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ORCIDIEEE Intelligent Systems, Volume 40
Volume 40, Number 1, January - February 2025
- Bo An
:
Pioneering the Future: Advancing Innovation and Collaboration. 5-6 - Hironori Washizaki:
IEEE Intelligent Systems: Celebrating 40 Years of Excellence and Looking Ahead to the Future. 7 - Jaideep Vaidya:
Forty Years of IEEE Intelligent Systems: Heralding Research and Innovation in AI. 8 - Daniel Edmund O'Leary, James A. Hendler, Daniel Zeng, V. S. Subrahmanian, San Murugesan:
Reflections From Former EICs: 40 Years of IEEE Intelligent Systems. 9-13 - Jürgen Dix, Zhongfei (Mark) Zhang:
AI's 10 to Watch for 2024. 14-19 - San Murugesan:
The Turing Test at 75: Its Legacy and Future Prospects. 20-24 - Peter Stone:
Artificial Intelligence: Looking Forward 15 Years. 25-29 - Qin Zhang, Ziqi Liu, Shirui Pan:
The Rise of Small Language Models. 30-37 - Ahmed M. Abdelmoniem, Yuchen Zhao:
Knowledge Routing in Decentralized Learning. 38-44 - Mengyao Wu, F. Richard Yu, Peter Xiaoping Liu, Ying He:
Facilitating Autonomous Driving Tasks With Large Language Models. 45-52 - Arun Narayanan, Evangelos Pournaras, Pedro H. J. Nardelli:
Large-Scale Package Deliveries With Unmanned Aerial Vehicles Using Collective Learning. 53-62 - Daniel E. O'Leary:
Confirmation and Specificity Biases in Large Language Models: An Explorative Study. 63-68 - Lingling Xu, Haoran Xie, S. Joe Qin, Fu Lee Wang, Xiaohui Tao:
Exploring ChatGPT-Based Augmentation Strategies for Contrastive Aspect-Based Sentiment Analysis. 69-76
Volume 40, Number 2, March - April 2025
- Hao Xue, Ming Jin, Shirui Pan, Flora Salim:
Transforming Urban Dynamics: Harnessing Large Language Models for Smarter Mobility. 5-7 - San Murugesan:
The Rise of Agentic AI: Implications, Concerns, and the Path Forward. 8-14 - Kelvin Du, Yazhi Zhao, Rui Mao, Frank Xing, Erik Cambria:
A Retrieval-Augmented Multiagent System for Financial Sentiment Analysis. 15-22 - Daniel E. O'Leary:
An Anchoring Effect in Large Language Models. 23-26 - Amit P. Sheth, Vedant Khandelwal, Kaushik Roy, Vishal Pallagani, Megha Chakraborty:
NeuroSymbolic Knowledge-Grounded Planning and Reasoning in Artificial Intelligence Systems. 27-34 - Yitong Li, Changlun Zhang, Hengyou Wang:
Boundaries Matters: A Novel Multibranch Semisupervised Semantic Segmentation Method. 35-44 - Ozan K. Tonguz, Federico Taschin:
On the Measurement of Distribution Shift in Machine Learning Systems. 45-54 - Siyan Guo, Cong Zhao, Shusen Yang, Yingying Liang, Yimeng Wang, Qing Han:
Edge-Cloud Collaborative Real-Time Video Object Detection for Industrial Surveillance Systems. 55-63
Volume 40, Number 3, May - June 2025
- Tianxing Wang, Can Wang:
Point-of-Interest Recommendations and Large Language Models: A Powerful Combination. 5-9 - Mohammad Nadeem, Shahab Saquib Sohail, Erik Cambria, Björn W. Schuller, Amir Hussain:
Gender Bias in Text-to-Video Generation Models: A Case Study of Sora. 10-15 - Yuxin Zi, Kaushik Roy, Amit P. Sheth:
Cognitive Neurosymbolic Artificial Intelligence for Complex Decision-Making: Integrating Foundation Models, Cognitive Architectures, and Knowledge. 16-22 - Milind Tambe, Fei Fang, Andrew Perrault, Bryan Wilder:
The Next Wave of AI for Social Impact: Challenges and Opportunities. 23-27 - Sitao Min, Hafiz Salman Asif, Jaideep Vaidya:
Exploring the Inequitable Impact of Data Missingness on Fairness in Machine Learning. 28-38 - Jeewaka Perera, Sasitharan Balasubramaniam, Samitha Somathilaka, Qu Wen, Xu Li, Dharshana Kasthurirathna, Arman Roohi, M. Tyler Nelson:
Wet-Neuromorphic Computing: A New Paradigm for Biological Artificial Intelligence. 39-48 - Nikolaos Grigorios Markatos, Alireza Mousavi, Evina Katsou, Giulia Pippione, Roberto Paoletti:
Feature Selection to Address High Dimensionality in Industry 4.0 Multi-Emitter Laser Modules Assembly Lines. 49-58 - Xuenong Hong, Yee-Yang Tee, Zilong Hu, Tong Lin, Yiqiong Shi, Deruo Cheng, Bah-Hwee Gwee:
GNNReveal: A Novel Graph-Neural-Network-Based Attack Method for Integrated Circuit Logic Gate Decamouflaging. 59-67 - Hai Anh Tran, Duc Tran:
FL4SDN: A Fast-Convergent Federated Learning for Distributed and Heterogeneous SDN. 68-79
Volume 40, Number 4, July - August 2025
- Prithviraj Dasgupta, Damian Marriott, Li Li, Priya Narayanan:
Intelligent and Autonomous Systems in Government. 5-7 - Tonmoay Deb, Sven de Laaf, Valerio La Gatta, Odette Lemmens, Roy Lindelauf, Max van Meerten, Herwin Meerveld, Afke Neeleman, Marco Postiglione, Venkatramanan Siva Subrahmanian:
A Drone Early Warning System for Predicting Threatening Trajectories. 8-18 - Divija Swetha Gadiraju, Deepak Khazanchi:
A Blockchain-Driven Framework for Deep Reinforcement Learning-Controlled UAV Bridge Health Monitoring. 19-28 - Hamoun Mohammadi, Jonathan J. Davis, Mitchell Kiely:
Leveraging Large Language Models for Autonomous Cyber Defense: Insights from CAGE-2 Simulations. 29-36 - Sunyi Liu, Mengzhe Geng, Rebecca Hart:
Exploring Generative Artificial Intelligence Techniques in Government: A Case Study. 37-45 - Humphrey Rutagemwa, Amir Ghasemi, Paul Guinand:
Empowering Future Spectrum Management and Regulation With Large Language Models. 46-54 - Maria Teresa Baldassarre, Danilo Caivano, Berenice Fernández Nieto, Azzurra Ragone:
Ethics-Driven Incentives: Supporting Government Policies for Responsible Artificial Intelligence Innovation. 55-63 - Yee Sen Tan, Zhaoxia Wang, Erik Cambria:
Explainable Multimodal Sentiment Analysis of Social Media Visual Content for Child Safety. 64-72
Volume 40, Number 5, September - October 2025
- Shafkat Islam, Min-Hsueh Chiu, Trevor Bonjour, Ruy de Oliveira, Bharat K. Bhargava, Mayank Kejriwal:
A Q-Learning Novelty Search Strategy for Evaluating Robustness of Deep Reinforcement Learning in Open-World Environments. 5-15 - Hassan El Alami, Danda B. Rawat:
UASDefMeta: A Meta-Learning-Based Defense Approach for Detecting Unmanned Aerial Systems Eavesdropping in Mission-Critical Applications. 16-24 - Hui Liu, Minhang Liu, Faliang Chang, Chunsheng Liu, Yansha Lu:
Semantic Map Construction Under Complex Weather Scenarios. 25-33 - Evandro S. Ortigossa, Fábio Felix Dias, Brian Barr, Cláudio T. Silva, Luis Gustavo Nonato:
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients. 34-44 - Mengjia Niu, Jiawen Zhu, Hezhe Qiao, Hamed Haddadi, Guansong Pang:
Securing Foundation Models: Failure Cases, Challenges, and the Future. 52-56 - Ramayya Krishnan, John P. Lalor, Nicolas Prat, Ahmed Abbasi:
art. 45-51 - Cheng Zhang, Bo Du, Qiuyun Luan, Jun Shen:
Machine Learning Approaches for Micromobility User Behavior Analysis. 57-61 - Yang Zhang, Hui Chen, Imad Rida, Xianxun Zhu:
A Generative Random Modality Dropout Framework for Robust Multimodal Emotion Recognition. 62-69
Volume 40, Number 6, November - December 2025
- Rui Mao, Erik Cambria, Yang Li, Newton Howard:
Explicable Artificial Intelligence for Affective Computing. 5-9 - Xifeng Ning, Hailu Sun, Dejun Yu, Chao Yang, Ruonan Fang, Lin Fan, Qika Lin, Yifan Zhu:
Fine-Tuning Large Language Models With Behavioral Alignment for Depression Detection. 10-18 - Mengtian Shi, Rui Fan, Tingting He, Guanyi Chen:
Considering Sentiment Causes in In-Context Learning for Aspect-Based Sentiment Analysis. 19-28 - Zohaib Ahmad Khan, Yuanqing Xia, Fiza Khaliq, Weiwei Jiang, Muhammad Shahid Anwar:
AI-Based Hate Speech Detection System Using Video URLs for Effective Content Moderation. 29-40 - Sainan Zhang, Jun Zhang, Weiguo Song, Tan Yue, Luyao Zhu:
ARISE: Explainable Multimodal Aggressive Driving Detection via Driver State and Environment Perception. 41-51 - Donghao Huang, Zhaoxia Wang:
Explainable Sentiment Analysis With DeepSeek-R1: Performance, Efficiency, and Few-Shot Learning. 52-63 - Xieling Chen, Haoran Xie, S. Joe Qin, Lingling Xu, Xiaohui Tao, Fu Lee Wang:
Leveraging ChatGPT-Based Augmentation and Contrastive Learning for Chinese Massive Open Online Course Sentiment Analysis. 64-72 - Bo Han:
Trustworthy Machine Learning in the Era of Foundation Models. 73-79 - Thilini Wijesiriwardene, Krishnaprasad Thirunarayanan, Amit P. Sheth:
From Morphemes to Knowledge Graphs: Enabling Abstractions in Large Language Models With Neurosymbolic AI. 80-86 - Robert M. Davison, Marco Marabelli:
Large Language Models and the Environment: Open Problems and Potential Solutions. 87-90 - Teddy Ferdinan, Wiktoria Mieleszczenko-Kowszewicz, Jan Kocon, Przemyslaw Kazienko:
Architectural Concepts for Integrating Fundamental Drives and Emotions Into Artificial Intelligence. 91-98
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