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 2021-08-01 to 2025-08-01.)

Article	Citations
Adaptive Preferences: Pivoting Through User Complaints	34
Automate Legibility through Inverse Reinforcement Learning	21
VoI-based Situation-Aware Routing Protocol for Non-linear Underwater Communication Networks	17
DSADA: Detecting Spoofing Attacks in Driver Assistance Systems Using Objects’ Spatial Shapes	17
Deceiving LLM through Compositional Instruction with Hidden Attacks	16
A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How?	12
Assured Mission Adaptation of UAVs	11
Modeling, Replicating, and Predicting Human Behavior: A Survey	11
Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles	10
Piecewise Weighting Function for Collaborative Filtering Recommendation	9
Self-Adaptive Testing in the Field	9
Model Checking of Workflow Nets with Tables and Constraints	7
A Framework for Simultaneous Task Allocation and Planning under Uncertainty	6
Human–machine Teaming with Small Unmanned Aerial Systems in a MAPE-K Environment	6
Formally Verified Scalable Look Ahead Planning For Cloud Resource Management	6
Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources	5
A Genetic Programming-based Framework for Semi-automated Multi-agent Systems Engineering	5
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems	5
A Hierarchical Model for Complex Adaptive System: From Adaptive Agent to AI Society	4
Introduction to ACSOS 2022 Special Issue	4
EPAuto: Efficient Privacy-Preserving Machine Learning on AI-powered Autonomous Driving Systems using Multi-Party Computation	4
Combining Personalized Federated Hypernetworks and Shared Residual Learning for Distributed QoS Prediction	4
Context-Aware Proactive Self-Adaptation: A Two-layer Model Predictive Control Approach	4
Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments	3
StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications	3

ACM Transactions on Autonomous and Adaptive Systems (ACM TAAS): Editorial Welcome and Update on State of the Journal, Vision and Ongoing Developments	3
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems	3
Prosocial Norm Emergence in Multi-agent Systems	3
Multi-Agent Reinforcement Learning based Edge Content Caching for Connected Autonomous Vehicles in IoV	3
Adaptive Industrial Control Systems via IEC 61499 and Runtime Enforcement	3
LyDRL: Lyapunov-guided Deep Reinforcement Learning for Stable Task offloading in Connected Autonomous Vehicles	3
Self-Supervised Machine Learning Framework for Online Container Security Attack Detection	2
MonoFG: Monocular 3D Object Detection with Knowledge Distillation for Human-Centric Autonomous Driving Systems	2
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models	2
The Comp-TSSs Scheme for Anomaly Detection in AI-Powered Autonomous Driving	2
Calibration-Free Feedforward Temperature Compensation for Wireless Clock Synchronisation	2
SEPPDL: A Secure and Efficient Privacy-Preserving Deep Learning Inference Framework for Autonomous Driving	1
A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments	1
An Extended Study of the Performance of Flexible Controllers Composed of Micro-controllers	1
Self-adapting Machine Learning-based Systems via a Probabilistic Model Checking Framework	1
Self-Adaptation in Industry: A Survey	1
Joint Optimization of Task Offloading Content Caching and Resource Allocation in Vehicular Edge Computing	1
Decision Making for Self-Adaptation Based on Partially Observable Satisfaction of Non-Functional Requirements	1
Dynamic System Diversification for Securing Cloud-based IoT Subnetworks	1
Efficient Self-Adaptation through Explanation-Driven White-Box Optimization	1
Predicting Nonfunctional Requirement Violations in Autonomous Systems	1
Edge-Adaptive Dynamic Scalable Convolution for Efficient Remote Mobile Pathology Analysis	1
Adaptive Scheduling of High-Availability Drone Swarms for Congestion Alleviation in Connected Automated Vehicles	1
Faster MIL-based Subgoal Identification for Reinforcement Learning by Tuning Fewer Hyperparameters	1
Scaling Approaches for Serverless Data Pipelines in Edge and Fog Computing Environments: A Performance Evaluation	1
Using Genetic Programming to Build Self-Adaptivity into Software-Defined Networks	0
Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap	0
An Architectural Viewpoint for Benefit-Cost-Risk-Aware Decision-Making in Self-Adaptive Systems	0
An Evaluation of Self-Adaptive Mechanisms for Misconfigurations in Small Uncrewed Aerial Systems	0
IBAQ: Frequency-Domain Backdoor Attack Threatening Autonomous Driving via Quadratic Phase	0
Systematic Scalability Modeling of QoS-aware Dynamic Service Composition	0
A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems	0
A Consortium Blockchain-Based Edge Task Offloading Method for Connected Autonomous Vehicles	0
Distributed Size-constrained Clustering Algorithm for Modular Robot-based Programmable Matter	0
Parley +: Uncertainty Reduction in Self-Adaptive Systems	0
Foreword: SEAMS 2022 Special Issue	0
GLDAP: Global Dynamic Action Persistence Adaptation for Deep Reinforcement Learning	0
An Imitative Reinforcement Learning Framework for Pursuit-Lock-Launch Missions	0
Foreword: ACSOS 2021 Special Issue	0
Efficient Model Verification at Runtime through Adaptive Dynamic Approximation	0
EdgeMart : A Sustainable Networked OTT Economy on the Wireless Edge for Saving Multimedia IP Bandwidth	0
SPECTRA: A Markovian Framework for Managing NFR Tradeoffs in Systems with Mixed Observability	0
On Understanding Context Modelling for Adaptive Authentication Systems	0
Web 3.0-Enabled Microservice Re-Scheduling for Heterogenous Resources Co-Optimization in Metaverse-Integrated Edge Networks	0
Graph Unlearning System with Subgraph De-Isolation Measures	0
GSFL: A Privacy-preserving Grouping-Split Federated Learning Approach in Resource-constrained Edge Computing Scenarios	0
NEPTUNE : A Comprehensive Framework for Managing Serverless Functions at the Edge	0
Modeling and Analysis of Explanation for Secure Industrial Control Systems	0
Automated Planning for Task-Based Cyber-Physical Systems under Multiple Sources of Uncertainty	0
Evaluate Inference Attacks: Attack and Defense against 2D Semantic Segmentation Models	0

Tail-Learning: Adaptive Learning Method for Mitigating Tail Latency in Autonomous Edge Systems	0
ACORN+: Adaptive Compression-Reconstruction for Device-Cloud Collaboration Video Services	0
A Collective Adaptive Approach to Decentralised k-Coverage in Multi-robot Systems	0
Applying Trust for Operational States of ICT-Enabled Power Grid Services	0
Enforcing Resilience in Cyber-physical Systems via Equilibrium Verification at Runtime	0
Model-driven Cluster Resource Management for AI Workloads in Edge Clouds	0
Introduction to the SEAMS 2023 Special Issue	0
Anunnaki: A Modular Framework for Developing Trusted Artificial Intelligence	0
Many-objective Self-adaptation under Model Uncertainty	0
Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems Using Lifelong Self-Adaptation	0
Risk-aware Collection Strategies for Multirobot Foraging in Hazardous Environments	0
Dynamically Balancing Load with Overload Control for Microservices	0
Optimizing Delegation in Collaborative Human-AI Hybrid Teams	0
DeFeed: Secure Decentralized Cross-Contract Data Feed in Web 3.0 for Connected Autonomous Vehicles	0
HAMLET: A Hierarchical Agent-based Machine Learning Platform	0
Improving Causal Learning Scalability and Performance using Aggregates and Interventions	0
Modeling and Controlling Many-Core HPC Processors: an Alternative to PID and Moving Average Algorithms	0
Vehicle Dynamics and Interaction for Trajectory Prediction and Traffic Control	0
FedGPL: Gradient Priority-based Federated Learning Enhancement for In-Vehicle Language Models	0
QSTMF: Quantum-Secured Trust Management Framework for VANETs in Web 3.0 and Metaverse	0
Self-Governing Hybrid Societies and Deception	0
Satellite Edge Computing for Mobile Multimedia Communications: A Multi-agent Federated Reinforcement Learning Approach	0
Using Randomization in Self-organized Synchronization for Wireless Networks	0
TT-DSC: Enhancing YOLO for Marine Ecosystem through Efficient Tensor Train-based Depthwise Separable Deep Neural Network	0
Credible Negotiation for Multi-agent Reinforcement Learning in Long-term Coordination	0
OptimML: Joint Control of Inference Latency and Server Power Consumption for ML Performance Optimization	0
FASDSA: A Flexible Adaptive and Secure Data Sharing Architecture	0
Self-aware Optimization of Adaptation Planning Strategies	0
Adaptation in Edge Computing: A Review on Design Principles and Research Challenges	0