268 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université de MontréalCA14 papers
- Polytechnique MontréalCA10 papers
- McGill UniversityCA5 papers
- Mila - Quebec Artificial Intelligence InstituteCA4 papers
- Cornell TechUS2 papers
- INESC TECPT2 papers
- Pontifícia Universidade Católica do Rio de JaneiroBR2 papers
- Universidade do PortoPT2 papers
- Cornell UniversityUS1 paper
- Département d'InformatiqueFR1 paper
- Group for Research in Decision AnalysisCA1 paper
- Hydro-QuébecCA1 paper
5 papers · 1 filter
Computing Nash equilibria for integer programming games
Margarida Carvalho, Andrea Lodi, João Pedro Pedroso
The recently defined class of integer programming games (IPG) models situations where multiple self-interested decision makers interact, with their strategy sets represented by a f…
Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood
Thibaut Vidal
The vehicle routing problem is one of the most studied combinatorial optimization topics, due to its practical importance and methodological interest. Yet, despite extensive method…
Incorporating travel behavior regularity into passenger flow forecasting
Zhanhong Cheng, Martin Trepanier, Lijun Sun
Accurate forecasting of passenger flow (i.e., ridership) is critical to the operation of urban metro systems. Previous studies mainly model passenger flow as time series by aggrega…
Segmentation and Optimal Region Selection of Physiological Signals using Deep Neural Networks and Combinatorial Optimization
Jorge Oliveira, Margarida Carvalho, Diogo Marcelo Nogueira +1
Physiological signals, such as the electrocardiogram and the phonocardiogram are very often corrupted by noisy sources. Usually, artificial intelligent algorithms analyze the signa…
Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming
Mostafa ElAraby, Guy Wolf, Margarida Carvalho
We introduce a mixed integer program (MIP) for assigning importance scores to each neuron in deep neural network architectures which is guided by the impact of their simultaneous p…