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Johannes De Smedt
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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
4032020
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
1592017
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
862019
Consistent Integration of Decision (DMN) and Process (BPMN) Models.
L Janssens, E Bazhenova, J De Smedt, J Vanthienen, M Denecker
CAiSE forum 1612, 121-128, 2016
692016
Augmenting processes with decision intelligence: Principles for integrated modelling
F Hasić, J De Smedt, J Vanthienen
Decision Support Systems 107, 1-12, 2018
622018
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
462017
Fusion miner: Process discovery for mixed-paradigm models
J De Smedt, J De Weerdt, J Vanthienen
Decision Support Systems 77, 123-136, 2015
462015
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
432015
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
412019
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
412019
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
412018
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
392017
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
342016
Conformance checking of mixed-paradigm process models
BF van Dongen, J De Smedt, C Di Ciccio, J Mendling
Information Systems 102, 101685, 2021
312021
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
302022
Quantifying explainability in outcome-oriented predictive process monitoring
A Stevens, J De Smedt, J Peeperkorn
International Conference on Process Mining, 194-206, 2021
302021
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
292016
Challenges in refactoring processes to include decision modelling
F Hasić, L Devadder, M Dochez, J Hanot, J De Smedt, J Vanthienen
Business Process Management Workshops: BPM 2017 International Workshops …, 2018
282018
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
272021
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
262018
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