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
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
A Bootstrap Method to Test Granger-Causality in the Frequency Domain
2022 Farnè, Matteo; Montanari, Angela
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| Detecting Fake News from Text: A Stagewise Methodology | Farne, Matteo; Benelli, Giulia | 2025-01-01 | - | Springer | 2.01 Capitolo / saggio in libro | Farnè_Benelli_SIS24_Bari.pdf |
| 2nd Italian Conference on Economic Statistics (ICES 2024), Statistical Analysis of Complex Economic Data: Recent Developments and Applications, Book of Short Papers | Farne, Matteo; Zavarise, Laura | 2024-01-01 | - | Casa Editrice Bonechi srl | 2.01 Capitolo / saggio in libro | - |
| Analysing electroacoustic music by integrating listening and signal processing | Maschio, Francesco; Sargenti, Simonetta; Farne, Matteo; Cecchetti, Gabriele | 2024-01-01 | - | Wanceulen | 2.01 Capitolo / saggio in libro | - |
| Comparing How Python and R Estimate Granger-Causality in the Frequency Domain | Matteo Farne; Meng Yang | 2024-01-01 | - | Springer | 2.01 Capitolo / saggio in libro | - |
| Do retail-oriented banks have less non-performing loans? | Farne, Matteo; Vouldis, Angelos | 2024-01-01 | JOURNAL OF ECONOMIC ASYMMETRIES | - | 1.01 Articolo in rivista | - |
| Fake news language analysis and detection via a text mining approach | Farne, Matteo; Benelli, Giulia | 2024-01-01 | - | Presses universitaires de Louvain, 2024 | 2.01 Capitolo / saggio in libro | - |
| Large factor model estimation by nuclear norm plus ℓ1 norm penalization | Farne, Matteo; Montanari, Angela | 2024-01-01 | JOURNAL OF MULTIVARIATE ANALYSIS | - | 1.01 Articolo in rivista | Large_factor_model_estimation_JMVA_2023.pdf |
| Liszt’s Étude S.136 no.1: audio data analysis of two different piano recordings | Farne, Matteo | 2024-01-01 | ADVANCES IN DATA ANALYSIS AND CLASSIFICATION | - | 1.01 Articolo in rivista | s11634-024-00594-6.pdf |
| Predicting Customer Satisfaction by Amazon Reviews: The Bluetooth Earphones Example | Delmonte, Alessandro; Farne, Matteo | 2024-01-01 | - | Springer | 2.01 Capitolo / saggio in libro | - |
| ROBOUT: a conditional outlier detection methodology for high-dimensional data | Farne Matteo; Vouldis A. | 2024-01-01 | STATISTICAL PAPERS | - | 1.01 Articolo in rivista | s00362-023-01492-3.pdf |
| The Importance of Robust Second-Stage Regressions for Financial Data | Farne, Matteo; Vouldis, Angelos | 2024-01-01 | - | Springer | 2.01 Capitolo / saggio in libro | - |
| Challenges in Using High-Dimensional Clustering Methods to Identify Banks’ Business Models | Farne, Matteo; Vouldis, Angelos | 2023-01-01 | - | SAGE Publications, Ltd. | 2.01 Capitolo / saggio in libro | - |
| Educational Data Mining: clustering students’ performance over time | Gioia Taraborrelli; Matteo farne | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| High‐dimensional regression coefficient estimation by nuclear norm plus l1 norm penalization | Farne, Matteo; Montanari, Angela | 2023-01-01 | STAT | - | 1.01 Articolo in rivista | Stat - 2023 - Farn - High‐dimensional regression coefficient estimation by nuclear norm plu.pdf |
| Predicting musical genres from Spotify data by statistical machine learning | Federica Biazzo; Matteo Farne | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Redesigning Spotify “Mood” playlists by statistical machine learning | Federica Biazzo; Matteo Farne | 2023-01-01 | - | Accademia Musicale Studio Musica | 2.01 Capitolo / saggio in libro | - |
| ROBOUT: a step-wise methodology for conditional outlier detection | Matteo Farne; Angelos Vouldis | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| TeleNEwCARe: An Italian case-control telegenetics study in patients with Hereditary NEuromuscular and CArdiac diseases | 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 | 2023-01-01 | EUROPEAN JOURNAL OF MEDICAL GENETICS | - | 1.01 Articolo in rivista | 11585_921093.pdf |
| TRIMMED FACTORIAL K-MEANS | Matteo Farne | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| A Bootstrap Method to Test Granger-Causality in the Frequency Domain | Farnè, Matteo; Montanari, Angela | 2022-01-01 | COMPUTATIONAL ECONOMICS | - | 1.01 Articolo in rivista | s10614-021-10112-x.pdf |