Nicolò Oreste Pinciroli Vago

22 papers B 1C 1Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Augmenting representations with scientific papers.
CoRR
Nicolò Oreste Pinciroli Vago, Rocco Di Tella, Carolina Cuesta-Lázaro, Michael J. Smith, Cecilia Garraffo, Rafael Martínez-Galarza
2026 J jnl
DeepRed: an architecture for redshift estimation.
CoRR
Alessandro Meroni, Nicolò Oreste Pinciroli Vago, Piero Fraternali
2026 J jnl
DeepRed: an architecture for redshift estimation.
Neural Comput. Appl.
Alessandro Meroni, Nicolò Oreste Pinciroli Vago, Piero Fraternali
2026 J jnl
MDER-DR: Multi-Hop Question Answering with Entity-Centric Summaries.
CoRR
Riccardo Campi, Nicolò Oreste Pinciroli Vago, Mathyas Giudici, Marco Brambilla, Piero Fraternali
2025 B conf
A Graph-Based RAG for Energy Efficiency Question Answering.
ICWE
Riccardo Campi, Nicolò Oreste Pinciroli Vago, Mathyas Giudici, Pablo Barrachina Rodriguez-Guisado, Marco Brambilla, Piero Fraternali
2025 J jnl
A Graph-based RAG for Energy Efficiency Question Answering.
CoRR
Riccardo Campi, Nicolò Oreste Pinciroli Vago, Mathyas Giudici, Pablo Barrachina Rodriguez-Guisado, Marco Brambilla, Piero Fraternali
2025 — conf
Enhancing Human-AI Collaboration through a Conversational Agent for Energy Efficiency.
AAAI Spring Symposia
Riccardo Campi, Mathyas Giudici, Nicolò Oreste Pinciroli Vago, Marco Brambilla, Piero Fraternali
2025 J jnl
Extracting latent representations from X-ray spectra. Classification, regression, and accretion signatures of Chandra sources.
CoRR
Nicolò Oreste Pinciroli Vago, Juan Rafael Martínez-Galarza, Roberta Amato
2025 J jnl
Multimodal multi-output ordinal regression for discovering gravitationally-lensed transients.
Mach. Learn. Sci. Technol.
Nicolò Oreste Pinciroli Vago, Piero Fraternali
2025 J jnl
The hunt for new pulsating ultraluminous X-ray sources: a clustering approach.
CoRR
Nicolò Oreste Pinciroli Vago, Roberta Amato, Matteo Imbrogno, GianLuca Israel, Andrea Belfiore, Konstantinos Kovlakas, Piero Fraternali, Mario Pasquato
2025 J jnl
Time series analysis in compressor-based machines: a survey.
Neural Comput. Appl.
Francesca Forbicini, Nicolò Oreste Pinciroli Vago, Piero Fraternali
2024 J jnl
Predicting machine failures from multivariate time series: an industrial case study.
CoRR
Nicolò Oreste Pinciroli Vago, Francesca Forbicini, Piero Fraternali
2024 J jnl
Time Series Analysis in Compressor-Based Machines: A Survey.
CoRR
Francesca Forbicini, Nicolò Oreste Pinciroli Vago, Piero Fraternali
2023 J jnl
DeepGraviLens: a multi-modal architecture for classifying gravitational lensing data.
Neural Comput. Appl.
Nicolò Oreste Pinciroli Vago, Piero Fraternali
2022 J jnl
Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms.
Energy Inform.
Niccolò Zangrando, Piero Fraternali, Marco Petri, Nicolò Oreste Pinciroli Vago, Sergio Luis Herrera Gonzalez
2022 J jnl
DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing Data.
CoRR
Nicolò Oreste Pinciroli Vago, Piero Fraternali
2022 — conf
ODIN AD: A Framework Supporting the Life-Cycle of Time Series Anomaly Detection Applications.
AALTD@ECML/PKDD
Niccolò Zangrando, Piero Fraternali, Rocio Nahime Torres, Marco Petri, Nicolò Oreste Pinciroli Vago, Sergio Herrera
2022 J jnl
Proposals Generation for Weakly Supervised Object Detection in Artwork Images.
J. Imaging
Federico Milani, Nicolò Oreste Pinciroli Vago, Piero Fraternali
2021 J jnl
Comparing CAM Algorithms for the Identification of Salient Image Features in Iconography Artwork Analysis.
J. Imaging
Nicolò Oreste Pinciroli Vago, Federico Milani, Piero Fraternali, Ricardo da Silva Torres
2021 — conf
On the Visualization of Semantic-based Mappings.
Sem4Tra@SEMANTiCS
Nicolò Oreste Pinciroli Vago, Mario Sacaj, Mersedeh Sadeghi, Safia Kalwar, Andreas Vogelsang, Matteo G. Rossi
2021 J jnl
Using Convolutional Neural Networks for the Helicity Classification of Magnetic Fields.
CoRR
Nicolò Oreste Pinciroli Vago, Ibrahim A. Hameed, Michael Kachelrieß
2020 C conf
INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches.
ECMS
Nicolò Oreste Pinciroli Vago, Yuri Cossich Lavinas, Daniele C. Uchoa Maia Rodrigues, Felipe A. Moura, Sergio Augusto Cunha, Claus Aranha, Ricardo da Silva Torres