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Journal Articles
- 2022
[j6]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: 76243-76260 (2022)- 2019
- [j5]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): 100-113 (2019) - [j4]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): 637-655 (2019) - 2017
- [j3]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: 130-138 (2017) - 2016
- [j2]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): e5 (2016) - 2015
- [j1]Emanuela Merelli, Matteo Rucco, Peter M. A. Sloot, Luca Tesei:
Topological Characterization of Complex Systems: Using Persistent Entropy. Entropy 17(10): 6872-6892 (2015)
Conference and Workshop Papers
- 2024
- [c10]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. xAI (4) 2024: 384-395 - 2017
- [c9]Matteo Rucco, Katia Lupinetti, Franca Giannini, Marina Monti, Jean-Philippe Pernot:
CAD Assembly Retrieval and Browsing. PLM 2017: 499-508 - [c8]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: 229-242 - 2016
- [c7]Emanuela Merelli, Matteo Rucco, Luca Tesei, Marco Piangerelli, Adane Letta Mamuye, Michela Quadrini:
Survey of TOPDRIM Applications of Topological Data Analysis. KDWeb 2016 - [c6]Nieves Atienza, Rocío González-Díaz, Matteo Rucco:
Separating Topological Noise from Features Using Persistent Entropy. STAF Workshops 2016: 3-12 - 2015
- [c5]Adane Letta Mamuye, Matteo Rucco:
Persistent Homology on RNA Secondary Structure Space. BICT 2015: 189-192 - [c4]Emanuela Merelli, Marco Piangerelli, Matteo Rucco, Daniele Toller:
A topological approach for multivariate time series characterization: the epileptic brain. BICT 2015: 201-204 - [c3]Matteo Rucco, Enrico Concettoni, Cristina Cristalli, Andrea Ferrante, Emanuela Merelli:
Topological classification of small DC motors. RTSI 2015: 192-197 - 2014
- [c2]Matteo Rucco, Filippo Castiglione, Emanuela Merelli, Marco Pettini:
Characterisation of the Idiotypic Immune Network Through Persistent Entropy. ECCS 2014: 117-128 - [c1]Jacopo Binchi, Emanuela Merelli, Matteo Rucco, Giovanni Petri, Francesco Vaccarino:
jHoles: A Tool for Understanding Biological Complex Networks via Clique Weight Rank Persistent Homology. CS2Bio 2014: 5-18
Informal and Other Publications
- 2024
- [i10]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 abs/2403.15150 (2024) - [i9]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 abs/2404.09541 (2024) - 2019
- [i8]Matteo Rucco, Luca Tesei, Emanuela Merelli:
Topological Run-time Monitoring for Complex Systems. CoRR abs/1908.03489 (2019) - [i7]Matteo Rucco:
Fast Glioblastoma Detection in Fluid-attenuated inversion recovery (FLAIR) images by Topological Explainable Automatic Machine Learning. CoRR abs/1912.08167 (2019) - 2017
- [i6]Nieves Atienza, Rocío González-Díaz, Matteo Rucco:
Persistent Entropy for Separating Topological Features from Noise in Vietoris-Rips Complexes. CoRR abs/1701.07857 (2017) - 2016
- [i5]Nieves Atienza, Rocío González-Díaz, Matteo Rucco:
Separating Topological Noise from Features using Persistent Entropy. CoRR abs/1605.02885 (2016) - [i4]Marco Piangerelli, Matteo Rucco, Emanuela Merelli:
Topological classifier for detecting the emergence of epileptic seizures. CoRR abs/1611.04872 (2016) - 2015
- [i3]Emanuela Merelli, Matteo Rucco, Peter M. A. Sloot, Luca Tesei:
Topological characterization of S[B] systems: From data to models of complexity. CoRR abs/1505.05768 (2015) - [i2]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 abs/1512.07613 (2015) - 2014
- [i1]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 abs/1409.5743 (2014)
Coauthor Index
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