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ORCIDNicolò Oreste Pinciroli Vago
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- affiliation: Norwegian University of Science and Technology (NTNU), Ålesund, Norway
- affiliation: Polytechnic University of Milan, DEIB, Italy
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2020 – today
- 2024
[i4]Francesca Forbicini, Nicolò Oreste Pinciroli Vago, Piero Fraternali:
Time Series Analysis in Compressor-Based Machines: A Survey. CoRR abs/2402.17802 (2024)- [i3]Nicolò Oreste Pinciroli Vago, Francesca Forbicini, Piero Fraternali:
Predicting machine failures from multivariate time series: an industrial case study. CoRR abs/2402.17804 (2024) - 2023
- [j4]Nicolò Oreste Pinciroli Vago
, Piero Fraternali:
DeepGraviLens: a multi-modal architecture for classifying gravitational lensing data. Neural Comput. Appl. 35(26): 19253-19277 (2023) - [d1]Nicolò Oreste Pinciroli Vago, Piero Fraternali:
DeepGraviLens. Zenodo, 2023
- 2022
- [j3]Niccolò Zangrando, Piero Fraternali, Marco Petri, Nicolò Oreste Pinciroli Vago, Sergio Luis Herrera Gonzalez:
Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms. Energy Inform. 5 (2022) - [j2]Federico Milani, Nicolò Oreste Pinciroli Vago, Piero Fraternali:
Proposals Generation for Weakly Supervised Object Detection in Artwork Images. J. Imaging 8(8): 215 (2022) - [c3]Niccolò Zangrando, Piero Fraternali, Rocio Nahime Torres, Marco Petri, Nicolò Oreste Pinciroli Vago, Sergio Herrera:
ODIN AD: A Framework Supporting the Life-Cycle of Time Series Anomaly Detection Applications. AALTD@ECML/PKDD 2022: 181-196 - [i2]Nicolò Oreste Pinciroli Vago, Piero Fraternali:
DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing Data. CoRR abs/2205.00701 (2022) - 2021
- [j1]Nicolò Oreste Pinciroli Vago, Federico Milani, Piero Fraternali, Ricardo da Silva Torres:
Comparing CAM Algorithms for the Identification of Salient Image Features in Iconography Artwork Analysis. J. Imaging 7(7): 106 (2021) - [c2]Nicolò Oreste Pinciroli Vago, Mario Sacaj, Mersedeh Sadeghi, Safia Kalwar, Andreas Vogelsang, Matteo G. Rossi:
On the Visualization of Semantic-based Mappings. Sem4Tra@SEMANTiCS 2021 - [i1]Nicolò Oreste Pinciroli Vago, Ibrahim A. Hameed, Michael Kachelrieß:
Using Convolutional Neural Networks for the Helicity Classification of Magnetic Fields. CoRR abs/2106.06718 (2021) - 2020
- [c1]Nicolò Oreste Pinciroli Vago, Yuri Cossich Lavinas, Daniele C. Uchoa Maia Rodrigues, Felipe A. Moura, Sergio Augusto Cunha, Claus Aranha, Ricardo da Silva Torres:
INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches. ECMS 2020: 228-234
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last updated on 2024-11-06 20:32 CET by the dblp team
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