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ORCID32nd ICTAI 2020: Baltimore, MD, USA
- 32nd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2020, Baltimore, MD, USA, November 9-11, 2020. IEEE 2020, ISBN 978-1-7281-9228-4
- Yang Li, Xinzhi Wang, Jianshu Wang, Wei Wang, Xiangfeng Luo, Shaorong Xie:
Cooperative Multi-Agent Reinforcement Learning with Hierarchical Relation Graph under Partial Observability. 1-8 - Yaowen Zhang, Dianxi Shi, Yunlong Wu, Yongjun Zhang, Liujing Wang, Tianqi Xu:
Multi-Agent Feature Learning and Integration for Mixed Cooperative and Competitive Environment. 9-14 - Ashley Peake, Joe McCalmon, Benjamin Raiford, Tongtong Liu, Sarra M. Alqahtani:
Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control. 15-22 - Jindrich Vodrázka, Roman Barták
, Jirí Svancara:
On Modelling Multi-Agent Path Finding as a Classical Planning Problem. 23-28 - Zied Bouraoui, Sébastien Konieczny, Truong-Thanh Ma, Ivan Varzinczak:
Model-based Merging of Open-Domain Ontologies. 29-34 - Aikaterini Karavisileiou, Nikolaos Mainas, Euripides G. M. Petrakis:
Ontology for OpenAPI REST Services Descriptions. 35-40 - Yao Fu, Junhong Wan, Hong Zhao, Weihao Jiang, Shiliang Pu:
Preference-aware Heterogeneous Graph Neural Networks for Recommendation. 41-46 - Yiu-Kai Ng:
Research Paper Recommendation Based on Content Similarity, Peer Reviews, Authority, and Popularity. 47-52 - Bo Pang, Han Bao, Chongjun Wang:
Feature-Aware Attentive Variational Auto-Encoder for Top-N Recommendation. 53-58 - Hao Yuan, Jian Xu, Ning Zheng, Ming Xu, Wei Li, Rujia Shen:
PRPOIR: Exploiting the Region-Level Interest for POI Recommendation. 59-66 - Jiayi Chen, Wen Wu, Wenxin Hu, Liang He:
TSCREC: Time-sync Comment Recommendation in Danmu-Enabled Videos. 67-72 - Wei Li, Jian Xu, Qing Bao, Rujia Shen, Hao Yuan, Ming Xu:
An Adaptive Aggregation Method Based on Movie Genre for Group Recommendation. 73-78 - Keyu Nie, Zezhong Zhang, Ted Tao Yuan, Rong Song, Pauline Berry Burke:
Efficient Multivariate Bandit Algorithm with Path Planning. 79-84 - Enrico Scala, Mauro Vallati:
Exploiting Classical Planning Grounding in Hybrid PDDL+ Planning Engines. 85-92 - Ivan Serina, Mauro Vallati:
Configurable Heuristic Adaptation for Improving Best First Search in AI Planning. 93-100 - Georgios Kamaras, Panagiotis Stamatopoulos, Stasinos Konstantopoulos:
Path planning for terrain of steep incline using Bézier curves. 101-105 - Soheila Ghambari, Mahmoud Golabi, Julien Lepagnot, Mathieu Brévilliers, Laetitia Jourdan, Lhassane Idoumghar:
An Enhanced NSGA-II for Multiobjective UAV Path Planning in Urban Environments. 106-111 - Pawel Mróz, Alexandre Quemy, Mateusz Slazynski, Krzysztof Kluza, Pawel Jemiolo:
GBEx - towards Graph-Based Explanations. 112-117 - Roman Barták, Simona Ondrcková, Adrien Maillard, Gregor Behnke, Pascal Bercher:
A Novel Parsing-based Approach for Verification of Hierarchical Plans. 118-125 - Wei Xia, Roland H. C. Yap:
A Hybrid Dynamic Arity Search Heuristic for Constraint Programming. 126-131 - Marek Piotrów:
UWrMaxSat: Efficient Solver for MaxSAT and Pseudo-Boolean Problems. 132-136 - Matthieu Py, Mohamed Sami Cherif, Djamal Habet:
Towards Bridging the Gap Between SAT and Max-SAT Refutations. 137-144 - Claudia Vasconcellos-Gaete, Vincent Barichard, Frédéric Lardeux:
Abacus: A New Hybrid Encoding for SAT Problems. 145-152 - Michel Medema, Alexander Lazovik:
The Community Structure of Constraint Satisfaction Problems and Its Correlation with Search Time. 153-160 - Muhammad Osama, Anton Wijs:
Multiple Decision Making in Conflict-Driven Clause Learning. 161-169 - Pavel Surynek:
At-Most-One Constraints in Efficient Representations of Mutex Networks. 170-177 - Carmela Comito:
Exploiting Sequential Mobility for Recommending new Locations on Geo-tagged Social Media. 178-183 - Yuan Li, Kedian Mu:
Heterogeneous Information Diffusion Model for Social Recommendation. 184-191 - Roghayeh Mojarad, Ferhat Attal, Abdelghani Chibani, Yacine Amirat:
Context-aware Adaptive Recommendation System for Personal Well-being Services. 192-199 - Sailaja Rajanala, Manish Singh:
FLY: Venue Recommendation using Limited Context. 200-204 - Thilina Thanthriwatta, David S. Rosenblum:
Improving Dynamic Recommendation using Network Embedding for Context Inference. 205-210 - Chenfei Zhao, Kedian Mu:
Meta-path Embedding based Recommendation over Heterogeneous Information Network. 211-215 - Ying She, Yang Yi:
CSASN: Learning Complementary Spatial-Aware Siamese Networks for Visual Object Tracking. 216-223 - Ashneet Khandpur Singh, Alberto Blanco-Justicia, Josep Domingo-Ferrer, David Sánchez, David Rebollo-Monedero:
Fair Detection of Poisoning Attacks in Federated Learning. 224-229 - Kang Wang, Lu Zhang, Yifan Tan, Jiajia Zhao, Shuigeng Zhou:
Learning Latent Semantic Attributes for Zero-Shot Object Detection. 230-237 - Wenchi Ma, Miao Yu, Kaidong Li, Guanghui Wang:
Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling. 238-243 - Shen-Shyang Ho, Mathew Marchiano, Scott Zockoll, Hieu D. Nguyen:
An Error-Correcting Output Code Framework for Lifelong Learning without a Teacher. 249-254 - Amanda Rios, Laurent Itti:
Lifelong Learning Without a Task Oracle. 255-263 - Mohamed Sami Cherif, Djamal Habet, Cyril Terrioux:
On the Refinement of Conflict History Search Through Multi-Armed Bandit. 264-271 - Behrouz Babaki, Gilles Pesant:
Parallel Planning using a Lazy Clause Generation Solver. 272-276 - Jing Li, Xingye Dong, Kai Zhang, Sheng Han:
Solving Open Shop Scheduling Problem via Graph Attention Neural Network. 277-284 - Aolong Zha, Rongxuan Gao, Qiong Chang, Miyuki Koshimura, Itsuki Noda:
CNF Encodings for the Min-Max Multiple Traveling Salesmen Problem. 285-292 - Johannes Klaus Fichte, Markus Hecher, André Schidler:
Solving the Steiner Tree Problem with few Terminals. 293-300 - Nibraas Khan, Joshua L. Phillips:
Combined Model for Sensory-Based and Feedback-Based Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer Learning. 301-308 - Qi Luan, Liang Zhao:
Efficient CUR Matrix Decomposition via Relative-Error Double-Sided Least Squares Solving. 309-314 - Donglin Chen, Xiang Gao, Chuanfu Xu, Shizhao Chen, Jianbin Fang, Zhenghua Wang, Zheng Wang:
FlowGAN: A Conditional Generative Adversarial Network for Flow Prediction in Various Conditions. 315-322 - Jingchao Wang, Xinzhi Wang, Xiangfeng Luo, Wei Qin:
Open-World Relationship Prediction. 323-330 - Andrio Rodrigo Corrêa da Silva, Iális Cavalcante de Paula Júnior, Ticiana Linhares Coelho da Silva, José Antônio Fernandes de Macêdo, Wellington Clay Porcino Silva:
Prediction of crime location in a brazilian city using regression techniques. 331-336 - Kanghao Shao, Zhongnan Zhang, Song He, Xiaochen Bo:
DTIGCCN: Prediction of drug-target interactions based on GCN and CNN. 337-342 - Bogdan Nicula, Cecile A. Perret, Mihai Dascalu, Danielle S. McNamara:
Multi-document Cohesion Network Analysis: Automated Prediction of Inferencing across Multiple Documents. 343-348 - Usman Malik, Julien Saunier, Kotaro Funakoshi, Alexandre Pauchet:
Who Speaks Next? Turn Change and Next Speaker Prediction in Multimodal Multiparty Interaction. 349-354 - Zhaoyang Li, Lin Li, Yuquan Peng, Xiaohui Tao:
A Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting. 355-362 - Manit Zaveri, Sobhan Hemati, Sultaan Shah, Savvas Damaskinos, Hamid R. Tizhoosh:
Kimia-5MAG - A Dataset for Learning the Magnification in Histopathology Images. 363-367 - Karima Sedki, Jean-Baptiste Lamy, Rosy Tsopra:
Learning Preferences in Prioritized Qualitative Choice Logic. 368-375 - Mohammad Alshaer, Sandra Garcia-Rodriguez, Cédric Gouy-Pailler:
Detecting Anomalies from Streaming Time Series using Matrix Profile and Shapelets Learning. 376-383 - George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu:
Cross-Lingual Transfer Learning for Complex Word Identification. 384-390 - Qiang He, Xinwen Hou:
WD3: Taming the Estimation Bias in Deep Reinforcement Learning. 391-398 - Wenbin Zhang, Mingli Zhang, Ji Zhang, Zhen Liu, Zhiyuan Chen, Jianwu Wang, Edward Raff, Enza Messina:
Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams. 399-406 - Elisavet Elli Kostalia, Euripides G. M. Petrakis, Nikolaos G. Bourbakis:
Evaluating Methods for the Parsing and Understanding of Mathematical Formulas in Technical Documents. 407-412 - Hongxi Wei, Jing Zhang, Hui Zhang:
Deep Features Representation of Word Image for Keyword Spotting in Historical Mongolian Document Images. 413-417 - Fatema Hasan, Arpita Roy, Shimei Pan:
Integrating Text Embedding with Traditional NLP Features for Clinical Relation Extraction. 418-425 - Yan Zhao, Yun Wang, Na Yang:
Chinese Short Text Entity Linking Based On Semantic Similarity and Entity Correlation. 426-431 - Menglan Wang, Yue Yu, Benyuan Li:
Joint Embedding based Text-to-Image Synthesis. 432-436 - Shuyong Wei, Defa Yu, Chengguo Lv:
Text Editing for Augmented Distilled BERT. 437-442 - Michail S. Alexiou, Nikolaos G. Bourbakis:
Automatic Deep Understanding of Tables in Technical Documents. 443-451 - Garrett Hall, Arun Das, John Quarles, Paul Rad:
Studying Adversarial Attacks on Behavioral Cloning Dynamics. 452-459 - Roghayeh Mojarad, Ferhat Attal, Abdelghani Chibani, Yacine Amirat:
A Context-aware Hybrid Framework for Human Behavior Analysis. 460-465 - Tangqing Li, Wynne Hsu, Mong-Li Lee, Hai Leong Chieu:
Probabilistic Decision Modeling in Social Networks. 466-473 - Qing Zhou, Jiang Li, Yinchun Tang, Huan Wang:
Discovering the Lonely Among the Students with Weighted Graph Neural Networks. 474-481 - Jianming Lv, Chaojie Hu, Yipeng Zhou, Xiaojun Chen:
SoMem: A Self-optimizing Memory Network for Distributed Person Re-identification. 482-487 - Himanshu Buckchash, Balasubramanian Raman:
DuTriNet: Dual-Stream Triplet Siamese Network for Self-Supervised Action Recognition by Modeling Temporal Correlations. 488-495 - Ao Zhang, Shaojuan Wu, Xiaowang Zhang, Shizhan Chen, Yuchun Shu, Zhiyong Feng:
EmoEM: Emotional Expression in a Multi-turn Dialogue Model. 496-501 - Kira Maag, Matthias Rottmann, Hanno Gottschalk:
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks. 502-509 - Shizhe Zhou, Zeyu Liu:
Sketch2Relief: Generating Bas-relief from Sketches with Deep Generative Networks. 510-517 - Hongyin Zhang, Qiangxing Tian, Donglin Wang, Kaichen Wei:
Preferential Experience Collection with Frequency based Intrinsic Reward for Deep Reinforcement Learning. 518-525 - Safa Alsafari, Samira Sadaoui, Malek Mouhoub:
Deep Learning Ensembles for Hate Speech Detection. 526-531 - Shunyi Yao, Guangda Chen, Lifan Pan, Jun Ma, Jianmin Ji, Xiaoping Chen:
Multi-Robot Collision Avoidance with Map-based Deep Reinforcement Learning. 532-539 - Fengge Wang, Xiaolin Tian, Yang Zhang, Nan Jia, Tiantian Lu:
Image Classification Based On Deep Convolutional Network And Gaussian Aggregate Encoding. 540-544 - Gang Long, Wen Lu, Lin Zha, Hongyi Zhang:
PHC-GAN: Physical Constraint Generative Adversarial Network for Single Image Dehazing. 545-549 - Jonathan Hudson, Jörg Denzinger:
Decision Support for Combining Security Mechanisms using Exploratory Evolutionary Testing. 550-557 - Guoliang Gong, Lin Lin, Zhaoyang Wu, Rui Xu, Shoji Kido, Yan Hu:
Evolutionary Neural Network and Visualization for CNN-based Pulmonary Textures Classification. 558-563 - Vincent Hénaux, Adrien Goëffon, Frédéric Saubion:
Evolution of Deterministic Hill-climbers. 564-571 - Sonu Jose, Sushil J. Louis, Sergiu M. Dascalu, Siming Liu:
Bayesian Network Structure Learning Using Case-Injected Genetic Algorithms. 572-579 - Jason Bernard, Ian McQuillan:
Inferring Temporal Parametric L-systems Using Cartesian Genetic Programming. 580-588 - Larissa M. Fraga, Gina Maira Barbosa de Oliveira, Luiz G. A. Martins:
Adjustment of an Epidemiological Cellular Automata-based Model using Genetic Algorithm. 589-594 - Rafael Bérgamo B. de Holanda, João F. L. de Oliveira:
Swarm Based Ensembles for Time Series Residual Forecasting. 595-602 - Xiajing Wang, Changzhen Hu, Rui Ma, Binbin Li, Xuefei Wang:
LAFuzz: Neural Network for Efficient Fuzzing. 603-611 - Luis Filipe Alves Pereira, Jan De Beenhouwer, Johann Kastner, Jan Sijbers:
Extreme Sparse X-ray Computed Laminography Via Convolutional Neural Networks. 612-616 - Siavash Alemzadeh, Hesam Talebiyan, Shahriar Talebi, Leonardo Dueñas-Osorio, Mehran Mesbahi:
Resource Allocation for Infrastructure Resilience using Artificial Neural Networks. 617-624 - Teodor-Mihai Cotet, Stefan Ruseti, Mihai Dascalu:
Neural Grammatical Error Correction for Romanian. 625-631 - Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan:
Data Augmentation for Insider Threat Detection with GAN. 632-638 - Garrett Goodman, Quinn Hirt, Cogan Shimizu, Iosif Papadakis Ktistakis, Miltiadis Alamaniotis, Nikolaos G. Bourbakis:
Methods for Prediction Optimization of the Constrained State-Preserved Extreme Learning Machine. 639-646 - Malaika Vijay, Meghana, Nishant Aklecha, Ramamoorthy Srinath:
Dialog Driven Face Construction using GANs. 647-652 - Yifan Zhang, Shizhong Liao:
A Kernel Perspective for the Decision Boundary of Deep Neural Networks. 653-660 - Alexander Demidovskij, Artyom Tugaryov, Alexander Suvorov, Yaroslav Tarkan, Marat Fatekhov, Igor Salnikov, Andrey Kashchikhin, Vladimir Golubenko, Galina Dedyukhina, Alina Alborova, Ryan Palmer, Mikhail Fedorov, Yury Gorbachev:
OpenVINO Deep Learning Workbench: A Platform for Model Optimization, Analysis and Deployment. 661-668 - Haomin Qiu, Feng Liu:
A State Representation Dueling Network for Deep Reinforcement Learning. 669-674 - Tao Liang, Peng Chen, Guangzhi Zhou, Hongchao Gao, Jin Liu, Zhaoxing Li, Jiao Dai:
SDHF: Spotting DeepFakes with Hierarchical Features. 675-680 - Yijie Wang, Bo Yang:
Deep Denoising Sparse Coding. 681-685 - Weiqing Huang, Xiao Peng, Zhixin Shi, Yuru Ma:
Adversarial Attack against LSTM-based DDoS Intrusion Detection System. 686-693 - Shixiong Zhu, Xiangfeng Luo, Liyan Ma, Shaorong Xie, Han Zhang:
Realistic Style-Transfer Generative Adversarial Network With a Weight-Sharing Strategy. 694-699 - Jia Wu, Ziyan Li:
Hierarchical Joint Control for Urban Mixed-Autonomy Traffic Optimization. 700-705 - Xinzi Sun, Dechun Wang, Chenxi Zhang, Pengfei Zhang, Zinan Xiong, Yu Cao, Benyuan Liu, Xiaowei Liu, Shuijiao Chen:
Colorectal Polyp Detection in Real-world Scenario: Design and Experiment Study. 706-713 - Kelang Tian, Jingjie Guo, Kejiang Ye, Cheng-Zhong Xu:
ST-MGAT: Spatial-Temporal Multi-Head Graph Attention Networks for Traffic Forecasting. 714-721 - Glenn Forbes, Stewart Massie, Susan Craw:
WiFi-based Human Activity Recognition using Raspberry Pi. 722-730 - Qi Hong, Zhongyuan Wang, Zheng He, Nanxi Wang, Xin Tian, Tao Lu:
Masked Face Recognition with Identification Association. 731-735 - Qiqi Zhao, Huifang Ma, Xiaohong Li, Zhixin Li:
NotMle: Community Detection in an Inference Way. 736-741 - Kawsar Noor, Anthony Hunter:
A Bayesian Probabilistic Argumentation Framework for Learning from Online Reviews. 742-747 - Zheng Lian, Haichang Li, Rui Wang, Xiaohui Hu:
Enhanced soft attention mechanism with an inception-like module for image captioning. 748-752 - Yucheng Shu, Jing Zhang, Bin Xiao, Xiao Luan, Linghui Liu, Chunlong Hu:
AFT-Net: Active Fusion-Transduction for Multi-stream Medical Image Segmentation. 753-760 - Avigail Stekel, Moshe Hanukoglu, Aviv Rovshitz, Nissan Goldberg, Amos Azaria:
Learning to Conceal: A Method for Preserving Privacy and Avoiding Prejudice in Images. 761-766 - Baojin Huang, Zheng He, Zhongyuan Wang, Kui Jiang, Guangcheng Wang:
Lightweight Progressive Residual Clique Network for Image Super-Resolution. 767-772 - Daniel McGonigle, Tianyang Wang, Juefei Yuan, Kai He, Bo Li:
I2S2: Image-to-Scene Sketch Translation Using Conditional Input and Adversarial Networks. 773-778 - Xiaohan Zou, Cheng Lin, Yinjia Zhang, Qinpei Zhao:
To be an Artist: Automatic Generation on Food Image Aesthetic Captioning. 779-786 - Simen Keiland Fondevik, Annette Stahl, Aksel Andreas Transeth, Ole Øystein Knudsen:
Image Segmentation of Corrosion Damages in Industrial Inspections. 787-792 - Mohamad Kanaan, Khalid Benabdeslem, Hamamache Kheddouci:
A Generative Time Series Clustering Framework Based on an Ensemble Mixture of HMMs. 793-798 - Yongjun Zhang, Xiaoping Yang, Liang Wang, Kede Li:
WMPEClus: Clustering via Weighted Meta-Path Embedding for Heterogeneous Information Networks. 799-806 - Salim Miloudi, Yulin Wang, Wenjia Ding:
An Optimized Graph-based Clustering for Multi-database Mining. 807-812 - Leonidas Akritidis, Miltiadis Alamaniotis, Athanasios Fevgas, Panayiotis Bozanis:
Confronting Sparseness and High Dimensionality in Short Text Clustering via Feature Vector Projections. 813-820 - Maha Mallek, Sébastien Fournier, Ramzi Guetari, Bernard Espinasse, Wided Lejouad Chaari:
An Unsupervised Approach for Precise Context Identification from Unstructured Text Documents. 821-826 - Shuyue Guan, Murray H. Loew:
An Internal Cluster Validity Index Using a Distance-based Separability Measure. 827-834 - Yuri Safovich, Amos Azaria:
Fiction Sentence Expansion and Enhancement via Focused Objective and Novelty Curve Sampling. 835-843 - Yunfei Yin, Chengen Zheng, Qiyu Peng:
Similarity Calculation Algorithm for Intelligent Electronic Customer Service Problems. 844-851 - Xusheng Wu, Stephan Winter, Kourosh Khoshelham:
A Multi-Camera Tracker for Monitoring Pedestrians in Enclosed Environments. 852-858 - April Hua Liu, Mengjing Chen, Xiaolong Wang, Zihe Wang:
A Game-theoretical Approach to Analyze Film Release Time. 859-866 - Georgios Drakopoulos, Eleanna Kafeza, Phivos Mylonas, Haseena Al Katheeri:
Building Trusted Startup Teams From LinkedIn Attributes: A Higher Order Probabilistic Analysis. 867-874 - Jun Chang, Yujie Ding, Wenting Tu:
FollowAKOInvestor: Using Machine Learning to Hear Voices from All Kinds of Investors. 875-882 - Chengyuan Li, Lanqing Zhang, Xing Cai, Keyao Li, Ge Li, Thomas H. Li:
Towards Loss Balance and Consistent Model in Self-supervised Monocular Depth Estimation. 883-889 - Xuetong Li, Rui Liu, Mingzhen Li, Yi Liu, Lianghui Jiang, Changhong Zhou:
Real-Time Polyp Detection for Colonoscopy Video on CPU. 890-897 - Xiangcheng Liu, Qingzhou Dong, Youjun Xiang, Yuli Fu:
An Efficient Detector for the Key Components of the Power Transmission Lines. 898-904 - Hani Mohammed, Venkat Himavanth Reddy, Subu Kandaswamy:
A Decentralized Strategy for Cooperative Driving among Autonomous Cars at Lane Closures. 905-910 - Selvine G. Mathias, Sebastian Schmied, Daniel Grossmann:
Monitoring of Discrete Electrical Signals from Welding Processes using Data Mining and IIoT Approaches. 911-916 - Edwin Friedmann, Jean-Philippe Poli, Olivier Hotel, Christine Mer-Calfati:
Fuzzy Classifiers for Chemical Compound Recognition from SAW Sensors Signals. 917-922 - Dan Li, Hang Liu, See-Kiong Ng:
VC-GAN: Classifying Vessel Types by Maritime Trajectories using Generative Adversarial Networks. 923-928 - Mercedeh J. Rezaei, John R. Woodward, Julia Ramírez, Patricia B. Munroe:
Data Augmentation for Heart Arrhythmia Classification. 929-934 - Onyeka Emebo, Aparna S. Varde, Vaibhav K. Anu, Niket Tandon, Olawande J. Daramola:
Using Commonsense Knowledge and Text Mining for Implicit Requirements Localization. 935-940 - Chris Samarinas, Wynne Hsu, Mong-Li Lee:
Latent Retrieval for Large-Scale Fact-Checking and Question Answering with NLI training. 941-948 - Cheikh Brahim El Vaigh, François Torregrossa, Robin Allesiardo, Guillaume Gravier, Pascale Sébillot:
A correlation-based entity embedding approach for robust entity linking. 949-954 - Xiangyun Ding, Wenjian Yu, Yuyang Xie, Shenghua Liu:
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA. 955-960 - Panagiotis Fountas, Kostas Kolomvatsos:
Ensemble based Data Imputation at the Edge. 961-968 - Lifan Lin, Kun She:
Tensor Decomposition-Based Temporal Knowledge Graph Embedding. 969-975 - Orhan Yazar, Haytham Elghazel, Mohand-Saïd Hacid, Nathalie Castin:
Identifying Conditionally Independent Target Subsets for Multi-Target Regression*Note: Sub-titles are not captured in Xplore and should not be used. 976-981 - Wenbo Zheng, Fei-Yue Wang, Chao Gou:
Nonparametric Different-Feature Selection Using Wasserstein Distance. 982-988 - Amin Salehi, Hasan Davulcu:
Graph Attention Auto-Encoders. 989-996 - Yuta Nezu, Takao Miura:
Extracting Keywords on SNS by Successive KeyGraph. 997-1003 - Arij Azzabi, Nahla Ben Amor, Hélène Fargier, Régis Sabbadin:
Computing All Equilibria in Ordinal Graphical Games. 1004-1011 - Xiaohe Li, Lijie Wen, Chen Qian, Jianmin Wang:
GAHNE: Graph-Aggregated Heterogeneous Network Embedding. 1012-1019 - Dongmei Cui, Fusheng Jin, Rong-Hua Li, Guoren Wang:
CFGAT: A Coarse-to-Fine Graph Attention Network for Semi-supervised Node Classification. 1020-1027 - Yulei Yang, Dongsheng Li:
DualGCN: Representation Learning for Property Graphs via Dual-level Convolutional Networks. 1028-1035 - Jianming Lv, Jintao Liang, Zhenguo Yang:
HGE2MED: Heterogeneous Graph Embedding for Multi-domain Event Detection. 1036-1043 - Boyuan Feng, Yuke Wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding:
SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization. 1044-1052 - Joel Luís Carbonera, Mara Abel:
An attraction-based approach for instance selection. 1053-1058 - Sayda Elmi, Kian-Lee Tan:
Efficient Skyline Computation over Incomplete and Uncertain Data for Decision Making Systems. 1059-1064 - Tsegamlak Terefe, Maxime Devanne, Jonathan Weber, Dereje Hailemariam, Germain Forestier:
Time Series Averaging Using Multi-Tasking Autoencoder. 1065-1072 - Alexandre Letard, Tassadit Amghar, Olivier Camp, Nicolas Gutowski:
Partial Bandit and Semi-Bandit: Making the Most Out of Scarce Users' Feedback. 1073-1078 - Yichang Wang, Rémi Emonet, Élisa Fromont, Simon Malinowski, Romain Tavenard:
Adversarial Regularization for Explainable-by-Design Time Series Classification. 1079-1087 - Jianshu Wang, Xinzhi Wang, Xiangfeng Luo, Zhenyu Zhang, Wei Wang, Yang Li:
SEM: Adaptive Staged Experience Access Mechanism for Reinforcement Learning. 1088-1095 - Gilbert Lim, Pranav Thombre, Mong-Li Lee, Wynne Hsu:
Generative Data Augmentation for Diabetic Retinopathy Classification. 1096-1103 - Jie He, Xingjiao Wu, Jing Yang, Wenxin Hu:
CPSPNet: Crowd Counting via Semantic Segmentation Framework. 1104-1110 - Xin Li, Xingjiao Wu, Tianlong Ma, Zhao Zhou, Luhui Chen, Liang He:
Margin Guidance Network for Arbitrary-shaped Scene Text Detection. 1111-1117 - Junyu Chen, Xiaohong Zhu, Jun Sang, Lu Gong:
Sentence Pair Similarity Modeling Based on Weighted Interaction of Multi-semantic Embedding Matrix. 1118-1123 - Shashipal Reddy Pingili, Longzhuang Li:
Target-Based Sentiment Analysis using a BERT Embedded Model. 1124-1128 - Zhaoxin Fan, Hongyan Liu, Jun He, Siwei Jiang, Xiaoyong Du:
PointFPN: A Frustum-based Feature Pyramid Network for 3D Object Detection. 1129-1136 - Yuning Cui, Dianxi Shi, Yongjun Zhang, Qianchong Sun:
IDNet: A Single-Shot Object Detector Based on Feature Fusion. 1137-1144 - Danissa V. Rodriguez, Doris L. Carver:
An IR-Based Artificial Bee Colony Approach for Traceability Link Recovery. 1145-1153 - Hui Huang, Yueyuan Jin, Ruonan Rao:
Sentiment-Aware Transformer Using Joint Training. 1154-1160 - Jingxu Lin, Sheng-hua Zhong:
Bi-Directional Self-Attention with Relative Positional Encoding for Video Summarization. 1161-1166 - Riccardo Bertolucci, Alessio Capitanelli, Marco Maratea, Fulvio Mastrogiovanni, Mauro Vallati:
Collaborative Robotic Manipulation: A Use Case of Articulated Objects in Three-dimensions with Gravity. 1167-1174 - K. M. Arefeen Sultan, Mohammad Imrul Jubair, Md. Nahidul Islam, Sayed Hossain Khan:
toon2real: Translating Cartoon Images to Realistic Images. 1175-1179 - Laurence Boudet, Jean-Philippe Poli, Louis-Pierre Bergé, Michel Rodriguez:
Situational Assessment of Wildfires: a Fuzzy Spatial Approach. 1180-1185 - Maxence Grand, Humbert Fiorino, Damien Pellier:
Retro-engineering state machines into PDDL domains. 1186-1193 - Ning Wang, Dianxi Shi, Ying Kang, Zunlin Fan, Songchang Jin, Yongjun Zhang:
Dual-template Siamese Network with Cross-Correlation Fusion for Tracking. 1194-1201 - Yifan Fan, Xudong Luo:
A Survey of Dialogue System Evaluation. 1202-1209 - Sylvie Doutre, Mickaël Lafages, Marie-Christine Lagasquie-Schiex:
Argumentation Frameworks with Higher-Order Attacks: Labellings and Complexity. 1210-1217 - Ang Li, Yuling Guan, Sven Koenig, Stephan Haas, T. K. Satish Kumar:
Generating the Top $K$ Solutions to Weighted CSPs: A Comparison of Different Approaches. 1218-1223 - Daniel Raggi, Gem Stapleton, Aaron Stockdill, Mateja Jamnik, Grecia Garcia Garcia, Peter C.-H. Cheng:
How to (Re)represent it? 1224-1232 - Pavel Surynek:
Bounded Suboptimal Token Swapping. 1233-1240 - Nicolas Szczepanski, Lucien Mousin, Nadarajen Veerapen, Laetitia Jourdan:
Automatic Configuration of Multi-Thread Local Search: Preliminary Results on Bi-objective TSP. 1241-1248 - Panteleimon Krasadakis, Vassilios S. Verykios, Evangelos Sakkopoulos:
Parallel based Hiding of Sensitive Knowledge. 1249-1254 - Rong Yan, Qi Chen, Guanglai Gao:
Dataless Text Classification with Pseudo Topic Representation. 1255-1259 - Yuwei Pan, Rainer Stark:
An Ensemble Learning based Hierarchical Multi-label Classification Approach to Identify Impacts of Engineering Changes. 1260-1267 - Lei Liu, Wentao Lei, Xiang Wan, Li Liu, Yongfang Luo, Cheng Feng:
Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification. 1268-1273 - Nassim Bahri, Mohamed Anis Bach Tobji, Boutheina Ben Yaghlane:
Associative Classifier for Evidential Data. 1274-1281 - Caroline Santos dos Reis, Fabiana Lorenzi:
MathReader: API for Handwritten Mathematical Expressions Recognition. 1282-1289 - Jingjun Qiu, Yan Gao:
Position and Channel Attention for Image Inpainting by Semantic Structure. 1290-1295 - Olivier Aycard, Christophe Brouard:
A new tool to initialize global localization for a mobile robot. 1296-1303 - Runxin Liu, Jingfeng Bai, Jingjie Zhou, Kang Zhang, Cheng Ni:
A Feasibility Study for Predicting 3D Radiotherapy Dose Distribution of Lung VMAT Patients. 1304-1308 - Yunfei Yao, Junfan Li, Shizhong Liao:
A New Learning Algorithm with General Loss for Neural Networks with Random Weights. 1-5
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