Seppe vanden Broucke

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 50

Top Venues

CoRR

ICPM Workshops

Decis. Support Syst.

IEEE Trans. Serv. Comput.

Katholieke Universiteit Leuven, Belgium (PHD)

Education History

Katholieke Universiteit Leuven, Belgium

PHD

Publications

Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Validation set sampling strategies for predictive process monitoring. Inf. Syst. 121 (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)
Tim Verdonck, Bart Baesens, María Óskarsdóttir, Seppe vanden Broucke
Special issue on feature engineering editorial. Mach. Learn. 113 (7) (2024)
Yameng Guo, Seppe vanden Broucke
Enhancing geospatial prediction models with feature engineering from road networks: a graph-driven approach. Int. J. Geogr. Inf. Sci. 38 (8) (2024)
Björn Rafn Gunnarsson, Seppe vanden Broucke, Jochen De Weerdt
LS-ICE: A Load State Intercase Encoding framework for improved predictive monitoring of business processes. Inf. Syst. 125 (2024)
Carlos Ortega Vázquez, Seppe vanden Broucke, Jochen De Weerdt
Hellinger distance decision trees for PU learning in imbalanced data sets. Mach. Learn. 113 (7) (2024)
Bing Zhu, Cheng Qian, Seppe vanden Broucke, Jin Xiao, Yuanyuan Li
A bagging-based selective ensemble model for churn prediction on imbalanced data. Expert Syst. Appl. 227 (2023)
Björn Rafn Gunnarsson, Seppe vanden Broucke, Jochen De Weerdt
A Direct Data Aware LSTM Neural Network Architecture for Complete Remaining Trace and Runtime Prediction. IEEE Trans. Serv. Comput. 16 (4) (2023)
Abdel-Jaouad Aberkane, Seppe vanden Broucke, Geert Poels
Toward Data Protection by Design: Assessing the Current State of GDPR Disclosure in Web Applications. REW (2023)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Global conformance checking measures using shallow representation and deep learning. Eng. Appl. Artif. Intell. 123 (Part) (2023)
Yameng Guo, Seppe vanden Broucke
Geospatial Prediction Using Road Topology: A Graph-based Perspective. STRL@IJCAI (2023)
Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt
An Evolutionary Geospatial Regression Tree. STRL@IJCAI (2023)
Jan Niklas Adams, Jari Peeperkorn, Tobias Brockhoff, Isabelle Terrier, Heiko Göhner, Merih Seran Uysal, Seppe vanden Broucke, Jochen De Weerdt, Wil M. P. van der Aalst
Discovering high-quality process models despite data scarcity. ER (Companion) (2023)
Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt
A Survey of Methods and Input Data Types for House Price Prediction. ISPRS Int. J. Geo Inf. 12 (5) (2023)
Brecht Wuyts, Hans Weytjens, Seppe vanden Broucke, Jochen De Weerdt
DyLoPro: Profiling the Dynamics of Event Logs. BPM (2023)
Carlos Ortega Vázquez, Seppe vanden Broucke, Jochen De Weerdt
A two-step anomaly detection based method for PU classification in imbalanced data sets. Data Min. Knowl. Discov. 37 (3) (2023)
Jan Niklas Adams, Jari Peeperkorn, Tobias Brockhoff, Isabelle Terrier, Heiko Göhner, Merih Seran Uysal, Seppe vanden Broucke, Jochen De Weerdt, Wil M. P. van der Aalst
Discovering High-Quality Process Models Despite Data Scarcity. CoRR (2023)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Can recurrent neural networks learn process model structure? J. Intell. Inf. Syst. 61 (1) (2023)
Abdel-Jaouad Aberkane, Seppe vanden Broucke, Geert Poels
Investigating Organizational Factors Associated with GDPR Noncompliance using Privacy Policies: A Machine Learning Approach. TPS-ISA (2022)
Bing Zhu, Xin Pan, Seppe vanden Broucke, Jin Xiao
A GAN-based hybrid sampling method for imbalanced customer classification. Inf. Sci. 609 (2022)
Margot Geerts, Kiran Shaikh, Jochen De Weerdt, Seppe vanden Broucke
Predicting the State of a House Using Google Street View - An Analysis of Deep Binary Classification Models for the Assessment of the Quality of Flemish Houses. RCIS (2022)
Jari Peeperkorn, Carlos Ortega Vázquez, Alexander Stevens, Johannes De Smedt, Seppe vanden Broucke, Jochen De Weerdt
Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs. ICPM Workshops (2022)
Carlos Ortega Vázquez, Jochen De Weerdt, Seppe vanden Broucke
The Hidden Cost of Fraud: An Instance-Dependent Cost-Sensitive Approach for Positive and Unlabeled Learning. LIDTA (2022)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Can deep neural networks learn process model structure? An assessment framework and analysis. CoRR (2022)
Faruk Hasic, Johannes De Smedt, Seppe vanden Broucke, Estefanía Serral
Decision as a Service (DaaS): A Service-Oriented Architecture Approach for Decisions in Processes. IEEE Trans. Serv. Comput. 15 (2) (2022)
Björn Rafn Gunnarsson, Jochen De Weerdt, Seppe vanden Broucke
A framework for encoding the multi-location load state of a business process. PMAI@IJCAI (2022)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Can recurrent neural networks learn process model structure? CoRR (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)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Can Deep Neural Networks Learn Process Model Structure? An Assessment Framework and Analysis. ICPM Workshops (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)
Abdel-Jaouad Aberkane, Geert Poels, Seppe vanden Broucke
Exploring Automated GDPR-Compliance in Requirements Engineering: A Systematic Mapping Study. IEEE Access 9 (2021)
Steven Van Goidsenhoven, Daria Bogdanova, Galina Deeva, Seppe vanden Broucke, Jochen De Weerdt, Monique Snoeck
Predicting student success in a blended learning environment. LAK (2020)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Supervised Conformance Checking Using Recurrent Neural Network Classifiers. ICPM Workshops (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)
Carlos Ortega Vázquez, Sandra Mitrovic, Jochen De Weerdt, Seppe vanden Broucke
A Comparative Study of Representation Learning Techniques for Dynamic Networks. WorldCIST (3) (2020)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Conformance Checking Using Activity and Trace Embeddings. BPM (Forum) (2020)
Björn Rafn Gunnarsson, Seppe vanden Broucke, Jochen De Weerdt
Optimizing Marketing Campaign Targeting Using Uncertainty-Based Predictive Modelling. ICDM Workshops (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)
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)
Wilfried Lemahieu, Seppe vanden Broucke, Bart Baesens
. Big Data 6 (2) (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)
Pieter De Koninck, Seppe vanden Broucke, Jochen De Weerdt
act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes. BPM (2018)
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)
Sebastiaan Höppner, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Tim Verdonck
Profit Driven Decision Trees for Churn Prediction. CoRR (2017)
Bing Zhu, Seppe vanden Broucke, Bart Baesens, Sebastián Maldonado
Improving Resampling-based Ensemble in Churn Prediction. LIDTA@PKDD/ECML (2017)
Jasmien Lismont, Anne-Sophie Janssens, Irina Odnoletkova, Seppe vanden Broucke, Filip Caron, Jan Vanthienen
A guide for the application of analytics on healthcare processes: A dynamic view on patient pathways. Comput. Biol. Medicine 77 (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)
Eugen Stripling, Seppe vanden Broucke, Katrien Antonio, Bart Baesens, Monique Snoeck
Profit maximizing logistic regression modeling for customer churn prediction. DSAA (2015)
Xinwei Zhu, Guobin Zhu, Seppe vanden Broucke, Jan Recker
On Merging Business Process Management and Geographic Information Systems: Modeling and Execution of Ecological Concerns in Processes. GRMSE (2014)
Seppe vanden Broucke, Jan Vanthienen, Bart Baesens
Volvo IT Belgium VINST. BPIC@BPM (2013)
Tim Van den Bulcke, Paul Vanden Broucke, Viviane Van Hoof, Kristien Wouters, Seppe vanden Broucke, Geert Smits, Elke Smits, Sam Proesmans, Toon Van Genechten, François Eyskens
Data mining methods for classification of Medium-Chain Acyl-CoA dehydrogenase deficiency (MCADD) using non-derivatized tandem MS neonatal screening data. J. Biomed. Informatics 44 (2) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Seppe vanden Broucke