Matteo Rucco

28 papers C 1Journal 18Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Persistent Entropy as a Detector of Phase Transitions.
CoRR
Matteo Rucco
2026 J jnl
PesTwin: a biology-informed Digital Twin for enabling precision farming.
CoRR
Andrea De Antoni, Matteo Rucco, Alberto Maria Cattaneo, Ege Gezer, Giuseppe Sulis, Paola Draicchio, Giovanni Iacca, Andrea Pugliese, Maria Vittoria Mancini
2024 J jnl
An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning.
CoRR
Víctor Toscano-Durán, Javier Perera-Lago, Eduardo Paluzo-Hidalgo, Rocío González-Díaz, Miguel Angel Gutiérrez-Naranjo, Matteo Rucco
2024 — conf
Application of the Representative Measure Approach to Assess the Reliability of Decision Trees in Dealing with Unseen Vehicle Collision Data.
xAI (4)
Javier Perera-Lago, Víctor Toscano-Durán, Eduardo Paluzo-Hidalgo, Sara Narteni, Matteo Rucco
2024 J jnl
Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision data.
CoRR
Javier Perera-Lago, Víctor Toscano-Durán, Eduardo Paluzo-Hidalgo, Sara Narteni, Matteo Rucco
2022 J jnl
On the Intersection of Explainable and Reliable AI for Physical Fatigue Prediction.
IEEE Access
Sara Narteni, Vanessa Orani, Enrico Cambiaso, Matteo Rucco, Maurizio Mongelli
2019 J jnl
A methodology for part classification with supervised machine learning.
Artif. Intell. Eng. Des. Anal. Manuf.
Matteo Rucco, Franca Giannini, Katia Lupinetti, Marina Monti
2019 J jnl
Fast Glioblastoma Detection in Fluid-attenuated inversion recovery (FLAIR) images by Topological Explainable Automatic Machine Learning.
CoRR
Matteo Rucco
2019 J jnl
Persistent entropy for separating topological features from noise in vietoris-rips complexes.
J. Intell. Inf. Syst.
Nieves Atienza, Rocío González-Díaz, Matteo Rucco
2019 J jnl
Topological Run-time Monitoring for Complex Systems.
CoRR
Matteo Rucco, Luca Tesei, Emanuela Merelli
2017 J jnl
A new topological entropy-based approach for measuring similarities among piecewise linear functions.
Signal Process.
Matteo Rucco, Rocío González-Díaz, Maria Jose Jimenez, Nieves Atienza, Cristina Cristalli, Enrico Concettoni, Andrea Ferrante, Emanuela Merelli
2017 — conf
CAD Assembly Retrieval and Browsing.
PLM
Matteo Rucco, Katia Lupinetti, Franca Giannini, Marina Monti, Jean-Philippe Pernot
2017 J jnl
Persistent Entropy for Separating Topological Features from Noise in Vietoris-Rips Complexes.
CoRR
Nieves Atienza, Rocío González-Díaz, Matteo Rucco
2017 C conf
Topological Data Analysis for Self-organization of Biological Tissues.
IWCIA
María José Jiménez, Matteo Rucco, Pablo Vicente-Munuera, Pedro Gómez-Gálvez, Luis M. Escudero
2016 J jnl
A topological approach for multivariate time series characterization: the epileptic brain.
EAI Endorsed Trans. Self Adapt. Syst.
Emanuela Merelli, Marco Piangerelli, Matteo Rucco, Daniele Toller
2016 — conf
Separating Topological Noise from Features Using Persistent Entropy.
STAF Workshops
Nieves Atienza, Rocío González-Díaz, Matteo Rucco
2016 J jnl
Separating Topological Noise from Features using Persistent Entropy.
CoRR
Nieves Atienza, Rocío González-Díaz, Matteo Rucco
2016 — conf
Survey of TOPDRIM Applications of Topological Data Analysis.
KDWeb
Emanuela Merelli, Matteo Rucco, Luca Tesei, Marco Piangerelli, Adane Letta Mamuye, Michela Quadrini
2016 J jnl
Topological classifier for detecting the emergence of epileptic seizures.
CoRR
Marco Piangerelli, Matteo Rucco, Emanuela Merelli
2015 J jnl
A new topological entropy-based approach for measuring similarities among piecewise linear functions.
CoRR
Matteo Rucco, Rocío González-Díaz, María José Jiménez, Nieves Atienza, Cristina Cristalli, Enrico Concettoni, Andrea Ferrante, Emanuela Merelli
2015 — conf
A topological approach for multivariate time series characterization: the epileptic brain.
BICT
Emanuela Merelli, Marco Piangerelli, Matteo Rucco, Daniele Toller
2015 — conf
Persistent Homology on RNA Secondary Structure Space.
BICT
Adane Letta Mamuye, Matteo Rucco
2015 J jnl
Topological Characterization of Complex Systems: Using Persistent Entropy.
Entropy
Emanuela Merelli, Matteo Rucco, Peter M. A. Sloot, Luca Tesei
2015 J jnl
Topological characterization of S[B] systems: From data to models of complexity.
CoRR
Emanuela Merelli, Matteo Rucco, Peter M. A. Sloot, Luca Tesei
2015 — conf
Topological classification of small DC motors.
RTSI
Matteo Rucco, Enrico Concettoni, Cristina Cristalli, Andrea Ferrante, Emanuela Merelli
2014 — conf
Characterisation of the Idiotypic Immune Network Through Persistent Entropy.
ECCS
Matteo Rucco, Filippo Castiglione, Emanuela Merelli, Marco Pettini
2014 J jnl
Neural Hypernetwork Approach for Pulmonary Embolism diagnosis.
CoRR
Matteo Rucco, David M. S. Rodrigues, Emanuela Merelli, Jeffrey H. Johnson, Lorenzo Falsetti, Cinzia Nitti, Aldo Salvi
2014 — conf
jHoles: A Tool for Understanding Biological Complex Networks via Clique Weight Rank Persistent Homology.
CS2Bio
Jacopo Binchi, Emanuela Merelli, Matteo Rucco, Giovanni Petri, Francesco Vaccarino