| 2019 | 31st IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2019, Portland, OR, USA, November 4-6, 2019 |
| 2019 | 3D Convolutional Two-Stream Network for Action Recognition in Videos. Min Li, Yuezhu Qi, Jian Yang, Yanfang Zhang, Junxing Ren, Hong Du |
| 2019 | 5M-Building: A Large-Scale High-Resolution Building Dataset with CNN Based Detection Analysis. Zeshan Lu, Tao Xu, Kun Liu, Zhen Liu, Feipeng Zhou, Qingjie Liu |
| 2019 | A CNN-RNN Hybrid Model with 2D Wavelet Transform Layer for Image Classification. Zihao Dong, Ruixun Zhang, Xiuli Shao |
| 2019 | A Comparative Analysis of Classifiers in the Recognition of Packed Executables. Cecília R. O. Assis, Rodrigo Sanches Miani, Murillo G. Carneiro, Kil Jin Brandini Park |
| 2019 | A Comparison of Contextual Bandit Approaches to Human-in-the-Loop Robot Task Completion with Infrequent Feedback. Matthew McNeill, Damian M. Lyons |
| 2019 | A Decision-Based Dynamic Ensemble Selection Method for Concept Drift. Regis Antonio Saraiva Albuquerque, Albert Franca Josua Costa, Eulanda Miranda dos Santos, Robert Sabourin, Rafael Giusti |
| 2019 | A Divide and Conquer Algorithm for Dominance Testing in Acyclic CP-Nets. Sultan Ahmed, Malek Mouhoub |
| 2019 | A Dynamic Knowledge Generation System for Cognitive Agents. Antonio Lieto, Gian Luca Pozzato, Federico Perrone |
| 2019 | A Location-Aware Strategy for Agents Negotiating Load-Balancing. Quentin Baert, Anne-Cécile Caron, Maxime Morge, Jean-Christophe Routier, Kostas Stathis |
| 2019 | A Meta-Strategy Enhancement for Network Embedding. Hengliang Wang, Yuan Li, Chenfei Zhao, Yi Zhang, Kedian Mu |
| 2019 | A Multi-channel Neural Network for Imbalanced Emotion Recognition. Ran Li, Qingyi Si, Peng Fu, Zheng Lin, Weiping Wang, Gang Shi |
| 2019 | A Multi-index Examination Cheating Detection Method Based on Neural Network. Zhizhuang Li, Zhengzhou Zhu, Teng Yang |
| 2019 | A New Effective Neural Variational Model with Mixture-of-Gaussians Prior for Text Clustering. Miao Li, Hongyin Tang, Beihong Jin, Chengqing Zong |
| 2019 | A Novel Learning Classification Scheme for Brain EEG Patterns. Spyridon Manganas, Nikolaos G. Bourbakis |
| 2019 | A Novel Method to Enhance Recommendation Systems via Leveraging Multiple Types of Implicit Feedbacks. Zhenxu Yao, Zhiyun Chen |
| 2019 | A Novel Proposed Pooling for Convolutional Neural Network. Dou El Kefel Mansouri, Seif-Eddine Benkabou, Bachir Kaddar, Khalid Benabdeslem |
| 2019 | A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks. Dong Wang, Xiao Bai, Lei Zhou, Jun Zhou |
| 2019 | A Probabilistic Forward Search Value Iteration Algorithm for POMDP. Feng Liu, Cheng Lei, Hanyi Liu, Chongjun Wang |
| 2019 | A Robust Single-Sensor Face and Iris Biometric Identification System Based on Multimodal Feature Extraction Network. Zhengding Luo, Qinghua Gu, Gege Qi, Song Liu, Yuesheng Zhu, Zhiqiang Bai |
| 2019 | A Siamese-Detection Network for Real-Time Object Tracking. Yang Deng, Ning Xie, Yang Yang |
| 2019 | A Subspace Hierarchical Clustering Algorithm for Categorical Data. Joel Luís Carbonera, Mara Abel |
| 2019 | A Survey on Applications of Quantified Boolean Formulas. Ankit Shukla, Armin Biere, Luca Pulina, Martina Seidl |
| 2019 | A Theoretical Analysis of Pooling Operation Using Information Theory. Christoforos Nalmpantis, Athanasios Lentzas, Dimitris Vrakas |
| 2019 | A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks. Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu |
| 2019 | AERNs: Attention-Based Entity Region Networks for Multi-Grained Named Entity Recognition. Jianghai Dai, Chong Feng, Xuefeng Bai, Jinming Dai, Huanhuan Zhang |
| 2019 | AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy. Dechun Wang, Ning Zhang, Xinzi Sun, Pengfei Zhang, Chenxi Zhang, Yu Cao, Benyuan Liu |
| 2019 | Accelerating Nash Q-Learning with Graphical Game Representation and Equilibrium Solving. Yunkai Zhuang, Xingguo Chen, Yang Gao, Yujing Hu |
| 2019 | Accurate and Robust RGB-D Dense Mapping with Inertial Fusion and Deformation-Graph Optimization. Yong Liu, Liming Bao, Chaofan Zhang, Wen Zhang, Yingwei Xia |
| 2019 | Adaptive Phone Orientation Method for Continuous Authentication Based on Mobile Motion Sensors. Shixuan Wang, Jiabin Yuan, Jing Wen |
| 2019 | Admissible Generalizations of Examples as Rules. Philippe Besnard, Thomas Guyet, Véronique Masson |
| 2019 | Adversarial Attack Against DoS Intrusion Detection: An Improved Boundary-Based Method. Xiao Peng, Weiqing Huang, Zhixin Shi |
| 2019 | Adversarial Capsule Learning for Network Embedding. Di Jin, Zhigang Li, Liang Yang, Dongxiao He, Pengfei Jiao, Lu Zhai |
| 2019 | Age-Suitability Prediction for Literature Using a Recurrent Neural Network Model. Eric Brewer, Yiu-Kai Ng |
| 2019 | Agnostic Local Explanation for Time Series Classification. Maël Guillemé, Véronique Masson, Laurence Rozé, Alexandre Termier |
| 2019 | Algorithmic Currency Trading Based on Reinforcement Learning Combining Action Shaping and Advantage Function Shaping. Hongyong Sun, Nan Sang, Jia Wu, Chen Wang |
| 2019 | An Adaptive Cross-Layer Sampling-Based Node Embedding for Multiplex Networks. Nianwen Ning, Chenguang Song, Pengpeng Zhou, Yunlei Zhang, Bin Wu |
| 2019 | An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data. Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban |
| 2019 | An Advanced Harmony Search Algorithm Based on Harmony Anchoring and Reverse Learning. Lin Liu, Daming Shi, Dansong Cheng, Maysam Orouskhani |
| 2019 | An Automatic Method for Identifying Huntington's Disease using Gait Dynamics. Juliana Paula Felix, Flávio Henrique Teles Vieira, Gabriel da Silva Vieira, Ricardo Augusto Pereira Franco, Ronaldo Martins da Costa, Rogerio Lopes Salvini |
| 2019 | An Effective Dynamic Programming Algorithm for Optimal Coalition Structure Generation. Narayan Changder, Samir Aknine, Animesh Dutta |
| 2019 | An Efficient Approach for Semantic Relatedness Evaluation Based on Semantic Neighborhood. Alcides Lopes, Renata dos Santos Alvarenga, Joel Luis Carbonera, Mara Abel |
| 2019 | An Efficient Semantic Segmentation Method using Pyramid ShuffleNet V2 with Vortex Pooling. Jiansheng Dong, Jingling Yuan, Lin Li, Xian Zhong, Weiru Liu |
| 2019 | An Efficient Spatial-Temporal Polyp Detection Framework for Colonoscopy Video. Pengfei Zhang, Xinzi Sun, Dechun Wang, Xizhe Wang, Yu Cao, Benyuan Liu |
| 2019 | An Efficient Truth Discovery Mechanism for Crowdsensing Tasks With Temporal and Spatial Correlations. Runzhi Wang, Yu-e Sun, He Huang, Le Lu, Yang Du, Danlei Huang |
| 2019 | An Eigenvector-Enhanced Parallel Adaptive Differential Evolution for Electric Motor Design. Mokhtar Essaid, Mathieu Brévilliers, Julien Lepagnot, Lhassane Idoumghar, Daniel Fodorean |
| 2019 | An End-to-End Abnormal Fastener Detection Method Based on Data Synthesis. Bangyi Dong, Qingyong Li, Jianzhu Wang, Wei Huang, Peng Dai, Shengchun Wang |
| 2019 | An Expansion Convolution Method Based on Local Region Parameter Sharing. Qimao Yang, Jun Guo |
| 2019 | An Improved Hybrid Heuristic Algorithm for Pickup and Delivery Problem with Three-Dimensional Loading Constraints. Jiangqing Wu, Ling Zheng, Can Huang, Sifan Cai, Shaorong Feng, Defu Zhang |
| 2019 | Anomaly Detection, Consider Your Dataset First An Illustration on Fraud Detection. Ayman Alazizi, Amaury Habrard, François Jacquenet, Liyun He-Guelton, Frédéric Oblé, Wissam Siblini |
| 2019 | Ant Colony Optimization Parameters Control Based on Evolutionary Strength. Chen Chang, Jianjun Cao, Nianfeng Weng, Guojun Lv |
| 2019 | Applying Deep Learning and Wearable Devices for Educational Data Analytics. Z. X. Zhou, Vincent W. L. Tam, King-Shan Lui, Edmund Y. Lam, Allan Hoi Kau Yuen, Xiao Hu, Nancy Law |
| 2019 | Approximating Learning Curves for Imbalanced Big Data with Limited Labels. Aaron N. Richter, Taghi M. Khoshgoftaar |
| 2019 | Aspect-Based Sentiment Analysis with Adjustments to Irrelevant Sentimental-Related Features. Huiwen Jiang, Weigang Wu, Jiangtao Ren |
| 2019 | Attribute Reduction for Partially Labeled Data Based on Hypergraph Models. Xiaojun Xie, Xiaolin Qin, Guangmei Huang, Wei Zhao |
| 2019 | AudioMask: Robust Sound Event Detection Using Mask R-CNN and Frame-Level Classifier. Alireza Nasiri, Yuxin Cui, Zhonghao Liu, Jing Jin, Yong Zhao, Jianjun Hu |
| 2019 | Automated Mechanism Design: Compact and Decomposition Linear Programming Models. Brigitte Jaumard, Kia Babashahi Ashtiani, Nicolas Huin |
| 2019 | Automatic 2D-to-3D Video Conversion using 3D Densely Connected Convolutional Networks. Bei Chen, Jiabin Yuan, Xiuping Bao |
| 2019 | Automatic Identification of Alzheimer's Disease and Epilepsy Based on MRI. Xijue Zhang, Wanling Li, Wangshu Shen, Lin Zhang, Xiaorong Pu, Lei Chen |
| 2019 | Automating Elevator Design with Satisfiability Modulo Theories. Stefano Demarchi, Marco Menapace, Armando Tacchella |
| 2019 | Automating Personnel Rostering by Learning Constraints Using Tensors. Mohit Kumar, Stefano Teso, Patrick De Causmaecker, Luc De Raedt |
| 2019 | BERT for Stock Market Sentiment Analysis. Matheus Gomes Sousa, Kenzo Miranda Sakiyama, Lucas de Souza Rodrigues, Pedro Henrique Moraes, Eraldo Rezende Fernandes, Edson Takashi Matsubara |
| 2019 | Bayesian Anytime m-top Exploration. Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé |
| 2019 | Bayesian Deep Learning Based Exploration-Exploitation for Personalized Recommendations. Xin Wang, Serdar Kadioglu |
| 2019 | Bayesian Network Learning for Classification via Transfer Method. April Hua Liu, Zihao Cheng, Justin Jiang |
| 2019 | Benchmarking Symbolic Execution Using Constraint Problems - Initial Results. Sahil Verma, Roland H. C. Yap |
| 2019 | Budget-Constrained Demand-Weighted Network Design for Resilient Infrastructure. Amrita Gupta, Bistra Dilkina |
| 2019 | CPDM: An Efficient Crowdsensing-Based Pothole Detection and Measurement System Design. Xiaofeng Zhao, Xiaocan Wu, Yu-e Sun, He Huang, Yang Du, Zhen Cao |
| 2019 | Cancer Classification Using Microarray Data By DPCAForest. Xiaoheng Deng, Yuebin Xu |
| 2019 | Cases and Clusters in Reuse Policies for Decision-Making in Card Games. Gustavo Bathu Paulus, Joaquim Vinicius Carvalho Assunção, Luís A. Lima Silva |
| 2019 | Cases without Borders: Automating Knowledge Acquisition Approach using Deep Autoencoders and Siamese Networks in Case-Based Reasoning. Kareem Amin |
| 2019 | Centrality Heuristics for Exact Model Counting. Bernhard Bliem, Matti Järvisalo |
| 2019 | Classification of Infiltrated Injections During PET/CT Imaging Applying Deep Learning Technique. Tasmia Rahman Tumpa, Shelley N. Acuff, Dustin R. Osborne |
| 2019 | Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs. Tongwen Wu, Zizhen Zhang, Yanzhi Li, Jiahai Wang |
| 2019 | Collision-Free Path Finding for Dynamic Gaming and Real Time Robot Navigation. Roopam Bamal |
| 2019 | Combining Constraint Languages via Abstract Interpretation. Pierre Talbot, David Cachera, Éric Monfroy, Charlotte Truchet |
| 2019 | Constrained State-Preserved Extreme Learning Machine. Garrett Goodman, Cogan Shimizu, Iosif Papadakis Ktistakis |
| 2019 | Coordination in Adversarial Multi-Agent with Deep Reinforcement Learning Under Partial Observability. Elhadji Amadou Oury Diallo, Toshiharu Sugawara |
| 2019 | Cost-Effective Prediction in Medicine and Marketing: Only the Difference Between Bayesian Model Averaging and the Single Best-Fit Model. Paul J. Darwen |
| 2019 | Crowd Counting via Enhanced Feature Channel Convolutional Neural Network. Yinlong Bian, Jie Shen, Xin Xiong, Ying Li, Wei He, Peng Li |
| 2019 | DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement. Qing Yang, Jiachen Mao, Zuoguan Wang, Hai Li |
| 2019 | Data-Driven Gene Regulatory Network Inference Based on Classification Algorithms. Sergio Peignier, Pauline Schmitt, Federica Calevro |
| 2019 | Deep Active Imitation Learning in FIFA Free-Kicks Player Platforms Based on Raw Image and Object Detection State Representations. Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz |
| 2019 | Deep Captioning Hashing Network for Complex Scene Image Retrieval. Song Liu, Jiawei Zhan, Zhengding Luo, Gege Qi, Zhiqiang Bai, Yuesheng Zhu |
| 2019 | Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions. Hesham Al-Bataineh, Wael Farhan, Ahmad Mustafa, Haitham Seelawi, Hussein T. Al-Natsheh |
| 2019 | Deep Convolutional Neural Network Based Object Detector for X-Ray Baggage Security Imagery. Jinyi Liu, Xiaxu Leng, Ying Liu |
| 2019 | Deep Learning Poison Data Attack Detection. Henry Chacon, Samuel Silva, Paul Rad |
| 2019 | Deep Multi-label Hashing for Image Retrieval. Xian Zhong, Jiachen Li, Wenxin Huang, Liang Xie |
| 2019 | Deep Reinforcement Learning for Time Optimal Velocity Control using Prior Knowledge. Gabriel Hartmann, Zvi Shiller, Amos Azaria |
| 2019 | Deep Reinforcement Learning with Model-Based Acceleration for Hyperparameter Optimization. Senpeng Chen, Jia Wu, Xiuyun Chen |
| 2019 | Deep Unsupervised Progressive Learning for Distant Domain Adaptation. Suncheng Xiang, Yuzhuo Fu, Ting Liu |
| 2019 | Design and Research of Composite Web Page Classification Network Based on Deep Learning. Qiuhan Zhao, Wenchuan Yang, Rui Hua |
| 2019 | Detecting Sentences that May be Harmful to Children with Special Needs. Merav Allouch, Amos Azaria, Rina Azoulay |
| 2019 | Differential Evolution Using Linkage Identification. Hitoshi Iima, Keijiro Yokoyama |
| 2019 | Directional Search Algorithm and its Utilization of Simulated Annealing and Expand-Retract. Beom Jin An, Alexander S. Mentis |
| 2019 | Distant-Supervised Relation Extraction with Hierarchical Attention Based on Knowledge Graph. Hong Yao, Lijun Dong, Shiqi Zhen, Xiaojun Kang, Xinchuan Li, Qingzhong Liang |
| 2019 | Document Clustering and Topic Modeling: A Unified Bayesian Probabilistic Perspective. Gianni Costa, Riccardo Ortale |
| 2019 | Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network. Abenezer Girma, Xuyang Yan, Abdollah Homaifar |
| 2019 | Dynamic Multi-objective Evolutionary Algorithm with Fuzzy Weighted Borda Count Method. Maysam Orouskhani, Daming Shi, Lin Liu |
| 2019 | Dynamic Multi-population Artificial Bee Colony Algorithm. Xinyu Zhou, Yiwen Ling, Maosheng Zhong, Mingwen Wang |
| 2019 | Dynamically Scoring Rhymes with Phonetic Features and Sequence Alignment. Benjamin Bay, Paul M. Bodily, Dan Ventura |
| 2019 | ECPNet: An Efficient Attention-Based Convolution Network with Pseudo-3D Block for Human Action Recognition. Xiuping Bao, Jiabin Yuan, Bei Chen |
| 2019 | EPMS: A Framework for Large-Scale Patient Matching. Himanshu Singhal, Harish Ravi, Sathiya Narayan Chakravarthy, Prabavathy Balasundaram, Chitra Babu |
| 2019 | Effects of Integrated Instance-Random-Sampling and Feature Reduction on Classifiers Performance and Training Speed. Reham M. Alamro, Abdou Youssef |
| 2019 | Element-Aware Legal Judgment Prediction for Criminal Cases with Confusing Charges. Shang Li, Boyang Liu, Lin Ye, Hongli Zhang, Binxing Fang |
| 2019 | EmbML Tool: Supporting the use of Supervised Learning Algorithms in Low-Cost Embedded Systems. Lucas Tsutsui da Silva, Vinícius M. A. de Souza, Gustavo E. A. P. A. Batista |
| 2019 | Embedding Learning with Heterogeneous Event Sequence for Insider Threat Detection. Jiarong Wang, Lijun Cai, Aimin Yu, Dan Meng |
| 2019 | Enhancing Profit by Predicting Stock Prices using Deep Neural Networks. Soheila Abrishami, Michael Turek, Ahana Roy Choudhury, Piyush Kumar |
| 2019 | Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts. Qiongxing Tao, Xiangfeng Luo, Hao Wang, Richard Y. D. Xu |
| 2019 | EsiNet: Enhanced Network Representation via Further Learning the Semantic Information of Edges. Anqing Zheng, Chong Feng, Fang Yang, Huanhuan Zhang |
| 2019 | Estimating Vehicle Speed on Highway Roads from Smartphone Sensors Using Deep Learning Models. Norhan Elsayed Amer Abdelgawad, Ahmed El-Mahdy, Walid Gomaa, Amin A. Shoukry |
| 2019 | Evaluating Different Metric Configurations of an Evolutionary Wrapper for Attack Detection. Javier Maldonado, María Cristina Riff |
| 2019 | Experience Selection in Multi-agent Deep Reinforcement Learning. Yishen Wang, Zongzhang Zhang |
| 2019 | Experience Sharing Between Cooperative Reinforcement Learning Agents. Lucas Oliveira Souza, Gabriel de Oliveira Ramos, Célia Ghedini Ralha |
| 2019 | Exploiting Data Mining Techniques for Compressing Table Constraints. Soufia Bennai, Kamal Amroun, Samir Loudni |
| 2019 | Exploring Numerical Calculations with CalcNet. Ashish Rana, Avleen Kaur Malhi, Kary Främling |
| 2019 | Extending the Aerial Image Analysis from the Detection of Tree Crowns. Gabriel da Silva Vieira, Bruno M. Rocha, Fabrízzio Alphonsus A. M. N. Soares, Junio Cesar de Lima, Hélio Pedrini, Ronaldo Martins da Costa, Júlio César Ferreira |
| 2019 | FMNet: Feature Mining Networks for Brain Tumor Segmentation. Fengming Lin, Ju Liu, Qiang Wu, Xiangmao Kong, Wali Ullah Khan, Wei Shi, Enshuai Pang |
| 2019 | FPSeq: Simplifying and Accelerating Task-Oriented Dialogue Systems via Fully Parallel Sequence-to-Sequence Framework. Meina Song, Zhongfu Chen, Peiqing Niu, Haihong E |
| 2019 | Facial Expression Recognition: Residue Learning Using SVM. Fangjun Wang, Liping Shen |
| 2019 | Fair Kernel Regression via Fair Feature Embedding in Kernel Space. Austin Okray, Hui Hu, Chao Lan |
| 2019 | Feature Space Regularization for Person Re-identification with One Sample. Tian Xu, Jiangli Li, Hao Wu, Huafeng Yang, Xiaoming Gu, Yanqiu Chen |
| 2019 | Feature-Selected and -Preserved Sampling for High-Dimensional Stream Data Summary. Ling Lin, Qian Yu, Wen Ji, Yang Gao |
| 2019 | Federated Learning of Unsegmented Chinese Text Recognition Model. Xinghua Zhu, Jianzong Wang, Zhenhou Hong, Tian Xia, Jing Xiao |
| 2019 | Fence GAN: Towards Better Anomaly Detection. Cuong Phuc Ngo, Amadeus Aristo Winarto, Connie Khor Li Kou, Sojeong Park, Farhan Akram, Hwee Kuan Lee |
| 2019 | Few-Shot Learning for Monocular Depth Estimation Based on Local Object Relationship. Shuai Li, Jiaying Shi, Wenfeng Song, Aimin Hao, Hong Qin |
| 2019 | Fine-Grained Image Classification Combined with Label Description. Xiruo Shi, Liutong Xu, Pengfei Wang |
| 2019 | Flooding-Driven Modifications of a Hierarchical and Irregular Navigation Grid Structure for Large Virtual Terrains used in Simulation Systems. Evaristo José Do Nascimento, Eliakim Zacarias, Daniel Matheus Doebber, Edison Pignaton de Freitas, Luís Alvaro de Lima Silva |
| 2019 | Focus Generator with Score Classification on Fabric Defect Detection. Yingjie Qin, Ming Chen, Lizhe Qi, Yunquan Sun |
| 2019 | Fusing Vector Space Models for Domain-Specific Applications. Laura Rettig, Julien Audiffren, Philippe Cudré-Mauroux |
| 2019 | GLSE: Global-Local Selective Encoding for Response Generation in Neural Conversation Model. Hongli Wang, Jiangtao Ren |
| 2019 | GLmser: A GAN-Lmser Network for Image-to-Image Translation. Haote Yang, Shikui Tu |
| 2019 | Generating Reduced Tests for FSMs using a Search-Based Testing Approach. Mariana Soller Ramada, Telma Woerle de Lima, Anderson da Silva Soares, Adenilso Simão |
| 2019 | Generative Adversarial Learning Based Commercial Building Electricity Time Series Prediction. Yue Pang, Xiangdong Zhou, Donghui Xu, Zijing Tan, Mingxi Zhang, Naiwang Guo, Yingjie Tian |
| 2019 | Gorthaur: A Portfolio Approach for Dynamic Selection of Multi-Armed Bandit Algorithms for Recommendation. Nicolas Gutowski, Tassadit Amghar, Olivier Camp, Fabien Chhel |
| 2019 | Graph Attention Networks for Neural Social Recommendation. Nan Mu, Daren Zha, Yuanye He, Zhihao Tang |
| 2019 | Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems. Henrique Lemos, Marcelo O. R. Prates, Pedro H. C. Avelar, Luís C. Lamb |
| 2019 | Graph-Based Attention Networks for Aspect Level Sentiment Analysis. Junjie Chen, Hongxu Hou, Yatu Ji, Jing Gao, Tiangang Bai |
| 2019 | Guaranteed Diversity & Quality for the Weighted CSP. Manon Ruffini, Jelena Vucinic, Simon de Givry, George Katsirelos, Sophie Barbe, Thomas Schiex |
| 2019 | Harnessing GAN with Metric Learning for One-Shot Generation on a Fine-Grained Category. Yusuke Ohtsubo, Tetsu Matsukawa, Einoshin Suzuki |
| 2019 | Heterogeneous Transfer Clustering for Partial Co-occurrence Data. Xiangyang Ye, Liu Yang, Qinghua Hu, Chenyang Shen, Liping Jing, Zhibin Du |
| 2019 | High-Speed Rail Operating Environment Recognition Based on Neural Network and Adversarial Training. Xiaoxue Hou, Jie An, Miaomiao Zhang, Bowen Du, Jing Liu |
| 2019 | High-Value Prioritized Experience Replay for Off-Policy Reinforcement Learning. Xi Cao, Huaiyu Wan, Youfang Lin, Sheng Han |
| 2019 | Hybrid-TE: Hybrid Translation-Based Temporal Knowledge Graph Embedding. Zhihao Wang, Xin Li |
| 2019 | Hyperparameter Tuning using Quantum Genetic Algorithms. Athanasios Lentzas, Christoforos Nalmpantis, Dimitris Vrakas |
| 2019 | Impact of Argument Type and Concerns in Argumentation with a Chatbot. Lisa Andreevna Chalaguine, Anthony Hunter, Henry W. W. Potts, Fiona Hamilton |
| 2019 | Implementing Ranking-Based Semantics in ConArg. Stefano Bistarelli, Francesco Faloci, Carlo Taticchi |
| 2019 | Improving Bandit-Based Recommendations with Spatial Context Reasoning: An Online Evaluation. Nicolas Gutowski, Olivier Camp, Fabien Chhel, Tassadit Amghar, Patrick Albers |
| 2019 | Improving Irregular Text Recognition by Integrating Gabor Convolutional Network. Zhaohong Guo, Hui Xu, Feng Lu, Qiufeng Wang, Xiangdong Zhou, Yu Shi |
| 2019 | Improving Prediction Fairness via Model Ensemble. Dheeraj Bhaskaruni, Hui Hu, Chao Lan |
| 2019 | Improving the Accuracy of Principal Component Analysis by the Maximum Entropy Method. Guihong Wan, Crystal Maung, Haim Schweitzer |
| 2019 | Incorporating Domain Knowledge in Learning Word Embedding. Arpita Roy, Youngja Park, Shimei Pan |
| 2019 | Information-Theoretic Ensemble Learning for DDoS Detection with Adaptive Boosting. Monowar H. Bhuyan, Maode Ma, Youki Kadobayashi, Erik Elmroth |
| 2019 | Integrating an Attention Mechanism and Deep Neural Network for Detection of DGA Domain Names. FangLi Ren, Zhengwei Jiang, Jian Liu |
| 2019 | Intention Interleaving Via Classical Replanning. Mengwei Xu, Kevin McAreavey, Kim Bauters, Weiru Liu |
| 2019 | Internet of Things Security Analytics and Solutions with Deep Learning. Luke Holbrook, Miltiadis Alamaniotis |
| 2019 | KNORA-IU: Improving the Dynamic Selection Prediction in Imbalanced Credit Scoring Problems. Leopoldo Melo Junior, Franco Maria Nardini, Chiara Renso, José A. F. de Macêdo |
| 2019 | Knowledge Graph Embedding by Bias Vectors. Minjie Ding, Weiqin Tong, Xuehai Ding, Xiaoli Zhi, Xiao Wang, Guoqing Zhang |
| 2019 | Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data. Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri |
| 2019 | Learning Fuzzy SPARQL User Preferences. Olfa Slama, Anis Yazidi |
| 2019 | Learning Linear Programs from Data. Elias Arnold Schede, Samuel Kolb, Stefano Teso |
| 2019 | Learning Sparse Support Vector Machine with Relaxation and Rounding. Xiangyu Tian, Shizhong Liao |
| 2019 | Learning Spatial-Corrected Regularized Correlation Filters for Visual Tracking. Zhaobing Yang, Jing Wu, Chengnian Long |
| 2019 | Learning to Drive via Apprenticeship Learning and Deep Reinforcement Learning. Wenhui Huang, Francesco Braghin, Zhuo Wang |
| 2019 | MABWiser: A Parallelizable Contextual Multi-Armed Bandit Library for Python. Emily Strong, Bernard Kleynhans, Serdar Kadioglu |
| 2019 | MALP: A More Effective Meta-Paths Based Link Prediction Method in Partially Aligned Heterogeneous Social Networks. Kai Zhu, Meng Cao, Heng-Yang Lu |
| 2019 | METAPHOR - A Multiagent Architecture using IoT and Classification Algorithms for Referral Postoperative Patients. Afonso B. L. Neto, Tibério C. J. Loureiro, Marcial Porto Fernandez, Jerry Vasconcelos, Fernando A. M. Trinta |
| 2019 | MOPNAR-II: An Improved Multi-Objective Evolutionary Algorithm for Mining Positive and Negative Association Rules. Tao Zhang, Lianbo Ma, Guangming Yang |
| 2019 | Manifold Regularized Stochastic Block Model. Tiantian He, Lu Bai, Yew-Soon Ong |
| 2019 | Math Expression Image Retrieval via Attention-Based Framework. Caili Wu, Zhao Zhou, Hao Ye, Jing Yang, Liang He |
| 2019 | Memory Efficient Parallel SAT Solving with Inprocessing. Ashlin Iser, Tomás Balyo, Carsten Sinz |
| 2019 | Metric Learning from Imbalanced Data. Léo Gautheron, Amaury Habrard, Emilie Morvant, Marc Sebban |
| 2019 | Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features. Qilei Chen, Xinzi Sun, Ning Zhang, Yu Cao, Benyuan Liu |
| 2019 | Modeling Missing Data Based on Neural Fuzzy Inference for Implicit Recommendation. Weina Zhang, Xingming Zhang, Haoxiang Wang |
| 2019 | Modeling Uncertainty and Inaccuracy on Data from Crowdsourcing Platforms: MONITOR. Constance Thierry, Jean-Christophe Dubois, Yolande Le Gall, Arnaud Martin |
| 2019 | Monaural Music Source Separation using a ResNet Latent Separator Network. Gino Brunner, Nawel Naas, Sveinn Palsson, Oliver Richter, Roger Wattenhofer |
| 2019 | Monte Carlo Tree Search with Variable Simulation Periods for Continuously Running Tasks. Seydou Ba, Takuya Hiraoka, Takashi Onishi, Toru Nakata, Yoshimasa Tsuruoka |
| 2019 | Motion Coordination of Multiple Robots Based on Deep Reinforcement Learning. Xiuzhao Hao, Zhihao Wu, Haiguang Zhou, Xiangpeng Bai, Youfang Lin, Sheng Han |
| 2019 | Multi-agent Path Planning with Heterogeneous Cooperation. Keisuke Otaki, Satoshi Koide, Keiichiro Hayakawa, Ayano Okoso, Tomoki Nishi |
| 2019 | Multi-classfication Sentiment Analysis Based on the Fused Model. Yingbin Xue, Xiaoye Wang, Zan Gao |
| 2019 | Multi-granularity Position-Aware Convolutional Memory Network for Aspect-Based Sentiment Analysis. Yuanyuan Pan, Jun Gan, Xiangying Ran, Chongjun Wang |
| 2019 | Multi-graph Convolution Network with Jump Connection for Event Detection. Xiangbin Meng, Pengfei Wang, Haoran Yan, Liutong Xu, Jiafeng Guo, Yixing Fan |
| 2019 | Multi-label Emotion Classification in Music Videos Using Ensembles of Audio and Video Features. Bruno Kostiuk, Yandre M. G. Costa, Alceu de Souza Britto Jr., Xiao Hu, Carlos N. Silla |
| 2019 | Multi-task Learning for Relation Extraction. Kai Zhou, Xiangfeng Luo, Hao Wang, Richard Y. D. Xu |
| 2019 | Neural Network Approximation for Nonlinear Partial Differential Equations with Quasi-Newton Optimization and Piecewise Strategy. Yu Jin, Ying Li |
| 2019 | New Approaches to the Identification of Dependencies between Requirements. Ralph Samer, Martin Stettinger, Müslüm Atas, Alexander Felfernig, Guenther Ruhe, Gouri Deshpande |
| 2019 | No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization. Thiago de P. Vasconcelos, Daniel Augusto R. M. A. de Souza, César L. C. Mattos, João P. P. Gomes |
| 2019 | Object Detection Boosting using Object Attributes in Detect and Describe Framework. Muhammad Jahanzeb Khan, Adeel Zafar, Valeriia Tumanian, Ding Yue, Guoqiang Li |
| 2019 | On Solving Exactly-One-SAT. Yazid Boumarafi, Yakoub Salhi |
| 2019 | On the Convergence Speed of AMSGRAD and Beyond. Tao Tan, Shiqun Yin, Kunling Liu, Man Wan |
| 2019 | Online Kernel Selection via Grouped Adversarial Bandit Model. Junfan Li, Shizhong Liao |
| 2019 | Opinion Spam Detection Based on Heterogeneous Information Network. Yingcheng Sun, Kenneth A. Loparo |
| 2019 | Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection. Mathilde Fekom, Nicolas Vayatis, Argyris Kalogeratos |
| 2019 | Optimizing Training using Information Theory-Based Curriculum Learning Factory. Henok Ghebrechristos, Gita Alaghband |
| 2019 | Optimizing Value of Information Over an Infinite Time Horizon. Sarthak Ghosh, C. R. Ramakrishnan |
| 2019 | Optimizing the Parameters for Post-Processing Consumer Photos via Machine Learning. Linlin Bie, Xu Wang, Jari Korhonen |
| 2019 | Parallel Gym Gazebo: a Scalable Parallel Robot Deep Reinforcement Learning Platform. Zhen Liang, Zhongxuan Cai, Minglong Li, Wenjing Yang |
| 2019 | Partial Attribute-Driven Video Person Re-Identification. Wanru Song, Jieying Zheng, Yahong Wu, Changhong Chen, Feng Liu |
| 2019 | Pre-training of Autoregressive Model for Aircraft Hard Landing Prediction Based on QAR Data. Yucheng Lu, Tongyu Zhu |
| 2019 | Predicting Judicial Decisions: A Statistically Rigorous Approach and a New Ensemble Classifier. Andrea Visentin, Alessia Nardotto, Barry O'Sullivan |
| 2019 | Predicting User Reported Symptoms Using a Gated Neural Network. Lahari Poddar, Wynne Hsu, Mong-Li Lee |
| 2019 | Proximal Policy Optimization with Mixed Distributed Training. Zhenyu Zhang, Xiangfeng Luo, Tong Liu, Shaorong Xie, Jianshu Wang, Wei Wang, Yang Li, Yan Peng |
| 2019 | Quantum-Inspired DMATT-BiGRU for Conversational Sentiment Analysis. Peng Guo, Junwei Zhang, Yuexian Hou, Xiujun Gong, Panpan Wang, Yazhou Zhang |
| 2019 | Query Answering from Traditional Dance Videos: Case Study of Zapin Dances. Sihem Belabbes, Chi Wee Tan, Tri-Thuc Vo, Yacine Izza, Karim Tabia, Sylvain Lagrue, Salem Benferhat |
| 2019 | Random Vector Functional Link with Naive Bayes for Classification Problems of Mixed Data. Gonzalo A. Ruz, Pablo A. Henríquez |
| 2019 | Random Walk-Based Top-k Tag Generation in Bipartite Networks of Entity-Term Type. Mingxi Zhang, Guanying Su, Wei Wang |
| 2019 | Real-Coded Genetic Algorithm Realizing Fast Convergence by Reducing Its Population Size. Kazuki Nishisaka, Hitoshi Iima |
| 2019 | Reasoning About Future Cyber-Attacks Through Socio-Technical Hacking Information. Ericsson Marin, Mohammed Almukaynizi, Paulo Shakarian |
| 2019 | Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. Kun Wan, Shu Yang, Boyuan Feng, Yufei Ding, Lingwei Xie |
| 2019 | Recovering Extremely Degraded Faces by Joint Super-Resolution and Facial Composite. Xiu Li, Guichun Duan, Zhouxia Wang, Jimmy S. J. Ren, Yongbing Zhang, Jiawei Zhang, Kaixiang Song |
| 2019 | Refining Constraint Weighting. Hugues Wattez, Christophe Lecoutre, Anastasia Paparrizou, Sébastien Tabary |
| 2019 | RegCNN: A Deep Multi-output Regression Method for Wastewater Treatment. Luoyi Zhang, Xiaowen Ma, Peng Shi, Sheng Bi, Chongjun Wang |
| 2019 | Regularized Non-Negative Spectral Embedding for Clustering. Yifei Wang, Rui Liu, Yong Chen, Hui Zhang, Zhiwen Ye |
| 2019 | Residual Neural Network Based Classification of Macular Edema in OCT. Yueyao Huang, Junjie Hu |
| 2019 | Rethink Gaussian Denoising Prior for Real-World Image Denoising. Tianyang Wang, Jun Huan, Bo Li, Kaoning Hu |
| 2019 | Reverse Auction Based Incentive Order Matching Mechanism for Real-Time Ride-Sharing. Bing Shi, Liquan Zhu, Yikai Luo |
| 2019 | Robust Point Set Registration with Mixture Re-Weighting Based on Relative Geometric Structures. Yucheng Shu, Zhenlong Liao, Dan Luo |
| 2019 | Routing Sales Territory by Solving a Multi-objective TSP Variant with Evolutionary Algorithms. Sávio Menezes Sampaio, Altino Dantas, Celso G. Camilo-Junior |
| 2019 | SARC: Split-and-Recombine Networks for Knowledge-Based Recommendation. Weifeng Zhang, Yi Cao, Congfu Xu |
| 2019 | SLAOE-NN: A Deep Network with Structure Learning for Aspect and Opining co-Extraction for NLP. Kunling Liu, Shiqun Yin, Tao Tan |
| 2019 | SOON: Specifically Optimized One-Stage Network for Object Detection in Remote Sensing Imagery. Zhuo Wang, Haonan Qin, Yunsong Li, Jie Lei, Weiying Xie |
| 2019 | Salient Textural Anomaly Proposals and Classification for Metal Surface Anomalies. Vidhya Natarajan, Shangbo Mao, Liang-Tien Chia |
| 2019 | Scaling up Prediction of Psychosis by Natural Language Processing. Dong Si, Sunny Chieh Cheng, Ruiwen Xing, Chang Liu, Hoi Yan Wu |
| 2019 | Self-Learned Feature Reconstruction and Offset-Dilated Feature Fusion for Real-Time Semantic Segmentation. Gege Qi, Lin Pan, Song Liu, Zhengding Luo, Yuesheng Zhu |
| 2019 | Self-Organizing Traffic Based on Dynamic Platoon Configuration. Maxime Guériau |
| 2019 | Semi-Supervised Cross-Modal Hashing Based on Label Prediction and Distance Preserving. Xu Zhang, Xin Tian, Bing Yang, Zuyu Zhang, Yan Li |
| 2019 | Semi-Supervised Ovulation Detection Based on Multiple Properties. Amos Azaria, Seagal Azaria |
| 2019 | Sensory Substitution of Vision: A Systematic Mapping and a Deep Learning Object Detection Proposition. Elze Pinheiro Lima Neto, Ronaldo Martins da Costa, Deborah Silva Alves Fernandes, Fabrízzio Alphonsus Alves de Melo Nunes Soares |
| 2019 | Sentence-Level Semantic Features Guided Adversarial Network for Zhuang Language Part-of-Speech Tagging. Zhixin Li, Yaru Sun, Suqin Tang, Canlong Zhang, Huifang Ma |
| 2019 | Sentiment-Aware Short Text Classification Based on Convolutional Neural Network and Attention. Zeyu Chen, Yan Tang, Zuowei Zhang, Chengyang Zhang, Luwei Wang |
| 2019 | Shallow Deep Learning: Embedding Verbatim K-Means in Deep Neural Networks. Len Du |
| 2019 | Short-Spoken Language Intent Classification with Conditional Sequence Generative Adversarial Network. Xinyu Zhou, Yang Peng |
| 2019 | Solving Six-Player Games via Online Situation Estimation. Huale Li, Xuan Wang, Shuhan Qi, Yang Liu, Haojie Wang, Fengwei Jia, Jiajia Zhang |
| 2019 | Solving Traveling Salesman Problem with Image-Based Classification. Shoma Miki, Hiroyuki Ebara |
| 2019 | Solving the Defect in Application of Compact Abating Probability to Convolutional Neural Network Based Open Set Recognition. Xiangyuan Sun, Xiaoyong Li, Kaijun Ren, Junqiang Song |
| 2019 | Some Improvements of Deep Knowledge Tracing. Ange Tato, Roger Nkambou |
| 2019 | Sparse High-Level Attention Networks for Person Re-Identification. Sheng Xie, Canlong Zhang, Zhixin Li, Zhi-Wen Wang |
| 2019 | Stealthy Malware Detection using RNN-Based Automated Localized Feature Extraction and Classifier. Sanket Shukla, Gaurav Kolhe, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad |
| 2019 | Swarm Filter - A Simple Deep Learning Component Inspired by Swarm Concept. Ha-Thanh Nguyen, Le-Minh Nguyen |
| 2019 | Synthesis of Boolean Networks from Biological Dynamical Constraints using Answer-Set Programming. Stéphanie Chevalier, Christine Froidevaux, Loïc Paulevé, Andrei Yu. Zinovyev |
| 2019 | TFPN: Twin Feature Pyramid Networks for Object Detection. Yi Liang, Changjian Wang, Fangzhao Li, Yuxing Peng, Qin Lv, Yuan Yuan, Zhen Huang |
| 2019 | TMRM: Two-Stage Multi-Task Recommendation Model Boosted Feature Selection. Fan Zhu, Juan Yang, Pengfei Wang |
| 2019 | TPOT-SH: A Faster Optimization Algorithm to Solve the AutoML Problem on Large Datasets. Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Eléonore Kessaci |
| 2019 | Targeted Sentiment Classification with Knowledge Powered Attention Network. Ximo Bian, Chong Feng, Arshad Ahmad, Jinming Dai, Guifen Zhao |
| 2019 | Text Style Transfer Using Partly-Shared Decoder. Gil Halevi, Kahini Wadhawan |
| 2019 | Text-Enhanced Knowledge Representation Learning Based on Gated Convolutional Networks. Chunfeng Liu, Yan Zhang, Mei Yu, Xuewei Li, Mankun Zhao, Tianyi Xu, Jian Yu, Ruiguo Yu |
| 2019 | Text-Independent Speaker ID Employing 2D-CNN for Automatic Video Lecture Categorization in a MOOC Setting. Ali Shariq Imran, Zenun Kastrati, Torbjørn Karl Svendsen, Arianit Kurti |
| 2019 | Texture CNN for Thermoelectric Metal Pipe Image Classification. Daniel Vriesman, Alceu S. Britto Jr., Alessandro Zimmer, Alessandro Lameiras Koerich |
| 2019 | Texture Recognition on Metal Surface using Order-Less Scale Invariant GLAC. Shangbo Mao, Vidhya Natarajan, Liang-Tien Chia, Guang-Bin Huang |
| 2019 | The Application of Network Based Embedding in Local Topic Detection from Social Media. Junsha Chen, Neng Gao, Cong Xue, Yifei Zhang, Chenyang Tu, Min Li |
| 2019 | The Concept of Criticality in Reinforcement Learning. Yitzhak Spielberg, Amos Azaria |
| 2019 | Threshold Based Optimization of Performance Metrics with Severely Imbalanced Big Security Data. Chad Calvert, Taghi M. Khoshgoftaar |
| 2019 | Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools. Anh Truong, Austin Walters, Jeremy Goodsitt, Keegan E. Hines, C. Bayan Bruss, Reza Farivar |
| 2019 | Towards Explainable Multi-Label Classification. Karim Tabia |
| 2019 | Towards a High-Level Multi-label Classification from Complex Networks. Vinícius H. Resende, Murillo G. Carneiro |
| 2019 | Towards a Hybrid Approach for Evolving Bayesian Networks Using Genetic Algorithms. Sonu Jose, Siming Liu, Sushil J. Louis, Sergiu Dascalu |
| 2019 | Transfer Learning on Decision Tree with Class Imbalance. Ludovic Minvielle, Mounir Atiq, Sergio Peignier, Mathilde Mougeot |
| 2019 | Transfer Learning with Ensemble Feature Extraction and Low-Rank Matrix Factorization for Severity Stage Classification of Diabetic Retinopathy. Isuru Wijesinghe, Chathurika Gamage, Charith Chitraranjan |
| 2019 | Triplet Deep Hashing with Joint Supervised Loss for Fast Image Retrieval. Mingyong Li, Hongya Wang, Liangliang Wang, Kaixiang Yang, Yingyuan Xiao |
| 2019 | Unsupervised Pedestrian Trajectory Prediction with Graph Neural Networks. Mingkun Wang, Dianxi Shi, Naiyang Guan, Tao Zhang, Liujing Wang, Ruoxiang Li |
| 2019 | Uplift Modeling for Cost Effective Coupon Marketing in C-to-C E-Commerce. Akihiro Shimizu, Riku Togashi, Antony Lam, Nam Van Huynh |
| 2019 | Using Classical Planning in Adversarial Problems. Pavel Rytír, Lukás Chrpa, Branislav Bosanský |
| 2019 | Using Gradient Based Multikernel Gaussian Process and Meta-Acquisition Function to Accelerate SMBO. Daning Cheng, Hanping Zhang, Fen Xia, Shigang Li, Yunquan Zhang |
| 2019 | Variational Policy Chaining for Lifelong Reinforcement Learning. Christopher Doyle, Maxime Guériau, Ivana Dusparic |
| 2019 | Visual Sequence Place Recognition with Improved Dynamic Time Warping. Feng Lu, Baifan Chen, Zhaohong Guo, Xiangdong Zhou |
| 2019 | X-ray Image Enhancement: A Technique Combination Approach. Afonso Ueslei Da Fonseca, Fabrízzio Alphonsus A. M. N. Soares, Leandro L. Oliveira, Mariana S. Ramada, Rogerio Salvini, Deborah S. A. Fernandes, Cristiane Bastos Rocha Ferreira, William D. Ferreira |