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11/22/2022
Branch-and-Bound with Barrier: Dominance and Suboptimality Detection for DD-Based Branch-and-Bound
The branch-and-bound algorithm based on decision diagrams introduced by ...
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04/24/2021
Improving the filtering of Branch-And-Bound MDD solver (extended)
This paper presents and evaluates two pruning techniques to reinforce th...
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12/04/2020
Impact of weather factors on migration intention using machine learning algorithms
A growing attention in the empirical literature has been paid to the inc...
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06/05/2020
Using an interpretable Machine Learning approach to study the drivers of International Migration
Globally increasing migration pressures call for new modelling approache...
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05/20/2020
An LSTM approach to Predict Migration based on Google Trends
Being able to model and predict international migration as precisely as ...
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06/29/2019
An aggregate learning approach for interpretable semi-supervised population prediction and disaggregation using ancillary data
Census data provide detailed information about population characteristic...
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07/11/2018
Testing Global Constraints
Every Constraint Programming (CP) solver exposes a library of constraint...
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10/24/2017
REPETITA: Repeatable Experiments for Performance Evaluation of Traffic-Engineering Algorithms
In this paper, we propose a pragmatic approach to improve reproducibilit...
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09/25/2017
Mining a Sub-Matrix of Maximal Sum
Biclustering techniques have been widely used to identify homogeneous su...
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03/16/2017
A Visual Web Tool to Perform What-If Analysis of Optimization Approaches
In Operation Research, practical evaluation is essential to validate the...
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04/05/2016