activity
20192023
most citedCounterfactual Explanation Algorithms for Behavioral and Textual Data

75 citations · 130 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY2023★ 1 cited

The Impact of Cloaking Digital Footprints on User Privacy and Personalization

Sofie Goethals, Sandra Matz, Foster Provost +2

Our online lives generate a wealth of behavioral records -'digital footprints'- which are stored and leveraged by technology platforms. This data can be used to create value for us…

cs.AI2021★ 40 cited

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 +1

Every step we take in the digital world leaves behind a record of our behavior; a digital footprint. Research has suggested that algorithms can translate these digital footprints i…

cs.HC2021★ 7 cited

Understanding Consumer Preferences for Explanations Generated by XAI Algorithms

Yanou Ramon, Tom Vermeire, Olivier Toubia +2

Explaining firm decisions made by algorithms in customer-facing applications is increasingly required by regulators and expected by customers. While the emerging field of Explainab…

cs.AI2020★ 7 cited

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

Yanou Ramon, David Martens, Theodoros Evgeniou +1

Machine learning models on behavioral and textual data can result in highly accurate prediction models, but are often very difficult to interpret. Rule-extraction techniques have b…

cs.AI2019★ 75 cited

Counterfactual Explanation Algorithms for Behavioral and Textual Data

Yanou Ramon, David Martens, Foster Provost +1

We study the interpretability of predictive systems that use high-dimensonal behavioral and textual data. Examples include predicting product interest based on online browsing data…