Matthias Bogaert

According to our database, Matthias Bogaert authored at least 19 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Ensemble learning for operations research and business analytics.

Koen W. De Bock, Matthias Bogaert, Philippe du Jardin

Ann. Oper. Res., October, 2025

LLM-Assisted Topic Reduction for BERTopic on Social Media Data.

Wannes Janssens, Matthias Bogaert, Dirk Van den Poel

CoRR, September, 2025

Predicting and Explaining Customer Data Sharing in the Open Banking.

João B. G. de Brito, Rodrigo Heldt, Cleo S. Silveira, Matthias Bogaert, Guilherme B. Bucco, Fernando B. Luce, João L. Becker, Filipe J. Zabala, Michel J. Anzanello

CoRR, July, 2025

PerfoRank: cluster-based performance ranking for improved performance evaluation and estimation in professional cycling.

Bram Janssens, Matthias Bogaert

Mach. Learn., January, 2025

Evaluating the stability of model explanations in instance-dependent cost-sensitive credit scoring.

Matteo Ballegeer, Matthias Bogaert, Dries F. Benoit

Eur. J. Oper. Res., 2025

2024

B2Boost: instance-dependent profit-driven modelling of B2B churn.

Bram Janssens, Matthias Bogaert, Astrid Bagué, Dirk Van den Poel

Ann. Oper. Res., October, 2024

Correction: Predicting the next Pogačar: a data analytical approach to detect young professional cycling talents.

Bram Janssens, Matthias Bogaert, Mathijs Maton

Ann. Oper. Res., January, 2024

360 Degrees rumor detection: When explanations got some explaining to do.

Bram Janssens, Lisa Schetgen, Matthias Bogaert, Matthijs Meire, Dirk Van den Poel

Eur. J. Oper. Res., 2024

Geospatial Road Cycling Race Results Data Set.

Bram Janssens, Luca Pappalardo, Jelle De Bock, Matthias Bogaert, Steven Verstockt

CoRR, 2024

2023

Predicting the next Pogačar: a data analytical approach to detect young professional cycling talents.

Bram Janssens, Matthias Bogaert, Mathijs Maton

Ann. Oper. Res., June, 2023

Bike2Vec: Vector Embedding Representations of Road Cycling Riders and Races.

Ethan Baron, Bram Janssens, Matthias Bogaert

CoRR, 2023

2021

Predicting donation behavior: Acquisition modeling in the nonprofit sector using Facebook data.

Lisa Schetgen, Matthias Bogaert, Dirk Van den Poel

Decis. Support Syst., 2021

Box office sales and social media: A cross-platform comparison of predictive ability and mechanisms.

Matthias Bogaert, Michel Ballings, Dirk Van den Poel, Asil Oztekin

Decis. Support Syst., 2021

Predicting Self-declared Movie Watching Behavior Using Facebook Data and Information-Fusion Sensitivity Analysis.

Matthias Bogaert, Michel Ballings, Rob Bergmans, Dirk Van den Poel

Decis. Sci., 2021

Imputation of Non-participated Race Results.

Bram Janssens, Matthias Bogaert

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2021

2019

Evaluating multi-label classifiers and recommender systems in the financial service sector.

Matthias Bogaert, Justine Lootens, Dirk Van den Poel, Michel Ballings

Eur. J. Oper. Res., 2019

2018

Evaluating the importance of different communication types in romantic tie prediction on social media.

Matthias Bogaert, Michel Ballings, Dirk Van den Poel

Ann. Oper. Res., 2018

2017

Identifying Soccer Players on Facebook Through Predictive Analytics.

Matthias Bogaert, Michel Ballings, Martijn Hosten, Dirk Van den Poel

Decis. Anal., 2017

2016

The added value of Facebook friends data in event attendance prediction.

Matthias Bogaert, Michel Ballings, Dirk Van den Poel

Decis. Support Syst., 2016