Deep Learning on Big, Sparse, Behavioral Data. - Sofie De Cnudde; Yanou Ramon; David Martens; Foster J. Provost (Big Data, 2019)

Counterfactual Explanation Algorithms for Behavioral and Textual Data. - Yanou Ramon; David Martens; Foster J. Provost; Theodoros Evgeniou (CoRR, 2019)

A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C. - Yanou Ramon; David Martens; Foster J. Provost; Theodoros Evgeniou (Adv. Data Anal. Classif., 2020)

Metafeatures-based Rule-Extraction for Classifiers on Behavioral and Textual Data. - Yanou Ramon; David Martens; Theodoros Evgeniou; Stiene Praet (CoRR, 2020)

Understanding Consumer Preferences for Explanations Generated by XAI Algorithms. - Yanou Ramon; Tom Vermeire; Olivier Toubia; David Martens; Theodoros Evgeniou (CoRR, 2021)

Explainable AI for Psychological Profiling from Digital Footprints: A Case Study of Big Five Personality Predictions from Spending Data. - Yanou Ramon; Sandra C. Matz; R. A. Farrokhnia; David Martens (CoRR, 2021)

Explainable AI for Psychological Profiling from Behavioral Data: An Application to Big Five Personality Predictions from Financial Transaction Records. - Yanou Ramon; R. A. Farrokhnia; Sandra C. Matz; David Martens (Inf., 2021)

The Impact of Cloaking Digital Footprints on User Privacy and Personalization. - Sofie Goethals; Sandra C. Matz; Foster J. Provost; Yanou Ramon; David Martens (CoRR, 2023)

Can metafeatures help improve explanations of prediction models when using behavioral and textual data? - Yanou Ramon; David Martens; Theodoros Evgeniou; Stiene Praet (Mach. Learn., 2024)