The 2019 INNS Big Data and Deep Learning (INNSBDDL 2019) conference will be held in Sestri Levante, Italy, April 16–18, 2019. The conference is organized by the International Neural Network Society, with the aim of representing an international meeting for researchers and other professionals in Big Data, Deep Learning and related areas. It will feature invited plenary talks by world-renowned speakers in the area, in addition to regular and special technical sessions with oral and poster presentations. Moreover, workshops and tutorials will also be featured.
Invited Speakers
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- Paolo Ferragina (University of Pisa), Hybrid Data Structures and beyond
- Guang-Bin Huang (School of Electrical and Electronic Engineering
Nanyang Technological University, Singapore), Extreme Learning Machines (ELM) – When ELM and Deep Learning Synergize - Massimiliano Pontil (Istituto Italiano di Tecnologia & University College London), Online Meta-Learning
Tutorials
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- Davide Bacciu, Alessio Micheli (University of Pisa), Deep Learning for Graphs
- Silvia Chiappa (DeepMind), Luca Oneto (University of Genoa), Fairness in Machine Learning
- Claudio Gallicchio (University of Pisa), Simone Scardapane (Sapienza University of Rome), Deep Randomized Neural Networks
- Věra Kůrková (Czech Academy of Sciences), Complexity of Shallow and Deep Networks
- Danilo P. Mandic, Ilia Kisil, and Giuseppe G. Calvi (Imperial College London), Tensor Decompositions and Applications. Blessing of Dimensionality
- German I. Parisi (University of Hamburg) and Vincenzo Lomonaco (Universigty of Bologna), Continual Lifelong Learning with Neural Networks
INNS Big Data and deep learning 2019 