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Semantic ScholarAndrey Filchenkov
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2010 – today
- 2019
[j2]Viacheslav Shalamov, Andrey Filchenkov, Anatoly Shalyto:
Heuristic and metaheuristic solutions of pickup and delivery problem for self-driving taxi routing. Evolving Systems 10(1): 3-11 (2019)- [j1]Dmitry Mukhutdinov
, Andrey Filchenkov, Anatoly Shalyto, Valeriy Vyatkin:
Multi-agent deep learning for simultaneous optimization for time and energy in distributed routing system. Future Generation Comp. Syst. 94: 587-600 (2019) - [c23]Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua:
A Whole New Ball Game: Harvesting Game Data for Player Profiling. AAAI 2019: 10025-10026 - [c22]Tatyana Polevaya, Roman Ravodin, Andrey Filchenkov:
Skin Lesion Primary Morphology Classification With End-To-End Deep Learning Network. ICAIIC 2019: 247-250 - [c21]Alexey Zabashta, Andrey Filchenkov:
Active Dataset Generation for Meta-learning System Quality Improvement. IDEAL (1) 2019: 394-401 - [c20]Dmitry Tomp, Sergey Muravyov, Andrey Filchenkov, Vladimir Parfenov:
Meta-learning Based Evolutionary Clustering Algorithm. IDEAL (1) 2019: 502-513 - [c19]Nickolay Viuginov, Andrey Filchenkov:
A machine learning based automatic folding of dynamically typed languages. MaLTeSQuE@ESEC/SIGSOFT FSE 2019: 31-36 - [i5]Arip Asadulaev, Igor Kuznetsov, Andrey Filchenkov:
Linear Distillation Learning. CoRR abs/1906.05431 (2019) - [i4]Arip Asadulaev, Gideon Stein, Igor Kuznetsov, Andrey Filchenkov:
Jacobian Policy Optimizations. CoRR abs/1906.05437 (2019) - 2018
- [c18]Kseniya Buraya, Aleksandr Farseev, Andrey Filchenkov:
Multi-view Personality Profiling Based on Longitudinal Data. CLEF 2018: 15-27 - [c17]Natalia Khanzhina, Evgeny Putin, Andrey Filchenkov, Elena Zamyatina:
Pollen grain recognition using convolutional neural network. ESANN 2018 - [c16]Ruslan Akhundov, Andrey Filchenkov, Vladimir Gorovoy:
Formalization and Automated Detection of Tourist City Center Location. FRUCT 2018: 21-26 - [c15]Sergey Budkov, Kseniya Buraya, Andrey Filchenkov, Ivan Smetannikov, Antonina Puchkovskaia:
RICH-CPL: Fact Extraction from Wikipedia-sized Corpora for Morphologically Rich Languages. FRUCT 2018: 78-84 - [c14]Kirill Kochetov, Evgeny Putin, Maksim Balashov, Andrey Filchenkov, Anatoly Shalyto:
Noise Masking Recurrent Neural Network for Respiratory Sound Classification. ICANN (3) 2018: 208-217 - [c13]George Davidescu, Andrey Filchenkov, Amir Muratov, Valeriy Vyatkin:
A Flow-Based Heuristic Algorithm for Network Operations Planning in Smart Grids. IECON 2018: 3529-3534 - 2017
- [c12]Kseniya Buraya, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua:
Towards User Personality Profiling from Multiple Social Networks. AAAI 2017: 4909-4910 - [c11]Kseniya Buraya, Lidia Pivovarova, Sergey Budkov, Andrey Filchenkov:
Towards Never Ending Language Learning for Morphologically Rich Languages. BSNLP@EACL 2017: 108-118 - [c10]Igor Tanfilev, Andrey Filchenkov, Ivan Smetannikov:
Feature selection algorithm ensembling based on meta-learning. CISP-BMEI 2017: 1-6 - [c9]Kirill Kochetov, Evgeny Putin, Svyatoslav Azizov, Ilya Skorobogatov, Andrey Filchenkov:
Wheeze Detection Using Convolutional Neural Networks. EPIA 2017: 162-173 - [c8]Sergey Muravyov, Andrey Filchenkov:
Meta-learning System for Automated Clustering. AutoML@PKDD/ECML 2017: 99-101 - [c7]Alexey Zabashta, Andrey Filchenkov:
NDSE: Instance Generation for Classification by Given Meta-Feature Description. AutoML@PKDD/ECML 2017: 102-104 - [c6]Aleksandr Farseev, Ivan Samborskii, Andrey Filchenkov, Tat-Seng Chua:
Cross-Domain Recommendation via Clustering on Multi-Layer Graphs. SIGIR 2017: 195-204 - [i3]Evgeny Zamyatin, Andrey Filchenkov:
Learning to Generate Chairs with Generative Adversarial Nets. CoRR abs/1705.10413 (2017) - 2016
- [c5]Viacheslav Shalamov, Andrey Filchenkov, Daniil Chivilikhin:
Small-Moves Based Mutation For Pick-Up And Delivery Problem. GECCO (Companion) 2016: 1027-1030 - [c4]Viacheslav Shalamov, Andrey Filchenkov, Anatoly Shalyto:
Genetic Search of Pickup and Delivery Problem Solutions for Self-driving Taxi Routing. AIAI 2016: 348-355 - [c3]Alexey Zabashta, Ivan Smetannikov, Andrey Filchenkov:
Rank Aggregation Algorithm Selection Meets Feature Selection. MLDM 2016: 740-755 - [i2]Ivan Smetannikov, Ilya Isaev, Andrey Filchenkov:
Reinforcement Learning Approach for Parallelization in Filters Aggregation Based Feature Selection Algorithms. CoRR abs/1611.02047 (2016) - [i1]Valeria Efimova, Andrey Filchenkov, Anatoly Shalyto:
Reinforcement-based Simultaneous Algorithm and its Hyperparameters Selection. CoRR abs/1611.02053 (2016) - 2015
- [c2]Andrey Filchenkov, Vladislav Dolganov, Ivan Smetannikov:
PCA-based algorithm for feature score measures ensemble construction. ESANN 2015 - [c1]Alexey Zabashta, Ivan Smetannikov, Andrey Filchenkov:
Study on Meta-Learning Approach Application in Rank Aggregation Algorithm Selection. MetaSel@PKDD/ECML 2015: 115-116
Coauthor Index
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