Machine Learning and Applications Summer School: call for applications
- News Editor
- News
- May 14, 2022
In collaboration with ETIS, Central Washington University (USA) and Transilvania University of Brasov (Romania), we organise the 2nd edition of the International “Machine Learning and Applications Summer School” with a focus on Visualization in Machine Learning.
This summer school is a training environment for both professionals from the industry and graduate students. The lectures are accompanied by workshops offering hands-on experience with machine learning methods and tools. The event creates an excellent opportunity to meet machine learning experts from several countries in the exciting environment of a charming touristic place in Romania.
Website : https://mlass.unitbv.ro
Dates: July 26-29, 2022
Place: Brasov, Romania
CONFIRMED SPEAKERS:
- Visual Knowledge Discovery with Artificial Intelligence: Challenges and Future Directions
Boris Kovalerchuk, Professor, Dept. of Computer Science at Central Washington University, USA - Visual Knowledge Discovery and Explainable AI/ML with Visual Means
Boris Kovalerchuk, Professor, Dept. of Computer Science at Central Washington University, USA - Explainability and Visualization for Text Classification
Diana Inkpen, School of Electrical Engineering and Computer Science, University of Ottawa, Canada - Dimensional Reduction Models and Visualization
Nistor Grozavu, ETIS Laboratory, CYU Cergy Paris University, France
Basarab Matei, Laboratoire d’Informatique de Paris Nord, Université Sorbonne Paris Nord, France
Nicoleta Rogovschi, Laboratory of Informatics Paris Descartes (LIPADE), Paris Descartes University, France - Multi-view and multi-modal visualization based on t-SNE and their variants
Nistor Grozavu, ETIS Laboratory, CYU Cergy Paris University, France
Basarab Matei, Laboratoire d’Informatique de Paris Nord, Université Sorbonne Paris Nord, France
Nicoleta Rogovschi, Laboratory of Informatics Paris Descartes (LIPADE), Paris Descartes University, France - Visualization using SOM and Neural Gas
Guénaël Cabanes, Laboratoire d’Informatique de Paris Nord, Université Sorbonne Paris Nord, France
Parisa Rastin, LORIA, Nancy University, France - Manipulation and visualization of Time Series
Guénaël Cabanes, Laboratoire d’Informatique de Paris Nord, Université Sorbonne Paris Nord, France
Parisa Rastin, LORIA, Nancy University, France - Visualization and Information Aggregation in Deep Learning
Razvan Andonie, Computer Science Department, Central Washington University, USA
FEES AND REGISTRATION
For more details and to register, see https://mlass.unitbv.ro/index.php/registration (deadline: May 31, 2022).
ORGANIZERS
Transilvania University of Brasov (Romania)
ETIS laboratory – CY Cergy Paris Université/ENSEA/CNRS (France)
Central Washington University (USA)
Important dates
Application: before May 31, 2022
