FARNE', MATTEO
FARNE', MATTEO
STAT - DIPARTIMENTO DI SCIENZE STATISTICHE "PAOLO FORTUNATI"
Ricercatori a tempo determinato
Detecting Fake News from Text: A Stagewise Methodology
2025 Farne, Matteo; Benelli, Giulia
L’italiano scritto all’università: prime elaborazioni statistiche di dati linguistici e sociobiografici
2025 Farne', M.; Grandi, N.; Pascoli, M.
2nd Italian Conference on Economic Statistics (ICES 2024), Statistical Analysis of Complex Economic Data: Recent Developments and Applications, Book of Short Papers
2024 Farne, Matteo; Zavarise, Laura
Analysing electroacoustic music by integrating listening and signal processing
2024 Maschio, Francesco; Sargenti, Simonetta; Farne, Matteo; Cecchetti, Gabriele
Comparing How Python and R Estimate Granger-Causality in the Frequency Domain
2024 Matteo Farne; Meng Yang
Do retail-oriented banks have less non-performing loans?
2024 Farne, Matteo; Vouldis, Angelos
Fake news language analysis and detection via a text mining approach
2024 Farne, Matteo; Benelli, Giulia
Large factor model estimation by nuclear norm plus ℓ1 norm penalization
2024 Farne, Matteo; Montanari, Angela
Liszt’s Étude S.136 no.1: audio data analysis of two different piano recordings
2024 Farne, Matteo
Predicting Customer Satisfaction by Amazon Reviews: The Bluetooth Earphones Example
2024 Delmonte, Alessandro; Farne, Matteo
ROBOUT: a conditional outlier detection methodology for high-dimensional data
2024 Farne Matteo; Vouldis A.
The Importance of Robust Second-Stage Regressions for Financial Data
2024 Farne, Matteo; Vouldis, Angelos
Challenges in Using High-Dimensional Clustering Methods to Identify Banks’ Business Models
2023 Farne, Matteo; Vouldis, Angelos
Educational Data Mining: clustering students’ performance over time
2023 Gioia Taraborrelli; Matteo farne
High‐dimensional regression coefficient estimation by nuclear norm plus l1 norm penalization
2023 Farne, Matteo; Montanari, Angela
Predicting musical genres from Spotify data by statistical machine learning
2023 Federica Biazzo; Matteo Farne
Redesigning Spotify “Mood” playlists by statistical machine learning
2023 Federica Biazzo; Matteo Farne
ROBOUT: a step-wise methodology for conditional outlier detection
2023 Matteo Farne; Angelos Vouldis
TeleNEwCARe: An Italian case-control telegenetics study in patients with Hereditary NEuromuscular and CArdiac diseases
2023 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
TRIMMED FACTORIAL K-MEANS
2023 Matteo Farne