Publications

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Modeling the p-Dispersion Problem with Distance Constraints

Published in In the proceedings of the 32nd International Conference on Principles and Practice of Constraint Programming (CP 2026), 2026

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Recommended citation: Panteleimon Iosif, Nikolaos Ploskas, Kostas Stergiou, Dimos Tsouros, "Modeling the p-Dispersion Problem with Distance Constraints." In the proceedings of the 32nd International Conference on Principles and Practice of Constraint Programming (CP 2026), 2026. https://drops.dagstuhl.de/storage/00lipics/lipics-vol379-cp2026/LIPIcs.CP.2026.30/LIPIcs.CP.2026.30.pdf

Machine Learning-Based Generalization Queries for Constraint Acquisition

Published in In the proceedings of the Workshop on Constraint Modelling and Reformulation (ModRef 2026) at CP 2026, 2026

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Recommended citation: Dimos Tsouros, Senne Berden, Tias Guns, "Machine Learning-Based Generalization Queries for Constraint Acquisition." In the proceedings of the Workshop on Constraint Modelling and Reformulation (ModRef 2026) at CP 2026, 2026. https://dimostsouros.github.io/files/ModRef2026-04-ML-Based-Generalization-Queries-for-Constraint-Acquisition.pdf

Solver-Free Decision-Focused Learning for Linear Optimization Problems

Published in In the proceedings of Advances in Neural Information Processing Systems (NeurIPS 2025), 2025

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Recommended citation: Senne Berden, Ali İrfan Mahmutoğulları, Dimos Tsouros, Tias Guns, "Solver-Free Decision-Focused Learning for Linear Optimization Problems." In the proceedings of Advances in Neural Information Processing Systems (NeurIPS 2025), 38, 158127-158145, 2025. https://arxiv.org/pdf/2505.22224

Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities

Published in Journal of Artificial Intelligence Research, 2025

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Recommended citation: Quentin Cappart, Tias Guns, Michele Lombardi, Gilles Pesant, Dimos Tsouros, "Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities." Journal of Artificial Intelligence Research, 84, Article 28, 2025. https://www.jair.org/index.php/jair/article/download/19533/27252

CP-Bench: Evaluating Large Language Models for Constraint Modelling

Published in In the proceedings of the 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

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Recommended citation: Kostis Michailidis, Dimos Tsouros, Tias Guns, "CP-Bench: Evaluating Large Language Models for Constraint Modelling." In the proceedings of the 28th European Conference on Artificial Intelligence (ECAI 2025), Frontiers in Artificial Intelligence and Applications, 413, 861-868, 2025. https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA250890

Addressing Over-Fitting in Passive Constraint Acquisition Through Active Learning

Published in In the proceedings of the 19th International Conference on Learning and Intelligent Optimization (LION 2025), 2025

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Recommended citation: Vasileios Balafas, Dimos Tsouros, Nikolaos Ploskas, Kostas Stergiou, "Addressing Over-Fitting in Passive Constraint Acquisition Through Active Learning." In the proceedings of the 19th International Conference on Learning and Intelligent Optimization (LION 2025), 233-249, 2025.

The Impact of Solution Diversity on Passive Constraint Acquisition

Published in In the proceedings of the 13th Hellenic Conference on Artificial Intelligence (SETN 2024), 2024

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Recommended citation: Vasileios Balafas, Dimos Tsouros, Nikolaos Ploskas, Kostas Stergiou, "The Impact of Solution Diversity on Passive Constraint Acquisition." In the proceedings of the 13th Hellenic Conference on Artificial Intelligence (SETN 2024), 2024. https://lirias.kuleuven.be/retrieve/46c19c63-c3f5-4187-a7aa-93a9be00d91c

Mutational Fuzz Testing for Constraint Modeling Systems

Published in In the proceedings of 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), 2024

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Recommended citation: Wout Vanroose, Ignace Bleukx, Jo Devriendt, Dimos Tsouros, Hélène Verhaeghe, Tias Guns, "Mutational Fuzz Testing for Constraint Modeling Systems." In the proceedings of the 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), 2024. https://drops.dagstuhl.de/storage/00lipics/lipics-vol307-cp2024/LIPIcs.CP.2024.29/LIPIcs.CP.2024.29.pdf

Constraint Modelling with LLMs Using In-Context Learning

Published in In the proceedings of 30th International Conference on Principles and Practice of Constraint Programming, 2024

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Recommended citation: Kostis Michailidis, Dimos Tsouros, Tias Guns, "Constraint Modelling with LLMs Using In-Context Learning." In the proceedings of 30th International Conference on Principles and Practice of Constraint Programming, 2024. https://drops.dagstuhl.de/storage/00lipics/lipics-vol307-cp2024/LIPIcs.CP.2024.20/LIPIcs.CP.2024.20.pdf

A CP/LS Heuristic Method for Maxmin and Minmax Location Problems with Distance Constraints

Published in In the proceedings of 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), 2024

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Recommended citation: Panteleimon Iosif, Nikolaos Ploskas, Kostas Stergiou, Dimosthenis Tsouros, "A CP/LS Heuristic Method for Maxmin and Minmax Location Problems with Distance Constraints." In the proceedings of 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), 2024. https://drops.dagstuhl.de/storage/00lipics/lipics-vol307-cp2024/LIPIcs.CP.2024.14/LIPIcs.CP.2024.14.pdf

Efficient Modeling of Half-reified Global Constraints

Published in In the proceedings of the 23rd workshop on Constraint Modelling and Reformulation (ModRef 2024), Girona, Spain, 2024

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Recommended citation: Ignace Bleukx, Hélène Verhaeghe, Dimos Tsouros, Tias Guns, "Efficient Modeling of Half-reified Global Constraints." In the proceedings of the 23rd workshop on Constraint Modelling and Reformulation (ModRef 2024), Girona, Spain, 2024. https://modref.github.io/papers/ModRef2024_EfficientModelingofHalfreifiedGlobalConstraints.pdf

Enhancing Constraint Acquisition through Hybrid Learning: An Integration of Passive and Active Learning Strategies

Published in International Journal on Artificial Intelligence Tools, 2024

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Recommended citation: Vasileios Balafas, Dimosthenis C. Tsouros, Nikolaos Ploskas, Kostas Stergiou, "Enhancing Constraint Acquisition through Hybrid Learning: An Integration of Passive and Active Learning Strategies." International Journal on Artificial Intelligence Tools, 33(06), 2450020, 2024. http://users.uowm.gr/nploskas/papers/ijait24.pdf

The p-Dispersion Problem with Distance Constraints

Published in In the proceedings of 29th International Conference on Principles and Practice of Constraint Programming (CP 2023), 2023

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Recommended citation: Nikolaos Ploskas, Kostas Stergiou, Dimosthenis Tsouros, "The p-Dispersion Problem with Distance Constraints." In the proceedings of 29th International Conference on Principles and Practice of Constraint Programming (CP 2023), 2023. https://drops.dagstuhl.de/storage/00lipics/lipics-vol280-cp2023/LIPIcs.CP.2023.29/LIPIcs.CP.2023.29.pdf

Guided Bottom-Up Interactive Constraint Acquisition

Published in In the proceedings of 29th International Conference on Principles and Practice of Constraint Programming (CP 2023), 2023

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Recommended citation: Dimos Tsouros, Senne Berden, Tias Guns, "Guided Bottom-Up Interactive Constraint Acquisition." In the proceedings of 29th International Conference on Principles and Practice of Constraint Programming (CP 2023), 2023. https://drops.dagstuhl.de/storage/00lipics/lipics-vol280-cp2023/LIPIcs.CP.2023.36/LIPIcs.CP.2023.36.pdf

Breaking Constraint Modelling Languages with Metamorphic Testing

Published in In the proceedings of the 22nd workshop on Constraint Modelling and Reformulation (ModRef 2023), Toronto, Canada, 2023

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Recommended citation: Ignace Bleukx, Wout Vanroose, Jo Devriendt, Dimos Tsouros, Hélène Verhaeghe, Tias Guns, "Breaking Constraint Modelling Languages with Metamorphic Testing." In the proceedings of the 22nd workshop on Constraint Modelling and Reformulation (ModRef 2023), Toronto, Canada, 2023.

Learning constraint models from data

Published in In the proceedings of the AAAI 2023 Bridge on Constraint Programming and Machine Learning (CPML), 2023

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Recommended citation: Dimosthenis Tsouros, Tias Guns, Kostas Stergiou, "Learning constraint models from data." In the proceedings of the AAAI 2023 Bridge on Constraint Programming and Machine Learning (CPML), 2023.

UAV saffran monitoring process

Published in In the proceedings of 2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST), 2022

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Recommended citation: Konstantinos Kiropoulos, Foteini Dimaraki, Dimosthenis Tsouros, Stamatia Bibi, "UAV saffran monitoring process." In the proceedings of 2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST), 2022.

Learning max-csps via active constraint acquisition

Published in In the proceedings of 27th International Conference on Principles and Practice of Constraint Programming (CP 2021), 2021

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Recommended citation: Dimosthenis Tsouros, Kostas Stergiou, "Learning max-csps via active constraint acquisition." In the proceedings of 27th International Conference on Principles and Practice of Constraint Programming (CP 2021), 2021. https://drops.dagstuhl.de/storage/00lipics/lipics-vol210-cp2021/LIPIcs.CP.2021.54/LIPIcs.CP.2021.54.pdf

Towards a Fully Open-Source System for Monitoring of Crops with UAVs in Precision Agriculture

Published in In the proceedings of the 24th Pan-Hellenic Conference on Informatics, 2020

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Recommended citation: Dimosthenis Tsouros, Anastasia Terzi, Stamatia Bibi, Fotini Vakouftsi, Vassilis Pantzios, "Towards a Fully Open-Source System for Monitoring of Crops with UAVs in Precision Agriculture." In the proceedings of the 24th Pan-Hellenic Conference on Informatics, 2020.

Omissions in constraint acquisition

Published in In the proceedings of Principles and Practice of Constraint Programming: 26th International Conference, CP 2020, Louvain-la-Neuve, Belgium, September 7--11, 2020, Proceedings 26, 2020

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Recommended citation: Dimosthenis Tsouros, Kostas Stergiou, Christian Bessiere, "Omissions in constraint acquisition." In the proceedings of Principles and Practice of Constraint Programming: 26th International Conference, CP 2020, Louvain-la-Neuve, Belgium, September 7--11, 2020, Proceedings 26, 2020. https://www.lirmm.fr/~bessiere/Site/stock/cp20.pdf

Automated assessment of pain intensity based on EEG signal analysis

Published in In the proceedings of 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), 2019

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Recommended citation: Panagiotis Bonotis, Dimosthenis Tsouros, Panagiotis Smyrlis, Alexandros Tzallas, Nikolaos Giannakeas, Evripidis Glavas, Markos Tsipouras, "Automated assessment of pain intensity based on EEG signal analysis." In the proceedings of 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), 2019.

Structure-driven multiple constraint acquisition

Published in In the proceedings of Principles and Practice of Constraint Programming: 25th International Conference, CP 2019, Stamford, CT, USA, September 30--October 4, 2019, Proceedings 25, 2019

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Recommended citation: Dimosthenis Tsouros, Kostas Stergiou, Christian Bessiere, "Structure-driven multiple constraint acquisition." In the proceedings of Principles and Practice of Constraint Programming: 25th International Conference, CP 2019, Stamford, CT, USA, September 30--October 4, 2019, Proceedings 25, 2019. https://www.lirmm.fr/~bessiere/Site/stock/cp19.pdf

Data acquisition and analysis methods in UAV-based applications for Precision Agriculture

Published in In the proceedings of 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), 2019

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Recommended citation: Dimosthenis Tsouros, Anna Triantafyllou, Stamatia Bibi, Panagiotis Sarigiannidis, "Data acquisition and analysis methods in UAV-based applications for Precision Agriculture." In the proceedings of the 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), 2019.

An architecture model for smart farming

Published in In the proceedings of 2019 15th International conference on distributed computing in sensor systems (DCOSS), 2019

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Recommended citation: Anna Triantafyllou, Dimosthenis Tsouros, Panagiotis Sarigiannidis, Stamatia Bibi, "An architecture model for smart farming." In the proceedings of 2019 15th International conference on distributed computing in sensor systems (DCOSS), 2019.

Random forests with stochastic induction of decision trees

Published in In the proceedings of 2018 IEEE 30th international conference on tools with artificial intelligence (ICTAI), 2018

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Recommended citation: Markos Tsipouras, Dimosthenis Tsouros, Panagiotis Smyrlis, Nikolaos Giannakeas, Alexandros Tzallas, "Random forests with stochastic induction of decision trees." In the proceedings of 2018 IEEE 30th international conference on tools with artificial intelligence (ICTAI), 2018.

Efficient methods for constraint acquisition

Published in In the proceedings of Principles and Practice of Constraint Programming: 24th International Conference, CP 2018, Lille, France, August 27-31, 2018, Proceedings 24, 2018

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Recommended citation: Dimosthenis Tsouros, Kostas Stergiou, Panagiotis Sarigiannidis, "Efficient methods for constraint acquisition." In the proceedings of Principles and Practice of Constraint Programming: 24th International Conference, CP 2018, Lille, France, August 27-31, 2018, Proceedings 24, 2018.

Parallelization and energy evaluation of interframe compression technique for video images QSDPCM

Published in In the proceedings of 2017 27th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS), 2017

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Recommended citation: Panagiotis Smyrlis, Dimosthenis Tsouros, Minas Dasygenis, "Parallelization and energy evaluation of interframe compression technique for video images QSDPCM." In the proceedings of 2017 27th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS), 2017.

Automated collagen proportional area extraction in liver biopsy images using a novel classification via clustering algorithm

Published in In the proceedings of 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), 2017

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Recommended citation: Dimosthenis Tsouros, Panagiotis Smyrlis, Markos Tsipouras, Dimitrios Tsalikakis, Nikolaos Giannakeas, Alexandros Tzallas, Pinelopi Manousou, "Automated collagen proportional area extraction in liver biopsy images using a novel classification via clustering algorithm." In the proceedings of 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), 2017.