Holistic discovery of decision models from process execution data von De Smedt, Johannes, Hasić, Faruk, vanden Broucke, Seppe K.L.M, Vanthienen, Jan

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Decision as a Service (DaaS): A Service-Oriented Architecture Approach for Decisions in Processes von Hasic, Faruk, De Smedt, Johannes, Broucke, Seppe vanden, Serral, Estefania

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Explaining clusterings of process instances von De Koninck, Pieter, De Weerdt, Jochen, vanden Broucke, Seppe K. L. M.

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Determining Process Model Precision and Generalization with Weighted Artificial Negative Events von vanden Broucke, Seppe K. L. M., De Weerdt, Jochen, Vanthienen, Jan, Baesens, Bart

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Fodina: A robust and flexible heuristic process discovery technique von vanden Broucke, Seppe K.L.M., De Weerdt, Jochen

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A Direct Data Aware LSTM Neural Network Architecture for Complete Remaining Trace and Runtime Prediction von Gunnarsson, Bjorn Rafn, Broucke, Seppe vanden, Weerdt, Jochen De

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Benchmarking sampling techniques for imbalance learning in churn prediction von Zhu, Bing, Baesens, Bart, Backiel, Aimée, vanden Broucke, Seppe K. L. M.

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A dynamic understanding of customer behavior processes based on clustering and sequence mining von Seret, Alex, vanden Broucke, Seppe K.L.M., Baesens, Bart, Vanthienen, Jan

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Deep learning for credit scoring: Do or don’t? von Gunnarsson, Björn Rafn, vanden Broucke, Seppe, Baesens, Bart, Óskarsdóttir, María, Lemahieu, Wilfried

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Incorporating negative information to process discovery of complex systems von Ponce de León, Hernán, Nardelli, Lucio, Carmona, Josep, vanden Broucke, Seppe K.L.M.

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Optimization framework for DFG-based automated process discovery approaches von Augusto, Adriano, Dumas, Marlon, La Rosa, Marcello, Leemans, Sander J. J., vanden Broucke, Seppe K. L. M.

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Exploring Automated GDPR-Compliance in Requirements Engineering: A Systematic Mapping Study von Aberkane, Abdel-Jaouad, Poels, Geert, Vanden Broucke, Seppe

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An empirical comparison of techniques for the class imbalance problem in churn prediction von Zhu, Bing, Baesens, Bart, vanden Broucke, Seppe K.L.M.

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Practical Web Scraping for Data Science - Best Practices and Examples with Python von vanden Broucke, Seppe, Baesens, Bart

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Profit driven decision trees for churn prediction von Höppner, Sebastiaan, Stripling, Eugen, Baesens, Bart, Broucke, Seppe vanden, Verdonck, Tim

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An Experimental Investigation of Calibration Techniques for Imbalanced Data von Huang, Lanlan, Zhao, Junkai, Zhu, Bing, Chen, Hao, Broucke, Seppe Vanden

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Enhancing geospatial prediction models with feature engineering from road networks: a graph-driven approach von Guo, Yameng, vanden Broucke, Seppe

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On the gap between reality and registration: a business event analysis classification framework von vanden Broucke, Seppe K. L. M., Caron, Filip, Lismont, Jasmien, Vanthienen, Jan, Baesens, Bart

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Isolation-based conditional anomaly detection on mixed-attribute data to uncover workers' compensation fraud von Stripling, Eugen, Baesens, Bart, Chizi, Barak, vanden Broucke, Seppe

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Active Trace Clustering for Improved Process Discovery von De Weerdt, Jochen, vanden Broucke, Seppe, Vanthienen, Jan, Baesens, Bart

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