Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision data

Authors: Perera-Lago, Javier, Toscano-Durán, Víctor, Paluzo-Hidalgo, Eduardo, Narteni, Sara, Rucco, Matteo

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2404.09541

An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning

Authors: Toscano-Durán, Víctor, Perera-Lago, Javier, Paluzo-Hidalgo, Eduardo, Gonzalez-Diaz, Rocío, Gutierrez-Naranjo, Miguel Ángel, Rucco, Matteo

Subject Terms: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2403.15150

Towards personalized diagnosis of Glioblastoma in Fluid-attenuated inversion recovery (FLAIR) by topological interpretable machine learning

Authors: Rucco, Matteo, Falsetti, Lorenzo, Viticchi, Giovanna

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Quantitative Biology - Quantitative Methods

Access URL: http://arxiv.org/abs/1912.08167

Topological Run-time Monitoring for Complex Systems

Authors: Rucco, Matteo, Tesei, Luca, Merelli, Emanuela

Subject Terms: Computer Science - Logic in Computer Science, Computer Science - Formal Languages and Automata Theory, Quantitative Biology - Tissues and Organs

Access URL: http://arxiv.org/abs/1908.03489

Topological classification of small DC motors

Authors: Rucco, Matteo, Concettoni, Enrico, Cristalli, Cristina, Ferrante, Andrea, Merelli, Emanuela

Source: 2015 IEEE 1st International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI) Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), 2015 IEEE 1st International Forum on. :192-197 Sep, 2015

Relation: 2015 IEEE 1st International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI)

Persistent Entropy for Separating Topological Features from Noise in Vietoris-Rips Complexes

Authors: Atienza, Nieves, Gonzalez-Diaz, Rocio, Rucco, Matteo

Subject Terms: Computer Science - Other Computer Science

Access URL: http://arxiv.org/abs/1701.07857

Topological classifier for detecting the emergence of epileptic seizures

Authors: Piangerelli, Marco, Rucco, Matteo, Merelli, Emanuela

Source: BMC Res Notes 11, 392, 2018

Subject Terms: Quantitative Biology - Neurons and Cognition, Computer Science - Information Theory, I.5.2

Access URL: http://arxiv.org/abs/1611.04872

Separating Topological Noise from Features using Persistent Entropy

Authors: Atienza, Nieves, Gonzalez-Diaz, Rocio, Rucco, Matteo

Subject Terms: Computer Science - Information Theory

Access URL: http://arxiv.org/abs/1605.02885

A new topological entropy-based approach for measuring similarities among piecewise linear functions

Authors: Rucco, Matteo, Gonzalez-Diaz, Rocio, Jimenez, Maria-Jose, Atienza, Nieves, Cristalli, Cristina, Concettoni, Enrico, Ferrante, Andrea, Merelli, Emanuela

Subject Terms: Computer Science - Discrete Mathematics, 55U10, 05E45, 62H30, 28D20

Access URL: http://arxiv.org/abs/1512.07613

Online Prediction for Safe Human-Robot Collaboration: A Model of the Human Arm

Authors: Binchi, Jacopo, Mangeruca, Leonardo, Rucco, Matteo, Ferrante, Orlando, Minissale, Alfio, Abbà, Fabio Francesco

Source: In Procedia CIRP 2021 97:533-538

Topological characterization of S[B] systems: From data to models of complexity

Authors: Merelli, Emanuela, Rucco, Matteo, Sloot, Peter, Tesei, Luca

Subject Terms: Computer Science - Emerging Technologies

Access URL: http://arxiv.org/abs/1505.05768

Neural Hypernetwork Approach for Pulmonary Embolism diagnosis

Authors: Rucco, Matteo, Rodrigues, David M. S., Merelli, Emanuela, Johnson, Jeffrey H., Falsetti, Lorenzo, Nitti, Cinzia, Salvi, Aldo

Subject Terms: Physics - Medical Physics, Computer Science - Learning, Physics - Data Analysis, Statistics and Probability, Quantitative Biology - Quantitative Methods, Statistics - Machine Learning, J.2, J.3, I.5, C.1.3, G.2.1

Access URL: http://arxiv.org/abs/1409.5743

Using Topological Data Analysis for diagnosis pulmonary embolism

Authors: Rucco, Matteo, Falsetti, Lorenzo, Herman, Damir, Petrossian, Tanya, Merelli, Emanuela, Nitti, Cinzia, Salvi, Aldo

Subject Terms: Physics - Medical Physics, Quantitative Biology - Quantitative Methods, J.2, J.3

Access URL: http://arxiv.org/abs/1409.5020

Laser ablation for spongiform thyroid nodules: identifying baseline nodule volume and energy to be delivered for successful treatment.

Authors: Negro, Roberto, Rucco, Matteo, Greco, Gabriele

Source: Endocrine (1355008X); Oct2024, Vol. 86 Issue 1, p310-314, 5p

A new topological entropy-based approach for measuring similarities among piecewise linear functions

Authors: Rucco, Matteo, Gonzalez-Diaz, Rocio, Jimenez, Maria-Jose, Atienza, Nieves, Cristalli, Cristina, Concettoni, Enrico, Ferrante, Andrea, Merelli, Emanuela

Source: In Signal Processing May 2017 134:130-138

Risk prediction of clinical adverse outcomes with machine learning in a cohort of critically ill patients with atrial fibrillation.

Authors: Falsetti, Lorenzo¹ (AUTHOR) drfalsetti@yahoo.it, Rucco, Matteo² (AUTHOR), Proietti, Marco^3,4,5 (AUTHOR), Viticchi, Giovanna⁶ (AUTHOR), Zaccone, Vincenzo¹ (AUTHOR), Scarponi, Mattia⁷ (AUTHOR), Giovenali, Laura⁷ (AUTHOR), Moroncini, Gianluca⁸ (AUTHOR), Nitti, Cinzia¹ (AUTHOR), Salvi, Aldo¹ (AUTHOR)

Source: Scientific Reports. 9/23/2021, Vol. 11 Issue 1, p1-11. 11p.

Subject Terms: *TREATMENT effectiveness, *MACHINE learning, *CRITICALLY ill, *PHYSICIANS, *HEMORRHAGE, *ATRIAL flutter, *ATRIAL fibrillation

jHoles: A Tool for Understanding Biological Complex Networks via Clique Weight Rank Persistent Homology

Authors: Binchi, Jacopo, Merelli, Emanuela, Rucco, Matteo, Petri, Giovanni, Vaccarino, Francesco

Source: In Electronic Notes in Theoretical Computer Science 24 July 2014 306:5-18

Persistent entropy for separating topological features from noise in vietoris-rips complexes.

Authors: Atienza, Nieves¹, natienza@us.es, Gonzalez-Diaz, Rocio¹, rogodi@us.es, Rucco, Matteo², matteo.rucco@unicam.it

Source: Journal of Intelligent Information Systems; Jun2019, Vol. 52 Issue 3, p637-655, 19p

Neural hypernetwork approach for pulmonary embolism diagnosis.

Authors: Rucco, Matteo¹ matteo.rucco@unicam.it, Sousa-Rodrigues, David², Merelli, Emanuela¹, Johnson, Jeffrey H.², Falsetti, Lorenzo³, Nitti, Cinzia³, Salvi, Aldo³

Source: BMC Research Notes. 10/29/2015, Vol. 8, p1-11. 11p. 4 Charts, 6 Graphs.

Subject Terms: *NEURAL circuitry, *PULMONARY embolism, *ARTIFICIAL neural networks, *MACHINE learning, *DIAGNOSIS, *THERAPEUTICS

Topological Characterization of Complex Systems: Using Persistent Entropy.

Authors: Merelli, Emanuela¹ emanuela.merelli@unicam.it, Rucco, Matteo¹ ruccomatteo@gmail.com, Sloot, Peter^2,3,4 p.m.a.sloot@uva.nl, Tesei, Luca¹ luca.tesei@unicam.it

Source: Entropy. Oct2015, Vol. 17 Issue 10, p6872-6892. 21p.

Subject Terms: *TOPOLOGY, *DATA analysis, *ENTROPY, *IMMUNE system, *IDIOTYPIC networks