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ORCIDIEEE Transactions on Artificial Intelligence, Volume 6
Volume 6, Number 1, January 2025
- Pranjala G. Kolapwar
, Uday V. Kulkarni, Jaishri M. Waghmare:
Sector-Based Pairs Trading Strategy With Novel Pair Selection Technique. 3-13 - Raghvendra Kumar, Bhargav Goddu, Sriparna Saha, Adam Jatowt:
Silver Lining in the Fake News Cloud: Can Large Language Models Help Detect Misinformation? 14-24 - Wen Ou, Biao Luo, Xiaodong Xu, Yu Feng, Yuqian Zhao:
Reinforcement Learned Multiagent Cooperative Navigation in Hybrid Environment With Relational Graph Learning. 25-36 - Amandeep Kaur:
Intrusion Detection Approach for Industrial Internet of Things Traffic Using Deep Recurrent Reinforcement Learning Assisted Federated Learning. 37-50 - Dan-Xuan Liu, Yu-Ran Gu, Chao Qian, Xin Mu, Ke Tang:
Migrant Resettlement by Evolutionary Multiobjective Optimization. 51-65 - Siwen Liu, Yi Zuo, Tieshan Li, Huanqing Wang, Xiaoyang Gao, Yang Xiao:
Adaptive Composite Fixed-Time RL-Optimized Control for Nonlinear Systems and Its Application to Intelligent Ship Autopilot. 66-78 - Wenxuan Fang, Wei Du, Guo Yu, Renchu He, Yang Tang, Yaochu Jin:
Preference Prediction-Based Evolutionary Multiobjective Optimization for Gasoline Blending Scheduling. 79-92 - Najeeb Ullah, Muhammad Naveed Aman, Biplab Sikdar:
meMIA: Multilevel Ensemble Membership Inference Attack. 93-106 - Preity, Ashish Kumar Bhandari, Akanksha Jha, Syed Shahnawazuddin:
RD-Net: Residual-Dense Network for Glaucoma Prediction Using Structural Features of Optic Nerve Head. 107-117 - Yifan Hu, Junjie Fu, Guanghui Wen, Changyin Sun:
Policy Consensus-Based Distributed Deterministic Multi-Agent Reinforcement Learning Over Directed Graphs. 118-131 - Jiahang Cao, Hanzhong Guo, Ziqing Wang, Deming Zhou, Hao Cheng, Qiang Zhang, Renjing Xu:
Spiking Diffusion Models. 132-143 - Dengyong Zhang, Ruiyi He, Xin Liao, Feng Li, Jiaxin Chen, Gaobo Yang:
Face Forgery Detection Based on Fine-Grained Clues and Noise Inconsistency. 144-158 - Leena Heistrene, Juri Belikov, Dmitry Baimel, Liran Katzir, Ram Machlev, Kfir Levy, Shie Mannor, Yoash Levron:
An Improved and Explainable Electricity Price Forecasting Model via SHAP-Based Error Compensation Approach. 159-168 - Fangfang Zhang, Gaofeng Shi, Yi Mei, Mengjie Zhang:
Multiobjective Dynamic Flexible Job Shop Scheduling With Biased Objectives via Multitask Genetic Programming. 169-183 - Yuhang Zhang, Chao Yan, Jiaping Xiao, Mir Feroskhan:
NPE-DRL: Enhancing Perception Constrained Obstacle Avoidance With Nonexpert Policy Guided Reinforcement Learning. 184-198 - Shen Wan, Junye Jiang, Minghan Li, Shuanglong Liu:
Efficient CORDIC-Based Activation Functions for RNN Acceleration on FPGAs. 199-210 - Jingkai Ma, Shuang Bai, Wenchao Pan:
Boosting Few-Shot Semantic Segmentation With Prior-Driven Edge Feature Enhancement Network. 211-220 - Yang Yang, Chao Wang, Lei Gong, Min Wu, Zhenghua Chen, Xiang Li, Xianglan Chen, Xuehai Zhou:
Knowledge Probabilization in Ensemble Distillation: Improving Accuracy and Uncertainty Quantification for Object Detectors. 221-233 - Xiaojing Zhang, Shuangrong Liu, Lin Wang, Bo Yang, Jiawei Fan:
Learning Neural Network Classifiers by Distributing Nearest Neighbors on Adaptive Hypersphere. 234-249
Volume 6, Number 2, February 2025
- Qinghua Lu, Apostol Vassilev, Jun Zhu, Foutse Khomh:
Guest Editorial: Operationalizing Responsible AI. 252-253 - Muhammad Azeem Akbar, Arif Ali Khan, Peng Liang:
Ethical Aspects of ChatGPT in Software Engineering Research. 254-267 - Haoyun Sun, Hongwei Zhao, Liang Xu, Weishan Zhang, Hongqing Guan, Su Yang:
FedDGA: Federated Multitask Learning Based on Dynamic Guided Attention. 268-280 - Jessica Liu, Huaming Chen, Jun Shen, Kim-Kwang Raymond Choo:
FairCompass: Operationalizing Fairness in Machine Learning. 281-291 - Ming-Wen Shao, Jian-Xin Yang, Lingzhuang Meng, Zhiyong Hu:
Frequency Attacks Based on Invertible Neural Networks. 292-300 - Leiming Chen, Dehai Zhao, Liping Tao, Kai Wang, Sibo Qiao, Xingjie Zeng, Chee Wei Tan:
A Credible and Fair Federated Learning Framework Based on Blockchain. 301-316 - Guangrui Liu, Weizhe Zhang, Xurun Wang, Stephen King, Shui Yu:
A Membership Inference and Adversarial Attack Defense Framework for Network Traffic Classifiers. 317-332 - Bosen Rao, Jiale Zhang, Di Wu, Chengcheng Zhu, Xiaobing Sun, Bing Chen:
Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey. 333-353 - Zhiyu Zhu, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Huaming Chen, Kim-Kwang Raymond Choo:
Rethinking Transferable Adversarial Attacks With Double Adversarial Neuron Attribution. 354-364 - Yuhao Hu, Xiaolong Xu, Lianyong Qi, Xiaokang Zhou, Xiaoyu Xia:
Latency- and Privacy-Aware Convolutional Neural Network Distributed Inference for Reliable Artificial Intelligence Systems. 365-377 - Mengyan Wang, Yuxuan Hu, Shiqing Wu, Weihua Li, Quan Bai, Zihan Yuan, Chenting Jiang:
Nudging Toward Responsible Recommendations: A Graph-Based Approach to Mitigate Belief Filter Bubbles. 378-392 - Wenmin Lin, Xinyi Zhou, Lu Sun, Lianyong Qi, Sang-Bing Tsai, Yihong Yang, Hanwen Liu, Huaizhen Kou, Lingzhen Kong:
A Locality-Sensitive-Hashing-Based Collaborative Recommendation Method for Responsible AI-Driven Recommender Systems. 393-404 - Zinuo Cai, Rongbo Ma, Yicheng Fu, Weishan Zhang, Ruhui Ma, Haibing Guan:
LLMaaS: Serving Large-Language Models on Trusted Serverless Computing Platforms. 405-415 - Maria Teresa Baldassarre, Danilo Caivano, Berenice Fernández Nieto, Domenico Gigante, Azzurra Ragone:
Fostering Human Rights in Responsible AI: A Systematic Review for Best Practices in Industry. 416-431 - Hassan Eldeeb, Radwa Elshawi:
Empowering Machine Learning With Scalable Feature Engineering and Interpretable AutoML. 432-447 - Jing Yang, Chengxuan Huang, Xiangli Yang, Laurence T. Yang, Yuan Gao, Cong Liu:
Temporal Knowledge Extrapolation Based on Fine-Grained Tensor Graph Attention Network for Responsible AI. 448-457 - Soveatin Kuntur, Anna Wróblewska, Marcin Paprzycki, Maria Ganzha:
Under the Influence: A Survey of Large Language Models in Fake News Detection. 458-476 - Teresa Scantamburlo, Atia Cortés, Francesca Foffano, Cristian Barrué, Veronica Distefano, Long Pham, Alessandro Fabris:
Artificial Intelligence Across Europe: A Study on Awareness, Attitude and Trust. 477-490
Volume 6, Number 3, March 2025
- Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Brian M. Sadler, Alec Koppel:
Regret and Belief Complexity Tradeoff in Gaussian Process Bandits via Information Thresholding. 508-517 - Ye Tian, Luke Ji, Yiwei Hu, Haiping Ma, Le Wu, Xingyi Zhang:
An Evolutionary Multitasking Algorithm for Efficient Multiobjective Recommendations. 518-532 - Siqi Le, Yingxu Lai, Yipeng Wang, Huijie He:
Deep-Learning-Based Uncertainty-Estimation Approach for Unknown Traffic Identification. 533-548 - Ahmad Alomari, Sathish A. P. Kumar:
ReLAQA: Reinforcement Learning-Based Autonomous Quantum Agent for Quantum Applications. 549-558 - Lingbai Kong, Hanchen Yang, Wengen Li, Yichao Zhang, Jihong Guan, Shuigeng Zhou:
Traffexplainer: A Framework Toward GNN-Based Interpretable Traffic Prediction. 559-573 - Sean A. Mochocki, Mark G. Reith, Brett J. Borghetti, Gilbert L. Peterson, John D. Jasper, Laurence D. Merkle:
Personalized Learning Path Problem Variations: Computational Complexity and AI Approaches. 574-588 - Jian-Qiang Qiu, Chun-Yang Zhang, C. L. Philip Chen:
Prompt Learning for Few-Shot Question Answering via Self-Context Data Augmentation. 589-603 - Anushikha Singh, Rukhshanda Hussain, Rajarshi Bhattacharya, Brejesh Lall, Bijaya K. Panigrahi, Anjali Agrawal, Anurag Agrawal, Balamugesh Thangakunam, D. J. Christopher:
MDA-GAN: Multiscale and Dual Attention Generative Adversarial Network for Bone Suppression in Chest X-Rays. 604-613 - Xu Xu, Junxin Chen, Wenrui Lv, Wei Wang, Yushu Zhang:
Image Tampering Detection With Frequency-Aware Attention and Multiview Fusion. 614-625 - Mehvish Nissar, Badri Narayan Subudhi, Amit Kumar Mishra, Vinit Jakhetiya:
NICASU: Neurotransmitter Inspired Cognitive AI Architecture for Surveillance Underwater. 626-638 - Kai Liu, Kang You, Pan Gao, Manoranjan Paul:
Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds. 639-650 - Syed Nisar Hussain Bukhari, Kingsley A. Ogudo:
Neural Network-Based Ensemble Learning Model to Identify Antigenic Fragments of SARS-CoV-2. 651-660 - Harshit Tiwari, Prashant Kumar, Ramakant Prasad, Kamlesh Kumar Saha, Anurag Singh, Hocine Cherifi, Rajni:
Bridging the Climate Gap: Multimodel Framework With Explainable Decision-Making for IOD and ENSO Forecasting. 661-675 - Zhi Liu, Hanlin Zhou, Xiaohua He, Haopeng Yuan, Jiaxin Du, Mengmeng Wang, Guojiang Shen, Xiangjie Kong, Feng Xia:
Model-Heterogeneous Federated Graph Learning With Prototype Propagation. 676-689 - Tianyu Xie, Yue Sun, Hongxu Yang, Shuo Li, Jinhong Song, Qimin Yang, Hao Chen, Mingxiang Wu, Tao Tan:
Semisupervised Breast MRI Density Segmentation Integrating Fine and Rough Annotations. 690-699 - P. S. Arun, Bibin Francis, Varun P. Gopi:
NL-CoWNet: A Deep Convolutional Encoder-Decoder Architecture for OCT Speckle Elimination Using Nonlocal and Subband Modulated DT-CWT Blocks. 700-709 - Prachi Dalvi, Dhananjay R. Kalbande, Surendra Singh Rathod, Harshal Dalvi, Amey Agarwal:
Multiattribute Deep CNN-Based Approach for Detecting Medicinal Plants and Their Use for Skin Diseases. 710-724 - Nannan Lu, Tong Yan, Song Zhu, Jiansheng Qian, Min Han:
Deep Feature Unsupervised Domain Adaptation for Time-Series Classification. 725-737 - Yecheng Lyu, Xinkai Zhang, Feng Tao:
Enhanced LiDAR-Based Localization via Multiresolution Iterative Closest Point Algorithms and Feature Extraction. 738-746 - Xin Ning, Limin Jiang, Weijun Li, Zaiyang Yu, Jinlong Xie, Lusi Li, Prayag Tiwari, Fernando Alonso-Fernandez:
Swin-MGNet: Swin Transformer Based Multiview Grouping Network for 3-D Object Recognition. 747-758 - Xiangnan Zhong, Zhen Ni:
A Two-Level Neural-RL-Based Approach for Hierarchical Multiplayer Systems Under Mismatched Uncertainties. 759-772 - Jia Liu, Jiapeng Liu, Qing-Guo Wang, Jinpeng Yu:
Adaptive Neural Network Finite-Time Event Triggered Intelligent Control for Stochastic Nonlinear Systems With Time-Varying Constraints. 773-779 - Jiaqi Liu, Peng Hang, Xiaocong Zhao, Jianqiang Wang, Jian Sun:
DDM-Lag: A Diffusion-Based Decision-Making Model for Autonomous Vehicles With Lagrangian Safety Enhancement. 780-791 - Qizhang Feng, Mengnan Du, Na Zou, Xia Ben Hu:
Fair Machine Learning in Healthcare: A Survey. 493-507
Volume 6, Number 4, April 2025
- Maria Movin, Federico Siciliano, Rui Ferreira, Fabrizio Silvestri, Gabriele Tolomei:
Consistent Counterfactual Explanations via Anomaly Control and Data Coherence. 794-804 - Yuchong Yao, Nandakishor Desai, Marimuthu Palaniswami:
Adversarial Masked Autoencoders Are Robust Vision Learners. 805-815 - Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao:
Generation With Nuanced Changes: Continuous Image-to-Image Translation With Adversarial Preferences. 816-828 - Zhi Zheng, Shangding Gu:
Safe Multiagent Reinforcement Learning With Bilevel Optimization in Autonomous Driving. 829-842 - Ankita Chatterjee, Jayanta Mukherjee, Partha Pratim Das:
Analyzing Hierarchical Relationships and Quality of Embedding in Latent Space. 843-858 - Xiaoxu Han, Xin Mu, Jinghui Zhong:
HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks. 859-873 - Jiacheng Yang, Yuanda Wang, Lu Dong, Lei Xue, Changyin Sun:
Active Robust Adversarial Reinforcement Learning Under Temporally Coupled Perturbations. 874-884 - Subhodip Panda, A. P. Prathosh:
FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models. 885-895 - Le-yang Gao, Rui Wang, Zhao-hong Jia, Chuang Liu:
Multiobjective Optimization for Traveling Salesman Problem: A Deep Reinforcement Learning Algorithm via Transfer Learning. 896-908 - Zunjin Zhao, Daming Shi:
LoRaDIP: Low-Rank Adaptation With Deep Image Prior for Generative Low-Light Image Enhancement. 909-920 - Zihang Zhang, Yuling Liu, Zhili Zhou, Gaobo Yang, Xin Liao, Q. M. Jonathan Wu:
DGeC: Dynamically and Globally Enhanced Convolution. 921-933 - Jiale Li, Aiping Liu, Wei Wei, Ruobing Qian, Xun Chen:
CH-Net: A Cross Hybrid Network for Medical Image Segmentation. 934-944 - Wenxing Liao, Zhuxian Liu, Minghuang Shen, Riqing Chen, Xiaolong Liu:
APR-Net: Defense Against Adversarial Examples Based on Universal Adversarial Perturbation Removal Network. 945-954 - Gaurav R. Hirani, Kevin I-Kai Wang, Waleed H. Abdulla:
A Scalable Unsupervised and Back Propagation Free Learning With SACSOM: A Novel Approach to SOM-Based Architectures. 955-967 - Soumi Das, Manasvi Sagarkar, Suparna Bhattacharya, Sourangshu Bhattacharya:
CheckSelect: Online Checkpoint Selection for Flexible, Accurate, Robust, and Efficient Data Valuation. 968-978 - Zhiqiang Ge:
Industrial Process Monitoring Based on Deep Gaussian and Non-Gaussian Information Fusion Framework. 979-988 - Dandan Li, Jiaxing Xia, Jiangfeng Li, Changjiang Xiao, Vladimir Stankovic, Lina Stankovic, Qingjiang Shi:
A Temporal-Spatial Graph Network With a Learnable Adjacency Matrix for Appliance-Level Electricity Consumption Prediction. 989-1002 - Yanyan Ni, Zhen Wang, Xia Huang, Hao Shen:
Data-Driven Event-Triggered Control for Discrete-Time Neural Networks Subject to Actuator Saturation. 1003-1013 - Yuxin Jiang, Song Zhu, Mouquan Shen, Shiping Wen, Chaoxu Mu:
Aperiodically Intermittent Control Approach to Finite-Time Synchronization of Delayed Inertial Memristive Neural Networks. 1014-1023 - Yuhao Qing, Yueying Wang, Huaicheng Yan, Xiangpeng Xie, Zhengguang Wu:
Unformer: A Transformer-Based Approach for Adaptive Multiscale Feature Aggregation in Underwater Image Enhancement. 1024-1037 - Yifan Xu, Pourya Shamsolmoali, Masoumeh Zareapoor, Jie Yang:
ClusVPR: Efficient Visual Place Recognition With Clustering-Based Weighted Transformer. 1038-1049
Volume 6, Number 5, May 2025
- Leonidas Boutsikaris, Spyros E. Polykalas:
A Comparative Review of Deep Learning Techniques on the Classification of Irony and Sarcasm in Text. 1052-1066 - Raphael Ronge, Bernhard Bauer, Benjamin Rathgeber:
Approaching Principles of XAI: A Systematization. 1067-1079 - Weijian Mai, Jian Zhang, Pengfei Fang, Zhijun Zhang:
Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy. 1080-1099 - Yaganteeswarudu Akkem, Saroj Kumar Biswas:
Analysis of An Intellectual Mechanism of a Novel Crop Recommendation System Using Improved Heuristic Algorithm-Based Attention and Cascaded Deep Learning Network. 1100-1113 - Kun Jiang, Min Hua, Xu He, Lu Dong, Quan Zhou, Hongming Xu, Changyin Sun:
Improving String Stability in Cooperative Adaptive Cruise Control Through Multiagent Reinforcement Learning With Potential-Driven Motivation. 1114-1127 - Jin Zheng, Qing Gao, Daoyi Dong, Jinhu Lü, Yue Deng:
A Quantum Multimodal Neural Network Model for Sentiment Analysis on Quantum Circuits. 1128-1142 - Chengting Yu, Fengzhao Zhang, Ruizhe Chen, Aili Wang, Zuozhu Liu, Shurun Tan, Er-Ping Li:
Decoupling Dark Knowledge via Block-Wise Logit Distillation for Feature-Level Alignment. 1143-1155 - Wenjie Sun, Chengke Wu, Qinge Xiao, Junjie Jiang, Yuanjun Guo, Ying Bi, Xinyu Wu, Zhile Yang:
CauseTerML: Causal Learning via Term Mining for Assessing Review Discrepancies. 1156-1170 - Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto:
Unsupervised Learning of Unbiased Visual Representations. 1171-1183 - Yongzheng Zhu, Liangrui Ren, Rong Sun, Jun Wang, Guoxian Yu:
Herb-Target Interaction Prediction by Multiinstance Learning. 1184-1193 - Zi-Yu Khoo, Dawen Wu, Jonathan Sze Choong Low, Stéphane Bressan:
Periodic Hamiltonian Neural Networks. 1194-1202 - Changping Li, Bingshu Wang, Jiangbin Zheng, Yongjun Zhang, C. L. Philip Chen:
Unsigned Road Incidents Detection Using Improved RESNET From Driver-View Images. 1203-1216 - Mohammad Alali, Mahdi Imani:
Deep Reinforcement Learning Data Collection for Bayesian Inference of Hidden Markov Models. 1217-1232 - Gurinder Singh, Kapil Rana, Puneet Goyal, Sathish A. P. Kumar:
NVMS-Net: A Novel Constrained Noise-View Multiscale Network for Detecting General Image Processing Based Manipulations. 1233-1247 - Mourad Nachaoui, Fatma Manlaikhaf, Soufiane Lyaqini:
Improved Supervised Machine Learning for Predicting Auto Insurance Purchase Patterns. 1248-1258 - Supparesk Rittikulsittichai, Thitirat Siriborvornratanakul:
An Intelligent Chatbot Assistant for Comprehensive Troubleshooting Guidelines and Knowledge Repository in Printed Circuit Board Production. 1259-1268 - Xiao-Cheng Liao, Xiao-Min Hu, Xiang-Ling Chen, Yi Mei, Ya-Hui Jia, Wei-Neng Chen:
Learning to Communicate Among Agents for Large-Scale Dynamic Path Planning With Genetic Programming Hyperheuristic. 1269-1283 - Linghao Kong, Wenjian Luo, Zipeng Ye, Qi Zhou, Yan Jia:
Multilabel Black-Box Adversarial Attacks Only With Predicted Labels. 1284-1297 - Yunfei Yin, Zheng Yuan, Yu He, Xianjian Bao:
VODACBD: Vehicle Object Detection Based on Adaptive Convolution and Bifurcation Decoupling. 1298-1308 - Weihao Li, Lei Shi, Mengji Shi, Jiangfeng Yue, Boxian Lin, Kaiyu Qin:
Seeking Secure Synchronous Tracking of Networked Agent Systems Subject to Antagonistic Interactions and Denial-of-Service Attacks. 1309-1320 - Hoang Khoi Do, Minh-Duong Nguyen, Nguyen Tien Hoa, Long Tran-Thanh, Nguyen Hoang Tran, Quoc-Viet Pham:
Revisiting LARS for Large Batch Training Generalization of Neural Networks. 1321-1333 - Namita Bajpai, Jiaul H. Paik, Sudeshna Sarkar:
A Stratified Seed Selection Algorithm for $K$-Means Clustering on Big Data. 1334-1344 - Xuemeng Hui, Zhunga Liu, Jiaxiang Liu, Zuowei Zhang, Longfei Wang:
Visual-Semantic Fuzzy Interaction Network for Zero-Shot Learning. 1345-1359 - Shuyue Wang, Zhunga Liu, Zuowei Zhang, Mohammed Bennamoun:
Weakly Correlated Multimodal Domain Adaptation for Pattern Classification. 1360-1372 - Yong Dai, Xiaopeng Hong, Yabin Wang, Zhiheng Ma, Dongmei Jiang, Yaowei Wang:
Prompt Customization for Continual Learning. 1373-1385 - Zhipeng Chen, Xinyi Wang, Ling Shen, Jinshi Liu, Jianjun He, Jilin Zhu, Weihua Gui:
Monocular 3-D Reconstruction of Blast Furnace Burden Surface Based on Cross-Domain Generative Self-Supervised Network. 1386-1400 - Bin Hu, Zhi-Hong Guan, Guanrong Chen, Jürgen Kurths:
Energy-Efficient Hybrid Impulsive Model for Joint Classification and Segmentation on CT Images. 1401-1413 - Gargi V. Pillai, Debashis Sen:
Deep Temporally Recursive Differencing Network for Anomaly Detection in Videos. 1414-1428 - Ming Xu, Tuo Shi, Hao Zhang, Zeyi Liu, Xiao He:
A Hierarchical Cross-Modal Spatial Fusion Network for Multimodal Emotion Recognition. 1429-1438 - Bernhard C. Geiger, Roman Kern:
On the Role of Priors in Bayesian Causal Learning. 1439-1445
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