Seppe K. L. M. vanden Broucke
Orcid: 0000-0002-8781-3906
According to our database1,
Seppe K. L. M. vanden Broucke
authored at least 78 papers
between 2011 and 2024.
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Bibliography
2024
Inf. Syst., March, 2024
2023
Expert Syst. Appl., October, 2023
J. Intell. Inf. Syst., August, 2023
Regularization oversampling for classification tasks: To exploit what you do not know.
Inf. Sci., July, 2023
A two-step anomaly detection based method for PU classification in imbalanced data sets.
Data Min. Knowl. Discov., May, 2023
A Direct Data Aware LSTM Neural Network Architecture for Complete Remaining Trace and Runtime Prediction.
IEEE Trans. Serv. Comput., 2023
ISPRS Int. J. Geo Inf., 2023
Eng. Appl. Artif. Intell., 2023
Toward Data Protection by Design: Assessing the Current State of GDPR Disclosure in Web Applications.
Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023
Proceedings of the 2nd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023
Proceedings of the 2nd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023
Proceedings of the Companion Proceedings of the 42nd International Conference on Conceptual Modeling: ER Forum, 2023
Proceedings of the Business Process Management - 21st International Conference, 2023
2022
Decision as a Service (DaaS): A Service-Oriented Architecture Approach for Decisions in Processes.
IEEE Trans. Serv. Comput., 2022
Inf. Sci., 2022
Investigating Organizational Factors Associated with GDPR Noncompliance using Privacy Policies: A Machine Learning Approach.
Proceedings of the 4th IEEE International Conference on Trust, 2022
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.
Proceedings of the Research Challenges in Information Science, 2022
The Hidden Cost of Fraud: An Instance-Dependent Cost-Sensitive Approach for Positive and Unlabeled Learning.
Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022
Proceedings of the Workshop on Process Management in the AI Era (PMAI 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022
Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs.
Proceedings of the Process Mining Workshops, 2022
2021
Softw. Syst. Model., 2021
Knowl. Inf. Syst., 2021
Exploring Automated GDPR-Compliance in Requirements Engineering: A Systematic Mapping Study.
IEEE Access, 2021
Can Deep Neural Networks Learn Process Model Structure? An Assessment Framework and Analysis.
Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021
2020
IEEE Access, 2020
Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020
Proceedings of the Process Mining Workshops, 2020
Proceedings of the Business Process Management Forum, 2020
2019
Knowl. Based Syst., 2019
Closing the Gap Between Experts and Novices Using Analytics-as-a-Service: An Experimental Study.
Bus. Inf. Syst. Eng., 2019
Optimizing Marketing Campaign Targeting Using Uncertainty-Based Predictive Modelling.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
Proceedings of the Business Process Management Workshops, 2019
2018
ACM Trans. Inf. Syst., 2018
Profit maximizing logistic model for customer churn prediction using genetic algorithms.
Swarm Evol. Comput., 2018
J. Oper. Res. Soc., 2018
Inf. Sci., 2018
Isolation-based conditional anomaly detection on mixed-attribute data to uncover workers' compensation fraud.
Decis. Support Syst., 2018
An Interview with Bart Baesens, One of the Authors of <i>Principles of Database Management</i>.
Big Data, 2018
Proceedings of the 2018 IEEE Data Science Workshop, 2018
act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes.
Proceedings of the Business Process Management - 16th International Conference, 2018
2017
An empirical comparison of techniques for the class imbalance problem in churn prediction.
Inf. Sci., 2017
Decis. Support Syst., 2017
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017
Proceedings of the Advanced Information Systems Engineering, 2017
Proceedings of the Business Process Management - 15th International Conference, 2017
2016
On the gap between reality and registration: a business event analysis classification framework.
Inf. Technol. Manag., 2016
Decis. Support Syst., 2016
A guide for the application of analytics on healthcare processes: A dynamic view on patient pathways.
Comput. Biol. Medicine, 2016
Decision Mining in a Broader Context: An Overview of the Current Landscape and Future Directions.
Proceedings of the Business Process Management Workshops, 2016
2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
Proceedings of the Business Process Management - 13th International Conference, 2015
2014
PhD thesis, 2014
Determining Process Model Precision and Generalization with Weighted Artificial Negative Events.
IEEE Trans. Knowl. Data Eng., 2014
A dynamic understanding of customer behavior processes based on clustering and sequence mining.
Expert Syst. Appl., 2014
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Conferences, 2014
On Merging Business Process Management and Geographic Information Systems: Modeling and Execution of Ecological Concerns in Processes.
Proceedings of the Geo-Informatics in Resource Management and Sustainable Ecosystem, 2014
Perturbing event logs to identify cost reduction opportunities: A genetic algorithm-based approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Proceedings of the Business Process Management Workshops, 2014
Proceedings of the Business Process Management Workshops, 2014
Proceedings of the Business Process Management - 12th International Conference, 2014
2013
IEEE Trans. Knowl. Data Eng., 2013
A comprehensive benchmarking framework (CoBeFra) for conformance analysis between procedural process models and event logs in ProM.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013
An Exploratory Approach for Understanding Customer Behavior Processes Based on Clustering and Sequence Mining.
Proceedings of the Business Process Management Workshops, 2013
Proceedings of the 3rd Business Process Intelligence Challenge co-located with 9th International Business Process Intelligence Workshop (BPI 2013), 2013
Uncovering the Relationship Between Event Log Characteristics and Process Discovery Techniques.
Proceedings of the Business Process Management Workshops, 2013
Validating and Enhancing Declarative Business Process Models Based on Allowed and Non-occurring Past Behavior.
Proceedings of the Business Process Management Workshops, 2013
2012
Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the Advanced Information Systems Engineering, 2012
On the Distinction between Truthful, Invisible, False and Unobserved Events An Event Existence Classification Framework and the Impact on Business Process Analytics Related Research Areas.
Proceedings of the 18th Americas Conference on Information Systems, 2012
2011
Data mining methods for classification of Medium-Chain Acyl-CoA dehydrogenase deficiency (MCADD) using non-derivatized tandem MS neonatal screening data.
J. Biomed. Informatics, 2011