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ORCIDIEEE Intelligent Systems, Volume 38
Volume 38, Number 1, January - February 2023
- Li Li
, Yilun Lin, Yutong Wang, Fei-Yue Wang:
Simulation Driven AI: From Artificial to Actual and Vice Versa. 3-8 - Song Zhang, Nan Zheng, Danli Wang:
HetGRec: Heterogeneous Graph Attention Network for Group Recommendation. 9-18 - Vinh Quang Dinh, Tae Jong Choi:
StereoPairFree: Self-Constructed Stereo Correspondence Network From Natural Images. 19-33 - Qing Han, Xuebin Ren, Peng Zhao, Yimeng Wang, Luhui Wang, Cong Zhao, Xinyu Yang:
ECCVideo: A Scalable Edge Cloud Collaborative Video Analysis System. 34-44 - Geet Lahoti, Chitta Ranjan, Jialei Chen, Hao Yan, Chuck Zhang:
Convolutional Neural Network-Assisted Adaptive Sampling for Sparse Feature Detection in Image and Video Data. 45-57 - Yu-Xin Zhang, Zhan-Li Sun, Zhi-Gang Zeng, Kin-Man Lam:
Point Cloud Registration Using Multiattention Mechanism and Deep Hybrid Features. 58-68 - Fadi El Kalach, Ruwan Wickramarachchi, Ramy F. Harik, Amit P. Sheth:
A Semantic Web Approach to Fault Tolerant Autonomous Manufacturing. 69-75 - Sidney K. D'Mello, Brandon M. Booth:
Affect Detection From Wearables in the "Real" Wild: Fact, Fantasy, or Somewhere In between? 76-84
Volume 38, Number 2, March - April 2023
- Jürgen Dix, Zhongfei Zhang:
AI's 10 to Watch, 2022. 3-14 - Mostafa M. Amin, Erik Cambria, Björn W. Schuller:
Will Affective Computing Emerge From Foundation Models and General Artificial Intelligence? A First Evaluation of ChatGPT. 15-23 - Hazem Ibrahim, Rohail Asim, Fareed Zaffar, Talal Rahwan, Yasir Zaki:
Rethinking Homework in the Age of Artificial Intelligence. 24-27 - Nikolaos Mylonas, Ioannis Mollas, Bin Liu, Yannis Manolopoulos, Grigorios Tsoumakas:
On the Persistence of Multilabel Learning, Its Recent Trends, and Its Open Issues. 28-31 - Feng Xia, Leman Akoglu, Charu Aggarwal, Huan Liu:
Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection. 32-35 - Yihong Ma, Md Nafee Al Islam, Jane Cleland-Huang, Nitesh V. Chawla:
Detecting Anomalies in Small Unmanned Aerial Systems via Graphical Normalizing Flows. 46-54 - Lars Vidar Magnusson, J. Roland Olsson, Chau Thi Thuy Tran:
Recurrent Neural Networks for Oil Well Event Prediction. 73-80
Volume 38, Number 3, May - June 2023
- Zhen Wang, Ting Jiang, Zenghui Xu, Ji Zhang, Jianliang Gao:
Irregularly Sampled Multivariate Time Series Classification: A Graph Learning Approach. 3-11 - Maosheng Zhong, Jiangling Kuang, GanLin Liu, Xin Hua, Jiahua Wu:
The Dynamic Vectors-Based Attention Model for Chinese Mathematical Term Extraction. 12-20 - Lyuchao Liao, Ben Li, Fumin Zou, Dejuan Huang:
MFGCN: A Multimodal Fusion Graph Convolutional Network for Online Car-Hailing Demand Prediction. 21-30 - Yue Lu, Chao Guo, Xingyuan Dai, Fei-Yue Wang:
Generating Emotion Descriptions for Fine Art Paintings Via Multiple Painting Representations. 31-40 - Heng Shang, Guoshuai Zhao, Jing Shi, Xueming Qian:
A Multiview Text Imagination Network Based on Latent Alignment for Image-Text Matching. 41-50 - Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlí:
COVID-19 Sentiment Analysis Based on Tweets. 51-55 - Amit P. Sheth, Kaushik Roy, Manas Gaur:
Neurosymbolic Artificial Intelligence (Why, What, and How). 56-62 - Usama M. Fayyad:
From Stochastic Parrots to Intelligent Assistants - The Secrets of Data and Human Interventions. 63-67
Volume 38, Number 4, July - August 2023
- Mikolaj Kulakowski, Flavius Frasincar:
Sentiment Classification of Cryptocurrency-Related Social Media Posts. 5-9 - Kaifang Dong, Yifan Liu, Fuyong Xu, Peiyu Liu:
DCAT: Combining Multisemantic Dual-Channel Attention Fusion for Text Classification. 10-19 - Wenbin An, Feng Tian, Ping Chen, Qinghua Zheng, Wei Ding:
New User Intent Discovery With Robust Pseudo Label Training and Source Domain Joint Training. 21-31 - Naiquan Su, Qinghua Zhang, Lingmeng Zhou, Xiaoxiao Chang, Ting Xu:
A Fault Diagnosis of Rotating Machinery Based on a Mutual Dimensionless Index and a Convolution Neural Network. 33-41 - Randhir Kumar, Prabhat Kumar, Ahamed Aljuhani, A. K. M. Najmul Islam, Alireza Jolfaei, Sahil Garg:
Deep Learning and Smart Contract-Assisted Secure Data Sharing for IoT-Based Intelligent Agriculture. 42-51 - Om Prakash Singh, Amit Kumar Singh, Huiyu Zhou:
Multimodal Fusion-Based Image Hiding Algorithm for Secure Healthcare System. 53-61 - Jahna Otterbacher, Yannis Manolopoulos:
Machine Ethics Research: Promises and Potential Pitfalls. 62-68
Volume 38, Number 5, September - October 2023
- Mostafa M. Amin, Erik Cambria, Björn W. Schuller:
Can ChatGPT's Responses Boost Traditional Natural Language Processing? 5-11 - Thilini Wijesiriwardene, Amit P. Sheth, Valerie L. Shalin, Amitava Das:
Why Do We Need Neurosymbolic AI to Model Pragmatic Analogies? 12-16 - Zhendong Chen, Fuzhen Zhuang, Lejian Liao, Meihuizi Jia, Jiaqi Li, Heyan Huang:
Effectively Modeling Sentence Interactions With Factorization Machines for Fact Verification. 18-27 - Xiao Liu, Shuyang Liu, Bo An, Yang Gao, Shangdong Yang, Wenbin Li:
Effective Interpretable Policy Distillation via Critical Experience Point Identification. 28-36 - Kevin Rafael Palomino Pacheco, Carmen Berdugo:
Big Data Analytics and Mental Health: Would Ethics Be the Only Safeguard Against the Risks of Identifying "Potential Patients"? 37-44 - Guorui Li, Yajun Wu, Cong Wang, Sancheng Peng, Jianwei Niu, Shui Yu:
The SRVM: A Similarity-Based Relevance Vector Machine for Remaining Useful Lifetime Prediction in the Industrial Internet of Things. 45-55 - Zikang Wang, Linjing Li, Jinlin Li, Pengfei Zhao, Daniel Zeng:
CRule: Category-Aware Symbolic Multihop Reasoning on Knowledge Graphs. 56-64
Volume 38, Number 6, November - December 2023
- Fang Chen, Jianlong Zhou, Andreas Holzinger, Kenneth R. Fleischmann, Simone Stumpf:
Artificial Intelligence Ethics and Trust: From Principles to Practice. 5-8 - Maryem Marzouk, Cyrine Zitoun, Oumaima Belghith, Sabri Skhiri:
The Building Blocks of a Responsible Artificial Intelligence Practice: An Outlook on the Current Landscape. 9-18 - Andreas Duenser, David M. Douglas:
Whom to Trust, How and Why: Untangling Artificial Intelligence Ethics Principles, Trustworthiness, and Trust. 19-26 - Amelie Schmid, Manuel Wiesche:
The Importance of an Ethical Framework for Trust Calibration in AI. 27-34 - Reneira Seeamber, Cosmin Badea:
If Our Aim Is to Build Morality Into an Artificial Agent, How Might We Begin to Go About Doing So? 35-41 - Qinghua Lu, Yuxiu Luo, Liming Zhu, MingJian Tang, Xiwei Xu, Jon Whittle:
Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible Artificial Intelligence Engineering Approach. 42-51 - Uwe Peters, Mary Carman:
Unjustified Sample Sizes and Generalizations in Explainable Artificial Intelligence Research: Principles for More Inclusive User Studies. 52-60 - Erik Cambria, Rui Mao, Melvin Chen, Zhaoxia Wang, Seng-Beng Ho:
Seven Pillars for the Future of Artificial Intelligence. 62-69 - Xiao Wang, Yutong Wang, Mariana S. Netto, Larry Stapleton, Zhe Wan, Fei-Yue Wang:
Smart Decentralized Autonomous Organizations and Operations for Smart Societies: Human-Autonomous Organizations for Industry 5.0 and Society 5.0. 70-74 - Jing Yang, Xiao Wang, Yonglin Tian, Xiao Wang, Fei-Yue Wang:
Parallel Intelligence in CPSSs: Being, Becoming, and Believing. 75-80
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