Federica Biazzo; Matteo Farne, Predicting musical genres from Spotify data by statistical machine learning, in: Proceedings of the Statistics and Data Science Conference, 2023, pp. 236 - 241 (atti di: Statistics and Data Science Conference, Pavia, 27-28 aprile 2023) [Contribution to conference proceedings]
Federica Biazzo; Matteo Farne, Redesigning Spotify “Mood” playlists by statistical machine learning, in: Proceedings of the International Conference on New Music Concepts 2023, Treviso, Accademia Musicale Studio Musica, 2023, pp. 75 - 94 [Chapter or essay]
Matteo Farne; Angelos Vouldis, ROBOUT: a step-wise methodology for conditional outlier detection, in: Book of the Short Papers, 2023, pp. 450 - 455 (atti di: SIS 2023 - Statistical Learning, Sustanaibility and Impact Evolution, Ancona, 21-23 giugno 2023) [Contribution to conference proceedings]
Farnè, Marianna; Fortunato, Fernanda; Neri, Marcella; Farne, Matteo; Balla, Cristina; Albamonte, Emilio; Barp, Andrea; Armaroli, Annarita; Perugini, Enrica; Carinci, Valeria; Facchini, Marco; Chiarini, Luca; Sansone, Valeria A; Straudi, Sofia; Tugnoli, Valeria; Sette, Elisabetta; Sensi, Mariachiara; Bertini, Matteo; Evangelista, Teresinha; Ferlini, Alessandra; Gualandi, Francesca, TeleNEwCARe: An Italian case-control telegenetics study in patients with Hereditary NEuromuscular and CArdiac diseases, «EUROPEAN JOURNAL OF MEDICAL GENETICS», 2023, 66, Article number: 104749 , pp. 1 - 7 [Scientific article]Open Access
Matteo Farne, TRIMMED FACTORIAL K-MEANS, in: BOOK OF ABSTRACTS AND SHORT PAPERS, 2023, pp. 148 - 151 (atti di: CLADAG 2023 - 14th Scientific Meeting of the Classification and Data Analysis Group, Salerno, 11-13 settembre 2023) [Contribution to conference proceedings]
Farnè, Matteo; Montanari, Angela, A Bootstrap Method to Test Granger-Causality in the Frequency Domain, «COMPUTATIONAL ECONOMICS», 2022, 59, pp. 935 - 966 [Scientific article]Open Access
Enrico Bernardi; Matteo Farne, A Log-Det Heuristics for Covariance Matrix Estimation: The Analytic Setup, «STATS», 2022, 5, pp. 606 - 616 [Scientific article]Open Access
Barigozzi, Matteo; Farne, Matteo, An algebraic estimator for large spectral density matrices, «JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION», 2022, 119, pp. 498 - 510 [Scientific article]Open Access
Gioia Taraborrelli; Matteo Farne, Come sfruttare gli Educational Data ? Un inquadramento di usi e metodologie di analisi, «INDUZIONI», 2022, Anno 2021, pp. 27 - 40 [Scientific article]Open Access
Gabriele Russo, Alessia Tessari, GIovanni Ottoboni, Matteo Farne, Jacopo Zennaro, Andrea Ceciliani, Decision-making in young athletes: how do sports children adapt to a non-sports uncertain environment?, in: XIII National Congress SISMES, «SPORT SCIENCES FOR HEALTH (ONLINE)», 2022, pp. 87 - 87 (atti di: XIII National Congress SISMES, Milano, 4-6 November) [Poster]
Alessandro Delmonte; Matteo Farne, Evaluating customer satisfaction through Amazon reviews analysis: the Bluetooth earphones example, in: Proceedings of the 16th International Conference on Statistical Analysis of Textual Data, Edizioni Erranti di S. Pellegrino, 2022, pp. 298 - 305 (atti di: 16th International Conference on Statistical Analysis of Textual Data - JADT 2022, Naples, Italy, 6-8 luglio 2022) [Contribution to conference proceedings]
Russo Gabriele;
Giovanni Ottoboni;
Matteo Farne;
Andrea Ceciliani;
Alessia Tessari, HOW OPEN- AND CLOSED SKILLS ATHLETES ADAPT DECISIONS TO AN UNCERTAIN ENVIRONMENT WITH AND WITHOUT A STRESSFUL CONDITION., in: 27th Annual Congress of the EUROPEAN COLLEGE OF SPORT SCIENCE 30 Aug - 2 Sep 2022, Sevilla, España, EUROPEAN COLLEGE OF SPORT SCIENCE, 2022(atti di: 27th Annual Congress of the EUROPEAN COLLEGE OF SPORT SCIENCE, Siviglia, 30 Agosto - 2 Settembre) [Poster]
Matteo Farne; Angelos Vouldis, ROBOUT: a conditional outlier detection methodology for large-dimensional data, in: BOOK OF SHORT PAPERS, 2022, pp. 161 - 167 (atti di: IES 2022, Capua, Italy, 27-28 Gennaio 2022) [Contribution to conference proceedings]
Farne', Matteo; Vouldis, A. T., Banks’ business models in the euro area: a cluster analysis in high dimensions, «ANNALS OF OPERATIONS RESEARCH», 2021, 305, pp. 23 - 57 [Scientific article]Open Access
Matteo Farnè; Vouldis A., Banks’ risk-taking within a banking union, «ECONOMICS LETTERS», 2021, 204, Article number: 109909 , pp. 1 - 3 [Scientific article]Open Access
