Bart Baesens - RankMe

245 papers A* 2A 3B 15C 7Journal 162Unranked 52

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Anticipating delays in recruitment: Explainable machine learning for the prediction of hard-to-fill online job vacancies. Eur. J. Oper. Res. Wouter Dossche, Sarah Vansteenkiste, Bart Baesens, Wilfried Lemahieu
2025	J	`jnl`	Advances in Continual Graph Learning for Anti-Money Laundering Systems: A Comprehensive Review. CoRR Bruno Deprez, Wei Wei, Wouter Verbeke, Bart Baesens, Kevin Mets, Tim Verdonck
2025	—	`conf`	Are Economists Always More Introverted? Analyzing Consistency in Persona-Assigned LLMs. EMNLP (Findings) Manon Reusens, Bart Baesens, David Jurgens
2025	J	`jnl`	Are Economists Always More Introverted? Analyzing Consistency in Persona-Assigned LLMs. CoRR Manon Reusens, Bart Baesens, David Jurgens
2025	J	`jnl`	Collaborative governance of cyber violence: A two-phase, multi-scenario four-party evolutionary game and SBI1 I2R public opinion dissemination. Inf. Process. Manag. Xiaoting Yang, Wei Lv, Ting Yang, Bart Baesens
2025	J	`jnl`	Collaborative governance of cyber violence: A two-phase, multi-scenario four-party evolutionary game and SBI1I2R public opinion dissemination. CoRR Xiaoting Yang, Wei Lv, Ting Yang, Bart Baesens
2025	J	`jnl`	Deep multi-task learning for stem water potential prediction : Actionable guidelines. Comput. Electron. Agric. Boje Deforce, Bart Baesens, Jan Diels, Pieter Janssens, Luis Bonet Pérez de León, Estefanía Serral Asensio
2025	A	`conf`	End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection. SDM Boje Deforce, Meng-Chieh Lee, Bart Baesens, Estefanía Serral Asensio, Jaemin Yoo, Leman Akoglu
2025	J	`jnl`	Enhancing explainability in real-world scenarios: Towards a robust stability measure for local interpretability. Expert Syst. Appl. Eduardo Sepúlveda, Félix Vandervorst, Bart Baesens, Tim Verdonck
2025	J	`jnl`	GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money Laundering. CoRR Bruno Deprez, Bart Baesens, Tim Verdonck, Wouter Verbeke
2025	J	`jnl`	Large Language Models to make museum archive collections more accessible. AI Soc. Manon Reusens, Amy Adams, Bart Baesens
2025	—	`conf`	Learning Analytics Dashboard with Peer Comparison for Student Feedback in Conceptual Modeling Education. BPMDS/EMMSAD@CAiSE Elena Tiukhova, Charlotte Verbruggen, Tinne De Laet, Bart Baesens, Monique Snoeck
2025	—	`conf`	Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance. IJCNLP-AACL (Findings) Manon Reusens, Philipp Borchert, Jochen De Weerdt, Bart Baesens
2025	—	`conf`	On the Performance of LLMs for Real Estate Appraisal. ECML/PKDD (9) Margot Geerts, Manon Reusens, Bart Baesens, Seppe vanden Broucke, Jochen De Weerdt
2025	J	`jnl`	On the Performance of LLMs for Real Estate Appraisal. CoRR Margot Geerts, Manon Reusens, Bart Baesens, Seppe vanden Broucke, Jochen De Weerdt
2024	J	`jnl`	A new perspective on classification: Optimally allocating limited resources to uncertain tasks. Decis. Support Syst. Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
2024	J	`jnl`	Computational Efficient Approximations of the Concordance Probability in a Big Data Setting. Big Data Robin Van Oirbeek, Jolien Ponnet, Bart Baesens, Tim Verdonck
2024	—	`conf`	Discovering Unusual Study Patterns Using Anomaly Detection and XAI. HICSS Elena Tiukhova, Pavani Vemuri, Maria Óskarsdóttir, Stephan Poelmans, Bart Baesens, Monique Snoeck
2024	J	`jnl`	End-To-End Self-tuning Self-supervised Time Series Anomaly Detection. CoRR Boje Deforce, Meng-Chieh Lee, Bart Baesens, Estefanía Serral Asensio, Jaemin Yoo, Leman Akoglu
2024	J	`jnl`	Evaluating text classification: A benchmark study. Expert Syst. Appl. Manon Reusens, Alexander Stevens, Jonathan Tonglet, Johannes De Smedt, Wouter Verbeke, Seppe vanden Broucke, Bart Baesens
2024	J	`jnl`	Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda. Eur. J. Oper. Res. Koen W. De Bock, Kristof Coussement, Arno De Caigny, Roman Slowinski, Bart Baesens, Robert N. Boute, Tsan-Ming Choi, Dursun Delen, Mathias Kraus, Stefan Lessmann, Sebastián Maldonado, David Martens, María Óskarsdóttir, Carla Vairetti, Wouter Verbeke, Richard Weber
2024	J	`jnl`	Explainable Deep Learning to Classify Royal Navy Ships. IEEE Access Bart Baesens, Amy Adams, Rodrigo Pacheco-Ruiz, Ann-Sophie Baesens, Seppe K. L. M. vanden Broucke
2024	J	`jnl`	Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI. Decis. Support Syst. Elena Tiukhova, Pavani Vemuri, Nidia Guadalupe López Flores, Anna Sigridur Islind, María Óskarsdóttir, Stephan Poelmans, Bart Baesens, Monique Snoeck
2024	J	`jnl`	Harnessing the power of transformers and data fusion in smart irrigation. Appl. Soft Comput. Boje Deforce, Bart Baesens, Jan Diels, Estefanía Serral Asensio
2024	B	`conf`	IML4DQ: Interactive Machine Learning for Data Quality with Applications in Credit Risk. CoopIS Elena Tiukhova, Adriano Salcuni, Can Oguz, Fabio Forte, Bart Baesens, Monique Snoeck
2024	J	`jnl`	INFLECT-DGNN: Influencer Prediction With Dynamic Graph Neural Networks. IEEE Access Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Bart Baesens, Monique Snoeck, Cristián Bravo
2024	J	`jnl`	Interpretable and Accurate Identification of Job Seekers at Risk of Long-Term Unemployment: Explainable ML-Based Profiling. SN Comput. Sci. Wouter Dossche, Sarah Vansteenkiste, Bart Baesens, Wilfried Lemahieu
2024	J	`jnl`	Leveraging Time-Series Foundation Models in Smart Agriculture for Soil Moisture Forecasting. CoRR Boje Deforce, Bart Baesens, Estefanía Serral Asensio
2024	J	`jnl`	Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance. CoRR Manon Reusens, Philipp Borchert, Jochen De Weerdt, Bart Baesens
2024	J	`jnl`	Network Analytics for Anti-Money Laundering - A Systematic Literature Review and Experimental Evaluation. CoRR Bruno Deprez, Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
2024	J	`jnl`	Special issue on feature engineering editorial. Mach. Learn. Tim Verdonck, Bart Baesens, María Óskarsdóttir, Seppe vanden Broucke
2023	—	`conf`	Boosting Credit Risk Data Quality Using Machine Learning and eXplainable AI Techniques. PKDD/ECML Workshops (5) Elena Tiukhova, Adriano Salcuni, Can Oguz, Marcella Niglio, Giuseppe Storti, Fabio Forte, Bart Baesens, Monique Snoeck
2023	J	`jnl`	CATCHM: A novel network-based credit card fraud detection method using node representation learning. Decis. Support Syst. Rafaël Van Belle, Bart Baesens, Jochen De Weerdt
2023	J	`jnl`	INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks. CoRR Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Bart Baesens, Monique Snoeck, Cristián Bravo
2023	A*	`conf`	Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques. EMNLP Manon Reusens, Philipp Borchert, Margot Mieskes, Jochen De Weerdt, Bart Baesens
2023	J	`jnl`	Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques. CoRR Manon Reusens, Philipp Borchert, Margot Mieskes, Jochen De Weerdt, Bart Baesens
2023	—	`conf`	Learning analytics tells: Know your basics and go to class. ER (Companion) Elena Tiukhova, Charlotte Verbruggen, Bart Baesens, Monique Snoeck
2023	—	`conf`	MultiMix TFT: A Multi-task Mixed-Frequency Framework with Temporal Fusion Transformers. CoLLAs Boje Deforce, Bart Baesens, Jan Diels, Estefanía Serral Asensio
2023	A*	`conf`	SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA. EMNLP Jonathan Tonglet, Manon Reusens, Philipp Borchert, Bart Baesens
2023	J	`jnl`	SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA. CoRR Jonathan Tonglet, Manon Reusens, Philipp Borchert, Bart Baesens
2023	J	`jnl`	Self-Supervised Anomaly Detection of Rogue Soil Moisture Sensors. CoRR Boje Deforce, Bart Baesens, Jan Diels, Estefanía Serral Asensio
2022	J	`jnl`	A new perspective on classification: optimally allocating limited resources to uncertain tasks. CoRR Toon Vanderschueren, Bart Baesens, Tim Verdonck, Wouter Verbeke
2022	B	`conf`	Benchmarking Conventional Outlier Detection Methods. RCIS Elena Tiukhova, Manon Reusens, Bart Baesens, Monique Snoeck
2022	B	`conf`	Evaluation of Joint Modeling Techniques for Node Embedding and Community Detection on Graphs. ASONAM Simon Hiel, Lore Nicolaers, Carlos Ortega Vázquez, Sandra Mitrovic, Bart Baesens, Jochen De Weerdt
2022	J	`jnl`	Influencer Detection with Dynamic Graph Neural Networks. CoRR Elena Tiukhova, Emiliano Penaloza, María Óskarsdóttir, Hernán García, Alejandro Correa Bahnsen, Bart Baesens, Monique Snoeck, Cristián Bravo
2022	J	`jnl`	Instance-dependent cost-sensitive learning for detecting transfer fraud. Eur. J. Oper. Res. Sebastiaan Höppner, Bart Baesens, Wouter Verbeke, Tim Verdonck
2022	—	`conf`	Instance-dependent cost-sensitive learning: do we really need it? HICSS Toon Vanderschueren, Wouter Verbeke, Bart Baesens, Tim Verdonck
2022	—	`conf`	Introduction to the Minitrack on Fraud Detection Using Machine Learning. HICSS Tim Verdonck, Wouter Verbeke, Maria Óskarsdóttir, Bart Baesens
2022	J	`jnl`	Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies. Inf. Sci. Toon Vanderschueren, Tim Verdonck, Bart Baesens, Wouter Verbeke
2022	J	`jnl`	Prescriptive maintenance with causal machine learning. CoRR Toon Vanderschueren, Robert N. Boute, Tim Verdonck, Bart Baesens, Wouter Verbeke
2021	J	`jnl`	Autoencoders for strategic decision support. Decis. Support Syst. Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke
2021	J	`jnl`	Data engineering for fraud detection. Decis. Support Syst. Bart Baesens, Sebastiaan Höppner, Tim Verdonck
2021	J	`jnl`	Deep learning for credit scoring: Do or don't? Eur. J. Oper. Res. Björn Rafn Gunnarsson, Seppe vanden Broucke, Bart Baesens, María Óskarsdóttir, Wilfried Lemahieu
2021	J	`jnl`	Expert-driven Trace Clustering with Instance-level Constraints. CoRR Pieter De Koninck, Klaas Nelissen, Seppe vanden Broucke, Bart Baesens, Monique Snoeck, Jochen De Weerdt
2021	J	`jnl`	Expert-driven trace clustering with instance-level constraints. Knowl. Inf. Syst. Pieter De Koninck, Klaas Nelissen, Seppe vanden Broucke, Bart Baesens, Monique Snoeck, Jochen De Weerdt
2021	J	`jnl`	tcc2vec: RFM-informed representation learning on call graphs for churn prediction. Inf. Sci. Sandra Mitrovic, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
2020	J	`jnl`	A Comparative Study of Social Network Classifiers for Predicting Churn in the Telecommunication Industry. CoRR María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
2020	J	`jnl`	Autoencoders for strategic decision support. CoRR Sam Verboven, Jeroen Berrevoets, Chris Wuytens, Bart Baesens, Wouter Verbeke
2020	J	`jnl`	Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending. CoRR María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Bart Baesens, Jan Vanthienen
2020	J	`jnl`	Evaluation of customer behavior with temporal centrality metrics for churn prediction of prepaid contracts. Expert Syst. Appl. Laura Calzada-Infante, María Óskarsdóttir, Bart Baesens
2020	J	`jnl`	Profit driven decision trees for churn prediction. Eur. J. Oper. Res. Sebastiaan Höppner, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Tim Verdonck
2020	J	`jnl`	Profit-oriented sales forecasting: a comparison of forecasting techniques from a business perspective. CoRR Tine Van Calster, Filip Van den Bossche, Bart Baesens, Wilfried Lemahieu
2020	J	`jnl`	Social Network Analytics for Churn Prediction in Telco: Model Building, Evaluation and Network Architecture. CoRR María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
2020	J	`jnl`	Social network analytics for supervised fraud detection in insurance. CoRR María Óskarsdóttir, Waqas Ahmed, Katrien Antonio, Bart Baesens, Rémi Dendievel, Tom Donas, Tom Reynkens
2020	J	`jnl`	The Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics. CoRR María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Jan Vanthienen, Bart Baesens
2020	J	`jnl`	robROSE: A robust approach for dealing with imbalanced data in fraud detection. CoRR Bart Baesens, Sebastiaan Höppner, Irene Ortner, Tim Verdonck
2019	J	`jnl`	A multi-objective approach for profit-driven feature selection in credit scoring. Decis. Support Syst. Nikita Kozodoi, Stefan Lessmann, Konstantinos Papakonstantinou, Yiannis Gatsoulis, Bart Baesens
2019	J	`jnl`	BART: BAckward Regression Trimming. Big Data Bart Baesens
2019	J	`jnl`	Closing the Gap Between Experts and Novices Using Analytics-as-a-Service: An Experimental Study. Bus. Inf. Syst. Eng. Jasmien Lismont, Tine Van Calster, María Óskarsdóttir, Seppe vanden Broucke, Bart Baesens, Wilfried Lemahieu, Jan Vanthienen
2019	J	`jnl`	Evaluating software defect prediction performance: an updated benchmarking study. CoRR Libo Li, Stefan Lessmann, Bart Baesens
2019	—	`conf`	Inductive Representation Learning on Feature Rich Complex Networks for Churn Prediction in Telco. COMPLEX NETWORKS (1) María Óskarsdóttir, Sander Cornette, Floris Deseure, Bart Baesens
2019	J	`jnl`	The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics. Appl. Soft Comput. María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Jan Vanthienen, Bart Baesens
2018	J	`jnl`	An Interview with Bart Baesens, One of the Authors of Big Data Wilfried Lemahieu, Seppe vanden Broucke, Bart Baesens
2018	J	`jnl`	Benchmarking sampling techniques for imbalance learning in churn prediction. J. Oper. Res. Soc. Bing Zhu, Bart Baesens, Aimée Backiel, Seppe K. L. M. vanden Broucke
2018	B	`conf`	Combining Temporal Aspects of Dynamic Networks with Node2Vec for a more Efficient Dynamic Link Prediction. ASONAM Sam De Winter, Tim Decuypere, Sandra Mitrovic, Bart Baesens, Jochen De Weerdt
2018	C	`conf`	Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending. ICIS María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, Bart Baesens, Jan Vanthienen
2018	J	`jnl`	Evaluating recommendation and search in the labor market. Knowl. Based Syst. Michael Reusens, Wilfried Lemahieu, Bart Baesens, Luc Sels
2018	J	`jnl`	Isolation-based conditional anomaly detection on mixed-attribute data to uncover workers' compensation fraud. Decis. Support Syst. Eugen Stripling, Bart Baesens, Barak Chizi, Seppe vanden Broucke
2018	J	`jnl`	On the operational efficiency of different feature types for telco Churn prediction. Eur. J. Oper. Res. Sandra Mitrovic, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
2018	J	`jnl`	Predicting interpurchase time in a retail environment using customer-product networks: An empirical study and evaluation. Expert Syst. Appl. Jasmien Lismont, Sudha Ram, Jan Vanthienen, Wilfried Lemahieu, Bart Baesens
2018	J	`jnl`	Predicting tax avoidance by means of social network analytics. Decis. Support Syst. Jasmien Lismont, Eddy Cardinaels, Liesbeth Bruynseels, Sander De Groote, Bart Baesens, Wilfried Lemahieu, Jan Vanthienen
2018	—	`conf`	Profit Maximizing Logistic Regression Modeling for Credit Scoring. DSW Arnout Devos, Jakob Dhondt, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Gaurav S. Sukhatme
2018	J	`jnl`	Profit maximizing logistic model for customer churn prediction using genetic algorithms. Swarm Evol. Comput. Eugen Stripling, Seppe vanden Broucke, Katrien Antonio, Bart Baesens, Monique Snoeck
2018	J	`jnl`	Profit-Based Model Selection for Customer Retention Using Individual Customer Lifetime Values. Big Data María Óskarsdóttir, Bart Baesens, Jan Vanthienen
2018	—	`conf`	Profit-Oriented Feature Selection in Credit Scoring Applications. OR Nikita Kozodoi, Stefan Lessmann, Bart Baesens, Konstantinos Papakonstantinou
2018	J	`jnl`	Special Issue on Profit-Driven Analytics. Big Data Bart Baesens, Wouter Verbeke, Cristián Bravo
2018	J	`jnl`	Swipe and Tell: Using Implicit Feedback to Predict User Engagement on Tablets. ACM Trans. Inf. Syst. Klaas Nelissen, Monique Snoeck, Seppe K. L. M. vanden Broucke, Bart Baesens
2018	J	`jnl`	Time series for early churn detection: Using similarity based classification for dynamic networks. Expert Syst. Appl. María Óskarsdóttir, Tine Van Calster, Bart Baesens, Wilfried Lemahieu, Jan Vanthienen
2017	J	`jnl`	A new transferred feature selection algorithm for customer identification. Neural Comput. Appl. Bing Zhu, Yongge Niu, Jin Xiao, Bart Baesens
2017	J	`jnl`	A note on explicit versus implicit information for job recommendation. Decis. Support Syst. Michael Reusens, Wilfried Lemahieu, Bart Baesens, Luc Sels
2017	A	`conf`	An Approach for Incorporating Expert Knowledge in Trace Clustering. CAiSE Pieter De Koninck, Klaas Nelissen, Bart Baesens, Seppe vanden Broucke, Monique Snoeck, Jochen De Weerdt
2017	J	`jnl`	An empirical comparison of techniques for the class imbalance problem in churn prediction. Inf. Sci. Bing Zhu, Bart Baesens, Seppe K. L. M. vanden Broucke
2017	J	`jnl`	Challenges of smart business process management: An introduction to the special issue. Decis. Support Syst. Jan Mendling, Bart Baesens, Abraham Bernstein, Michael Fellmann
2017	—	`conf`	Churn Prediction Using Dynamic RFM-Augmented Node2vec. PAP@PKDD/ECML Sandra Mitrovic, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
2017	J	`jnl`	Defining analytics maturity indicators: A survey approach. Int. J. Inf. Manag. Jasmien Lismont, Jan Vanthienen, Bart Baesens, Wilfried Lemahieu
2017	J	`jnl`	GOTCHA! Network-Based Fraud Detection for Social Security Fraud. Manag. Sci. Véronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens
2017	—	`conf`	Improving Resampling-based Ensemble in Churn Prediction. LIDTA@PKDD/ECML Bing Zhu, Seppe vanden Broucke, Bart Baesens, Sebastián Maldonado
2017	J	`jnl`	Predicting software revision outcomes on GitHub using structural holes theory. Comput. Networks Libo Li, Frank Goethals, Bart Baesens, Monique Snoeck
2017	J	`jnl`	ProfARIMA: A profit-driven order identification algorithm for ARIMA models in sales forecasting. Appl. Soft Comput. Tine Van Calster, Bart Baesens, Wilfried Lemahieu
2017	J	`jnl`	Profit Driven Decision Trees for Churn Prediction. CoRR Sebastiaan Höppner, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Tim Verdonck
2017	J	`jnl`	RULEM: A novel heuristic rule learning approach for ordinal classification with monotonicity constraints. Appl. Soft Comput. Wouter Verbeke, David Martens, Bart Baesens
2017	B	`conf`	Scalable RFM-enriched Representation Learning for Churn Prediction. DSAA Sandra Mitrovic, Gaurav Singh, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt
2017	J	`jnl`	Social network analytics for churn prediction in telco: Model building, evaluation and network architecture. Expert Syst. Appl. María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
2017	J	`jnl`	Time to default in credit scoring using survival analysis: a benchmark study. J. Oper. Res. Soc. Lore Dirick, Gerda Claeskens, Bart Baesens
2017	—	`conf`	Towards a Visual Approach to Aggregate Data Quality Measurements. ICIQ Tom Haegemans, Michael Reusens, Bart Baesens, Wilfried Lemahieu, Monique Snoeck
2016	B	`conf`	A comparative study of social network classifiers for predicting churn in the telecommunication industry. ASONAM María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
2016	J	`jnl`	Determining the use of data quality metadata (DQM) for decision making purposes and its impact on decision outcomes - An exploratory study. Decis. Support Syst. Helen-Tadesse Moges, Véronique Van Vlasselaer, Wilfried Lemahieu, Bart Baesens
2016	J	`jnl`	Enabling flexible location-aware business process modeling and execution. Decis. Support Syst. Xinwei Zhu, Seppe vanden Broucke, Guobin Zhu, Jan Vanthienen, Bart Baesens
2016	J	`jnl`	On the gap between reality and registration: a business event analysis classification framework. Inf. Technol. Manag. Seppe K. L. M. vanden Broucke, Filip Caron, Jasmien Lismont, Jan Vanthienen, Bart Baesens
2016	J	`jnl`	Predicting time-to-churn of prepaid mobile telephone customers using social network analysis. J. Oper. Res. Soc. Aimée Backiel, Bart Baesens, Gerda Claeskens
2016	J	`jnl`	Transformational Issues of Big Data and Analytics in Networked Business. MIS Q. Bart Baesens, Ravi Bapna, James R. Marsden, Jan Vanthienen, J. Leon Zhao
2015	—	`conf`	A Models Comparison to Estimate Commuting Trips Based on Mobile Phone Data. CSOC (2) Carlos André R. Pinheiro, Véronique Van Vlasselaer, Bart Baesens, Alexandre G. Evsukoff, Moacyr A. H. B. da Silva, Nelson F. F. Ebecken
2015	B	`conf`	AFRAID: Fraud Detection via Active Inference in Time-evolving Social Networks. ASONAM Véronique Van Vlasselaer, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens
2015	J	`jnl`	APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions. Decis. Support Syst. Véronique Van Vlasselaer, Cristián Bravo, Olivier Caelen, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens
2015	J	`jnl`	An Akaike information criterion for multiple event mixture cure models. Eur. J. Oper. Res. Lore Dirick, Gerda Claeskens, Bart Baesens
2015	J	`jnl`	Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research. Eur. J. Oper. Res. Stefan Lessmann, Bart Baesens, Hsin-Vonn Seow, Lyn C. Thomas
2015	B	`conf`	Combining Local and Social Network Classifiers to Improve Churn Prediction. ASONAM Aimée Backiel, Yannick Verbinnen, Bart Baesens, Gerda Claeskens
2015	J	`jnl`	Comprehensible software fault and effort prediction: A data mining approach. J. Syst. Softw. Julie Moeyersoms, Enric Junqué de Fortuny, Karel Dejaeger, Bart Baesens, David Martens
2015	J	`jnl`	Domain knowledge based segmentation of online banking customers. Intell. Data Anal. Alex Seret, Andreea Bejinaru, Bart Baesens
2015	—	`conf`	Guilt-by-Constellation: Fraud Detection by Suspicious Clique Memberships. HICSS Véronique Van Vlasselaer, Leman Akoglu, Tina Eliassi-Rad, Monique Snoeck, Bart Baesens
2015	J	`jnl`	Identifying next relevant variables for segmentation by using feature selection approaches. Expert Syst. Appl. Alex Seret, Sebastián Maldonado, Bart Baesens
2015	B	`conf`	Profit maximizing logistic regression modeling for customer churn prediction. DSAA Eugen Stripling, Seppe vanden Broucke, Katrien Antonio, Bart Baesens, Monique Snoeck
2015	J	`jnl`	Profit-based feature selection using support vector machines - General framework and an application for customer retention. Appl. Soft Comput. Sebastián Maldonado, Álvaro Flores, Thomas Verbraken, Bart Baesens, Richard Weber
2015	J	`jnl`	To tune or not to tune: rule evaluation for metaheuristic-based sequential covering algorithms. Data Min. Knowl. Discov. Bart Minnaert, David Martens, Manu De Backer, Bart Baesens
2014	J	`jnl`	A dynamic understanding of customer behavior processes based on clustering and sequence mining. Expert Syst. Appl. Alex Seret, Seppe K. L. M. vanden Broucke, Bart Baesens, Jan Vanthienen
2014	J	`jnl`	A new knowledge-based constrained clustering approach: Theory and application in direct marketing. Appl. Soft Comput. Alex Seret, Thomas Verbraken, Bart Baesens
2014	J	`jnl`	Clinical Pathway Analytics. J. Inf. Technol. Res. Filip Caron, Jan Vanthienen, Bart Baesens
2014	B	`conf`	Declarative process discovery with evolutionary computing. IEEE Congress on Evolutionary Computation Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens
2014	J	`jnl`	Determining Process Model Precision and Generalization with Weighted Artificial Negative Events. IEEE Trans. Knowl. Data Eng. Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Jan Vanthienen, Bart Baesens
2014	J	`jnl`	Development and application of consumer credit scoring models using profit-based classification measures. Eur. J. Oper. Res. Thomas Verbraken, Cristián Bravo, Richard Weber, Bart Baesens
2014	—	`conf`	Event-Based Real-Time Decomposed Conformance Analysis. OTM Conferences Seppe K. L. M. vanden Broucke, Jorge Munoz-Gama, Josep Carmona, Bart Baesens, Jan Vanthienen
2014	J	`jnl`	Forecasting Loss Given Default models: impact of account characteristics and the macroeconomic state. J. Oper. Res. Soc. Ellen Tobback, David Martens, Tony Van Gestel, Bart Baesens
2014	J	`jnl`	Investigating Associative Classification for Software Fault Prediction: An Experimental Perspective. Int. J. Softw. Eng. Knowl. Eng. Baojun Ma, Huaping Zhang, Guoqing Chen, Yanping Zhao, Bart Baesens
2014	—	`conf`	Mining Telecommunication Networks to Enhance Customer Lifetime Predictions. ICAISC (2) Aimée Backiel, Bart Baesens, Gerda Claeskens
2014	J	`jnl`	Monitoring care processes in the gynecologic oncology department. Comput. Biol. Medicine Filip Caron, Jan Vanthienen, Kris Vanhaecht, Erik van Limbergen, Jochen De Weerdt, Bart Baesens
2014	J	`jnl`	Predicting online channel acceptance with social network data. Decis. Support Syst. Thomas Verbraken, Frank Goethals, Wouter Verbeke, Bart Baesens
2014	J	`jnl`	Profit optimizing customer churn prediction with Bayesian network classifiers. Intell. Data Anal. Thomas Verbraken, Wouter Verbeke, Bart Baesens
2014	J	`jnl`	Social network analysis for customer churn prediction. Appl. Soft Comput. Wouter Verbeke, David Martens, Bart Baesens
2014	—	`conf`	Towards Location-Aware Process Modeling and Execution. Business Process Management Workshops Xinwei Zhu, Guobin Zhu, Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens
2013	J	`jnl`	A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models. IEEE Trans. Knowl. Data Eng. Thomas Verbraken, Wouter Verbeke, Bart Baesens
2013	C	`conf`	A comprehensive benchmarking framework (CoBeFra) for conformance analysis between procedural process models and event logs in ProM. CIDM Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Jan Vanthienen, Bart Baesens
2013	J	`jnl`	A comprehensive investigation of the applicability of process mining techniques for enterprise risk management. Comput. Ind. Filip Caron, Jan Vanthienen, Bart Baesens
2013	J	`jnl`	A multidimensional analysis of data quality for credit risk management: New insights and challenges. Inf. Manag. Helen-Tadesse Moges, Karel Dejaeger, Wilfried Lemahieu, Bart Baesens
2013	J	`jnl`	Active Trace Clustering for Improved Process Discovery. IEEE Trans. Knowl. Data Eng. Jochen De Weerdt, Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens
2013	—	`conf`	An Exploratory Approach for Understanding Customer Behavior Processes Based on Clustering and Sequence Mining. Business Process Management Workshops Alex Seret, Seppe K. L. M. vanden Broucke, Bart Baesens, Jan Vanthienen
2013	—	`conf`	Business Rule Patterns and Their Application to Process Analytics. EDOC Workshops Filip Caron, Jan Vanthienen, Bart Baesens
2013	J	`jnl`	Comprehensive rule-based compliance checking and risk management with process mining. Decis. Support Syst. Filip Caron, Jan Vanthienen, Bart Baesens
2013	J	`jnl`	Process Mining for the multi-faceted analysis of business processes - A case study in a financial services organization. Comput. Ind. Jochen De Weerdt, Annelies Schupp, An Vanderloock, Bart Baesens
2013	J	`jnl`	Toward Comprehensible Software Fault Prediction Models Using Bayesian Network Classifiers. IEEE Trans. Software Eng. Karel Dejaeger, Thomas Verbraken, Bart Baesens
2013	—	`conf`	Uncovering the Relationship Between Event Log Characteristics and Process Discovery Techniques. Business Process Management Workshops Seppe K. L. M. vanden Broucke, Cédric Delvaux, João Freitas, Taisiia Rogova, Jan Vanthienen, Bart Baesens
2013	C	`conf`	Using social network data to predict technology acceptance. ICIS Libo Li, Frank Goethals, Antonio Giangreco, Bart Baesens
2013	B	`conf`	Using social network knowledge for detecting spider constructions in social security fraud. ASONAM Véronique Van Vlasselaer, Jan Meskens, Dries Van Dromme, Bart Baesens
2013	—	`conf`	Validating and Enhancing Declarative Business Process Models Based on Allowed and Non-occurring Past Behavior. Business Process Management Workshops Seppe K. L. M. vanden Broucke, Filip Caron, Jan Vanthienen, Bart Baesens
2013	—	`conf`	Volvo IT Belgium VINST. BPIC@BPM Seppe vanden Broucke, Jan Vanthienen, Bart Baesens
2012	J	`jnl`	A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs. Inf. Syst. Jochen De Weerdt, Manu De Backer, Jan Vanthienen, Bart Baesens
2012	J	`jnl`	A new SOM-based method for profile generation: Theory and an application in direct marketing. Eur. J. Oper. Res. Alex Seret, Thomas Verbraken, Sébastien Versailles, Bart Baesens
2012	J	`jnl`	A total data quality management for credit risk: new insights and challenges. Int. J. Inf. Qual. Helen-Tadesse Moges, Karel Dejaeger, Wilfried Lemahieu, Bart Baesens
2012	J	`jnl`	Data Mining Techniques for Software Effort Estimation: A Comparative Study. IEEE Trans. Software Eng. Karel Dejaeger, Wouter Verbeke, David Martens, Bart Baesens
2012	J	`jnl`	Gaining insight into student satisfaction using comprehensible data mining techniques. Eur. J. Oper. Res. Karel Dejaeger, Frank Goethals, Antonio Giangreco, Lapo Mola, Bart Baesens
2012	—	`conf`	Getting a Grasp on Clinical Pathway Data: An Approach Based on Process Mining. PAKDD Workshops Jochen De Weerdt, Filip Caron, Jan Vanthienen, Bart Baesens
2012	A	`conf`	Improved Artificial Negative Event Generation to Enhance Process Event Logs. CAiSE Seppe K. L. M. vanden Broucke, Jochen De Weerdt, Bart Baesens, Jan Vanthienen
2012	B	`conf`	Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes. IEEE Congress on Evolutionary Computation Jochen De Weerdt, Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens
2012	J	`jnl`	Neural Networks and Learning Systems Come Together. IEEE Trans. Neural Networks Learn. Syst. Bart Baesens, Pantelis Bouboulis, Sergio Cruces, Carlotta Domeniconi, Shiro Ikeda, Xuelong Li, Patricia Melin, Vadrevu Sree Hari Rao, Björn W. Schuller, Yi Shen, Huajin Tang, Cong Wang, Jian Yang, Derong Zhao, Derong Liu
2012	J	`jnl`	New insights into churn prediction in the telecommunication sector: A profit driven data mining approach. Eur. J. Oper. Res. Wouter Verbeke, Karel Dejaeger, David Martens, Joon Hur, Bart Baesens
2012	—	`conf`	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. AMCIS Filip Caron, Seppe K. L. M. vanden Broucke, Jan Vanthienen, Bart Baesens
2012	—	`conf`	Rule-Based Business Process Mining: Applications for Management. IS-MiS Filip Caron, Jan Vanthienen, Bart Baesens
2011	C	`conf`	A robust F-measure for evaluating discovered process models. CIDM Jochen De Weerdt, Manu De Backer, Jan Vanthienen, Bart Baesens
2011	—	`conf`	Advanced Care-Flow Mining and Analysis. Business Process Management Workshops (1) Filip Caron, Jan Vanthienen, Jochen De Weerdt, Bart Baesens
2011	J	`jnl`	An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models. Decis. Support Syst. Johan Huysmans, Karel Dejaeger, Christophe Mues, Jan Vanthienen, Bart Baesens
2011	J	`jnl`	Building comprehensible customer churn prediction models with advanced rule induction techniques. Expert Syst. Appl. Wouter Verbeke, David Martens, Christophe Mues, Bart Baesens
2011	—	`conf`	Data quality for credit risk management. ICIQ Helen-Tadesse Moges, Karel Dejaeger, Wilfried Lemahieu, Bart Baesens
2011	J	`jnl`	Editorial survey: swarm intelligence for data mining. Mach. Learn. David Martens, Bart Baesens, Tom Fawcett
2011	J	`jnl`	Guest Editorial White Box Nonlinear Prediction Models. IEEE Trans. Neural Networks Bart Baesens, David Martens, Rudy Setiono, Jacek M. Zurada
2011	J	`jnl`	Identifying financially successful start-up profiles with data mining. Expert Syst. Appl. David Martens, Christine Vanhoutte, Sophie De Winne, Bart Baesens, Luc Sels, Christophe Mues
2011	J	`jnl`	Monitoring and backtesting churn models. Expert Syst. Appl. Elen Lima, Christophe Mues, Bart Baesens
2011	J	`jnl`	Performance of classification models from a user perspective. Decis. Support Syst. David Martens, Jan Vanthienen, Wouter Verbeke, Bart Baesens
2011	J	`jnl`	Process discovery in event logs: An application in the telecom industry. Appl. Soft Comput. Stijn Goedertier, Jochen De Weerdt, David Martens, Jan Vanthienen, Bart Baesens
2011	J	`jnl`	Rule Extraction from Minimal Neural Networks for Credit Card Screening. Int. J. Neural Syst. Rudy Setiono, Bart Baesens, Christophe Mues
2011	—	`conf`	Using Social Network Classifiers for Predicting E-Commerce Adoption. WEB Thomas Verbraken, Frank Goethals, Wouter Verbeke, Bart Baesens
2010	—	`conf`	A Critical Evaluation Study of Model-Log Metrics in Process Discovery. Business Process Management Workshops Jochen De Weerdt, Manu De Backer, Jan Vanthienen, Bart Baesens
2010	—	`conf`	A novel approach to the evaluation and improvement of data quality in the financial sector. ICIQ Karel Dejaeger, Bart Hamers, Jonas Poelmans, Bart Baesens
2010	J	`jnl`	An overview and framework for PD backtesting and benchmarking. J. Oper. Res. Soc. G. Castermans, David Martens, Tony Van Gestel, Bart Hamers, Bart Baesens
2010	—	`ch.`	Building Acceptable Classification Models. Data Mining David Martens, Bart Baesens
2010	J	`jnl`	Credit rating prediction using Ant Colony Optimization. J. Oper. Res. Soc. David Martens, Tony Van Gestel, Manu De Backer, Raf Haesen, Jan Vanthienen, Bart Baesens
2010	J	`jnl`	From linear to non-linear kernel based classifiers for bankruptcy prediction. Neurocomputing Tony Van Gestel, Bart Baesens, David Martens
2010	—	`conf`	Software Effort Prediction Using Regression Rule Extraction from Neural Networks. ICTAI (2) Rudy Setiono, Karel Dejaeger, Wouter Verbeke, David Martens, Bart Baesens
2009	J	`jnl`	50 years of data mining and OR: upcoming trends and challenges. J. Oper. Res. Soc. Bart Baesens, Christophe Mues, David Martens, Jan Vanthienen
2009	J	`jnl`	A modified Pareto/NBD approach for predicting customer lifetime value. Expert Syst. Appl. Nicolas Glady, Bart Baesens, Christophe Croux
2009	J	`jnl`	A note on knowledge discovery using neural networks and its application to credit card screening. Eur. J. Oper. Res. Rudy Setiono, Bart Baesens, Christophe Mues
2009	J	`jnl`	Decompositional Rule Extraction from Support Vector Machines by Active Learning. IEEE Trans. Knowl. Data Eng. David Martens, Bart Baesens, Tony Van Gestel
2009	J	`jnl`	Domain knowledge integration in data mining using decision tables: case studies in churn prediction. J. Oper. Res. Soc. Elen Lima, Christophe Mues, Bart Baesens
2009	—	`conf`	Fraud Detection in Statistics Education Based on the Compendium Platform and Reproducible Computing. CSIE (3) Patrick Wessa, Bart Baesens
2009	—	`conf`	Including Domain Knowledge in Customer Churn Prediction Using AntMiner+. DMM@ICDM Wouter Verbeke, Bart Baesens, David Martens, Manu De Backer, Raf Haesen
2009	J	`jnl`	Inferring comprehensible business/ICT alignment rules. Inf. Manag. Bjorn Cumps, David Martens, Manu De Backer, Raf Haesen, Stijn Viaene, Guido Dedene, Bart Baesens, Monique Snoeck
2009	J	`jnl`	Modeling churn using customer lifetime value. Eur. J. Oper. Res. Nicolas Glady, Bart Baesens, Christophe Croux
2009	J	`jnl`	Robust Process Discovery with Artificial Negative Events. J. Mach. Learn. Res. Stijn Goedertier, David Martens, Jan Vanthienen, Bart Baesens
2008	—	`ch.`	A Data Miner's Approach to Country Corruption Analysis. Intelligence and Security Informatics Johan Huysmans, Bart Baesens, Jan Vanthienen
2008	J	`jnl`	Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings. IEEE Trans. Software Eng. Stefan Lessmann, Bart Baesens, Christophe Mues, Swantje Pietsch
2008	J	`jnl`	Minerva: Sequential Covering for Rule Extraction. IEEE Trans. Syst. Man Cybern. Part B Johan Huysmans, Rudy Setiono, Bart Baesens, Jan Vanthienen
2008	J	`jnl`	Mining software repositories for comprehensible software fault prediction models. J. Syst. Softw. Olivier Vandecruys, David Martens, Bart Baesens, Christophe Mues, Manu De Backer, Raf Haesen
2008	J	`jnl`	Predicting going concern opinion with data mining. Decis. Support Syst. David Martens, Liesbeth Bruynseels, Bart Baesens, Marleen Willekens, Jan Vanthienen
2008	J	`jnl`	Recursive Neural Network Rule Extraction for Data With Mixed Attributes. IEEE Trans. Neural Networks Rudy Setiono, Bart Baesens, Christophe Mues
2008	—	`ch.`	Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring. Rule Extraction from Support Vector Machines David Martens, Johan Huysmans, Rudy Setiono, Jan Vanthienen, Bart Baesens
2007	J	`jnl`	A new approach for measuring rule set consistency. Data Knowl. Eng. Johan Huysmans, Bart Baesens, Jan Vanthienen
2007	J	`jnl`	Classification With Ant Colony Optimization. IEEE Trans. Evol. Comput. David Martens, Manu De Backer, Raf Haesen, Jan Vanthienen, Monique Snoeck, Bart Baesens
2007	J	`jnl`	Comprehensible credit scoring models using rule extraction from support vector machines. Eur. J. Oper. Res. David Martens, Bart Baesens, Tony Van Gestel, Jan Vanthienen
2007	J	`jnl`	Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms. Eur. J. Oper. Res. Frank Hoffmann, Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen
2007	—	`conf`	Process Mining as First-Order Classification Learning on Logs with Negative Events. Business Process Management Workshops Stijn Goedertier, David Martens, Bart Baesens, Raf Haesen, Jan Vanthienen
2006	J	`jnl`	A process model to develop an internal rating system: Sovereign credit ratings. Decis. Support Syst. Tony Van Gestel, Bart Baesens, Peter Van Dijcke, Joao Garcia, Johan A. K. Suykens, Jan Vanthienen
2006	—	`conf`	Ant-Based Approach to the Knowledge Fusion Problem. ANTS Workshop David Martens, Manu De Backer, Raf Haesen, Bart Baesens, Christophe Mues, Jan Vanthienen
2006	—	`ch.`	Ants Constructing Rule-Based Classifiers. Swarm Intelligence in Data Mining David Martens, Manu De Backer, Raf Haesen, Bart Baesens, Tom Holvoet
2006	J	`jnl`	Bayesian kernel based classification for financial distress detection. Eur. J. Oper. Res. Tony Van Gestel, Bart Baesens, Johan A. K. Suykens, Dirk Van den Poel, Dirk-Emma Baestaens, Marleen Willekens
2006	—	`conf`	Country Corruption Analysis with Self Organizing Maps and Support Vector Machines. WISI Johan Huysmans, David Martens, Bart Baesens, Jan Vanthienen, Tony Van Gestel
2006	J	`jnl`	Failure prediction with self organizing maps. Expert Syst. Appl. Johan Huysmans, Bart Baesens, Jan Vanthienen, Tony Van Gestel
2006	B	`conf`	ITER: An Algorithm for Predictive Regression Rule Extraction. DaWaK Johan Huysmans, Bart Baesens, Jan Vanthienen
2006	C	`conf`	Risk Management and Regulatory Compliance: A Data Mining Framework Based on Neural Network Rule Extraction. ICIS Rudy Setiono, Christophe Mues, Bart Baesens
2006	J	`jnl`	Special issue on intelligent information systems for financial engineering. Expert Syst. Appl. Bart Baesens, Christophe Mues, Tony Van Gestel, Jan Vanthienen
2005	—	`conf`	A Comprehensible SOM-Based Scoring System. MLDM Johan Huysmans, Bart Baesens, Jan Vanthienen
2005	—	`conf`	A Stigmergy Based Approach to Data Mining. Australian Conference on Artificial Intelligence Manu De Backer, Raf Haesen, David Martens, Bart Baesens
2005	J	`jnl`	Confidence intervals for probabilistic network classifiers. Comput. Stat. Data Anal. Michael Egmont-Petersen, A. J. Feelders, Bart Baesens
2005	J	`jnl`	Filter- versus wrapper-based feature selection for credit scoring. Int. J. Intell. Syst. Petr Somol, Bart Baesens, Pavel Pudil, Jan Vanthienen
2005	—	`conf`	From Knowledge Discovery to Implementation: A Business Intelligence Approach Using Neural Network Rule Extraction and Decision Tables. Wissensmanagement (LNCS Volume) Christophe Mues, Bart Baesens, Rudy Setiono, Jan Vanthienen
2005	—	`conf`	From Knowledge Discovery to Implementation: Developing Business Intelligence Systems using Decision Tables. Wissensmanagement Christophe Mues, Bart Baesens, Jan Vanthienen
2005	J	`jnl`	Neural network survival analysis for personal loan data. J. Oper. Res. Soc. Bart Baesens, Tony Van Gestel, M. Stepanova, Dirk Van den Poel, Jan Vanthienen
2004	J	`jnl`	Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers. Eur. J. Oper. Res. Bart Baesens, Geert Verstraeten, Dirk Van den Poel, Michael Egmont-Petersen, Patrick Van Kenhove, Jan Vanthienen
2004	J	`jnl`	Benchmarking Least Squares Support Vector Machine Classifiers. Mach. Learn. Tony Van Gestel, Johan A. K. Suykens, Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene, Bart De Moor, Joos Vandewalle
2004	—	`conf`	Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams. ICEIS (2) Christophe Mues, Johan Huysmans, Jan Vanthienen, Bart Baesens
2004	—	`conf`	Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams. ICEIS (Selected Papers) Christophe Mues, Johan Huysmans, Jan Vanthienen, Bart Baesens
2004	C	`conf`	Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data. Diagrams Christophe Mues, Bart Baesens, Craig M. Files, Jan Vanthienen
2004	J	`jnl`	Decision diagrams in machine learning: an empirical study on real-life credit-risk data. Expert Syst. Appl. Christophe Mues, Bart Baesens, Craig M. Files, Jan Vanthienen
2004	—	`conf`	Web Usage Mining with Time Constrained Association Rules. ICEIS (2) Johan Huysmans, Christophe Mues, Jan Vanthienen, Bart Baesens
2003	—	`conf`	Bankruptcy prediction with least squares support vector machine classifiers. CIFEr Tony Van Gestel, Bart Baesens, Johan A. K. Suykens, Marcelo Espinoza, Dirk-Emma Baestaens, Jan Vanthienen, Bart De Moor
2003	J	`jnl`	Benchmarking state-of-the-art classification algorithms for credit scoring. J. Oper. Res. Soc. Bart Baesens, Tony Van Gestel, Stijn Viaene, M. Stepanova, Johan A. K. Suykens, Jan Vanthienen
2003	—	`conf`	Building Intelligent Credit Scoring Systems Using Decision Tables. ICEIS (2) Bart Baesens, Christophe Mues, Manu De Backer, Jan Vanthienen, Rudy Setiono
2003	J	`jnl`	Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation. Manag. Sci. Bart Baesens, Rudy Setiono, Christophe Mues, Jan Vanthienen
2002	J	`jnl`	Bayesian neural network learning for repeat purchase modelling in direct marketing. Eur. J. Oper. Res. Bart Baesens, Stijn Viaene, Dirk Van den Poel, Jan Vanthienen, Guido Dedene
2002	J	`jnl`	Comparing a genetic fuzzy and a neurofuzzy classifier for credit scoring. Int. J. Intell. Syst. Frank Hoffmann, Bart Baesens, Jurgen Martens, Ferdi Put, Jan Vanthienen
2002	—	`conf`	Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search. ICPR (3) Bart Baesens, Michael Egmont-Petersen, Robert Castelo, Jan Vanthienen
2002	—	`conf`	Proof Running Two State-Of-The-Art Pattern Recognition Techniques in the Field of Direct Marketing. ICEIS Stijn Viaene, Bart Baesens, Guido Dedene, Jan Vanthienen, Dirk Van den Poel
2001	C	`conf`	Building Credit-Risk Evaluation Expert Systems Using Neural Network Rule Extraction and Decision Tables. ICIS Bart Baesens, Rudy Setiono, Christophe Mues, Stijn Viaene, Jan Vanthienen
2001	J	`jnl`	Knowledge discovery in a direct marketing case using least squares support vector machines. Int. J. Intell. Syst. Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene
2001	J	`jnl`	Wrapped input selection using multilayer perceptrons for repeat-purchase modeling in direct marketing. Intell. Syst. Account. Finance Manag. Stijn Viaene, Bart Baesens, Dirk Van den Poel, Guido Dedene, Jan Vanthienen
2000	B	`conf`	An empirical assessment of kernel type performance for least squares support vector machine classifiers. KES Bart Baesens, Stijn Viaene, Tony Van Gestel, Johan A. K. Suykens, Guido Dedene, Bart De Moor, Jan Vanthienen
2000	—	`conf`	Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case. PKDD Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene
2000	B	`conf`	Wrapped Feature Selection by Means of Guided Neural Network Optimization. ICPR Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene