Bart Baesens

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 93

Top Venues

Publications

Robin Van Oirbeek, Jolien Ponnet, Bart Baesens, Tim Verdonck
Computational Efficient Approximations of the Concordance Probability in a Big Data Setting. Big Data 12 (3) (2024)
Boje Deforce, Bart Baesens, Estefanía Serral Asensio
Leveraging Time-Series Foundation Models in Smart Agriculture for Soil Moisture Forecasting. CoRR (2024)
Elena Tiukhova, Pavani Vemuri, Maria Óskarsdóttir, Stephan Poelmans, Bart Baesens, Monique Snoeck
Discovering Unusual Study Patterns Using Anomaly Detection and XAI. HICSS (2024)
Boje Deforce, Bart Baesens, Jan Diels, Estefanía Serral Asensio
Harnessing the power of transformers and data fusion in smart irrigation. Appl. Soft Comput. 152 (2024)
Manon Reusens, Alexander Stevens, Jonathan Tonglet, Johannes De Smedt, Wouter Verbeke, Seppe vanden Broucke, Bart Baesens
Evaluating text classification: A benchmark study. Expert Syst. Appl. 254 (2024)
Boje Deforce, Meng-Chieh Lee, Bart Baesens, Estefanía Serral Asensio, Jaemin Yoo, Leman Akoglu
End-To-End Self-tuning Self-supervised Time Series Anomaly Detection. CoRR (2024)
Elena Tiukhova, Pavani Vemuri, Nidia Guadalupe López Flores, Anna Sigridur Islind, María Óskarsdóttir, Stephan Poelmans, Bart Baesens, Monique Snoeck
Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI. Decis. Support Syst. 182 (2024)
Wouter Dossche, Sarah Vansteenkiste, Bart Baesens, Wilfried Lemahieu
Interpretable and Accurate Identification of Job Seekers at Risk of Long-Term Unemployment: Explainable ML-Based Profiling. SN Comput. Sci. 5 (5) (2024)
Tim Verdonck, Bart Baesens, María Óskarsdóttir, Seppe vanden Broucke
Special issue on feature engineering editorial. Mach. Learn. 113 (7) (2024)
Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
A new perspective on classification: Optimally allocating limited resources to uncertain tasks. Decis. Support Syst. 179 (2024)
Koen W. De Bock, Kristof Coussement, Arno De Caigny, Roman Slowinski, Bart Baesens, Robert N. Boute, Tsan-Ming Choi, Dursun Delen, Mathias Kraus, Stefan Lessmann, Sebastián Maldonado, David Martens, María Óskarsdóttir, Carla Vairetti, Wouter Verbeke, Richard Weber
Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. Eur. J. Oper. Res. 317 (2) (2024)
Bart Baesens, Amy Adams, Rodrigo Pacheco-Ruiz, Ann-Sophie Baesens, Seppe K. L. M. vanden Broucke
Explainable Deep Learning to Classify Royal Navy Ships. IEEE Access 12 (2024)
Manon Reusens, Philipp Borchert, Jochen De Weerdt, Bart Baesens
Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance. CoRR (2024)
Bruno Deprez, Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
Network Analytics for Anti-Money Laundering - A Systematic Literature Review and Experimental Evaluation. CoRR (2024)
Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Bart Baesens, Monique Snoeck, Cristián Bravo
INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks. CoRR (2023)
Elena Tiukhova, Charlotte Verbruggen, Bart Baesens, Monique Snoeck
Learning analytics tells: Know your basics and go to class. ER (Companion) (2023)
Jonathan Tonglet, Manon Reusens, Philipp Borchert, Bart Baesens
SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA. EMNLP (2023)
Boje Deforce, Bart Baesens, Jan Diels, Estefanía Serral Asensio
MultiMix TFT: A Multi-task Mixed-Frequency Framework with Temporal Fusion Transformers. CoLLAs (2023)
Manon Reusens, Philipp Borchert, Margot Mieskes, Jochen De Weerdt, Bart Baesens
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques. EMNLP (2023)
Jonathan Tonglet, Manon Reusens, Philipp Borchert, Bart Baesens
SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA. CoRR (2023)
Manon Reusens, Philipp Borchert, Margot Mieskes, Jochen De Weerdt, Bart Baesens
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques. CoRR (2023)
Boje Deforce, Bart Baesens, Jan Diels, Estefanía Serral Asensio
Self-Supervised Anomaly Detection of Rogue Soil Moisture Sensors. CoRR (2023)
Rafaël Van Belle, Bart Baesens, Jochen De Weerdt
CATCHM: A novel network-based credit card fraud detection method using node representation learning. Decis. Support Syst. 164 (2023)
Elena Tiukhova, Manon Reusens, Bart Baesens, Monique Snoeck
Benchmarking Conventional Outlier Detection Methods. RCIS (2022)
Toon Vanderschueren, Tim Verdonck, Bart Baesens, Wouter Verbeke
Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies. Inf. Sci. 594 (2022)
Tim Verdonck, Wouter Verbeke, Maria Óskarsdóttir, Bart Baesens
Introduction to the Minitrack on Fraud Detection Using Machine Learning. HICSS (2022)
Simon Hiel, Lore Nicolaers, Carlos Ortega Vázquez, Sandra Mitrovic, Bart Baesens, Jochen De Weerdt
Evaluation of Joint Modeling Techniques for Node Embedding and Community Detection on Graphs. ASONAM (2022)
Toon Vanderschueren, Wouter Verbeke, Bart Baesens, Tim Verdonck
Instance-dependent cost-sensitive learning: do we really need it? HICSS (2022)
Toon Vanderschueren, Robert N. Boute, Tim Verdonck, Bart Baesens, Wouter Verbeke
Prescriptive maintenance with causal machine learning. CoRR (2022)
Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
A new perspective on classification: optimally allocating limited resources to uncertain tasks. CoRR (2022)
Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Hernán García, Alejandro Correa Bahnsen, Bart Baesens, Monique Snoeck, Cristián Bravo
Influencer Detection with Dynamic Graph Neural Networks. CoRR (2022)
Sebastiaan Höppner, Bart Baesens, Wouter Verbeke, Tim Verdonck
Instance-dependent cost-sensitive learning for detecting transfer fraud. Eur. J. Oper. Res. 297 (1) (2022)
Björn Rafn Gunnarsson, Seppe vanden Broucke, Bart Baesens, María Óskarsdóttir, Wilfried Lemahieu
Deep learning for credit scoring: Do or don't? Eur. J. Oper. Res. 295 (1) (2021)
Pieter De Koninck, Klaas Nelissen, Seppe vanden Broucke, Bart Baesens, Monique Snoeck, Jochen De Weerdt
Expert-driven Trace Clustering with Instance-level Constraints. CoRR (2021)
Pieter De Koninck, Klaas Nelissen, Seppe vanden Broucke, Bart Baesens, Monique Snoeck, Jochen De Weerdt
Expert-driven trace clustering with instance-level constraints. Knowl. Inf. Syst. 63 (5) (2021)
Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke
Autoencoders for strategic decision support. Decis. Support Syst. 150 (2021)
Sandra Mitrovic, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
tcc2vec: RFM-informed representation learning on call graphs for churn prediction. Inf. Sci. 557 (2021)
Bart Baesens, Sebastiaan Höppner, Tim Verdonck
Data engineering for fraud detection. Decis. Support Syst. 150 (2021)
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Jan Vanthienen, Bart Baesens
The Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics. CoRR (2020)
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
A Comparative Study of Social Network Classifiers for Predicting Churn in the Telecommunication Industry. CoRR (2020)
Bart Baesens, Sebastiaan Höppner, Irene Ortner, Tim Verdonck
robROSE: A robust approach for dealing with imbalanced data in fraud detection. CoRR (2020)
María Óskarsdóttir, Waqas Ahmed, Katrien Antonio, Bart Baesens, Rémi Dendievel, Tom Donas, Tom Reynkens
Social network analytics for supervised fraud detection in insurance. CoRR (2020)
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Bart Baesens, Jan Vanthienen
Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending. CoRR (2020)
Sebastiaan Höppner, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Tim Verdonck
Profit driven decision trees for churn prediction. Eur. J. Oper. Res. 284 (3) (2020)
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
Social Network Analytics for Churn Prediction in Telco: Model Building, Evaluation and Network Architecture. CoRR (2020)
Tine Van Calster, Filip Van den Bossche, Bart Baesens, Wilfried Lemahieu
Profit-oriented sales forecasting: a comparison of forecasting techniques from a business perspective. CoRR (2020)
Laura Calzada-Infante, María Óskarsdóttir, Bart Baesens
Evaluation of customer behavior with temporal centrality metrics for churn prediction of prepaid contracts. Expert Syst. Appl. 160 (2020)
Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke
Autoencoders for strategic decision support. CoRR (2020)
Libo Li, Stefan Lessmann, Bart Baesens
Evaluating software defect prediction performance: an updated benchmarking study. CoRR (2019)
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Jan Vanthienen, Bart Baesens
The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics. Appl. Soft Comput. 74 (2019)
María Óskarsdóttir, Sander Cornette, Floris Deseure, Bart Baesens
Inductive Representation Learning on Feature Rich Complex Networks for Churn Prediction in Telco. COMPLEX NETWORKS (1) (2019)
Jasmien Lismont, Tine Van Calster, María Óskarsdóttir, Seppe vanden Broucke, Bart Baesens, Wilfried Lemahieu, Jan Vanthienen
Closing the Gap Between Experts and Novices Using Analytics-as-a-Service: An Experimental Study. Bus. Inf. Syst. Eng. 61 (6) (2019)
Bart Baesens
BART: BAckward Regression Trimming. Big Data 7 (3) (2019)
Nikita Kozodoi, Stefan Lessmann, Konstantinos Papakonstantinou, Yiannis Gatsoulis, Bart Baesens
A multi-objective approach for profit-driven feature selection in credit scoring. Decis. Support Syst. 120 (2019)
Eugen Stripling, Bart Baesens, Barak Chizi, Seppe vanden Broucke
Isolation-based conditional anomaly detection on mixed-attribute data to uncover workers' compensation fraud. Decis. Support Syst. 111 (2018)
Eugen Stripling, Seppe vanden Broucke, Katrien Antonio, Bart Baesens, Monique Snoeck
Profit maximizing logistic model for customer churn prediction using genetic algorithms. Swarm Evol. Comput. 40 (2018)
Bing Zhu, Bart Baesens, Aimée Backiel, Seppe K. L. M. vanden Broucke
Benchmarking sampling techniques for imbalance learning in churn prediction. J. Oper. Res. Soc. 69 (1) (2018)
Jasmien Lismont, Eddy Cardinaels, Liesbeth Bruynseels, Sander De Groote, Bart Baesens, Wilfried Lemahieu, Jan Vanthienen
Predicting tax avoidance by means of social network analytics. Decis. Support Syst. 108 (2018)
María Óskarsdóttir, Bart Baesens, Jan Vanthienen
Profit-Based Model Selection for Customer Retention Using Individual Customer Lifetime Values. Big Data 6 (1) (2018)
Michael Reusens, Wilfried Lemahieu, Bart Baesens, Luc Sels
Evaluating recommendation and search in the labor market. Knowl. Based Syst. 152 (2018)
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Bart Baesens, Jan Vanthienen
Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending. ICIS (2018)
Bart Baesens, Wouter Verbeke, Cristián Bravo
Special Issue on Profit-Driven Analytics. Big Data 6 (1) (2018)
Klaas Nelissen, Monique Snoeck, Seppe K. L. M. vanden Broucke, Bart Baesens
Swipe and Tell: Using Implicit Feedback to Predict User Engagement on Tablets. ACM Trans. Inf. Syst. 36 (4) (2018)
Wilfried Lemahieu, Seppe vanden Broucke, Bart Baesens
. Big Data 6 (2) (2018)
Sandra Mitrovic, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
On the operational efficiency of different feature types for telco Churn prediction. Eur. J. Oper. Res. 267 (3) (2018)
Jasmien Lismont, Sudha Ram, Jan Vanthienen, Wilfried Lemahieu, Bart Baesens
Predicting interpurchase time in a retail environment using customer-product networks: An empirical study and evaluation. Expert Syst. Appl. 104 (2018)
Nikita Kozodoi, Stefan Lessmann, Bart Baesens, Konstantinos Papakonstantinou
Profit-Oriented Feature Selection in Credit Scoring Applications. OR (2018)
María Óskarsdóttir, Tine Van Calster, Bart Baesens, Wilfried Lemahieu, Jan Vanthienen
Time series for early churn detection: Using similarity based classification for dynamic networks. Expert Syst. Appl. 106 (2018)
Arnout Devos, Jakob Dhondt, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Gaurav S. Sukhatme
Profit Maximizing Logistic Regression Modeling for Credit Scoring. DSW (2018)
Sam De Winter, Tim Decuypere, Sandra Mitrovic, Bart Baesens, Jochen De Weerdt
Combining Temporal Aspects of Dynamic Networks with Node2Vec for a more Efficient Dynamic Link Prediction. ASONAM (2018)
Wouter Verbeke, David Martens, Bart Baesens
RULEM: A novel heuristic rule learning approach for ordinal classification with monotonicity constraints. Appl. Soft Comput. 60 (2017)
Jan Mendling, Bart Baesens, Abraham Bernstein, Michael Fellmann
Challenges of smart business process management: An introduction to the special issue. Decis. Support Syst. 100 (2017)
Michael Reusens, Wilfried Lemahieu, Bart Baesens, Luc Sels
A note on explicit versus implicit information for job recommendation. Decis. Support Syst. 98 (2017)
Pieter De Koninck, Klaas Nelissen, Bart Baesens, Seppe vanden Broucke, Monique Snoeck, Jochen De Weerdt
An Approach for Incorporating Expert Knowledge in Trace Clustering. CAiSE (2017)
Sandra Mitrovic, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
Churn Prediction Using Dynamic RFM-Augmented Node2vec. PAP@PKDD/ECML (2017)
Jasmien Lismont, Jan Vanthienen, Bart Baesens, Wilfried Lemahieu
Defining analytics maturity indicators: A survey approach. Int. J. Inf. Manag. 37 (3) (2017)
Sandra Mitrovic, Gaurav Singh, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
Scalable RFM-enriched Representation Learning for Churn Prediction. DSAA (2017)
Lore Dirick, Gerda Claeskens, Bart Baesens
Time to default in credit scoring using survival analysis: a benchmark study. J. Oper. Res. Soc. 68 (6) (2017)
Sebastiaan Höppner, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Tim Verdonck
Profit Driven Decision Trees for Churn Prediction. CoRR (2017)
Libo Li, Frank Goethals, Bart Baesens, Monique Snoeck
Predicting software revision outcomes on GitHub using structural holes theory. Comput. Networks 114 (2017)
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
Social network analytics for churn prediction in telco: Model building, evaluation and network architecture. Expert Syst. Appl. 85 (2017)
Véronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens
GOTCHA! Network-Based Fraud Detection for Social Security Fraud. Manag. Sci. 63 (9) (2017)
Bing Zhu, Bart Baesens, Seppe K. L. M. vanden Broucke
An empirical comparison of techniques for the class imbalance problem in churn prediction. Inf. Sci. 408 (2017)
Tine Van Calster, Bart Baesens, Wilfried Lemahieu
ProfARIMA: A profit-driven order identification algorithm for ARIMA models in sales forecasting. Appl. Soft Comput. 60 (2017)
Tom Haegemans, Michael Reusens, Bart Baesens, Wilfried Lemahieu, Monique Snoeck
Towards a Visual Approach to Aggregate Data Quality Measurements. ICIQ (2017)
Bing Zhu, Yongge Niu, Jin Xiao, Bart Baesens
A new transferred feature selection algorithm for customer identification. Neural Comput. Appl. 28 (9) (2017)
Bing Zhu, Seppe vanden Broucke, Bart Baesens, Sebastián Maldonado
Improving Resampling-based Ensemble in Churn Prediction. LIDTA@PKDD/ECML (2017)
Helen-Tadesse Moges, Véronique Van Vlasselaer, Wilfried Lemahieu, Bart Baesens
Determining the use of data quality metadata (DQM) for decision making purposes and its impact on decision outcomes - An exploratory study. Decis. Support Syst. 83 (2016)
Bart Baesens, Ravi Bapna, James R. Marsden, Jan Vanthienen, J. Leon Zhao
Transformational Issues of Big Data and Analytics in Networked Business. MIS Q. 40 (4) (2016)
Seppe K. L. M. vanden Broucke, Filip Caron, Jasmien Lismont, Jan Vanthienen, Bart Baesens
On the gap between reality and registration: a business event analysis classification framework. Inf. Technol. Manag. 17 (4) (2016)
Xinwei Zhu, Seppe vanden Broucke, Guobin Zhu, Jan Vanthienen, Bart Baesens
Enabling flexible location-aware business process modeling and execution. Decis. Support Syst. 83 (2016)
Aimée Backiel, Bart Baesens, Gerda Claeskens
Predicting time-to-churn of prepaid mobile telephone customers using social network analysis. J. Oper. Res. Soc. 67 (9) (2016)
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
A comparative study of social network classifiers for predicting churn in the telecommunication industry. ASONAM (2016)
Julie Moeyersoms, Enric Junqué de Fortuny, Karel Dejaeger, Bart Baesens, David Martens
Comprehensible software fault and effort prediction: A data mining approach. J. Syst. Softw. 100 (2015)
Véronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens
AFRAID: Fraud Detection via Active Inference in Time-evolving Social Networks. ASONAM (2015)
Alex Seret, Sebastián Maldonado, Bart Baesens
Identifying next relevant variables for segmentation by using feature selection approaches. Expert Syst. Appl. 42 (15-16) (2015)
Carlos André R. Pinheiro, Véronique Van Vlasselaer, Bart Baesens, Alexandre G. Evsukoff, Moacyr A. H. B. da Silva, Nelson F. F. Ebecken
A Models Comparison to Estimate Commuting Trips Based on Mobile Phone Data. CSOC (2) (2015)
Stefan Lessmann, Bart Baesens, Hsin-Vonn Seow, Lyn C. Thomas
Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research. Eur. J. Oper. Res. 247 (1) (2015)
Aimée Backiel, Yannick Verbinnen, Bart Baesens, Gerda Claeskens
Combining Local and Social Network Classifiers to Improve Churn Prediction. ASONAM (2015)
Alex Seret, Andreea Bejinaru, Bart Baesens
Domain knowledge based segmentation of online banking customers. Intell. Data Anal. 19 (s1) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bart Baesens