Dottorato in Intelligenza Artificiale , 38o ciclo (2022-2025)
Dottorato concluso nel 2026
Tesi:
On Mining Time Series Data with Random Forest Models: Perspectives from Classification, Anomaly Detection, and Distance Measures (Abstract)
Tutori:
Pietro SalaCarlo CombiManuele BicegoPubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Azzari, Alberto (2026)
On Mining Time Series Data with Random Forest Models: Perspectives from Classification, Anomaly Detection, and Distance Measures. relatore: SALA, PIETRO; COMBI, CARLO; BICEGO, MANUELA, 38. XXXVIII Ciclo, P.: 152
Doctoral Thesis - Azzari, Alberto; Bicego, Manuele (2025)
An Empirical Characterization of the Stability of Isolation Forest Results. In: Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR), Venice (ITA), September 9–10, 2024, pp. 166-176. ISSN 0302-9743. ISBN: 9783031805066
Contributo in Atti di Convegno (Proceeding) - Azzari, Alberto; Bicego, Manuele; Combi, Carlo; Cracco, Andrea; Sala, Pietro (2025)
TSRF-Dist: a novel time series distance based on extremely randomized canonical interval forests. In: DATA MINING AND KNOWLEDGE DISCOVERY, vol. 39. ISSN 1384-5810
Contributo su Rivista - Boaro, Alessandro; Azzari, Alberto; Basaldella, Federica; Nunes, Sonia; Feletti, ... (2024)
Machine learning allows expert level classification of intraoperative motor evoked potentials during neurosurgical procedures. In: COMPUTERS IN BIOLOGY AND MEDICINE, vol. 180. ISSN 0010-4825
Contributo su Rivista - Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; ... (2023)
Designing Logic Tensor Networks for Visual Sudoku puzzle classification. In: 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023), Certosa di Pontignano, Siena (Italia), July 3-5, 2023, pp. 223-232. ISSN 1613-0073
Contributo in Atti di Convegno (Proceeding)