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Program
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Workshop on Clustering and Search techniques in large scale networks

 

 

 

November 3rd – November 8th, 2014

 

 

 

 

Russian Science Foundation (RSF), Russia

 

         

 

Monday,Nov 3rd

Participants arrival

 

 

Tuesday, Nov 4th

Room 209 HSE, 136 Rodionova Str.

 

9:30-10:00 Registration of participants


10:00-10:50 Panos Pardalos

Lecture: Clustering and Search Techniques in Large Scale Networks
 Presentation

 

11:10-12:00 Mario Guarracino

Lecture: Mining Life: Opportunities and Challenges for the Data Scientist
 Presentation

 

12:10-13:00 Sonia Cafieri

Lecture:  On Network Clustering by Modularity Maximization with Cohesion Conditions 
 Presentation

 

13:00-14:30 Lunch Break

 

14:30-15:10 Valery Kalyagin

Seminar: Market Graph Model
 Presentation

 

15:20-16:00 Mario Guarracino

Seminar: Spectral based feature selection for a multiclass cell death discrimination problem
 Presentation

 

16:10-16:50 Sonia Cafieri

Seminar:  Hierarchical Network Clustering by Modularity Maximization 

 Presentation 

 

 

 

Wednesday, Nov 5th

Room 209 HSE, 136 Rodionova Str.

 

10:00-10:50 Theodore Trafalis

Lecture: Bayesian Kernel Methods for Binary Classification and Online Learning Problems 
 Presentation 
 A Bayesian Beta Kernel Model for Binary Classification and Online Learning Problems

 

11:10-12:00 Julius Žilinskas

Lecture: Multi-objective Optimization and Network Clustering
 Presentation

 

12:10-13:00 Pablo San Segundo

Lecture: Searching for Cliques of High Order in Large Scale Networks
 Presentation

 

13:00-14:30 Lunch Break

 

14:30-15:10 Theodore Trafalis

Seminar: Robust Optimization and Machine Learning for Classification of Noisy and Imbalanced Data
 Presentation

 

15:20-16:00 Julius Žilinskas

Seminar: On Bounding Fronts and Bounding Vectors in Multi-objective Optimization
 Presentation

 

16:10-16:50 Pablo San Segundo

Seminar: Searching for Cliques of High Order in Large Scale Networks
 Presentation

 


 

Thursday, Nov 6th

Room 209 HSE, 136 Rodionova Str.

 

10:00-10:50 Nenad Mladenovic

Lecture: Primal-dual Variable Neighborhood Search for Clustering on Large Networks
 Presentation 1
 Presentation 2

 

11:10-12:00 Leonidas Pitsoulis

Lecture: Quality Functions in Graph Clustering
 Presentation

 

12:10-13:00 Mikhail Batsyn

Lecture: An Efficient Approach to the Protein Structure Alignment Problem
 Presentation

 

13:00-14:30 Lunch Break

 

14:30-15:10 Nenad Mladenovic

Seminar: Developing Variable Neighborhood Search (VNS)
 Presentation

 

15:20-16:00 Leonidas Pitsoulis

Seminar: Quality Functions in Graph Clustering

 

16:10-16:50 Mikhail Batsyn

Seminar: An Efficient Approach to the Protein Structure Alignment Problem

 


 

Friday, Nov 7th

Room 209 HSE, 136 Rodionova Str.

 

10:00-11:20 Alexander Ponomarenko

Lecture and Seminar: Navigability of Complex Networks
 Presentation

 

11:40-13:00 Andrey Savchenko

Lecture and Seminar: Real-time Recognition of Piecewise-regular Objects
 Presentation

 

 

13:00-14:30 Lunch Break

 

 

14:30-16:30 Student session:

 

Olga Gorynina

Experimental study of the accuracy of face recognition software in noisy environment

 Presentation

Ivan Grechikhin

EEG research with graph theory

 Presentation

Larisa Komosko

A fast greedy sequential heuristic for the vertex coloring problem

 Presentation

Maxim Kazakov

Market network for Russian stock market

 Presentation

Ksenia Shipova

Cascade Classifier Training for the Problem of Video-Based Pedestrian Object Detection

 Presentation

Irina Utkina

A branch and bound algorithm for cell formation problem

 Presentation

Sergey Verentsov

Condorset's paradox and probability of its occurence

 Presentation


Saturday, Nov 8th

Participants departure

 


 

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