Farne, Matteo; Benelli, Giulia, Detecting Fake News from Text: A Stagewise Methodology, in: Methodological and Applied Statistics and Demography III, Cham, Springer, 2025, pp. 640 - 645 (ITALIAN STATISTICAL SOCIETY SERIES ON ADVANCES IN STATISTICS) [capitolo di libro]
Farne', M.; Grandi, N.; Pascoli, M., L’italiano scritto all’università: prime elaborazioni statistiche di dati linguistici e sociobiografici, in: L'italiano scritto degli studenti universitari. Quadro sociolinguistico, tendenze tipologiche, implicazioni didattiche, Milano, Franco Angeli, 2025, pp. 91 - 117 (MATERIALI LINGUISTICI) [capitolo di libro]Open Access
Maschio, Francesco; Sargenti, Simonetta; Farne, Matteo; Cecchetti, Gabriele, Analysing electroacoustic music by integrating listening and signal processing, in: María Elena Cuenca Rodríguez, Miguel Ángel Ríos Muñoz, Francisco Ruiz Montes, John Griffiths, PROPUESTAS PEDAGÓGICAS E INTERDISCIPLINARES sobre el análisis y la teoría musical, Siviglia, Wanceulen, 2024, pp. 172 - 182 [capitolo di libro]
Matteo Farne; Meng Yang, Comparing How Python and R Estimate Granger-Causality in the Frequency Domain, in: Computing, Internet of Things and Data Analytics. ICCIDA 2023. Studies in Computational Intelligence, Cham, Springer, 2024, pp. 213 - 222 [capitolo di libro]
Farne, Matteo; Vouldis, Angelos, Do retail-oriented banks have less non-performing loans?, «JOURNAL OF ECONOMIC ASYMMETRIES», 2024, 29, pp. e00358 - N/A [articolo]
Farne, Matteo; Benelli, Giulia, Fake news language analysis and detection via a text mining approach, in: JADT 2024 Mots comptés, textes déchiffrés Tome 1, Lovanio, Presses universitaires de Louvain, 2024, 2024, pp. 349 - 358 [capitolo di libro]
Farne, Matteo; Montanari, Angela, Large factor model estimation by nuclear norm plus ℓ1 norm penalization, «JOURNAL OF MULTIVARIATE ANALYSIS», 2024, 199, Article number: 105244, pp. 1 - 22 [articolo]Open Access
Farne, Matteo, Liszt’s Étude S.136 no.1: audio data analysis of two different piano recordings, «ADVANCES IN DATA ANALYSIS AND CLASSIFICATION», 2024, 18, pp. 797 - 822 [articolo]Open Access
Delmonte, Alessandro; Farne, Matteo, Predicting Customer Satisfaction by Amazon Reviews: The Bluetooth Earphones Example, in: New Frontiers in Textual Data Analysis, Cham, Springer, 2024, pp. 53 - 62 [capitolo di libro]
Farne Matteo; Vouldis A., ROBOUT: a conditional outlier detection methodology for high-dimensional data, «STATISTICAL PAPERS», 2024, 65, pp. 2489 - 2525 [articolo]Open Access
Farne, Matteo; Vouldis, Angelos, The Importance of Robust Second-Stage Regressions for Financial Data, in: High-quality and Timely Statistics, Cham, Springer, 2024, pp. 225 - 240 [capitolo di libro]
Farne, Matteo; Zavarise, Laura, 2nd Italian Conference on Economic Statistics (ICES 2024), Statistical Analysis of Complex Economic Data: Recent Developments and Applications, Book of Short Papers, in: Book of Short Papers, Firenze, Casa Editrice Bonechi srl, 2024, pp. 101 - 104 [capitolo di libro]
Farne, Matteo; Vouldis, Angelos, Challenges in Using High-Dimensional Clustering Methods to Identify Banks’ Business Models, in: Sage Research Methods: Business, London, SAGE Publications, Ltd., 2023, pp. N/A - N/A [capitolo di libro]
Farne, Matteo; Grimaccia, Elena; Sonnati, Annalisa, Comparing parametric and nonparametric models: An application to university students’ rental prices, in: Statistics, Technology and Data Science for Economic and Social Development, Padova, Cleup sc ‘Coop. Libraria Editrice Università di Padova’, 2023, pp. 235 - 240 [capitolo di libro]
Gioia Taraborrelli; Matteo farne, Educational Data Mining: clustering students’ performance over time, in: BOOK OF SHORT PAPERS, 2023, pp. 490 - 495 (atti di: 11th Scientific Meeting of the SIS Group "Statistics for the Evaluation and Quality in Services", Pescara, 30 agosto-1 settembre 2023) [Contributo in Atti di convegno]
