Johannes De Smedt - Citegraph

Author Info

Name	Affiliation	Papers
JOHANNES DE SMEDT	Katholieke Univ Leuven, Fac Econ & Business, Dept Decis Sci & Informat Management, B-3000 Leuven, Belgium	33
Collaborators	Citations	PageRank
38	76	13.04
Referers	Referees	References
143	503	372

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100503

Publications (33 rows)

Collaborators (38 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Decision as a Service (DaaS): A Service-Oriented Architecture Approach for Decisions in Processes	0	0.34	2022
Process Model Forecasting Using Time Series Analysis of Event Sequence Data	0	0.34	2021
Conformance checking of mixed-paradigm process models	0	0.34	2021
Session stitching using sequence fingerprinting for web page visits	0	0.34	2021
Mining Behavioral Sequence Constraints for Classification	1	0.35	2020
Holistic discovery of decision models from process execution data.	1	0.38	2019
Hearing the Voice of Citizens in Smart City Design: The CitiVoice Framework	1	0.34	2019
Redesigning Processes for Decision-Awareness: Strategies for Integrated Modelling	0	0.34	2018
Discovering hidden dependencies in constraint-based declarative process models for improving understandability.	3	0.39	2018
Augmenting processes with decision intelligence: Principles for integrated modelling.	7	0.54	2018
Citizen Participation in Smart Cities: Evaluation Framework Proposal	6	0.63	2017
Behavioral Constraint Template-Based Sequence Classification.	0	0.34	2017
Developing a Modelling and Mining Framework for Integrated Processes and Decisions.	0	0.34	2017
Challenges in Refactoring Processes to Include Decision Modelling.	5	0.45	2017
Towards a Holistic Discovery of Decisions in Process-Aware Information Systems.	6	0.52	2017
Support for Verifying Pervasive Behavior by Mapping Task Models to Petri Nets.	0	0.34	2017
A Service-Oriented Architecture Design of Decision-Aware Information Systems: Decision as a Service - (Short Paper).	0	0.34	2017
Dropout Prediction in MOOCs: A Comparison Between Process and Sequence Mining.	1	0.36	2017
Towards Assessing the Theoretical Complexity of the Decision Model and Notation (DMN).	3	0.40	2017
Studies on declarative process modeling and its relation to procedural techniques.	0	0.34	2017
Decision Mining in a Broader Context: An Overview of the Current Landscape and Future Directions.	0	0.34	2016
Mixed-Paradigm Process Modeling with Intertwined State Spaces.	10	0.50	2016
Consistent Integration of Decision (DMN) and Process (BPMN) Models.	10	0.66	2016
Model Checking of Mixed-Paradigm Process Models in a Discovery Context - Finding the Fit Between Declarative and Procedural.	1	0.34	2016
Improving Understandability of Declarative Process Models by Revealing Hidden Dependencies.	8	0.45	2016
Modeling and Enacting Enterprise Decisions.	3	0.45	2016
Erratum to: Mixed-Paradigm Process Modeling with Intertwined State Spaces	0	0.34	2016
Gamification of Declarative Process Models for Learning and Model Verification.	2	0.38	2015
Context-adaptive Petri nets: Supporting adaptation for the execution context	1	0.36	2015
Fusion Miner: Process discovery for mixed-paradigm models.	6	0.44	2015
Multi-paradigm Process Mining: Retrieving Better Models by Combining Rules and Sequences - (Short Paper).	0	0.34	2014
Making Business Environments Smarter: A Context-Adaptive Petri Net Approach	0	0.34	2014
Extending CPN Tools with Ontologies to Support the Management of Context-Adaptive Business Processes.	1	0.36	2014