activity
20162026
most citedA General Modifier-based Framework for Inconsistency-Tolerant Query Answering

24 citations · 29 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

StretchBot: A Neuro-Symbolic Framework for Adaptive Guidance with Assistive Robots

Luca Vogelgesang, Ahmed Mehdi Soltani, Mohammadhossein Khojasteh +4

Assistive robots have growing potential to support physical wellbeing in home and healthcare settings, for example, by guiding users through stretching or rehabilitation routines.…

cs.CL2026

Linguistic Signatures for Enhanced Emotion Detection

Florian Lecourt, Madalina Croitoru, Konstantin Todorov

Emotion detection is a central problem in NLP, with recent progress driven by transformer-based models trained on established datasets. However, little is known about the linguisti…

cs.CL2025★ 5 cited

"Only ChatGPT gets me": An Empirical Analysis of GPT versus other Large Language Models for Emotion Detection in Text

Florian Lecourt, Madalina Croitoru, Konstantin Todorov

This work investigates the capabilities of large language models (LLMs) in detecting and understanding human emotions through text. Drawing upon emotion models from psychology, we…

cs.AI2022

Utility Functions for Human/Robot Interaction

Bruno Yun, Nir Oren, Madalina Croitoru

In this paper, we place ourselves in the context of human robot interaction and address the problem of cognitive robot modelling. More precisely we are investigating properties of…

cs.AI2020

Trust-based Multiagent Consensus or Weightings Aggregation

Bruno Yun, Madalina Croitoru

We introduce a framework for reaching a consensus amongst several agents communicating via a trust network on conflicting information about their environment. We formalise our appr…

cs.AI2019

Distance-Based Approaches to Repair Semantics in Ontology-based Data Access

César Prouté, Bruno Yun, Madalina Croitoru

In the presence of inconsistencies, repair techniques thrive to restore consistency by reasoning with several repairs. However, since the number of repairs can be large, standard i…

cs.AI2016★ 24 cited

A General Modifier-based Framework for Inconsistency-Tolerant Query Answering

Jean Francois Baget, Salem Benferhat, Zied Bouraoui +5

We propose a general framework for inconsistency-tolerant query answering within existential rule setting. This framework unifies the main semantics proposed by the state of art an…