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ORCIDIEEE Intelligent Systems, Volume 39
Volume 39, Number 1, January - February 2024
- Amit P. Sheth
, Kaushik Roy:
Neurosymbolic Value-Inspired Artificial Intelligence (Why, What, and How). 5-11 - Ricardo Baeza-Yates, Usama M. Fayyad:
Responsible AI: An Urgent Mandate. 12-17 - Roberto Confalonieri, Jose Maria Alonso-Moral:
An Operational Framework for Guiding Human Evaluation in Explainable and Trustworthy Artificial Intelligence. 18-28 - Guipeng Lan, Shuai Xiao, Jiabao Wen, Desheng Chen, Yong Zhu:
Data-Driven Deepfake Forensics Model Based on Large-Scale Frequency and Noise Features. 29-35 - Yee-Yang Tee, Deruo Cheng, Yiqiong Shi, Tong Lin, Bah-Hwee Gwee:
Integrated Circuit Mask-Generative Adversarial Network for Circuit Annotation With Targeted Data Augmentation. 37-45 - Xi Chen, Yuehai Wang, Jianyi Yang:
UCRI: A Unified Conversational Recommender System Based on Item-Guided Conditional Generation. 46-55 - Tianxing Wang, Can Wang:
Embracing LLMs for Point-of-Interest Recommendations. 56-59 - Daniel E. O'Leary:
The Rise and Design of Enterprise Large Language Models. 60-63 - Shirui Pan, Yizhen Zheng, Yixin Liu:
Integrating Graphs With Large Language Models: Methods and Prospects. 64-68
Volume 39, Number 2, March - April 2024
- Mohammad Anas, Anam Saiyeda, Shahab Saquib Sohail, Erik Cambria, Amir Hussain:
Can Generative AI Models Extract Deeper Sentiments as Compared to Traditional Deep Learning Algorithms? 5-10 - Ruixue Zhang, Jiao Wang, Jun Ge, Qiyuan Huang:
Multiagent Cooperative Search Learning With Intermittent Communication. 11-20 - Ke Sun, Ciyuan Peng, Shuo Yu, Zhuoyang Han, Feng Xia:
From Electroencephalogram Data to Brain Networks: Graph-Learning-Based Brain Disease Diagnosis. 21-29 - Liping Chen, Yilin Wu, Qiudan Li, Yuxuan Song, Chenyu Yuan, Daniel Dajun Zeng:
Mining the User's Personality With an Attention-Based Label Prompt Method. 31-39 - Tommaso Turchi, Alessio Malizia, Simone Borsci:
Reflecting on Algorithmic Bias With Design Fiction: The MiniCoDe Workshops. 40-50 - Houwang Zhang, Leanne Lai-Hang Chan:
Overcoming the Challenges of Long-Tail Distribution in Nighttime Vehicle Detection. 51-60 - Jingchao Wang, Xinyi Zhang, Weimin Li, Xiao Yu, Fangfang Liu, Qun Jin:
Group Behavior Prediction and Evolution in Social Networks. 62-65 - Goonmeet Bajaj, Valerie L. Shalin, Srinivasan Parthasarathy, Amit P. Sheth:
Grounding From an AI and Cognitive Science Lens. 66-71 - Daniel E. O'Leary:
Large Language Models and Applications: The Rebirth of Enterprise Knowledge Management and the Rise of Prompt Libraries. 72-75
Volume 39, Number 3, May - June 2024
- Przemyslaw Kazienko, Erik Cambria:
Toward Responsible Recommender Systems. 5-12 - Utkarshani Jaimini, Cory A. Henson, Amit P. Sheth:
Causal Neurosymbolic AI: A Synergy Between Causality and Neurosymbolic Methods. 13-19 - Tianlong Xu, Richard Jiarui Tong, Jing Liang, Xing Fan, Haoyang Li, Qingsong Wen:
Foundation Models for Education: Promises and Prospects. 20-24 - Nicholas Moratelli, Manuele Barraco, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Are Learnable Prompts the Right Way of Prompting? Adapting Vision-and-Language Models with Memory Optimization. 26-34 - Jialou Wang, Manli Zhu, Yulei Li, Honglei Li, Longzhi Yang, Wai Lok Woo:
Detect2Interact: Localizing Object Key Field in Visual Question Answering with LLMs. 35-44 - Jiahui Shi, Linjing Li, Daniel Zeng:
SHAPAttack: Shapley-Guided Multigranularity Adversarial Attack Against Text Transformers. 45-53 - Jingchao Wang, Xiao Liu, Weimin Li, Fangfang Liu, Xing Wu, Qun Jin:
A Text-Enhanced Transformer Fusion Network for Multimodal Knowledge Graph Completion. 54-62 - Qizhen Wu, Kexin Liu, Lei Chen:
Model Predictive Control-Based Value Estimation for Efficient Reinforcement Learning. 63-72 - Daniel E. O'Leary:
A Comparison of Numeric Assessments of Ideas From Two Large Language Models: With Implications for Validating and Choosing LLMs. 73-76
Volume 39, Number 4, July - August 2024
- Geng Tu, Taiyu Niu, Ruifeng Xu, Bin Liang, Erik Cambria:
AdaCLF: An Adaptive Curriculum Learning Framework for Emotional Support Conversation. 5-11 - Tuukka Ruotsalo, V. Javier Traver, Aleksandra Kawala-Sterniuk, Luis A. Leiva:
Affective Relevance. 12-22 - Yanbing Wang, Hong He:
Electroencephalogram Emotion Recognition Based on Manifold Geomorphological Features in Riemannian Space. 23-36 - Luca Nannini, Jose Maria Alonso-Moral, Alejandro Catalá, Manuel Lama, Senén Barro:
Operationalizing Explainable Artificial Intelligence in the European Union Regulatory Ecosystem. 37-48 - Min-Yan Tsai, Hsin-Hung Cho, Chia-Mu Yu, Yao-Chung Chang, Han-Chieh Chao:
Effective Adversarial Examples Identification of Credit Card Transactions. 50-59 - Haopeng Wang, Haiwei Dong, Abdulmotaleb El-Saddik:
Tile-Weighted Rate-Distortion Optimized Packet Scheduling for 360° Virtual-Reality Video Streaming. 60-72 - Yuanhai Lv, Gexuan Wang, Wanqing Zhao, Wei Zhao, Ziyu Guan:
Edge-Weight-Embedding Graph Convolutional Network for Person Reidentification. 74-82 - Daniel E. O'Leary:
Do Large Language Models Bias Human Evaluations? 83-87
Volume 39, Number 5, September - October 2024
- Amit P. Sheth, Vishal Pallagani, Kaushik Roy:
Neurosymbolic AI for Enhancing Instructability in Generative AI. 5-11 - Jason Samuel Lucas, Barani Maung Maung, Maryam Tabar, Keegan McBride, Dongwon Lee:
The Longtail Impact of Generative AI on Disinformation: Harmonizing Dichotomous Perspectives. 12-19 - Luca Pajola, Mauro Conti:
Lights Toward Adversarial Machine Learning: The Achilles Heel of Artificial Intelligence. 20-24 - Maciej Blaszke, Grazina Korvel, Bozena Kostek:
Exploring Neural Networks for Musical Instrument Identification in Polyphonic Audio. 25-36 - Hanxuan Yang, Qingchao Kong, Ruike Zhang, Wenji Mao:
Efficient Spiking Variational Graph Autoencoders for Unsupervised Graph Representation Learning Tasks. 37-46 - Yantong Chen, Yanyan Zhang, Jialiang Wang, Yang Liu:
Ship Grid: A Novel Anchor-Free Ship Detection Algorithm. 47-56 - Bo Xu, Bin Gao, Yunhu Li:
Improved Small Object Detection Algorithm Based on YOLOv5. 57-65 - Wenkai Huang, Gaolei Li, Xiaoyu Yi, Jianhua Li, Chengcheng Zhao, Ying Yin:
SupRTE: Suppressing Backdoor Injection in Federated Learning via Robust Trust Evaluation. 66-77 - Daniel E. O'Leary:
Do ChatGPT 4o, 4, and 3.5 Generate "Similar" Ratings? Findings and Implications. 78-81 - Xinyue Zhang, Zhaoxia Wang, Guitao Cao, Seng-Beng Ho:
Joint Weakly Supervised Image Emotion Analysis Based on Interclass Discrimination and Intraclass Correlation. 82-89
Volume 39, Number 6, November - December 2024
- San Murugesan:
To Thrive in the Artificial Intelligence Age, Stay Professionally Fit - Forever. 5-9 - Deepa Tilwani, Revathy Venkataramanan, Amit P. Sheth:
Neurosymbolic AI Approach to Attribution in Large Language Models. 10-17 - Boyuan Zheng, Jianlong Zhou, Chunjie Liu, Yiqiao Li, Fang Chen:
Explaining Imitation Learning Through Frames. 18-27 - Fei Hu, Wuneng Zhou, Kaili Liao, Hongliang Li, Dongbing Tong:
Regulated Federated Learning Against the Effects of Heterogeneity and Client Attacks. 28-39 - Samuele Poppi, Sara Sarto, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Multiclass Unlearning for Image Classification via Weight Filtering. 40-47 - Zhenyu Wen, Yuheng Ye, Jie Su, Taotao Li, Jinhao Wan, Shilian Zheng, Zhen Hong, Shibo He, Haoran Duan, Yuexiang Li, Yawen Huang, Yefeng Zheng:
Unraveling Complexity: An Exploration Into Large-Scale Multimodal Signal Processing. 48-57 - Trong-Nghia Nguyen, Soo-Hyung Kim, Bo-Gun Kho, Hyung-Jeong Yang:
Multigradient Siamese Temporal Model for the Prediction of Clinical Events in Rapid Response Systems. 58-69 - Jiongzhi Lin, Baitao Huang, Fei Zhou:
Artificial Intelligence-Based Video Saliency Prediction: Challenges and Trends. 86-90 - Mohammad Nadeem, Laeeba Javed, Shahab Saquib Sohail, Erik Cambria, Amir Hussain:
Are Foundation Models the Next-Generation Social Media Content Moderators? 70-80 - Federico Giannini, Giacomo Ziffer, Andrea Cossu, Vincenzo Lomonaco:
Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments. 81-85
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