Guillaume Derval

16 papers A* 1B 4Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Aperiodic Tiling and Rhythmic Canons: A CP Journey.
AAAI
Guillaume Derval, Christophe Lecoutre
2026 J jnl
ICLF: An Immersive Code Learning Framework based on Git for Teaching and Evaluating Student Programming Projects.
CoRR
Pierre Schaus, Guillaume Derval, Augustin Delecluse
2025 J jnl
A Unified Definition of Hosting Capacity, Applications, and Review.
IEEE Access
Amina Benzerga, Alireza Bahmanyar, Guillaume Derval, Damien Ernst
2025 J jnl
Efficient LP warmstarting for linear modifications of the constraint matrix.
CoRR
Guillaume Derval, Bardhyl Miftari, Damien Ernst, Quentin Louveaux
2024 J jnl
GBOML: a structure-exploiting optimization modelling language in Python.
Optim. Methods Softw.
Bardhyl Miftari, Mathias Berger, Guillaume Derval, Quentin Louveaux, Damien Ernst
2024 J jnl
Optimal Control of Renewable Energy Communities subject to Network Peak Fees with Model Predictive Control and Reinforcement Learning Algorithms.
CoRR
Samy Aittahar, Adrien Bolland, Guillaume Derval, Damien Ernst
2022 J jnl
Maximal-Sum submatrix search using a hybrid contraint programming/linear programming approach.
Eur. J. Oper. Res.
Guillaume Derval, Pierre Schaus
2022 B conf
Optimal Decoding of Hidden Markov Models with Consistency Constraints.
DS
Alexandre Dubray, Guillaume Derval, Siegfried Nijssen, Pierre Schaus
2021 — —
Finding maximum sum submatrices.
Guillaume Derval
2020 B conf
Mining Constrained Regions of Interest: An Optimization Approach.
DS
Alexandre Dubray, Guillaume Derval, Siegfried Nijssen, Pierre Schaus
2019 — conf
An Aggregate Learning Approach for Interpretable Semi-Supervised Population Prediction and Disaggregation Using Ancillary Data.
BNAIC/BENELEARN
Guillaume Derval, Frédéric Docquier, Pierre Schaus
2019 — conf
An Aggregate Learning Approach for Interpretable Semi-supervised Population Prediction and Disaggregation Using Ancillary Data.
ECML/PKDD (3)
Guillaume Derval, Frédéric Docquier, Pierre Schaus
2019 J jnl
An aggregate learning approach for interpretable semi-supervised population prediction and disaggregation using ancillary data.
CoRR
Guillaume Derval, Frédéric Docquier, Pierre Schaus
2019 B conf
Mining a Maximum Weighted Set of Disjoint Submatrices.
DS
Vincent Branders, Guillaume Derval, Pierre Schaus, Pierre Dupont
2019 B conf
The Maximum Weighted Submatrix Coverage Problem: A CP Approach.
CPAIOR
Guillaume Derval, Vincent Branders, Pierre Dupont, Pierre Schaus
2018 J jnl
Improved filtering for the bin-packing with cardinality constraint.
Constraints An Int. J.
Guillaume Derval, Jean-Charles Régin, Pierre Schaus