| The predictive power of public Twitter sentiment for forecasting cryptocurrency prices O Kraaijeveld, J De Smedt Journal of International Financial Markets, Institutions and Money 65, 101188, 2020 | 432 | 2020 |
| Citizen participation in smart cities: Evaluation framework proposal A Simonofski, ES Asensio, J De Smedt, M Snoeck 2017 IEEE 19th conference on business informatics (CBI) 1, 227-236, 2017 | 167 | 2017 |
| Hearing the voice of citizens in smart city design: the citivoice framework A Simonofski, E Serral Asensio, J De Smedt, M Snoeck Business & Information Systems Engineering 61, 665-678, 2019 | 89 | 2019 |
| Consistent integration of decision (DMN) and process (BPMN) models L Janssens, E Bazhenova, J De Smedt, J Vanthienen, M Denecker Proceedings of the CAiSE'16 Forum, at the 28th International Conference on …, 2016 | 67 | 2016 |
| Augmenting processes with decision intelligence: Principles for integrated modelling F Hasić, J De Smedt, J Vanthienen Decision Support Systems 107, 1-12, 2018 | 63 | 2018 |
| Vitamin D supplementation in cutaneous malignant melanoma outcome (ViDMe): a randomized controlled trial J De Smedt, S Van Kelst, V Boecxstaens, M Stas, K Bogaerts, ... BMC cancer 17, 1-10, 2017 | 49 | 2017 |
| Towards a holistic discovery of decisions in process-aware information systems J De Smedt, F Hasić, SKLM vanden Broucke, J Vanthienen Business Process Management: 15th International Conference, BPM 2017 …, 2017 | 47 | 2017 |
| Fusion miner: Process discovery for mixed-paradigm models J De Smedt, J De Weerdt, J Vanthienen Decision Support Systems 77, 123-136, 2015 | 47 | 2015 |
| Dropout prediction in MOOCs: a comparison between process and sequence mining G Deeva, J De Smedt, P De Koninck, J De Weerdt Business Process Management Workshops: BPM 2017 International Workshops …, 2018 | 43 | 2018 |
| Context-adaptive Petri nets: Supporting adaptation for the execution context E Serral, J De Smedt, M Snoeck, J Vanthienen Expert Systems with Applications 42 (23), 9307-9317, 2015 | 43 | 2015 |
| Holistic discovery of decision models from process execution data J De Smedt, F Hasić, SKLM vanden Broucke, J Vanthienen Knowledge-Based Systems 183, 104866, 2019 | 41 | 2019 |
| Mining behavioral sequence constraints for classification J De Smedt, G Deeva, J De Weerdt IEEE Transactions on Knowledge and Data Engineering 32 (6), 1130-1142, 2019 | 41 | 2019 |
| Towards assessing the theoretical complexity of the decision model and notation (DMN) F Hasic, J De Smedt, J Vanthienen Business Process Modeling, Development, and Support, 2017 | 38 | 2017 |
| Mixed-paradigm process modeling with intertwined state spaces J De Smedt, J De Weerdt, J Vanthienen, G Poels Business & Information Systems Engineering 58 (1), 19-29, 2016 | 37 | 2016 |
| Conformance checking of mixed-paradigm process models BF van Dongen, J De Smedt, C Di Ciccio, J Mendling Information Systems 102, 101685, 2021 | 33 | 2021 |
| Quantifying explainability in outcome-oriented predictive process monitoring A Stevens, J De Smedt, J Peeperkorn International Conference on Process Mining, 194-206, 2021 | 32 | 2021 |
| Shopping hard or hardly shopping: Revealing consumer segments using clickstream data M Zavali, E Lacka, J De Smedt IEEE Transactions on Engineering Management 70 (4), 1353-1364, 2021 | 30 | 2021 |
| Improving Understandability of Declarative Process Models by Revealing Hidden Dependencies J De Smedt, J De Weerdt, E Serral, J Vanthienen Advanced information Systems Engineering, 83-98, 2016 | 30 | 2016 |
| Predicting student performance using sequence classification with time-based windows G Deeva, J De Smedt, C Saint-Pierre, R Weber, J De Weerdt Expert Systems with Applications 209, 118182, 2022 | 28 | 2022 |
| Discovering hidden dependencies in constraint-based declarative process models for improving understandability J De Smedt, J De Weerdt, E Serral, J Vanthienen Information Systems 74, 40-52, 2018 | 28 | 2018 |
Jan VanthienenKU LeuvenPreverjeni e-poštni naslov na kuleuven.be