Procedural Decision Support Through The Use of PRODEMO. - Rudolf Maes; Jan Vanthienen; Maurice Verhelst (ICIS, 1981)

A note on English for decision tables considered harmful and the nested IF-THEN-ELSE. - Jan Vanthienen (ACM SIGPLAN Notices, 1985)

Simulation of intrafascicular and extraneural nerve stimulation. - Peter H. Veltink; Jan Vanthienen; Herman B. K. Boom (IEEE Trans. Biomed. Eng., 1988)

An Expert System Interface for Consultation of Decision Table Systems. - F. Hazevoets; B. Vanhoutte; Jan Vanthienen (DEXA, 1990)

Developing Legal Knowledge Based Systems Using Decision Tables. - Jan Vanthienen; F. Robben (ICAIL, 1993)

Restructuring and Optimizing Knowledge Representations. - Jan Vanthienen; Geert Wets (ICTAI, 1994)

Managing decision table knowledge in a relational database environment. - Jan Vanthienen; Geert Wets (SEKE, 1994)

From Decision Tables to Expert System Shells. - Jan Vanthienen; Geert Wets (Data Knowl. Eng., 1994)

Illustration of a Decision Table Tool for Specifying and Implementing Knowledge Based Systems. - Jan Vanthienen; Elke Dries (Int. J. Artif. Intell. Tools, 1994)

A Modeling Approach to KBS Verification. - Jan Vanthienen; Ann Aerts; Christophe Mues; Geert Wets (EUROVAV, 1995)

Restructuring and simplifying rule bases. - Jan Vanthienen; Elke Dries (ICTAI, 1995)

Integration of the Decision Table Formalism with a Relational Environment - Jan Vanthienen; Geert Wets (Inf. Syst., 1995)

A General Framework for Positioning, Evaluating and Selecting the New Generation of Development Tools. - Jan Vanthienen; Stephan Poelmans (EUROMICRO, 1996)

Integrating Statistical Audit Evidence with Belief Function Theory. - Carine Van den Acker; Jan Vanthienen (FAPR, 1996)

Clustering Knowledge in Tabular Knowledge Bases. - Jan Vanthienen; Elke Dries; Jeroen Keppens (ICTAI, 1996)

Incorporating fuzziness in the classical decision table formalism. - Jan Vanthienen; Geert Wets; Guoqing Chen (Int. J. Intell. Syst., 1996)

Inter-Tabular Verification in an Interactive Environment. - Jan Vanthienen; Christophe Mues; Geert Wets (EUROVAV, 1997)

Extracting complete and consistent knowledge patterns from data. - Geert Wets; Jan Vanthienen; Christophe Mues; Harry J. P. Timmermans (EUROVAV, 1998)

Modelling Decision Tables from Data. - Geert Wets; Jan Vanthienen; Harry J. P. Timmermans (PAKDD, 1998)

Verification and Validation of Knowledge-Based Systems: Report on Two 1997 Events. - Grigoris Antoniou; Frank van Harmelen; Robert Plant; Jan Vanthienen (AI Mag., 1998)

An Illustration of Verification and Validation in the Modelling Phase of KBS Development. - Jan Vanthienen; Christophe Mues; Ann Aerts (Data Knowl. Eng., 1998)

Illustrating Knowledge Base Restructuring and Verification in a Real World Application. - Jan Vanthienen; Ana María Moreno García (EUROVAV, 1999)

Wrapped Feature Selection by Means of Guided Neural Network Optimization. - Bart Baesens; Stijn Viaene; Jan Vanthienen; Guido Dedene (ICPR, 2000)

An empirical assessment of kernel type performance for least squares support vector machine classifiers. - Bart Baesens; Stijn Viaene; Tony Van Gestel; Johan A. K. Suykens; Guido Dedene; Bart De Moor; Jan Vanthienen (KES, 2000)

Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case. - Stijn Viaene; Bart Baesens; Tony Van Gestel; Johan A. K. Suykens; Dirk Van den Poel; Jan Vanthienen; Bart De Moor; Guido Dedene (PKDD, 2000)

A synthesis of fuzzy rule-based system verification. - Stijn Viaene; Geert Wets; Jan Vanthienen (Fuzzy Sets Syst., 2000)

Improving a neuro-fuzzy classifier using exploratory factor analysis. - Jurgen Martens; Geert Wets; Jan Vanthienen; Christophe Mues (Int. J. Intell. Syst., 2000)

Validation and verification of knowledge-based systems: report on EUROVAV99. - Frans Coenen; Trevor J. M. Bench-Capon; Robin Boswell; Juliette Dibie-Barthélemy; Barry Eaglestone; Rik Gerrits; Éric Grégoire; Antoni Ligeza; Luis M. Laita; Mieczyslaw L. Owoc; Florence Sellini; Silvie Spreeuwenberg; et al. (Knowl. Eng. Rev., 2000)

Building Credit-Risk Evaluation Expert Systems Using Neural Network Rule Extraction and Decision Tables. - Bart Baesens; Rudy Setiono; Christophe Mues; Stijn Viaene; Jan Vanthienen (ICIS, 2001)

Knowledge discovery in a direct marketing case using least squares support vector machines. - Stijn Viaene; Bart Baesens; Tony Van Gestel; Johan A. K. Suykens; Dirk Van den Poel; Jan Vanthienen; Bart De Moor; Guido Dedene (Int. J. Intell. Syst., 2001)

Wrapped input selection using multilayer perceptrons for repeat-purchase modeling in direct marketing. - Stijn Viaene; Bart Baesens; Dirk Van den Poel; Guido Dedene; Jan Vanthienen (Intell. Syst. Account. Finance Manag., 2001)

Proof Running Two State-Of-The-Art Pattern Recognition Techniques in the Field of Direct Marketing. - Stijn Viaene; Bart Baesens; Guido Dedene; Jan Vanthienen; Dirk Van den Poel (ICEIS, 2002)

Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search. - Bart Baesens; Michael Egmont-Petersen; Robert Castelo; Jan Vanthienen (ICPR (3), 2002)

Bayesian neural network learning for repeat purchase modelling in direct marketing. - Bart Baesens; Stijn Viaene; Dirk Van den Poel; Jan Vanthienen; Guido Dedene (Eur. J. Oper. Res., 2002)

Comparing a genetic fuzzy and a neurofuzzy classifier for credit scoring. - Frank Hoffmann; Bart Baesens; Jurgen Martens; Ferdi Put; Jan Vanthienen (Int. J. Intell. Syst., 2002)

Bankruptcy prediction with least squares support vector machine classifiers. - Tony Van Gestel; Bart Baesens; Johan A. K. Suykens; Marcelo Espinoza; Dirk-Emma Baestaens; Jan Vanthienen; Bart De Moor (CIFEr, 2003)

Building Intelligent Credit Scoring Systems Using Decision Tables. - Bart Baesens; Christophe Mues; Manu De Backer; Jan Vanthienen; Rudy Setiono (ICEIS (2), 2003)

Benchmarking state-of-the-art classification algorithms for credit scoring. - Bart Baesens; Tony Van Gestel; Stijn Viaene; M. Stepanova; Johan A. K. Suykens; Jan Vanthienen (J. Oper. Res. Soc., 2003)

Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation. - Bart Baesens; Rudy Setiono; Christophe Mues; Jan Vanthienen (Manag. Sci., 2003)

Efficient Rule Base Verification Using Binary Decision Diagrams. - Christophe Mues; Jan Vanthienen (DEXA, 2004)

Organizing Decentralized Support for a Virtual Learning Environment. - Joke Tisaun; Herman Buelens; Jan Vanthienen (CELDA, 2004)

Web Usage Mining with Time Constrained Association Rules. - Johan Huysmans; Christophe Mues; Jan Vanthienen; Bart Baesens (ICEIS (2), 2004)

Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams. - Christophe Mues; Johan Huysmans; Jan Vanthienen; Bart Baesens (ICEIS (Selected Papers), 2004)

Improving the Scalability of Rule Base Verification Using Binary Decision Diagrams: An Empirical Study. - Christophe Mues; Jan Vanthienen (KI, 2004)

Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers. - Bart Baesens; Geert Verstraeten; Dirk Van den Poel; Michael Egmont-Petersen; Patrick Van Kenhove; Jan Vanthienen (Eur. J. Oper. Res., 2004)

Decision diagrams in machine learning: an empirical study on real-life credit-risk data. - Christophe Mues; Bart Baesens; Craig M. Files; Jan Vanthienen (Expert Syst. Appl., 2004)

Benchmarking Least Squares Support Vector Machine Classifiers. - Tony Van Gestel; Johan A. K. Suykens; Bart Baesens; Stijn Viaene; Jan Vanthienen; Guido Dedene; Bart De Moor; Joos Vandewalle (Mach. Learn., 2004)

A Comprehensible SOM-Based Scoring System. - Johan Huysmans; Bart Baesens; Jan Vanthienen (MLDM, 2005)

From Knowledge Discovery to Implementation: A Business Intelligence Approach Using Neural Network Rule Extraction and Decision Tables. - Christophe Mues; Bart Baesens; Rudy Setiono; Jan Vanthienen (Wissensmanagement (LNCS Volume), 2005)

From Knowledge Discovery to Implementation: Developing Business Intelligence Systems using Decision Tables. - Christophe Mues; Bart Baesens; Jan Vanthienen (Wissensmanagement, 2005)

Filter- versus wrapper-based feature selection for credit scoring. - Petr Somol; Bart Baesens; Pavel Pudil; Jan Vanthienen (Int. J. Intell. Syst., 2005)

Neural network survival analysis for personal loan data. - Bart Baesens; Tony Van Gestel; M. Stepanova; Dirk Van den Poel; Jan Vanthienen (J. Oper. Res. Soc., 2005)

Knowledge Integration in Information Systems Education Through an (Inter)active Platform of Analysis and Modelling Case Studies. - Birger Weynants; Jan Vanthienen; Joke Tisaun (ADVIS, 2006)

Ant-Based Approach to the Knowledge Fusion Problem. - David Martens; Manu De Backer; Raf Haesen; Bart Baesens; Christophe Mues; Jan Vanthienen (ANTS Workshop, 2006)

Assessing the State of the Art of Commercial Tools for Unstructured Information Exploitation. - Jan De Beer; Nishant Kumar 004; Marie-Francine Moens; Jan Vanthienen (BIS, 2006)

Business Rules for Compliant Business Process Models. - Stijn Goedertier; Jan Vanthienen (BIS, 2006)

Designing Compliant Business Processes with Obligations and Permissions. - Stijn Goedertier; Jan Vanthienen (Business Process Management Workshops, 2006)

Compliant and Flexible Business Processes with Business Rules. - Stijn Goedertier; Jan Vanthienen (BPMDS, 2006)

Experiences with Modeling and Verification of Regulations. - Jan Vanthienen; Christophe Mues; Stijn Goedertier (ReMo2V, 2006)

ITER: An Algorithm for Predictive Regression Rule Extraction. - Johan Huysmans; Bart Baesens; Jan Vanthienen (DaWaK, 2006)

Multi-Criteria Evaluation of Information Retrieval Tools. - Nishant Kumar 004; Jan Vanthienen; Jan De Beer; Marie-Francine Moens (ICEIS (2), 2006)

Evaluation of Web Robot Discovery Techniques: A Benchmarking Study. - Nick Geens; Johan Huysmans; Jan Vanthienen (ICDM, 2006)

Intelligent Information Retrieval Tools for Police. - Nishant Kumar 004; Jan De Beer; Jan Vanthienen; Marie-Francine Moens (ISI, 2006)

Evaluation of Information Retrieval and Text Mining Tools on Automatic Named Entity Extraction. - Nishant Kumar 004; Jan De Beer; Jan Vanthienen; Marie-Francine Moens (ISI, 2006)

Country Corruption Analysis with Self Organizing Maps and Support Vector Machines. - Johan Huysmans; David Martens; Bart Baesens; Jan Vanthienen; Tony Van Gestel (WISI, 2006)

A process model to develop an internal rating system: Sovereign credit ratings. - Tony Van Gestel; Bart Baesens; Peter Van Dijcke; Joao Garcia; Johan A. K. Suykens; Jan Vanthienen (Decis. Support Syst., 2006)

Special issue on intelligent information systems for financial engineering. - Bart Baesens; Christophe Mues; Tony Van Gestel; Jan Vanthienen (Expert Syst. Appl., 2006)

Failure prediction with self organizing maps. - Johan Huysmans; Bart Baesens; Jan Vanthienen; Tony Van Gestel (Expert Syst. Appl., 2006)

Process Mining as First-Order Classification Learning on Logs with Negative Events. - Stijn Goedertier; David Martens; Bart Baesens; Raf Haesen; Jan Vanthienen (Business Process Management Workshops, 2007)

A Vocabulary and Execution Model for Declarative Service Orchestration. - Stijn Goedertier; Jan Vanthienen (Business Process Management Workshops, 2007)

Declarative Process Modeling with Business Vocabulary and Business Rules. - Stijn Goedertier; Jan Vanthienen (OTM Workshops (1), 2007)

Specifying Process-Aware Access Control Rules in SBVR. - Stijn Goedertier; Christophe Mues; Jan Vanthienen (RuleML, 2007)

A new approach for measuring rule set consistency. - Johan Huysmans; Bart Baesens; Jan Vanthienen (Data Knowl. Eng., 2007)

Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms. - Frank Hoffmann; Bart Baesens; Christophe Mues; Tony Van Gestel; Jan Vanthienen (Eur. J. Oper. Res., 2007)

Comprehensible credit scoring models using rule extraction from support vector machines. - David Martens; Bart Baesens; Tony Van Gestel; Jan Vanthienen (Eur. J. Oper. Res., 2007)

Classification With Ant Colony Optimization. - David Martens; Manu De Backer; Raf Haesen; Jan Vanthienen; Monique Snoeck; Bart Baesens (IEEE Trans. Evol. Comput., 2007)

Semantic Decision Tables: Self-organizing and Reorganizable Decision Tables. - Yan Tang; Robert Meersman; Jan Vanthienen (DEXA, 2008)

Predicting going concern opinion with data mining. - David Martens; Liesbeth Bruynseels; Bart Baesens; Marleen Willekens; Jan Vanthienen (Decis. Support Syst., 2008)

Rule-based business process modelling and enactment. - Stijn Goedertier; Raf Haesen; Jan Vanthienen (Int. J. Bus. Process. Integr. Manag., 2008)

Minerva: Sequential Covering for Rule Extraction. - Johan Huysmans; Rudy Setiono; Bart Baesens; Jan Vanthienen (IEEE Trans. Syst. Man Cybern. Part B, 2008)

A Data Miner's Approach to Country Corruption Analysis. - Johan Huysmans; Bart Baesens; Jan Vanthienen (Intelligence and Security Informatics, 2008)

Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring. - David Martens; Johan Huysmans; Rudy Setiono; Jan Vanthienen; Bart Baesens (Rule Extraction from Support Vector Machines, 2008)

Robust Process Discovery with Artificial Negative Events. - Stijn Goedertier; David Martens; Jan Vanthienen; Bart Baesens (J. Mach. Learn. Res., 2009)

50 years of data mining and OR: upcoming trends and challenges. - Bart Baesens; Christophe Mues; David Martens; Jan Vanthienen (J. Oper. Res. Soc., 2009)

Unified Patterns to Transform Business Rules into an Event Coordination Mechanism. - Willem De Roover; Jan Vanthienen (Business Process Management Workshops, 2010)

A Critical Evaluation Study of Model-Log Metrics in Process Discovery. - Jochen De Weerdt; Manu De Backer; Jan Vanthienen; Bart Baesens (Business Process Management Workshops, 2010)

A Transformation from SBVR Business Rules into Event Coordinated Rules by Means of SBVR Patterns. - Willem De Roover; Jan Vanthienen (ServiceWave Workshops, 2010)

Credit rating prediction using Ant Colony Optimization. - David Martens; Tony Van Gestel; Manu De Backer; Raf Haesen; Jan Vanthienen; Bart Baesens (J. Oper. Res. Soc., 2010)

Process Mining Manifesto. - Wil M. P. van der Aalst; Arya Adriansyah; Ana Karla Alves de Medeiros; Franco Arcieri; Thomas Baier 001; Tobias Blickle; R. P. Jagadeesh Chandra Bose; Peter van den Brand; Ronald Brandtjen; Joos C. A. M. Buijs; Andrea Burattin; Josep Carmona 001; et al. (Business Process Management Workshops (1), 2011)

Advanced Care-Flow Mining and Analysis. - Filip Caron; Jan Vanthienen; Jochen De Weerdt; Bart Baesens (Business Process Management Workshops (1), 2011)

A Prototype Tool for the Event-Driven Enforcement of SBVR Business Rules. - Willem De Roover; Filip Caron; Jan Vanthienen (Business Process Management Workshops (1), 2011)

An Exploratory Approach to Process Lifecycle Transitions from a Paradigm-Based Perspective. - Filip Caron; Jan Vanthienen (BMMDS/EMMSAD, 2011)

A robust F-measure for evaluating discovered process models. - Jochen De Weerdt; Manu De Backer; Jan Vanthienen; Bart Baesens (CIDM, 2011)

SWWS 2011, MONET 2011 and SeDeS 2011 PC Co-chairs' Message. - Ernesto Damiani; Elizabeth Chang 001; Patrizia Grifoni; Fernando Ferri; Irina Kondratova; Arianna D'Ulizia; Yan Tang; Jan Vanthienen (OTM Workshops, 2011)

On the Relation between Decision Structures, Tables and Processes. - Willem De Roover; Jan Vanthienen (OTM Workshops, 2011)

Rules, Tables and Decisions: A Family History Tale. - Jan Vanthienen (RuleML America, 2011)

Process discovery in event logs: An application in the telecom industry. - Stijn Goedertier; Jochen De Weerdt; David Martens; Jan Vanthienen; Bart Baesens (Appl. Soft Comput., 2011)

Information mining - Reflections on recent advancements and the road ahead in data, text, and media mining. - Ram D. Gopal; James R. Marsden; Jan Vanthienen (Decis. Support Syst., 2011)

An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models. - Johan Huysmans; Karel Dejaeger; Christophe Mues; Jan Vanthienen; Bart Baesens (Decis. Support Syst., 2011)

Performance of classification models from a user perspective. - David Martens; Jan Vanthienen; Wouter Verbeke; Bart Baesens (Decis. Support Syst., 2011)

On the Distinction between Truthful, Invisible, False and Unobserved Events An Event Existence Classification Framework and the Impact on Business Process Analytics Related Research Areas. - Filip Caron; Seppe K. L. M. vanden Broucke; Jan Vanthienen; Bart Baesens (AMCIS, 2012)

Improved Artificial Negative Event Generation to Enhance Process Event Logs. - Seppe K. L. M. vanden Broucke; Jochen De Weerdt; Bart Baesens; Jan Vanthienen (CAiSE, 2012)

Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes. - Jochen De Weerdt; Seppe K. L. M. vanden Broucke; Jan Vanthienen; Bart Baesens (IEEE Congress on Evolutionary Computation, 2012)

Moving Across Paradigms between the Process Design and Enactment Phase in Enterprise Information Systems. - Filip Caron; Jan Vanthienen (ICEIS (3), 2012)

Rule-Based Business Process Mining: Applications for Management. - Filip Caron; Jan Vanthienen; Bart Baesens (IS-MiS, 2012)

SeDeS 2012 PC Co-chairs Message. - Yan Tang Demey; Jan Vanthienen (OTM Workshops, 2012)

Modeling Decision Structures and Dependencies. - Feng Wu; Laura Priscilla; Mingji Gao; Filip Caron; Willem De Roover; Jan Vanthienen (OTM Workshops, 2012)

Getting a Grasp on Clinical Pathway Data: An Approach Based on Process Mining. - Jochen De Weerdt; Filip Caron; Jan Vanthienen; Bart Baesens (PAKDD Workshops, 2012)

A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs. - Jochen De Weerdt; Manu De Backer; Jan Vanthienen; Bart Baesens (Inf. Syst., 2012)

Validating and Enhancing Declarative Business Process Models Based on Allowed and Non-occurring Past Behavior. - Seppe K. L. M. vanden Broucke; Filip Caron; Jan Vanthienen; Bart Baesens (Business Process Management Workshops, 2013)

Uncovering the Relationship Between Event Log Characteristics and Process Discovery Techniques. - Seppe K. L. M. vanden Broucke; Cédric Delvaux; João Freitas; Taisiia Rogova; Jan Vanthienen; Bart Baesens (Business Process Management Workshops, 2013)

Volvo IT Belgium VINST. - Seppe vanden Broucke; Jan Vanthienen; Bart Baesens (BPIC@BPM, 2013)

An Exploratory Approach for Understanding Customer Behavior Processes Based on Clustering and Sequence Mining. - Alex Seret; Seppe K. L. M. vanden Broucke; Bart Baesens; Jan Vanthienen (Business Process Management Workshops, 2013)

Investigating Service Behavior Variance in Port Logistics from a Process Perspective. - Ying Wang 036; Filip Caron; Jan Vanthienen; Lei Huang 016; Yi Guo (Business Process Management Workshops, 2013)

A comprehensive benchmarking framework (CoBeFra) for conformance analysis between procedural process models and event logs in ProM. - Seppe K. L. M. vanden Broucke; Jochen De Weerdt; Jan Vanthienen; Bart Baesens (CIDM, 2013)

Business Rule Patterns and Their Application to Process Analytics. - Filip Caron; Jan Vanthienen; Bart Baesens (EDOC Workshops, 2013)

Modeling Business Decisions and Processes - Which Comes First?. - Jan Vanthienen; Filip Caron (KDIR/KMIS, 2013)

SeDeS 2013 PC Co-Chairs Message. - Avi Wasser; Jan Vanthienen (OTM Workshops, 2013)

A comprehensive investigation of the applicability of process mining techniques for enterprise risk management. - Filip Caron; Jan Vanthienen; Bart Baesens (Comput. Ind., 2013)

Comprehensive rule-based compliance checking and risk management with process mining. - Filip Caron; Jan Vanthienen; Bart Baesens (Decis. Support Syst., 2013)

Active Trace Clustering for Improved Process Discovery. - Jochen De Weerdt; Seppe K. L. M. vanden Broucke; Jan Vanthienen; Bart Baesens (IEEE Trans. Knowl. Data Eng., 2013)

Extending CPN Tools with Ontologies to Support the Management of Context-Adaptive Business Processes. - Estefanía Serral; Johannes De Smedt; Jan Vanthienen (Business Process Management Workshops, 2014)

Towards Location-Aware Process Modeling and Execution. - Xinwei Zhu; Guobin Zhu; Seppe K. L. M. vanden Broucke; Jan Vanthienen; Bart Baesens (Business Process Management Workshops, 2014)

Declarative process discovery with evolutionary computing. - Seppe K. L. M. vanden Broucke; Jan Vanthienen; Bart Baesens (IEEE Congress on Evolutionary Computation, 2014)

Event-Based Real-Time Decomposed Conformance Analysis. - Seppe K. L. M. vanden Broucke; Jorge Munoz-Gama; Josep Carmona 001; Bart Baesens; Jan Vanthienen (OTM Conferences, 2014)

Multi-paradigm Process Mining: Retrieving Better Models by Combining Rules and Sequences - (Short Paper). - Johannes De Smedt; Jochen De Weerdt; Jan Vanthienen (OTM Conferences, 2014)

Making Business Environments Smarter: A Context-Adaptive Petri Net Approach. - Estefanía Serral; Johannes De Smedt; Jan Vanthienen (UIC/ATC/ScalCom, 2014)

Monitoring care processes in the gynecologic oncology department. - Filip Caron; Jan Vanthienen; Kris Vanhaecht; Erik van Limbergen; Jochen De Weerdt; Bart Baesens (Comput. Biol. Medicine, 2014)

A dynamic understanding of customer behavior processes based on clustering and sequence mining. - Alex Seret; Seppe K. L. M. vanden Broucke; Bart Baesens; Jan Vanthienen (Expert Syst. Appl., 2014)

Acquiring logistics process intelligence: Methodology and an application for a Chinese bulk port. - Ying Wang 036; Filip Caron; Jan Vanthienen; Lei Huang 016; Yi Guo (Expert Syst. Appl., 2014)

Clinical Pathway Analytics. - Filip Caron; Jan Vanthienen; Bart Baesens (J. Inf. Technol. Res., 2014)

Determining Process Model Precision and Generalization with Weighted Artificial Negative Events. - Seppe K. L. M. vanden Broucke; Jochen De Weerdt; Jan Vanthienen; Bart Baesens (IEEE Trans. Knowl. Data Eng., 2014)

Gamification of Declarative Process Models for Learning and Model Verification. - Johannes De Smedt; Jochen De Weerdt; Estefanía Serral; Jan Vanthienen (Business Process Management Workshops, 2015)

On Smart Data, Decisions and Processes. - Jan Vanthienen (KDIR, 2015)

Fusion Miner: Process discovery for mixed-paradigm models. - Johannes De Smedt; Jochen De Weerdt; Jan Vanthienen (Decis. Support Syst., 2015)

Declarative business process modelling: principles and modelling languages. - Stijn Goedertier; Jan Vanthienen; Filip Caron (Enterp. Inf. Syst., 2015)

Context-adaptive Petri nets: Supporting adaptation for the execution context. - Estefanía Serral; Johannes De Smedt; Monique Snoeck; Jan Vanthienen (Expert Syst. Appl., 2015)

A comparative study of social network classifiers for predicting churn in the telecommunication industry. - María Óskarsdóttir; Cristián Bravo; Wouter Verbeke; Carlos Sarraute; Bart Baesens; Jan Vanthienen (ASONAM, 2016)

Decision Mining in a Broader Context: An Overview of the Current Landscape and Future Directions. - Johannes De Smedt; Seppe K. L. M. vanden Broucke; Josué Obregon; Aekyung Kim; Jae-Yoon Jung 001; Jan Vanthienen (Business Process Management Workshops, 2016)

Model Checking of Mixed-Paradigm Process Models in a Discovery Context - Finding the Fit Between Declarative and Procedural. - Johannes De Smedt; Claudio Di Ciccio; Jan Vanthienen; Jan Mendling (Business Process Management Workshops, 2016)

Consistent Integration of Decision (DMN) and Process (BPMN) Models. - Laurent Janssens; Ekaterina Bazhenova; Johannes De Smedt; Jan Vanthienen; Marc Denecker (CAiSE Forum, 2016)

Modeling and Enacting Enterprise Decisions. - Laurent Janssens; Johannes De Smedt; Jan Vanthienen (CAiSE Workshops, 2016)

Improving Understandability of Declarative Process Models by Revealing Hidden Dependencies. - Johannes De Smedt; Jochen De Weerdt; Estefanía Serral; Jan Vanthienen (CAiSE, 2016)

Combining DMN and the Knowledge Base Paradigm for Flexible Decision Enactment. - Ingmar Dasseville; Laurent Janssens; Gerda Janssens; Jan Vanthienen; Marc Denecker (RuleML (Supplement), 2016)

Mixed-Paradigm Process Modeling with Intertwined State Spaces. - Johannes De Smedt; Jochen De Weerdt; Jan Vanthienen; Geert Poels (Bus. Inf. Syst. Eng., 2016)

Erratum to: Mixed-Paradigm Process Modeling with Intertwined State Spaces. - Johannes De Smedt; Jochen De Weerdt; Jan Vanthienen; Geert Poels (Bus. Inf. Syst. Eng., 2016)

A guide for the application of analytics on healthcare processes: A dynamic view on patient pathways. - Jasmien Lismont; Anne-Sophie Janssens; Irina Odnoletkova; Seppe vanden Broucke; Filip Caron; Jan Vanthienen (Comput. Biol. Medicine, 2016)

Enabling flexible location-aware business process modeling and execution. - Xinwei Zhu; Seppe vanden Broucke; Guobin Zhu; Jan Vanthienen; Bart Baesens (Decis. Support Syst., 2016)

Exploring business process modelling paradigms and design-time to run-time transitions. - Filip Caron; Jan Vanthienen (Enterp. Inf. Syst., 2016)

On the gap between reality and registration: a business event analysis classification framework. - Seppe K. L. M. vanden Broucke; Filip Caron; Jasmien Lismont; Jan Vanthienen; Bart Baesens (Inf. Technol. Manag., 2016)

Transformational Issues of Big Data and Analytics in Networked Business. - Bart Baesens; Ravi Bapna; James R. Marsden; Jan Vanthienen; J. Leon Zhao (MIS Q., 2016)

Challenges in Refactoring Processes to Include Decision Modelling. - Faruk Hasic; Lesly Devadder; Maxim Dochez; Jonas Hanot; Johannes De Smedt; Jan Vanthienen (Business Process Management Workshops, 2017)

Towards a Holistic Discovery of Decisions in Process-Aware Information Systems. - Johannes De Smedt; Faruk Hasic; Seppe K. L. M. vanden Broucke; Jan Vanthienen (BPM, 2017)

Towards Assessing the Theoretical Complexity of the Decision Model and Notation (DMN). - Faruk Hasic; Johannes De Smedt; Jan Vanthienen (RADAR+EMISA@CAiSE, 2017)

Integrating Processes, Cases, and Decisions for Knowledge-Intensive Process Modelling. - Faruk Hasic; Linus Vanwijck; Jan Vanthienen (PrOse@PoEM, 2017)

A Service-Oriented Architecture Design of Decision-Aware Information Systems: Decision as a Service - (Short Paper). - Faruk Hasic; Johannes De Smedt; Jan Vanthienen (OTM Conferences (1), 2017)

Developing a Modelling and Mining Framework for Integrated Processes and Decisions. - Faruk Hasic; Johannes De Smedt; Jan Vanthienen (OTM Workshops, 2017)

Social network analytics for churn prediction in telco: Model building, evaluation and network architecture. - María Óskarsdóttir; Cristián Bravo; Wouter Verbeke; Carlos Sarraute; Bart Baesens; Jan Vanthienen (Expert Syst. Appl., 2017)

Defining analytics maturity indicators: A survey approach. - Jasmien Lismont; Jan Vanthienen; Bart Baesens; Wilfried Lemahieu (Int. J. Inf. Manag., 2017)

Measuring the Complexity of DMN Decision Models. - Faruk Hasic; Alexander De Craemer; Thijs Hegge; Gideon Magala; Jan Vanthienen (Business Process Management Workshops, 2018)

Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending. - María Óskarsdóttir; Cristián Bravo; Carlos Sarraute; Bart Baesens; Jan Vanthienen (ICIS, 2018)

Redesigning Processes for Decision-Awareness: Strategies for Integrated Modelling. - Faruk Hasic; Johannes De Smedt; Jan Vanthienen (QUATIC, 2018)

A Case-Based Inquiry into the Decision Model and Notation (DMN) and the Knowledge Base (KB) Paradigm. - Marjolein Deryck; Faruk Hasic; Jan Vanthienen; Joost Vennekens (RuleML+RR, 2018)

Profit-Based Model Selection for Customer Retention Using Individual Customer Lifetime Values. - María Óskarsdóttir; Bart Baesens; Jan Vanthienen (Big Data, 2018)

Augmenting processes with decision intelligence: Principles for integrated modelling. - Faruk Hasic; Johannes De Smedt; Jan Vanthienen (Decis. Support Syst., 2018)

Predicting tax avoidance by means of social network analytics. - Jasmien Lismont; Eddy Cardinaels; Liesbeth Bruynseels; Sander De Groote; Bart Baesens; Wilfried Lemahieu; Jan Vanthienen (Decis. Support Syst., 2018)

What we know and what we do not know about DMN. - Kathrin Figl; Jan Mendling; Gül Tokdemir; Jan Vanthienen (Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model., 2018)

Predicting interpurchase time in a retail environment using customer-product networks: An empirical study and evaluation. - Jasmien Lismont; Sudha Ram; Jan Vanthienen; Wilfried Lemahieu; Bart Baesens (Expert Syst. Appl., 2018)

Time series for early churn detection: Using similarity based classification for dynamic networks. - María Óskarsdóttir; Tine Van Calster; Bart Baesens; Wilfried Lemahieu; Jan Vanthienen (Expert Syst. Appl., 2018)

Discovering hidden dependencies in constraint-based declarative process models for improving understandability. - Johannes De Smedt; Jochen De Weerdt; Estefanía Serral; Jan Vanthienen (Inf. Syst., 2018)

A DMN-Based Method for Context-Aware Business Process Modeling Towards Process Variability. - Rongjia Song; Jan Vanthienen; Weiping Cui; Ying Wang 036; Lei Huang 016 (BIS (1), 2019)

Designing a Comprehensive Understanding of Digital Transformation and its Impact. - Ziboud Van Veldhoven; Jan Vanthienen (Bled eConference, 2019)

Cross-language Keyword Analysis of Digital Transformation for Business. - Ziboud Van Veldhoven; Rongjia Song; Jan Vanthienen (ICEBE, 2019)

What Roles Do Decisions Play in Context-aware Business Process Management? - Rongjia Song; Jan Vanthienen; Weiping Cui; Ying Wang 036; Lei Huang 016 (ICEIS (2), 2019)

Towards a comprehensive understanding of the context concepts in context-aware business processes. - Rongjia Song; Jan Vanthienen; Weiping Cui; Ying Wang 036; Lei Huang 016 (S-BPM ONE, 2019)

Context-Aware BPM Using IoT-Integrated Context Ontologies and IoT-Enhanced Decision Models. - Rongjia Song; Jan Vanthienen; Weiping Cui; Ying Wang 036; Lei Huang 016 (CBI (1), 2019)

The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics. - María Óskarsdóttir; Cristián Bravo; Carlos Sarraute; Jan Vanthienen; Bart Baesens (Appl. Soft Comput., 2019)

Closing the Gap Between Experts and Novices Using Analytics-as-a-Service: An Experimental Study. - Jasmien Lismont; Tine Van Calster; María Óskarsdóttir; Seppe vanden Broucke; Bart Baesens; Wilfried Lemahieu; Jan Vanthienen (Bus. Inf. Syst. Eng., 2019)

Complexity metrics for DMN decision models. - Faruk Hasic; Jan Vanthienen (Comput. Stand. Interfaces, 2019)

Holistic discovery of decision models from process execution data. - Johannes De Smedt; Faruk Hasic; Seppe K. L. M. vanden Broucke; Jan Vanthienen (Knowl. Based Syst., 2019)

Text2Dec: Extracting Decision Dependencies from Natural Language Text for Automated DMN Decision Modelling. - Vedavyas Etikala; Ziboud Van Veldhoven; Jan Vanthienen (Business Process Management Workshops, 2020)

Benchmarking Stacking Against Other Heterogeneous Ensembles in Telecom Churn Prediction. - Jan Kunnen; Maxime Duchateau; Ziboud Van Veldhoven; Jan Vanthienen (SSCI, 2020)

Explainability and Fairness in Machine Learning: Improve Fair End-to-end Lending for Kiva. - Alexander Stevens; Peter Deruyck; Ziboud Van Veldhoven; Jan Vanthienen (SSCI, 2020)

Recommendations for enhancing the usability and understandability of process mining in healthcare. - Niels Martin; Jochen De Weerdt; Carlos Fernández-Llatas; Avigdor Gal; Roberto Gatta; Gema Ibáñez; Owen A. Johnson; Felix Mannhardt; Luis Marco-Ruiz; Steven Mertens; Jorge Munoz-Gama; Fernando Seoane; et al. (Artif. Intell. Medicine, 2020)

From decision knowledge to e-government expert systems: the case of income taxation for foreign artists in Belgium. - Faruk Hasic; Jan Vanthienen (Knowl. Inf. Syst., 2020)

Automatically Extracting Insurance Contract Knowledge Using NLP. - Alexandre Goossens; Laure Berth; Emilia Decoene; Ziboud Van Veldhoven; Jan Vanthienen (BIS (Workshops), 2021)

A Scoping Review of the Digital Transformation Literature Using Scientometric Analysis. - Ziboud Van Veldhoven; Vedavyas Etikala; Alexandre Goossens; Jan Vanthienen (BIS, 2021)

Consolidating Academic and Practical Guidelines for Digital Transformation. - Ziboud Van Veldhoven; Jan Vanthienen (BIS (Workshops), 2021)

Extracting Decision Dependencies and Decision Logic from Text Using Deep Learning Techniques. - Alexandre Goossens; Michelle Claessens; Charlotte Parthoens; Jan Vanthienen (Business Process Management Workshops, 2021)

An Overview of Methods for Acquiring and Generating Decision Models. - Vedavyas Etikala; Jan Vanthienen (KSEM, 2021)

Automatic Generation of Intelligent Chatbots from DMN Decision Models. - Vedavyas Etikala; Alexandre Goossens; Ziboud Van Veldhoven; Jan Vanthienen (RuleML+RR, 2021)

Deep Learning for the Identification of Decision Modelling Components from Text. - Alexandre Goossens; Michelle Claessens; Charlotte Parthoens; Jan Vanthienen (RuleML+RR, 2021)

Leveraging the Power of IDP with the Flexibility of DMN: A Multifunctional API. - Simon Vandevelde; Vedavyas Etikala; Jan Vanthienen; Joost Vennekens (RuleML+RR, 2021)

Preface to the Special Issue on Process Querying and Declarative, Decision and Hybrid Approaches to Processes 2019. - Claudio Di Ciccio; Søren Debois; Artem Polyvyanyy; Tijs Slaats; Arthur H. M. ter Hofstede; Jan Vanthienen (J. Data Semant., 2021)

Automated Intelligent Assistance with Explainable Decision Models in Knowledge-Intensive Processes. - Alexandre Goossens; Ulysse Maes; Yves Timmermans; Jan Vanthienen (Business Process Management Workshops, 2022)

Enhancing Data-Awareness of Object-Centric Event Logs. - Alexandre Goossens; Johannes De Smedt; Jan Vanthienen; Wil M. P. van der Aalst (ICPM Workshops, 2022)

Business process redesign towards IoT-enabled context-awareness: the case of a Chinese bulk port. - Rongjia Song; Weiping Cui; Jan Vanthienen; Lei Huang 016; Ying Wang 036 (Bus. Process. Manag. J., 2022)

Digital transformation as an interaction-driven perspective between business, society, and technology. - Ziboud Van Veldhoven; Jan Vanthienen (Electron. Mark., 2022)

Aligning Object-Centric Event Logs with Data-Centric Conceptual Models. - Alexandre Goossens; Charlotte Verbruggen; Monique Snoeck; Johannes De Smedt; Jan Vanthienen (BPMDS/EMMSAD@CAiSE, 2023)

Comparing the Performance of GPT-3 with BERT for Decision Requirements Modeling. - Alexandre Goossens; Johannes De Smedt; Jan Vanthienen (CoopIS, 2023)

From OCEL to DOCEL - Datasets and Automated Transformation. - Alexandre Goossens; Adrian Rebmann; Johannes De Smedt; Jan Vanthienen; Han van der Aa (ICPM Workshops, 2023)

How a Professional Association Can Steer Digital Transformation: Case Study of the Belgian Notary Industry. - Ziboud Van Veldhoven; Kani Kiliç; Divya Prakash; Ryan Michael Smith-Cooper; Jan Vanthienen (QUATIC, 2023)

GPT-3 for Decision Logic Modeling. - Alexandre Goossens; Simon Vandevelde; Jan Vanthienen; Joost Vennekens (RuleML+RR (Companion), 2023)

Integrating GPT-Technologies with Decision Models for Explainability. - Alexandre Goossens; Jan Vanthienen (xAI (3), 2023)

Extracting Decision Model and Notation models from text using deep learning techniques. - Alexandre Goossens; Johannes De Smedt; Jan Vanthienen (Expert Syst. Appl., 2023)

Object-Centric Event Logs: Characteristics, Comparative Analysis and Road Map. - Alexandre Goossens; Johannes De Smedt; Jan Vanthienen (BPM (Forum), 2024)

From Text to Intelligent Services in Knowledge Intensive Decision Processes: Text2Chat. - Jan Vanthienen; Alexandre Goossens (HICSS, 2024)

Object-Centric Event Logs: Specifications, Comparative Analysis and Refinement. - Alexandre Goossens; Johannes De Smedt; Jan Vanthienen (CoRR, 2024)

Extracting process-aware decision models from object-centric process data. - Alexandre Goossens; Johannes De Smedt; Jan Vanthienen (Inf. Sci., 2024)

iDOCEM: Supplementary Material. - Charlotte Verbruggen; Alexandre Goossens; Johannes De Smedt; Jan Vanthienen; Monique Snoeck (Zenodo, 2024)

iDOCEM: defining a common terminology for object-centric event logging and data-centric process modelling. - Charlotte Verbruggen; Alexandre Goossens; Johannes De Smedt; Jan Vanthienen; Monique Snoeck (Softw. Syst. Model., 2025)

Correction: iDOCEM. - Charlotte Verbruggen; Alexandre Goossens; Johannes De Smedt; Jan Vanthienen; Monique Snoeck (Softw. Syst. Model., 2025)