Pubblicazioni

2022 - Proceedings of the 32nd European Safety and Reliability Conference, ESREL 2022 - Understanding and Managing Risk and Reliability for a Sustainable Future

Stefana, Elena; Ghidoni, Daniele; Fanizza, Federico; Marciano, Filippo; Cocca, Paola; Paltrinieri, Nicola

An enhanced filtering-based information granulation procedure for graph embedding and classification

2021 - IEEE ACCESS

Martino, Alessio; Rizzi, Antonello

Towards a class-aware information granulation for graph embedding and classification

2021 - Studies in Computational Intelligence

Baldini, L.; Martino, A.; Rizzi, A.

Supervised learning with indefinite topological Kernels

2021 - STATISTICS

Padellini, T.; Brutti, P.

A multi-agent approach for graph classification

2021 - Proceedings of the 13th International Joint Conference on Computational Intelligence - Volume 1: NCTA

Baldini, Luca; Rizzi, Antonello

Relaxed dissimilarity-based symbolic histogram variants for granular graph embedding

2021 - Proceedings of the 13th International Joint Conference on Computational Intelligence - Volume 1: NCTA

Baldini, Luca; Martino, Alessio; Rizzi, Antonello

A class-specific metric learning approach for graph embedding by information granulation

2021 - APPLIED SOFT COMPUTING

Baldini, L.; Martino, A.; Rizzi, A.

Supervised and unsupervised learning to classify scoliosis and healthy subjects based on non-invasive rasterstereography analysis

2021 - PLOS ONE

Colombo, T.; Mangone, M.; Agostini, F.; Bernetti, A.; Paoloni, M.; Santilli, V.; Palagi, L.

3.24 - Non-linear Modeling: Neural Networks

2020 - Comprehensive Chemometrics: Chemical and Biochemical Data Analysis, Second Edition: Four Volume Set

Marini, F.

Global optimization issues in deep network regression: an overview

2019 - JOURNAL OF GLOBAL OPTIMIZATION

Palagi, Laura

An integrated approach based on EEG signals processing combined with supervised methods to classify Alzheimer's disease patients

2018 - 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Fiscon, G.; Weitschek, E.; De Cola, M. C.; Felici, G.; Bertolazzi, P.

Ricerc@Sapienza

Pubblicazioni

On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study

Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels

A supervised approach for the detection of AM-FM signalsâ interference regions in spectrogram images

Facing Graph Classification Problems byÂ aÂ Multi-agent Information Granulation Approach

Solitonic Neural Network Acting as an Episodic Memory

The Solitonic X-Junction as a Photonic Neuron

Supervised Classification for Link Prediction in Facebook Ego Networks With Anonymized Profile Information

On Information Granulation via Data Clustering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study

A Multi-objective Optimization Approach for the Synthesis of Granular Computing-Based Classification Systems in the Graph Domain

Towards Machine Learning Application for Safety in Confined Spaces: Creating an Incident Database