Yanou Ramon
Yanou Ramon
McKinsey Digital - PhD in Data Science (University of Antwerp)
Verified email at - Homepage
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A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C
Y Ramon, D Martens, F Provost, T Evgeniou
Advances in Data Analysis and Classification 14, 801-819, 2020
Understanding consumer preferences for explanations generated by XAI algorithms
Y Ramon, T Vermeire, O Toubia, D Martens, T Evgeniou
arXiv preprint arXiv:2107.02624, 2021
Can metafeatures help improve explanations of prediction models when using behavioral and textual data?
Y Ramon, D Martens, T Evgeniou, S Praet
Machine Learning, 1-40, 2021
Deep learning on big, sparse, behavioral data
S De Cnudde, Y Ramon, D Martens, F Provost
Big data 7 (4), 286-307, 2019
Explainable AI for psychological profiling from behavioral data: An application to big five personality predictions from financial transaction records
Y Ramon, RA Farrokhnia, SC Matz, D Martens
Information 12 (12), 518, 2021
Metafeatures-based rule-extraction for classifiers on behavioral and textual data
Y Ramon, D Martens, T Evgeniou, S Praet
arXiv preprint arXiv:2003.04792, 2020
How Should Artificial Intelligence Explain Itself? Understanding Preferences for Explanations Generated by XAI Algorithms
Y Ramon, T Vermeire, D Martens, T Evgeniou, O Toubia
Understanding Preferences for Explanations Generated by XAI Algorithms (June …, 2021
Rule-based explanation methods to gain insight into classification models using behavioral data
Y Ramon
University of Antwerp, 2022
Explainable AI for Psychological Profiling from Digital Footprints: A Case Study of Big Five Personality Predictions from Spending Data
DM Yanou Ramon, Sandra C. Matz, R.A. Farrokhnia, 2021
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