Publications

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2022

Massidda, Riccardo; Bacciu, Davide

Knowledge-Driven Interpretation of Convolutional Neural Networks Conference

Proceedings of the 2022 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022), 2022.

Abstract | BibTeX | Tags: explainable AI, graph data, neural network interpretation, representation learning

Ferrari, Elisa; Gargani, Luna; Barbieri, Greta; Ghiadoni, Lorenzo; Faita, Francesco; Bacciu, Davide

A causal learning framework for the analysis and interpretation of COVID-19 clinical data Journal Article

In: Plos One, 17 (5), 2022.

Abstract | Links | BibTeX | Tags: Bayesian networks, bioinformatics, biomedical data, explainable AI, unsupervised learning

Bacciu, Davide; Numeroso, Danilo

Explaining Deep Graph Networks via Input Perturbation Journal Article

In: IEEE Transactions on Neural Networks and Learning Systems, 2022.

Abstract | Links | BibTeX | Tags: adversarial examples, deep learning for graphs, explainable AI, generative model, structured data processing, trustworthy AI

2021

Resta, Michele; Monreale, Anna; Bacciu, Davide

Occlusion-based Explanations in Deep Recurrent Models for Biomedical Signals Journal Article

In: Entropy, 23 (8), pp. 1064, 2021, (Special issue on Representation Learning).

Abstract | Links | BibTeX | Tags: biomedical data, explainable AI, recurrent neural network, Sequential data

Numeroso, Danilo; Bacciu, Davide

MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks Conference

Proceedings of the International Joint Conference on Neural Networks (IJCNN 2021), IEEE 2021.

BibTeX | Tags: deep learning for graphs, explainable AI, graph data, structured data processing

Bacciu, Davide; Bertoncini, Gioele; Morelli, Davide

Topographic mapping for quality inspection and intelligent filtering of smart-bracelet data Journal Article

In: Neural Computing Applications, 2021.

Links | BibTeX | Tags: biomedical data, data visualization, explainable AI, internet of things, multivariate time-series, self-organizing map

2020

Bacciu, Davide; Numeroso, Danilo

Explaining Deep Graph Networks with Molecular Counterfactuals Workshop

34th Conference on Neural Information Processing Systems (NeurIPS 2020), Workshop on Machine Learning for Molecules - Accepted as Contributed Talk (Oral), 2020.

Abstract | Links | BibTeX | Tags: deep learning for graphs, explainable AI, graph data, structured data processing

Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI)

Ferrari, Elisa; Retico, Alessandra; Bacciu, Davide

Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI) Journal Article

In: Artificial Intelligence in Medicine, 103 , 2020.

Abstract | Links | BibTeX | Tags: artificial intelligence, bioinformatics, biomedical data, explainable AI, statistics

2019

Societal Issues in Machine Learning: When Learning from Data is Not Enough

Bacciu, Davide; Biggio, Battista; Crecchi, Francesco; Lisboa, Paulo J. G.; Martin, José D.; Oneto, Luca; Vellido, Alfredo

Societal Issues in Machine Learning: When Learning from Data is Not Enough Conference

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'19), i6doc.com, Louvain-la-Neuve, Belgium, 2019.

Links | BibTeX | Tags: adversarial attacks, deep learning, explainable AI