Irina Petrova
Orcid: 0000-0002-4584-9505Affiliations:
- ITMO University, Saint Petersburg, Russia
According to our database1,
Irina Petrova
authored at least 11 papers
between 2013 and 2023.
Collaborative distances:
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Bibliography
2023
Client-Service Communication: Speech Patterns and Scenarios (Based on the Materials of the "One Day of Speech" Corpus).
Proceedings of the 34th Conference of Open Innovations Association, 2023
2022
Empirical Studies of Everyday Professional, Domestic and Client-Service Communication for the Development of Voice Assistants in Russian.
Proceedings of the 32nd Conference of Open Innovations Association, 2022
2017
Reinforcement Learning Based Dynamic Selection of Auxiliary Objectives with Preserving of the Best Found Solution.
CoRR, 2017
Reinforcement learning based dynamic selection of auxiliary objectives with preservation of the best found solution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Runtime analysis of different Approaches to select conflicting auxiliary objectives in the generalized OneMax problem.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Adaptive Parameter Selection in Evolutionary Algorithms by Reinforcement Learning with Dynamic Discretization of Parameter Range.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
2015
Selection of Auxiliary Objectives in the Travelling Salesman Problem using Reinforcement Learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2014
Improved Selection of Auxiliary Objectives Using Reinforcement Learning in Non-stationary Environment.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014
NSGA-II implementation details may influence quality of solutions for the job-shop scheduling problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
2013
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Generation of tests for programming challenge tasks using multi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013