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- Guillaume Derval
Guillaume Derval
Chargé de cours invité
Derval, Guillaume ; Schaus, Pierre. Maximal-Sum submatrix search using a hybrid contraint programming/linear programming approach. In: European Journal of Operational Research, (2021). doi:10.1016/j.ejor.2021.06.008.
Derval, Guillaume ; Régin, Jean-Charles ; Schaus, Pierre. Improved filtering for the bin-packing with cardinality constraint. In: Constraints, Vol. 23, p. 251–271 (2018). doi:10.1007/s10601-017-9278-x.
Derval, Guillaume ; Branders, Vincent ; Dupont, Pierre ; Schaus, Pierre. The Maximum Weighted Submatrix Coverage Problem: A CP Approach. In: Louis-Martin Rousseau, Kostas Stergiou, Integration of Constraint Programming, Artificial Intelligence, and Operations Research : Lecture Notes in Computer Science (Lecture Notes in Computer Science; 11494), Springer, Cham, 2019, p. 258-274. 978-3-030-19212-9. doi:10.1007/978-3-030-19212-9_17.
Dubray, Alexandre ; Derval, Guillaume ; Nijssen, Siegfried ; Schaus, Pierre. Optimal Decoding of Hidden Markov Models With Consistency Constraints. International Conference on Discovery Science (Montpellier, France, du 10/10/2022 au 12/10/2022). In: Proceedings of the 25th International Conference on Discovery Science, (2022).
Dubray, Alexandre ; Derval, Guillaume ; Nijssen, Siegfried ; Schaus, Pierre. Mining Constrained Regions of Interest: An Optimization Approach. Discovery Science 2020 (du 19/10/2020 au 21/10/2020). In: Proceedings Discovery Science 2020, (2020).
Derval, Guillaume ; François-Lavet, Vincent ; Schaus, Pierre. Nowcasting COVID-19 hospitalizations using Google Trends and LSTM. AI4SG (du 20/07/2020 au 21/07/2020). In: AI4SG 2020 (Accepté/Sous presse).
Derval, Guillaume ; Docquier, Frédéric ; Schaus, Pierre. An aggregate learning approach for interpretable semi-supervised population prediction and disaggregation using ancillary data. ECMLPKDD The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (Würzburg, Germany, du 16/09/2019 au 20/12/2019). In: Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2019., Vol. Lecture Notes in Computer Science, no. 11908.
Branders, Vincent ; Derval, Guillaume ; Schaus, Pierre ; Dupont, Pierre. Mining a Maximum Weighted Set of Disjoint Submatrices. Discovery Science. In: Discovery Science : Lecture Notes in Computer Science (LNCS), Springer, 2019. 9783030337773, p. 18-28. doi:10.1007/978-3-030-33778-0_2.
Derval, Guillaume ; Schaus, Pierre. Embarrassingly Parallel Search Reengineered. Doctoral Program of the 22nd International Conference on Principles and Practice of Constraint Programming (CP 2016) (Toulouse, France, du 05/09/2016 au 09/09/2016). In: "Doctoral Program of the 22nd International Conference on Principles and Practice of Constraint Programming (CP 2016)", Toulouse.
Derval, Guillaume ; Gego, Anthony ; Reinbold, Pierre ; Frantzen, Benjamin ; Van Roy, Peter. Automatic Grading of Programming Exercises in a MOOC Using the INGInious Platform.. EMOOCS 2015 (Third MOOC European Stakeholders Summit) (Mons, Belgium, du 18/05/2015 au 20/05/2015).
Van Roy, Peter ; Derval, Guillaume ; Frantzen, Benjamin ; Gego, Anthony ; Reinbold, Pierre. Automatic grading of programming exercises in a MOOC using the INGInious platform. European MOOC Stakeholder Summit 2015 (EMOOCs 2015) (Mons, du 18/05/2015 au 20/05/2015). In: EMOOCs 2015 Proceedings Papers, 2015.
Derval, Guillaume. Finding maximum sum submatrices, prom. : Schaus, Pierre, 10/12/2021.
Cédric de Bontridder ; Céline Everaert ; Derval, Guillaume ; Schaus, Pierre. Impact du réseau de transport en commun sur les critères du décret Inscription, 2022.
Dubray, Alexandre ; Derval, Guillaume ; Nijssen, Siegfried ; Schaus, Pierre. On The Complexity of the Shortest Path Problem in a Layered Directed Acyclic Graph with Consistency Constraints, 2022.