Workshop on Clustering and Search techniques for large scale networks
The Workshop/School Seminar on Clustering and Search techniques for large scale networks will take place on October 23 – 25, 2015 in Nizhny Novgorod, Russia. The workshop is supported by grant RSF 14-41-00039.
The workshop is organized for last-year bachelor, master and PhD students.
Language of the workshop: English.
Important Dates
Abstract submission: October 10, 2015
Notification of acceptance: October 15, 2015
Registration: October 20, 2015
Workshop: October 23-25, 2015
Invited plenary speakers
Ashwin Arulselvan, University of Strathclyde, UK
Plenary talk: Recent advances in critical element detection in networks
Lecture: Exact and approximation algorithms for designing optical access networks
Giuseppe Nicosia, University of Catania, Italy
Plenary talk: Pareto Optimization and Data Analysis for Biological Networks
Lecture: Multi-objective Optimization for Large Scale Networks
Plenary talk: Patrolling Games
Lecture: Patrolling Games for special graphs
Speakers
Panos M. Pardalos, University of Florida, USA
Lecture: Constrained Subspace Classifier For High Dimensional Datasets
Mario Guarracino, ICAR-CNR, Italy
Lecture: For biological experimental data to regulatory and interaction networks
Nenad Mladenovic, LAMIH, University of Valenciennes, France
Lecture: Variable neighborhood programming – a new automatic programming method in artificial intelligence
Valery Kalyagin, National Research University Higher School of Economics, Russia
Lecture: Robust identification in large scale network
Mikhail Batsyn, National Research University Higher School of Economics, Russia
Lecture: Applying bitwise operations for solving combinatorial optimization problems
Alexander Ponomarenko, National Research University Higher School of Economics, Russia
Lecture: Techniques for overlapping community detection
Andrey Savchenko, National Research University Higher School of Economics, Russia
Lecture: Statistical classification of a sequence of objects based on a fuzzy approach
Alexey Nikolaev, National Research University Higher School of Economics, Russia
Lecture: Efficient approach for the maximum clique problem based on machine learning
Organizers
Panos M. Pardalos, University of Florida, USA
Valery Kalyagin, National Research University Higher School of Economics, Russia
Alexey Nikolaev, National Research University Higher School of Economics, Russia
Managers
Timur Medvedev, National Research University Higher School of Economics, Russia
Oleg Kremnyov, National Research University Higher School of Economics, Russia
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