2024

Conference papers

Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala. Probabilistic Dataset Reconstruction from Interpretable Models. 2nd IEEE Conference on Secure and Trustworthy Machine Learning, Apr 2024, Toronto, Canada. ⟨10.1109/SaTML59370.2024.00009⟩. ⟨hal-04189566v2⟩

Preprints, Working Papers, ...

Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala. Taming the Triangle: On the Interplays between Fairness, Interpretability and Privacy in Machine Learning. 2024. ⟨hal-04359832v2⟩

2023

Journal articles

Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala. Improving Fairness Generalization Through a Sample-Robust Optimization Method. Machine Learning, 2023, Special Issue on Safe and Fair Machine Learning, 112 (6), pp.2131-2192. ⟨10.1007/s10994-022-06191-y⟩. ⟨hal-03709547⟩

Conference papers

Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala. Exploiter l'équité d'un modèle d'apprentissage pour reconstruire les attributs sensibles de son ensemble d'entraînement. Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA/PFIA 2023), Jul 2023, Strasbourg, France. ⟨hal-04190265⟩

Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala. Exploiting Fairness to Enhance Sensitive Attributes Reconstruction. First IEEE Conference on Secure and Trustworthy Machine Learning, Feb 2023, Raleigh, North Carolina, United States. ⟨10.1109/SaTML54575.2023.00012⟩. ⟨hal-03766710v2⟩

2022

Conference papers

Julien Ferry, Ulrich Aïvodji, Sebastien Gambs, Marie-José Huguet, Mohamed Siala. Concilier l'équité statistique et la précision en apprentissage machine interprétable grâce à la PLNE. 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France. ⟨hal-03595267⟩

Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala. Leveraging Integer Linear Programming to Learn Optimal Fair Rule Lists. 19th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR-2022), Jun 2022, Los Angeles, CA, United States. ⟨hal-03602234⟩

Hao Hu, Marie-José Huguet, Mohamed Siala. Optimizing Binary Decision Diagrams with MaxSAT for Classification. 36th AAAI Conference on Artificial Intelligence, Feb 2022, Vancouver, Canada. ⟨hal-03667549⟩

2021

Conference papers

Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala. FairCORELS, an Open-Source Library for Learning Fair Rule Lists. ACM International Conference on Information and Knowledge Management, Virtual Event, Nov 2021, Queensland, Australia. pp.4665-4669, ⟨10.1145/3459637.3481965⟩. ⟨hal-03427276⟩

Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala. Améliorer la généralisation de l'équité en apprentissage grâce à l'Optimisation Distributionnellement Robuste. Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA/PFIA 2021), Jul 2021, Bordeaux (virtual), France. ⟨hal-03249522⟩

2020

Journal articles

Mark Antunes, Vincent Armant, Kenneth Brown, Daniel Desmond, Guillaume Escamocher, et al.. Assigning and Scheduling Service Visits in a Mixed Urban/Rural Setting. International Journal on Artificial Intelligence Tools, 2020, 29 (03n04), pp.2060007. ⟨10.1142/S0218213020600076⟩. ⟨hal-02890264⟩

Conference papers

Hao Hu, Mohamed Siala, Emmanuel Hébrard, Marie-José Huguet. Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost. IJCAI-PRICAI 2020, 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence, Jul 2020, Yokohama, Japan. ⟨hal-02740415⟩

Alexey Ignatiev, Martin Cooper, Mohamed Siala, Emmanuel Hébrard, Joao Marques-Silva. Towards Formal Fairness in Machine Learning. 26th International Conference on Principles and Practice of Constraint Programming (CP 2020), Sep 2020, Louvain (online), Belgium. pp.846-867, ⟨10.1007/978-3-030-58475-7_49⟩. ⟨hal-02950860⟩

2019

Journal articles

Begum Genc, Mohamed Siala, Gilles Simonin, Barry O'Sullivan. Complexity Study for the Robust Stable Marriage Problem. Theoretical Computer Science, 2019, 775, pp.76-92. ⟨10.1016/j.tcs.2018.12.017⟩. ⟨hal-01974431⟩

Mohamed Siala, Barry O'Sullivan. Combinatorial Search from an Energy Perspective. Information Processing Letters, 2019, 148, pp.23-27. ⟨10.1016/j.ipl.2019.04.002⟩. ⟨hal-02120041⟩

Conference papers

Begum Genc, Mohamed Siala, Gilles Simonin, Barry O'Sullivan. An Approach to Robustness in the Stable Roommates Problem and its Comparison with the Stable Marriage Problem. Sixteenth International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, Jun 2019, Thessaloniki, Greece. ⟨10.1007/978-3-030-19212-9_21⟩. ⟨hal-02062127⟩

Reports

Dimitri Peaucelle, Marie-José Huguet, Yannick Pencolé, Christian Artigues, Emmanuel Hébrard, et al.. Bilan et prospectives 2019 du département Décision & Optimisation du LAAS-CNRS. 2019. ⟨hal-02295816⟩

Preprints, Working Papers, ...

Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala. Learning Fair Rule Lists. 2019. ⟨hal-03248831⟩

2017

Conference papers

Begum Genc, Mohamed Siala, Gilles Simonin, Barry O ' Sullivan. Finding Robust Solutions to Stable Marriage. IJCAI 2017, Aug 2017, Melbourne, Australia. ⟨10.24963/ijcai.2017/88⟩. ⟨hal-01689897⟩

Emmanuel Hébrard, Mohamed Siala. Explanation-Based Weighted Degree. CPAIOR, Jun 2017, Padoue, Italy. 9p. ⟨hal-01670307⟩

Begum Genc, Mohamed Siala, Gilles Simonin, Barry O ' Sullivan. On the Complexity of Robust Stable Marriage. COCOA 2017 11th Annual International Conference on Combinatorial Optimization and Applications , Dec 2017, Shanghai, China. ⟨10.1007/978-3-319-71147-8_30⟩. ⟨hal-01689884⟩

Begum Genc, Mohamed Siala, Barry O ' Sullivan, Gilles Simonin. Robust Stable Marriage. AAAI - 17, Feb 2017, San Francisco, United States. pp.4925-4926, ⟨10.1609/aaai.v31i1.11107⟩. ⟨hal-01689852⟩

Wafa Khrouf, Zeineb Hraiech, Fatma Abdelkefi, Mohamed Siala, Matthieu Crussière. On the Joint Use of Time Reversal and POPS-OFDM for 5G Systems. VTC Fall IEEE 86th Vehicular Technology Conference, Sep 2017, Toronto, Canada. ⟨hal-01763320⟩

2016

Journal articles

Nina Narodytska, Thierry Petit, Mohamed Siala, Toby Walsh. Three generalizations of the FOCUS constraint. Constraints, 2016, 21 (4), pp.459-532. ⟨10.1007/s10601-015-9233-7⟩. ⟨hal-01238445⟩

Conference papers

Danuta Sorina Chisca, Mohamed Siala, Gilles Simonin, Barry O ' Sullivan. A CP-Based Approach to Popular Matching. AAAI 2016, Feb 2016, Phoenix, United States. ⟨hal-01689926⟩

2015

Journal articles

Mohamed Siala, Emmanuel Hébrard, Marie-José Huguet. A study of constraint programming heuristics for the car-sequencing problem. Engineering Applications of Artificial Intelligence, 2015, 38, pp.34 - 44. ⟨10.1016/j.engappai.2014.10.009⟩. ⟨hal-01084239⟩

Conference papers

Zeineb Hraiech, Fatma Abdelkefi, Mohamed Siala, Walid Ben-Ameur. Characterization of Ping-Pong Optimized Pulse Shaping-OFDM (POPS-OFDM) for 5G systems. VTC Spring 2015 : 81st Vehicular Technology Conference, May 2015, Glascow, United Kingdom. pp.1 - 6, ⟨10.1109/VTCSpring.2015.7145741⟩. ⟨hal-01265526⟩

Mohamed Siala, Christian Artigues, Emmanuel Hébrard. Two Clause Learning Approaches for Disjunctive Scheduling. Principles and Practice of Constraint Programming, Aug 2015, Cork, Ireland. pp.393-402, ⟨10.1007/978-3-319-23219-5_28⟩. ⟨hal-01229050⟩

Ahlem Khlass, Yacine Ghamri-Doudane, Mohamed Siala. Network connectivity and capacity improvement in cooperative vehicular networks using distributed network coding . 6th International Conference on Network of the Future, NoF 2015, Sep 2015, Montréal, Canada. ⟨hal-01378142⟩

PhD thesis, HDR

Mohamed Siala. Search, propagation, and learning in sequencing and scheduling problems. Artificial Intelligence [cs.AI]. INSA de Toulouse, 2015. English. ⟨NNT : 2015ISAT0008⟩. ⟨tel-01164291v2⟩