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ORCIDIEEE Intelligent Systems, Volume 37
Volume 37, Number 1, January - February 2022
- Longbing Cao
:
AI Science and Engineering: A New Field. 3-13 - Longbing Cao:
AI Science and Engineering. 14-15 - Fei-Yue Wang:
Parallel Intelligence in Metaverses: Welcome to Hanoi! 16-20 - Bhavani Thuraisingham:
Trustworthy Machine Learning. 21-24 - Longbing Cao:
A New Age of AI: Features and Futures. 25-37 - Hui Tian, Lulu Wang, Hong Shen, Alan Wee-Chung Liew:
Improved Ensemble Classification for Evolving Data Streams. 38-50 - Yonghong Yu, Xuewen Chen, Li Zhang, Rong Gao, Haiyan Gao:
Neural Graph for Personalized Tag Recommendation. 51-59 - Youcheng Luo, Xiaoyang Xu, Yiqun Liu, Hanqing Chao, Hai Chu, Lei Chen, Junping Zhang, Leiming Ma, James Z. Wang:
Robust Precipitation Bias Correction Through an Ordinal Distribution Autoencoder. 60-70 - Zikang Wang, Linjing Li, Daniel Dajun Zeng:
Hierarchical Multihop Reasoning on Knowledge Graphs. 71-78 - Adam Niewola:
Mobile Robot 6-D Localization Using 3-D Gaussian Mixture Maps in GPS-Denied Environments. 79-88 - Michal Kompan, Peter Gaspar, Jakub Macina, Matus Cimerman, Mária Bieliková:
Exploring Customer Price Preference and Product Profit Role in Recommender Systems. 89-98 - Qiudan Li, Hejing Liu, Riheng Yao, David Jingjun Xu, Daniel Dajun Zeng:
Entity Matters in News: An Association Network-Enhanced Method for News Reprint Prediction. 99-107 - Anna Gautier, Michael J. Wooldridge:
Understanding Mechanism Design - Part 3 of 3: Mechanism Design in the Real World: The VCG Mechanism. 108-109 - Guansong Pang:
AI in Beijing 2022 Olympic Winter Games. 110
Volume 37, Number 2, March - April 2022
- Longbing Cao:
AI in Combating the COVID-19 Pandemic. 3-13 - Longbing Cao:
Non-IID Federated Learning. 14-15 - Feiyue Wang, Wenwen Ding, Xiao Wang, Jon Garibaldi, Siyu Teng, Imre J. Rudas, Cristina Olaverri-Monreal:
The DAO to DeSci: AI for Free, Fair, and Responsibility Sensitive Sciences. 16-22 - Bo An, Shuo Sun, Rundong Wang:
Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities. 23-26 - Shaoxiong Ji, Wenqi Jiang, Anwar Walid, Xue Li:
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning. 27-34 - Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim:
Robust Federated Learning With Noisy Labels. 35-43 - Ziqiu Chi, Zhe Wang, Wenli Du:
Heterogeneous Federated Meta-Learning With Mutually Constrained Propagation. 44-54 - Alberto Carlevaro, Maurizio Mongelli:
A New SVDD Approach to Reliable and Explainable AI. 55-68 - Tianlei Wang, Jiuwen Cao, Haozhen Dai, Baiying Lei, Huanqiang Zeng:
Robust Maximum Mixture Correntropy Criterion Based One-Class Classification Algorithm. 69-78 - Yunfeng Xiang, Yansong He, Yugong Luo, Dexu Bu, Weiwei Kong, Jian Chen:
Recognition Model of Sideslip of Surrounding Vehicles Based on Perception Information of Driverless Vehicle. 79-91 - Aref Safari, Rahil Hosseini, Mahdi Mazinani:
A Type-2 Fuzzy Time Series Model for Pattern Similarity Analysis: A Case Study on Air Quality Forecasting. 92-102 - Mauro Dragoni, Ivan Donadello, Erik Cambria:
OntoSenticNet 2: Enhancing Reasoning Within Sentiment Analysis. 103-110 - Guansong Pang:
The AI Chip Race. 111-112
Volume 37, Number 3, May - June 2022
- Longbing Cao:
Deep Learning Applications. 3-5 - Longbing Cao:
Decentralized AI: Edge Intelligence and Smart Blockchain, Metaverse, Web3, and DeSci. 6-19 - Peter R. Wurman, Peter Stone, Michael Spranger:
Challenges and Opportunities of Applying Reinforcement Learning to Autonomous Racing. 20-23 - Michael J. Wooldridge:
Welcome to Big AI. 24-26 - Avigail Stekel, Amos Azaria:
Deep Learning Architectures for Approximating Goldbach's Function in New Regions. 27-35 - Olga Andreeva, Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen:
Maximizing Fairness in Deep Neural Networks via Mode Connectivity. 36-44 - Zhixiong Zeng, Nan Xu, Wenji Mao, Daniel Zeng:
An Orthogonal Subspace Decomposition Method for Cross-Modal Retrieval. 45-53 - Aram Ter-Sarkisov:
One Shot Model for COVID-19 Classification and Lesions Segmentation in Chest CT Scans Using Long Short-Term Memory Network With Attention Mechanism. 54-64 - Ziqiang Pu, Diego Cabrera, Chuan Li, José Valente de Oliveira:
VGAN: Generalizing MSE GAN and WGAN-GP for Robot Fault Diagnosis. 65-75 - Ruochen Liu, Dawei Jiang, Xilong Zhang:
A Stable Deep Reinforcement Learning Framework for Recommendation. 76-84 - Duy Van Le, James Montgomery, Kenneth C. Kirkby, Joel Scanlan:
Adding an Inception Network to Neural Network Open Information Extraction. 85-97 - Fuyong Sun, Ruipeng Gao, Weiwei Xing, Yaoxue Zhang, Wei Lu, Jun Fang, Shui Liu:
Deep Fusion for Travel Time Estimation Based on Road Network Topology. 98-107
Volume 37, Number 4, July - August 2022
- Longbing Cao:
Non-IID Learning. 3-4 - Longbing Cao:
Beyond i.i.d.: Non-IID Thinking, Informatics, and Learning. 5-17 - Xuan Li, Peijun Ye, Juanjuan Li, Zhongmin Liu, Longbing Cao, Fei-Yue Wang:
From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V. 18-26 - João Gama, Rita P. Ribeiro, Bruno Veloso:
Data-Driven Predictive Maintenance. 27-29 - Usama M. Fayyad:
The Secrets of Data Science Deployments. 30-34 - Fei Hu, Wuneng Zhou, Kaili Liao, Hongliang Li:
Contribution- and Participation-Based Federated Learning on Non-IID Data. 35-43 - Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi:
Bayesian Optimization for Expensive Smooth-Varying Functions. 44-55 - Vladimir Joukov, Dana Kulic:
Fast Approximate Multioutput Gaussian Processes. 56-69 - Milad Keshtkar Langeroudi, Mohammad Reza Yamaghani, Siavash Khodaparast:
FD-LSTM: A Fuzzy LSTM Model for Chaotic Time-Series Prediction. 70-78 - Maosheng Zhong, GanLin Liu, Jian Xiong, Jiali Zuo:
DualNER: A Trigger-Based Dual Learning Framework for Low-Resource Named Entity Recognition. 79-87 - Hafiz Salman Asif, Periklis A. Papakonstantinou, Stephanie Shiau, Vivek K. Singh, Jaideep Vaidya:
Intelligent Pandemic Surveillance via Privacy-Preserving Crowdsensing. 88-96 - Xiao Wang, Jing Yang, Jinpeng Han, Wei Wang, Fei-Yue Wang:
Metaverses and DeMetaverses: From Digital Twins in CPS to Parallel Intelligence in CPSS. 97-102 - Henglin Shi, Wei Peng, Haoyu Chen, Xin Liu, Guoying Zhao:
Multiscale 3D-Shift Graph Convolution Network for Emotion Recognition From Human Actions. 103-110
Volume 37, Number 5, September - October 2022
- Longbing Cao:
AutoAI: Autonomous AI. 3-5 - Longbing Cao:
Beyond AutoML: Mindful and Actionable AI and AutoAI With Mind and Action. 6-18 - Peijun Ye, Fei-Yue Wang:
Parallel Population and Parallel Human - A Cyber-Physical Social Approach. 19-27 - Uwe Aickelin, Mansoureh Maadi, Hadi Akbarzadeh Khorshidi:
Expert-Machine Collaborative Decision Making: We Need Healthy Competition. 28-31 - Samarth Singh, Kaushal Kishore, Sagar Dalai, Mahammad Irfan, Sanjay Singh, Shaik Ali Akbar, Gurpreet Sachdeva, Ramesh Yechangunja:
CACLA-Based Local Path Planner for Drones Navigating Unknown Indoor Corridors. 32-41 - Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
Knowledge-Based Entity Prediction for Improved Machine Perception in Autonomous Systems. 42-49 - Ilir Kola, Pradeep K. Murukannaiah, Catholijn M. Jonker, M. Birna van Riemsdijk:
Toward Social Situation Awareness in Support Agents. 50-58 - Srinibas Swain, Deepak Puthal, Elisa Bertino:
CryptoCliqIn: Graph-Theoretic Cryptography Using Clique Injection. 59-65 - Sara Narteni, Vanessa Orani, Ivan Vaccari, Enrico Cambiaso, Maurizio Mongelli:
Sensitivity of Logic Learning Machine for Reliability in Safety-Critical Systems. 66-74 - Luping Wang, Hui Wei:
Recognizing Slanted Deck Scenes by Non-Manhattan Spatial Right Angle Projection. 75-85 - Ruichen Tan, Ruiyang Gao, Wenbo Li, Kai Cao, Ying Li, Chen Lv, Fei-Yue Wang, Dongpu Cao:
Xsickness in Intelligent Mobile Spaces and Metaverses. 86-94
Volume 37, Number 6, November - December 2022
- Guansong Pang:
Artificial Intelligence for Natural Disaster Management. 3-6 - Yuhang Liu, Yu Shen, Chao Guo, Yonglin Tian, Xiao Wang, Yin Zhu, Fei-Yue Wang:
MetaSensing in Metaverses: See There, Be There, and Know There. 7-12 - Enrico Malizia, Cristian Molinaro, Francesco Parisi:
Guest Editorial: Reasoning With Inconsistent, Incomplete, and Uncertain Knowledge. 13-17 - Luciano Caroprese, Ester Zumpano, Bart Bogaerts:
Computing Abductive Explanations. 18-26 - Saïd Jabbour, Yue Ma, Badran Raddaoui:
A Framework for Reasoning About Uncertainty in Ontologies. 27-37 - Zhiguo Long, Michael Sioutis, Qingqian Li, Hua Meng, Heng-Chao Li:
Approximating Region Boundaries Based on Qualitative and Quantitative Information. 38-47 - Livia Lestingi, Marcello M. Bersani, Matteo Rossi:
Model-Driven Development of Service Robot Applications Dealing With Uncertain Human Behavior. 48-56 - Iker Beñaran-Muñoz, Jerónimo Hernández-González, Aritz Pérez:
Machine Learning From Crowds Using Candidate Set-Based Labeling. 57-68 - Johanna Löchner, Björn W. Schuller:
Child and Youth Affective Computing - Challenge Accepted. 69-76 - Chen Zhao, Xingyuan Dai, Yisheng Lv, Yonglin Tian, Yuhai Ren, Fei-Yue Wang:
Foundation Models for Transportation Intelligence: ITS Convergence in TransVerse. 77-82
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