Research Explorer

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Researcher

Matthias Bogaert

Publications & Research Data

Awards & Distinctions

50 Results

2026

A coevolutionary approach for optimizing interpretable rule ensembles

Simon De LangeMatthias BogaertKoen W. De BockDirk Van den Poel

A coevolutionary approach to optimizing interpretable rule ensembles

Simon De LangeMatthias BogaertKoen De BockDirk Van den Poel

2025

A comparative analysis of topic reduction techniques for BERTopic

Wannes JanssensMatthias BogaertDirk Van den Poel

A1 Journal Article in IEEE ACCESS

Customer experiences and coping behaviors during crisis situations : the role of service adaptation and service transformation

Bart LarivièreLisa SchetgenMatthias BogaertDirk Van den Poel

A1 Journal Article in JOURNAL OF BUSINESS RESEARCH

Empulse : a unifying framework for profit-driven and cost-sensitive learning in Python

Shimanto RahmanBram JanssensMatthias Bogaert

Ensemble learning for operations research and business analytics

Koen W. De BockMatthias BogaertPhilippe du Jardin

A1 Journal Article in ANNALS OF OPERATIONS RESEARCH

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

Matteo BallegeerMatthias BogaertDries Benoit

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

Matteo BallegeerMatthias BogaertDries Benoit

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Large language models on race commentary : towards granular data in cycling analytics

Bram JanssensMatthias BogaertSteven Verstockt

Leveraging sensor data for fault detection in split-system air conditioners

Yaël De RockerMatthias BogaertDirk Van den Poel

LLM-assisted topic reduction for BERTopic on social media data

Wannes JanssensMatthias BogaertDirk Van den Poel

Making sense of BERTopic : a deep dive into topic reduction techniques

Wannes JanssensMatthias BogaertDirk Van den Poel

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

Bram JanssensMatthias Bogaert

A1 Journal Article in MACHINE LEARNING

Predicting and explaining post-repair machine failures using machine learning on warranty data

Wannes JanssensYaël De RockerBrammert TermontMatthias BogaertDirk Van den Poel

Predicting restaurant hygiene scores : an interpretable machine learning approach

Xiao WangBram JanssensMatthias Bogaert

Profit-driven pre-processing in B2B customer churn modeling using fairness techniques

Shimanto RahmanBram JanssensMatthias Bogaert

A1 Journal Article in JOURNAL OF BUSINESS RESEARCH

The dual quest for interpretability and performance in credit scoring via spline-rule ensembles

Simon De LangeMatthias BogaertKoen W. De BockDirk Van den Poel

The dual quest for interpretability and performance in credit scoring via spline-rule ensembles

Simon De LangeMatthias BogaertKoen W. De BockDirk Van den Poel

Unseen market shares : exploiting CDR data for telecom insights in a prepaid multi-SIM setting

Yaël De RockerMatthias Bogaert

2024

360 Degrees rumor detection : when explanations got some explaining to do

Bram JanssensLisa SchetgenMatthias BogaertMatthijs MeireDirk Van den Poel

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

A pre-processing approach to strategic high-value customer representation in churn prediction

Shimanto RahmanBram JanssensMatthias Bogaert

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

Bram JanssensMatthias BogaertAstrid BaguéDirk Van den Poel

A1 Journal Article in ANNALS OF OPERATIONS RESEARCH

Determining well-being during a crisis based on social media data using natural language processing

Xiao WangBram JanssensMatthias BogaertLiesel VanderbauwhedeLisa Schetgen

Performance measurement 2.0 : towards a data-driven cyclist specialization evaluation

Bram JanssensMatthias Bogaert

2023

Ensemble methods in customer churn prediction : a comparative analysis of the state-of-the-art

Matthias BogaertLex Delaere

A1 Journal Article in MATHEMATICS

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

Bram JanssensMatthias BogaertMathijs Maton

A1 Journal Article in ANNALS OF OPERATIONS RESEARCH

Profit-driven analytics : how to align machine learning with business objectives

Shimanto RahmanMatthias BogaertSteve Muylle

2022

Amazon Rainforest Wildfires Rumor Detection

Bram JanssensLisa SchetgenMatthias BogaertMatthijs MeireDirk Van den Poel

Clustering of cycling race profiles

Bram JanssensJelle De BockSteven VerstocktMatthias Bogaert

COVID19 Rumor Detection

Bram JanssensLisa SchetgenMatthias BogaertMatthijs MeireDirk Van den Poel

Essays on interdisciplinary business analytics : from descriptive to prescriptive analytics

Bram JanssensMatthias Bogaert

Imputation of non-participated race results

Bram JanssensMatthias Bogaert

Investigating parallel implementations of genetic algorithms for stochastic part-of-speech tagging

Shimanto RahmanMatthias BogaertDirk Van den Poel

Social media analytics for good : assessing the value of social media analytics for businesses and public instances

Lisa SchetgenMatthias Bogaert

2021

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

Matthias BogaertMichel BallingsDirk Van den PoelAsil Oztekin

A1 Journal Article in DECISION SUPPORT SYSTEMS

Developing a detection and interpretation tool for rumors regarding COVID-19 on Twitter

Lisa SchetgenBram JanssensMatthias Bogaert

Evaluating the influence of Airbnb listings’ descriptions on demand

Bram JanssensMatthias BogaertDirk Van den Poel

A1 Journal Article in INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT

Evaluating the influence of AirBnb listings’ descriptions on demand

Bram JanssensMatthias Bogaert

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

Lisa SchetgenMatthias BogaertDirk Van den Poel

A1 Journal Article in DECISION SUPPORT SYSTEMS

Predicting self‐declared movie watching behavior using Facebook data and information‐fusion sensitivity analysis

Matthias BogaertMichel BallingsRob BergmansDirk Van den Poel

A1 Journal Article in DECISION SCIENCES

Which ethnic groups to contact first? Impacts of decision makers’ cultural backgrounds on innovation adoption in B2B settings

Bram JanssensMatthias Bogaert

2019

Acquisition modeling in the nonprofit sector based on Facebook data

Lisa SchetgenMatthias BogaertDirk Van den Poel

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

Matthias BogaertJustine LootensDirk Van den PoelMichel Ballings

A1 Journal Article in EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

2018

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

Matthias BogaertMichel BallingsDirk Van den Poel

A1 Journal Article in ANNALS OF OPERATIONS RESEARCH

Harnessing the power of social media in predictive analytics

Matthias BogaertDirk Van den PoelMichel Ballings

2017

Identifying soccer players on Facebook through predictive analytics

Matthias BogaertMichel BallingsMartijn HostenDirk Van den Poel

A1 Journal Article in DECISION ANALYSIS

Predicting Movie Watching Behavior using Facebook data and Information-fusion Sensitivity Analysis

Matthias BogaertMichel BallingsRob BergmansDirk Van den Poel

2016

Evaluating the Importance of Different Communication Types in Tie Strength Prediction on Social Media

Matthias BogaertMichel BallingsDirk Van den Poel

Social media optimization: identifying an optimal strategy for increasing network size on Facebook

Michel BallingsDirk Van den PoelMatthias Bogaert

A1 Journal Article in OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE

The added value of Facebook friends data in event attendance prediction

Matthias BogaertMichel BallingsDirk Van den Poel

A1 Journal Article in DECISION SUPPORT SYSTEMS