Seppe K. L. M. vanden Broucke

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 17

Top Topics

Complex Systems

Customer Behavior

Churn Prediction

Top Venues

Business Process Management Workshops

IEEE Congress on Evolutionary Computation

Publications

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)
Lennert Van der Schraelen, Kristof Stouthuysen, Seppe K. L. M. vanden Broucke, Tim Verdonck
Regularization oversampling for classification tasks: To exploit what you do not know. Inf. Sci. 635 (2023)
Adriano Augusto, Marlon Dumas, Marcello La Rosa, Sander J. J. Leemans, Seppe K. L. M. vanden Broucke
Optimization framework for DFG-based automated process discovery approaches. Softw. Syst. Model. 20 (4) (2021)
Lanlan Huang, Junkai Zhao, Bing Zhu, Hao Chen, Seppe K. L. M. vanden Broucke
An Experimental Investigation of Calibration Techniques for Imbalanced Data. IEEE Access 8 (2020)
Bing Zhu, Zihan Gao, Junkai Zhao, Seppe K. L. M. vanden Broucke
IRIC: An R library for binary imbalanced classification. SoftwareX 10 (2019)
Björn Rafn Gunnarsson, Seppe K. L. M. vanden Broucke, Jochen De Weerdt
Predictive Process Monitoring in Operational Logistics: A Case Study in Aviation. Business Process Management Workshops (2019)
Johannes De Smedt, Faruk Hasic, Seppe K. L. M. vanden Broucke, Jan Vanthienen
Holistic discovery of decision models from process execution data. Knowl. Based Syst. 183 (2019)
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)
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)
Hernán Ponce de León, Lucio Nardelli, Josep Carmona, Seppe K. L. M. vanden Broucke
Incorporating negative information to process discovery of complex systems. Inf. Sci. 422 (2018)
Johannes De Smedt, Faruk Hasic, Seppe K. L. M. vanden Broucke, Jan Vanthienen
Towards a Holistic Discovery of Decisions in Process-Aware Information Systems. BPM (2017)
Seppe K. L. M. vanden Broucke, Jochen De Weerdt
Fodina: A robust and flexible heuristic process discovery technique. Decis. Support Syst. 100 (2017)
Pieter De Koninck, Jochen De Weerdt, Seppe K. L. M. vanden Broucke
Explaining clusterings of process instances. Data Min. Knowl. Discov. 31 (3) (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)
Johannes De Smedt, Seppe K. L. M. vanden Broucke, Josué Obregon, Aekyung Kim, Jae-Yoon Jung, Jan Vanthienen
Decision Mining in a Broader Context: An Overview of the Current Landscape and Future Directions. Business Process Management Workshops (2016)
Wei Zhe Low, Seppe K. L. M. vanden Broucke, Moe Thandar Wynn, Arthur H. M. ter Hofstede, Jochen De Weerdt, Wil M. P. van der Aalst
Revising history for cost-informed process improvement. Computing 98 (9) (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)
Hernán Ponce de León, Josep Carmona, Seppe K. L. M. vanden Broucke
Incorporating Negative Information in Process Discovery. BPM (2015)
Wei Zhe Low, Jochen De Weerdt, Moe Thandar Wynn, Arthur H. M. ter Hofstede, Wil M. P. van der Aalst, Seppe K. L. M. vanden Broucke
Perturbing event logs to identify cost reduction opportunities: A genetic algorithm-based approach. IEEE Congress on Evolutionary Computation (2014)
Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Jan Vanthienen, Bart Baesens
Determining Process Model Precision and Generalization with Weighted Artificial Negative Events. IEEE Trans. Knowl. Data Eng. 26 (8) (2014)
Xinwei Zhu, Guobin Zhu, Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens
Towards Location-Aware Process Modeling and Execution. Business Process Management Workshops (2014)
Seppe K. L. M. vanden Broucke, Jorge Munoz-Gama, Josep Carmona, Bart Baesens, Jan Vanthienen
Event-Based Real-Time Decomposed Conformance Analysis. OTM Conferences (2014)
Alex Seret, Seppe K. L. M. vanden Broucke, Bart Baesens, Jan Vanthienen
A dynamic understanding of customer behavior processes based on clustering and sequence mining. Expert Syst. Appl. 41 (10) (2014)
Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens
Declarative process discovery with evolutionary computing. IEEE Congress on Evolutionary Computation (2014)
Jochen De Weerdt, Seppe K. L. M. vanden Broucke, Filip Caron
Bidimensional Process Discovery for Mining BPMN Models. Business Process Management Workshops (2014)
Jochen De Weerdt, Seppe K. L. M. vanden Broucke
SECPI: Searching for Explanations for Clustered Process Instances. BPM (2014)
Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Jan Vanthienen, Bart Baesens
A comprehensive benchmarking framework (CoBeFra) for conformance analysis between procedural process models and event logs in ProM. CIDM (2013)
Jochen De Weerdt, Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens
Active Trace Clustering for Improved Process Discovery. IEEE Trans. Knowl. Data Eng. 25 (12) (2013)
Seppe K. L. M. vanden Broucke, Cédric Delvaux, João Freitas, Taisiia Rogova, Jan Vanthienen, Bart Baesens
Uncovering the Relationship Between Event Log Characteristics and Process Discovery Techniques. Business Process Management Workshops (2013)
Seppe K. L. M. vanden Broucke, Filip Caron, Jan Vanthienen, Bart Baesens
Validating and Enhancing Declarative Business Process Models Based on Allowed and Non-occurring Past Behavior. Business Process Management Workshops (2013)
Alex Seret, Seppe K. L. M. vanden Broucke, Bart Baesens, Jan Vanthienen
An Exploratory Approach for Understanding Customer Behavior Processes Based on Clustering and Sequence Mining. Business Process Management Workshops (2013)
Jochen De Weerdt, Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens
Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes. IEEE Congress on Evolutionary Computation (2012)
Filip Caron, Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens
On the Distinction between Truthful, Invisible, False and Unobserved Events An Event Existence Classification Framework and the Impact on Business Process Analytics Related Research Areas. AMCIS (2012)
Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Bart Baesens, Jan Vanthienen
Improved Artificial Negative Event Generation to Enhance Process Event Logs. CAiSE (2012)