Heysem Kaya

Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos

2018 · arXiv (Cornell University)

Explainability and interpretability are two critical aspects of decision support systems. Within computer vision, they are critical in certain tasks related to human behavior analysis such as in health care applications. Despite their importance, it …

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

2021 · arXiv (Cornell University)

The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the COVID-19 Cough and COVID-19 Speech Sub-Challenges, a binary classification on COVID-19 infection …

Using Explainability for Bias Mitigation: A Case Study for Fair Recruitment Assessment

2023 · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

In this study, we propose a bias-mitigation algorithm, dubbed ProxyMute, that uses an explainability method to detect proxy features of a given sensitive attribute (e.g., gender) and reduces their effects on decisions by disabling them …