Foto del docente

Matteo Farnè

Associate Professor

Department of Statistical Sciences "Paolo Fortunati"

Academic discipline: STAT-01/A Statistics

Teaching

Recent dissertations supervised by the teacher.

First cycle degree programmes dissertations

  • Dynamic Factor Models: Theoretical Framework, Estimation Methods and Empirical Comparison

Second cycle degree programmes dissertations

  • A comparative study of traditional and modern AI approaches for customer intent classification in emails
  • a scenario-based comparative analysis of forecasting methods for multivariate time series
  • Analisi della mobilità Urbana: Impatto della normativa "Città 30" nella città di Bologna
  • Beyond I.I.D. Assumption: Machine Learning for Dependent Data
  • Beyond Openings: Predicting Chess Match Outcomes at Move 20
  • Churn analysis: un’analisi statistica comparative tra modelli di machine learning
  • Comparative Analysis of Music Clustering and Classification Using Audio Feature Extraction and Time Series Analysis
  • Confronto tra AutoML e Large Language Model (ChatGPT) nel contesto di un'analisi di classificazione binaria
  • Dalla segmentazione alla classificazione: un caso studio sul dataset Marketing_Campaign.
  • Data Science techniques for Real Estate data: Dimension Reduction for Regression and Classification Model Selection
  • Machine and Deep Learning-Based Insights into the Customer Base of a Leading Luxury Brand
  • Modelli di Machine Learning, Deep Learning ed Ensemble Learning: un confronto empirico in contesti reali
  • Modelli statistici per l'analisi del rischio di credito in Germania negli anni '90: un'analisi comparata.
  • Multimodal Approaches to Fake News Detection Using Machine Learning and Deep Learning: An Empirical Analysis of the FakeReddit and Weibo Datasets
  • Predictive Modelling of CRC from Colonoscopy Image Features: A High-Dimensional Approach
  • relazioni economiche-commerciali bilaterali tra Italia e Polonia: un’analisi mediante generalised dynamic principal components, dynamic factor models e impulse-response function
  • SEGMENTAZIONE D’ISTANZA PER IL RILEVAMENTO DI DANNI AUTOMOBILISTICI Analisi sperimentale con Mask R-CNN sul dataset CarDD
  • Statistical learning classification methods to predict firms’ defaults: a comparative analysis on financial data
  • Un'analisi dei discorsi parlamentari italiani tramite tecniche di text mining