Characterisation of the Idiotypic Immune Network Through Persistent Entropy. - Matteo Rucco; Filippo Castiglione; Emanuela Merelli; Marco Pettini (ECCS, 2014)

Neural Hypernetwork Approach for Pulmonary Embolism diagnosis. - Matteo Rucco; David M. S. Rodrigues; Emanuela Merelli; Jeffrey H. Johnson; Lorenzo Falsetti; Cinzia Nitti; Aldo Salvi (CoRR, 2014)

jHoles: A Tool for Understanding Biological Complex Networks via Clique Weight Rank Persistent Homology. - Jacopo Binchi; Emanuela Merelli; Matteo Rucco; Giovanni Petri; Francesco Vaccarino (CS2Bio, 2014)

Persistent Homology on RNA Secondary Structure Space. - Adane Letta Mamuye; Matteo Rucco (BICT, 2015)

Topological classification of small DC motors. - Matteo Rucco; Enrico Concettoni; Cristina Cristalli; Andrea Ferrante; Emanuela Merelli (RTSI, 2015)

Topological characterization of S[B] systems: From data to models of complexity. - Emanuela Merelli; Matteo Rucco; Peter M. A. Sloot; Luca Tesei (CoRR, 2015)

Topological Characterization of Complex Systems: Using Persistent Entropy. - Emanuela Merelli; Matteo Rucco; Peter M. A. Sloot; Luca Tesei (Entropy, 2015)

Survey of TOPDRIM Applications of Topological Data Analysis. - Emanuela Merelli; Matteo Rucco; Luca Tesei; Marco Piangerelli; Adane Letta Mamuye; Michela Quadrini (KDWeb, 2016)

Separating Topological Noise from Features Using Persistent Entropy. - Nieves Atienza; Rocío González-Díaz; Matteo Rucco (STAF Workshops, 2016)

Topological classifier for detecting the emergence of epileptic seizures. - Marco Piangerelli; Matteo Rucco; Emanuela Merelli (CoRR, 2016)

A topological approach for multivariate time series characterization: the epileptic brain. - Emanuela Merelli; Marco Piangerelli; Matteo Rucco; Daniele Toller (EAI Endorsed Trans. Self Adapt. Syst., 2016)

CAD Assembly Retrieval and Browsing. - Matteo Rucco; Katia Lupinetti; Franca Giannini; Marina Monti; Jean-Philippe Pernot (PLM, 2017)

Topological Data Analysis for Self-organization of Biological Tissues. - María José Jiménez 001; Matteo Rucco; Pablo Vicente-Munuera; Pedro Gómez-Gálvez; Luis M. Escudero (IWCIA, 2017)

A new topological entropy-based approach for measuring similarities among piecewise linear functions. - Matteo Rucco; Rocío González-Díaz; Maria Jose Jimenez 001; Nieves Atienza; Cristina Cristalli; Enrico Concettoni; Andrea Ferrante; Emanuela Merelli (Signal Process., 2017)

A methodology for part classification with supervised machine learning. - Matteo Rucco; Franca Giannini; Katia Lupinetti; Marina Monti (Artif. Intell. Eng. Des. Anal. Manuf., 2019)

Topological Run-time Monitoring for Complex Systems. - Matteo Rucco; Luca Tesei; Emanuela Merelli (CoRR, 2019)

Fast Glioblastoma Detection in Fluid-attenuated inversion recovery (FLAIR) images by Topological Explainable Automatic Machine Learning. - Matteo Rucco (CoRR, 2019)

Persistent entropy for separating topological features from noise in vietoris-rips complexes. - Nieves Atienza; Rocío González-Díaz; Matteo Rucco (J. Intell. Inf. Syst., 2019)

On the Intersection of Explainable and Reliable AI for Physical Fatigue Prediction. - Sara Narteni; Vanessa Orani; Enrico Cambiaso; Matteo Rucco; Maurizio Mongelli (IEEE Access, 2022)

Application of the Representative Measure Approach to Assess the Reliability of Decision Trees in Dealing with Unseen Vehicle Collision Data. - Javier Perera-Lago; Víctor Toscano-Durán; Eduardo Paluzo-Hidalgo; Sara Narteni; Matteo Rucco (xAI (4), 2024)

An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning. - Víctor Toscano-Durán; Javier Perera-Lago; Eduardo Paluzo-Hidalgo; Rocío González-Díaz; Miguel Angel Gutiérrez-Naranjo; Matteo Rucco (CoRR, 2024)