PINCIROLI VAGO, NICOLÒ ORESTE
PINCIROLI VAGO, NICOLÒ ORESTE
DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA
Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms
2022-01-01 Zangrando, N.; Fraternali, P.; Petri, M.; Pinciroli Vago, N. O.; Herrera Gonzalez, S. L.
Beyond Accretion Limits: The Rise of Pulsating Gems
2024-01-01 Israel, Gian Luca; Amato, Roberta; Imbrogno, Matteo; Pinciroli Vago, Nicolò Oreste
Comparing CAM Algorithms for the Identification of Salient Image Features in Iconography Artwork Analysis
2021-01-01 Pinciroli Vago, Nicolò Oreste; Milani, Federico; Fraternali, Piero; da Silva Torres, Ricardo
DeepGraviLens: a multi-modal architecture for classifying gravitational lensing data
2023-01-01 Pinciroli Vago, Nicolò Oreste; Fraternali, Piero
INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches
2020-01-01 Pinciroli Vago, Nicolo Oreste; Lavinas, Yuri; Rodrigues, Daniele; Moura, Felipe; Cunha, Sergio; Aranha, Claus; da Silva Torres, Ricardo
ODIN AD: a framework supporting the life-cycle of time series anomaly detection applications
2022-01-01 Zangrando, Niccolò; Fraternali, Piero; Torres, ROCIO NAHIME; Petri, Marco; PINCIROLI VAGO, NICOLÒ ORESTE; HERRERA GONZALEZ, SERGIO LUIS
On the Visualization of Semantic-based Mappings
2021-01-01 PINCIROLI VAGO, NICOLÒ ORESTE; Sacaj, Mario; Sadeghi, Mersedeh; Kalwar, Safia; Vogelsang, Andreas; Rossi, Matteo G.
Predicting Machine Failures from Multivariate Time Series: An Industrial Case Study
2024-01-01 Pinciroli Vago, Nicolò Oreste; Forbicini, Francesca; Fraternali, Piero
Proposals Generation for Weakly Supervised Object Detection in Artwork Images
2022-01-01 Milani, Federico; PINCIROLI VAGO, NICOLÒ ORESTE; Fraternali, Piero
The restless population of bright X-ray sources of NGC 3621
2024-01-01 Sacchi, A.; Imbrogno, M.; Motta, S. E.; Esposito, P.; Israel, G. L.; Pinciroli Vago, N. O.; De Luca, A.; Marelli, M.; Pintore, F.; Rodríguez Castillo, G. A.; Salvaterra, R.; Tiengo, A.
Using Convolutional Neural Networks for the Helicity Classification of Magnetic Fields
2021-01-01 Pinciroli Vago, Nicolò Oreste; A. Hameed, Ibrahim; Kachelriess, Michael