INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches. - Nicolò Oreste Pinciroli Vago; Yuri Cossich Lavinas; Daniele C. Uchoa Maia Rodrigues; Felipe A. Moura; Sergio Augusto Cunha; Claus Aranha; Ricardo da Silva Torres (ECMS, 2020)

On the Visualization of Semantic-based Mappings. - Nicolò Oreste Pinciroli Vago; Mario Sacaj; Mersedeh Sadeghi; Safia Kalwar; Andreas Vogelsang; Matteo G. Rossi (Sem4Tra@SEMANTiCS, 2021)

Using Convolutional Neural Networks for the Helicity Classification of Magnetic Fields. - Nicolò Oreste Pinciroli Vago; Ibrahim A. Hameed; Michael Kachelrieß (CoRR, 2021)

Comparing CAM Algorithms for the Identification of Salient Image Features in Iconography Artwork Analysis. - Nicolò Oreste Pinciroli Vago; Federico Milani; Piero Fraternali; Ricardo da Silva Torres (J. Imaging, 2021)

ODIN AD: A Framework Supporting the Life-Cycle of Time Series Anomaly Detection Applications. - Niccolò Zangrando; Piero Fraternali; Rocio Nahime Torres; Marco Petri; Nicolò Oreste Pinciroli Vago; Sergio Herrera (AALTD@ECML/PKDD, 2022)

Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms. - Niccolò Zangrando; Piero Fraternali; Marco Petri; Nicolò Oreste Pinciroli Vago; Sergio Luis Herrera Gonzalez (Energy Inform., 2022)

Proposals Generation for Weakly Supervised Object Detection in Artwork Images. - Federico Milani; Nicolò Oreste Pinciroli Vago; Piero Fraternali (J. Imaging, 2022)

DeepGraviLens. - Nicolò Oreste Pinciroli Vago; Piero Fraternali (Zenodo, 2023)

DeepGraviLens (internal). - Nicolò Oreste Pinciroli Vago; Piero Fraternali (Zenodo, 2023)

DeepGraviLens: a multi-modal architecture for classifying gravitational lensing data. - Nicolò Oreste Pinciroli Vago; Piero Fraternali (Neural Comput. Appl., 2023)

Predicting machine failures from multivariate time series: an industrial case study. - Nicolò Oreste Pinciroli Vago; Francesca Forbicini; Piero Fraternali (CoRR, 2024)

Enhancing Human-AI Collaboration through a Conversational Agent for Energy Efficiency. - Riccardo Campi; Mathyas Giudici; Nicolò Oreste Pinciroli Vago; Marco Brambilla 001; Piero Fraternali (AAAI Spring Symposia, 2025)

Time series analysis in compressor-based machines: a survey. - Francesca Forbicini; Nicolò Oreste Pinciroli Vago; Piero Fraternali (Neural Comput. Appl., 2025)

The hunt for new pulsating ultraluminous X-ray sources: a clustering approach. - Nicolò Oreste Pinciroli Vago; Roberta Amato; Matteo Imbrogno; GianLuca Israel; Andrea Belfiore; Konstantinos Kovlakas; Piero Fraternali; Mario Pasquato (CoRR, 2025)