yusuke1997/dblp-id-title huggingface dataset:
Many-Objective Centralized Adaptation Planning: Towards Hybrid Self-Adaptive and Self-Organizing Systems
Supporting Autonomic Computing via BDI Tooling
Towards Integration of Multi-Agent Planning with Self-Organising Collective Processes
IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2025, Tokyo, Japan, September 29 - Oct. 3, 2025
Detecting and Mitigating Jamming Attacks in IoT Networks Using Self-Adaptation
Learning Distributed Controllers for V-Formation
From Social Robots to Autonomous Surface Vessels' Navigation
A generic and modular reference architecture for self-explainable smart homes
BDI-Dojo: developing robust BDI agents in evolving adversarial environments
FedLAD: A Modular and Adaptive Testbed for Federated Log Anomaly Detection
Augmented Collective Digital Twins for Self-Organising Cyber-Physical Systems
Micro-controllers: Promoting Structurally Flexible Controllers in Self-Aware Computing Systems
An Efficient VM Scheduling Framework for Interactive Streaming Service
Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting
A Distributed Population Management Approach for Mobile Agent Systems
Towards a Comparative Analysis of Policy-Making Distribution in Hierarchical Organisations - the Epidemic Management Case Study
Machine Learning to Predict Risk Management Applications Performance
Interactive Knowledge-Guided Learning
On the Dynamic Evolution of Distributed Computational Aggregates
IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2023, Toronto, ON, Canada, September 25-29, 2023
Sustainability-aware Online Task and Charge Allocation for Autonomous Ground Robot Fleets
Towards Autonomous Food Processing Using Interpretable Digital Twins
Towards Modular Digital Twins of Robot Systems
A Field-Based Approach for Runtime Replanning in Swarm Robotics Missions
FairCIM: Fair Interference Mitigation by DNN Switching for Latency-Sensitive Inference Jobs
Towards an Autonomous, Power-Efficient Base Station for Sensor Data Collection
An Explainable Deep Learning Approach for Adaptation Space Reduction
Orchestrating the Execution of Serverless Functions in Hybrid Clouds
Hierarchical Scaling of Microservices in Kubernetes
Robust Communication Through Collective Adaptive Relay Schemes for Maritime Vessels
Surrogate Models of Self-Organising Systems
Reviving Software Diversity in Microservices to Optimize the Performance of Software Systems
Causal Knowledge Transfer for Multi-Agent Reinforcement Learning in Dynamic Environments
Local Estimation vs Global Information: the Benefits of Slower Timescales
Stochastic Switching of Power Levels can Accelerate Self-Organized Synchronization in Wireless Networks with Interference
Architecture-based Evaluation of Scaling Policies for Cloud Applications
Performance Prediction of Sparse Matrix Multiplication on a Distributed BigData Processing Environment
I'm already optimal: the Dunning-Kruger Effect, Sociogenesis, and Self-Integration
IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2024 - Companion, Aarhus, Denmark, September 16-20, 2024
A Framework for Autonomic Computing for In Situ Imageomics
Open Multi-Scale Self-Explanations for Complex Cyber-Physical Systems
AHA: Adaptive Hadoop in Ad-hoc Cloud Environments
An Energy-Efficient Service Scheduling Algorithm in Federated Edge Cloud
An Adaptive Autonomous Aerial System for Dynamic Field Animal Ecology Studies
Automated Management of Collections of Autonomic Systems
Comprehensible Self-Aware Behavioral Programming
Modeling and Integration for Complex Systems
MeLoN: Distributed Deep Learning meets the Big Data Platform
BLOC: Balancing Load with Overload Control In the Microservices Architecture
Learning Stigmergic Communication for Self-organising Coordination
Reinforcement Learning for Sustainability: Adapting in large-scale heterogeneous dynamic environments
A Cognitive Control System for Managing Runtime Uncertainty in Self-Integrating Autonomic Systems
PRESTO: a latency-aware power-capping orchestrator for cloud-native microservices
Automated Extraction of Security Profile Information from XAI Outcomes
ENSURE: Efficient Scheduling and Autonomous Resource Management in Serverless Environments
Heterogeneous Multi-Source Deep Adaptive Knowledge-Aware Learning for E-Mobility
Towards a Hybrid Architecture for Self-Adaptive and Self-Organizing Systems
Vehicular Network Dynamic Grouping Scheme
How far should I watch? Quantifying the effect of various observational capabilities on long-range situational awareness in multi-robot teams
An Efficient and Parallel Bad Block Checker for Parallelism of Storage Devices
LLM-Guided Reconciliation for Explainable Robotic Path Planning: A Case Study
Reasoning about When to Provide Explanation for Human-involved Self-Adaptive Systems
Steering Towards Maritime Safety with True Motion Predictions Ensemble
Toward Enabling Self-Protection in the Service Mesh of the Microservice Architecture
Normal-Wishart Clustering for Novelty Detection
Towards Adaptive Trajectories for Mixed Autonomous and Human-Operated Ships
Towards a Continuous Assessment of Stability in (Self-)Adaptation Behaviour
Θ-Learning: An Algorithm for the Self-Organisation of Collective Self-Governance
Lightweight Temporal Consistency for Grid-Based Obstacle Detection in Edge Devices
Towards Pulverised Architectures for Collective Adaptive Systems through Multi-Tier Programming
Run-time and Collective Adaptation of Gameful Systems
U sing Clone Detection for Finding Signatures of Malware Families: A Case Study on FinSpy
A Reflective Architecture for LLM-Based Systems
Online ML Self-adaptation in Face of Traps
Understanding Uncertainty in Self-adaptive Systems
FaaSRank: Learning to Schedule Functions in Serverless Platforms
An Aggregate Vascular Morphogenesis Controller for Engineered Self-Organising Spatial Structures
How Much Does it Cost to Adapt a System?
Bitflow: An In Situ Stream Processing Framework
Designing a Methodological Framework for the Empirical Evaluation of Self-Protecting Systems
Parallelising an Aggregate Programming Framework with Message-Passing Interface
Revisiting Artificial Brains
2020 Hindsight: Systems Need to Determine Whether or Not They Did Their Best
IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2020, Washington, DC, USA, August 17-21, 2020
Reducing Onboard Power Consumption in CubeSats via Adaptive Telemetry and Monitoring
Collective Learning: A 10-Year Odyssey to Human-centered Distributed Intelligence
Development and Evaluation of Self-Organizing Models for Applications in Energy Networks
Identifying Adaptation Changes in Collections of Self-Adaptive Systems
Towards Verification of Autonomous Machine Learning Systems On-Board Spacecraft
Is Data Migration Evil in the NVM File System?
Towards Flexible and Integrative Centralized Planning in Self-Adaptive Systems
Runtime Equilibrium Verification for Resilient Cyber-Physical Systems
Toward a Negotiation Framework for Self-Integration
Implementing Attack-aware Security Function Chain Reordering
Evolving Neuromodulated Controllers in Variable Environments
Fairness, Performance, and Robustness: Is There a CAP Theorem for Self-adaptive and Self-organising Systems?
From Bio-Inspired Computing Back to Computing-Inspired Biology
A Self-Adaptive Load Balancing Approach for Software-Defined Networks in IoT
Employing Software Diversity in Cloud Microservices to Engineer Reliable and Performant Systems
Towards Scalable Manycore-Aware Persistent B+- Trees for Efficient Indexing in Cloud Environments
Multi-Objective Deep Reinforcement Learning Optimisation in Autonomous Systems
Using Modern Agent Toolkits with Logical Agents
Characterization of Parallelism Techniques for Decision Tree Ensembles
Meta-Level Scalability Issues in Analysing the Scalability of Self-Organisation
Many Models at the Edge: Scaling Deep Inference via Model-Level Caching
Multi - Level Online Learning and Reasoning for Self-Integrating Systems
Hierarchy Beyond Top-Down Control: The Architecture of Self-Organised Social Systems
Timing configurations affect the macro-properties of multi-scale feedback systems
FedACA: An Adaptive Communication-Efficient Asynchronous Framework for Federated Learning
Cognitive Agents in the Field: A Hybrid Approach Between Agent-Oriented and Aggregate Computation
Self-Adaptive Service Deployment for Resilience of Smart Manufacturing Architectures
Sustainable Self-Organisation of Socio- Techno- Ecological Systems
Towards an Evaluation Framework for Autonomous Systems
Integrating Objective Functions in Self-Modeling Systems
Towards Antifragility in Contested Environments: Using Adversarial Search to Learn, Predict, and Counter Open-Ended Threats
Disjoint Lookups in Kademlia for Random IDs
Specifying Reactive Robotic Applications With Reference Attribute Motion Grammars
Towards Performance Management of Large-Scale Microservices Applications
On Evaluating Self-Adaptive and Self-Healing Systems using Chaos Engineering
A Roadmap for Causality Research in Complex Adaptive Systems
Sunsift: Solar-Powered Intelligent Sensing Through Informative Sample Selection
Swarmalators with Stochastic Coupling and Memory
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks
Rango: An Intuitive Rule Language for Learning Classifier Systems in Cyber-Physical Systems
Demonstration of a Real-world Self-adaptive Robot Path-finding using Discrete Controller Synthesis
The Competence Awareness Window: Knowing what I can and cannot do
Awareness without Neural Networks: Achieving Self-Aware AI via Evolutionary and Adversarial Processes
Multi-Paradigm Integration for the BDI Resurgence
A Logic-based Multiagent Product Configuration Model
Proximity-based Self-Federated Learning
Towards Highly Automated Machine-Learning-Empowered Monitoring of Motor Test Stands
Learn to Sense vs. Sense to Learn: A System Self-Integration Approach
Autonomous State-Management Support in Distributed Self-adaptive Systems
Swarmalators with Discrete-Time Coupling: Which Step Size to Choose?
Opportunistic Meta-Learning: A Case Study for Quality Assurance in Industry 4.0 Environments
Self-Awareness as a Prerequisite for Self-Adaptivity in Computing Systems
Self-Explanation as a Basis for Self-Integration - The Autonomous Passenger Ferry Scenario
Infrastructures for the Edge-Cloud Continuum on a Small Scale: A Practical Case Study
Adding Biologically-Inspired Design Approaches to Engineered Systems
A Modular and Composable Approach to Develop Trusted Artificial Intelligence
Challenges of Big Data and Vehicle Data
Hybrid Planning with Receding Horizon: A Case for Meta-self-awareness
Uncertainty-Driven Monitoring for ML-Based Autonomic Systems
Recovering the Sense of "We"
Self-Organisation Programming: A Functional Reactive Macro Approach
Reconfigurable Embedded Devices Using Reinforcement Learning to Develop Action-Policies
Work With What You've Got: An Approach for Resource-Driven Adaptation
Adaptive Trust-Aware Decentralized Information Flow Control
In-Situ Artificial Intelligence for Self-* Devices: The Elastic AI Ecosystem (Tutorial)
SHIL: Self-Supervised Hybrid Learning for Security Attack Detection in Containerized Applications
Flexible Self-organisation for the Cloud-Edge Continuum: a Macro-programming Approach
Towards Adaptive, Real-Time Monitoring of Food Quality Using Smart Sensors
Decentralized Multi-Drone Coordination for Wildlife Video Acquisition
Towards Interference-Resilient Multi-Tenant Microservices via Spatio-Temporal Models of Self-Configuration
A Swarm-fleet Infrastructure as a Scenario for Proactive, Hybrid Adaptation of System Behaviour
Self-organized Allocation of Dependent Tasks in Industrial Applications
Verification and Uncertainties in Self-integrating System
Causal Inference Techniques for Microservice Performance Diagnosis: Evaluation and Guiding Recommendations
Self-Evaluation can Help Agents Meet Social Expectations
Self-modeling - a practical example of why it's hard
Field-informed Reinforcement Learning of Collective Tasks with Graph Neural Networks
Combining Central Control with Collective Adaptive Systems
Explaining Online Reinforcement Learning Decisions of Self-Adaptive Systems
What Can Collective Construction Learn from Neural Cellular Automata?
Who is the Ringleader? Modelling Influence in Discourse using Doc2Vec
Message from the Program Chairs ACSOS 2023
Evaluating the Effect of User-Given Guiding Attention on the Learning Process
Coevolutionary Learning of Neuromodulated Controllers for Multi-Stage and Gamified Tasks
Applying Security-Awareness to Service-Based Systems
Teaming With Self-Integrating Systems
Principled Transfer Learning for Autonomic Systems: A Neuro-Symbolic Vision
Intelligent Value-Co-Creation for Cross-Domain and Cross-Perspective Data Fusion in Socio-Technical Systems: Challenges and Future Research Avenues
CIRCE: a Scalable Methodology for Causal Explanations in Cyber-Physical Systems
The Idea of Optimization for Self-Improving Systems
Variability-Aware Architecture for Human-Chatbot Interactions: Taming Levels of Automation
A Self-Adaptive Blockchain Framework to Balance Performance, Security, and Energy Consumption in IoT applications
A Programming Language for Sound Self-Adaptive Systems
μOpt: An Efficient Optimal Autoscaler for Microservice Applications
Prediction-driven resource provisioning for serverless container runtimes
Building Reusable Repertoires for Stochastic Self-* Planners
Towards Situation-Aware Meta-Optimization of Adaptation Planning Strategies
Towards Self-Adaptive Monitoring of Storage Environments with Distributed Sensor Systems
Towards realistic task and capability descriptions in self-organizing production systems
An Information-oriented View of Multi-Scale Systems
Generative Models for Temporal-Based Task Definition
Complex Systems, Self-Organisation, and Simulation
Research directions for Aggregate Computing with Machine Learning
A Deep Domain-Specific Model Framework for Self-Reproducing Robotic Control Systems
Taming Resource Heterogeneity In Distributed ML Training With Dynamic Batching
A Novel Technique for Mapping Jammed Areas in Connected and Autonomous Vehicles (CAVs)
FedMAC: Federated Multi-Algorithm Clustering for Autonomic Systems
dTAS: A Decentralized Self-Adaptive Service-Based System Exemplar
An Agent-Based Model of Directional Multi-Herds
Improving Adaptability in Agents Through Popperian Expectations
Investigation of Fundamental Algorithms for Cooperative Exploration of Mobile Agents in Search and Rescue Scenarios
Towards Mapping Control Theory and Software Engineering Properties using Specification Patterns
Modelling Adaptive Autonomic Cloud Application Utility Using Template Functions
Semi-Automatic Integration of Little Languages
Self-Aware Control for Autonomous Underwater Vehicles
A Self-Learning Architecture for Digital Twins with Self-Protection
Of Diamonds, Rings, and Bracelets: Local Values of the Response Parameter can Increase the Synchronization Probability in Pulse-Coupled Oscillators
EnTrace: Achieving Enhanced Traceability in Self-Aware Computing Systems
Self-Integration in Mediated-Reality Systems: a Socio-Technical Perspective
Message from the Doctoral Symposium Chairs: ACSOS-C 2024
Runtime Verification of Autonomous Systems Utilizing Digital Twins as a Service
Stigmergic, Diegetic Guidance of Swarm Construction
Digital twins for collaboration and self-integration
To do or not to do: finding causal relations in smart homes
Safety-Aware Adaptive Reinforcement Learning for Mobile Assistive-Care Robots
Balancing Three Important Goals for Runtimes - Isolation, High Performance, and Resource Efficiency
Self-stabilising Priority-Based Multi-Leader Election and Network Partitioning
Adaptive Multi-Agent System for Dynamic Preference Learning: Application to Mobility
Abnormal Behaviour Detection of Self-Adaptive Agents in Traffic Environments
Language Abstractions and Techniques for Developing Collective Adaptive Systems Using Context-oriented Programming
Unified Architecture for Expectations in Adaptive Agents
Learning to Learn in Collective Adaptive Systems: Mining Design Patterns for Data-driven Reasoning
Automatic Differentiation over Fluid Models for Holistic Load Balancing
Adaptive Defense Mechanisms Against Dynamic Poisoning Attacks in Decentralized Federated Learning
AEROGRAM: Adaptive Environment & Rerouting Optimiser with GMM-Augmented LSTM Airspace Model
Message from the Program Chairs: ACSOS-C 2024
Self-Integration and Self-Organisation of Autonomous Surface Vessels in Traffic Busy Waterways
An Information-Theoretic Analysis of Leadership in Self-Organised Collective Action
Empirical Characterization of User Reports about Cloud Failures
Normalization of Severity Rating for Automated Context-aware Vulnerability Risk Management
A Data-Driven Approach for Modeling Unknown Multi-Scale Systems
Dataset Augmentation for Robust Spiking Neural Networks
Identifying Failure Root Causes for Cloud-Native Microservice Applications
Predictive Autonomous Runtime Modeling for Interwoven Systems
IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2022, Virtual, CA, USA, September 19-23, 2022
Engineering Collective Adaptive Systems with CASSim
A Heuristic for an Online Applicability of Anomaly Detection Techniques
Continuous learning and cooperative prediction for traffic dynamics by Adaptive Multi-Agent Systems
AI - Based On The Fly Design of Experiments in Physics and Engineering
Enhancing the Smart, Digitized Food Supply Chain through Self-Learning and Self-Adaptive Systems
Under Control: A Control Theory Introduction for Computer Scientists
OHODIN - Online Anomaly Detection for Data Streams
Towards Resilient Execution of Adaptation in Decentralized Self-Adaptive Software Systems
Using Design Questions to Analyze System Adaptation Potential
An adaptive page replacement scheme for scientific applications
An anytime algorithm for dynamic multi-agent task allocation problems
SaVE: Self-aware Vehicular Edge Computing with Efficient Resource Allocation
Worst-Case Impact Assessment of Multi-Alarm Stealth Attacks Against Control Systems with CUSUM-Based Anomaly Detection
Load Balancing and Generalized Split State Reconciliation in Event Driven Systems
The Computational Complexity of Designing Scalar-Field Sensing Robot Teams and Environments for Distributed Construction (Extended Abstract)
Swarm Control Approach Combining Leader and Predator Agents
Towards a Holistic, Self-Organised Safety Framework for Construction
Resiliency and Antifragility in Modern Software Systems- A Concept Paper
Hybrid Planning Using Learning and Model Checking for Autonomous Systems
A Real-Word Realization of the AntNet Routing Algorithm with ActivityBots
Macro-Types in Multi-Scale Feedback Systems: A Conceptual Framework
IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2023 - Companion, Toronto, ON, Canada, September 25-29, 2023
Detection of Similar Functions Through the Use of Dominator Information
A Survey of Methodology in Self-Adaptive Systems Research
The Institution Bootstrapping Problem and Some Counter-Intuitive Solutions
Digital Shadows in Self-Improving System Integration: A Concept U sing Generative Modelling
Towards Self-Organisation in Multi-Task Scheduling for Multi-Satellite Missions
Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
Leveraging Large Language Models for Auto-remediation in Microservices Architecture
Effect of Monotonic Filtering on Graph Collection Dynamics
Engage-Envision-Enact: Self-Organised Governance for Self-Improving Socio-Technical Systems
A Customizable Wrapper for Domain-Grounded and Well-Informed Use of Large Language Models in Existing Artifacts
Improving Collection Dynamics by Monotonic Filtering
Exploiting Controllers to Adapt Message-Oriented Middleware
Less is More: An Analysis of Minimal Information Sharing on the Performance of Robot Swarms
The Underpinnings for Cooperation: Going from Integrated to Cooperating
Towards High-Quality Battery Life for Autonomous Mobile Robot Fleets
Lensing: It is All About Perspective
Model Predictive Control of Internet Servers using Quantum Annealing
A Socio-Technical Perspective on Fostering Sustainable Community Development via Social Capital and Social Cohesion
A Road Toward Reflective Normative Agents
Antifragility via Online Learning and Monitoring: An IoT Case Study
Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
An Arms Race in Theory-of-Mind: Deception Drives the Emergence of Higher-level Theory-of-Mind in Agent Societies
Formal Methods for Attack Detection in Autonomous Driving Systems: The FORESEEN Project
A Systematic Review of Fault Tolerance Techniques for Adaptive and Context-Aware Systems
Reflective Learning Classifier Systems for Self-Adaptive and Self-Organising Agents
Multiplatform Self-Organizing Systems Through a Kotlin-MP Implementation of Aggregate Computing
Coordinated Online Reinforcement Learning for Self-Adaptive Systems Using Factored Q-Learning
Neuro-Symbolic Causal Reasoning for Cautious Self-Adaptation Under Distribution Shifts
Energy Efficient Scheduling for Serverless Systems
SALSA: Swarm Algorithm Simulator
Empirical Expectations and Coordination Games
Empirical Analysis of the I/O Characteristics of a Highly Integrated Many-Core Processor
Extending Context Awareness by Anticipating Uncertainty with Enki and Darjeeling
The Sustainable Foraging Problem
An Approach for Bone Pose Estimation via Three External Ellipsoid Pressure Points
Mass Equivalent Pantographs for Synthesis of Balanced Focal Mechanisms
On Some Notable Singularities of 3-RP̲R and 3-R̲RR PPRMs
In-Hand Manipulative Synthesis Using Velocity Subspaces
Modeling of a Remote Center of Motion Spherical Parallel Tensegrity Mechanism for Percutaneous Interventions
Assessment of finger joint angles and calibration of instrumental glove
Bond Theory and Closed 5R Linkages
On the Singularities of a Parallel Robotic System Used for Elbow and Wrist Rehabilitation
On the Use of Ternary Products to Characterize the Dexterity of Spatial Kinematic Chains
A Unified Approach to Forward Kinematics for Cable-Driven Parallel Robots Based on Energy
Subject-Specific Model of Knee Natural Motion: A Non-invasive Approach
Synthesis of Gripper Mechanisms Derived from Baranov Chains
All singularities of the 9-DOF DLR medical robot setup for minimally invasive applications
First and Second Order Centrodes of Slider-Crank Mechanisms by Using Instantaneous Invariants
Type Synthesis of Binary Actuated Parallel Mechanisms
Robotic Analysation Methodology for Multidirectional Additive Manufacturing Process Configuration
A polar decomposition based displacement metric for a finite region of SE( n )
Iterative Method for the Inverse Kinematics of a 3-Limb Parallel Mechanism with 3-DOF Using a 6-Limb Mechanism with 6-DOF
Synergies Evaluation of the SCHUNK S5FH for Grasping Control
A Complete Analysis of Singularities of a Parallel Medical Robot
Stiffness and Transparency of a Collaborative Cable-Driven Parallel Robot
Synthesis of a Family of Regular Deployable Polyhedral Mechanisms (DPMs)
Sensitivity of the Direct Kinematics of Underactuated Cable-Driven Parallel Robots to Redundant Sensor-Measurement Errors
Wriflex: Design and Kinematic Analysis of a Self-aligning Parallel Wrist
Classification of the Singularity Loci of m-n Fully-Parallel Manipulators
A Geometric Method of Singularity Avoidance for Kinematically Redundant Planar Parallel Robots
A Panorama of Methods for Dealing with Sagging Cables in Cable-Driven Parallel Robots
Static Modeling of Sagging Cables with Flexural Rigidity and Shear Forces
On PKM with articulated travelling-plate and large tilting angles
Evaluating the Snappability of Bar-Joint Frameworks
Real-Time Motion-Planning in Dynamic Environments via Enhanced Velocity Obstacle
Randomized Planning of Dynamic Motions Avoiding Forward Singularities
Motion Parameterization of Parallel Robots Used in Lower Limb Rehabilitation
Advances in Robot Kinematics 2022, ARK 2022, Bilbao, Spain, June 26-30, 2022
Synthesis of Linkages to Trace Plane Curves