OOIR: Observatory of International Research

Papers

(The median citation count of ACM Transactions on Autonomous and Adaptive Systems is 0. 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.)

Article	Citations
EPAuto: Efficient Privacy-Preserving Machine Learning on AI-powered Autonomous Driving Systems using Multi-Party Computation	27
DSADA: Detecting Spoofing Attacks in Driver Assistance Systems Using Objects’ Spatial Shapes	18
A Genetic Programming-based Framework for Semi-automated Multi-agent Systems Engineering	13
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems	10
Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments	10
Multi-Agent Reinforcement Learning based Edge Content Caching for Connected Autonomous Vehicles in IoV	8
OptimML: Joint Control of Inference Latency and Server Power Consumption for ML Performance Optimization	7
Decision Making for Self-Adaptation Based on Partially Observable Satisfaction of Non-Functional Requirements	7
Context-Aware Proactive Self-Adaptation: A Two-layer Model Predictive Control Approach	6
Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources	6
Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems Using Lifelong Self-Adaptation	5
Dynamic Evaluation of Microservice Granularity Adaptation	5
Loosening Control—A Hybrid Approach to Controlling Heterogeneous Swarms	4
Vehicle Dynamics and Interaction for Trajectory Prediction and Traffic Control	4
Anunnaki: A Modular Framework for Developing Trusted Artificial Intelligence	3
Self-adapting Machine Learning-based Systems via a Probabilistic Model Checking Framework	3
Introduction to ACSOS 2022 Special Issue	3
Faster MIL-based Subgoal Identification for Reinforcement Learning by Tuning Fewer Hyperparameters	3
An Extended Study of the Performance of Flexible Controllers Composed of Micro-controllers	3
VoI-based Situation-Aware Routing Protocol for Non-linear Underwater Communication Networks	3
IBAQ: Frequency-Domain Backdoor Attack Threatening Autonomous Driving via Quadratic Phase	3
Efficient Model Verification at Runtime through Adaptive Dynamic Approximation	2
A Hierarchical Model for Complex Adaptive System: From Adaptive Agent to AI Society	2
ACM Transactions on Autonomous and Adaptive Systems (ACM TAAS): Editorial Welcome and Update on State of the Journal, Vision and Ongoing Developments	2
Credible Negotiation for Multi-agent Reinforcement Learning in Long-term Coordination	2

Combining Personalized Federated Hypernetworks and Shared Residual Learning for Distributed QoS Prediction	2
Introduction to the SEAMS 2023 Special Issue	2
Dynamic System Diversification for Securing Cloud-based IoT Subnetworks	2
Deceiving LLM through Compositional Instruction with Hidden Attacks	1
Modeling and Analysis of Explanation for Secure Industrial Control Systems	1
MonoFG: Monocular 3D Object Detection with Knowledge Distillation for Human-Centric Autonomous Driving Systems	1
An Evaluation of Self-Adaptive Mechanisms for Misconfigurations in Small Uncrewed Aerial Systems	1
Foreword: ACSOS 2021 Special Issue	1
Systematic Scalability Modeling of QoS-aware Dynamic Service Composition	1
A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems	1
HAMLET: A Hierarchical Agent-based Machine Learning Platform	1
Self-aware Optimization of Adaptation Planning Strategies	0
An Autonomous System for Efficient Control of PTZ Cameras	0
A Consortium Blockchain-Based Edge Task Offloading Method for Connected Autonomous Vehicles	0
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems	0
Adaptive Industrial Control Systems via IEC 61499 and Runtime Enforcement	0
ACORN+: Adaptive Compression-Reconstruction for Device-Cloud Collaboration Video Services	0
A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How?	0
Predicting Nonfunctional Requirement Violations in Autonomous Systems	0
An Architectural Viewpoint for Benefit-Cost-Risk-Aware Decision-Making in Self-Adaptive Systems	0
Human–machine Teaming with Small Unmanned Aerial Systems in a MAPE-K Environment	0
GLDAP: Global Dynamic Action Persistence Adaptation for Deep Reinforcement Learning	0
Piecewise Weighting Function for Collaborative Filtering Recommendation	0
Adaptive Scheduling of High-Availability Drone Swarms for Congestion Alleviation in Connected Automated Vehicles	0
FedGPL: Gradient Priority-based Federated Learning Enhancement for In-Vehicle Language Models	0
Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap	0
Foreword: SEAMS 2022 Special Issue	0
GSFL: A Privacy-preserving Grouping-Split Federated Learning Approach in Resource-constrained Edge Computing Scenarios	0
SEPPDL: A Secure and Efficient Privacy-Preserving Deep Learning Inference Framework for Autonomous Driving	0
Improving Causal Learning Scalability and Performance using Aggregates and Interventions	0
A Framework for Simultaneous Task Allocation and Planning under Uncertainty	0
Modeling and Controlling Many-Core HPC Processors: an Alternative to PID and Moving Average Algorithms	0
EdgeMart : A Sustainable Networked OTT Economy on the Wireless Edge for Saving Multimedia IP Bandwidth	0
Self-Governing Hybrid Societies and Deception	0
Risk-aware Collection Strategies for Multirobot Foraging in Hazardous Environments	0
LyDRL: Lyapunov-guided Deep Reinforcement Learning for Stable Task offloading in Connected Autonomous Vehicles	0
On Understanding Context Modelling for Adaptive Authentication Systems	0
Modeling, Replicating, and Predicting Human Behavior: A Survey	0
Distributed Size-constrained Clustering Algorithm for Modular Robot-based Programmable Matter	0
Enforcing Resilience in Cyber-physical Systems via Equilibrium Verification at Runtime	0
StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications	0
Assured Mission Adaptation of UAVs	0
Self-Adaptive Testing in the Field	0
Calibration-Free Feedforward Temperature Compensation for Wireless Clock Synchronisation	0
Optimizing Delegation in Collaborative Human-AI Hybrid Teams	0
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models	0
Self-Supervised Machine Learning Framework for Online Container Security Attack Detection	0
Model-driven Cluster Resource Management for AI Workloads in Edge Clouds	0
Self-Adaptation in Industry: A Survey	0
Adaptation in Edge Computing: A Review on Design Principles and Research Challenges	0

Using Genetic Programming to Build Self-Adaptivity into Software-Defined Networks	0
Formally Verified Scalable Look Ahead Planning For Cloud Resource Management	0
Many-Objective Self-adaptation under Model Uncertainty	0
Satellite Edge Computing for Mobile Multimedia Communications: A Multi-agent Federated Reinforcement Learning Approach	0
A Collective Adaptive Approach to Decentralised k-Coverage in Multi-robot Systems	0
Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles	0
Prosocial Norm Emergence in Multi-agent Systems	0
Dynamically Balancing Load with Overload Control for Microservices	0
Web 3.0-Enabled Microservice Re-Scheduling for Heterogenous Resources Co-Optimization in Metaverse-Integrated Edge Networks	0
NEPTUNE : A Comprehensive Framework for Managing Serverless Functions at the Edge	0
Applying Trust for Operational States of ICT-Enabled Power Grid Services	0
Using Randomization in Self-organized Synchronization for Wireless Networks	0
FASDSA: A Flexible Adaptive and Secure Data Sharing Architecture	0