PINCIROLI VAGO, NICOLÒ ORESTE

PINCIROLI VAGO, NICOLÒ ORESTE  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Titolo Data di pubblicazione Autori File
Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms 1-gen-2022 Zangrando N.Fraternali P.Petri M.Pinciroli Vago N. O.Herrera Gonzalez S. L.
Comparing CAM Algorithms for the Identification of Salient Image Features in Iconography Artwork Analysis 1-gen-2021 Pinciroli Vago, Nicolò OresteMilani, FedericoFraternali, Piero +
DeepGraviLens: a multi-modal architecture for classifying gravitational lensing data 1-gen-2023 Pinciroli Vago, Nicolò OresteFraternali, Piero
INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches 1-gen-2020 Pinciroli Vago, Nicolo Oreste +
ODIN AD: a framework supporting the life-cycle of time series anomaly detection applications 1-gen-2022 Niccolò ZangrandoPiero FraternaliRocio Nahime TorresMarco PetriNicolò Oreste Pinciroli VagoSergio Luis Herrera Gonzalez
On the Visualization of Semantic-based Mappings 1-gen-2021 Nicolò Oreste Pinciroli VagoMario SacajMersedeh SadeghiSafia KalwarMatteo G. Rossi +
Proposals Generation for Weakly Supervised Object Detection in Artwork Images 1-gen-2022 Federico MilaniNicolò Oreste Pinciroli Pinciroli VagoPiero Fraternali
Using Convolutional Neural Networks for the Helicity Classification of Magnetic Fields 1-gen-2021 Pinciroli Vago, Nicolò Oreste +