Seppe vanden Broucke

67 papers A 4B 2C 1Journal 36Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	When subgraphs outperform graphs: a scalable training strategy for churn prediction on large class-imbalanced networks. Data Min. Knowl. Discov. Yameng Guo, Seppe vanden Broucke
2025	J	`jnl`	Aggregate Sales Forecasting Based on Spatial Correlation in Retail. J. Theor. Appl. Electron. Commer. Res. Bing Zhu, Zhengqian Sun, Seppe vanden Broucke, Keyi Lan, Duoxi Xiao
2025	J	`jnl`	Graph neural networks for house price prediction: do or don't? Int. J. Data Sci. Anal. Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt
2025	—	`conf`	HexaClus: Interpretable Hexagonal Supervised Spatial Clustering. STRL@IJCAI Yameng Guo, Seppe vanden Broucke
2025	—	`conf`	On the Performance of LLMs for Real Estate Appraisal. ECML/PKDD (9) Margot Geerts, Manon Reusens, Bart Baesens, Seppe vanden Broucke, Jochen De Weerdt
2025	J	`jnl`	On the Performance of LLMs for Real Estate Appraisal. CoRR Margot Geerts, Manon Reusens, Bart Baesens, Seppe vanden Broucke, Jochen De Weerdt
2025	J	`jnl`	Predictive Process Monitoring for Airport Operational Support. Künstliche Intell. Björn Rafn Gunnarsson, Seppe vanden Broucke, Thibault Verhoeven, Jochen De Weerdt
2024	—	`conf`	A Critique on Transductive Evaluation for GNN Node Classification. DataMod Yameng Guo, Seppe vanden Broucke
2024	—	`conf`	A Spatial Loss Function for Gradient Boosted Trees. STRL@IJCAI Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt
2024	J	`jnl`	Enhancing geospatial prediction models with feature engineering from road networks: a graph-driven approach. Int. J. Geogr. Inf. Sci. Yameng Guo, Seppe vanden Broucke
2024	J	`jnl`	Evaluating text classification: A benchmark study. Expert Syst. Appl. Manon Reusens, Alexander Stevens, Jonathan Tonglet, Johannes De Smedt, Wouter Verbeke, Seppe vanden Broucke, Bart Baesens
2024	J	`jnl`	GeoRF: a geospatial random forest. Data Min. Knowl. Discov. Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt
2024	J	`jnl`	Hellinger distance decision trees for PU learning in imbalanced data sets. Mach. Learn. Carlos Ortega Vázquez, Seppe vanden Broucke, Jochen De Weerdt
2024	J	`jnl`	LS-ICE: A Load State Intercase Encoding framework for improved predictive monitoring of business processes. Inf. Syst. Björn Rafn Gunnarsson, Seppe vanden Broucke, Jochen De Weerdt
2024	C	`conf`	Learning from Uncertainty: Improving Churn Prediction using Conformal Confidence Intervals. ICMLA Yameng Guo, Seppe vanden Broucke
2024	—	`conf`	Leveraging ChatGPT for GDPR Compliance in Requirements Engineering: A Pilot Study. SpaCCS Abdel-Jaouad Aberkane, Seppe vanden Broucke, Geert Poels, Georgios Georgiadis
2024	J	`jnl`	Special issue on feature engineering editorial. Mach. Learn. Tim Verdonck, Bart Baesens, María Óskarsdóttir, Seppe vanden Broucke
2024	—	`conf`	Understanding Organizational Transitions: Interpretable Top Manager Turnover Prediction using a Heterogeneous Graph Neural Network. CSAI Yameng Guo, Qiuzhen Ren, Seppe vanden Broucke
2024	J	`jnl`	Validation set sampling strategies for predictive process monitoring. Inf. Syst. Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
2023	J	`jnl`	A Direct Data Aware LSTM Neural Network Architecture for Complete Remaining Trace and Runtime Prediction. IEEE Trans. Serv. Comput. Björn Rafn Gunnarsson, Seppe vanden Broucke, Jochen De Weerdt
2023	J	`jnl`	A Survey of Methods and Input Data Types for House Price Prediction. ISPRS Int. J. Geo Inf. Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt
2023	J	`jnl`	A bagging-based selective ensemble model for churn prediction on imbalanced data. Expert Syst. Appl. Bing Zhu, Cheng Qian, Seppe vanden Broucke, Jin Xiao, YuanYuan Li
2023	J	`jnl`	A two-step anomaly detection based method for PU classification in imbalanced data sets. Data Min. Knowl. Discov. Carlos Ortega Vázquez, Seppe vanden Broucke, Jochen De Weerdt
2023	—	`conf`	An Evolutionary Geospatial Regression Tree. STRL@IJCAI Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt
2023	J	`jnl`	Can recurrent neural networks learn process model structure? J. Intell. Inf. Syst. Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
2023	J	`jnl`	Discovering High-Quality Process Models Despite Data Scarcity. CoRR 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
2023	—	`conf`	Discovering high-quality process models despite data scarcity. ER (Companion) 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
2023	A	`conf`	DyLoPro: Profiling the Dynamics of Event Logs. BPM Brecht Wuyts, Hans Weytjens, Seppe vanden Broucke, Jochen De Weerdt
2023	—	`conf`	Geospatial Prediction Using Road Topology: A Graph-based Perspective. STRL@IJCAI Yameng Guo, Seppe vanden Broucke
2023	J	`jnl`	Global conformance checking measures using shallow representation and deep learning. Eng. Appl. Artif. Intell. Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
2023	—	`conf`	Toward Data Protection by Design: Assessing the Current State of GDPR Disclosure in Web Applications. REW Abdel-Jaouad Aberkane, Seppe vanden Broucke, Geert Poels
2022	J	`jnl`	A GAN-based hybrid sampling method for imbalanced customer classification. Inf. Sci. Bing Zhu, Xin Pan, Seppe vanden Broucke, Jin Xiao
2022	—	`conf`	A framework for encoding the multi-location load state of a business process. PMAI@IJCAI Björn Rafn Gunnarsson, Jochen De Weerdt, Seppe vanden Broucke
2022	J	`jnl`	Can deep neural networks learn process model structure? An assessment framework and analysis. CoRR Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
2022	J	`jnl`	Can recurrent neural networks learn process model structure? CoRR Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
2022	J	`jnl`	Decision as a Service (DaaS): A Service-Oriented Architecture Approach for Decisions in Processes. IEEE Trans. Serv. Comput. Faruk Hasic, Johannes De Smedt, Seppe vanden Broucke, Estefanía Serral
2022	—	`conf`	Investigating Organizational Factors Associated with GDPR Noncompliance using Privacy Policies: A Machine Learning Approach. TPS-ISA Abdel-Jaouad Aberkane, Seppe vanden Broucke, Geert Poels
2022	—	`conf`	Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs. ICPM Workshops Jari Peeperkorn, Carlos Ortega Vázquez, Alexander Stevens, Johannes De Smedt, Seppe vanden Broucke, Jochen De Weerdt
2022	B	`conf`	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 Margot Geerts, Kiran Shaikh, Jochen De Weerdt, Seppe vanden Broucke
2022	—	`conf`	The Hidden Cost of Fraud: An Instance-Dependent Cost-Sensitive Approach for Positive and Unlabeled Learning. LIDTA Carlos Ortega Vázquez, Jochen De Weerdt, Seppe vanden Broucke
2021	—	`conf`	Can Deep Neural Networks Learn Process Model Structure? An Assessment Framework and Analysis. ICPM Workshops Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
2021	J	`jnl`	Deep learning for credit scoring: Do or don't? Eur. J. Oper. Res. Björn Rafn Gunnarsson, Seppe vanden Broucke, Bart Baesens, María Óskarsdóttir, Wilfried Lemahieu
2021	J	`jnl`	Expert-driven Trace Clustering with Instance-level Constraints. CoRR Pieter De Koninck, Klaas Nelissen, Seppe vanden Broucke, Bart Baesens, Monique Snoeck, Jochen De Weerdt
2021	J	`jnl`	Expert-driven trace clustering with instance-level constraints. Knowl. Inf. Syst. Pieter De Koninck, Klaas Nelissen, Seppe vanden Broucke, Bart Baesens, Monique Snoeck, Jochen De Weerdt
2021	J	`jnl`	Exploring Automated GDPR-Compliance in Requirements Engineering: A Systematic Mapping Study. IEEE Access Abdel-Jaouad Aberkane, Geert Poels, Seppe vanden Broucke
2020	—	`conf`	A Comparative Study of Representation Learning Techniques for Dynamic Networks. WorldCIST (3) Carlos Ortega Vázquez, Sandra Mitrovic, Jochen De Weerdt, Seppe vanden Broucke
2020	—	`conf`	Conformance Checking Using Activity and Trace Embeddings. BPM (Forum) Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
2020	A	`conf`	Predicting student success in a blended learning environment. LAK Steven Van Goidsenhoven, Daria Bogdanova, Galina Deeva, Seppe vanden Broucke, Jochen De Weerdt, Monique Snoeck
2020	J	`jnl`	Profit driven decision trees for churn prediction. Eur. J. Oper. Res. Sebastiaan Höppner, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Tim Verdonck
2020	—	`conf`	Supervised Conformance Checking Using Recurrent Neural Network Classifiers. ICPM Workshops Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
2019	J	`jnl`	Closing the Gap Between Experts and Novices Using Analytics-as-a-Service: An Experimental Study. Bus. Inf. Syst. Eng. Jasmien Lismont, Tine Van Calster, María Óskarsdóttir, Seppe vanden Broucke, Bart Baesens, Wilfried Lemahieu, Jan Vanthienen
2019	—	`conf`	Optimizing Marketing Campaign Targeting Using Uncertainty-Based Predictive Modelling. ICDM Workshops Björn Rafn Gunnarsson, Seppe vanden Broucke, Jochen De Weerdt
2018	J	`jnl`	An Interview with Bart Baesens, One of the Authors of Big Data Wilfried Lemahieu, Seppe vanden Broucke, Bart Baesens
2018	J	`jnl`	Isolation-based conditional anomaly detection on mixed-attribute data to uncover workers' compensation fraud. Decis. Support Syst. Eugen Stripling, Bart Baesens, Barak Chizi, Seppe vanden Broucke
2018	—	`conf`	Profit Maximizing Logistic Regression Modeling for Credit Scoring. DSW Arnout Devos, Jakob Dhondt, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Gaurav S. Sukhatme
2018	J	`jnl`	Profit maximizing logistic model for customer churn prediction using genetic algorithms. Swarm Evol. Comput. Eugen Stripling, Seppe vanden Broucke, Katrien Antonio, Bart Baesens, Monique Snoeck
2018	A	`conf`	act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes. BPM Pieter De Koninck, Seppe vanden Broucke, Jochen De Weerdt
2017	A	`conf`	An Approach for Incorporating Expert Knowledge in Trace Clustering. CAiSE Pieter De Koninck, Klaas Nelissen, Bart Baesens, Seppe vanden Broucke, Monique Snoeck, Jochen De Weerdt
2017	—	`conf`	Improving Resampling-based Ensemble in Churn Prediction. LIDTA@PKDD/ECML Bing Zhu, Seppe vanden Broucke, Bart Baesens, Sebastián Maldonado
2017	J	`jnl`	Profit Driven Decision Trees for Churn Prediction. CoRR Sebastiaan Höppner, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Tim Verdonck
2016	J	`jnl`	A guide for the application of analytics on healthcare processes: A dynamic view on patient pathways. Comput. Biol. Medicine Jasmien Lismont, Anne-Sophie Janssens, Irina Odnoletkova, Seppe vanden Broucke, Filip Caron, Jan Vanthienen
2016	J	`jnl`	Enabling flexible location-aware business process modeling and execution. Decis. Support Syst. Xinwei Zhu, Seppe vanden Broucke, Guobin Zhu, Jan Vanthienen, Bart Baesens
2015	B	`conf`	Profit maximizing logistic regression modeling for customer churn prediction. DSAA Eugen Stripling, Seppe vanden Broucke, Katrien Antonio, Bart Baesens, Monique Snoeck
2014	—	`—`	Advances in Process Mining: Artificial negative events and othertechniques. Seppe vanden Broucke
2014	—	`conf`	On Merging Business Process Management and Geographic Information Systems: Modeling and Execution of Ecological Concerns in Processes. GRMSE Xinwei Zhu, Guobin Zhu, Seppe vanden Broucke, Jan Recker
2013	—	`conf`	Volvo IT Belgium VINST. BPIC@BPM Seppe vanden Broucke, Jan Vanthienen, Bart Baesens
2011	J	`jnl`	Data mining methods for classification of Medium-Chain Acyl-CoA dehydrogenase deficiency (MCADD) using non-derivatized tandem MS neonatal screening data. J. Biomed. Informatics 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