26 October 2021

• Martina Toma. Data characterization by means of novel spatio-temporal patterns. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Master of science program in Data Science And Engineering, 2021
  

  

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13 April 2022

• Lukas Canciani Graziani. Bridge Aware Clustering: distributed and noise-tolerant extensions. Rel. Paolo Garza, Luca Cagliero, Luca Colomba. Politecnico di Torino, Master of science program in Computer Engineering, 2022
  

  

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• Giuseppe Moscarelli. Classificatori associativi per dati spaziali-temporali = Associative classifiers for spatio-temporal data. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Master of science program in Computer Engineering, 2022
  

  

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• Laura Gabriele. Machine Learning for Network Supervision and Fault Prediction in telecommunication infrastructures. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022

29 July 2022

• Lorenzo Ottino. Associative spatio-temporal classification: a scalable spatio-temporal classifier. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022
  

  

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28 October 2022

• Daniele Rege Cambrin. Vision Transformers for burned area detection. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Master of science program in Computer Engineering, 2022
  

  

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21 April 2023

• Salvatore Stefano Furnari. Associative Classification of Spatio-Temporal Data. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023
  

  

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• Michele Masciave'. Data Mining for Fault Management in Telecommunication Networks: Clustering-Aided Network Supervision. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Master of science program in Computer Engineering, 2023
• Gaetano Riccardo Ricotta. Propagation pattern mining algorithm: a parallel approach. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Master of science program in Computer Engineering, 2023
  

  

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• Gianvito Liturri. Temporal Co-location Pattern Discovery in Spatiotemporal Data through Parallel Computing. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023
  

  

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3 October 2023

• Luca Francesco Rossi. Causal Correlation Detection in Telecommunication Networks Failures via Graph Analysis. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Master of science program in Mathematical Engineering, 2023

27 October 2023

• Luca Ferraro. A parallel algorithm for mining sequences of spatio-temporal co-location patterns. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Master of science program in Computer Engineering, 2023
  

  

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15 December 2023

• Giovanni Mantegna. Spatio-Temporal Graph Neural Networks for Wind Power Forecasting. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023
  

  

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• Giovanni Sciortino. Vision Graph Neural Networks for Remote Sensing. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023
  

  

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11 April 2024

• Giovanni Genna. Analysis and classification of network device alarm clusters. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Master of science program in Computer Engineering, 2024

13 December 2024

• Pouya Rivandi. Data Science and Search Engines for Green Technologies and Sustainable Industries. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Master of science program in Data Science And Engineering, 2024
  

  

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• Nicolo' Caradonna. Machine Learning for Supervision in Computer Networks. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Master of science program in Computer Engineering, 2024
• Ivan D'Onofrio. Spatiotemporal Graph Neural Networks for Wind Energy Production Forecasting. Rel. Paolo Garza, Luca Colomba. Politecnico di Torino, Master of science program in Data Science And Engineering, 2024
  

  

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24 October 2025

• Andrea Mirenda. Graph Neural Networks for Relational Databases Analysis. Rel. Paolo Garza, Luca Colomba, Daniele Loiacono. Politecnico di Torino, Master of science program in Computer Engineering, 2025
  

  

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