activity
20202026
collaborators

6 papers

cs.LG2026

ProToMEx: Rapid, Interpretable Explanations via Structured Representations

Athina Georgara, Adarsh Valoor, Sarvapali D. Ramchurn

Existing post-hoc explainers for machine learning classifiers primarily focus on feature attribution, assigning importance scores to individual features. While valuable, this appro…

cs.MA2026

Decision-Level Fusion for Robust Wearable Affect Recognition

Lokesh Singh, Athina Georgara, Jayati Deshmukh +2

Automatic recognition of affective state from wearable physiology has clear societal impact for public health, preventive care, and stress-aware interventions, but real deployments…

cs.RO2025

Embodied AI in Social Spaces: Responsible and Adaptive Robots in Complex Setting -- UKAIRS 2025 (Copy)

Aleksandra Landowska, Aislinn D Gomez Bergin, Ayodeji O. Abioye +12

This paper introduces and overviews a multidisciplinary project aimed at developing responsible and adaptive multi-human multi-robot (MHMR) systems for complex, dynamic settings. T…

cs.AI2025

Exploiting Constraint Reasoning to Build Graphical Explanations for Mixed-Integer Linear Programming

Roger Xavier Lera-Leri, Filippo Bistaffa, Athina Georgara +1

Following the recent push for trustworthy AI, there has been an increasing interest in developing contrastive explanation techniques for optimisation, especially concerning the sol…

cs.RO2025

Safe and Socially Aware Multi-Robot Coordination in Multi-Human Social Care Settings

Ayodeji O. Abioye, Jayati Deshmukh, Athina Georgara +6

This research investigates strategies for multi-robot coordination in multi-human environments. It proposes a multi-objective learning-based coordination approach to addressing the…

cs.AI2020

TAIP: an anytime algorithm for allocating student teams to internship programs

Athina Georgara, Carles Sierra, Juan A. Rodríguez-Aguilar

In scenarios that require teamwork, we usually have at hand a variety of specific tasks, for which we need to form a team in order to carry out each one. Here we target the problem…