Matteo Rucco

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 22

Top Topics

Complex Systems

Topological Features

Top Venues

EAI Endorsed Trans. Self Adapt. Syst.

Signal Process.

Publications

Víctor Toscano-Durán, Javier Perera-Lago, Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Matteo Rucco
An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning. CoRR (2024)
Javier Perera-Lago, Víctor Toscano-Durán, Eduardo Paluzo-Hidalgo, Sara Narteni, Matteo Rucco
Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision data. CoRR (2024)
Sara Narteni, Vanessa Orani, Enrico Cambiaso, Matteo Rucco, Maurizio Mongelli
On the Intersection of Explainable and Reliable AI for Physical Fatigue Prediction. IEEE Access 10 (2022)
Matteo Rucco, Luca Tesei, Emanuela Merelli
Topological Run-time Monitoring for Complex Systems. CoRR (2019)
Nieves Atienza, Rocío González-Díaz, Matteo Rucco
Persistent entropy for separating topological features from noise in vietoris-rips complexes. J. Intell. Inf. Syst. 52 (3) (2019)
Matteo Rucco
Fast Glioblastoma Detection in Fluid-attenuated inversion recovery (FLAIR) images by Topological Explainable Automatic Machine Learning. CoRR (2019)
Matteo Rucco, Franca Giannini, Katia Lupinetti, Marina Monti
A methodology for part classification with supervised machine learning. Artif. Intell. Eng. Des. Anal. Manuf. 33 (1) (2019)
Matteo Rucco, Rocío González-Díaz, Maria Jose Jimenez, Nieves Atienza, Cristina Cristalli, Enrico Concettoni, Andrea Ferrante, Emanuela Merelli
A new topological entropy-based approach for measuring similarities among piecewise linear functions. Signal Process. 134 (2017)
Nieves Atienza, Rocío González-Díaz, Matteo Rucco
Persistent Entropy for Separating Topological Features from Noise in Vietoris-Rips Complexes. CoRR (2017)
Matteo Rucco, Katia Lupinetti, Franca Giannini, Marina Monti, Jean-Philippe Pernot
CAD Assembly Retrieval and Browsing. PLM (2017)
María José Jiménez, Matteo Rucco, Pablo Vicente-Munuera, Pedro Gómez-Gálvez, Luis M. Escudero
Topological Data Analysis for Self-organization of Biological Tissues. IWCIA (2017)
Nieves Atienza, Rocío González-Díaz, Matteo Rucco
Separating Topological Noise from Features Using Persistent Entropy. STAF Workshops (2016)
Emanuela Merelli, Matteo Rucco, Luca Tesei, Marco Piangerelli, Adane Letta Mamuye, Michela Quadrini
Survey of TOPDRIM Applications of Topological Data Analysis. KDWeb (2016)
Nieves Atienza, Rocío González-Díaz, Matteo Rucco
Separating Topological Noise from Features using Persistent Entropy. CoRR (2016)
Emanuela Merelli, Marco Piangerelli, Matteo Rucco, Daniele Toller
A topological approach for multivariate time series characterization: the epileptic brain. EAI Endorsed Trans. Self Adapt. Syst. 2 (7) (2016)
Marco Piangerelli, Matteo Rucco, Emanuela Merelli
Topological classifier for detecting the emergence of epileptic seizures. CoRR (2016)
Matteo Rucco, Enrico Concettoni, Cristina Cristalli, Andrea Ferrante, Emanuela Merelli
Topological classification of small DC motors. RTSI (2015)
Matteo Rucco, Rocío González-Díaz, María José Jiménez, Nieves Atienza, Cristina Cristalli, Enrico Concettoni, Andrea Ferrante, Emanuela Merelli
A new topological entropy-based approach for measuring similarities among piecewise linear functions. CoRR (2015)
Emanuela Merelli, Matteo Rucco, Peter M. A. Sloot, Luca Tesei
Topological characterization of S[B] systems: From data to models of complexity. CoRR (2015)
Emanuela Merelli, Matteo Rucco, Peter M. A. Sloot, Luca Tesei
Topological Characterization of Complex Systems: Using Persistent Entropy. Entropy 17 (10) (2015)
Emanuela Merelli, Marco Piangerelli, Matteo Rucco, Daniele Toller
A topological approach for multivariate time series characterization: the epileptic brain. BICT (2015)
Adane Letta Mamuye, Matteo Rucco
Persistent Homology on RNA Secondary Structure Space. BICT (2015)
Matteo Rucco, Filippo Castiglione, Emanuela Merelli, Marco Pettini
Characterisation of the Idiotypic Immune Network Through Persistent Entropy. ECCS (2014)
Matteo Rucco, David M. S. Rodrigues, Emanuela Merelli, Jeffrey H. Johnson, Lorenzo Falsetti, Cinzia Nitti, Aldo Salvi
Neural Hypernetwork Approach for Pulmonary Embolism diagnosis. CoRR (2014)
Jacopo Binchi, Emanuela Merelli, Matteo Rucco, Giovanni Petri, Francesco Vaccarino
jHoles: A Tool for Understanding Biological Complex Networks via Clique Weight Rank Persistent Homology. Electron. Notes Theor. Comput. Sci. 306 (2014)