18 citations · 21 across the 5 of their papers we have counts for
7 papers
Impact of weather factors on migration intention using machine learning algorithms
John Aoga, Juhee Bae, Stefanija Veljanoska +2
A growing attention in the empirical literature has been paid to the incidence of climate shocks and change in migration decisions. Previous literature leads to different results a…
Using an interpretable Machine Learning approach to study the drivers of International Migration
Harold Silvère Kiossou, Yannik Schenk, Frédéric Docquier +3
Globally increasing migration pressures call for new modelling approaches in order to design effective policies. It is important to have not only efficient models to predict migrat…
Stochastic Constraint Optimization using Propagation on Ordered Binary Decision Diagrams
Anna L. D. Latour, Behrouz Babaki, Siegfried Nijssen
A number of problems in relational Artificial Intelligence can be viewed as Stochastic Constraint Optimization Problems (SCOPs). These are constraint optimization problems that inv…
The Inductive Constraint Programming Loop
Christian Bessiere, Luc De Raedt, Tias Guns +7
Constraint programming is used for a variety of real-world optimisation problems, such as planning, scheduling and resource allocation problems. At the same time, one continuously…
A Revised Publication Model for ECML PKDD
Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen +1
ECML PKDD is the main European conference on machine learning and data mining. Since its foundation it implemented the publication model common in computer science: there was one c…
Pattern-Based Classification: A Unifying Perspective
Björn Bringmann, Siegfried Nijssen, Albrecht Zimmermann
The use of patterns in predictive models is a topic that has received a lot of attention in recent years. Pattern mining can help to obtain models for structured domains, such as g…
Mining Patterns in Networks using Homomorphism
Anton Dries, Siegfried Nijssen
In recent years many algorithms have been developed for finding patterns in graphs and networks. A disadvantage of these algorithms is that they use subgraph isomorphism to determi…