28 citations · 34 across the 3 of their papers we have counts for
8 papers
An aggregate learning approach for interpretable semi-supervised population prediction and disaggregation using ancillary data
Guillaume Derval, Frédéric Docquier, Pierre Schaus
Census data provide detailed information about population characteristics at a coarse resolution. Nevertheless, fine-grained, high-resolution mappings of population counts are incr…
REPETITA: Repeatable Experiments for Performance Evaluation of Traffic-Engineering Algorithms
Steven Gay, Pierre Schaus, Stefano Vissicchio
In this paper, we propose a pragmatic approach to improve reproducibility of experimental analyses of traffic engineering (TE) algorithms, whose implementation, evaluation and comp…
Mining a Sub-Matrix of Maximal Sum
Vincent Branders, Pierre Schaus, Pierre Dupont
Biclustering techniques have been widely used to identify homogeneous subgroups within large data matrices, such as subsets of genes similarly expressed across subsets of patients.…
A Visual Web Tool to Perform What-If Analysis of Optimization Approaches
Sascha Van Cauwelaert, Michele Lombardi, Pierre Schaus
In Operation Research, practical evaluation is essential to validate the efficacy of optimization approaches. This paper promotes the usage of performance profiles as a standard pr…
Compact-Table: Efficiently Filtering Table Constraints with Reversible Sparse Bit-Sets
Jordan Demeulenaere, Renaud Hartert, Christophe Lecoutre +4
In this paper, we describe Compact-Table (CT), a bitwise algorithm to enforce Generalized Arc Consistency (GAC) on table con- straints. Although this algorithm is the default propa…
Parallel Strategies Selection
Anthony Palmieri, Jean-Charles Régin, Pierre Schaus
We consider the problem of selecting the best variable-value strategy for solving a given problem in constraint programming. We show that the recent Embarrassingly Parallel Search…