Gabriele Ciravegna

Marco Gori

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Gradient-Based Competitive Learning: Theory.

[BibT_eX]

[DOI]

Cogn. Comput., March, 2024

Non-invasive AI-powered Diagnostics: The case of Voice-Disorder Detection.

[BibT_eX]

[DOI]

Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference, 2024

2023

Learning Logic Explanations by Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Concept-based Explainable Artificial Intelligence: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Relational Concept Based Models.

[BibT_eX]

[DOI]

Francesco Giannini

Michelangelo Diligenti

Giuseppe Marra

CoRR, 2023

Logic Explained Networks.

[BibT_eX]

[DOI]

Artif. Intell., 2023

Concept Distillation in Graph Neural Networks.

[BibT_eX]

[DOI]

Lucie Charlotte Magister

Proceedings of the Explainable Artificial Intelligence, 2023

Knowledge-Driven Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Interpretable Neural-Symbolic Concept Reasoning.

[BibT_eX]

[DOI]

Francesco Giannini

Mateo Espinosa Zarlenga

Lucie Charlotte Magister

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Toward Novel Optimizers: A Moreau-Yosida View of Gradient-Based Learning.

[BibT_eX]

[DOI]

Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

2022

On the Two-fold Role of Logic Constraints in Deep Learning.

[BibT_eX]

[DOI]

PhD thesis, 2022

Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

A survey on data integration for multi-omics sample clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Concept Embedding Models.

[BibT_eX]

[DOI]

Mateo Espinosa Zarlenga

Michelangelo Diligenti

CoRR, 2022

Encoding Concepts in Graph Neural Networks.

[BibT_eX]

[DOI]

Lucie Charlotte Magister

CoRR, 2022

Encryption-agnostic classifiers of traffic originators and their application to anomaly detection.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2022

Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off.

[BibT_eX]

[DOI]

Mateo Espinosa Zarlenga

Michelangelo Diligenti

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Extending Logic Explained Networks to Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Minimizing Cross Intersections in Graph Drawing via Linear Splines.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2022

Entropy-Based Logic Explanations of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Knowledge-driven Active Learning.

[BibT_eX]

[DOI]

Frédéric Precioso

Marco Gori

CoRR, 2021

LENs: a Python library for Logic Explained Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Topological Gradient-based Competitive Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Assessing Discriminating Capability of Geometrical Descriptors for 3D Face Recognition by Using the GH-EXIN Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Understanding Cancer Phenomenon at Gene Expression Level by using a Shallow Neural Network Chain.

[BibT_eX]

[DOI]

Alberto Tonda

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

DNA Microarray Classification: Evolutionary Optimization of Neural Network Hyper-parameters.

[BibT_eX]

[DOI]

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

The GH-EXIN neural network for hierarchical clustering.

[BibT_eX]

[DOI]

Neural Networks, 2020

Gradient-based Competitive Learning: Theory.

[BibT_eX]

[DOI]

Vincenzo Randazzo

CoRR, 2020

Topological Gradient-based Competitive Learning.

[BibT_eX]

[DOI]

Vincenzo Randazzo

CoRR, 2020

Can Domain Knowledge Alleviate Adversarial Attacks in Multi-Label Classifiers?

[BibT_eX]

[DOI]

CoRR, 2020

Human-Driven FOL Explanations of Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Unsupervised Multi-omic Data Fusion: The Neural Graph Learning Network.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2020

A Constraint-Based Approach to Learning and Explanation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Supervised Gene Identification in Colorectal Cancer.

[BibT_eX]

[DOI]

Eros Pasero

Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019

Unsupervised Gene Identification in Colorectal Cancer.

[BibT_eX]

[DOI]

Eros Pasero

Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019

2018

Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network.

[BibT_eX]

[DOI]

Vincenzo Randazzo

Eros Pasero

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Discovering Hierarchical Neural Archetype Sets.

[BibT_eX]

[DOI]