Jochen De Weerdt

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 100

Top Venues

CoRR

Business Process Management Workshops

BPM

ICPM Workshops

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)
Johannes De Smedt, Anton Yeshchenko, Artem Polyvyanyy, Jochen De Weerdt, Jan Mendling
Process model forecasting and change exploration using time series analysis of event sequence data. Data Knowl. Eng. 145 (2023)
Yannis Bertrand, Jochen De Weerdt, Estefanía Serral
A Novel Multi-perspective Trace Clustering Technique for IoT-Enhanced Processes: A Case Study in Smart Manufacturing. BPM (2023)
Alexander Stevens, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
Manifold Learning for Adversarial Robustness in Predictive Process Monitoring. ICPM (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)
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)
Manon Reusens, Philipp Borchert, Margot Mieskes, Jochen De Weerdt, Bart Baesens
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques. EMNLP (2023)
Hans Weytjens, Wouter Verbeke, Jochen De Weerdt
Timed Process Interventions: Causal Inference vs. Reinforcement Learning. Business Process Management Workshops (2023)
Hans Weytjens, Wouter Verbeke, Jochen De Weerdt
Timing Process Interventions with Causal Inference and Reinforcement Learning. CoRR (2023)
Manon Reusens, Philipp Borchert, Margot Mieskes, Jochen De Weerdt, Bart Baesens
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques. CoRR (2023)
Philipp Borchert, Kristof Coussement, Arno De Caigny, Jochen De Weerdt
Extending business failure prediction models with textual website content using deep learning. Eur. J. Oper. Res. 306 (1) (2023)
Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. CoRR (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)
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
Process-Data Quality: The True Frontier of Process Mining. ACM J. Data Inf. Qual. 15 (3) (2023)
Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. EMNLP (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)
Monique Snoeck, Charlotte Verbruggen, Johannes De Smedt, Jochen De Weerdt
Supporting data-aware processes with MERODE. Softw. Syst. Model. 22 (6) (2023)
Rafaël Van Belle, Bart Baesens, Jochen De Weerdt
CATCHM: A novel network-based credit card fraud detection method using node representation learning. Decis. Support Syst. 164 (2023)
Hans Weytjens, Jochen De Weerdt
Learning uncertainty with artificial neural networks for predictive process monitoring. Appl. Soft Comput. 125 (2022)
Jarne Vandenabeele, Gilles Vermaut, Jari Peeperkorn, Jochen De Weerdt
Enhancing Stochastic Petri Net-based Remaining Time Prediction using k-Nearest Neighbors. CoRR (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)
Jarne Vandenabeele, Gilles Vermaut, Jari Peeperkorn, Jochen De Weerdt
Enhancing Stochastic Petri Net-based Remaining Time Prediction using k-Nearest Neighbors. ATAED@Petri Nets (2022)
Galina Deeva, Johannes De Smedt, Jochen De Weerdt
Educational Sequence Mining for Dropout Prediction in MOOCs: Model Building, Evaluation, and Benchmarking. IEEE Trans. Learn. Technol. 15 (6) (2022)
Yannis Bertrand, Jochen De Weerdt, Estefanía Serral
Assessing the Suitability of Traditional Event Log Standards for IoT-Enhanced Event Logs. Business Process Management 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)
Galina Deeva, Johannes De Smedt, Cecilia Saint-Pierre, Richard Weber, Jochen De Weerdt
Predicting student performance using sequence classification with time-based windows. Expert Syst. Appl. 209 (2022)
Hans Weytjens, Jochen De Weerdt
Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring. CoRR (2022)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Can deep neural networks learn process model structure? An assessment framework and analysis. CoRR (2022)
Simon Hiel, Lore Nicolaers, Carlos Ortega Vázquez, Sandra Mitrovic, Bart Baesens, Jochen De Weerdt
Evaluation of Joint Modeling Techniques for Node Embedding and Community Detection on Graphs. ASONAM (2022)
Yannis Bertrand, Rafaël Van Belle, Jochen De Weerdt, Estefanía Serral
Defining Data Quality Issues in Process Mining with IoT Data. ICPM Workshops (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)
Rafaël Van Belle, Charles Van Damme, Hendrik Tytgat, Jochen De Weerdt
Inductive Graph Representation Learning for fraud detection. Expert Syst. Appl. 193 (2022)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Can recurrent neural networks learn process model structure? CoRR (2022)
Galina Deeva, Johannes De Smedt, Cecilia Saint-Pierre, Richard Weber, Jochen De Weerdt
Predicting student performance using sequence classification with time-based windows. CoRR (2022)
Alexander Stevens, Johannes De Smedt, Jari Peeperkorn, Jochen De Weerdt
Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks. ICPM (2022)
Hans Weytjens, Jochen De Weerdt
Process Outcome Prediction: CNN vs. LSTM (with Attention). CoRR (2021)
Johannes De Smedt, Anton Yeshchenko, Artem Polyvyanyy, Jochen De Weerdt, Jan Mendling
Process Model Forecasting Using Time Series Analysis of Event Sequence Data. ER (2021)
Johannes De Smedt, Anton Yeshchenko, Artem Polyvyanyy, Jochen De Weerdt, Jan Mendling
Process Model Forecasting Using Time Series Analysis of Event Sequence Data. CoRR (2021)
Mieke Jans, Jochen De Weerdt, Benoît Depaire, Marlon Dumas, Gert Janssenswillen
Conformance Checking in Process Mining. Inf. Syst. 102 (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)
Joppe Geluykens, Sandra Mitrovic, Carlos Ortega Vázquez, Teodoro Laino, Alain C. Vaucher, Jochen De Weerdt
Neural Machine Translation for Conditional Generation of Novel Procedures. HICSS (2021)
Galina Deeva, Daria Bogdanova, Estefanía Serral, Monique Snoeck, Jochen De Weerdt
A review of automated feedback systems for learners: Classification framework, challenges and opportunities. Comput. Educ. 162 (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)
Hans Weytjens, Jochen De Weerdt
Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes. BPM (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)
Hans Weytjens, Jochen De Weerdt
Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes. CoRR (2021)
Hans Weytjens, Jochen De Weerdt
Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring. CoRR (2021)
Sandra Mitrovic, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
tcc2vec: RFM-informed representation learning on call graphs for churn prediction. Inf. Sci. 557 (2021)
Andrea Burattin, Jochen De Weerdt, Boudewijn F. van Dongen, Jan Claes, Wil M. P. van der Aalst
Special issue on business process intelligence. Computing 103 (1) (2021)
Monique Snoeck, Johannes De Smedt, Jochen De Weerdt
Supporting Data-Aware Processes with MERODE. BPMDS/EMMSAD@CAiSE (2021)
Hans Weytjens, Jochen De Weerdt
Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring. Business Process Management Workshops (2021)
Yannis Bertrand, Jochen De Weerdt, Estefanía Serral
A Bridging Model for Process Mining and IoT. ICPM Workshops (2021)
Hans Weytjens, Jochen De Weerdt
Process Outcome Prediction: CNN vs. LSTM (with Attention). Business Process Management Workshops (2020)
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)
Johannes De Smedt, Galina Deeva, Jochen De Weerdt
Mining Behavioral Sequence Constraints for Classification. IEEE Trans. Knowl. Data Eng. 32 (6) (2020)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Supervised Conformance Checking Using Recurrent Neural Network Classifiers. ICPM Workshops (2020)
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
Recommendations for enhancing the usability and understandability of process mining in healthcare. Artif. Intell. Medicine 109 (2020)
Johannes De Smedt, Jochen De Weerdt, Junichiro Mori, Masanao Ochi
Predictive Process Model Monitoring using Recurrent Neural Networks. CoRR (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)
Sandra Mitrovic, Jochen De Weerdt
Churn modeling with probabilistic meta paths-based representation learning. Inf. Process. Manag. 57 (2) (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)
Rafaël Van Belle, Sandra Mitrovic, Jochen De Weerdt
Representation Learning in Graphs for Credit Card Fraud Detection. MIDAS@PKDD (2019)
Galina Deeva, Johannes De Smedt, Jochen De Weerdt, María Óskarsdóttir
Mining Behavioural Patterns in Urban Mobility Sequences Using Foursquare Check-in Data from Tokyo. COMPLEX NETWORKS (2) (2019)
Sandra Mitrovic, Laurent Lecoutere, Jochen De Weerdt
A comparison of methods for link sign prediction with signed network embeddings. ASONAM (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)
Lauranne Coppens, Jonathan De Venter, Sandra Mitrovic, Jochen De Weerdt
A Comparative Study of Community Detection Techniques for Large Evolving Graphs. PKDD/ECML Workshops (1) (2019)
Pieter De Koninck, Jochen De Weerdt
Scalable Mixed-Paradigm Trace Clustering using Super-Instances. ICPM (2019)
Galina Deeva, Monique Snoeck, Jochen De Weerdt
Discovering the Impact of Students' Modeling Behavior on their Final Performance. PoEM (2018)
Galina Deeva, Jochen De Weerdt
Understanding Automated Feedback in Learning Processes by Mining Local Patterns. Business Process Management Workshops (2018)
Johannes De Smedt, Jochen De Weerdt, Estefanía Serral, Jan Vanthienen
Discovering hidden dependencies in constraint-based declarative process models for improving understandability. Inf. Syst. 74 (Part) (2018)
Sandra Mitrovic, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
On the operational efficiency of different feature types for telco Churn prediction. Eur. J. Oper. Res. 267 (3) (2018)
Sam De Winter, Tim Decuypere, Sandra Mitrovic, Bart Baesens, Jochen De Weerdt
Combining Temporal Aspects of Dynamic Networks with Node2Vec for a more Efficient Dynamic Link Prediction. ASONAM (2018)
Pieter De Koninck, Seppe vanden Broucke, Jochen De Weerdt
act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes. BPM (2018)
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, Klaas Nelissen, Bart Baesens, Seppe vanden Broucke, Monique Snoeck, Jochen De Weerdt
An Approach for Incorporating Expert Knowledge in Trace Clustering. CAiSE (2017)
Sandra Mitrovic, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
Churn Prediction Using Dynamic RFM-Augmented Node2vec. PAP@PKDD/ECML (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)
Sandra Mitrovic, Gaurav Singh, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
Scalable RFM-enriched Representation Learning for Churn Prediction. DSAA (2017)
Wei Zhe Low, Wil M. P. van der Aalst, Arthur H. M. ter Hofstede, Moe Thandar Wynn, Jochen De Weerdt
Change visualisation: Analysing the resource and timing differences between two event logs. Inf. Syst. 65 (2017)
Johannes De Smedt, Galina Deeva, Jochen De Weerdt
Behavioral Constraint Template-Based Sequence Classification. ECML/PKDD (2) (2017)
Pieter De Koninck, Jochen De Weerdt
Similarity-Based Approaches for Determining the Number of Trace Clusters in Process Discovery. Trans. Petri Nets Other Model. Concurr. 12 (2017)
Galina Deeva, Johannes De Smedt, Pieter De Koninck, Jochen De Weerdt
Dropout Prediction in MOOCs: A Comparison Between Process and Sequence Mining. Business Process Management Workshops (2017)
Johannes De Smedt, Jochen De Weerdt, Estefanía Serral, Jan Vanthienen
Improving Understandability of Declarative Process Models by Revealing Hidden Dependencies. CAiSE (2016)
Pieter De Koninck, Jochen De Weerdt
A Stability Assessment Framework for Process Discovery Techniques. BPM (2016)
Pieter De Koninck, Jochen De Weerdt
Determining the Number of Trace Clusters: a Stability-based Approach. ATAED@Petri Nets/ACSD (2016)
Gayane Sedrakyan, Jochen De Weerdt, Monique Snoeck
Process-mining enabled feedback: "Tell me what I did wrong" vs. "tell me how to do it right". Comput. Hum. Behav. 57 (2016)
Estefanía Serral, Jochen De Weerdt, Gayane Sedrakyan, Monique Snoeck
Automating immediate and personalized feedback taking conceptual modelling education to a next level. RCIS (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)
Johannes De Smedt, Jochen De Weerdt, Jan Vanthienen, Geert Poels
Erratum to: Mixed-Paradigm Process Modeling with Intertwined State Spaces. Bus. Inf. Syst. Eng. 58 (1) (2016)
Pieter De Koninck, Jochen De Weerdt
Multi-objective Trace Clustering: Finding More Balanced Solutions. Business Process Management Workshops (2016)
Johannes De Smedt, Jochen De Weerdt, Jan Vanthienen, Geert Poels
Mixed-Paradigm Process Modeling with Intertwined State Spaces. Bus. Inf. Syst. Eng. 58 (1) (2016)
Johannes De Smedt, Jochen De Weerdt, Estefanía Serral, Jan Vanthienen
Gamification of Declarative Process Models for Learning and Model Verification. Business Process Management Workshops (2015)
Johannes De Smedt, Jochen De Weerdt, Jan Vanthienen
Fusion Miner: Process discovery for mixed-paradigm models. Decis. Support Syst. 77 (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jochen De Weerdt