Pietro Barbiero

Dobrik Georgiev

Lucie Charlotte Magister

Pietro Liò

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

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

Algorithmic Concept-Based Explainable Reasoning.

[BibT_eX]

[DOI]

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

Entropy-Based Logic Explanations of Neural Networks.

[BibT_eX]

[DOI]

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

2021

LENs: a Python library for Logic Explained Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Predictable Features Elimination: An Unsupervised Approach to Feature Selection.

[BibT_eX]

[DOI]

Alberto Tonda

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Topological Gradient-based Competitive Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

pietrobarbiero/digital-patient: Absolutno.

[BibT_eX]

[DOI]

Ramón Viñas Torné

Pietro Liò

Dataset, September, 2020

pietrobarbiero/computational-patient: Absolutno.

[BibT_eX]

[DOI]

Pietro Liò

Dataset, September, 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

Neural Epistemology in Dynamical System Learning.

[BibT_eX]

[DOI]

Maurizio Cirrincione

Francesco Vaccarino

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

Graph representation forecasting of patient's medical conditions: towards a digital twin.

[BibT_eX]

[DOI]

Ramón Viñas Torné

Pietro Lió

CoRR, 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

Modeling Generalization in Machine Learning: A Methodological and Computational Study.

[BibT_eX]

[DOI]

CoRR, 2020

The Computational Patient has Diabetes and a COVID.

[BibT_eX]

[DOI]

Pietro Lió

CoRR, 2020

Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN: the ECG Case Study.

[BibT_eX]

[DOI]

Jacopo Ferretti

Vincenzo Randazzo

Eros Pasero

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 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

Evolutionary discovery of coresets for classification.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Beyond coreset discovery: evolutionary archetypes.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Fundamental Flowers: Evolutionary Discovery of Coresets for Classification.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation, 2019

A Novel Outlook on Feature Selection as a Multi-objective Problem.

[BibT_eX]

[DOI]

Proceedings of the Artificial Evolution, 2019

2017

Understanding Abstraction in Deep CNN: An Application on Facial Emotion Recognition.

[BibT_eX]

[DOI]

Francesca Nonis

Elena Carlotta Olivetti

Federica Marcolin

Enrico Vezzetti

Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Discovering Hierarchical Neural Archetype Sets.

[BibT_eX]

[DOI]