Andrey Filchenkov

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 76

Top Topics

Top Venues

Publications

Ivan Jarsky, Valeria Efimova, Ilya Bizyaev, Andrey Filchenkov
Conditional Vector Graphics Generation for Music Cover Images. VISIGRAPP (2): VISAPP (2024)
Ivan Jarsky, Valeria Efimova, Artyom Chebykin, Viacheslav Shalamov, Andrey Filchenkov
Neural Style Transfer for Vector Graphics. VISIGRAPP (3): VISAPP (2024)
Daria Yakovleva, Sergei Telnov, Ilya Makarov, Andrey Filchenkov
Bid Landscape Forecasting and Cold Start Problem With Transformers. IEEE Access 12 (2024)
Valeria Efimova, Artyom Chebykin, Ivan Jarsky, Evgenii Prosvirnin, Andrey Filchenkov
Neural Style Transfer for Vector Graphics. CoRR (2023)
Natalia Khanzhina, Maxim Kashirin, Andrey Filchenkov
New Bayesian Focal Loss Targeting Aleatoric Uncertainty Estimate: Pollen Image Recognition. CVPR Workshops (2023)
Arip Asadulaev, Vitaly Shutov, Alexander Korotin, Alexander Panfilov, Vladislava Kontsevaya, Andrey Filchenkov
A Minimalist Approach for Domain Adaptation with Optimal Transport. CoLLAs (2023)
Maria Dziuba, Ivan Jarsky, Valeria Efimova, Andrey Filchenkov
Image Vectorization: a Review. CoRR (2023)
Valeria Efimova, Ivan Jarsky, Ilya Bizyaev, Andrey Filchenkov
Conditional Vector Graphics Generation for Music Cover Images. CoRR (2022)
Arip Asadulaev, Alexander Panfilov, Andrey Filchenkov
Multi-step domain adaptation by adversarial attack to H ΔH-divergence. CoRR (2022)
Natalia Khanzhina, Andrey Filchenkov, Natalia Minaeva, Larisa Novoselova, Maxim V. Petukhov, Irina Kharisova, Julia Pinaeva, Georgiy Zamorin, Evgeny Putin, Elena Zamyatina, Anatoly Shalyto
Combating data incompetence in pollen images detection and classification for pollinosis prevention. Comput. Biol. Medicine 140 (2022)
Valeria Efimova, Viacheslav Shalamov, Andrey Filchenkov
First Describe, Then Depict: Generating Covers for Music and Books via Extracting Keywords: This paper presents two methods to generate high resolution uncopyrighted book covers or music album covers. AIPR (2022)
Arip Asadulaev, Alexander Panfilov, Andrey Filchenkov
Easy Batch Normalization. CoRR (2022)
Qi Yang, Aleksandr Farseev, Sergey Nikolenko, Andrey Filchenkov
Do we behave differently on Twitter and Facebook: Multi-view social network user personality profiling for content recommendation. Frontiers Big Data 5 (2022)
Arip Asadulaev, Vitaly Shutov, Alexander Korotin, Alexander Panfilov, Andrey Filchenkov
Connecting adversarial attacks and optimal transport for domain adaptation. CoRR (2022)
Arseny Nerinovsky, Igor Buzhinsky, Andrey Filchenkov
Realistic Text Replacement With Non-Uniform Style Conditioning. IEEE Access 9 (2021)
Aleksandr Farseev, Qi Yang, Andrey Filchenkov, Kirill Lepikhin, Yu-Yi Chu-Farseeva, Daron-Benjamin Loo
SoMin.ai: Personality-Driven Content Generation Platform. WSDM (2021)
Valeria Efimova, Andrey Filchenkov
Text-based sequential image generation. ICMV (2021)
Igor Kuznetsov, Andrey Filchenkov
Solving Continuous Control with Episodic Memory. IJCAI (2021)
Natalia Khanzhina, Alexey Lapenok, Andrey Filchenkov
Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic Aleatoric Uncertainty Modeling. CoRR (2021)
Igor Kuznetsov, Andrey Filchenkov
Solving Continuous Control with Episodic Memory. CoRR (2021)
Dmitry Krylov, Semen Poliakov, Natalia Khanzhina, Alexey Zabashta, Andrey Filchenkov, Aleksandr Farseev
Improving Multimodal Data Labeling with Deep Active Learning for Post Classification in Social Networks. MULL @ ACM Multimedia (2021)
Qi Yang, Aleksandr Farseev, Andrey Filchenkov
Two-Faced Humans on Twitter and Facebook: Harvesting Social Multimedia for Human Personality Profiling. CoRR (2021)
Qi Yang, Aleksandr Farseev, Andrey Filchenkov
Two-Faced Humans on Twitter and Facebook: Harvesting Social Multimedia for Human Personality Profiling. ICDAR@ICMR (2021)
Natalia Khanzhina, Maxim Kashirin, Andrey Filchenkov
Monte Carlo Concrete DropPath for Epistemic Uncertainty Estimation in Brain Tumor Segmentation. UNSURE/PIPPI@MICCAI (2021)
Viacheslav Shalamov, Andrey Filchenkov
Keypoint-based static object removal from photographs. ICMV (2020)
Gleb Drozdov, Alexey Zabashta, Andrey Filchenkov
Graph Convolutional Network Based Generative Adversarial Networks for the Algorithm Selection Problem in Classification. CCRIS (2020)
Qi Yang, Aleksandr Farseev, Andrey Filchenkov
I Know Where You Are Coming From: On the Impact of Social Media Sources on AI Model Performance. CoRR (2020)
Arip Asadulaev, Gideon Stein, Andrey Filchenkov
Transgenerators. ACAI (2020)
Kirill Kochetov, Andrey Filchenkov
Generative Adversarial Networks for Respiratory Sound Augmentation. CCRIS (2020)
Pavel Gulyaev, Andrey Filchenkov
Detection of Shocking Images as One-Class Classification Using Convolutional and Siamese Neural Networks. EANN (2020)
Moath Al Ali, Bassel Zaity, Pavel D. Drobintsev, Hazem Wannous, Igor Chernoruckiy, Andrey Filchenkov
Joint Slot Filling and Intent Detection in Spoken Language Understanding by Hybrid CNN-LSTM Model. CCRIS (2020)
Ilya Sahipov, Alexey Zabashta, Andrey Filchenkov
Stabilization of Dataset Matrix Form for Classification Dataset Generation and Algorithm Selection. IDEAL (2) (2020)
Sergey Muravyov, Andrey Filchenkov
A Cloud-based Network of 3D Objects for Robust Grasp Planning. CCRIS (2020)
Aleksandr Farseev, Qi Yang, Andrey Filchenkov, Kirill Lepikhin, Yu-Yi Chu-Farseeva, Daron-Benjamin Loo
SoMin.ai: Personality-Driven Content Generation Platform. CoRR (2020)
Svyatoslav Oreshin, Andrey Filchenkov, Polina Petrusha, Egor Krasheninnikov, Alexander Panfilov, Igor Glukhov, Yulia E. Kaliberda, Daniil Masalskiy, Alexey Serdyukov, Vladimir Kazakovtsev, Maksim Khlopotov, Timofey Podolenchuk, Ivan Smetannikov, Daria Kozlova
Implementing a Machine Learning Approach to Predicting Students' Academic Outcomes. CCRIS (2020)
Nickolay Viuginov, Petr Grachev, Andrey Filchenkov
A Machine Learning Based Plagiarism Detection in Source Code. ACAI (2020)
Arip Asadulaev, Igor Kuznetsov, Gideon Stein, Andrey Filchenkov
Exploring and Exploiting Conditioning of Reinforcement Learning Agents. IEEE Access 8 (2020)
Gideon Stein, Andrey Filchenkov, Arip Asadulaev
Stabilizing Transformer-Based Action Sequence Generation For Q-Learning. CoRR (2020)
Dmitry Tomp, Sergey Muravyov, Andrey Filchenkov, Vladimir Parfenov
Meta-learning Based Evolutionary Clustering Algorithm. IDEAL (1) (2019)
Arip Asadulaev, Gideon Stein, Igor Kuznetsov, Andrey Filchenkov
Jacobian Policy Optimizations. CoRR (2019)
Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua
A Whole New Ball Game: Harvesting Game Data for Player Profiling. AAAI (2019)
Dmitry Mukhutdinov, Andrey Filchenkov, Anatoly Shalyto, Valeriy Vyatkin
Multi-agent deep learning for simultaneous optimization for time and energy in distributed routing system. Future Gener. Comput. Syst. 94 (2019)
Nickolay Viuginov, Andrey Filchenkov
A machine learning based automatic folding of dynamically typed languages. MaLTeSQuE@ESEC/SIGSOFT FSE (2019)
Petr Grachev, Roman Bezborodov, Ivan Smetannikov, Andrey Filchenkov
Exploring the Relationship between the Structural and the Actual Similarities of Automata. ICMLSC (2019)
Arip Asadulaev, Igor Kuznetsov, Andrey Filchenkov
Linear Distillation Learning. CoRR (2019)
Alexey Zabashta, Andrey Filchenkov
Active Dataset Generation for Meta-learning System Quality Improvement. IDEAL (1) (2019)
Natalia Khanzhina, Natalia Slepkova, Andrey Filchenkov
Synthetic images generation for text detection and recognition in the wild. ICMV (2019)
Valeria Efimova, Viacheslav Shalamov, Andrey Filchenkov
Synthetic dataset generation for text recognition with generative adversarial networks. ICMV (2019)
Tatyana Polevaya, Roman Ravodin, Andrey Filchenkov
Skin Lesion Primary Morphology Classification With End-To-End Deep Learning Network. ICAIIC (2019)
Ilya Kachalsky, Alexey Zabashta, Andrey Filchenkov, Georgiy Korneev
Generating Datasets for Classification Task and Predicting Best Classifiers with Conditional Generative Adversarial Networks. ICAAI (2019)
Daria Yakovleva, Artem Popov, Andrey Filchenkov
Real-Time Bidding with Soft Actor-Critic Reinforcement Learning in Display Advertising. FRUCT (2019)
Viacheslav Shalamov, Andrey Filchenkov, Anatoly Shalyto
Heuristic and metaheuristic solutions of pickup and delivery problem for self-driving taxi routing. Evol. Syst. 10 (1) (2019)
Kirill Kochetov, Evgeny Putin, Maksim Balashov, Andrey Filchenkov, Anatoly Shalyto
Noise Masking Recurrent Neural Network for Respiratory Sound Classification. ICANN (3) (2018)
Kseniya Buraya, Aleksandr Farseev, Andrey Filchenkov
Multi-view Personality Profiling Based on Longitudinal Data. CLEF (2018)
Ivan Samborskii, Andrey Filchenkov, Georgiy Korneev, Aleksandr Farseev
Person, Organization, or Personage: Towards User Account Type Prediction in Microblogs. EGOSE (2018)
Aleksandr Sboev, Alexey Serenko, Roman B. Rybka, Danila Vlasov, Andrey Filchenkov
Estimation of the influence of spiking neural network parameters on classification accuracy using a genetic algorithm. BICA (2018)
Ruslan Akhundov, Andrey Filchenkov, Vladimir Gorovoy
Formalization and Automated Detection of Tourist City Center Location. FRUCT (2018)
Natalia Khanzhina, Evgeny Putin, Andrey Filchenkov, Elena Zamyatina
Pollen grain recognition using convolutional neural network. ESANN (2018)
George Davidescu, Andrey Filchenkov, Amir Muratov, Valeriy Vyatkin
A Flow-Based Heuristic Algorithm for Network Operations Planning in Smart Grids. IECON (2018)
Sergey Budkov, Kseniya Buraya, Andrey Filchenkov, Ivan Smetannikov, Antonina Puchkovskaia
RICH-CPL: Fact Extraction from Wikipedia-sized Corpora for Morphologically Rich Languages. FRUCT (2018)
Kseniya Buraya, Lidia Pivovarova, Sergey Budkov, Andrey Filchenkov
Towards Never Ending Language Learning for Morphologically Rich Languages. BSNLP@EACL (2017)
Kseniya Buraya, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua
Towards User Personality Profiling from Multiple Social Networks. AAAI (2017)
Igor Tanfilev, Andrey Filchenkov, Ivan Smetannikov
Feature selection algorithm ensembling based on meta-learning. CISP-BMEI (2017)
Alexey Zabashta, Andrey Filchenkov
NDSE: Instance Generation for Classification by Given Meta-Feature Description. AutoML@PKDD/ECML (2017)
Aleksandr Farseev, Ivan Samborskii, Andrey Filchenkov, Tat-Seng Chua
Cross-Domain Recommendation via Clustering on Multi-Layer Graphs. SIGIR (2017)
Evgeny Zamyatin, Andrey Filchenkov
Learning to Generate Chairs with Generative Adversarial Nets. CoRR (2017)
Kirill Kochetov, Evgeny Putin, Svyatoslav Azizov, Ilya Skorobogatov, Andrey Filchenkov
Wheeze Detection Using Convolutional Neural Networks. EPIA (2017)
Sergey Muravyov, Andrey Filchenkov
Meta-learning System for Automated Clustering. AutoML@PKDD/ECML (2017)
Viacheslav Shalamov, Andrey Filchenkov, Anatoly Shalyto
Genetic Search of Pickup and Delivery Problem Solutions for Self-driving Taxi Routing. AIAI (2016)
Alexey Zabashta, Ivan Smetannikov, Andrey Filchenkov
Rank Aggregation Algorithm Selection Meets Feature Selection. MLDM (2016)
Ivan Smetannikov, Ilya Isaev, Andrey Filchenkov
Reinforcement Learning Approach for Parallelization in Filters Aggregation Based Feature Selection Algorithms. CoRR (2016)
Valeria Efimova, Andrey Filchenkov, Anatoly Shalyto
Reinforcement-based Simultaneous Algorithm and its Hyperparameters Selection. CoRR (2016)
Valeria Efimova, Andrey Filchenkov, Anatoly Shalyto
Reinforcement-Based Simultaneous Algorithm and Its Hyperparameters Selection. IDP (2016)
Viacheslav Shalamov, Andrey Filchenkov, Daniil Chivilikhin
Small-Moves Based Mutation For Pick-Up And Delivery Problem. GECCO (Companion) (2016)
Alexey Zabashta, Ivan Smetannikov, Andrey Filchenkov
Study on Meta-Learning Approach Application in Rank Aggregation Algorithm Selection. MetaSel@PKDD/ECML (2015)
Andrey Filchenkov, Vladislav Dolganov, Ivan Smetannikov
PCA-based algorithm for feature score measures ensemble construction. ESANN (2015)