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ORCIDIEEE Intelligent Systems, Volume 36
Volume 36, Number 1, January - February 2021
- Can Wang
, Fosca Giannotti, Longbing Cao:
Learning Complex Couplings and Interactions. 3-5 - Wenpeng Lu, Yuteng Zhang, Shoujin Wang, Heyan Huang, Qian Liu, Sheng Luo:
Concept Representation by Learning Explicit and Implicit Concept Couplings. 6-15 - Yanjun Zhang, Guangdong Bai, Mingyang Zhong, Xue Li, Ryan K. L. Ko:
Differentially Private Collaborative Coupling Learning for Recommender Systems. 16-24 - Giulio Rossetti, Salvatore Citraro, Letizia Milli:
Conformity: A Path-Aware Homophily Measure for Node-Attributed Networks. 25-34 - Peiyao Li, Weiliang Zhao, Jian Yang, Jia Wu:
CoTrRank: Trust Ranking on Twitter. 35-45 - Xiangyu Song, Jianxin Li, ShiJie Sun, Hui Yin, Phillip Dawson, Robin Ram Mohan Doss:
SEPN: A Sequential Engagement Based Academic Performance Prediction Model. 46-53 - Mahdi Imani, Seyede Fatemeh Ghoreishi:
Optimal Finite-Horizon Perturbation Policy for Inference of Gene Regulatory Networks. 54-63 - Jing He, Jiao Tian, Yuanyuan Wu, Xinyi Cia, Kai Zhang, Mengjiao Guo, Hui Zheng, Junfeng Wu, Yimu Ji:
An Efficient Solution to Detect Common Topologies in Money Launderings Based on Coupling and Connection. 64-74 - Qingnan Jiang, Lei Chen, Wei Zhao, Min Yang, Erik Cambria:
Toward Aspect-Level Sentiment Modification Without Parallel Data. 75-81
Volume 36, Number 2, March - April 2021
- Francesco Parisi, Gerardo I. Simari:
Guest Editorial Argumentation-Based Reasoning. 3-5 - Gianvincenzo Alfano, Sergio Greco:
Incremental Skeptical Preferred Acceptance in Dynamic Argumentation Frameworks. 6-12 - Kenneth Skiba, Daniel Neugebauer, Jörg Rothe:
Complexity of Nonempty Existence Problems in Incomplete Argumentation Frameworks. 13-24 - AnneMarie Borg, Floris Bex:
A Basic Framework for Explanations in Argumentation. 25-35 - Martin E. Buron Brarda, Luciano H. Tamargo, Alejandro Javier García:
Using Argumentation to Obtain and Explain Results in a Decision Support System. 36-42 - Juan Carlos Teze, Lluís Godo:
An Architecture for Argumentation-Based Epistemic Planning: A First Approach With Contextual Preferences. 43-51 - Haixiao Chi, Yiwei Lu, Beishui Liao, Liaosa Xu, Yaqi Liu:
An Optimized Quantitative Argumentation Debate Model for Fraud Detection in E-Commerce Transactions. 52-63 - Nadin Kökciyan, Isabel Sassoon, Elizabeth Sklar, Sanjay Modgil, Simon Parsons:
Applying Metalevel Argumentation Frameworks to Support Medical Decision Making. 64-71 - Helena Lindgren, Timotheus Kampik, Esteban Guerrero, Madeleine Blusi, Juan Carlos Nieves:
Argumentation-Based Health Information Systems: A Design Methodology. 72-80 - Martín O. Moguillansky:
Fact Investigation and Proof Standards in Legal Argumentation. 81-87 - Lukas Stappen, Alice Baird, Erik Cambria, Björn W. Schuller:
Sentiment Analysis and Topic Recognition in Video Transcriptions. 88-95 - Muhammad Intizar Ali, Pankesh Patel, John G. Breslin, Ramy F. Harik, Amit P. Sheth:
Cognitive Digital Twins for Smart Manufacturing. 96-100
Volume 36, Number 3, May - June 2021
- Guansong Pang, Fabrizio Angiulli, Mihai Cucuringu, Huan Liu:
Guest Editorial: Non-IID Outlier Detection in Complex Contexts. 3-4 - Boxiang Dong, Zhengzhang Chen, Lu-An Tang, Haifeng Chen, Hui Wang, Kai Zhang, Ying Lin, Zhichun Li:
Anomalous Event Sequence Detection. 5-13 - Xijun Liang, Xiaoxin Song, Kai Qi, Jundong Li, Jinyu Liu, Ling Jian:
Anomaly Detection Aided Budget Online Classification for Imbalanced Data Streams. 14-22 - Shuo Yu, Jiaying Liu, Haoran Wei, Feng Xia, Hanghang Tong:
How to Optimize an Academic Team When the Outlier Member is Leaving? 23-30 - Haolong Xiang, Jiayu Wang, Kotagiri Ramamohanarao, Zoran Salcic, Wanchun Dou, Xuyun Zhang:
Isolation Forest Based Anomaly Detection Framework on Non-IID Data. 31-40 - Brian G. Booth, Jan Sijbers, Noël L. W. Keijsers:
Outlier Detection for Foot Complaint Diagnosis: Modeling Confounding Factors Using Metric Learning. 41-49 - Robbie T. Nakatsu:
An Evaluation of Four Resampling Methods Used in Machine Learning Classification. 51-57 - Ahmed Youssef Ali Amer, Jean-Marie Aerts, Bart Vanrumste, Stijn Luca:
A Localized Learning Approach Applied to Human Activity Recognition. 58-71 - Dongjing Shan, Xiongwei Zhang, Limin Wang, Tieyong Cao, Chao Zhang:
Saliency Detection With a Three-Stage Hierarchical Network. 72-79 - Jeffrey S. Rosenschein, Michael J. Wooldridge:
Understanding Mechanism Design - Part 2 of 3: The Vickrey-Clarke-Groves Mechanism. 80-81 - Wei Peng, Xiaopeng Hong, Guoying Zhao, Erik Cambria:
Adaptive Modality Distillation for Separable Multimodal Sentiment Analysis. 82-89
Volume 36, Number 4, July - August 2021
- Songlin Zhai, Guibing Guo, Fajie Yuan, Yuan Liu, Xingwei Wang:
VSE-fs: Fast Full-Sample Visual Semantic Embedding. 3-12 - Bing Ai, Wanyuan Wang, Minghui Hua, Yichuan Jiang, Jiuchuan Jiang, Yifeng Zhou:
Enhancing the Quality in Crowdsourcing E-Markets Through Team Formation Games. 13-23 - Mengnan Du, Fan Yang, Na Zou, Xia Hu:
Fairness in Deep Learning: A Computational Perspective. 25-34 - Qing Liu, Trong Dinh Thac Do, Longbing Cao:
Answer Keyword Generation for Community Question Answering by Multiaspect Gamma-Poisson Matrix Completion. 35-47 - Monireh Abdoos:
Fuzzy Graph and Collective Multiagent Reinforcement Learning for Traffic Signals Control. 48-55 - Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu:
Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation. 56-64 - Jiuling Zhang, Ming He:
CRTL: Context Restoration Transfer Learning for Cross-Domain Recommendations. 65-72 - Wujie Zhou, Jianzhong Yuan, Jingsheng Lei, Ting Luo:
TSNet: Three-Stream Self-Attention Network for RGB-D Indoor Semantic Segmentation. 73-78 - Mohamed Aladem, Samir A. Rawashdeh:
A Single-Stream Segmentation and Depth Prediction CNN for Autonomous Driving. 79-85 - Alberto Castellini, Federico Bianchi, Alessandro Farinelli:
Predictive Model Generation for Load Forecasting in District Heating Networks. 86-95 - Kai Shu, Susan T. Dumais, Ahmed Hassan Awadallah, Huan Liu:
Detecting Fake News With Weak Social Supervision. 96-103 - Liwen Zhang, Jianying Zheng, Rongchuan Sun, Yanyun Tao:
GC-Net: Gridding and Clustering for Traffic Object Detection With Roadside LiDAR. 104-113 - Mike Thelwall, Erik Cambria:
This! Identifying New Sentiment Slang Through Orthographic Pleonasm Online: Yasss Slay Gorg Queen Ilysm. 114-120
Volume 36, Number 5, September - October 2021
- Dingqi Yang, Bingqing Qu, Philippe Cudré-Mauroux:
Location-Centric Social Media Analytics: Challenges and Opportunities for Smart Cities. 3-10 - Di Chai, Leye Wang, Kai Chen, Qiang Yang:
Secure Federated Matrix Factorization. 11-20 - Guanyu Lin, Feng Liang, Weike Pan, Zhong Ming:
FedRec: Federated Recommendation With Explicit Feedback. 21-30 - Yang Liu, Ruolan Wang, Shishuai Du, Junbo Zhang, Yu Zheng:
Federated Digital Gateway: Methodologies, Tools, and Applications. 31-38 - Sarunas Grigaliunas, Jevgenijus Toldinas, Algimantas Venckauskas, Nerijus Morkevicius, Robertas Damasevicius:
Digital Evidence Object Model for Situation Awareness and Decision Making in Digital Forensics Investigation. 39-48 - Hsu-Yung Cheng, Chih-Chang Yu:
Automatic Data Cleaning System for Large-Scale Location Image Databases Using a Multilevel Extractor and Multiresolution Dissimilarity Calculation. 49-56 - Vincenzo Moscato, Antonio Picariello, Giancarlo Sperlí:
An Emotional Recommender System for Music. 57-68 - Yanwu Yang, Baozhu Feng, Daniel Zeng:
Learning Parameters for a Generalized Vidale-Wolfe Response Model With Flexible Ad Elasticity and Word-of-Mouth. 69-79 - Eunjeong Jeong, Seungeun Oh, Jihong Park, Hyesung Kim, Mehdi Bennis, Seong-Lyun Kim:
Hiding in the Crowd: Federated Data Augmentation for On-Device Learning. 80-87 - Marcin Relich, Grzegorz Bocewicz, Katarzyna Rostek, Zbigniew Antoni Banaszak:
A Declarative Approach to New Product Development Project Prototyping. 88-95 - Yexuan Shi, Yongxin Tong, Zhiyang Su, Di Jiang, Zimu Zhou, Wenbin Zhang:
Federated Topic Discovery: A Semantic Consistent Approach. 96-103 - Dorjan Hitaj, Briland Hitaj, Sushil Jajodia, Luigi V. Mancini:
Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks. 104-112 - Semeh Ben Salem, Sami Naouali, Zied Chtourou:
The DRk-M for Clustering Categorical Datasets With Uncertainty. 113-121 - Zhiyue Liu, Jiahai Wang, Xin Du, Yanghui Rao, Xiaojun Quan:
GSMNet: Global Semantic Memory Network for Aspect-Level Sentiment Classification. 122-130 - Alessio Bechini, Pietro Ducange, Francesco Marcelloni, Alessandro Renda:
Stance Analysis of Twitter Users: The Case of the Vaccination Topic in Italy. 131-139
Volume 36, Number 6, November - December 2021
- Nan Xu, Wenji Mao, Penghui Wei, Daniel Zeng:
MDA: Multimodal Data Augmentation Framework for Boosting Performance on Sentiment/Emotion Classification Tasks. 3-12 - Wanting Wen, Daniel Dajun Zeng, Jie Bai, Kang Zhao, Ziqiang Li:
Learning Embeddings Based on Global Structural Similarity in Heterogeneous Networks. 13-22 - Rui Ding, Bowei Chen, Guibing Guo, Xiaochun Yang:
Adversarial Path Sampling for Recommender Systems. 23-31 - Lei Feng, Hongxin Wei, Qingyu Guo, Zhuoyi Lin, Bo An:
Embedding-Augmented Generalized Matrix Factorization for Recommendation With Implicit Feedback. 32-41 - Jianxiong Wan, Jie Zhou, Xiang Gui:
Intelligent Rack-Level Cooling Management in Data Centers With Active Ventilation Tiles: A Deep Reinforcement Learning Approach. 42-52 - Haolin Wang, Qingpeng Zhang, Youhua (Frank) Chen, Eman Yee Man Leung, Eliza Lai-Yi Wong, Eng-Kiong Yeoh:
Tensor Factorization-Based Prediction With an Application to Estimate the Risk of Chronic Diseases. 53-61 - Ramon Ruiz-Dolz, José Alemany, Stella Heras Barberá, Ana García-Fornes:
Transformer-Based Models for Automatic Identification of Argument Relations: A Cross-Domain Evaluation. 62-70 - Ping Zhong, Zhanhuai Li, Qun Chen, Boyi Hou:
Attention-Enhanced Gradual Machine Learning for Entity Resolution. 71-79 - Gianvincenzo Alfano, Sergio Greco, Francesco Parisi:
Incremental Computation in Dynamic Argumentation Frameworks. 80-86 - Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Dimitrios Papadopoulos, Qiang Yang:
SecureBoost: A Lossless Federated Learning Framework. 87-98 - Raymond Chiong, Gregorious Satia Budhi, Sandeep Dhakal, Erik Cambria:
Combining Sentiment Lexicons and Content-Based Features for Depression Detection. 99-105
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