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Nicolò Oreste Pinciroli Vago
Nicolò Oreste Pinciroli Vago
Politecnico di Milano; INAF - Osservatorio Astronomico di Roma
E-mail confirmado em mail.polimi.it - Página inicial
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Ano
Comparing CAM algorithms for the identification of salient image features in iconography artwork analysis
NO Pinciroli Vago, F Milani, P Fraternali, R da Silva Torres
Journal of Imaging 7 (7), 106, 2021
182021
On the visualization of semantic-based mappings
NO Pinciroli Vago, M Sacaj, M Sadeghi, S Kalwar, MG Rossi
Proceedings of the 3rd International Workshop Semantics And The Web For …, 2021
6*2021
Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms
N Zangrando, P Fraternali, M Petri, NO Pinciroli Vago, ...
Energy Informatics 5 (Suppl 4), 62, 2022
42022
Proposals generation for weakly supervised object detection in artwork images
F Milani, NO Pinciroli Vago, P Fraternali
Journal of Imaging 8 (8), 215, 2022
42022
DeepGraviLens: a multi-modal architecture for classifying gravitational lensing data
NO Pinciroli Vago, P Fraternali
Neural Computing and Applications 35 (26), 19253-19277, 2023
22023
INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches.
NO Pinciroli Vago, YC Lavinas, DCUM Rodrigues, FA Moura, SA Cunha, ...
ECMS, 228-234, 2020
22020
Advanced Analytics and Learning on Temporal Data: 7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19–23, 2022, Revised Selected Papers
T Guyet, G Ifrim, S Malinowski, A Bagnall, P Shafer, V Lemaire
Springer Nature, 2023
12023
ODIN AD: a framework supporting the life-cycle of time series anomaly detection applications
N Zangrando, P Fraternali, RN Torres, M Petri, NO Pinciroli Vago, ...
LECTURE NOTES IN COMPUTER SCIENCE 13812, 1-16, 2022
12022
Using Convolutional Neural Networks for the Helicity Classification of Magnetic Fields
NO Pinciroli Vago, IA Hameed, M Kachelriess
arXiv preprint arXiv:2106.06718, 2021
12021
Time Series Analysis in Compressor-Based Machines: A Survey
F Forbicini, NO Pinciroli Vago, P Fraternali
arXiv preprint arXiv:2402.17802, 2024
2024
Predicting machine failures from multivariate time series: an industrial case study
NO Pinciroli Vago, F Forbicini, P Fraternali
arXiv preprint arXiv:2402.17804, 2024
2024
Identification of salient iconography features in artwork analysis (extended version)
NO Pinciroli Vago
Politecnico di Milano, 2021
2021
Identification of salient iconography features in artwork analysis
NO Pinciroli Vago
Norwegian University of Science and Technology, 2021
2021
Technical Design Report
RN Raghunathan, V Bjørlo-Larsen, ME Malisz, SRT Sunilkumar, ...
2020
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