Dirk Van den Poel

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 26

Top Venues

Decis. Support Syst.

Expert Syst. Appl.

Eur. J. Oper. Res.

Comput. Electron. Agric.

Publications

Bram Janssens, Lisa Schetgen, Matthias Bogaert, Matthijs Meire, Dirk Van den Poel
360 Degrees rumor detection: When explanations got some explaining to do. Eur. J. Oper. Res. 317 (2) (2024)
Arno Liseune, Matthieu Salamone, Dirk Van den Poel, Bonifacius Van Ranst, Miel Hostens
Predicting the milk yield curve of dairy cows in the subsequent lactation period using deep learning. Comput. Electron. Agric. 180 (2021)
Arno Liseune, Dirk Van den Poel, Peter R. Hut, Frank J. C. M. van Eerdenburg, Miel Hostens
Leveraging sequential information from multivariate behavioral sensor data to predict the moment of calving in dairy cattle using deep learning. Comput. Electron. Agric. 191 (2021)
Lisa Schetgen, Matthias Bogaert, Dirk Van den Poel
Predicting donation behavior: Acquisition modeling in the nonprofit sector using Facebook data. Decis. Support Syst. 141 (2021)
Giselle van Dongen, Dirk Van den Poel
A Performance Analysis of Fault Recovery in Stream Processing Frameworks. IEEE Access 9 (2021)
Bram Steurtewagen, Dirk Van den Poel
Adding interpretability to predictive maintenance by machine learning on sensor data. Comput. Chem. Eng. 152 (2021)
Matthias Bogaert, Michel Ballings, Rob Bergmans, Dirk Van den Poel
Predicting Self-declared Movie Watching Behavior Using Facebook Data and Information-Fusion Sensitivity Analysis. Decis. Sci. 52 (3) (2021)
Anneleen Rummens, Thom Snaphaan, Nico Van de Weghe, Dirk Van den Poel, Lieven J. R. Pauwels, Wim Hardyns
Do Mobile Phone Data Provide a Better Denominator in Crime Rates and Improve Spatiotemporal Predictions of Crime? ISPRS Int. J. Geo Inf. 10 (6) (2021)
Giselle van Dongen, Dirk Van den Poel
Influencing Factors in the Scalability of Distributed Stream Processing Jobs. IEEE Access 9 (2021)
Matthias Bogaert, Michel Ballings, Dirk Van den Poel, Asil Oztekin
Box office sales and social media: A cross-platform comparison of predictive ability and mechanisms. Decis. Support Syst. 147 (2021)
Bram Steurtewagen, Dirk Van den Poel
Machine learning refinery sensor data to predict catalyst saturation levels. Comput. Chem. Eng. 134 (2020)
Giselle van Dongen, Dirk Van den Poel
Evaluation of Stream Processing Frameworks. IEEE Trans. Parallel Distributed Syst. 31 (8) (2020)
Arno Liseune, Matthieu Salamone, Dirk Van den Poel, Bonifacius Van Ranst, Miel Hostens
Leveraging latent representations for milk yield prediction and interpolation using deep learning. Comput. Electron. Agric. 175 (2020)
Matthias Bogaert, Justine Lootens, Dirk Van den Poel, Michel Ballings
Evaluating multi-label classifiers and recommender systems in the financial service sector. Eur. J. Oper. Res. 279 (2) (2019)
Matthias Bogaert, Michel Ballings, Dirk Van den Poel
Evaluating the importance of different communication types in romantic tie prediction on social media. Ann. Oper. Res. 263 (1-2) (2018)
Giselle van Dongen, Bram Steurtewagen, Dirk Van den Poel
Latency Measurement of Fine-Grained Operations in Benchmarking Distributed Stream Processing Frameworks. BigData Congress (2018)
Matthias Bogaert, Michel Ballings, Martijn Hosten, Dirk Van den Poel
Identifying Soccer Players on Facebook Through Predictive Analytics. Decis. Anal. 14 (4) (2017)
Andrey Volkov, Dries F. Benoit, Dirk Van den Poel
Incorporating sequential information in bankruptcy prediction with predictors based on Markov for discrimination. Decis. Support Syst. 98 (2017)
Matthijs Meire, Michel Ballings, Dirk Van den Poel
The added value of social media data in B2B customer acquisition systems: A real-life experiment. Decis. Support Syst. 104 (2017)
Dirk Thorleuchter, Dirk Van den Poel
Identification of interdisciplinary ideas. Inf. Process. Manag. 52 (6) (2016)
Dirk Van den Poel, Celine Chesterman, Maxim Koppen, Michel Ballings
Equity price direction prediction for day trading: Ensemble classification using technical analysis indicators with interaction effects. CEC (2016)
Matthijs Meire, Michel Ballings, Dirk Van den Poel
The added value of auxiliary data in sentiment analysis of Facebook posts. Decis. Support Syst. 89 (2016)
Jeroen D'Haen, Dirk Van den Poel, Dirk Thorleuchter, Dries F. Benoit
Integrating expert knowledge and multilingual web crawling data in a lead qualification system. Decis. Support Syst. 82 (2016)
Matthias Bogaert, Michel Ballings, Dirk Van den Poel
The added value of Facebook friends data in event attendance prediction. Decis. Support Syst. 82 (2016)
Michel Ballings, Dirk Van den Poel
CRM in social media: Predicting increases in Facebook usage frequency. Eur. J. Oper. Res. 244 (1) (2015)
Michel Ballings, Dirk Van den Poel, Nathalie Hespeels, Ruben Gryp
Evaluating multiple classifiers for stock price direction prediction. Expert Syst. Appl. 42 (20) (2015)
Dirk Thorleuchter, Dirk Van den Poel
Quantitative cross impact analysis with latent semantic indexing. Expert Syst. Appl. 41 (2) (2014)
Dirk Thorleuchter, Tobias Scheja, Dirk Van den Poel
Semantic weak signal tracing. Expert Syst. Appl. 41 (11) (2014)
Kamini Venkatesh, Vadlamani Ravi, Anita Prinzie, Dirk Van den Poel
Cash demand forecasting in ATMs by clustering and neural networks. Eur. J. Oper. Res. 232 (2) (2014)
Dirk Thorleuchter, Dirk Van den Poel
Semantic compared cross impact analysis. Expert Syst. Appl. 41 (7) (2014)
Dirk Thorleuchter, Dirk Van den Poel
Using Text Summarizing to Support Planning of Research and Development. WorldCIST (1) (2014)
Dirk Thorleuchter, Dirk Van den Poel
Web mining based extraction of problem solution ideas. Expert Syst. Appl. 40 (10) (2013)
Michel Ballings, Dirk Van den Poel
Kernel Factory: An ensemble of kernel machines. Expert Syst. Appl. 40 (8) (2013)
Vera L. Miguéis, Dries F. Benoit, Dirk Van den Poel
Enhanced decision support in credit scoring using Bayesian binary quantile regression. J. Oper. Res. Soc. 64 (9) (2013)
Dirk Thorleuchter, Dirk Van den Poel
Technology classification with latent semantic indexing. Expert Syst. Appl. 40 (5) (2013)
Philippe Baecke, Dirk Van den Poel
Improving customer acquisition models by incorporating spatial autocorrelation at different levels of granularity. J. Intell. Inf. Syst. 41 (1) (2013)
Dirk Thorleuchter, Dirk Van den Poel
Analyzing Website Content for Improved R&T Collaboration Planning. WorldCIST (2013)
Michel Ballings, Dirk Van den Poel
Using Eye-Tracking Data of Advertisement Viewing Behavior to Predict Customer Churn. ICDM Workshops (2013)
Dirk Thorleuchter, Dirk Van den Poel
Weak signal identification with semantic web mining. Expert Syst. Appl. 40 (12) (2013)
Dirk Thorleuchter, Dirk Van den Poel
Protecting research and technology from espionage. Expert Syst. Appl. 40 (9) (2013)
Jeroen D'Haen, Dirk Van den Poel, Dirk Thorleuchter
Predicting customer profitability during acquisition: Finding the optimal combination of data source and data mining technique. Expert Syst. Appl. 40 (6) (2013)
Dirk Thorleuchter, Dirk Van den Poel
Predicting e-commerce company success by mining the text of its publicly-accessible website. Expert Syst. Appl. 39 (17) (2012)
Dries F. Benoit, Dirk Van den Poel
Improving customer retention in financial services using kinship network information. Expert Syst. Appl. 39 (13) (2012)
Dirk Thorleuchter, Dirk Van den Poel
Improved multilevel security with latent semantic indexing. Expert Syst. Appl. 39 (18) (2012)
Vera L. Miguéis, Dirk Van den Poel, Ana S. Camanho, João Falcão e Cunha
Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences. Adv. Data Anal. Classif. 6 (4) (2012)
Michel Ballings, Dirk Van den Poel, Emmanuel Verhagen
Improving Customer Churn Prediction by Data Augmentation Using Pictorial Stimulus-Choice Data. IS-MiS (2012)
Jeroen D'Haen, Dirk Van den Poel
Temporary Staffing Services: A Data Mining Perspective. ICDM Workshops (2012)
Griet Alice Verhaert, Dirk Van den Poel
The role of seed money and threshold size in optimizing fundraising campaigns: Past behavior matters! Expert Syst. Appl. 39 (18) (2012)
Dirk Van den Poel
Book Review: Ensemble Methods: Foundations and Algorithms. IEEE Intell. Informatics Bull. 13 (1) (2012)
Dirk Thorleuchter, Dirk Van den Poel
Using Webcrawling of Publicly Available Websites to Assess E-commerce Relationships. SRII Global Conference (2012)
Andrey Volkov, Dirk Van den Poel
Extracting Information from Sequences of Financial Ratios with Markov for Discrimination: An Application to Bankruptcy Prediction. ICDM Workshops (2012)
Michel Ballings, Dirk Van den Poel
Customer event history for churn prediction: How long is long enough? Expert Syst. Appl. 39 (18) (2012)
Philippe Baecke, Dirk Van den Poel
Including spatial interdependence in customer acquisition models: A cross-category comparison. Expert Syst. Appl. 39 (15) (2012)
Michel Ballings, Dirk Van den Poel
The Dangers of Using Intention as a Surrogate for Retention in Brand Positioning Decision Support Systems. GfKl (2012)
Koen W. De Bock, Dirk Van den Poel
Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models. Expert Syst. Appl. 39 (8) (2012)
Vera L. Miguéis, Dirk Van den Poel, Ana S. Camanho, João Falcão e Cunha
Modeling partial customer churn: On the value of first product-category purchase sequences. Expert Syst. Appl. 39 (12) (2012)
Dirk Thorleuchter, Dirk Van den Poel, Anita Prinzie
Analyzing existing customers' websites to improve the customer acquisition process as well as the profitability prediction in B-to-B marketing. Expert Syst. Appl. 39 (3) (2012)
Dirk Thorleuchter, Dirk Van den Poel
Using NMF for Analyzing War Logs. Future Security (2012)
Dirk Thorleuchter, Joachim Schulze, Dirk Van den Poel
Improved Emergency Management by a Loosely Coupled Logistic System. Future Security (2012)
Anita Prinzie, Dirk Van den Poel
Modeling complex longitudinal consumer behavior with Dynamic Bayesian networks: an Acquisition Pattern Analysis application. J. Intell. Inf. Syst. 36 (3) (2011)
Philippe Baecke, Dirk Van den Poel
Data augmentation by predicting spending pleasure using commercially available external data. J. Intell. Inf. Syst. 36 (3) (2011)
Philippe Baecke, Dirk Van den Poel
Incorporating Neighborhood Effects in Customer Relationship Management Models. ISMIS (2011)
Koen W. De Bock, Dirk Van den Poel
An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction. Expert Syst. Appl. 38 (10) (2011)
Michel Ballings, Dries F. Benoit, Dirk Van den Poel
RFM Variables Revisited Using Quantile Regression. ICDM Workshops (2011)
Kristof Coussement, Dries F. Benoit, Dirk Van den Poel
Improved marketing decision making in a customer churn prediction context using generalized additive models. Expert Syst. Appl. 37 (3) (2010)
Philippe Baecke, Dirk Van den Poel
Improving Purchasing Behavior Predictions by Data Augmentation with Situational Variables. Int. J. Inf. Technol. Decis. Mak. 9 (6) (2010)
Koen W. De Bock, Kristof Coussement, Dirk Van den Poel
Ensemble classification based on generalized additive models. Comput. Stat. Data Anal. 54 (6) (2010)
Koen W. De Bock, Dirk Van den Poel
Predicting Website Audience Demographics forWeb Advertising Targeting Using Multi-Website Clickstream Data. Fundam. Informaticae 98 (1) (2010)
Dirk Thorleuchter, Dirk Van den Poel, Anita Prinzie
Extracting Consumers Needs for New Products - A Web Mining Approach. WKDD (2010)
Dirk Thorleuchter, Dirk Van den Poel, Anita Prinzie
Mining ideas from textual information. Expert Syst. Appl. 37 (10) (2010)
Koen W. De Bock, Dirk Van den Poel
Ensembles of Probability Estimation Trees for Customer Churn Prediction. IEA/AIE (2) (2010)
Jonathan Burez, Dirk Van den Poel
Handling class imbalance in customer churn prediction. Expert Syst. Appl. 36 (3) (2009)
Kristof Coussement, Dirk Van den Poel
Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers. Expert Syst. Appl. 36 (3) (2009)
Dries F. Benoit, Dirk Van den Poel
Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services. Expert Syst. Appl. 36 (7) (2009)
Anita Prinzie, Dirk Van den Poel
Dynamic Bayesian Networks for Acquisition Pattern Analysis: A Financial-Services Cross-Sell Application. PAKDD Workshops (2008)
Kristof Coussement, Dirk Van den Poel
Integrating the voice of customers through call center emails into a decision support system for churn prediction. Inf. Manag. 45 (3) (2008)
Kristof Coussement, Dirk Van den Poel
Improving customer complaint management by automatic email classification using linguistic style features as predictors. Decis. Support Syst. 44 (4) (2008)
Jonathan Burez, Dirk Van den Poel
Separating financial from commercial customer churn: A modeling step towards resolving the conflict between the sales and credit department. Expert Syst. Appl. 35 (1-2) (2008)
Kristof Coussement, Dirk Van den Poel
Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques. Expert Syst. Appl. 34 (1) (2008)
Anita Prinzie, Dirk Van den Poel
Random Forests for multiclass classification: Random MultiNomial Logit. Expert Syst. Appl. 34 (3) (2008)
Anita Prinzie, Dirk Van den Poel
Random Multiclass Classification: Generalizing Random Forests to Random MNL and Random NB. DEXA (2007)
Bart Larivière, Dirk Van den Poel
Banking behaviour after the lifecycle event of "moving in together": An exploratory study of the role of marketing investments. Eur. J. Oper. Res. 183 (1) (2007)
Anita Prinzie, Dirk Van den Poel
Predicting home-appliance acquisition sequences: Markov/Markov for Discrimination and survival analysis for modeling sequential information in NPTB models. Decis. Support Syst. 44 (1) (2007)
Wouter Buckinx, Geert Verstraeten, Dirk Van den Poel
Predicting customer loyalty using the internal transactional database. Expert Syst. Appl. 32 (1) (2007)
Jonathan Burez, Dirk Van den Poel
CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services. Expert Syst. Appl. 32 (2) (2007)
Tony Van Gestel, Bart Baesens, Johan A. K. Suykens, Dirk Van den Poel, Dirk-Emma Baestaens, Marleen Willekens
Bayesian kernel based classification for financial distress detection. Eur. J. Oper. Res. 172 (3) (2006)
Anita Prinzie, Dirk Van den Poel
Incorporating sequential information into traditional classification models by using an element/position-sensitive SAM. Decis. Support Syst. 42 (2) (2006)
Anita Prinzie, Dirk Van den Poel
Investigating purchasing-sequence patterns for financial services using Markov, MTD and MTDg models. Eur. J. Oper. Res. 170 (3) (2006)
Anita Prinzie, Dirk Van den Poel
Exploiting Randomness for Feature Selection in Multinomial Logit: A CRM Cross-Sell Application. ICDM (2006)
Geert Verstraeten, Dirk Van den Poel
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) (2006)
Bart Larivière, Dirk Van den Poel
Investigating the post-complaint period by means of survival analysis. Expert Syst. Appl. 29 (3) (2005)
Dirk Van den Poel, Wouter Buckinx
Predicting online-purchasing behaviour. Eur. J. Oper. Res. 166 (2) (2005)
Wouter Buckinx, Dirk Van den Poel
Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting. Eur. J. Oper. Res. 164 (1) (2005)
Bernd Vindevogel, Dirk Van den Poel, Geert Wets
Why promotion strategies based on market basket analysis do not work. Expert Syst. Appl. 28 (3) (2005)
Geert Verstraeten, Dirk Van den Poel
The impact of sample bias on consumer credit scoring performance and profitability. J. Oper. Res. Soc. 56 (8) (2005)
Bart Larivière, Dirk Van den Poel
Predicting customer retention and profitability by using random forests and regression forests techniques. Expert Syst. Appl. 29 (2) (2005)
Bart Baesens, Tony Van Gestel, M. Stepanova, Dirk Van den Poel, Jan Vanthienen
Neural network survival analysis for personal loan data. J. Oper. Res. Soc. 56 (9) (2005)
Anita Prinzie, Dirk Van den Poel
Constrained optimization of data-mining problems to improve model performance: A direct-marketing application. Expert Syst. Appl. 29 (3) (2005)
Dirk Van den Poel, Jan De Schamphelaere, Geert Wets
Direct and indirect effects of retail promotions on sales and profits in the do-it-yourself market. Expert Syst. Appl. 27 (1) (2004)
Dirk Van den Poel, Bart Larivière
Customer attrition analysis for financial services using proportional hazard models. Eur. J. Oper. Res. 157 (1) (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dirk Van den Poel