Jochen De Weerdt
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A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs
J De Weerdt, M De Backer, J Vanthienen, B Baesens
Information systems 37 (7), 654-676, 2012
Using sentiment analysis to predict interday Bitcoin price movements
V Karalevicius, N Degrande, J De Weerdt
The Journal of Risk Finance 19 (1), 56-75, 2018
Active trace clustering for improved process discovery
J De Weerdt, S Vanden Broucke, J Vanthienen, B Baesens
Knowledge and Data Engineering, IEEE Transactions on 25 (12), 2708-2720, 2013
Process Mining for the multi-faceted analysis of business processes—A case study in a financial services organization
J De Weerdt, A Schupp, A Vanderloock, B Baesens
Computers in Industry 64 (1), 57-67, 2013
A review of automated feedback systems for learners: Classification framework, challenges and opportunities
G Deeva, D Bogdanova, E Serral, M Snoeck, J De Weerdt
Computers & Education 162, 104094, 2021
A robust F-measure for evaluating discovered process models
J De Weerdt, M De Backer, J Vanthienen, B Baesens
2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM†…, 2011
Fodina: A robust and flexible heuristic process discovery technique
SKLM vanden Broucke, J De Weerdt
decision support systems 100, 109-118, 2017
Process discovery in event logs: An application in the telecom industry
S Goedertier, J De Weerdt, D Martens, J Vanthienen, B Baesens
Applied Soft Computing 11 (2), 1697-1710, 2011
act2vec, trace2vec, log2vec, and model2vec: Representation Learning for Business Processes
P De Koninck, S vanden Broucke, J De Weerdt
International conference on business process management, 305-321, 2018
Process-mining enabled feedback:“tell me what I did wrong” vs.“tell me how to do it right”
G Sedrakyan, J De Weerdt, M Snoeck
Computers in human behavior 57, 352-376, 2016
Determining process model precision and generalization with weighted artificial negative events
S Vanden Broucke, J De Weerdt, J Vanthienen, B Baesens
IEEE Transactions on Knowledge and Data Engineering 26 (8), 1877-1888, 2013
Recommendations for enhancing the usability and understandability of process mining in healthcare
N Martin, J De Weerdt, C FernŠndez-Llatas, A Gal, R Gatta, G IbŠŮez, ...
Artificial Intelligence in Medicine 109, 101962, 2020
Process outcome prediction: CNN vs. LSTM (with attention)
H Weytjens, J De Weerdt
International Conference on Business Process Management, 321-333, 2020
A process mining-based investigation of adverse events in care processes
F Caron, J Vanthienen, K Vanhaecht, E Van Limbergen, J Deweerdt, ...
Health Information Management Journal 43 (1), 16-25, 2014
Process mining analysis of conceptual modeling behavior of novices–empirical study using JMermaid modeling and experimental logging environment
G Sedrakyan, M Snoeck, J De Weerdt
Computers in Human Behavior 41, 486-503, 2014
Monitoring care processes in the gynecologic oncology department
F Caron, J Vanthienen, K Vanhaecht, E Van Limbergen, J De Weerdt, ...
Computers in biology and medicine 44, 88-96, 2014
Combining temporal aspects of dynamic networks with node2vec for a more efficient dynamic link prediction
S De Winter, T Decuypere, S Mitrović, B Baesens, J De Weerdt
2018 IEEE/ACM international conference on advances in social networks†…, 2018
CATCHM: A novel network-based credit card fraud detection method using node representation learning
R Van Belle, B Baesens, J De Weerdt
Decision Support Systems 164, 113866, 2023
On the operational efficiency of different feature types for telco Churn prediction
S Mitrović, B Baesens, W Lemahieu, J De Weerdt
European Journal of Operational Research 267 (3), 1141-1155, 2018
Fusion miner: Process discovery for mixed-paradigm models
J De Smedt, J De Weerdt, J Vanthienen
Decision Support Systems 77, 123-136, 2015
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