Disputationer

Kalenderhändelser saknas för aktuell period.

Kommande kalenderhändelser:

• Toward automated veracity assessment of data from open sources using features and indicators

  3 jun

  Disputationer

  Informations- och kommunikationsteknik

  måndag 2024-06-03, 13.30

  Plats: Sal C, Kistagången 16

  Videolänk: https://kth-se.zoom.us/j/63226866138

  Respondent: Marianela García Lozano , Programvaruteknik och datorsystem, SCS

  2024-06-03T13:30:00.000+02:00 2024-06-03T13:30:00.000+02:00 Toward automated veracity assessment of data from open sources using features and indicators (Disputationer) Sal C, Kistagången 16 (KTH, Stockholm, Sweden)Toward automated veracity assessment of data from open sources using features and indicators (Disputationer)

• Abstraction, Composition, and Resolvable Ambiguity in Programming Language Implementation

  8 okt

  Disputationer

  Datalogi

  tisdag 2024-10-08, 13.00

  Plats: Ka-Sal A (Östen Mäkitalo), Kistagången 16, Kista

  Videolänk: https://kth-se.zoom.us/j/66561560361

  Respondent: Viktor Palmkvist , Programvaruteknik och datorsystem, SCS

  2024-10-08T13:00:00.000+02:00 2024-10-08T13:00:00.000+02:00 Abstraction, Composition, and Resolvable Ambiguity in Programming Language Implementation (Disputationer) Ka-Sal A (Östen Mäkitalo), Kistagången 16, Kista (KTH, Stockholm, Sweden)Abstraction, Composition, and Resolvable Ambiguity in Programming Language Implementation (Disputationer)

• Representation Learning and Parallelization for Machine Learning Applications with Graph, Tabular, and Time-Series Data

  21 okt

  Disputationer

  Datalogi

  måndag 2024-10-21, 09.00

  Plats: Sal C, Electrum, Kistagången 16

  Videolänk: https://kth-se.zoom.us/s/63322131109

  Respondent: Tianze Wang , Programvaruteknik och datorsystem, SCS

  2024-10-21T09:00:00.000+02:00 2024-10-21T09:00:00.000+02:00 Representation Learning and Parallelization for Machine Learning Applications with Graph, Tabular, and Time-Series Data (Disputationer) Sal C, Electrum, Kistagången 16 (KTH, Stockholm, Sweden)Representation Learning and Parallelization for Machine Learning Applications with Graph, Tabular, and Time-Series Data (Disputationer)