Jochen De Weerdt

172 papers A* 2A 11B 12C 3Misc 3Journal 86Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Context-driven process discovery: enhancing process flow interpretability with contextualized activity hierarchies. Softw. Syst. Model. Zahra Ahmadi, Jochen De Weerdt, Estefanía Serral Asensio
2026	J	`jnl`	Correction: A benchmarking study on process model forecasting: univariate vs. multivariate approaches. Process Sci. Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2026	J	`jnl`	Model-driven stochastic trace clustering. Inf. Syst. Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2025	J	`jnl`	A benchmarking study on process model forecasting: univariate vs. multivariate approaches. Process Sci. Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2025	J	`jnl`	Actor-Enriched Time Series Forecasting of Process Performance. CoRR Aurélie Leribaux, Rafael Seidi Oyamada, Johannes De Smedt, Zahra Dasht Bozorgi, Artem Polyvyanyy, Jochen De Weerdt
2025	J	`jnl`	Approaches for IoT-enhanced predictive process monitoring. Process Sci. Yannis Bertrand, Alexander Stevens, Boje Deforce, Johannes De Smedt, Jochen De Weerdt, Estefanía Serral
2025	J	`jnl`	Bridging Language Gaps: Enhancing Few-Shot Language Adaptation. CoRR Philipp Borchert, Jochen De Weerdt, Marie-Francine Moens
2025	Misc	`conf`	Context-Enriched Process Discovery from IoT Data Sources for Human Behavioral Monitoring. PoEM Zahra Ahmadi, Mohsen Shirali, Jochen De Weerdt, Estefanía Serral
2025	Misc	`conf`	ContextER: An Entropy-Based Contextualized Process Discovery Approach to Balance Interpretability and Complexity. PoEM Zahra Ahmadi, Jochen De Weerdt, Estefanía Serral Asensio
2025	J	`jnl`	Domain Adaptation of LLMs for Process Data. CoRR Rafael Seidi Oyamada, Jari Peeperkorn, Jochen De Weerdt, Johannes De Smedt
2025	—	`conf`	Enhancing Remaining Time Prediction in Business Processes through Graph Embedding. HICSS Thais Rodrigues Neubauer, Jari Peeperkorn, Jochen De Weerdt, Marcelo Fantinato, Sarajane Marques Peres
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`	Language Fusion for Parameter-Efficient Cross-lingual Transfer. ACL (1) Philipp Borchert, Ivan Vulic, Marie-Francine Moens, Jochen De Weerdt
2025	J	`jnl`	Language Fusion for Parameter-Efficient Cross-lingual Transfer. CoRR Philipp Borchert, Ivan Vulic, Marie-Francine Moens, Jochen De Weerdt
2025	J	`jnl`	Linking Actor Behavior to Process Performance Over Time. CoRR Aurélie Leribaux, Rafael Seidi Oyamada, Johannes De Smedt, Zahra Dasht Bozorgi, Artem Polyvyanyy, Jochen De Weerdt
2025	J	`jnl`	Model-driven Stochastic Trace Clustering. CoRR Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2025	—	`conf`	Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance. IJCNLP-AACL (Findings) Manon Reusens, Philipp Borchert, Jochen De Weerdt, Bart Baesens
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
2025	J	`jnl`	SCOPE: Sequential Causal Optimization of Process Interventions. CoRR Jakob De Moor, Hans Weytjens, Johannes De Smedt, Jochen De Weerdt
2025	—	`conf`	SimBank: From Simulation to Solution in Prescriptive Process Monitoring. BPM (Forum) Jakob De Moor, Hans Weytjens, Johannes De Smedt, Jochen De Weerdt
2025	J	`jnl`	SimBank: from Simulation to Solution in Prescriptive Process Monitoring. CoRR Jakob De Moor, Hans Weytjens, Johannes De Smedt, Jochen De Weerdt
2025	J	`jnl`	Time Series Foundation Models for Process Model Forecasting. CoRR Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2024	—	`conf`	A Novel Contextualization Method for Process Discovery Using Activity Specialization Hierarchies. BPMDS/EMMSAD@CAiSE Zahra Ahmadi, Jochen De Weerdt, Estefanía Serral Asensio
2024	—	`conf`	A Spatial Loss Function for Gradient Boosted Trees. STRL@IJCAI Margot Geerts, Seppe vanden Broucke, Jochen De Weerdt
2024	J	`jnl`	An Expert-Validated Bridging Model for IoT Process Mining. Bus. Inf. Syst. Eng. Yannis Bertrand, Jochen De Weerdt, Estefanía Serral
2024	—	`ed.`	Business Process Management Workshops - BPM 2023 International Workshops, Utrecht, The Netherlands, September 11-15, 2023, Revised Selected Papers Business Process Management Workshops Jochen De Weerdt, Luise Pufahl
2024	—	`conf`	CaLenDiR: Mitigating Case-Length Distortion in Deep-Learning-Based Predictive Process Monitoring. ICPM Workshops Brecht Wuyts, Seppe K. L. M. vanden Broucke, Jochen De Weerdt
2024	—	`ed.`	Doctoral Consortium and Demo Track 2024 at the International Conference on Process Mining 2024 co-located with the 6th International Conference on Process Mining (ICPM 2024), Copenhagen, Denmark, October 15, 2024. ICPM Doctoral Consortium / Demo Jochen De Weerdt, Giovanni Meroni, Han van der Aa, Karolin Winter
2024	J	`jnl`	Dynamic and Scalable Data Preparation for Object-Centric Process Mining. CoRR Lien Bosmans, Jari Peeperkorn, Alexandre Goossens, Giovanni Lugaresi, Johannes De Smedt, Jochen De Weerdt
2024	—	`conf`	Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning. NAACL (Short Papers) Philipp Borchert, Jochen De Weerdt, Marie-Francine Moens
2024	J	`jnl`	Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning. CoRR Philipp Borchert, Jochen De Weerdt, Marie-Francine Moens
2024	J	`jnl`	Generating Realistic Adversarial Examples for Business Processes using Variational Autoencoders. CoRR Alexander Stevens, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
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`	Industry-sensitive language modeling for business. Eur. J. Oper. Res. Philipp Borchert, Kristof Coussement, Jochen De Weerdt, Arno De Caigny
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	—	`conf`	Multivariate Approaches for Process Model Forecasting. ICPM Workshops Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2024	J	`jnl`	Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance. CoRR Manon Reusens, Philipp Borchert, Jochen De Weerdt, Bart Baesens
2024	J	`jnl`	Predictive process model monitoring using long short-term memory networks. Eng. Appl. Artif. Intell. Johannes De Smedt, Jochen De Weerdt
2024	J	`jnl`	Predictive process monitoring: concepts, challenges, and future research directions. Process Sci. Paolo Ceravolo, Marco Comuzzi, Jochen De Weerdt, Chiara Di Francescomarino, Fabrizio Maria Maggi
2024	J	`jnl`	SHINE: A Scalable Heterogeneous Inductive Graph Neural Network for Large Imbalanced Datasets. IEEE Trans. Knowl. Data Eng. Rafaël Van Belle, Jochen De Weerdt
2024	B	`conf`	SuTraN: an Encoder-Decoder Transformer for Full-Context-Aware Suffix Prediction of Business Processes. ICPM Brecht Wuyts, Seppe K. L. M. vanden Broucke, Jochen De Weerdt
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	A	`conf`	A Novel Multi-perspective Trace Clustering Technique for IoT-Enhanced Processes: A Case Study in Smart Manufacturing. BPM Yannis Bertrand, Jochen De Weerdt, Estefanía Serral
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 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`	CATCHM: A novel network-based credit card fraud detection method using node representation learning. Decis. Support Syst. Rafaël Van Belle, Bart Baesens, Jochen De Weerdt
2023	A*	`conf`	CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. EMNLP Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens
2023	J	`jnl`	CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. CoRR Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens
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	J	`jnl`	Extending business failure prediction models with textual website content using deep learning. Eur. J. Oper. Res. Philipp Borchert, Kristof Coussement, Arno De Caigny, Jochen De Weerdt
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	A*	`conf`	Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques. EMNLP Manon Reusens, Philipp Borchert, Margot Mieskes, Jochen De Weerdt, Bart Baesens
2023	J	`jnl`	Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques. CoRR Manon Reusens, Philipp Borchert, Margot Mieskes, Jochen De Weerdt, Bart Baesens
2023	B	`conf`	Manifold Learning for Adversarial Robustness in Predictive Process Monitoring. ICPM Alexander Stevens, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2023	J	`jnl`	Process model forecasting and change exploration using time series analysis of event sequence data. Data Knowl. Eng. Johannes De Smedt, Anton Yeshchenko, Artem Polyvyanyy, Jochen De Weerdt, Jan Mendling
2023	J	`jnl`	Process-Data Quality: The True Frontier of Process Mining. ACM J. Data Inf. Qual. Arthur H. M. ter Hofstede, Agnes Koschmider, Andrea Marrella, Robert Andrews, Dominik Andreas Fischer, Sareh Sadeghianasl, Moe Thandar Wynn, Marco Comuzzi, Jochen De Weerdt, Kanika Goel, Niels Martin, Pnina Soffer
2023	J	`jnl`	Supporting data-aware processes with MERODE. Softw. Syst. Model. Monique Snoeck, Charlotte Verbruggen, Johannes De Smedt, Jochen De Weerdt
2023	—	`conf`	Timed Process Interventions: Causal Inference vs. Reinforcement Learning. Business Process Management Workshops Hans Weytjens, Wouter Verbeke, Jochen De Weerdt
2023	J	`jnl`	Timing Process Interventions with Causal Inference and Reinforcement Learning. CoRR Hans Weytjens, Wouter Verbeke, Jochen De Weerdt
2023	C	`conf`	Vector Representation for Business Process: Graph Embedding for Domain Knowledge Integration. ICMLA Thais Rodrigues Neubauer, Jari Peeperkorn, Sarajane Marques Peres, Jochen De Weerdt, Marcelo Fantinato
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	B	`conf`	Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks. ICPM Alexander Stevens, Johannes De Smedt, Jari Peeperkorn, Jochen De Weerdt
2022	—	`conf`	Assessing the Suitability of Traditional Event Log Standards for IoT-Enhanced Event Logs. Business Process Management Workshops Yannis Bertrand, Jochen De Weerdt, Estefanía Serral
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	—	`conf`	Defining Data Quality Issues in Process Mining with IoT Data. ICPM Workshops Yannis Bertrand, Rafaël Van Belle, Jochen De Weerdt, Estefanía Serral
2022	J	`jnl`	Educational Sequence Mining for Dropout Prediction in MOOCs: Model Building, Evaluation, and Benchmarking. IEEE Trans. Learn. Technol. Galina Deeva, Johannes De Smedt, Jochen De Weerdt
2022	—	`conf`	Enhancing Stochastic Petri Net-based Remaining Time Prediction using k-Nearest Neighbors. ATAED@Petri Nets Jarne Vandenabeele, Gilles Vermaut, Jari Peeperkorn, Jochen De Weerdt
2022	J	`jnl`	Enhancing Stochastic Petri Net-based Remaining Time Prediction using k-Nearest Neighbors. CoRR Jarne Vandenabeele, Gilles Vermaut, Jari Peeperkorn, Jochen De Weerdt
2022	B	`conf`	Evaluation of Joint Modeling Techniques for Node Embedding and Community Detection on Graphs. ASONAM Simon Hiel, Lore Nicolaers, Carlos Ortega Vázquez, Sandra Mitrovic, Bart Baesens, Jochen De Weerdt
2022	—	`ch.`	Foundations of Process Event Data. Process Mining Handbook Jochen De Weerdt, Moe Thandar Wynn
2022	J	`jnl`	Inductive Graph Representation Learning for fraud detection. Expert Syst. Appl. Rafaël Van Belle, Charles Van Damme, Hendrik Tytgat, Jochen De Weerdt
2022	—	`ed.`	Intelligent Information Systems - CAiSE Forum 2022, Leuven, Belgium, June 6-10, 2022, Proceedings CAiSE Forum Jochen De Weerdt, Artem Polyvyanyy
2022	J	`jnl`	Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring. CoRR Hans Weytjens, Jochen De Weerdt
2022	J	`jnl`	Learning uncertainty with artificial neural networks for predictive process monitoring. Appl. Soft Comput. Hans Weytjens, Jochen De Weerdt
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	J	`jnl`	Predicting student performance using sequence classification with time-based windows. CoRR Galina Deeva, Johannes De Smedt, Cecilia Saint-Pierre, Richard Weber, Jochen De Weerdt
2022	J	`jnl`	Predicting student performance using sequence classification with time-based windows. Expert Syst. Appl. Galina Deeva, Johannes De Smedt, Cecilia Saint-Pierre, Richard Weber, 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`	A Bridging Model for Process Mining and IoT. ICPM Workshops Yannis Bertrand, Jochen De Weerdt, Estefanía Serral
2021	J	`jnl`	A review of automated feedback systems for learners: Classification framework, challenges and opportunities. Comput. Educ. Galina Deeva, Daria Bogdanova, Estefanía Serral, Monique Snoeck, Jochen De Weerdt
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`	Conformance Checking in Process Mining. Inf. Syst. Mieke Jans, Jochen De Weerdt, Benoît Depaire, Marlon Dumas, Gert Janssenswillen
2021	—	`conf`	Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring. Business Process Management Workshops Hans Weytjens, Jochen De Weerdt
2021	J	`jnl`	Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring. CoRR Hans Weytjens, Jochen De Weerdt
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	A	`conf`	Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes. BPM Hans Weytjens, Jochen De Weerdt
2021	J	`jnl`	Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes. CoRR Hans Weytjens, Jochen De Weerdt
2021	—	`conf`	Neural Machine Translation for Conditional Generation of Novel Procedures. HICSS Joppe Geluykens, Sandra Mitrovic, Carlos Ortega Vázquez, Teodoro Laino, Alain C. Vaucher, Jochen De Weerdt
2021	A	`conf`	Process Model Forecasting Using Time Series Analysis of Event Sequence Data. ER Johannes De Smedt, Anton Yeshchenko, Artem Polyvyanyy, Jochen De Weerdt, Jan Mendling
2021	J	`jnl`	Process Model Forecasting Using Time Series Analysis of Event Sequence Data. CoRR Johannes De Smedt, Anton Yeshchenko, Artem Polyvyanyy, Jochen De Weerdt, Jan Mendling
2021	J	`jnl`	Process Outcome Prediction: CNN vs. LSTM (with Attention). CoRR Hans Weytjens, Jochen De Weerdt
2021	J	`jnl`	Special issue on business process intelligence. Computing Andrea Burattin, Jochen De Weerdt, Boudewijn F. van Dongen, Jan Claes, Wil M. P. van der Aalst
2021	—	`conf`	Supporting Data-Aware Processes with MERODE. BPMDS/EMMSAD@CAiSE Monique Snoeck, Johannes De Smedt, Jochen De Weerdt
2021	J	`jnl`	tcc2vec: RFM-informed representation learning on call graphs for churn prediction. Inf. Sci. Sandra Mitrovic, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
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	J	`jnl`	Churn modeling with probabilistic meta paths-based representation learning. Inf. Process. Manag. Sandra Mitrovic, Jochen De Weerdt
2020	—	`conf`	Conformance Checking Using Activity and Trace Embeddings. BPM (Forum) Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
2020	J	`jnl`	Mining Behavioral Sequence Constraints for Classification. IEEE Trans. Knowl. Data Eng. Johannes De Smedt, Galina Deeva, 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`	Predictive Process Model Monitoring using Recurrent Neural Networks. CoRR Johannes De Smedt, Jochen De Weerdt, Junichiro Mori, Masanao Ochi
2020	—	`ed.`	Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020), Padua, Italy, October 4-9, 2020. ICPM Doctoral Consortium / Tools Claudio Di Ciccio, Benoît Depaire, Jochen De Weerdt, Chiara Di Francescomarino, Jorge Munoz-Gama
2020	—	`conf`	Process Outcome Prediction: CNN vs. LSTM (with Attention). Business Process Management Workshops Hans Weytjens, Jochen De Weerdt
2020	J	`jnl`	Recommendations for enhancing the usability and understandability of process mining in healthcare. Artif. Intell. Medicine Niels Martin, Jochen De Weerdt, Carlos Fernández-Llatas, Avigdor Gal, Roberto Gatta, Gema Ibáñez, Owen A. Johnson, Felix Mannhardt, Luis Marco-Ruiz, Steven Mertens, Jorge Munoz-Gama, Fernando Seoane, Jan Vanthienen, Moe Thandar Wynn, David Baltar Boilève, Jochen Bergs, Mieke Joosten-Melis, Stijn Schretlen, Bram B. Van Acker
2020	—	`conf`	Supervised Conformance Checking Using Recurrent Neural Network Classifiers. ICPM Workshops Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
2019	—	`conf`	A Comparative Study of Community Detection Techniques for Large Evolving Graphs. PKDD/ECML Workshops (1) Lauranne Coppens, Jonathan De Venter, Sandra Mitrovic, Jochen De Weerdt
2019	B	`conf`	A comparison of methods for link sign prediction with signed network embeddings. ASONAM Sandra Mitrovic, Laurent Lecoutere, Jochen De Weerdt
2019	—	`conf`	Mining Behavioural Patterns in Urban Mobility Sequences Using Foursquare Check-in Data from Tokyo. COMPLEX NETWORKS (2) Galina Deeva, Johannes De Smedt, Jochen De Weerdt, María Óskarsdóttir
2019	—	`conf`	Optimizing Marketing Campaign Targeting Using Uncertainty-Based Predictive Modelling. ICDM Workshops Björn Rafn Gunnarsson, Seppe vanden Broucke, Jochen De Weerdt
2019	—	`conf`	Predictive Process Monitoring in Operational Logistics: A Case Study in Aviation. Business Process Management Workshops Björn Rafn Gunnarsson, Seppe K. L. M. vanden Broucke, Jochen De Weerdt
2019	—	`conf`	Representation Learning in Graphs for Credit Card Fraud Detection. MIDAS@PKDD Rafaël Van Belle, Sandra Mitrovic, Jochen De Weerdt
2019	B	`conf`	Scalable Mixed-Paradigm Trace Clustering using Super-Instances. ICPM Pieter De Koninck, Jochen De Weerdt
2019	—	`ch.`	Trace Clustering. Encyclopedia of Big Data Technologies Jochen De Weerdt
2018	B	`conf`	Combining Temporal Aspects of Dynamic Networks with Node2Vec for a more Efficient Dynamic Link Prediction. ASONAM Sam De Winter, Tim Decuypere, Sandra Mitrovic, Bart Baesens, Jochen De Weerdt
2018	J	`jnl`	Discovering hidden dependencies in constraint-based declarative process models for improving understandability. Inf. Syst. Johannes De Smedt, Jochen De Weerdt, Estefanía Serral, Jan Vanthienen
2018	Misc	`conf`	Discovering the Impact of Students' Modeling Behavior on their Final Performance. PoEM Galina Deeva, Monique Snoeck, Jochen De Weerdt
2018	J	`jnl`	On the operational efficiency of different feature types for telco Churn prediction. Eur. J. Oper. Res. Sandra Mitrovic, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
2018	—	`conf`	Understanding Automated Feedback in Learning Processes by Mining Local Patterns. Business Process Management Workshops Galina Deeva, Jochen De Weerdt
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`	Behavioral Constraint Template-Based Sequence Classification. ECML/PKDD (2) Johannes De Smedt, Galina Deeva, Jochen De Weerdt
2017	J	`jnl`	Change visualisation: Analysing the resource and timing differences between two event logs. Inf. Syst. Wei Zhe Low, Wil M. P. van der Aalst, Arthur H. M. ter Hofstede, Moe Thandar Wynn, Jochen De Weerdt
2017	—	`conf`	Churn Prediction Using Dynamic RFM-Augmented Node2vec. PAP@PKDD/ECML Sandra Mitrovic, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
2017	—	`conf`	Dropout Prediction in MOOCs: A Comparison Between Process and Sequence Mining. Business Process Management Workshops Galina Deeva, Johannes De Smedt, Pieter De Koninck, Jochen De Weerdt
2017	J	`jnl`	Explaining clusterings of process instances. Data Min. Knowl. Discov. Pieter De Koninck, Jochen De Weerdt, Seppe K. L. M. vanden Broucke
2017	J	`jnl`	Fodina: A robust and flexible heuristic process discovery technique. Decis. Support Syst. Seppe K. L. M. vanden Broucke, Jochen De Weerdt
2017	B	`conf`	Scalable RFM-enriched Representation Learning for Churn Prediction. DSAA Sandra Mitrovic, Gaurav Singh, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
2017	J	`jnl`	Similarity-Based Approaches for Determining the Number of Trace Clusters in Process Discovery. Trans. Petri Nets Other Model. Concurr. Pieter De Koninck, Jochen De Weerdt
2016	A	`conf`	A Stability Assessment Framework for Process Discovery Techniques. BPM Pieter De Koninck, Jochen De Weerdt
2016	B	`conf`	Automating immediate and personalized feedback taking conceptual modelling education to a next level. RCIS Estefanía Serral, Jochen De Weerdt, Gayane Sedrakyan, Monique Snoeck
2016	—	`conf`	Determining the Number of Trace Clusters: a Stability-based Approach. ATAED@Petri Nets/ACSD Pieter De Koninck, Jochen De Weerdt
2016	J	`jnl`	Erratum to: Mixed-Paradigm Process Modeling with Intertwined State Spaces. Bus. Inf. Syst. Eng. Johannes De Smedt, Jochen De Weerdt, Jan Vanthienen, Geert Poels
2016	A	`conf`	Improving Understandability of Declarative Process Models by Revealing Hidden Dependencies. CAiSE Johannes De Smedt, Jochen De Weerdt, Estefanía Serral, Jan Vanthienen
2016	J	`jnl`	Mixed-Paradigm Process Modeling with Intertwined State Spaces. Bus. Inf. Syst. Eng. Johannes De Smedt, Jochen De Weerdt, Jan Vanthienen, Geert Poels
2016	—	`conf`	Multi-objective Trace Clustering: Finding More Balanced Solutions. Business Process Management Workshops Pieter De Koninck, Jochen De Weerdt
2016	J	`jnl`	Process-mining enabled feedback: "Tell me what I did wrong" vs. "tell me how to do it right". Comput. Hum. Behav. Gayane Sedrakyan, Jochen De Weerdt, Monique Snoeck
2016	J	`jnl`	Revising history for cost-informed process improvement. Computing 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
2015	J	`jnl`	Fusion Miner: Process discovery for mixed-paradigm models. Decis. Support Syst. Johannes De Smedt, Jochen De Weerdt, Jan Vanthienen
2015	—	`conf`	Gamification of Declarative Process Models for Learning and Model Verification. Business Process Management Workshops Johannes De Smedt, Jochen De Weerdt, Estefanía Serral, Jan Vanthienen
2014	—	`conf`	Bidimensional Process Discovery for Mining BPMN Models. Business Process Management Workshops Jochen De Weerdt, Seppe K. L. M. vanden Broucke, Filip Caron
2014	J	`jnl`	Controlled automated discovery of collections of business process models. Inf. Syst. Luciano García-Bañuelos, Marlon Dumas, Marcello La Rosa, Jochen De Weerdt, Chathura C. Ekanayake
2014	J	`jnl`	Determining Process Model Precision and Generalization with Weighted Artificial Negative Events. IEEE Trans. Knowl. Data Eng. Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Jan Vanthienen, Bart Baesens
2014	J	`jnl`	Monitoring care processes in the gynecologic oncology department. Comput. Biol. Medicine Filip Caron, Jan Vanthienen, Kris Vanhaecht, Erik van Limbergen, Jochen De Weerdt, Bart Baesens
2014	—	`conf`	Multi-paradigm Process Mining: Retrieving Better Models by Combining Rules and Sequences - (Short Paper). OTM Conferences Johannes De Smedt, Jochen De Weerdt, Jan Vanthienen
2014	B	`conf`	Perturbing event logs to identify cost reduction opportunities: A genetic algorithm-based approach. IEEE Congress on Evolutionary Computation 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
2014	J	`jnl`	Process mining analysis of conceptual modeling behavior of novices - empirical study using JMermaid modeling and experimental logging environment. Comput. Hum. Behav. Gayane Sedrakyan, Monique Snoeck, Jochen De Weerdt
2014	A	`conf`	SECPI: Searching for Explanations for Clustered Process Instances. BPM Jochen De Weerdt, Seppe K. L. M. vanden Broucke
2013	C	`conf`	A comprehensive benchmarking framework (CoBeFra) for conformance analysis between procedural process models and event logs in ProM. CIDM Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Jan Vanthienen, Bart Baesens
2013	J	`jnl`	Active Trace Clustering for Improved Process Discovery. IEEE Trans. Knowl. Data Eng. Jochen De Weerdt, Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens
2013	—	`conf`	Cost-Aware Business Process Management: A Research Agenda. ACIS Moe Wynn, Jochen De Weerdt, Arthur H. M. ter Hofstede, Wil M. P. van der Aalst, Hajo A. Reijers, Michael Adams, Chun Ouyang, Michael Rosemann, Wei Zhe Low
2013	—	`ed.`	Proceedings of the 3rd Business Process Intelligence Challenge co-located with 9th International Business Process Intelligence Workshop (BPI 2013), Beijing, China, August 26, 2013. BPIC@BPM Boudewijn F. van Dongen, Barbara Weber, Diogo R. Ferreira, Jochen De Weerdt
2013	J	`jnl`	Process Mining for the multi-faceted analysis of business processes - A case study in a financial services organization. Comput. Ind. Jochen De Weerdt, Annelies Schupp, An Vanderloock, Bart Baesens
2013	—	`conf`	Report: Business Process Intelligence Challenge 2013. Business Process Management Workshops Boudewijn F. van Dongen, Barbara Weber, Diogo R. Ferreira, Jochen De Weerdt
2012	J	`jnl`	A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs. Inf. Syst. Jochen De Weerdt, Manu De Backer, Jan Vanthienen, Bart Baesens
2012	—	`—`	Business process discovery: new techniques and applications. Jochen De Weerdt
2012	—	`conf`	Getting a Grasp on Clinical Pathway Data: An Approach Based on Process Mining. PAKDD Workshops Jochen De Weerdt, Filip Caron, Jan Vanthienen, Bart Baesens
2012	A	`conf`	Improved Artificial Negative Event Generation to Enhance Process Event Logs. CAiSE Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Bart Baesens, Jan Vanthienen
2012	B	`conf`	Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes. IEEE Congress on Evolutionary Computation Jochen De Weerdt, Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens
2011	C	`conf`	A robust F-measure for evaluating discovered process models. CIDM Jochen De Weerdt, Manu De Backer, Jan Vanthienen, Bart Baesens
2011	—	`conf`	Advanced Care-Flow Mining and Analysis. Business Process Management Workshops (1) Filip Caron, Jan Vanthienen, Jochen De Weerdt, Bart Baesens
2011	J	`jnl`	Process discovery in event logs: An application in the telecom industry. Appl. Soft Comput. Stijn Goedertier, Jochen De Weerdt, David Martens, Jan Vanthienen, Bart Baesens
2010	—	`conf`	A Critical Evaluation Study of Model-Log Metrics in Process Discovery. Business Process Management Workshops Jochen De Weerdt, Manu De Backer, Jan Vanthienen, Bart Baesens