ACM Transactions on Autonomous and Adaptive Systems

Papers
(The TQCC of ACM Transactions on Autonomous and Adaptive Systems is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
EPAuto: Efficient Privacy-Preserving Machine Learning on AI-powered Autonomous Driving Systems using Multi-Party Computation27
DSADA: Detecting Spoofing Attacks in Driver Assistance Systems Using Objects’ Spatial Shapes18
A Genetic Programming-based Framework for Semi-automated Multi-agent Systems Engineering13
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems10
Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments10
Multi-Agent Reinforcement Learning based Edge Content Caching for Connected Autonomous Vehicles in IoV8
OptimML: Joint Control of Inference Latency and Server Power Consumption for ML Performance Optimization7
Decision Making for Self-Adaptation Based on Partially Observable Satisfaction of Non-Functional Requirements7
Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources6
Context-Aware Proactive Self-Adaptation: A Two-layer Model Predictive Control Approach6
Dynamic Evaluation of Microservice Granularity Adaptation5
Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems Using Lifelong Self-Adaptation5
Loosening Control—A Hybrid Approach to Controlling Heterogeneous Swarms4
Vehicle Dynamics and Interaction for Trajectory Prediction and Traffic Control4
An Extended Study of the Performance of Flexible Controllers Composed of Micro-controllers3
VoI-based Situation-Aware Routing Protocol for Non-linear Underwater Communication Networks3
IBAQ: Frequency-Domain Backdoor Attack Threatening Autonomous Driving via Quadratic Phase3
Anunnaki: A Modular Framework for Developing Trusted Artificial Intelligence3
Self-adapting Machine Learning-based Systems via a Probabilistic Model Checking Framework3
Introduction to ACSOS 2022 Special Issue3
Faster MIL-based Subgoal Identification for Reinforcement Learning by Tuning Fewer Hyperparameters3
Introduction to the SEAMS 2023 Special Issue2
Dynamic System Diversification for Securing Cloud-based IoT Subnetworks2
Efficient Model Verification at Runtime through Adaptive Dynamic Approximation2
A Hierarchical Model for Complex Adaptive System: From Adaptive Agent to AI Society2
ACM Transactions on Autonomous and Adaptive Systems (ACM TAAS): Editorial Welcome and Update on State of the Journal, Vision and Ongoing Developments2
Credible Negotiation for Multi-agent Reinforcement Learning in Long-term Coordination2
Combining Personalized Federated Hypernetworks and Shared Residual Learning for Distributed QoS Prediction2
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