Journal & Article

Theory & Methods

I/F
# Journal I/F

ACM COMPUTING SURVEYS

Multi-modal Misinformation Detection: Approaches, Challenges and Opportunities. Approaches to Conflict-free Replicated Data Types. MITRE ATT&CK: State of the Art and Way Forward. Co-clustering: A Survey of the Main Methods, Recent Trends, and Open Problems A Practical Tutorial on Explainable AI Techniques Advancements in Federated Learning: Models, Methods, and Privacy Empowering Agrifood System with Artificial Intelligence: A Survey of the Progress, Challenges and Opportunities Alert Prioritisation in Security Operations Centres: A Systematic Survey on Criteria and Methods A Systematic Review of Privacy Policy Literature Graph and Sequential Neural Networks in Session-based Recommendation: A Survey A Survey of Text Watermarking in the Era of Large Language Models Causal representation learning through higher-level information extraction Challenges and Opportunities in Mobile Network Security for Vertical Applications: A Survey A Survey on Video Diffusion Models A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Machine Learning for Actionable Warning Identification: A Comprehensive Survey Spatio-Temporal Predictive Modeling Techniques for Different Domains: a Survey Evolving Paradigms in Automated Program Repair: Taxonomy, Challenges, and Opportunities Image Steganography Approaches and Their Detection Strategies: A Survey Multimodal Recommender Systems: A Survey A Survey of Distributed Graph Algorithms on Massive Graphs A Systematic Review on Graph Neural Network-based Methods for Stock Market Forecasting A Partial Offline Payment System for Connecting the Unconnected Using Internet of Things: A Survey A Survey on Deep Learning for Design and Generation of Virtual Architecture Survey on Quality Assurance of Smart Contracts State of the Art and Potentialities of Graph-level Learning Time-Sensitive Networking (TSN) for Industrial Automation: Current Advances and Future Directions A Survey of Protocol Fuzzing Eco-Friendly Route Planning Algorithms: Taxonomies, Literature Review and Future Directions Digital Food Sensing and Ingredient Analysis Techniques to Facilitate Human-Food Interface Designs Enabling Technologies and Techniques for Floor Identification Adversarial Attacks and Countermeasures on Image Classification-based Deep Learning Models in Autonomous Driving Systems: A Systematic Review Physics-Informed Computer Vision: A Review and Perspectives COVID-19 Modeling: A Review How to Improve Video Analytics with Action Recognition: A Survey Data Mesh: A Systematic Gray Literature Review Competence Awareness for Humans and Machines: A Survey and Future Research Directions from Psychology Survey on Federated Learning for Intrusion Detection System: Concept, Architectures, Aggregation Strategies, Challenges, and Future Directions A Review of Techniques for Ageing Detection and Monitoring on Embedded Systems Vulnerabilities and Security Patches Detection in OSS: A Survey A Survey on Federated Unlearning: Challenges, Methods, and Future Directions A survey of 3D Space Path-Planning Methods and Algorithms Ransomware Reloaded: Re-examining Its Trend, Research and Mitigation in the Era of Data Exfiltration Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures A Review on the Use of Physiological Signals for Assessing Postoperative Pain A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness Presentation Attack Detection: A Systematic Literature Review A Systematic Literature Review on the Influence of Enhanced Developer Experience on Developers' Productivity: Factors, Practices, and Recommendations An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques Multi-Class Imbalanced Data Handling with Concept Drift in Fog Computing: A Taxonomy, Review, and Future Directions