research
∙
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...
share
research
∙
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...
research
∙
03/30/2023
Solving morphological analogies: from retrieval to generation
Analogical inference is a remarkable capability of human reasoning, and ...
research
∙
09/16/2022
Survey on Fairness Notions and Related Tensions
Automated decision systems are increasingly used to take consequential d...
research
∙
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...
research
∙
05/09/2022
Galois theory for analogical classifiers
Analogical proportions are 4-ary relations that read "A is to B as C is ...
research
∙
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 ...
research
∙
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 ...
research
∙
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...
research
∙
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...
research
∙
04/20/2021
A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression
Cosmic shear estimation is an essential scientific goal for large galaxy...
research
∙
02/03/2021
A Bayesian Neural Network based on Dropout Regulation
Bayesian Neural Networks (BNN) have recently emerged in the Deep Learnin...
research
∙
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 ...
research
∙
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...
research
∙
06/17/2020
LimeOut: An Ensemble Approach To Improve Process Fairness
Artificial Intelligence and Machine Learning are becoming increasingly p...
research
∙
02/19/2020
Knowledge Reconciliation of n-ary Relations
In the expanding Semantic Web, an increasing number of sources of data a...
research
∙
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...
research
∙
09/26/2017