David Martens

Inf., 2021

Predictive modeling to study lifestyle politics with Facebook likes.

[BibT_eX]

[DOI]

Stiene Praet

Peter Van Aelst

Patrick van Erkel

Stephan Van der Veeken

EPJ Data Sci., 2021

Explainable AI for Psychological Profiling from Digital Footprints: A Case Study of Big Five Personality Predictions from Spending Data.

[BibT_eX]

[DOI]

CoRR, 2021

A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular Data.

[BibT_eX]

[DOI]

Raphael Mazzine

CoRR, 2021

Understanding Consumer Preferences for Explanations Generated by XAI Algorithms.

[BibT_eX]

[DOI]

CoRR, 2021

NICE: An Algorithm for Nearest Instance Counterfactual Explanations.

[BibT_eX]

[DOI]

Dieter Brughmans

CoRR, 2021

How to Choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020

Customs fraud detection.

[BibT_eX]

[DOI]

Jellis Vanhoeyveld

Bruno Peeters

Pattern Anal. Appl., 2020

A benchmarking study of classification techniques for behavioral data.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2020

Efficient Parcel Delivery by Predicting Customers' Locations.

[BibT_eX]

[DOI]

Stiene Praet

Decis. Sci., 2020

Explainable Image Classification with Evidence Counterfactual.

[BibT_eX]

[DOI]

Tom Vermeire

CoRR, 2020

Metafeatures-based Rule-Extraction for Classifiers on Behavioral and Textual Data.

[BibT_eX]

[DOI]

CoRR, 2020

Value-added tax fraud detection with scalable anomaly detection techniques.

[BibT_eX]

[DOI]

Jellis Vanhoeyveld

Bruno Peeters

Appl. Soft Comput., 2020

A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2020

2019

What does your Facebook profile reveal about your creditworthiness? Using alternative data for microfinance.

[BibT_eX]

[DOI]

J. Oper. Res. Soc., 2019

Counterfactual Explanation Algorithms for Behavioral and Textual Data.

[BibT_eX]

[DOI]

CoRR, 2019

Dance Hit Song Prediction.

[BibT_eX]

[DOI]

Dorien Herremans

Alexandru-Gabriel Pielmus

Kenneth Sörensen

CoRR, 2019

Deep Learning on Big, Sparse, Behavioral Data.

[BibT_eX]

[DOI]

Big Data, 2019

Wearable Multimodal Stethoscope Patch for Wireless Biosignal Acquisition and Long-Term Auscultation.

[BibT_eX]

[DOI]

Timo Tigges

Thomas Penzel

Reinhold Orglmeister

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Wallenius Bayes.

[BibT_eX]

[DOI]

Mach. Learn., 2018

Imbalanced classification in sparse and large behaviour datasets.

[BibT_eX]

[DOI]

Jellis Vanhoeyveld

Data Min. Knowl. Discov., 2018

2017

Bankruptcy prediction for SMEs using relational data.

[BibT_eX]

[DOI]

Decis. Support Syst., 2017

RULEM: A novel heuristic rule learning approach for ordinal classification with monotonicity constraints.

[BibT_eX]

[DOI]

Wouter Verbeke

Appl. Soft Comput., 2017

2016

Mining Massive Fine-Grained Behavior Data to Improve Predictive Analytics.

[BibT_eX]

[DOI]

Jessica Clark

MIS Q., 2016

Explaining Classification Models Built on High-Dimensional Sparse Data.

[BibT_eX]

[DOI]

CoRR, 2016

Composer Classification Models for Music-Theory Building.

[BibT_eX]

[DOI]

Dorien Herremans

Kenneth Sörensen

Proceedings of the Computational Music Analysis, 2016

2015

Active Learning-Based Pedagogical Rule Extraction.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Comprehensible software fault and effort prediction: A data mining approach.

[BibT_eX]

[DOI]

Julie Moeyersoms

Karel Dejaeger

J. Syst. Softw., 2015

Finding Similar Mobile Consumers with a Privacy-Friendly Geosocial Design.

[BibT_eX]

[DOI]

Alan Murray

Inf. Syst. Res., 2015

Including high-cardinality attributes in predictive models: A case study in churn prediction in the energy sector.

[BibT_eX]

[DOI]

Julie Moeyersoms

Decis. Support Syst., 2015

Loyal to your city? A data mining analysis of a public service loyalty program.

[BibT_eX]

[DOI]

Sofie De Cnudde

Decis. Support Syst., 2015

To tune or not to tune: rule evaluation for metaheuristic-based sequential covering algorithms.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2015

Classification and Generation of Composer-Specific Music Using Global Feature Models and Variable Neighborhood Search.

[BibT_eX]

[DOI]

Dorien Herremans

Kenneth Sörensen

Comput. Music. J., 2015

Iteratively refining SVMs using priors.

[BibT_eX]

[DOI]

Theodoros Evgeniou

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

A Comment on "Correlation as a Heuristic for Accurate and Comprehensible Ant Colony Optimization-Based Classifiers".

[BibT_eX]

[DOI]

Bart Minnaert

IEEE Trans. Evol. Comput., 2014

Explaining Data-Driven Document Classifications.

[BibT_eX]

[DOI]

MIS Q., 2014

Forecasting Loss Given Default models: impact of account characteristics and the macroeconomic state.

[BibT_eX]

[DOI]

J. Oper. Res. Soc., 2014

Evaluating and understanding text-based stock price prediction models.

[BibT_eX]

[DOI]

Tom De Smedt

Walter Daelemans

Inf. Process. Manag., 2014

Social network analysis for customer churn prediction.

[BibT_eX]

[DOI]

Wouter Verbeke

Appl. Soft Comput., 2014

Corporate residence fraud detection.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Predictive Modeling With Big Data: <i>Is Bigger Really Better</i>?

[BibT_eX]

[DOI]

Big Data, 2013

2012

Data Mining Techniques for Software Effort Estimation: A Comparative Study.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2012

Media coverage in times of political crisis: A text mining approach.

[BibT_eX]

[DOI]

Tom De Smedt

Walter Daelemans

Expert Syst. Appl., 2012

New insights into churn prediction in the telecommunication sector: A profit driven data mining approach.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2012

Towards a Particle Swarm Optimization-Based Regression Rule Miner.

[BibT_eX]

[DOI]

Bart Minnaert

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Active Learning Based Rule Extraction for Regression.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

Guest Editorial White Box Nonlinear Prediction Models.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

Editorial survey: swarm intelligence for data mining.

[BibT_eX]

[DOI]

Tom Fawcett

Mach. Learn., 2011

Building comprehensible customer churn prediction models with advanced rule induction techniques.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2011

Identifying financially successful start-up profiles with data mining.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2011

Performance of classification models from a user perspective.

[BibT_eX]

[DOI]

Decis. Support Syst., 2011

Process discovery in event logs: An application in the telecom industry.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2011

2010

Building Acceptable Classification Models.

[BibT_eX]

[DOI]

Proceedings of the Data Mining - Special Issue in Annals of Information Systems, 2010

Credit rating prediction using Ant Colony Optimization.

[BibT_eX]

[DOI]

J. Oper. Res. Soc., 2010

An overview and framework for PD backtesting and benchmarking.

[BibT_eX]

[DOI]

J. Oper. Res. Soc., 2010

From linear to non-linear kernel based classifiers for bankruptcy prediction.

[BibT_eX]

[DOI]

Tony Van Gestel

Neurocomputing, 2010

Software Effort Prediction Using Regression Rule Extraction from Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009

Decompositional Rule Extraction from Support Vector Machines by Active Learning.

[BibT_eX]

[DOI]

Tony Van Gestel

IEEE Trans. Knowl. Data Eng., 2009

50 years of data mining and OR: upcoming trends and challenges.

[BibT_eX]

[DOI]

J. Oper. Res. Soc., 2009

Robust Process Discovery with Artificial Negative Events.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2009

Inferring comprehensible business/ICT alignment rules.

[BibT_eX]

[DOI]

Inf. Manag., 2009

Including Domain Knowledge in Customer Churn Prediction Using AntMiner+.

[BibT_eX]

Proceedings of the Advances in Data Mining in Marketing. 9th Industrial Conference, 2009

2008

Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring.

[BibT_eX]

[DOI]

Proceedings of the Rule Extraction from Support Vector Machines, 2008

Building acceptable classification models for financial engineering applications: thesis summary.

[BibT_eX]

[DOI]