A semantically-aided approach for online annotation and retrieval of medical images. - George K. Kyriazos; Ilias Gerostathopoulos; Vasileios D. Kolias; John S. Stoitsis; Konstantina S. Nikita (EMBC, 2011)

DEECO: an ensemble-based component system. - Tomás Bures; Ilias Gerostathopoulos; Petr Hnetynka; Jaroslav Keznikl; Michal Kit; Frantisek Plásil (CBSE, 2013)

Design of ensemble-based component systems by invariant refinement. - Jaroslav Keznikl; Tomás Bures; Frantisek Plásil; Ilias Gerostathopoulos; Petr Hnetynka; Nicklas Hoch (CBSE, 2013)

A Life Cycle for the Development of Autonomic Systems: The E-mobility Showcase. - Tomás Bures; Rocco De Nicola; Ilias Gerostathopoulos; Nicklas Hoch; Michal Kit; Nora Koch; Giacoma Valentina Monreale; Ugo Montanari; Rosario Pugliese; Nikola B. Serbedzija; Martin Wirsing; Franco Zambonelli (SASO Workshops, 2013)

Position paper: towards a requirements-driven design of ensemble-based component systems. - Ilias Gerostathopoulos; Tomás Bures; Petr Hnetynka (HotTopiCS, 2013)

Gossiping Components for Cyber-Physical Systems. - Tomás Bures; Ilias Gerostathopoulos; Petr Hnetynka; Jaroslav Keznikl; Michal Kit; Frantisek Plásil (ECSA, 2014)

Software Engineering for Software-Intensive Cyber-Physical Systems. - Ilias Gerostathopoulos; Jaroslav Keznikl; Tomás Bures; Michal Kit; Frantisek Plásil (GI-Jahrestagung, 2014)

DEECo: an ecosystem for cyber-physical systems. - Rima Al Ali; Tomás Bures; Ilias Gerostathopoulos; Petr Hnetynka; Jaroslav Keznikl; Michal Kit; Frantisek Plásil (ICSE Companion, 2014)

Model-Driven Design of Ensemble-Based Component Systems. - Ilias Gerostathopoulos (PSRC@MoDELS, 2014)

Architecture Adaptation Based on Belief Inaccuracy Estimation. - Rima Al Ali; Tomás Bures; Ilias Gerostathopoulos; Jaroslav Keznikl; Frantisek Plásil (WICSA, 2014)

An Architecture-Based Approach for Compute-Intensive Pervasive Systems in Dynamic Environments. - Rima Al Ali; Ilias Gerostathopoulos; Inti Y. Gonzalez-Herrera; Adrian Juan Verdejo; Michal Kit; Bholanathsingh Surajbali (HotTopiCS@ICPE, 2014)

DEECo: Software Engineering for Smart CPS. - Tomás Bures; Ilias Gerostathopoulos; Rima Al Ali (ERCIM News, 2014)

Formalization of Invariant Patterns for the Invariant Refinement Method. - Tomás Bures; Ilias Gerostathopoulos; Jaroslav Keznikl; Frantisek Plásil; Petr Tuma 001 (Software, Services, and Systems, 2015)

Meta-Adaptation Strategies for Adaptation in Cyber-Physical Systems. - Ilias Gerostathopoulos; Tomás Bures; Petr Hnetynka; Adam Hujecek; Frantisek Plásil; Dominik Skoda (ECSA, 2015)

Software Engineering Meets Control Theory. - Antonio Filieri; Martina Maggio; Konstantinos Angelopoulos; Nicolás D'Ippolito; Ilias Gerostathopoulos; Andreas B. Hempel; Henry Hoffmann; Pooyan Jamshidi; Evangelia Kalyvianaki; Cristian Klein; Filip Krikava; Sasa Misailovic; et al. (SEAMS@ICSE, 2015)

Adaptive Exchange of Distributed Partial Models@run.time for Highly Dynamic Systems. - Sebastian Götz; Ilias Gerostathopoulos; Filip Krikava; Adnan Shahzada; Romina Spalazzese (SEAMS@ICSE, 2015)

An Architecture Framework for Experimentations with Self-Adaptive Cyber-physical Systems. - Michal Kit; Ilias Gerostathopoulos; Tomás Bures; Petr Hnetynka; Frantisek Plásil (SEAMS@ICSE, 2015)

Software Engineering for Smart Cyber-Physical Systems - Towards a Research Agenda: Report on the First International Workshop on Software Engineering for Smart CPS. - Tomás Bures; Danny Weyns; Christian Berger 001; Stefan Biffl; Marian Daun; Thomas Gabor; David Garlan; Ilias Gerostathopoulos; Christine Julien 001; Filip Krikava; Richard Mordinyi; Nikos Pronios (ACM SIGSOFT Softw. Eng. Notes, 2015)

Supporting Performance Awareness in Autonomous Ensembles. - Lubomír Bulej; Tomás Bures; Ilias Gerostathopoulos; Vojtech Horký; Jaroslav Keznikl; Lukás Marek; Max Tschaikowski; Mirco Tribastone; Petr Tuma 001 (The ASCENS Approach, 2015)

The Invariant Refinement Method. - Tomás Bures; Ilias Gerostathopoulos; Petr Hnetynka; Jaroslav Keznikl; Michal Kit; Frantisek Plásil (The ASCENS Approach, 2015)

Architectural Homeostasis in Self-Adaptive Software-Intensive Cyber-Physical Systems. - Ilias Gerostathopoulos; Dominik Skoda; Frantisek Plásil; Tomás Bures; Alessia Knauss (ECSA, 2016)

Towards systematic live experimentation in software-intensive systems of systems. - Ilias Gerostathopoulos; Tomás Bures; Sanny Schmid; Vojtech Horký; Christian Prehofer; Petr Tuma 001 (SiSoS@ECSA, 2016)

Model problem and testbed for experiments with adaptation in smart cyber-physical systems. - Vladimír Matena; Tomás Bures; Ilias Gerostathopoulos; Petr Hnetynka (SEAMS@ICSE, 2016)

QryGraph: A graphical tool for Big Data analytics. - Sanny Schmid; Ilias Gerostathopoulos; Christian Prehofer (SMC, 2016)

Towards Integration of Big Data Analytics in Internet of Things Mashup Tools. - Tanmaya Mahapatra; Ilias Gerostathopoulos; Christian Prehofer (WoT, 2016)

Self-adaptation in software-intensive cyber-physical systems: From system goals to architecture configurations. - Ilias Gerostathopoulos; Tomás Bures; Petr Hnetynka; Jaroslav Keznikl; Michal Kit; Frantisek Plásil; Noël Plouzeau (J. Syst. Softw., 2016)

Modeling RESTful Web of Things Services: Concepts and Tools. - Christian Prehofer; Ilias Gerostathopoulos (Managing the Web of Things, 2017)

Theta Architecture: Preserving the Quality of Analytics in Data-Driven Systems. - Vasileios Theodorou; Ilias Gerostathopoulos; Sasan Amini; Riccardo Scandariato; Christian Prehofer; Miroslaw Staron (ADBIS (Short Papers and Workshops), 2017)

Adaptive Bootstrapping for Crowdsourced Indoor Maps. - Georgios Pipelidis; Christian Prehofer; Ilias Gerostathopoulos (GISTAM, 2017)

Bootstrapping the Dynamic Generation of Indoor Maps with Crowdsourced Smartphone Sensor Data. - Georgios Pipelidis; Christian Prehofer; Ilias Gerostathopoulos (GISTAM (Selected Papers), 2017)

Intelligent Ensembles - A Declarative Group Description Language and Java Framework. - Filip Krijt; Zbynek Jirácek; Tomás Bures; Petr Hnetynka; Ilias Gerostathopoulos (SEAMS@ICSE, 2017)

Self-Adaptation Based on Big Data Analytics: A Model Problem and Tool. - Sanny Schmid; Ilias Gerostathopoulos; Christian Prehofer; Tomás Bures (SEAMS@ICSE, 2017)

Big data analytics architecture for real-time traffic control. - Sasan Amini; Ilias Gerostathopoulos; Christian Prehofer (MT-ITS, 2017)

Intelligent Ensembles - a Declarative Group Description Language and Java Framework (Artifact). - Filip Krijt; Zbynek Jirácek; Tomás Bures; Petr Hnetynka; Ilias Gerostathopoulos (Dagstuhl Artifacts Ser., 2017)

Model Problem (CrowdNav) and Framework (RTX) for Self-Adaptation Based on Big Data Analytics (Artifact). - Sanny Schmid; Ilias Gerostathopoulos; Christian Prehofer; Tomás Bures (Dagstuhl Artifacts Ser., 2017)

Software Engineering for Smart Cyber-Physical Systems: Challenges and Promising Solutions. - Tomás Bures; Danny Weyns; Bradley R. Schmerl; Eduardo Tovar; Eric Boden; Thomas Gabor; Ilias Gerostathopoulos; Pragya Gupta; Eunsuk Kang; Alessia Knauss; Pankesh Patel; Awais Rashid; et al. (ACM SIGSOFT Softw. Eng. Notes, 2017)

Control Strategies for Self-Adaptive Software Systems. - Antonio Filieri; Martina Maggio; Konstantinos Angelopoulos; Nicolás D'Ippolito; Ilias Gerostathopoulos; Andreas Berndt Hempel; Henry Hoffmann; Pooyan Jamshidi; Evangelia Kalyvianaki; Cristian Klein; Filip Krikava; Sasa Misailovic; et al. (ACM Trans. Auton. Adapt. Syst., 2017)

Strengthening Adaptation in Cyber-Physical Systems via Meta-Adaptation Strategies. - Ilias Gerostathopoulos; Tomás Bures; Petr Hnetynka; Adam Hujecek; Frantisek Plásil; Dominik Skoda (ACM Trans. Cyber Phys. Syst., 2017)

Guaranteed latency applications in edge-cloud environment. - Petr Hnetynka; Petr Kubát; Rima Al Ali; Ilias Gerostathopoulos; Danylo Khalyeyev (ECSA (Companion), 2018)

Cost-Aware Stage-Based Experimentation: Challenges and Emerging Results. - Ilias Gerostathopoulos; Christian Prehofer; Lubomír Bulej; Tomás Bures; Vojtech Horký; Petr Tuma 001 (ICSA Companion, 2018)

Adapting a system with noisy outputs with statistical guarantees. - Ilias Gerostathopoulos; Christian Prehofer; Tomás Bures (SEAMS@ICSE, 2018)

Graphical Spark Programming in IoT Mashup Tools. - Tanmaya Mahapatra; Ilias Gerostathopoulos; Christian Prehofer; Shilpa Ghanashyam Gore (IoTSMS, 2018)

A Tool for Online Experiment-Driven Adaptation. - Ilias Gerostathopoulos; Ali Naci Uysal; Christian Prehofer; Tomás Bures (FAS*W@SASO/ICAC, 2018)

Stream Analytics in IoT Mashup Tools. - Tanmaya Mahapatra; Christian Prehofer; Ilias Gerostathopoulos; Ioannis Varsamidakis (VL/HCC, 2018)

Report of the 1st International Workshop on Context-aware Autonomous and Smart Architectures (CASA@ECSA 2017). - Claudia Raibulet; Mariagrazia Fugini; Khalil Drira; Patrizio Pelliccione; Ilias Gerostathopoulos; Christian Prehofer; Klaus Moessner (ACM SIGSOFT Softw. Eng. Notes, 2018)

Report of the 1st International Workshop on Context-aware Autonomous and Smart Architectures (CASA@ECSA 2017). - Claudia Raibulet; Mariagrazia Fugini; Khalil Drira; Patrizio Pelliccione; Ilias Gerostathopoulos; Christian Prefoher; Klaus Moessner (ACM SIGSOFT Softw. Eng. Notes, 2018)

Experimenting with Adaptation in Smart Cyber-Physical Systems: A Model Problem and Testbed. - Vladimír Matena; Tomás Bures; Ilias Gerostathopoulos; Petr Hnetynka (Engineering Adaptive Software Systems, 2019)

A Framework for Tunable Anomaly Detection. - Md Rakibul Alam; Ilias Gerostathopoulos; Christian Prehofer; Alessandro Attanasi; Tomás Bures (ICSA, 2019)

TRAPPed in traffic?: a self-adaptive framework for decentralized traffic optimization. - Ilias Gerostathopoulos; Evangelos Pournaras (SEAMS@ICSE, 2019)

Can Today's Machine Learning Pass Image-Based Turing Tests? - Apostolis Zarras; Ilias Gerostathopoulos; Daniel Méndez Fernández (ISC, 2019)

Automated Trainability Evaluation for Smart Software Functions. - Ilias Gerostathopoulos; Stefan Kugele; Christoph Segler; Tomás Bures; Alois C. Knoll (ASE, 2019)

Adaptable Anomaly Detection in Traffic Flow Time Series. - Md Rakibul Alam; Ilias Gerostathopoulos; Sasan Amini; Christian Prehofer; Alessandro Attanasi (MT-ITS, 2019)

Planning as Optimization: Dynamically Discovering Optimal Configurations for Runtime Situations. - Erik M. Fredericks; Ilias Gerostathopoulos; Christian Krupitzer; Thomas Vogel 001 (SASO, 2019)

Simulation methods and tools for collaborative embedded systems: with focus on the automotive smart ecosystems. - Emilia Cioroaica; Florian Pudlitz; Ilias Gerostathopoulos; Thomas Kuhn 001 (SICS Softw.-Intensive Cyber Phys. Syst., 2019)

Tuning self-adaptation in cyber-physical systems through architectural homeostasis. - Ilias Gerostathopoulos; Dominik Skoda; Frantisek Plásil; Tomás Bures; Alessia Knauss (J. Syst. Softw., 2019)

Continuous Data-driven Software Engineering - Towards a Research Agenda: Report on the Joint 5th International Workshop on Rapid Continuous Software Engineering (RCoSE 2019) and 1st International Works. - Ilias Gerostathopoulos; Marco Konersmann; Stephan Krusche; David Issa Mattos; Jan Bosch; Tomás Bures; Brian Fitzgerald 001; Michael Goedicke; Henry Muccini; Helena Holmström Olsson; Thomas Brand; Robert Chatley; et al. (ACM SIGSOFT Softw. Eng. Notes, 2019)

A Toolbox for Realtime Timeseries Anomaly Detection. - Markus böbel; Ilias Gerostathopoulos; Tomás Bures (ICSA Companion, 2020)

Engineering for a science-centric experimentation platform. - Nikos Diamantopoulos; Jeffrey Wong; David Issa Mattos; Ilias Gerostathopoulos; Matthew Wardrop; Tobias Mao; Colin McFarland (ICSE (SEIP), 2020)

Using component ensembles for modeling autonomic component collaboration in smart farming. - Petr Hnetynka; Tomás Bures; Ilias Gerostathopoulos; Jan Pacovsky (SEAMS@ICSE, 2020)

Knowledge aggregation with subjective logic in multi-agent self-adaptive cyber-physical systems. - Ana Petrovska; Sergio Quijano; Ilias Gerostathopoulos; Alexander Pretschner (SEAMS@ICSE, 2020)

Forming Ensembles at Runtime: A Machine Learning Approach. - Tomás Bures; Ilias Gerostathopoulos; Petr Hnetynka; Jan Pacovsky (ISoLA (2), 2020)

Clustering Traffic Scenarios Using Mental Models as Little as Possible. - Florian Hauer 002; Ilias Gerostathopoulos; Tabea Schmidt; Alexander Pretschner (IV, 2020)

Introduction to the Special Issue "Applications in Self-Aware Computing Systems and their Evaluation". - Christian Krupitzer; Benedikt Eberhardinger; Ilias Gerostathopoulos; Claudia Raibulet (Comput., 2020)

A language and framework for dynamic component ensembles in smart systems. - Tomás Bures; Ilias Gerostathopoulos; Petr Hnetynka; Frantisek Plásil; Filip Krijt; Jirí Vinárek; Jan Kofron (Int. J. Softw. Tools Technol. Transf., 2020)

Online Experiment-Driven Learning and Adaptation. - Ilias Gerostathopoulos; Alexander auf der Straße (Model-Based Engineering of Collaborative Embedded Systems, 2021)

MEDAL: An AI-Driven Data Fabric Concept for Elastic Cloud-to-Edge Intelligence. - Vasileios Theodorou; Ilias Gerostathopoulos; Iyad Alshabani; Alberto Abelló; David Breitgand (AINA (3), 2021)

Towards a Taxonomy of Autonomous Systems. - Stefan Kugele; Ana Petrovska; Ilias Gerostathopoulos (ECSA, 2021)

Aspect-Oriented Adaptation of Access Control Rules. - Tomás Bures; Ilias Gerostathopoulos; Petr Hnetynka; Stephan Seifermann; Maximilian Walter; Robert Heinrich (SEAA, 2021)

Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study. - Justus Bogner; Roberto Verdecchia; Ilias Gerostathopoulos (TechDebt@ICSE, 2021)

A Software-Agnostic Agent-based Platform for Modelling Emerging Mobility Systems. - Lampros Yfantis; Simon M. Stebbins; Ilias Gerostathopoulos; Tamara Djukic; Jordi Casas; David García; Maria Kamargianni; Manos Chaniotakis (MT-ITS, 2021)

How do we Evaluate Self-adaptive Software Systems?: A Ten-Year Perspective of SEAMS. - Ilias Gerostathopoulos; Thomas Vogel 001; Danny Weyns; Patricia Lago (SEAMS@ICSE, 2021)

Run-time Reasoning from Uncertain Observations with Subjective Logic in Multi-Agent Self-Adaptive Cyber-Physical Systems. - Ana Petrovska; Malte Neuss; Ilias Gerostathopoulos; Alexander Pretschner (SEAMS@ICSE, 2021)

Automated Online Experiment-Driven Adaptation-Mechanics and Cost Aspects. - Ilias Gerostathopoulos; Frantisek Plásil; Christian Prehofer; Janek Thomas; Bernd Bischl (IEEE Access, 2021)

How do we Evaluate Self-adaptive Software Systems? - Ilias Gerostathopoulos; Thomas Vogel 001; Danny Weyns; Patricia Lago (CoRR, 2021)

Decentralized Optimization of Vehicle Route Planning - A Cross-City Comparative Study. - Brionna Davis; Grace Jennings; Taylor Pothast; Ilias Gerostathopoulos; Evangelos Pournaras; Raphael E. Stern (IEEE Internet Comput., 2021)

Managing latency in edge-cloud environment. - Lubomír Bulej; Tomás Bures; Adam Filandr; Petr Hnetynka; Iveta Hnetynková; Jan Pacovsky; Gabor Sandor; Ilias Gerostathopoulos (J. Syst. Softw., 2021)

Targeting uncertainty in smart CPS by confidence-based logic. - Tomás Bures; Petr Hnetynka; Frantisek Plásil; Dominik Skoda; Jan Kofron; Rima Al Ali; Ilias Gerostathopoulos (J. Syst. Softw., 2021)

How do we Evaluate Self-adaptive Software Systems? [replication package]. - Ilias Gerostathopoulos; Thomas Vogel 001; Danny Weyns; Patricia Lago (Zenodo, 2021)

MockSAS: Facilitating the Evaluation of Bandit Algorithms in Self-adaptive Systems. - Elvin Alberts; Ilias Gerostathopoulos; Tomás Bures (ECSA (Tracks and Workshops), 2022)

Assessing Self-Adaptation Strategies Using Cost-Benefit Analysis. - Ilias Gerostathopoulos; Claudia Raibulet; Elvin Alberts (ICSA Companion, 2022)

Expressing the Adaptation Intent as a Sustainability Goal. - Ilias Gerostathopoulos; Claudia Raibulet; Patricia Lago (ICSE (NIER), 2022)

Measuring Convergence Inertia: Online Learning in Self-adaptive Systems with Context Shifts. - Elvin Alberts; Ilias Gerostathopoulos (ISoLA (3), 2022)

Emergent Web Server: An Exemplar to Explore Online Learning in Compositional Self-Adaptive Systems. - Roberto Rodrigues Filho; Elvin Alberts; Ilias Gerostathopoulos; Barry Porter; Fábio M. Costa (SEAMS, 2022)

Preliminary Results of a Survey on the Use of Self-Adaptation in Industry. - Danny Weyns; Ilias Gerostathopoulos; Nadeem Abbas; Jesper Andersson; Stefan Biffl; Premek Brada; Tomás Bures; Amleto Di Salle; Patricia Lago; Angelika Musil; Juergen Musil; Patrizio Pelliccione (SEAMS, 2022)

Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. - Danny Weyns; Ilias Gerostathopoulos; Barbora Buhnova; Nicolás Cardozo; Emilia Cioroaica; Ivana Dusparic; Lars Grunske; Pooyan Jamshidi; Christine Julien 001; Judith Michael; Gabriel A. Moreno; Shiva Nejati 001; et al. (ACM SIGSOFT Softw. Eng. Notes, 2022)

Evolvability of Machine Learning-based Systems: An Architectural Design Decision Framework. - Joran Leest; Ilias Gerostathopoulos; Claudia Raibulet (ICSA-C, 2023)

What's Next in my Backlog? Time Series Analysis of User Reviews. - Gøran H. Strønstad; Ilias Gerostathopoulos; Emitzá Guzmán (REW, 2023)

SUAVE: An Exemplar for Self-Adaptive Underwater Vehicles. - Gustavo Rezende Silva; Juliane Päßler; Jeroen Zwanepol; Elvin Alberts; Silvia Lizeth Tapia Tarifa; Ilias Gerostathopoulos; Einar Broch Johnsen; Carlos Hernández Corbato (SEAMS, 2023)

Self-Adaptation in Industry: A Survey. - Danny Weyns; Ilias Gerostathopoulos; Nadeem Abbas; Jesper Andersson; Stefan Biffl; Premek Brada; Tomás Bures; Amleto Di Salle; Matthias Galster; Patricia Lago; Grace A. Lewis; Marin Litoiu; et al. (ACM Trans. Auton. Adapt. Syst., 2023)

Towards a Research Agenda for Understanding and ManagingUncertainty in Self-Adaptive Systems. - Danny Weyns; Radu Calinescu; Raffaela Mirandola; Kenji Tei; Maribel Acosta; Amel Bennaceur; Nicolas Boltz; Tomás Bures; Javier Cámara 001; Ada Diaconescu; Gregor Engels; Simos Gerasimou; et al. (ACM SIGSOFT Softw. Eng. Notes, 2023)

ReBeT: Architecture-based Self-adaptation of Robotic Systems through Behavior Trees. - Elvin Alberts; Ilias Gerostathopoulos; Vincenzo Stoico; Patricia Lago (ACSOS, 2024)

ExpEngine: A Tool for Data Analytics Workflow Optimization Through User-Driven Experimentation. - Keerthiga Rajenthiram; Milad Abdullah; Ilias Gerostathopoulos; Petr Hnetynka; Tomás Bures (ACSOS-C, 2024)

An Analysis of MLOps Architectures: A Systematic Mapping Study. - Faezeh Amou Najafabadi; Justus Bogner; Ilias Gerostathopoulos; Patricia Lago (ECSA, 2024)

Expert Monitoring: Human-Centered Concept Drift Detection in Machine Learning Operations. - Joran Leest; Claudia Raibulet; Ilias Gerostathopoulos; Patricia Lago (NIER@ICSE, 2024)

Self-Adaptation in Industry: A Survey. - Danny Weyns; Ilias Gerostathopoulos; Nadeem Abbas; Jesper Andersson; Stefan Biffl; Premek Brada; Thomas Bures; Amleto Di Salle; Matthias Galster; Patricia Lago; Grace A. Lewis; Marin Litoiu; et al. (Software Engineering, 2024)

Expert-Driven Monitoring of Operational ML Models. - Joran Leest; Claudia Raibulet; Ilias Gerostathopoulos; Patricia Lago (CoRR, 2024)

An Analysis of MLOps Architectures: A Systematic Mapping Study. - Faezeh Amou Najafabadi; Justus Bogner; Ilias Gerostathopoulos; Patricia Lago (Zenodo, 2024)

An Analysis of MLOps Architectures: A Systematic Mapping Study. - Faezeh Amou Najafabadi; Justus Bogner; Ilias Gerostathopoulos; Patricia Lago (Zenodo, 2024)

An Analysis of MLOps Architectures: A Systematic Mapping Study. - Faezeh Amou Najafabadi; Justus Bogner; Ilias Gerostathopoulos; Patricia Lago (Zenodo, 2024)

Introduction to ACSOS 2022 Special Issue. - Elisabetta Di Nitto; Ilias Gerostathopoulos; Kirstie L. Bellman (ACM Trans. Auton. Adapt. Syst., 2024)

Synthesizing Structural and Process Views of MLOps Architectures: A Systematic Mapping Study. - Faezeh Amou Najafabadi; Justus Bogner; Ilias Gerostathopoulos; Patricia Lago (Zenodo, 2024)

How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model Integration. - Shreyas Kumar Parida; Ilias Gerostathopoulos; Justus Bogner (CAIN, 2025)

Towards Continuous Experiment-Driven MLOps. - Keerthiga Rajenthiram; Milad Abdullah; Ilias Gerostathopoulos; Petr Hnetynka; Tomás Bures; Gerard Pons 001; Besim Bilalli; Anna Queralt (CAIN, 2025)

SURE! A Catalog of Uncertainties and RELAXed Requirements for Self-adaptive Systems. - Claudia Raibulet; Ilias Gerostathopoulos; Osman Abdelmukaram (ECSA, 2025)

A Model-Based Approach to Experiment-Driven Evolution of ML Workflows. - Petr Hnetynka; Tomás Bures; Ilias Gerostathopoulos; Milad Abdullah; Keerthiga Rajenthiram (MODELSWARD, 2025)

Software architecture-based self-adaptation in robotics. - Elvin Alberts; Ilias Gerostathopoulos; Ivano Malavolta; Carlos Hernández Corbato; Patricia Lago (J. Syst. Softw., 2025)

From Tea Leaves to System Maps: Context-awareness in Monitoring Operational Machine Learning Models. - Joran Leest; Claudia Raibulet; Patricia Lago; Ilias Gerostathopoulos (CoRR, 2025)