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ORCIDINNSBDDL 2019: Sestri Levante, Genova, Italy - Tutorials
- Luca Oneto, Nicolò Navarin, Alessandro Sperduti, Davide Anguita:
Recent Trends in Learning From Data - Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL 2019). Studies in Computational Intelligence 896, Springer 2020, ISBN 978-3-030-43882-1 - Luca Oneto
, Nicolò Navarin, Alessandro Sperduti, Davide Anguita:
Introduction. 1-4 - Paolo Ferragina, Giorgio Vinciguerra:
Learned Data Structures. 5-41 - Claudio Gallicchio, Simone Scardapane:
Deep Randomized Neural Networks. 43-68 - Ilya Kisil, Giuseppe Giovanni Calvi, Bruno Scalzo Dees, Danilo P. Mandic:
Tensor Decompositions and Practical Applications: A Hands-on Tutorial. 69-97 - Davide Bacciu, Alessio Micheli:
Deep Learning for Graphs. 99-127 - Vera Kurková:
Limitations of Shallow Networks. 129-154 - Luca Oneto, Silvia Chiappa:
Fairness in Machine Learning. 155-196 - German Ignacio Parisi, Vincenzo Lomonaco:
Online Continual Learning on Sequences. 197-221
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