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IEEE 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
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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
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Reflections From Former EICs: 40 Years of IEEE Intelligent Systems. 9-13 - Jürgen Dix
, Zhongfei (Mark) Zhang
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AI's 10 to Watch for 2024. 14-19 - San Murugesan
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The Turing Test at 75: Its Legacy and Future Prospects. 20-24 - Peter Stone
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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
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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
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Large-Scale Package Deliveries With Unmanned Aerial Vehicles Using Collective Learning. 53-62 - Daniel E. O'Leary
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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
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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
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NeuroSymbolic Knowledge-Grounded Planning and Reasoning in Artificial Intelligence Systems. 27-34 - Yitong Li
, Changlun Zhang
, Hengyou Wang
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Boundaries Matters: A Novel Multibranch Semisupervised Semantic Segmentation Method. 35-44 - Ozan K. Tonguz
, Federico Taschin
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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
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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
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The Next Wave of AI for Social Impact: Challenges and Opportunities. 23-27 - Sitao Min
, Hafiz Salman Asif, Jaideep Vaidya
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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
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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
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GNNReveal: A Novel Graph-Neural-Network-Based Attack Method for Integrated Circuit Logic Gate Decamouflaging. 59-67 - Hai Anh Tran
, Duc Tran
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FL4SDN: A Fast-Convergent Federated Learning for Distributed and Heterogeneous SDN. 68-79

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