Pietro Barbiero

CoRR, 2023

Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts.

[BibT_eX]

[DOI]

Jonas Jürß

Nikola Simidjievski

CoRR, 2023

From Charts to Atlas: Merging Latent Spaces into One.

[BibT_eX]

[DOI]

CoRR, 2023

Relational Concept Based Models.

[BibT_eX]

[DOI]

Francesco Giannini

Michelangelo Diligenti

Giuseppe Marra

CoRR, 2023

SHARCS: Shared Concept Space for Explainable Multimodal Learning.

[BibT_eX]

[DOI]

Gabriele Dominici

Nikola Simidjievski

CoRR, 2023

Categorical Foundations of Explainable AI: A Unifying Formalism of Structures and Semantics.

[BibT_eX]

[DOI]

CoRR, 2023

GCI: A (G)raph (C)oncept (I)nterpretation Framework.

[BibT_eX]

[DOI]

Dmitry Kazhdan

Botty Dimanov

Mateja Jamnik

CoRR, 2023

Logic Explained Networks.

[BibT_eX]

[DOI]

Artif. Intell., 2023

Concept Distillation in Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Explainable Artificial Intelligence, 2023

Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach.

[BibT_eX]

[DOI]

Oguzhan Keskin

Alisia Maria Lupidi

Stefano Fioravanti

Pietro Lio

Francesco Giannini

Proceedings of the Topological, 2023

Interpretable Graph Networks Formulate Universal Algebra Conjectures.

[BibT_eX]

[DOI]

Pietro Lió

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Interpretable Neural-Symbolic Concept Reasoning.

[BibT_eX]

[DOI]

Francesco Giannini

Proceedings of the International Conference on Machine Learning, 2023

Global Explainability of GNNs via Logic Combination of Learned Concepts.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

Towards Robust Metrics for Concept Representation Evaluation.

[BibT_eX]

[DOI]

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

Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis.

[BibT_eX]

[DOI]

Han Xuanyuan

Dobrik Georgiev

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]

Michelangelo Diligenti

CoRR, 2022

Encoding Concepts in Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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

Dataset, September, 2020

pietrobarbiero/computational-patient: Absolutno.

[BibT_eX]

[DOI]

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]