Miguel Couceiro | DeepAI

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∙ 06/28/2023

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

Knowledge Graph Construction (KGC) can be seen as an iterative process s...

0 Lucas Jarnac, et al. ∙

∙ 05/11/2023

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

The use of machine learning models in decision support systems with high...

0 Guilherme Dean Pelegrina, et al. ∙

∙ 03/30/2023

Solving morphological analogies: from retrieval to generation

Analogical inference is a remarkable capability of human reasoning, and ...

0 Esteban Marquer, et al. ∙

∙ 09/16/2022

Survey on Fairness Notions and Related Tensions

Automated decision systems are increasingly used to take consequential d...

0 Guilherme Alves, et al. ∙

∙ 07/14/2022

Component twin-width as a parameter for BINARY-CSP and its semiring generalisations

We investigate the fine-grained and the parameterized complexity of seve...

0 Ambroise Baril, et al. ∙

∙ 05/09/2022

Galois theory for analogical classifiers

Analogical proportions are 4-ary relations that read "A is to B as C is ...

0 Miguel Couceiro, et al. ∙

∙ 11/09/2021

Tackling Morphological Analogies Using Deep Learning – Extended Version

Analogical proportions are statements of the form "A is to B as C is to ...

0 Safa Alsaidi, et al. ∙

∙ 08/09/2021

A Neural Approach for Detecting Morphological Analogies

Analogical proportions are statements of the form "A is to B as C is to ...

0 Safa Alsaidi, et al. ∙

∙ 08/09/2021

On the Transferability of Neural Models of Morphological Analogies

Analogical proportions are statements expressed in the form "A is to B a...

8 Safa Alsaidi, et al. ∙

∙ 08/05/2021

Reducing Unintended Bias of ML Models on Tabular and Textual Data

Unintended biases in machine learning (ML) models are among the major co...

6 Guilherme Alves, et al. ∙

∙ 04/20/2021

A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression

Cosmic shear estimation is an essential scientific goal for large galaxy...

36 Claire Theobald, et al. ∙

∙ 02/03/2021

A Bayesian Neural Network based on Dropout Regulation

Bayesian Neural Networks (BNN) have recently emerged in the Deep Learnin...

0 Claire Theobald, et al. ∙

∙ 11/01/2020

Making ML models fairer through explanations: the case of LimeOut

Algorithmic decisions are now being used on a daily basis, and based on ...

33 Guilherme Alves, et al. ∙

∙ 07/17/2020

Tackling scalability issues in mining path patterns from knowledge graphs: a preliminary study

Features mined from knowledge graphs are widely used within multiple kno...

14 Pierre Monnin, et al. ∙

∙ 06/17/2020

LimeOut: An Ensemble Approach To Improve Process Fairness

Artificial Intelligence and Machine Learning are becoming increasingly p...

0 Vaishnavi Bhargava, et al. ∙

∙ 02/19/2020

Knowledge Reconciliation of n-ary Relations

In the expanding Semantic Web, an increasing number of sources of data a...

0 Pierre Monnin, et al. ∙

∙ 04/11/2019

All quasitrivial n-ary semigroups are reducible to semigroups

We show that every quasitrivial n-ary semigroup is reducible to a binary...

0 Miguel Couceiro, et al. ∙

∙ 09/26/2017

Quasitrivial semigroups: characterizations and enumerations

We investigate the class of quasitrivial semigroups and provide various ...

0 Miguel Couceiro, et al. ∙

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