi Zhang, Chunming Wu:
Multi-Scale Attentive Feature Fusion Network for Single Image Dehazing. 1-7 - Jiayang Qiao, Yutong Liu, Linghe Kong:
GNN-Detective: Efficient Weakly Correlated Neighbors Distinguishing and Processing in GNN. 1-8 - Zilin Xiao, Yanan Sun:
Exploring the Effectiveness of Appearance Descriptor in DeepSORT. 1-8 - Julius Richter, Jeanine Liebold, Timo Gerkmann:
Continuous Phoneme Recognition based on Audio-Visual Modality Fusion. 1-8 - Amirhossein Hajavi, Ali Etemad:
Fine-grained Early Frequency Attention for Deep Speaker Recognition. 1-6 - Anton Lee, Heitor Murilo Gomes, Yaqian Zhang:
Balancing the Stability-Plasticity Dilemma with Online Stability Tuning for Continual Learning. 1-8 - Weidong Liu, Quanping Zhang, Wenbo Qiao:
Dirichlet Mixture Model of Hawkes Processes Based Patent User Role Discovery Model. 1-8 - Eduardo Rivas-Posada, Mario I. Chacon Murguia:
Analysis Regarding The Learning-To-Learn Process In The Implementation Of A Meta-Supervised Algorithm For Few-Shot Learning. 1-8 - Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan, Fabrice Daniel:
TracInAD: Measuring Influence for Anomaly Detection. 1-6 - R. G. Gayathri, Atul Sajjanhar, Yong Xiang:
Adversarial Training for Robust Insider Threat Detection. 1-8 - Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Zongying Liu:
Adaptive Resonance Theory-based Clustering for Handling Mixed Data. 1-8 - Benyu Dong, Chung-Ming Own, Qinghua Hu:
Domain Generalization via Maximum Intra-class Average Diameter Minimization. 1-8 - Jiankang Ren, Huawei Lv, Ran Bi, Qian Liu, Zheng Ni, Guozhen Tan:
Energy-Efficient Deep Neural Network Optimization via Pooling-Based Input Masking. 1-8 - Mireille el Assal, Pierre Tirilly, Ioan Marius Bilasco:
2D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognition. 1-8 - Chengcheng Li, Zi Wang, Hairong Qi:
Online Knowledge Distillation with History-Aware Teachers. 1-8 - Spencer Chang, José C. Príncipe:
Explaining Deep and ResNet Architecture Choices with Information Flow. 1-6 - Mansour Zoubeirou A. Mayaki, Michel Riveill:
Autoregressive based Drift Detection Method. 1-8 - Xiaohan Liu, Aimin Li, Deqi Liu, Dexu Yao, Mengfan Cheng:
Siamese Network Tracker by Attention Module and Relation Detector Module. 1-8 - Ryuichiro Hataya, Hideki Nakayama:
DJMix: Unsupervised Task-agnostic Image Augmentation for Improving Robustness of Convolutional Neural Networks. 1-8 - Rongguang He, Xiao Xiao, Yufan Kang, Hongyu Zhao, Wei Shao:
Heterogeneous Pointer Network for Travelling Officer Problem. 1-8 - Weijie Bai, Yunhua Chen, Ren Feng, Yuliang Zheng:
Accurate and Efficient Frame-based Event Representation for AER Object Recognition. 1-6 - Rushirajsinh Parmar, Minoru Kuribayashi, Hiroto Takiwaki, Mehul S. Raval:
On Fooling Facial Recognition Systems using Adversarial Patches. 1-8 - Guoyu Lu:
Image-based Localization for Self-driving Vehicles Based on Online Network Adjustment in A Dynamic Scope. 1-8 - Andrea Falanti, Eugenio Lomurno, Stefano Samele, Danilo Ardagna, Matteo Matteucci:
POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique. 1-8 - Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt:
Event - Driven Tactile Learning with Location Spiking Neurons. 1-9 - Ruiming Lin, Lianglun Cheng, Tao Wang, Jianfeng Deng:
Trans-SBLGCN: A Transfer Learning Model for Event Logic Knowledge Graph Construction of Fault Diagnosis. 1-8 - Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang:
Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection. 1-8 - Zhe Wu, Kai Li, Hang Xu, Yifan Zang, Bo An, Junliang Xing:
L2E: Learning to Exploit Your Opponent. 1-8 - Gianluca Milano, Matteo Agliuzza, Natascia De Leo, Carlo Ricciardi:
Speech recognition through physical reservoir computing with neuromorphic nanowire networks. 1-6 - Guanxi Feng, Chao Ma, Linjiang Zhou, Libing Wu, Jingsheng Zhang, Xiaochuan Shi:
Points2Shapelets: A Salience-Guided Shapelets Selection Approach to Time Series Classification. 1-8 - Francesco Scala, Stefano Mangini, Chiara Macchiavello, Daniele Bajoni, Dario Gerace:
Quantum variational learning for entanglement witnessing. 1-8 - Weiqing Huang, Yangyang Zong, Zhixin Shi, Leiqi Wang, Pengcheng Liu:
PEPC: A Deep Parallel Convolutional Neural Network Model with Pre-trained Embeddings for DGA Detection. 1-8 - Ming Du, Luyi Cheng, Bo Xu, Zhijun Wang, Sufen Wang, Junyi Yuan, Changqing Pan:
TS-DST: A Two-Stage Framework for Schema-Guided Dialogue State Tracking with Selected Dialogue History. 1-8 - Tian Tian, Yudong Liu, Mengzhu Sun, Xi Zhang:
Multi-modal False Information Detection Based on Adversarial Learning. 1-9 - Hanwen Hu, Yirong Chen, Jingchao Ouyang, Shiyou Qian, Jian Cao, Han Han, Jie Wang, Michael D. Lepech:
@ME: A Fine-grained Route Recommendation System to Grab Impatient Passengers. 1-8 - Pranab Sahoo, Sriparna Saha, Samrat Mondal, Sujit Chowdhury, Suraj Gowda:
Computer-Aided COVID-19 Screening from Chest CT-Scan using a Fuzzy Ensemble-based Technique. 1-8 - Qichuan Yang, Liuxin Zhang, Yang Zhang, Jinghua Gao, Siyun Wang:
A Novel Distilled Generative Essay Polish System via Hierarchical Pre-Training. 1-7 - Hongsheng Li, Guangming Zhu, Wu Zhen, Lan Ni, Peiyi Shen, Liang Zhang, Ning Wang, Cong Hua:
Spatial Parsing and Dynamic Temporal Pooling networks for Human-Object Interaction detection. 1-8 - Janio Lima, Rebecca Salles, Fábio Porto, Rafaelli Coutinho, Pedro Alpis, Luciana E. G. Escobar, Esther Pacitti, Eduardo S. Ogasawara:
Forward and Backward Inertial Anomaly Detector: A Novel Time Series Event Detection Method. 1-8 - Junnan Huang, Chongkun Xia, Houde Liu, Bin Liang:
PAV-Net: Point-wise Attention Keypoints Voting Network for Real-time 6D Object Pose Estimation. 1-8 - Jing Ling, Jun Zhang, Jing Yang:
Improving Sociable Conversational Recommender Systems via Topic-related Preference Graph. 1-8 - Feng Xue, Weizhong Yan:
Multivariate Time Series Anomaly Detection with Few Positive Samples. 1-7 - Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi:
Intrinsic Reward with Peer Incentives for Cooperative Multi-Agent Reinforcement Learning. 1-7 - Andrea Valenti, Davide Bacciu:
Leveraging Relational Information for Learning Weakly Disentangled Representations. 1-8 - Malte Rørmose Damgaard, Rasmus Pedersen, Thomas Bak:
A Probabilistic Programming Idiom for Active Knowledge Search. 1-9 - Jing Ni, Zubin Bhuyan, Qilei Chen, Xinzi Sun, Dechun Wang, Yu Cao, Benyuan Liu:
Enhance Chest X-ray Classification with Multi-image Fusion and Pseudo-3D Reconstruction. 1-8 - Shih-Kai Hung, John Q. Gan:
Boosting Facial Emotion Recognition by Using GANs to Augment Small Facial Expression Dataset. 1-8 - Mingjie Wei, Yunping Zhao, Jianzhuang Lu, Xiaowen Chen, Chen Li, Zerun Li:
Convolutional Neural Network Accelerator for Compression Based on Simon k-means. 1-7 - Shiying Sun, Hongduo Xu, Lingyao Sun, Yuanbo Fu, Yujia Zhang, Xiaoguang Zhao:
Hand Acupoint Detection from Images Based on Improved HRNet. 1-8 - Adalberto I. S. Oliveira, Antonio Candea Leite, Wouter Caarls:
Intelligent Robust Control for Second-Order Non-Linear Systems with Smart Gain Tuning based on Reinforcement Learning. 1-8 - Ting Wang, Zongkai Wu, Zihan Liu, Donglin Wang:
Cluster-based Curriculum Learning for Vision-and-Language Navigation. 1-7 - Marco Oliva, Soubarna Banik, Josip Josifovski, Alois C. Knoll:
Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control. 1-9 - Domenico Tortorella, Claudio Gallicchio, Alessio Micheli:
Spectral Bounds for Graph Echo State Network Stability. 1-8 - Yijun Zhao, Tanuja Chitnis:
Dirichlet Mixture of Gaussian Processes with Split-kernel: An Application to Predicting Disease Course in Multiple Sclerosis Patients. 1-8 - Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz:
Imbalanced Data Stream Classification Assisted by Prior Probability Estimation. 1-8 - Mounika Marreddy, Subba Reddy Oota, Lakshmi Sireesha Vakada, Venkata Charan Chinni, Radhika Mamidi:
Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language. 1-8 - Yulan Su, Yu Hong, Hongyu Zhu, Minhan Xu, Yifan Fan, Min Zhang:
Binary-perspective Asymmetrical Twin Gain: a Novel Evaluation Method for Question Generation. 1-8 - Russell Sammut Bonnici, Martin Benning, Charalampos Saitis:
Timbre Transfer with Variational Auto Encoding and Cycle-Consistent Adversarial Networks. 1-8 - Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy. 1-8 - Changqin He, Guang Kou, Haoyu Zhang, Zhihui Hu:
Graph Topology Noise Aware Learning by Feature Clustering and Pseudo-labels Generator. 1-8 - Neelakshi Joshi, Pedro Victor Vieira de Paiva, Murillo Rehder Batista, Marcos Vinicius Cruz, Josué Junior Guimarães Ramos:
Improvements in Brazilian Portuguese Speech Emotion Recognition and its extension to Latin Corpora. 1-8 - Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
SUSing: SU-net for Singing Voice Synthesis. 1-7 - William Harvey, Michael Teng, Frank Wood:
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training. 1-8 - Aditya R. Bhattacharya, Shayok Chakraborty:
Deep Active Learning with Range Feedback for Facial Age Estimation. 1-9 - Bradley Walters, Sandra Ortega-Martorell, Iván Olier, Paulo J. G. Lisboa:
Towards interpretable machine learning for clinical decision support. 1-8 - Ekansh Gupta, Raghupathy Sivakumar:
Wisdom of the Crowd: Using Multi-human Few-shot Learning to Improve Cross- User Generalization for Error Potentials in BCI Systems. 1-8 - Lingyong Fang, Gongshen Liu, Ru Zhang:
Sense-aware BERT and Multi-task Fine-tuning for Multimodal Sentiment Analysis. 1-8 - Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu:
Tiny RNN Model with Certified Robustness for Text Classification. 1-8 - Dengshi Li, Xiaocong Liang, Ruimin Hu, Lu Zeng, Xiaochen Wang:
$(\alpha, \ \beta)$-AWCS: $(\alpha, \ \beta)$-Attributed Weighted Community Search on Bipartite Graphs. 1-8 - Eleonora Grassucci, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello:
Hypercomplex Image- to- Image Translation. 1-8 - Weiguang Han, Jimin Huang, Qianqian Xie, Min Peng:
DGR: Decomposition Graph Reconstruction for Question Understanding. 1-8 - Xinzi Cao, Meng Yang, Guoying Sun:
Exploring Pixel Alignment on Shallow Feature for Weakly Supervised Object Localization. 1-8 - Santosh Kumar Yadav, Guntaas Singh, Manisha Verma, Kamlesh Tiwari, Hari Mohan Pandey, Ali Akbar Shaikh, Peter Corcoran:
YogaTube: A Video Benchmark for Yoga Action Recognition. 1-8 - Ayça Deniz, Hakan Ezgi Kiziloz:
Boosting Initial Population in Multiobjective Feature Selection with Knowledge-Based Partitioning. 1-8 - João Correia, Rafael Carreira, Vitor Pereira, Miguel Rocha:
Predicting the number of biochemical transformations needed to synthesize a compound. 1-8 - Zuhao Ge, Wenhao Yu, Xian Liu, Lizhe Qi, Yunquan Sun:
Density and Context Aware Network with Hierarchical Head for Traffic Scene Detection. 1-8 - Yangkai Lin, Suixin Ou:
Exploit Domain Knowledge: Smarter Abductive Learning and Its Application to Math Word Problems. 1-8 - William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm:
Evaluating Gaussian Grasp Maps for Generative Grasping Models. 1-9 - Wei Shao, Lei Huang, Shuqi Liu, Shihua Ma, Linqi Song:
Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models. 1-9 - Saurabh Dash, Xueyuan She, Saibal Mukhopadhyay:
Learning Point Processes using Recurrent Graph Network. 1-8 - Davide Liu, George Philippe Farajalla, Alexandre Boulenger:
BRec the Bank: Context-aware Self-attentive Encoder for Banking Products Recommendation. 1-8 - Eva Blanco-Mallo, João Carneiro, Goreti Marreiros, Beatriz Remeseiro, Verónica Bolón-Canedo:
When the best reviews are not placed between extremes. 1-8 - Zhaocheng Zhang, Gang Yang:
Exploring Attribute Space with Word Embedding for Zero-shot Learning. 1-8 - Jing Wang, Peipei Li, Kui Yu:
Partial Multi-Label Feature Selection. 1-9 - Fuyang Wei, Jianhui Zhao, Chudong Shan, Zhiyong Yuan:
Alignment and Multi-Scale Fusion for Visual-Tactile Object Recognition. 1-8 - Archit Parnami, Muhammad Usama, Liyue Fan, Minwoo Lee:
Privacy Enhancement for Cloud-Based Few-Shot Learning. 1-10 - Yujia Liu, Ming Jiang, Tingting Jiang:
LabelFool: A Trick In The Label Space. 1-8 - Lening Wang, Manojna Sistla, Mingsong Chen, Xin Fu:
BS-pFL: Enabling Low-Cost Personalized Federated Learning by Exploring Weight Gradient Sparsity. 1-8 - Zebao Zhang, Congmei Hu, Haiwei Pan, Yong Wang, Yuezhu Xu:
Aspect-Dependent Heterogeneous Graph Convolutional Network for Aspect-Level Sentiment Analysis. 1-8 - Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Region-based Cross-modal Retrieval. 1-8 - Zhe Li, Luoyi Fu:
A Relation-Aware Span-Level Transformer Network for Joint Entity and Relation Extraction. 1-8 - Sha Zhao, Yizhi Xu, Zhiling Luo, Jie Liu, Jindong Song, Shijian Li, Gang Pan:
Rapid Earthquake Magnitude Estimation Using Deep Learning. 1-8 - Matteo Munari, Luca Pasa, Daniele Zambon, Cesare Alippi, Nicolò Navarin:
Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning. 1-8 - Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo:
Less is more: Low-precision feature selection for wearables. 1-8 - Lukas Galke, Isabelle Cuber, Christoph Meyer, Henrik Ferdinand Nölscher, Angelina Sonderecker, Ansgar Scherp:
General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings. 1-10 - Issa Ayoub, Vincent Heiries, Hussein Al Osman:
Multimodal Affect Recognition Using Temporal Convolutional Neural Networks. 1-8 - Jayant Vyas, Nishit Bhardwaj, Bhumika, Debasis Das:
TransDBC: Transformer for Multivariate Time-Series based Driver Behavior Classification. 1-8 - Hongjia Li, Lingyu Yang, Lei Li, Chengyin Xu, Shu-Tao Xia, Chun Yuan:
PTS: A Prompt-based Teacher-Student Network for Weakly Supervised Aspect Detection. 1-8 - Mehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel:
Adversarial Multi - View Domain Adaptation for Regression. 1-8 - Yajing Sun, Yue Hu, Luxi Xing, Wei Peng, Yuqiang Xie, Xingsheng Zhang:
KC2UM: Knowledge-Conversation Cyclic Utilization Mechanism for Knowledge-Grounded Dialogue Generation. 1-8 - Victor E. De S. Silva, Tiago Lacerda, Péricles B. C. Miranda, André C. A. Nascimento, Ana Paula C. Furtado:
Federated Learning for Physical Violence Detection in Videos. 1-8 - Long Doan, Hieu Le, Huy Dang, Long Tran, Dao Hoang Long, Hai Minh Nguyen, Hanh Pham, Nam Nguyen, Ngoc Hoang Luong, Huynh Thi Thanh Binh:
TF-GeneNAS: An evolution-based training-free approach to Neural Architecture Search. 1-7 - Zhangtao Cheng, Joojo Walker, Ting Zhong, Fan Zhou:
Modeling Multi-View Interactions with Contrastive Graph Learning for Collaborative Filtering. 1-8 - Simon Heilig, Maximilian Münch, Frank-Michael Schleif:
Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels. 1-8 - Alexander Bartler, Florian Bender, Felix Wiewel, Bin Yang:
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision. 1-8 - Qian Zhou, Ming Yang, Shidong Chen, Hongzheng Yan:
Multi-modal Face Anti-spoofing Using Multi-fusion Network and Global Depth-wise Convolution. 1-8 - Yao Cheng, Hao-Zhou Hao, Yi Ji, Ying Li, Chunping Liu:
Attention-based Neighbor Selective Aggregation Network for Camouflaged Object Detection. 1-8 - Qianhao Luo, Xin Liu, Huaqiang Yuan, Xiaojian Wang, Yongyi Wang, Wei He, Weiling Li:
A Bi-branch Dark Channel Differential Convolutional Neural Network for Occupational Pneumoconiosis Staging. 1-7 - Kenny Schlegel, Peer Neubert, Peter Protzel:
HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing. 1-8 - Jiongyu Guo, Defang Chen, Can Wang:
Alignahead: Online Cross-Layer Knowledge Extraction on Graph Neural Networks. 1-8 - Alessio Verdone, Simone Scardapane, Massimo Panella:
Multi-site Forecasting of Energy Time Series with Spatio-Temporal Graph Neural Networks. 1-8 - Baoli Wang, Xinxin Fan, Quanliang Jing, Yueyang Su, Jingwei Li, Jingping Bi:
GTAT: Adversarial Training with Generated Triplets. 1-8 - Xingyu Zhu, Jin Wang, Xuejie Zhang:
An Enhanced Key-utterance Interactive Model with Decouped Auxiliary Tasks for Multi-party Dialogue Reading Comprehension. 1-8 - Fangtao Zhang, Xiu Ma, Weiqing Huang:
SeqA-ITD: User Behavior Sequence Augmentation for Insider Threat Detection at Multiple Time Granularities. 1-7 - Xiaolin Liang, Yajuan Huang, Wen Liu, He Zhu, Zhao Liang, Libo Chen:
TRICAN: Multi-Modal Hateful Memes Detection with Triplet-Relation Information Cross-Attention Network. 1-8 - Bea Waelbers, Stefano Bromuri, Alexander P. Henkel:
Comparing Neural Networks for Speech Emotion Recognition in Customer Service Interactions. 1-8 - Jiaqi Ye, Xiaodong Li, Yingying Wang:
A Multi-Agent Deep Reinforcement Learning Framework for VWAP Strategy Optimization. 1-8 - Jincheng Huang, Ping Li, Kai Zhang:
Semantic consistency for graph representation learning. 1-8 - Jianzong Wang, Shijing Si, Zhitao Zhu, Xiaoyang Qu, Zhenhou Hong, Jing Xiao:
Leveraging Causal Inference for Explainable Automatic Program Repair. 1-6 - Zhihan Yang, Zhiyong Wu, Jia Jia:
Speaker Characteristics Guided Speech Synthesis. 1-8 - Kyle Naddeo, Nidhal Bouaynaya, Roman Shterenberg:
An Information Geometric Perspective to Adversarial Attacks and Defenses. 1-8 - Yongli Sun, Wenpeng Li, Junliang Cao, Zhifeng Zhao, Hua Wei, Dingxin Yan, Guangze Sun, Gang Wang:
SCAN: Stronger Collaborative Attention Network for Vehicle Re-Identification. 1-8 - Yunlong Li, Shu Lin, Chang Liu, Qingjie Kong:
The Defects Detection in Steel Coil End Face Based on SCED-Net. 1-6 - Javier Huertas-Tato, Alejandro Martín, Álvaro Huertas-García, David Camacho:
Generating Authorship Embeddings with Transformers. 1-8 - Etienne Gael Tajeuna, Mohamed Bouguessa:
Dynamic Cox-Regression for Motif Prediction in Co-Evolving Time Series Data. 1-10 - Hongxi Wei, Chao He:
Joint Learning Method Based On Transformer For Image Retrieval. 1-7 - Jian Lan, Runfeng Shi, Ye Cao, Jiancheng Lv:
Knowledge Graph-based Conversational Recommender System in Travel. 1-8 - J. Alex Hurt, James Keller, Grant J. Scott:
Evolutionary Learning of Differential Morphological Profile Structure for Shape Feature Enabled Faster R-CNN. 1-9 - Jiameng Pan, Xiaoguang Zhu, Peilin Liu:
Generating Adaptive Targeted Adversarial Examples for Content-Based Image Retrieval. 1-9 - Weiheng Liu, Yitao Yang, Jinghui Zhong:
Towards Dual-Modal Crowd Density Forecasting in Transportation Building. 1-8 - Alejandro Romero, Justus H. Piater, Francisco Bellas, Richard J. Duro:
ANN-based Representation Learning in a Lifelong Open-ended Learning Cognitive Architecture. 1-8 - Thu Nguyen, Thanh Nhan Phan, Van Nhuong Nguyen, Nguyen Thanh Binh, Pål Halvorsen, Michael A. Riegler:
Parallel feature selection based on the trace ratio criterion. 1-8 - Susmita Palmal, Sriparna Saha, Somanath Tripathy:
HIV-1 Protease Cleavage Site Prediction using Stacked Autoencoder with Ensemble of Classifiers. 1-8 - Dali Zhu, Xianjin Huang, Nan Li, Hongju Sun, Meichen Liu, Jiguo Liu:
RAP-Net: A Resource Access Pattern Network for Insider Threat Detection. 1-8 - Hemant Kumawat, Saibal Mukhopadhyay:
Radar Guided Dynamic Visual Attention for Resource-Efficient RGB Object Detection. 1-8 - Sifatul Mostafi, Taghreed Alghamdi, Khalid Elgazzar:
RegTraffic: A Regression based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization. 1-6 - Mohd Ismail Lakhani, James McDermott, Frank G. Glavin, Sai Priya Nagarajan:
Facial Expression Recognition of Animated Characters using Deep Learning. 1-9 - Marcos Sergio Pacheco dos Santos Lima Junior, Jose David Fernández Rodriguez, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez:
Enhanced Perspective Generation by Consensus of NeX neural models. 1-8 - Chengpei Wu, Yang Lou, Ruizi Wu, Wenwen Liu, Junli Li:
CNN-based Prediction of Network Robustness With Missing Edges. 1-8 - You Qin, Zhi Wang, Chunlin Chen:
HRL2E: Hierarchical Reinforcement Learning with Low-level Ensemble. 1-7 - Ziang Huang, Ziming Wang, Haopeng Chen, Zhengtong Zhang, Jiansi Wang, Zhuo Yuan, Ying Jin, Xiaofeng Wu:
EA-VTP: Environment-Aware Long-Term Vessel Trajectory Prediction. 1-7 - Jiabin Tang, Tang Qian, Shijing Liu, Shengdong Du, Jie Hu, Tianrui Li:
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting. 1-8 - Islam Nasr, Lobna Nassar, Fakhri Karray:
Transfer Learning Framework for Forecasting Fresh Produce Yield and Price. 1-8 - Yunpeng Bai, Chun Yuan:
Contrastive Learning in Wavelet Domain for Image Dehazing. 1-7 - Kwun Ho Ngan, Artur S. d'Avila Garcez, Joseph Townsend:
Extracting Meaningful High-Fidelity Knowledge from Convolutional Neural Networks. 1-17 - Anne Marthe Sophie Ngo Bibinbe, Michael Franklin Mbouopda, Gertrude Raissa Mbiadou Saleu, Engelbert Mephu Nguifo:
A survey on unsupervised learning algorithms for detecting abnormal points in streaming data. 1-8 - Yunpeng Li, Yue Hu, Ping Guo:
A Robust De-noising Method via Training Loss for Distantly Supervised Relation Extraction. 1-9 - Félix Gaschi, François Plesse, Parisa Rastin, Yannick Toussaint:
Multilingual Transformer Encoders: a Word-Level Task-Agnostic Evaluation. 1-8 - Yujuan Tan, Zhichao Zhang, Zhulin Ma, Yanlin Zhou, Duo Liu:
Towards the Design of Efficient TCN-bascd Prefetcher for Hybrid NVM-DRAM Memory. 1-9 - Norbert Michael Mayer, Oliver Obst:
Analyzing Echo-state Networks Using Fractal Dimension. 1-8 - Robert A. Marsden, Felix Wiewel, Mario Döbler, Yang Yang, Bin Yang:
Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer. 1-8 - Ziwei Wang, Martin A. Trefzer, Simon J. Bale, Andy M. Tyrrell:
A Multi-objective Evolutionary Approach for Efficient Kernel Size and Shape for CNN. 1-8 - Amanda Camacho Novaes de Oliveira, Daniel R. Figueiredo:
Network Connectivity and Learning Performance on Restricted Boltzmann Machines. 1-8 - Andrew Flynn, Oliver Heilmann, Daniel Köglmayr, Vassilios A. Tsachouridis, Christoph Räth, Andreas Amann:
Exploring the limits of multifunctionality across different reservoir computers. 1-8 - Sai Saketh Rambhatla, Michael J. Jones, Rama Chellappa:
An Empirical Analysis of Boosting Deep Networks. 1-9 - Alfin Junaedy, Hiroyuki Masuta, Kei Sawai, Tatsuo Motoyoshi, Noboru Takagi:
Development of Robot Control Interface with Multi-Bandwidth Communication. 1-8 - Guangbin Wang, Yuxin Ding, Zhibin Xie, Yubin Ma, Zihan Zhou, Wen Qian:
RotatGAT: Learning Knowledge Graph Embedding with Translation Assumptions and Graph Attention Networks. 1-7 - Jian Luo, Jianzong Wang, Ning Cheng, Haobin Tang, Jing Xiao:
Speech Augmentation Based Unsupervised Learning for Keyword Spotting. 1-7 - Yue Han, Haiyin Piao, Yaqing Hou, Yang Sun, Zhixiao Sun, Deyun Zhou, Shengqi Yang, Xuanqi Peng, Songyuan Fan:
Deep Relationship Graph Reinforcement Learning for Multi-Aircraft Air Combat. 1-8 - Qingqing Yi, Zhong Qian, Peifeng Li, Qiaoming Zhu:
Chinese Sentence-level Event Factuality Identification with Recursive Neural Network. 1-8 - Sachin Kumar, Zairu Nisha:
Does Social Media Feed Tell about Your Mental State? A Deep Randomised Neural Network Approach. 1-8 - Yaqi Sun, Shijing Si, Jianzong Wang, Yuhan Dong, Zhitao Zhu, Jing Xiao:
A Fair Federated Learning Framework With Reinforcement Learning. 1-8 - Alexander Gepperth:
A new perspective on probabilistic image modeling. 1-10 - Yang Wu, Wenli Huang, Siqi Hui, Jinjun Wang:
Learning Knowledge Graph Embedding with Batch Circle Loss. 1-8 - Zhengwu Luo, Lina Wang, Run Wang, Kang Yang, Aoshuang Ye:
Improving Robustness Verification of Neural Networks with General Activation Functions via Branching and Optimization. 1-8 - Santosh Kumar Yadav, Palaash Agrawal, Kamlesh Tiwari, Ehsan Adeli, Hari Mohan Pandey, Ali Akbar Shaikh:
WTM: Weighted Temporal Attention Module for Group Activity Recognition. 1-8 - Deepak Mohapatra, Ankush Ojha, Harshad Khadilkar, Supratim Ghosh:
Gatekeeper: A deep reinforcement learning-cum-heuristic based algorithm for scheduling and routing trains in complex environments. 1-7 - Jiangwei Li, Jinghui Zhong:
Building an Efficient Retrieval-based Dialogue System with Contrastive Learning. 1-8 - Yiwei Fu, Feng Xue:
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series. 1-8 - Takuya Kanazawa:
One-Parameter Family of New Acquisition Functions for Efficient Global Optimization. 1-8 - Weiwei Li, Jin Chen, Yuqing Lu, Zhiqiu Huang:
Filling Missing Labels in Label Distribution Learning by Exploiting Label-Specific Feature Selection. 1-8 - Hangyu Deng, Jinglu Hu:
Improving Sequential Recommendation via Subsequence Extraction. 1-8 - Omobayode Fagbohungbe, Lijun Qian:
Impact of L1 Batch Normalization on Analog Noise Resistant Property of Deep Learning Models. 1-9 - Chamara Kasun Liyanaarachchi Lekamalage, Zhiping Lin, Guang-Bin Huang, Jagath Chandana Rajapakse:
Cascaded Adversarial Learning for Speaker Independent Emotion Recognition. 1-8 - Xianmu Cairang, Duoji Zhaxi, Xiaolong Yang, Yan Hou, Qijun Zhao, Dingguo Gao, Pubu Danzeng, Dorji Gesang:
Learning Generalisable Representations for Offline Signature Verification. 1-7 - Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang:
RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning. 1-8 - Yuanze Zheng, Shengrong Zhao, Hu Liang, Na Li:
WPNet: Wide Pyramid Network for Recognition of HER2 Expression Levels in Breast Cancer Evaluation. 1-9 - Chenhao Fu, Bailin Yang, Shi Meng:
Label Distribution Learning Based on Square Root Pearson. 1-7 - Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan:
Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification. 1-8 - Yinghui Li, Chen Wang, Yangning Li, Hai-Tao Zheng, Ying Shen:
Learning Purified Feature Representations from Task-irrelevant Labels. 1-8 - Jingtong Sun, Wei Xi, Gairui Bai, Xinhui Liu, Fan Yu, Chao Zhang:
ACFNet: An Adaptive Context Fusion Network for Skin Lesion Segmentation. 1-8 - Yang Liu, Jing Liu, Wei Ni, Liang Song:
Abnormal Event Detection with Self-guiding Multi-instance Ranking Framework. 1-7 - Anwesh Bhattacharya, Marios Mattheakis, Pavlos Protopapas:
Encoding Involutory Invariances in Neural Networks. 1-8 - Ran Dou, José C. Príncipe:
The Extended Kernel Adaptive Autoregressive-Moving-Average Algorithm. 1-6 - Markus Zopf:
Effective and Interpretable Information Aggregation with Capacity Networks. 1-8 - Shaowei Yin, Yan Yang, Jijie Zhang, Tianqi Zhou:
Adaptive Graph Convolutional Networks based on Decouple and Residuals to relieve Over-Smoothing. 1-8 - Fangzhou Xiong, Dongchun Ren, Mingyu Fan, Shuguang Ding, Zhiyong Liu:
Safety-based Reinforcement Learning Longitudinal Decision for Autonomous Driving in Crosswalk Scenarios. 1-8 - Yiting Liu, Hao Li, Maoguo Gong, Jieyi Liu, Yue Wu, Mingyang Zhang, Jiao Shi:
Evolutionary Multitasking CNN Architecture Search for Hyperspectral Image Classification. 1-8 - Canlin Zhang, Xiuwen Liu:
Dense Embeddings Preserving the Semantic Relationships in WordNet. 1-8 - Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, María M. García, Rafael Bello:
Explanation of Multi-Label Neural Networks with Layer-Wise Relevance Propagation. 1-10 - Alice Hein, Stefan Röhrl, Thea Grobel, Manuel Lengl, Nawal Hafez, Martin Knopp, Christian Klenk, Dominik Heim, Oliver Hayden, Klaus Diepold:
A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification. 1-8 - Peibo Li, Yixing Yang, Maurice Pagnucco, Yang Song:
CoGNet: Cooperative Graph Neural Networks. 1-8 - Quynh Tran, Krystsina Shpileuskaya, Elaine Zaunseder, Larissa Putzar, Sven Blankenburg:
Comparing the Robustness of Classical and Deep Learning Techniques for Text Classification. 1-10 - Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal:
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing. 1-8 - Guillaume Levasseur, Hugues Bersini:
Time Series Representation for Real-World Applications of Deep Neural Networks. 1-8 - Ching-Hsun Tseng, Liu-Hsueh Cheng, Shin-Jye Lee, Xiao-Jun Zeng:
Perturbed Gradients Updating within Unit Space for Deep Learning. 1-8 - Junwei Zhang, Zhao Li, Jianmao Xiao, Ming Li:
Neural Network Model Reconstructed from Entangled Quantum States. 1-8 - Sergei Chuprov, Igor Khokhlov, Leon Reznik, Srujan Shetty:
Influence of Transfer Learning on Machine Learning Systems Robustness to Data Quality Degradation. 1-8 - Sean L. McDaniel, Marisel Villafañe-Delgado, Erik C. Johnson:
Investigating Echo State Network Performance with Biologically-Inspired Hierarchical Network Structure. 1-8 - Zhiling Jin, Jing Xu, Ruiqi Huang, Wei Shao, Xiao Xiao:
STM2CN: A Multi-graph Attention-based Framework for Sensor Data Prediction in Smart Cities. 1-8 - Johannes Schneider:
Domain Transformer: Predicting Samples of Unseen, Future Domains. 1-8 - Han Xia, Yiran Wang, Xiaoru Wang, Songkai Xiong, Zhihong Yu:
HKE-GCN: Heatmaps-guided Keypoints Encoder and Graph Convolutional Network for Human Pose Estimation. 1-8 - Ken Lin, Aihua Mao, Jiangfeng Liu:
Regulating Balance Degree for More Reasonable Visual Question Answering Benchmark. 1-7 - Yoshinari Motokawa, Toshiharu Sugawara:
Distributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise. 1-8 - Shaoli Tian, Jun Sang, Xin Qiao, Xinyue Liu, Kai Liu, Xiaofeng Xia:
Crowd Counting based on Density Map Dynamic Refinement. 1-7 - Yajing Sun, Yue Hu, Luxi Xing, Yuqiang Xie, Wei Peng, Yunpeng Li:
Exploiting Semantic and Syntactic Diversity for Diverse Task-oriented Dialogue. 1-8 - Hassam Ullah Sheikh, Shauharda Khadka, Santiago Miret, Somdeb Majumdar, Mariano Phielipp:
Learning Intrinsic Symbolic Rewards in Reinforcement Learning. 1-8 - Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Lei Shi, Noura Al Moubayed:
Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification. 1-6 - Ming-fei Hu, Ze-Yu Liu, Jianwei Liu:
Learning Unsupervised Disentangled Capsule via Mutual Information. 1-8 - Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay:
Unsupervised Hebbian Learning on Point Sets in StarCraft II. 1-8 - Xiyao Ma, Zheng Gao, Qian Hu, Mohamed Abdelhady:
HCL: Hybrid Contrastive Learning for Graph-based Recommendation. 1-8 - Yoshitsugu Kakemoto, Shinichi Nakasuka:
The Role of Chaotic Neural Networks in EVSF-Network. 1-8 - Vineet Kotariya, Udayan Ganguly:
Spiking-GAN: A Spiking Generative Adversarial Network Using Time-To-First-Spike Coding. 1-7 - Sukannya Purkayastha, Saswati Dana, Dinesh Garg, Dinesh Khandelwal, G. P. Shrivatsa Bhargav:
A Deep Neural Approach to KGQA via SPARQL Silhouette Generation. 1-8 - Danyang Xiao, Bokai Cao, Weigang Wu:
EFL-WP: Federated Learning-Based Workload Prediction in Inter-Cloud Environments. 1-10 - Weihang Chen, Li Zhang, Ming Jiang:
Failure Mode Identification of Elastomer for Well Completion Systems using Mask R-CNN. 1-8 - Fanfan Ye, Liang Ma, Qiaoyong Zhong, Di Xie, Shiliang Pu:
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning. 1-8 - Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu:
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. 1-8 - David Fisher, Rishabh Choudhary, Omar Alsayed, Simona Doboli, Ali A. Minai:
A Real-Time Semantic Model for Relevance and Novelty Detection from Group Messages. 1-8 - Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco:
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. 1-8 - Walker L. Dimon, Nicholas B. Chase, Neale Van Stralen, Rupal Nigam, Michael F. Lembeck, Huy T. Tran:
D-AnoGAN: Anomaly Detection in Disconnected Data Manifolds with Generative Adversarial Networks. 1-9 - Cuc Duong, Qian Liu, Rui Mao, Erik Cambria:
Saving Earth One Tweet at a Time through the Lens of Artificial Intelligence. 1-9 - Qinhua Jenny Sun, Khuong Vo, Kitty Lui, Michael D. Nunez, Joachim Vandekerckhove, Ramesh Srinivasan:
Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals. 1-9 - Vidhya Kamakshi, Narayanan C. Krishnan:
Explainable Supervised Domain Adaptation. 1-8 - Rafael Pedro, Arlindo L. Oliveira:
Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions. 1-8 - Sofiane Elguendouze, Marcilio C. P. de Souto, Adel Hafiane, Anaïs Lefeuvre-Halftermeyer:
Towards Explainable Deep Learning for Image Captioning through Representation Space Perturbation. 1-8 - Kai Chen, Yongqiang Ma, Mingyang Sheng, Nanning Zheng:
Foreground-attention in neural decoding: Guiding Loop-Enc-Dec to reconstruct visual stimulus images from fMRI. 1-8 - Nassim Abderrahmane, Benoît Miramond, Erwann Kervennic, Adrien Girard:
SPLEAT: SPiking Low-power Event-based ArchiTecture for in-orbit processing of satellite imagery. 1-10 - Linze Luo, Baisong Liu:
Dual-Contrastive for Federated Social Recommendation. 1-8 - Francesco Pelosin, Andrea Torsello:
Smaller is Better: An Analysis of Instance Quantity/Quality Trade-off in Rehearsal-based Continual Learning. 1-8 - Hazim Hanif, Sergio Maffeis:
VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection. 1-8 - Piotr Luczak, Krzysztof Slot, Jacek Kucharski:
Combining Deep Convolutional Feature Extraction with Hyperdimensional Computing for Visual Object Recognition. 1-8 - Jinwei Liu, Yan Li, Guitao Cao, Yong Liu, Wenming Cao:
Feature Pyramid Vision Transformer for MedMNIST Classification Decathlon. 1-8 - Borun Chen, Rongyi Sun, Yimeng Dai, Hai-Tao Zheng, Rui Zhang:
LordBERT: Embedding Long Text by Segment Ordering with BERT. 1-8 - Mirko Polato, Roberto Esposito, Marco Aldinucci:
Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent. 1-10 - Guillaume Baril, Patrick Cardinal, Alessandro Lameiras Koerich:
Named Entity Recognition for Audio De-Identification. 1-8 - Deepankar Nankani, Rashmi Dutta Baruah:
Atrial Fibrillation Classification and Prediction Explanation using Transformer Neural Network. 1-8 - Alexander Gepperth:
Large-scale gradient-based training of Mixtures of Factor Analyzers. 1-6 - Andersson A. Da Silva, Amanda S. Xavier, David L. Macêdo, Cleber Zanchettin, Adriano L. I. Oliveira:
An Adapted GRASP Approach for Hyperparameter Search on Deep Networks Applied to Tabular Data. 1-8 - Kunyuan Pang, Shasha Li, Jintao Tang, Ting Wang:
Multi-source Representation Enhancement for Wikipedia-style Entity Annotation. 1-8 - Hefei Ling, Shuhui Pan, Yuxuan Shi, Qingsong Li, Ping Li:
A Triplet Deviation Network Framework: Boosting Weakly-supervised Anomaly Detection By Ensemble Learning. 1-8 - Xiu Ma, Leiqi Wang, Qiujian Lv, Yan Wang, Qi Zhang, Jianguo Jiang:
CyEvent2vec: Attributed Heterogeneous Information Network based Event Embedding Framework for Cyber Security Events Analysis. 1-8 - Jin Zhou, Zhenhua Wang, Jiajun Meng, Sheng Liu, Jianhua Zhang, Shengyong Chen:
Human Interaction Recognition with Skeletal Attention and Shift Graph Convolution. 1-8 - Miguel Leon, Tijana Markovic, Sasikumar Punnekkat:
Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection and Attack Classification. 1-8 - Yawen Lu, Guoyu Lu:
An Unsupervised Approach for Simultaneous Visual Odometry and Single Image Depth Estimation. 1-8 - Daniele Zambon, Lorenzo Livi, Cesare Alippi:
Graph iForest: Isolation of anomalous and outlier graphs. 1-8 - Huaji Zhou, Zichen Zhou, Jing Bai:
Electromagnetic Signal Modulation Classification Based on Multimodal Features and Reinforcement Learning. 1-7 - Guochao Zhao, Yan Guo, Fengliang Xia, Chengcheng Ma:
A Multimodal Method for Chinese Spelling Correction. 1-7 - Matteo Cardaioli, Alessio Miolla, Mauro Conti, Giuseppe Sartori, Merylin Monaro, Cristina Scarpazza, Nicolò Navarin:
Face the Truth: Interpretable Emotion Genuineness Detection. 1-8 - Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu:
Sample Condensation in Online Continual Learning. 1-8 - Filip Cornell, Jussi Karlgren, Animesh, Sarunas Girdzijauskas:
Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural Networks. 1-8 - Rongrong Jing, Hu Tian, Xingwei Zhang, Gang Zhou, Xiaolong Zheng, Daniel Zeng:
Self-Training Based Semi-Supervised and Semi-Paired Hashing Cross-Modal Retrieval. 1-8 - Jonathan Dong, Erik Börve, Mushegh Rafayelyan, Michael Unser:
Asymptotic Stability in Reservoir Computing. 1-8 - Raghuram Bharadwaj Diddigi, Prateek Jain, Prabuchandran K. J., Shalabh Bhatnagar:
Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm. 1-10 - Duo Xu, Faramarz Fekri:
Integrating Symbolic Planning and Reinforcement Learning for Following Temporal Logic Specifications. 1-8 - Devdhar Patel, Ignacio Gavier, Joshua Russell, Andrew Malinsky, Edward A. Rietman, Hava T. Siegelmann:
Automatic Transpiler that Efficiently Converts Digital Circuits to a Neural Network Representation. 1-8 - He Zhang, Hanling Zhang:
A Review of Micro-expression Recognition based on Deep Learning. 1-8 - Chang Kong, Qiuming Luo, Guoliang Chen:
Learning Deep Contrastive Network for Facial Age Estimation. 1-7 - Fábio Lima, Tsang Ing Ren, Alexandre Costa:
Wind Power Forecast Based on Transformers and Clustering of Wind Farms with Temporal and Spatial Interdependence. 1-6 - Yiming Zhan, Zhao Li, Xiuhao Zhao, Chao Zhang, Tong Chen:
A Simple Overlapping Relation Extraction Method Based on Dropout. 1-8 - Pallabi Saikia, Kshitij Gundale, Ankit Jain, Dev Jadeja, Harvi Patel, Mohendra Roy:
Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach. 1-8 - Shike Wang, Wen Zhang, Wenyu Guo, Dong Yu, Pengyuan Liu:
Contrastive Learning Based Visual Representation Enhancement for Multimodal Machine Translation. 1-8 - Ghassan Dabane, Laurent U. Perrinet, Emmanuel Daucé:
What You See Is What You Transform: Foveated Spatial Transformers as a bio-inspired attention mechanism. 1-8 - Jianpeng Ke, Lina Wang, Aoshuang Ye, Jie Fu:
Combating Multi-level Adversarial Text with Pruning based Adversarial Training. 1-8 - Ashish Ramayee Asokan, Nidarshan Kumar, Anirudh Venkata Ragam, Shylaja S. Sharath:
Interpretability for Multimodal Emotion Recognition using Concept Activation Vectors. 1-8 - Elena Goyanes, Joaquim de Moura, Jorge Novo, José Ignacio Fernández-Vigo, José Ángel Fernández-Vigo, Marcos Ortega:
Fully-automatic segmentation of the ciliary muscle using anterior segment optical coherence tomography images. 1-8 - Jifeng Sun, Wentao Fu, Jianwu Lin, Yong Jiang, Shu-Tao Xia:
Deep Portfolio Optimization Modeling based on Conv-Transformers with Graph Attention Mechanism. 1-8 - Abhishek Joshi, Sathish Chalasani, Kiran Nanjunda Iyer:
Semantic Driven Energy based Out-of-Distribution Detection. 1-8 - Weronika Borek, Pawel Ksieniewicz:
Inductive Parallel Learning for Multiple Classification Problems. 1-8 - Bowen Liang, Guosheng Kang, Jianxun Liu, Buqing Cao, Jiayan Xiang:
Attentional Neural Factorization Machine for Web Services Classification via Exploring Content and Structural Semantics. 1-8 - Qianying Liao, Bruno Cabral, João Paulo Fernandes, Nuno Lourenço:
Herb: Privacy-preserving Random Forest with Partially Homomorphic Encryption. 1-10 - Robert A. Marsden, Alexander Bartler, Mario Döbler, Bin Yang:
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation. 1-8 - Zhanyi Chen, Changqun Li, Linlin Wang, Liang He:
Abstractive Dialogue Summarization Based on Dynamic Pattern Exploiting Training. 1-7 - Grégor Jouet, Clément Duhart, Jacopo Staiano, Francis Rousseaux, Cyril de Runz:
A Novel Gradient Accumulation Method for Calibration of Named Entity Recognition Models. 1-8 - Carla Pacheco, Mário Guimarães, Eduardo Bezerra:
Exploring Data Preprocessing and Machine Learning Methods for Forecasting Worldwide Fertilizers Consumption. 1-8 - Senwen Li, Liang Ge, Yongquan Lin, Bo Zeng:
Adaptive Spatial-Temporal Fusion Graph Convolutional Networks for Traffic Flow Forecasting. 1-8 - Mingyuan Huang, Pengpeng Zhao, Xuefeng Xian, Jianfeng Qu, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Help from Meta-Path: Node and Meta-Path Contrastive Learning for Recommender Systems. 1-8 - Zi-Hao Cheng, Jian-Wei Liu, Ze Cao:
Hypergraph Neural Network Hawkes Process. 1-6 - Hui Song, A. Kai Qin, Chenggang Yan:
Multi-task Optimization Based Co-training for Electricity Consumption Prediction. 1-8 - Daniele Giunchi, Alejandro Sztrajman, Anthony Steed:
Fast Blue-Noise Generation via Unsupervised Learning. 1-6 - Javier Del Ser, Miren Nekane Bilbao, Ibai Laña, Khan Muhammad, David Camacho:
Efficient Fake News Detection using Bagging Ensembles of Bidirectional Echo State Networks. 1-7 - Jérémie Cabessa:
Turing Computation with Neural Networks Composed of Synfire Rings. 1-8 - Leonardo Kanashiro Felizardo, Elia Yathie Matsumoto, Emilio Del-Moral-Hernandez:
Solving the optimal stopping problem with reinforcement learning: an application in financial option exercise. 1-8 - Toshimitsu Aritake, Hideitsu Hino:
Domain Adaptation with Optimal Transport for Extended Variable Space. 1-9 - Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. 1-8 - Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin:
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. 1-8 - Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
MDCNN-SID: Multi-scale Dilated Convolution Network for Singer Identification. 1-7 - Junhong Wan, Yao Fu, Weihao Jiang, Shiliang Pu, Junlan Yu:
Tackling Over-Smoothing: Graph Hollow Convolution Network with Topological Layer Fusion. 1-9 - Kaipeng Zheng, Liu Cheng, Jie Shen:
Dynamic Relation-Aware Multiple Instance Learning for Few-Shot Learning. 1-6 - Zheyu Ying, Jinglei Zhang, Rui Xie, Guochang Wen, Feng Xiao, Xueyang Liu, Shikun Zhang:
3Rs: Data Augmentation Techniques Using Document Contexts For Low-Resource Chinese Named Entity Recognition. 1-8 - João Machado de Freitas, Sebastian Berg, Bernhard C. Geiger, Manfred Mücke:
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering. 1-8 - Miles Q. Li, Benjamin C. M. Fung, Adel Abusitta:
On the Effectiveness of Interpretable Feedforward Neural Network. 1-8 - Yiyan Huang, Cheuk Hang Leung, Qi Wu, Xing Yan, Shumin Ma, Zhiri Yuan, Dongdong Wang, Zhixiang Huang:
Robust Causal Learning for the Estimation of Average Treatment Effects. 1-9 - Francesco Bardozzo, Mattia delli Priscoli, Toby Collins, Antonello Forgione, Alexandre Hostettler, Roberto Tagliaferri:
Cross X-AI: Explainable Semantic Segmentation of Laparoscopic Images in Relation to Depth Estimation. 1-8 - Jingke She, Shanshan Gong, Suyuan Yang, Hantao Yang, Shaofei Lu:
Xigmoid: An Approach to Improve the Gating Mechanism of RNN. 1-10 - Yanxin Song, Jianzong Wang, Tianbo Wu, Zhangcheng Huang, Jing Xiao:
Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning. 1-7 - Lidia Ghosh, Mousumi Laha, Amit Konar, Saugat Bhattacharya, Atulya K. Nagar:
Fuzzy Relational Approach to Determine Functional Brain Connectivity in Learning Tasks for Dyslexia Children Using an f-NIRS Device. 1-8 - Aoshuang Ye, Lina Wang, Lei Zhao, Jianpeng Ke:
DANCe: Dynamic Adaptive Neuron Coverage for Fuzzing Deep Neural Networks. 1-8 - Pindi Krishna Chandra Prasad, Yash Khare, Kamalaker Dadi, P. K. Vinod, Bapi Raju Surampudi:
Deep Learning Approach for Classification and Interpretation of Autism Spectrum Disorder. 1-8 - Achyut Mani Tripathi, Swarup Ranjan Behera, Konark Paul:
Reverse Adversarial Attack To Enhance Environmental Sound Classification. 1-9 - Hengye Yang, Joy Putney, Usama Bin Sikandar, Pingping Zhu, Simon Sponberg, Silvia Ferrari:
A Relative Spike-Timing Approach to Kernel-Based Decoding Demonstrated for Insect Flight Experiments. 1-7 - Francesco Rundo, Angelo Alberto Messina, Michele Calabretta, Matteo Dilonardo, Salvatore Coffa, Concetto Spampinato:
Deep Learning Car Driver Motion Magnified Saccadic Eye Movements for Advanced Driving Assistance System. 1-9 - Adriell Gomes Marques, Luís Fabrício de F. Souza, Matheus Araujo dos Santos, José Jerovane da Costa Nascimento, Róger Moura Sarmento, Iago Belarmino Lucena, Iágson Carlos Lima Silva, Pedro Pedrosa Rebouças Filho:
Automatic Segmentation of Hemorrhagic Stroke on Brain CT Images Using Convolutional Neural Networks Through Fine-Tuning. 1-8 - Soha A. Nossier, Julie A. Wall, Mansour Moniri, Cornelius Glackin, Nigel Cannings:
Two-Stage Deep Learning Approach for Speech Enhancement and Reconstruction in The Frequency and Time Domains. 1-10 - Alessandro Avi, Andrea Albanese, Davide Brunelli:
Incremental Online Learning Algorithms Comparison for Gesture and Visual Smart Sensors. 1-8 - Nguyen Hong Ngoc, Alvin Chan, Huynh Thi Thanh Binh, Yew Soon Ong:
Anti-Forensic Deepfake Personas and How To Spot Them. 1-8 - James Fox, Bo Zhao, Beatriz Gonzalez del Rio, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song:
Concentric Spherical Neural Network for 3D Representation Learning. 1-8 - Xiaomeng Fu, Xi Wang, Jin Liu, Wantao Liu, Jiao Dai, Jizhong Han:
MakeItSmile: Detail-Enhanced Smiling Face Reenactment. 1-8 - Bogdan Gulowaty, Michal Wozniak:
Search-based framework for transparent non-overlapping ensemble models. 1-6 - Sergiy Tkachuk, Anna Wróblewska, Jacek Dabrowski, Szymon Lukasik:
Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings. 1-7 - Ali Safa, Ilja Ocket, André Bourdoux, Hichem Sahli, Francky Catthoor, Georges G. E. Gielen:
Event Camera Data Classification Using Spiking Networks with Spike-Timing-Dependent Plasticity. 1-8 - Yang Zhang, Huiyong Li, Tao Ren, Yuanbo Dou, Qingfeng Li:
Multi-scale Fusion and Global Semantic Encoding for Affordance Detection. 1-8 - Petr Simánek, Daniel Vasata, Pavel Kordík:
Learning to Optimize with Dynamic Mode Decomposition. 1-8 - Jiaxuan Chen, Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
Proposal of Film-penetrating Transducers for a Spin-wave Reservoir Computing Chip. 1-7 - Huailiang Peng, Yujun Zhang, Hao Sun, Xu Bai, Yangyang Li, Shuhai Wang:
Domain-Aware Federated Social Bot Detection with Multi-Relational Graph Neural Networks. 1-8 - Federico Siciliano, Maria Sofia Bucarelli, Gabriele Tolomei, Fabrizio Silvestri:
NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks. 1-17 - Babatunde Kazeem Olorisade, Pearl Brereton, Peter Andras:
Structural Complexity and Performance of Support Vector Machines. 1-8 - Takumi Suda, Daniel Nikovski:
Deep Reinforcement Learning for Optimal Sailing Upwind. 1-8 - Arijit Ukil, Leandro Marín, Antonio Jara:
ADV-ResNet: Residual Network with Controlled Adversarial Regularization for Effective Classification of Practical Time Series Under Training Data Scarcity Problem. 1-8 - Jun Feng, Haichao Sha, Yukai Ding, Le Yan, Zhangheng Yu:
Graph Convolution Based Spatial-Temporal Attention LSTM Model for Flood Forecasting. 1-8 - Vincenzo Stefano D'Amato, Luca Oneto, Antonio Camurri, Davide Anguita:
The Importance of Multiple Temporal Scales in Motion Recognition: when Shallow Model can Support Deep Multi Scale Models. 1-10 - Wanying Wu, Pengzhi Zhong, Shuiwang Li:
Fisher Pruning for Real-Time UAV Tracking. 1-7 - Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, André Artelt, Barbara Hammer:
Localization of Concept Drift: Identifying the Drifting Datapoints. 1-9 - Amir Jalilifard, Adriano Alonso Veloso:
Drug Repurposing Opportunities in Shapley Space. 1-8 - Yimin Yang, Siamak Mehrkanoon:
AA-TransUNet: Attention Augmented TransUNet For Nowcasting Tasks. 1-8 - Kuo-Yun Liang, Abhishek Srinivasan, Juan Carlos Andresen:
Modular Federated Learning. 1-8 - Lijun Zha, Le Dai, Tong Xu, Di Wu:
A Hierarchical Reinforcement Learning Framework for Stock Selection and Portfolio. 1-7 - Sumit Bam Shrestha, Longwei Zhu, Pengfei Sun:
Spikemax: Spike-based Loss Methods for Classification. 1-7 - Swapna Sasi, Taher Yunus Lilywala, Basabdatta Sen Bhattacharya:
Optimising hyperparameter search in a visual thalamocortical pathway model. 1-8 - Hongying Ma, Wuyang Xue, Rendong Ying, Peilin Liu:
MaxEnt Dreamer: Maximum Entropy Reinforcement Learning with World Model. 1-9 - Sriram Pingali, Prabir Mondal, Daipayan Chakder, Sriparna Saha, Angshuman Ghosh:
Towards Developing a Multi-Modal Video Recommendation System. 1-8 - Qiongzan Ye, Yangbo Gao, Zhenhua Zhang, Yu Chen, Yupeng Li, Min Gao, Shutong Chen, Xin Wang, Yang Chen:
Modeling Access Environment and Behavior Sequence for Financial Identity Theft Detection in E-Commerce Services. 1-8 - Benedikt Bagus, Alexander Gepperth:
A Study of Continual Learning Methods for Q-Learning. 1-9 - Chuan Fang:
DependencyMerge Guided Latent Tree Structure for Aspect-Based Sentiment Analysis. 1-8 - Adriano Alves de Lima, Márcie Venâncio Batista, Jean Paul Barddal, Danilo Sipoli Sanches, Luiz Eduardo Soares de Oliveira:
Assessing Batch and Online Learning for Delivery in Full and On Time Predictions. 1-9 - Suhe Wang, Bo Liu:
Joint Few-Shot Text Classification Aided by Label Semantic and Sentence-Aware Interaction. 1-8 - Xiaopeng Li, Shuqin Li:
Using CNN to improve the performance of the Light-weight ViT. 1-8 - Jianrong Xu, Boyu Diao, Bifeng Cui, Kang Yang, Chao Li, Hailong Hong:
Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration. 1-8 - Kruttidipta Samal, Hemant Kumawat, Marilyn Wolf, Saibal Mukhopadhyay:
A Methodology for Understanding the Origins of False Negatives in DNN Based Object Detectors. 1-8 - Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early and Revocable Time Series Classification. 1-8 - Junkai Huang, Xianliang Jiang, Guang Jin:
Detection of River Floating Debris in UAV Images Based on Improved YOLOv5. 1-8 - Mehdi Cherti, Jenia Jitsev:
Effect of pre-training scale on intra- and inter-domain, full and few-shot transfer learning for natural and X-Ray chest images. 1-9 - Bruno Almeida Pimentel, Jadson Crislan Santos Costa:
A hybrid algorithm for fuzzy clustering based on global and local membership degree. 1-8 - Jiayi Zhao, Yanfeng Sun, Jipeng Guo, Junbin Gao, Baocai Yin:
Robust Graph Convolutional Clustering With Adaptive Graph Learning. 1-8 - Jian Luo, Jianzong Wang, Ning Cheng, Zhenpeng Zheng, Jing Xiao:
Adaptive Activation Network for Low Resource Multilingual Speech Recognition. 1-7 - Thimal Kempitiya, Daswin De Silva, Sachin Kahawala, Dilantha Haputhanthri, Damminda Alahakoon, Evgeny Osipov:
Parameterization of Vector Symbolic Approach for Sequence Encoding Based Visual Place Recognition. 1-7 - Fei Luo, Hangwei Qian, Di Wang, Xu Guo, Yan Sun, Eng Sing Lee, Hui Hwang Teong, Ray Tian Rui Lai, Chunyan Miao:
Missing Value Imputation for Diabetes Prediction. 1-8 - Jakub Klikowski:
Concept drift detector based on centroid distance analysis. 1-8 - James Seale Smith, Zachary Seymour, Han-Pang Chiu:
Incremental Learning with Differentiable Architecture and Forgetting Search. 1-8 - Adedapo Alabi, Dieter Vanderelst, Ali A. Minai:
Context-Dependent Spatial Representations in the Hippocampus using Place Cell Dendritic Computation. 1-8 - Zhi-Yuan Yang, Yi Ji, Ying Li, Chunping Liu:
Selective and Representative Sequence Feature Alignment for Domain Adaptive Detection Transformer. 1-8 - Bisheng Tang, Xiaojun Chen, Dakui Wang, Zhendong Zhao:
KAFNN: A Knowledge Augmentation Framework to Graph Neural Networks. 1-8 - Chanchal Suman, Abhishek Singh, Sriparna Saha, Pushpak Bhattacharyya:
Development of Multi-task Models for Emotion-Aware Gender Prediction. 1-8 - Shijun Wang, Damian Borth:
Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning. 1-8 - Cristiano Cervellera, Danilo Macciò, Francesco Rebora:
Echo state network ensembles for surrogate models with an application to urban mobility. 1-8 - Yifei Chen, Junge Zhang, Qiaozhe Li, Hao Chen, Kaiqi Huang:
FGA-NAS: Fast Resource-Constrained Architecture Search by Greedy-ADMM Algorithm. 1-8 - Mu Hua, Qinbing Fu, Jigen Peng, Shigang Yue, Hao Luan:
Shaping the Ultra-Selectivity of a Looming Detection Neural Network from Non-linear Correlation of Radial Motion. 1-8 - Cristiana Fernandes, Luís Miguel Matos, Duarte Folgado, Maria Lua Nunes, João Rui Pereira, André Luiz Pilastri, Paulo Cortez:
A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors. 1-8 - Mingjie Xu, Yonghong Song, Kangkang Xie, Pengcheng Guo, Jiaxi Mu, Wen Liu, Zhengyang Wang:
Adaptive Sparse Self-attention for Object Detection. 1-8 - Yunlong Xue, Wenming Zheng, Yuan Zong, Hongli Chang, Xingxun Jiang:
Adaptive Hierarchical Graph Convolutional Network for EEG Emotion Recognition. 1-8 - Jaspreet Singh, Chandan Singh:
Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments. 1-8 - Irene Amerini, Mauro Conti, Pietro Giacomazzi, Luca Pajola:
PRaNA: PRNU-based Technique to Tell Real and Deepfake Videos Apart. 1-7 - Xianliang Si, Peipei Li, Xuegang Hu, Yuhong Zhang:
An Online Dirichlet Model based on Sentence Embedding and DBSCAN for Noisy Short Text Stream Clustering. 1-8 - Yonghui Wang, Yang Li, Ke Tu:
Light-Weight Branch-Shared Multi-View Convolutional Neural Networks Crowd Counting. 1-7 - Shiyu Liu, Guitao Cao, Yong Liu, Yan Li, Chunwei Wu, Xidong Xi:
Mix-up Consistent Cross Representations for Data-Efficient Reinforcement Learning. 1-8 - Shuqing Shi, Xiaobin Wang, Dong Hao, Zhiyou Yang, Hong Qu:
Solving Poker Games Efficiently: Adaptive Memory based Deep Counterfactual Regret Minimization. 1-11 - Lin Meng, Haoran Yang, Jiawei Zhang:
Stage Evolving Graph Neural Network based Dynamic Recommendation with Life Cycles. 1-8 - Shaolun Yao, Zunlei Feng, Jie Song, Lingxiang Jia, Zipeng Zhong, Mingli Song:
Chemical Property Relation Guided Few-Shot Molecular Property Prediction. 1-8 - Prashan Wanigasekara, Kechen Qin, Emre Barut, Yang Fan, Weitong Ruan, Chengwei Su:
Semantic VL-BERT: Visual Grounding via Attribute Learning. 1-8 - Xinyu Jiang, Qi Zhang, Chongyang Shi:
Hierarchical Neural Network with Bidirectional Selection Mechanism for Sentiment Analysis. 1-8 - Lincoln Vinicius Schreiber, Lucas Nunes Alegre, Ana L. C. Bazzan, Gabriel de Oliveira Ramos:
On the Explainability and Expressiveness of Function Approximation Methods in RL-Based Traffic Signal Control. 1-8 - Paolo Arena, Maria Francesca Pia Cusimano, Luca Patanè, Poramate Manoonpong:
Ground Reaction Force Estimation in a Quadruped Robot via Liquid State Networks. 1-8 - Jingyu Niu, Yu Hu, Wei Li, Guangyan Huang, Yinhe Han, Xiaowei Li:
Closing the Dynamics Gap via Adversarial and Reinforcement Learning for High-Speed Racing. 1-10 - Shigeo Abe:
Soft Upper-bound Support Vector Machines. 1-8 - Sajib Biswas, Timothy Barao, John Lazzari, Jeret McCoy, Xiuwen Liu, Alexander Kostandarithes:
Geometric Analysis and Metric Learning of Instruction Embeddings. 1-8 - Zhiwei Zhou, Heran Xi, Jinghua Zhu:
SILK-BPR: Identify Implicit Friends with Self-guided Walking for Social Recommendation. 1-7 - Talles Brito Viana, Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
Contrastive Learning of Handwritten Signature Representations for Writer-Independent Verification. 1-9 - Rishabh Choudhary, Omar Alsayed, Simona Doboli, Ali A. Minai:
Building Semantic Cognitive Maps with Text Embedding and Clustering. 1-8 - Mali Halac, Murat Isik, Hasan Ayaz, Anup Das:
Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity. 1-7 - Lingyu Yang, Hongjia Li, Lei Li, Chun Yuan, Shu-Tao Xia:
ACEs: Unsupervised Multi-label Aspect Detection with Aspect-category Experts. 1-8 - Michiel Straat, Kevin Koster, Nick Goet, Kerstin Bunte:
An Industry 4.0 example: real-time quality control for steel-based mass production using Machine Learning on non-invasive sensor data. 1-8 - Hai Shu, Ronghua Shi, Qiran Jia, Hongtu Zhu, Ziqi Chen:
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks. 1-8 - Luxi Xing, Yue Hu, Yuqiang Xie, Wei Peng, Yajing Sun, Chen Zhang:
Calibration of the Multiple Choice Machine Reading Comprehension. 1-8 - Xi Fu, Liming Zhao, Cuntai Guan:
MATN: Multi-model Attention Network for Gait Prediction from EEG. 1-8 - Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series. 1-10 - Amira Guesmi, Khaled N. Khasawneh, Nael B. Abu-Ghazaleh, Ihsen Alouani:
ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints. 1-10 - Shun Li, Zefan Zhang, Yi Ji, Ying Li, Chunping Liu:
Spatio-Temporal Graph-based Semantic Compositional Network for Video Captioning. 1-8 - Di Zhao, Yun Sing Koh, Philippe Fournier-Viger:
Measuring Drift Severity by Tree Structure Classifiers. 1-8 - Hui Li, Yinglin Zheng, Zhaodong Tan, Wenjin Deng:
Improving Person Re-identification with Semantically Aligned Appearance Transformer. 1-8 - Andrea Ceschini, Antonello Rosato, Massimo Panella:
Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction. 1-8 - Katarzyna Filus, Joanna Domanska:
NAM: What Does a Neural Network See? 1-8 - Donglin Wu, Jing Zhao, Ming Li, Ming Shi:
A Knowledge Representation Method for Multiple Pattern Embeddings Based on Entity-Relation Mapping Matrix. 1-8 - Kang Cheng, Gewangzi Du, Tongshuai Wu, Liwei Chen, Gang Shi:
Automated Vulnerable Codes Mutation through Deep Learning for Variability Detection. 1-8 - Juyang Weng:
20 Million-Dollar Problems for Any Brain Models and a Holistic Solution: Conscious Learning. 1-9 - Onatkut Dagtekin, Nina Dethlefs:
Imputation of Partially Observed Water Quality Data Using Self-Attention LSTM. 1-8 - Liguo Zhou, Guang Chen, Alois C. Knoll:
Fast and Accurate Face Detection using Feature Pyramid with Grid Anchors. 1-8 - Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao:
Augmentation-induced Consistency Regularization for Classification. 1-7 - Jarryd Son, Amit Kumar Mishra:
ExGate: Externally Controlled Gating for Feature-based Attention in Artificial Neural Networks. 1-7 - Weiqing Zhou, Siyu Zhan, Bo Dai, Lei Guo:
SOAR: A Learned Join Order Selector with Graph Attention Mechanism. 1-8 - Oleg Gorokhov, Ramazan Fazylov, Maria Kazachuk, Ivan Lazukhin, Igor V. Mashechkin, Liudmila L. Pankratyeva, Ivan Popov:
Bacterial colony detection method for microbiological photographic images. 1-8 - Congrui Zou, Yunfei Yin, Faliang Huang:
Attention-based Emotion-assisted Sentiment Forecasting in Dialogue. 1-8 - Luca Hermes, Barbara Hammer, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling:
A Graph-based U-Net Model for Predicting Traffic in unseen Cities. 1-8 - Udit Arora, Nidhi Goyal, Anmol Goel, Niharika Sachdeva, Ponnurangam Kumaraguru:
Ask It Right! Identifying Low-Quality questions on Community Question Answering Services. 1-8 - Chengdong Shi, Xiao-Jun Zeng:
Machine Learning-Based Approach to Nonlinear Functional Data Analysis for Photovoltaic Power Forecasting. 1-8 - Utkarsh Singhal, Stella X. Yu:
Complex-valued Butterfly Transform for Efficient Hyperspectral Image Processing. 1-8 - Hongzhang Mu, Tingwen Liu, Hongbo Xu:
Learning-to-Learn Agent Adaptation Policy for Abstractive Summarization. 1-7 - Alexander Rehmer, Andreas Kroll:
The effect of the forget gate on bifurcation boundaries and dynamics in Recurrent Neural Networks and its implications for gradient-based optimization. 1-8 - Megan Boucher-Routhier, Artem Pilzak, Annie Theberge Charbonneau, Jean-Philippe Thivierge:
Learning to Stabilize Extreme Neural Machines with Metaplasticity. 1-5 - Itsuki Kubota, Kentaro Takeda, Hiroyuki Torikai:
A novel ergodic cellular automaton cochlear model: reproduction of nonlinear sound processing functions of mammalian cochlea and efficient hardware implementation. 1-8 - Hongyang Zhou, Jiayi Chen, Wen Wu, Wenxin Hu, Wei Zheng, Liang He:
Unexp-DIN: Unexpected Deep Interest Network for Recommendation. 1-8 - Dmitri A. Rachkovskij, Denis Kleyko:
Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences. 1-8 - Matheus K. Venturelli, Pedro H. Gomes, Jonatas Wehrmann:
Looks Like Magic: Transfer Learning in GANs to Generate New Card Illustrations. 1-8 - Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto:
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. 1-10 - Fan Yu, Wei Xi, Zhao Yang, Ziye Tong, Jingtong Sun:
LRTD: A Low-rank Transformer with Dynamic Depth and Width for Speech Recognition. 1-8 - Giovanni Di Gennaro, Armando Ospedale, Antonio Di Girolamo, Amedeo Buonanno, Francesco A. N. Palmieri, Gianfranco Fedele:
Split-word Architecture in Recurrent Neural Networks POS-Tagging. 1-7 - Si-Si Zhang, Jian-Wei Liu:
An Online Recurring Concept Meta-learning For Evolving Streams. 1-7 - Vitor P. Ribeiro, Ângela S. M. Cunha, Sérgio N. Duarte, Carlos R. Padovani, Patricia A. A. Marques, Carlos Dias Maciel, José Antonio P. Balestieri:
Bayesian Network for Hydrological Model: an inference approach. 1-7 - Yinzhe Li, Dan He, Zhijie Ban:
Learning node embedding for inductive link prediction in sparse observation network. 1-7 - Yiming Pan, Yunfei Yin, Faliang Huang:
Keyword-guided Topic-oriented Conversational Recommender System. 1-8 - Satyadwyoom Kumar, Apurva Narayan:
Towards Robust Certified Defense via Improved Randomized Smoothing. 1-8 - Zefang Zhao, Yuyang Liu, Junruo Gao, Haibo Wu, Zhaojuan Yue, Jun Li:
Multi-grained Syntactic Dependency-aware Graph Convolution for Aspect-based Sentiment Analysis. 1-8 - Giuseppe Granato, Alessio Martino, Antonello Rizzi:
A Granular Computing Approach for Multi-Labelled Sequences Classification in IEEE 802.11 Networks. 1-9 - Achyut Mani Tripathi, Aakansha Mishra:
Revamped Knowledge Distillation for Sound Classification. 1-8 - Haotian Wu, Qi Wang:
GEAE: Gated Enhanced Autoencoder based Feature Extraction and Clustering for Customer Segmentation. 1-8 - Ruihai Ge, Yongzheng Zhang, Shuhao Li, Guoqiao Zhou:
A Dual-Branch Self-attention Method for Mobile Malware Detection via Network Traffic. 1-8 - Haowei Wang, Yicheng Pan, Meng Ma, Ping Wang:
When Dynamic Causality Comes to Graph-Temporal Neural Network. 1-9 - Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Alberto F. De Souza, Claudine Badue, Thiago Oliveira-Santos:
Lane Marking Detection and Classification using Spatial-Temporal Feature Pooling. 1-7 - Alvaro Ayuso-Martinez, Daniel Casanueva-Morato, Juan Pedro Dominguez-Morales, Angel Jiménez-Fernandez, Gabriel Jiménez-Moreno:
Spike-based building blocks for performing logic operations using Spiking Neural Networks on SpiNNaker. 1-9 - Zepu Xi:
Distributions-free Martingale test Distributions-shift for Swarm Behavior Prediction. 1-8 - Yu Zhen, Ruimin Hu, Dengshi Li, Yilin Xiao:
User Alignment Across Social Networks Based On ego-Network Embedding. 1-7 - Zihao Zhou, Le Zhang, Rui Zha, Qiming Hao, Tong Xu, Di Wu, Enhong Chen:
Multi-Relational Graph Convolution Network for Stock Movement Prediction. 1-8 - Stephen Friess, Peter Tino, Stefan Menzel, Zhao Xu, Bernhard Sendhoff, Xin Yao:
Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction. 1-8