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ORCIDIEEE Intelligent Systems, Volume 35
Volume 35, Number 1, January - February 2020
- Wei Wei, Jinsong Wu
, Chunsheng Zhu:
Special Issue on Situation Awareness in Intelligent Human-Computer Interaction for Time Critical Decision Making. 3-5 - Le Hoang Son, Roan Thi Ngan, Mumtaz Ali, Hamido Fujita, Mohamed Abdel-Basset, Long Giang Nguyen, Gunasekaran Manogaran, Priyan Malarvizhi Kumar:
A New Representation of Intuitionistic Fuzzy Systems and Their Applications in Critical Decision Making. 6-17 - Qing Zhu:
Research on Road Traffic Situation Awareness System Based on Image Big Data. 18-26 - Francesco Piccialli, Giampaolo Casolla, Salvatore Cuomo, Fabio Giampaolo, Vincenzo Schiano Di Cola:
Decision Making in IoT Environment through Unsupervised Learning. 27-35 - Hui Peng, Yifan Zhang, Sen Yang, Bin Song:
Battlefield Image Situational Awareness Application Based on Deep Learning. 36-43 - Marcos C. S. Santana, Leandro Aparecido Passos Júnior, Thierry Pinheiro Moreira, Danilo Colombo, Victor Hugo C. de Albuquerque, João Paulo Papa:
A Novel Siamese-Based Approach for Scene Change Detection With Applications to Obstructed Routes in Hazardous Environments. 44-53 - Jiuling Zhang, Yang Jia, Ding Zhu, Wei Hu, Zhenling Tang:
Study on the Situational Awareness System of Mine Fire Rescue Using Faster Ross Girshick-Convolutional Neural Network. 54-61 - Tiago Pinto:
Adaptive Learning in Electricity Market Negotiations Based on Determinism Theory. 62-73 - Yanping Chen, Yuefei Wu, Yongbin Qin, Ying Hu, Zeyu Wang, Ruizhang Huang, Xinyu Cheng, Ping Chen:
Recognizing Nested Named Entity Based on the Neural Network Boundary Assembling Model. 74-81 - Jetze Schuurmans, Flavius Frasincar, Erik Cambria:
Intent Classification for Dialogue Utterances. 82-88
Volume 35, Number 2, March - April 2020
- Longbing Cao, George Yuan, Tim Leung, Wei Zhang:
Special Issue on AI and FinTech: The Challenge Ahead. 3-6 - Xi Yu, Qi Yang, Ruiqi Wang, Runqing Fang, Mingsen Deng:
Data Cleaning for Personal Credit Scoring by Utilizing Social Media Data: An Empirical Study. 7-15 - Haitao Xiang, Jianwu Lin, Chun-Hung Chen, Ying Kong:
Asymptotic Meta Learning for Cross Validation of Models for Financial Data. 16-24 - Jianfei Yin, Ruili Wang, Shunda Ju, Yizhe Bai, Joshua Zhexue Huang:
An Asymptotic Statistical Learning Algorithm for Prediction of Key Trading Events. 25-35 - Kristiaan Pelckmans:
Monitoring High-Frequency Data Streams in FinTech: FADO Versus $K$K-Means. 36-42 - Wei Cao, Weidong Zhu, Wenjun Wang, Yves Demazeau, Chen Zhang:
A Deep Coupled LSTM Approach for USD/CNY Exchange Rate Forecasting. 43-53 - Xianjiao Wu, Qiang Ye, Hong Hong, Yijun Li:
Stock Selection Model Based on Machine Learning with Wisdom of Experts and Crowds. 54-64 - Yi-Fei Pu, Ni Zhang, Huai Wang:
Fractional-Order Memristive Predictor: Arbitrary-Order String Scaling Fracmemristor Based Prediction Model of Trading Price of Future. 65-77 - Le Chen, Xianzhi Yuan, Gaoyu Zhang, Qinghua Guo, Wei Liu, Shuyi Zhang:
The Study for Public Management Policy Utility Evaluation and Optimization System Under the Framework of Social Computing Perspective. 78-91 - Jian-Wu Bi, Yang Liu, Zhi-Ping Fan, Erik Cambria:
Crowd Intelligence: Conducting Asymmetric Impact-Performance Analysis Based on Online Reviews. 92-98 - Michael J. Wooldridge:
Through the Veil of Ignorance: Understanding Social Welfare. 99-101
Volume 35, Number 3, May - June 2020
- Longbing Cao, George Yuan, Tim Leung, Wei Zhang:
Special Issue on AI and FinTech: The Challenge Ahead. 3-6 - Shilong Gao, Huiqi Wang, Xianzhi Yuan, Lifeng Lin:
Cooperative Mechanism of SME Growth in the Mesoscopic Structure With Strategic and Nonstrategic Partners. 7-18 - Wang Duo, Xin Huang, Xiaofeng Ma:
Formal Analysis of Smart Contract Based on Colored Petri Nets. 19-30 - Lietong Liu, Mingxiao Du, Xiaofeng Ma:
Blockchain-Based Fair and Secure Electronic Double Auction Protocol. 31-40 - Wei Chen, Zhongfei Li, Jinchao Guo:
Domain Adaptation Learning Based on Structural Similarity Weighted Mean Discrepancy for Credit Risk Classification. 41-51 - Hua Li, Yumeng Cao, Siwen Li, Jianbin Zhao, Yutong Sun:
XGBoost Model and Its Application to Personal Credit Evaluation. 52-61 - Fan Wang, Junqin Lin, Lijian Wei:
An AI Model for Oil Volatility Forecasting. 62-70 - Shaolin Ji, Shige Peng, Ying Peng, Xichuan Zhang:
Three Algorithms for Solving High-Dimensional Fully Coupled FBSDEs Through Deep Learning. 71-84 - Feng He, Yuelei Li, Tiecheng Xu, Libo Yin, Wei Zhang, Xiaotao Zhang:
A Data-Analytics Approach for Risk Evaluation in Peer-to-Peer Lending Platforms. 85-95 - Shuaiqi Liu, Sen Wu:
Multiangle P2P Borrower Characterization Analytics by Attributes Partition Considering Business Process. 96-105 - Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani:
Cross-Lingual Sentiment Quantification. 106-114
Volume 35, Number 4, July - August 2020
- Yang Liu, Han Yu, Qiang Yang:
Introduction to the Special Issue on Federated Machine Learning. 3-4 - Huadi Zheng, Haibo Hu, Ziyang Han:
Preserving User Privacy for Machine Learning: Local Differential Privacy or Federated Machine Learning? 5-14 - Chi Zhang, Yu Liu, Le Wang, Yuehu Liu, Li Li, Nanning Zheng:
Joint Intelligence Ranking by Federated Multiplicative Update. 15-24 - Yang Liu, Qingchen Liu, Xiong Zhang, Shuqi Qin, Xiaoping Lei:
Distributed Privacy-Preserving Iterative Summation Protocols. 25-36 - Kun Zhao, Wei Xi, Zhi Wang, Jizhong Zhao, Ruimeng Wang, Zhiping Jiang:
SMSS: Secure Member Selection Strategy in Federated Learning. 37-49 - Aleksei Triastcyn, Boi Faltings:
Federated Generative Privacy. 50-57 - Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang:
A Sustainable Incentive Scheme for Federated Learning. 58-69 - Yang Liu, Yan Kang, Chaoping Xing, Tianjian Chen, Qiang Yang:
A Secure Federated Transfer Learning Framework. 70-82 - Yiqiang Chen, Xin Qin, Jindong Wang, Chaohui Yu, Wen Gao:
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare. 83-93 - Han Cha, Jihong Park, Hyesung Kim, Mehdi Bennis, Seong-Lyun Kim:
Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning. 94-101 - Jiachen Du, Lin Gui, Ruifeng Xu, Yunqing Xia, Xuan Wang, Erik Cambria:
Commonsense Knowledge Enhanced Memory Network for Stance Classification. 102-109 - Michael J. Wooldridge:
Understanding Mechanism Design-Part 1 of 3. 110-111 - Eric S. Vorm, Prithviraj Dasgupta:
Computer-Centered Humans: Why Human-AI Interaction Research Will Be Critical to Successful AI Integration in the DoD. 112-116 - Jennifer Golbeck:
Optimizing for Engagement Can Be Harmful. There Are Alternatives. 117-118
Volume 35, Number 5, September - October 2020
- Shoujin Wang, Gabriella Pasi, Liang Hu, Longbing Cao:
The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning. 3-6 - Yang Xiao, Lina Yao, Qingqi Pei, Xianzhi Wang, Jian Yang, Quan Z. Sheng:
MGNN: Mutualistic Graph Neural Network for Joint Friend and Item Recommendation. 7-17 - Yanan Zhang, Guanfeng Liu, An Liu, Yifan Zhang, Zhixu Li, Xiangliang Zhang, Qing Li:
Personalized Geographical Influence Modeling for POI Recommendation. 18-27 - Mario A. Leiva, Maximiliano Celmo David Budán, Gerardo I. Simari:
Guidelines for the Analysis and Design of Argumentation-Based Recommendation Systems. 28-37 - Jin Chen, Defu Lian, Kai Zheng:
Collaborative Filtering With Ranking-Based Priors on Unknown Ratings. 38-49 - Mingyang Zhong, Chaojie Li, Jiahui Wen, Liangchen Liu, Jingwei Ma, Guangda Zhang, Yin Yang:
HIGnet: Hierarchical and Interactive Gate Networks for Item Recommendation. 50-61 - Shangdong Yang, Hao Wang, Chenyu Zhang, Yang Gao:
Contextual Bandits With Hidden Features to Online Recommendation via Sparse Interactions. 62-72 - Jun Wu, Fangyuan Luo, Yujia Zhang, Haishuai Wang:
Semi-discrete Matrix Factorization. 73-83 - Yan Zhang, Ivor W. Tsang, Lixin Duan:
Collaborative Generative Hashing for Marketing and Fast Cold-Start Recommendation. 84-95 - Yosephine Susanto, Andrew G. Livingstone, Ng Bee Chin, Erik Cambria:
The Hourglass Model Revisited. 96-102 - Raj Madhavan, Jaclyn A. Kerr, Amanda R. Corcos, Benjamin P. Isaacoff:
Toward Trustworthy and Responsible Artificial Intelligence Policy Development. 103-108
Volume 35, Number 6, November - December 2020
- V. S. Subrahmanian:
The Future of AI: AI's 10 To Watch. 3-6 - Amir Elmishali, Roni Stern, Meir Kalech:
Diagnosing Software System Exploits. 7-15 - Min Zhou, Hairong Dong, Bin Ning, Feiyue Wang:
Parallel Urban Rail Transit Stations for Passenger Emergency Management. 16-27 - Jia Guo, Rui Jiang, Bo He, Tianhong Yan, Shuzhi Sam Ge:
General Learning Modeling for AUV Position Tracking. 28-38 - Pushkin Kachroo, Aaron Saiewitz, Robyn L. Raschke, Shaurya Agarwal, Jiheng Huang:
A New Language and Input-Output Hidden Markov Model for Automated Audit Inquiry. 39-49 - Edoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo:
Image Polarity Detection on Resource-Constrained Devices. 50-57
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