5th Winter School on Data Analytics (DA 2020)
Organizers:
- Laboratory of Algorithms and Technologies for Network Analysis of National Research University Higher School of Economics (LATNA)
- Keldysh Institute of Applied Mathematics of Russian Academy of Science (IPM)
- Moscow Center for Fundamental and Applied Mathematics
Dates: Novenber 20-22, 2020
Place: Zoom
Target Groups:
The target groups of the school are students and young researchers interested in modern trends in data analytics, including big data processing and new machine learning and data mining techniques.
Lecturers at the school are internationally recognized experts in the field. Young researchers will have an opportunity to learn and understand a modern theoretical approaches and practical techniques in data analysis.
The school is a continuation of the successful Winter Schools on Data Analytics:
Registration: The school is organized for last-year bachelor, master and PhD students. To attend the school as a participant you must register before 15:00, November 19, 2020. Students are also encouraged to present the recent results of their research related to the topics of the school
Notification of acceptance: ad hoc
School Schedule: Every day 4 lectures from 15:00 to 19:00
Program: Winter_School_2020_Program (PDF, 191 Kb)
Presentations
List of Confirmed School Lecturers (to be extended):
Emilio Carrizosa, University of Sevilla, Spain
On Interpretability in Data Analytics (Presentation_1, Presentation_2, Presentation_3)
Mihalis Doumpos, Technical University of Crete, Crete
Data analytics and decision aiding models for credit risk modeling and banking (Presentation )
Mario Guarracino, University of Cassino and ICAR-CNR, Italy
Introduction to machine learning for biomedical data science (Presentation )
Introduction to classification and clustering (Presentation )
Ilias Kotsireas, Wilfrid Laurier University, Canada
Spectral Clustering (Presentation )
Harilaos Mertzanis, Abu Dhabi University, United Arab Emirates
A data-driven approach to financial institution soundness around the world (Presentation )
Panos Pardalos, University of Florida, USA and HSE
Recent Research on Support Vector Machines (Presentation)
Marcello Pelillo, University of Venice, Italy
From Cliques to Equilibria: The Dominant-Set Approach to Clustering (Presentation)
Wolfram Wiesemann, Imperial College London, UK
Introduction to Robust Optimization
Co-Chairs of the school:
Panos Pardalos, University of Florida and HSE
Alexander Aptekarev, Keldysh Institute of Applied Mathematics of the Russian Academy of Science, Moscow Center for Fundamental and Applied Mathematics
Local Organizing Committee:
Staff of the lab LATNA
Contact: vkalyagin@hse.ru
Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!
To be used only for spelling or punctuation mistakes.