| 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 | 296 | 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 | 227 | 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 | 221 | 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 | 207 | 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 | 179 | 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 | 127 | 2011 |
| Fodina: A robust and flexible heuristic process discovery technique SKLM vanden Broucke, J De Weerdt decision support systems 100, 109-118, 2017 | 123 | 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 | 102 | 2011 |
| 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 | 92 | 2016 |
| 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 | 91 | 2018 |
| 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 | 86 | 2013 |
| Recommendations for enhancing the usability and understandability of process mining in healthcare N Martin, J De Weerdt, C Fernández-Llatas, A Gal, R Gatta, G Ibáñez, ... Artificial Intelligence in Medicine 109, 101962, 2020 | 79 | 2020 |
| Process outcome prediction: CNN vs. LSTM (with attention) H Weytjens, J De Weerdt International Conference on Business Process Management, 321-333, 2020 | 71 | 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 | 70 | 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 | 67 | 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 | 66 | 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 | 64 | 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 | 62 | 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 | 51 | 2018 |
| Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes J De Weerdt, S vanden Broucke, J Vanthienen, B Baesens 2012 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2012 | 45* | 2012 |
Bart BaesensFull professor, KU LeuvenVerified email at kuleuven.be
