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Italy, Norway

Activities

Employment (5)

Istituto Nazionale di Astrofisica: Roma, IT

2023 to present | Affiliate (Osservatorio Astronomico di Roma)
Employment
Source: Self-asserted source
Nicolò Oreste Pinciroli Vago

Politecnico di Milano: Milan, IT

2022 to present | PhD student (DEIB)
Employment
Source: Self-asserted source
Nicolò Oreste Pinciroli Vago

Politecnico di Milano: Milan, IT

2021-12 to 2022 | Research fellow (DEIB)
Employment
Source: Self-asserted source
Nicolò Oreste Pinciroli Vago

Norges teknisk-naturvitenskapelige universitet: Aalesund, NO

2020-01 to 2021-08 | Læringsassistent (learning assistant)
Employment
Source: Self-asserted source
Nicolò Oreste Pinciroli Vago

Norges teknisk-naturvitenskapelige universitet: Aalesund, NO

2019-10 to 2021-08 | Studentassistent (Student assistant)
Employment
Source: Self-asserted source
Nicolò Oreste Pinciroli Vago

Education and qualifications (3)

Politecnico di Milano: Milano, Lombardia, IT

2019 to 2021 | MSc in Computer Science and Engineering
Education
Source: Self-asserted source
Nicolò Oreste Pinciroli Vago

Norges teknisk-naturvitenskapelige universitet: Aalesund, NO

2019 to 2021 | MSc in Simulation and Visualization
Education
Source: Self-asserted source
Nicolò Oreste Pinciroli Vago

Politecnico di Milano: Como, Lombardia, IT

2016 to 2019 | Bachelor Degree in Computer Science and Engineering
Education
Source: Self-asserted source
Nicolò Oreste Pinciroli Vago

Works (15)

Time series analysis in compressor-based machines: a survey

Neural Computing and Applications
2025-03-05 | Journal article
Contributors: Francesca Forbicini; Nicolò Oreste Pinciroli Vago; Piero Fraternali
Source: check_circle
Crossref

Beyond Accretion Limits: The Rise of Pulsating Gems

Astronomische Nachrichten
2025-01 | Journal article
Contributors: Gian Luca Israel; Roberta Amato; Matteo Imbrogno; Nicoló Oreste Pinciroli Vago
Source: check_circle
Crossref

Predicting Machine Failures from Multivariate Time Series: An Industrial Case Study

Preprints.org
2024 | Journal article
Contributors: Pinciroli Vago, Nicolo Oreste; Forbicini, Francesca; Fraternali, Piero
Source: check_circle
Web of Science Researcher Profile Sync

Time Series Analysis in Compressor-Based Machines: A Survey

ArXiv
2024 | Journal article
Contributors: Forbicini, Francesca; Vago, Nicolo Oreste Pinciroli; Fraternali, Piero
Source: check_circle
Web of Science Researcher Profile Sync

The restless population of bright X-ray sources of NGC 3621

Astronomy & Astrophysics
2024-09 | Journal article
Contributors: A. Sacchi; M. Imbrogno; S. E. Motta; P. Esposito; G. L. Israel; N. O. Pinciroli Vago; A. De Luca; M. Marelli; F. Pintore; G. A. Rodríguez Castillo et al.
Source: check_circle
Crossref

Predicting Machine Failures from Multivariate Time Series: An Industrial Case Study

Machines
2024-05-22 | Journal article
Contributors: Nicolò Oreste Pinciroli Vago; Francesca Forbicini; Piero Fraternali
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

DeepGraviLens: a multi-modal architecture for classifying gravitational lensing data

Neural Computing and Applications
2023-09 | Journal article
Contributors: Nicolò Oreste Pinciroli Vago; Piero Fraternali
Source: check_circle
Crossref
grade
Preferred source (of 5)‎

ODIN AD: a framework supporting the life-cycle of time series anomaly detection applications

2022 | Conference paper
Contributors: Niccolò Zangrando; Piero Fraternali; Rocio Nahime Torres; Marco Petri; Nicolò Oreste Pinciroli Vago; Sergio Herrera
Source: Self-asserted source
Nicolò Oreste Pinciroli Vago
grade
Preferred source (of 3)‎

Using Convolutional Neural Networks for the Helicity Classification of Magnetic Fields

INTERNATIONAL COSMIC RAY CONFERENCE, ICRC2021
2022 | Journal article
Contributors: Vago, Nicolo Oreste Pinciroli; Hameed, Ibrahim A.; Kachelriess, M.
Source: check_circle
Web of Science Researcher Profile Sync

Proposals Generation for Weakly Supervised Object Detection in Artwork Images

Journal of Imaging
2022-08-06 | Journal article
Contributors: Federico Milani; Nicolò Oreste Pinciroli Vago; Piero Fraternali
Source: check_circle
Crossref
grade
Preferred source (of 3)‎

Identification of salient iconography features in artwork analysis

2021 | Other
Contributors: Vago, Nicolò Oreste Pinciroli
Source: Self-asserted source
Nicolò Oreste Pinciroli Vago via BASE - Bielefeld Academic Search Engine
grade
Preferred source (of 3)‎

On the Visualization of Semantic-based Mappings

2021 | Conference paper
Contributors: Pinciroli Vago, Nicolò Oreste; Sacaj, Mario; Sadeghi, Mersedeh; Kalwar, Safia; Vogelsang, Andreas; Rossi, Matteo G.
Source: Self-asserted source
Nicolò Oreste Pinciroli Vago via BASE - Bielefeld Academic Search Engine
grade
Preferred source (of 3)‎

Using Convolutional Neural Networks for the Helicity Classification of Magnetic Fields

arXiv e-prints
2021-06 | Working paper
Contributors: Pinciroli Vago, Nicolò Oreste; Hameed, Ibrahim A.; Kachelriess, Michael
Source: check_circle
NASA Astrophysics Data System
grade
Preferred source (of 9)‎

Comparing CAM Algorithms for the Identification of Salient Image Features in Iconography Artwork Analysis

Journal of Imaging
2021-06-29 | Journal article
Contributors: Nicolò Oreste Pinciroli Vago; Federico Milani; Piero Fraternali; Ricardo da Silva Torres
Source: check_circle
Crossref
grade
Preferred source (of 8)‎

INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches

ECMS 2020 Proceedings
2020-06-01 | Conference paper
EID:

2-s2.0-85094939681

Part of ISSN: 25222414
Source: Self-asserted source
Nicolò Oreste Pinciroli Vago
grade
Preferred source (of 2)‎

Peer review (5 reviews for 1 publication/grant)

Review activity for IEEE access : (5)