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06/09/2023
Hidden Classification Layers: a study on Data Hidden Representations with a Higher Degree of Linear Separability between the Classes
In the context of classification problems, Deep Learning (DL) approaches...
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06/09/2023
Strategies to exploit XAI to improve classification systems
Explainable Artificial Intelligence (XAI) aims to provide insights into ...
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12/16/2022
Machine Learning Strategies to Improve Generalization in EEG-based Emotion Assessment: a Systematic Review
A systematic review on machine-learning strategies for improving general...
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10/12/2022
Toward the application of XAI methods in EEG-based systems
An interesting case of the well-known Dataset Shift Problem is the class...
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10/11/2022
Unsupervised detection of structural damage using Variational Autoencoder and a One-Class Support Vector Machine
In recent years, Artificial Neural Networks (ANNs) have been introduced ...
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10/03/2022
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data
In the Machine Learning (ML) literature, a well-known problem is the Dat...
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06/09/2021
A general approach for Explanations in terms of Middle Level Features
Nowadays, it is growing interest to make Machine Learning (ML) systems m...
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05/21/2021
Dynamic Filters in Graph Convolutional Neural Networks
Over the last few years, we have seen increasing data generated from non...
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10/16/2020
A general approach to compute the relevance of middle-level input features
This work proposes a novel general framework, in the context of eXplaina...
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05/02/2020
A survey on modern trainable activation functions
In the literature, there is a strong interest to identify and define act...
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02/08/2019
