Dirk Van den Poel

115 papers A* 1B 2C 3Journal 90Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Comparative Analysis of Topic Reduction Techniques for BERTopic. IEEE Access Wannes Janssens, Matthias Bogaert, Dirk Van den Poel
2025	J	`jnl`	LLM-Assisted Topic Reduction for BERTopic on Social Media Data. CoRR Wannes Janssens, Matthias Bogaert, Dirk Van den Poel
2024	J	`jnl`	360 Degrees rumor detection: When explanations got some explaining to do. Eur. J. Oper. Res. Bram Janssens, Lisa Schetgen, Matthias Bogaert, Matthijs Meire, Dirk Van den Poel
2024	J	`jnl`	B2Boost: instance-dependent profit-driven modelling of B2B churn. Ann. Oper. Res. Bram Janssens, Matthias Bogaert, Astrid Bagué, Dirk Van den Poel
2022	B	`ed.`	IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022 IEEE Big Data Shusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan
2021	J	`jnl`	A Performance Analysis of Fault Recovery in Stream Processing Frameworks. IEEE Access Giselle van Dongen, Dirk Van den Poel
2021	J	`jnl`	Adding interpretability to predictive maintenance by machine learning on sensor data. Comput. Chem. Eng. Bram Steurtewagen, Dirk Van den Poel
2021	J	`jnl`	Box office sales and social media: A cross-platform comparison of predictive ability and mechanisms. Decis. Support Syst. Matthias Bogaert, Michel Ballings, Dirk Van den Poel, Asil Oztekin
2021	J	`jnl`	Do Mobile Phone Data Provide a Better Denominator in Crime Rates and Improve Spatiotemporal Predictions of Crime? ISPRS Int. J. Geo Inf. Anneleen Rummens, Thom Snaphaan, Nico Van de Weghe, Dirk Van den Poel, Lieven J. R. Pauwels, Wim Hardyns
2021	J	`jnl`	Influencing Factors in the Scalability of Distributed Stream Processing Jobs. IEEE Access Giselle van Dongen, Dirk Van den Poel
2021	J	`jnl`	Leveraging sequential information from multivariate behavioral sensor data to predict the moment of calving in dairy cattle using deep learning. Comput. Electron. Agric. Arno Liseune, Dirk Van den Poel, Peter R. Hut, Frank J. C. M. van Eerdenburg, Miel Hostens
2021	J	`jnl`	Predicting Self-declared Movie Watching Behavior Using Facebook Data and Information-Fusion Sensitivity Analysis. Decis. Sci. Matthias Bogaert, Michel Ballings, Rob Bergmans, Dirk Van den Poel
2021	J	`jnl`	Predicting donation behavior: Acquisition modeling in the nonprofit sector using Facebook data. Decis. Support Syst. Lisa Schetgen, Matthias Bogaert, Dirk Van den Poel
2021	J	`jnl`	Predicting the milk yield curve of dairy cows in the subsequent lactation period using deep learning. Comput. Electron. Agric. Arno Liseune, Matthieu Salamone, Dirk Van den Poel, Bonifacius Van Ranst, Miel Hostens
2020	J	`jnl`	Evaluation of Stream Processing Frameworks. IEEE Trans. Parallel Distributed Syst. Giselle van Dongen, Dirk Van den Poel
2020	J	`jnl`	Leveraging latent representations for milk yield prediction and interpolation using deep learning. Comput. Electron. Agric. Arno Liseune, Matthieu Salamone, Dirk Van den Poel, Bonifacius Van Ranst, Miel Hostens
2020	J	`jnl`	Machine learning refinery sensor data to predict catalyst saturation levels. Comput. Chem. Eng. Bram Steurtewagen, Dirk Van den Poel
2019	J	`jnl`	Evaluating multi-label classifiers and recommender systems in the financial service sector. Eur. J. Oper. Res. Matthias Bogaert, Justine Lootens, Dirk Van den Poel, Michel Ballings
2018	J	`jnl`	Evaluating the importance of different communication types in romantic tie prediction on social media. Ann. Oper. Res. Matthias Bogaert, Michel Ballings, Dirk Van den Poel
2018	—	`conf`	Latency Measurement of Fine-Grained Operations in Benchmarking Distributed Stream Processing Frameworks. BigData Congress Giselle van Dongen, Bram Steurtewagen, Dirk Van den Poel
2017	J	`jnl`	Identifying Soccer Players on Facebook Through Predictive Analytics. Decis. Anal. Matthias Bogaert, Michel Ballings, Martijn Hosten, Dirk Van den Poel
2017	J	`jnl`	Incorporating sequential information in bankruptcy prediction with predictors based on Markov for discrimination. Decis. Support Syst. Andrey Volkov, Dries F. Benoit, Dirk Van den Poel
2017	J	`jnl`	The added value of social media data in B2B customer acquisition systems: A real-life experiment. Decis. Support Syst. Matthijs Meire, Michel Ballings, Dirk Van den Poel
2016	B	`conf`	Equity price direction prediction for day trading: Ensemble classification using technical analysis indicators with interaction effects. CEC Dirk Van den Poel, Celine Chesterman, Maxim Koppen, Michel Ballings
2016	J	`jnl`	Identification of interdisciplinary ideas. Inf. Process. Manag. Dirk Thorleuchter, Dirk Van den Poel
2016	J	`jnl`	Integrating expert knowledge and multilingual web crawling data in a lead qualification system. Decis. Support Syst. Jeroen D'Haen, Dirk Van den Poel, Dirk Thorleuchter, Dries F. Benoit
2016	J	`jnl`	The added value of Facebook friends data in event attendance prediction. Decis. Support Syst. Matthias Bogaert, Michel Ballings, Dirk Van den Poel
2016	J	`jnl`	The added value of auxiliary data in sentiment analysis of Facebook posts. Decis. Support Syst. Matthijs Meire, Michel Ballings, Dirk Van den Poel
2015	J	`jnl`	CRM in social media: Predicting increases in Facebook usage frequency. Eur. J. Oper. Res. Michel Ballings, Dirk Van den Poel
2015	J	`jnl`	Evaluating multiple classifiers for stock price direction prediction. Expert Syst. Appl. Michel Ballings, Dirk Van den Poel, Nathalie Hespeels, Ruben Gryp
2014	J	`jnl`	Cash demand forecasting in ATMs by clustering and neural networks. Eur. J. Oper. Res. Kamini Venkatesh, Vadlamani Ravi, Anita Prinzie, Dirk Van den Poel
2014	J	`jnl`	Quantitative cross impact analysis with latent semantic indexing. Expert Syst. Appl. Dirk Thorleuchter, Dirk Van den Poel
2014	J	`jnl`	Semantic compared cross impact analysis. Expert Syst. Appl. Dirk Thorleuchter, Dirk Van den Poel
2014	J	`jnl`	Semantic weak signal tracing. Expert Syst. Appl. Dirk Thorleuchter, Tobias Scheja, Dirk Van den Poel
2014	—	`conf`	Using Text Summarizing to Support Planning of Research and Development. WorldCIST (1) Dirk Thorleuchter, Dirk Van den Poel
2013	—	`book`	Algorithms from and for Nature and Life - Classification and Data Analysis Berthold Lausen, Dirk Van den Poel, Alfred Ultsch
2013	C	`conf`	Analyzing Website Content for Improved R&T Collaboration Planning. WorldCIST Dirk Thorleuchter, Dirk Van den Poel
2013	J	`jnl`	Enhanced decision support in credit scoring using Bayesian binary quantile regression. J. Oper. Res. Soc. Vera L. Miguéis, Dries F. Benoit, Dirk Van den Poel
2013	J	`jnl`	Improving customer acquisition models by incorporating spatial autocorrelation at different levels of granularity. J. Intell. Inf. Syst. Philippe Baecke, Dirk Van den Poel
2013	J	`jnl`	Kernel Factory: An ensemble of kernel machines. Expert Syst. Appl. Michel Ballings, Dirk Van den Poel
2013	J	`jnl`	Predicting customer profitability during acquisition: Finding the optimal combination of data source and data mining technique. Expert Syst. Appl. Jeroen D'Haen, Dirk Van den Poel, Dirk Thorleuchter
2013	J	`jnl`	Protecting research and technology from espionage. Expert Syst. Appl. Dirk Thorleuchter, Dirk Van den Poel
2013	J	`jnl`	Technology classification with latent semantic indexing. Expert Syst. Appl. Dirk Thorleuchter, Dirk Van den Poel
2013	—	`conf`	Using Eye-Tracking Data of Advertisement Viewing Behavior to Predict Customer Churn. ICDM Workshops Michel Ballings, Dirk Van den Poel
2013	J	`jnl`	Weak signal identification with semantic web mining. Expert Syst. Appl. Dirk Thorleuchter, Dirk Van den Poel
2013	J	`jnl`	Web mining based extraction of problem solution ideas. Expert Syst. Appl. Dirk Thorleuchter, Dirk Van den Poel
2012	J	`jnl`	Analyzing existing customers' websites to improve the customer acquisition process as well as the profitability prediction in B-to-B marketing. Expert Syst. Appl. Dirk Thorleuchter, Dirk Van den Poel, Anita Prinzie
2012	J	`jnl`	Book Review: Ensemble Methods: Foundations and Algorithms. IEEE Intell. Informatics Bull. Dirk Van den Poel
2012	J	`jnl`	Customer event history for churn prediction: How long is long enough? Expert Syst. Appl. Michel Ballings, Dirk Van den Poel
2012	—	`conf`	Extracting Information from Sequences of Financial Ratios with Markov for Discrimination: An Application to Bankruptcy Prediction. ICDM Workshops Andrey Volkov, Dirk Van den Poel
2012	—	`conf`	Improved Emergency Management by a Loosely Coupled Logistic System. Future Security Dirk Thorleuchter, Joachim Schulze, Dirk Van den Poel
2012	J	`jnl`	Improved multilevel security with latent semantic indexing. Expert Syst. Appl. Dirk Thorleuchter, Dirk Van den Poel
2012	—	`conf`	Improving Customer Churn Prediction by Data Augmentation Using Pictorial Stimulus-Choice Data. IS-MiS Michel Ballings, Dirk Van den Poel, Emmanuel Verhagen
2012	J	`jnl`	Improving customer retention in financial services using kinship network information. Expert Syst. Appl. Dries F. Benoit, Dirk Van den Poel
2012	J	`jnl`	Including spatial interdependence in customer acquisition models: A cross-category comparison. Expert Syst. Appl. Philippe Baecke, Dirk Van den Poel
2012	J	`jnl`	Modeling partial customer churn: On the value of first product-category purchase sequences. Expert Syst. Appl. Vera L. Miguéis, Dirk Van den Poel, Ana S. Camanho, João Falcão e Cunha
2012	J	`jnl`	Predicting e-commerce company success by mining the text of its publicly-accessible website. Expert Syst. Appl. Dirk Thorleuchter, Dirk Van den Poel
2012	J	`jnl`	Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences. Adv. Data Anal. Classif. Vera L. Miguéis, Dirk Van den Poel, Ana S. Camanho, João Falcão e Cunha
2012	J	`jnl`	Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models. Expert Syst. Appl. Koen W. De Bock, Dirk Van den Poel
2012	—	`conf`	Temporary Staffing Services: A Data Mining Perspective. ICDM Workshops Jeroen D'Haen, Dirk Van den Poel
2012	—	`conf`	The Dangers of Using Intention as a Surrogate for Retention in Brand Positioning Decision Support Systems. GfKl Michel Ballings, Dirk Van den Poel
2012	J	`jnl`	The role of seed money and threshold size in optimizing fundraising campaigns: Past behavior matters! Expert Syst. Appl. Griet Alice Verhaert, Dirk Van den Poel
2012	—	`conf`	Using NMF for Analyzing War Logs. Future Security Dirk Thorleuchter, Dirk Van den Poel
2012	—	`conf`	Using Webcrawling of Publicly Available Websites to Assess E-commerce Relationships. SRII Global Conference Dirk Thorleuchter, Dirk Van den Poel
2011	J	`jnl`	An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction. Expert Syst. Appl. Koen W. De Bock, Dirk Van den Poel
2011	J	`jnl`	Data augmentation by predicting spending pleasure using commercially available external data. J. Intell. Inf. Syst. Philippe Baecke, Dirk Van den Poel
2011	C	`conf`	Incorporating Neighborhood Effects in Customer Relationship Management Models. ISMIS Philippe Baecke, Dirk Van den Poel
2011	J	`jnl`	Modeling complex longitudinal consumer behavior with Dynamic Bayesian networks: an Acquisition Pattern Analysis application. J. Intell. Inf. Syst. Anita Prinzie, Dirk Van den Poel
2011	—	`conf`	RFM Variables Revisited Using Quantile Regression. ICDM Workshops Michel Ballings, Dries F. Benoit, Dirk Van den Poel
2010	J	`jnl`	Ensemble classification based on generalized additive models. Comput. Stat. Data Anal. Koen W. De Bock, Kristof Coussement, Dirk Van den Poel
2010	—	`conf`	Ensembles of Probability Estimation Trees for Customer Churn Prediction. IEA/AIE (2) Koen W. De Bock, Dirk Van den Poel
2010	—	`conf`	Extracting Consumers Needs for New Products - A Web Mining Approach. WKDD Dirk Thorleuchter, Dirk Van den Poel, Anita Prinzie
2010	J	`jnl`	Improved marketing decision making in a customer churn prediction context using generalized additive models. Expert Syst. Appl. Kristof Coussement, Dries F. Benoit, Dirk Van den Poel
2010	J	`jnl`	Improving Purchasing Behavior Predictions by Data Augmentation with Situational Variables. Int. J. Inf. Technol. Decis. Mak. Philippe Baecke, Dirk Van den Poel
2010	J	`jnl`	Mining ideas from textual information. Expert Syst. Appl. Dirk Thorleuchter, Dirk Van den Poel, Anita Prinzie
2010	J	`jnl`	Predicting Website Audience Demographics forWeb Advertising Targeting Using Multi-Website Clickstream Data. Fundam. Informaticae Koen W. De Bock, Dirk Van den Poel
2009	J	`jnl`	Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services. Expert Syst. Appl. Dries F. Benoit, Dirk Van den Poel
2009	J	`jnl`	Handling class imbalance in customer churn prediction. Expert Syst. Appl. Jonathan Burez, Dirk Van den Poel
2009	J	`jnl`	Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers. Expert Syst. Appl. Kristof Coussement, Dirk Van den Poel
2008	J	`jnl`	Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques. Expert Syst. Appl. Kristof Coussement, Dirk Van den Poel
2008	—	`conf`	Dynamic Bayesian Networks for Acquisition Pattern Analysis: A Financial-Services Cross-Sell Application. PAKDD Workshops Anita Prinzie, Dirk Van den Poel
2008	J	`jnl`	Improving customer complaint management by automatic email classification using linguistic style features as predictors. Decis. Support Syst. Kristof Coussement, Dirk Van den Poel
2008	J	`jnl`	Integrating the voice of customers through call center emails into a decision support system for churn prediction. Inf. Manag. Kristof Coussement, Dirk Van den Poel
2008	J	`jnl`	Random Forests for multiclass classification: Random MultiNomial Logit. Expert Syst. Appl. Anita Prinzie, Dirk Van den Poel
2008	J	`jnl`	Separating financial from commercial customer churn: A modeling step towards resolving the conflict between the sales and credit department. Expert Syst. Appl. Jonathan Burez, Dirk Van den Poel
2007	J	`jnl`	Banking behaviour after the lifecycle event of "moving in together": An exploratory study of the role of marketing investments. Eur. J. Oper. Res. Bart Larivière, Dirk Van den Poel
2007	J	`jnl`	CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services. Expert Syst. Appl. Jonathan Burez, Dirk Van den Poel
2007	J	`jnl`	Predicting customer loyalty using the internal transactional database. Expert Syst. Appl. Wouter Buckinx, Geert Verstraeten, Dirk Van den Poel
2007	J	`jnl`	Predicting home-appliance acquisition sequences: Markov/Markov for Discrimination and survival analysis for modeling sequential information in NPTB models. Decis. Support Syst. Anita Prinzie, Dirk Van den Poel
2007	C	`conf`	Random Multiclass Classification: Generalizing Random Forests to Random MNL and Random NB. DEXA Anita Prinzie, Dirk Van den Poel
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	A*	`conf`	Exploiting Randomness for Feature Selection in Multinomial Logit: A CRM Cross-Sell Application. ICDM Anita Prinzie, Dirk Van den Poel
2006	J	`jnl`	Incorporating sequential information into traditional classification models by using an element/position-sensitive SAM. Decis. Support Syst. Anita Prinzie, Dirk Van den Poel
2006	J	`jnl`	Investigating purchasing-sequence patterns for financial services using Markov, MTD and MTDg models. Eur. J. Oper. Res. Anita Prinzie, Dirk Van den Poel
2006	—	`conf`	Using Predicted Outcome Stratified Sampling to Reduce the Variability in Predictive Performance of a One-Shot Train-and-Test Split for Individual Customer Predictions. ICDM (Posters) Geert Verstraeten, Dirk Van den Poel
2005	J	`jnl`	Constrained optimization of data-mining problems to improve model performance: A direct-marketing application. Expert Syst. Appl. Anita Prinzie, Dirk Van den Poel
2005	J	`jnl`	Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting. Eur. J. Oper. Res. Wouter Buckinx, Dirk Van den Poel
2005	J	`jnl`	Investigating the post-complaint period by means of survival analysis. Expert Syst. Appl. Bart Larivière, Dirk Van den Poel
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
2005	J	`jnl`	Predicting customer retention and profitability by using random forests and regression forests techniques. Expert Syst. Appl. Bart Larivière, Dirk Van den Poel
2005	J	`jnl`	Predicting online-purchasing behaviour. Eur. J. Oper. Res. Dirk Van den Poel, Wouter Buckinx
2005	J	`jnl`	The impact of sample bias on consumer credit scoring performance and profitability. J. Oper. Res. Soc. Geert Verstraeten, Dirk Van den Poel
2005	J	`jnl`	Why promotion strategies based on market basket analysis do not work. Expert Syst. Appl. Bernd Vindevogel, Dirk Van den Poel, Geert Wets
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`	Customer attrition analysis for financial services using proportional hazard models. Eur. J. Oper. Res. Dirk Van den Poel, Bart Larivière
2004	J	`jnl`	Customer-adapted coupon targeting using feature selection. Expert Syst. Appl. Wouter Buckinx, Elke Moons, Dirk Van den Poel, Geert Wets
2004	J	`jnl`	Direct and indirect effects of retail promotions on sales and profits in the do-it-yourself market. Expert Syst. Appl. Dirk Van den Poel, Jan De Schamphelaere, Geert Wets
2004	J	`jnl`	Investigating the role of product features in preventing customer churn, by using survival analysis and choice modeling: The case of financial services. Expert Syst. Appl. Bart Larivière, Dirk Van den Poel
2004	J	`jnl`	Joint optimization of customer segmentation and marketing policy to maximize long-term profitability. Expert Syst. Appl. Jedid-Jah Jonker, Nanda Piersma, Dirk Van den Poel
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	—	`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	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	—	`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
1998	—	`conf`	Purchase Prediction in Database Marketing with the ProbRough System. Rough Sets and Current Trends in Computing Dirk Van den Poel, Zdzislaw Piasta