Seppe vanden Broucke
Seppe vanden Broucke
Assistant Professor at UGent - Lecturer at KU Leuven
Verified email at - Homepage
Cited by
Cited by
Active trace clustering for improved process discovery
J De Weerdt, S vanden Broucke, J Vanthienen, B Baesens
IEEE Transactions on Knowledge and Data Engineering 25 (12), 2708-2720, 2013
An empirical comparison of techniques for the class imbalance problem in churn prediction
B Zhu, B Baesens, SKLM vanden Broucke
Information Sciences 408, 84-99, 2017
Fodina: a robust and flexible heuristic process discovery technique
SKLM vanden Broucke, J De Weerdt
Decision Support Systems 100, 109-118, 2017
Deep learning for credit scoring: Do or don’t?
BR Gunnarsson, S Vanden Broucke, B Baesens, M Óskarsdóttir, ...
European Journal of Operational Research 295 (1), 292-305, 2021
Profit driven decision trees for churn prediction
S Höppner, E Stripling, B Baesens, S vanden Broucke, T Verdonck
European Journal of Operational Research 284 (3), 920-933, 2020
Profit maximizing logistic model for customer churn prediction using genetic algorithms
E Stripling, S vanden Broucke, K Antonio, B Baesens, M Snoeck
Swarm and Evolutionary Computation 40, 116-130, 2018
act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes
P De Koninck, S vanden Broucke, J De Weerdt
Business Process Management: 16th International Conference, BPM 2018, Sydney …, 2018
Determining process model precision and generalization with weighted artificial negative events
S Vanden Broucke, J De Weerdt, J Vanthienen, B Baesens
IEEE Transactions on Knowledge and Data Engineering, 2013
Special issue on feature engineering editorial
T Verdonck, B Baesens, M Óskarsdóttir, S vanden Broucke
Machine Learning, 1-12, 2021
Benchmarking sampling techniques for imbalance learning in churn prediction
B Zhu, B Baesens, A Backiel, SKLM vanden Broucke
Journal of the Operational Research Society, 1-17, 2017
A guide for the application of analytics on healthcare processes: A dynamic view on patient pathways
J Lismont, AS Janssens, I Odnoletkova, S vanden Broucke, F Caron, ...
Computers in Biology and Medicine 77, 125-134, 2016
Practical Web scraping for data science
S Vanden Broucke, B Baesens
Apress, 2018
Isolation-based conditional anomaly detection on mixed-attribute data to uncover workers' compensation fraud
E Stripling, B Baesens, B Chizi, S vanden Broucke
Decision Support Systems 111, 13-26, 2018
Event-based real-time decomposed conformance analysis
SKLM vanden Broucke, J Munoz-Gama, J Carmona, B Baesens, ...
OTM Confederated International Conferences" On the Move to Meaningful …, 2014
Towards a holistic discovery of decisions in process-aware information systems
J De Smedt, F Hasić, SKLM vanden Broucke, J Vanthienen
Business Process Management: 15th International Conference, BPM 2017 …, 2017
A dynamic understanding of customer behavior processes based on clustering and sequence mining
A Seret, SKLM vanden Broucke, B Baesens, J Vanthienen
Expert Systems with Applications 41 (10), 4648-4657, 2014
Practical Web Scraping for Data Science: best practices and examples with Python
SV Broucke, B Baesens
Apress, 2018
Predicting student success in a blended learning environment
S Van Goidsenhoven, D Bogdanova, G Deeva, S Broucke, J De Weerdt, ...
Proceedings of the Tenth International Conference on Learning Analytics …, 2020
Explaining clusterings of process instances
P De Koninck, J De Weerdt, SKLM vanden Broucke
Data Mining and Knowledge Discovery 31 (3), 774-808, 2017
A Comprehensive Benchmarking Framework (CoBeFra) for conformance analysis between procedural process models and event logs in ProM
S vanden Broucke, J De Weerdt, B Baesens, J Vanthienen
Proceedings of the IEEE Symposium on Computational Intelligence and Data …, 2013
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