activity
20062024
most citedCharacterizations of idempotent discrete uninorms

31 citations · 317 across the 62 of their papers we have counts for

collaborators

68 papers

cs.CL2024

The Balancing Act: Unmasking and Alleviating ASR Biases in Portuguese

Ajinkya Kulkarni, Anna Tokareva, Rameez Qureshi +1

In the field of spoken language understanding, systems like Whisper and Multilingual Massive Speech (MMS) have shown state-of-the-art performances. This study is dedicated to a com…

cs.CL2023★ 2 cited

Adapting the adapters for code-switching in multilingual ASR

Atharva Kulkarni, Ajinkya Kulkarni, Miguel Couceiro +1

Recently, large pre-trained multilingual speech models have shown potential in scaling Automatic Speech Recognition (ASR) to many low-resource languages. Some of these models emplo…

cs.AI2023★ 6 cited

Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning

Lucas Jarnac, Miguel Couceiro, Pierre Monnin

Knowledge Graph Construction (KGC) can be seen as an iterative process starting from a high quality nucleus that is refined by knowledge extraction approaches in a virtuous loop. S…

cs.LG2023

A statistical approach to detect sensitive features in a group fairness setting

Guilherme Dean Pelegrina, Miguel Couceiro, Leonardo Tomazeli Duarte

The use of machine learning models in decision support systems with high societal impact raised concerns about unfair (disparate) results for different groups of people. When evalu…

cs.CL2023

Solving morphological analogies: from retrieval to generation

Esteban Marquer, Miguel Couceiro

Analogical inference is a remarkable capability of human reasoning, and has been used to solve hard reasoning tasks. Analogy based reasoning (AR) has gained increasing interest fro…

cs.CV2022

Clarity: an improved gradient method for producing quality visual counterfactual explanations

Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez +2

Visual counterfactual explanations identify modifications to an image that would change the prediction of a classifier. We propose a set of techniques based on generative models (V…