5th Winter School on Data Analytics (DA 2020)

20-22 ноября 2020 г. состоится 5-я зимняя школа по аналитике данных.

Organizers:

1. Laboratory of Algorithms and Technologies for Network Analysis of National Research University Higher School of Economics (LATNA)
2. Keldysh Institute of Applied Mathematics of Russian Academy of Science (IPM)

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:

• DA 2016
• DA 2017
• DA 2018
• DA 2019

Registration: The school is organized for last-year bachelor, master and PhD students. To attend the school as a participant you must register before November 10, 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 (PDF, 10 Kb) 

Mihalis Doumpos, Technical University of Crete, Crete

Data analytics and decision aiding models for credit risk modeling and banking (PDF, 9 Kb) 

Mario Guarracino,  University of Cassino and ICAR-CNR, Italy

Introduction to machine learning for biomedical data science (PDF, 9 Kb) 

Introduction to classification and clustering (PDF, 9 Kb) 

Ilias Kotsireas, Wilfrid  Laurier University, Canada

Spectral Clustering (PDF, 9 Kb) 

Harilaos Mertzanis, Abu Dhabi University,  United Arab Emirates

A data-driven approach to financial institution soundness around the world (PDF, 53 Kb) 

Panos Pardalos, University of Florida, USA and HSE

Recent Research on Support Vector Machines (PDF, 67 Kb) 

Marcello Pelillo, University of Venice, Italy

From Cliques to Equilibria: The Dominant-Set Approach to Clustering (PDF, 56 Kb) 

Wolfram Wiesemann,  Imperial College London, UK

Introduction to Robust Optimization (PDF, 10 Kb) 

 Co-Chairs of the school:

Panos Pardalos, University of Florida and HSE
Alexander Aptekarev, Keldysh Institute of Applied Mathematics

 
Local Organizing Committee:

Staff of the lab LATNA
Contact: vkalyagin@hse.ru