PCA-based algorithm for feature score measures ensemble construction. - Andrey Filchenkov; Vladislav Dolganov; Ivan Smetannikov (ESANN, 2015)

Study on Meta-Learning Approach Application in Rank Aggregation Algorithm Selection. - Alexey Zabashta; Ivan Smetannikov; Andrey Filchenkov (MetaSel@PKDD/ECML, 2015)

Small-Moves Based Mutation For Pick-Up And Delivery Problem. - Viacheslav Shalamov; Andrey Filchenkov; Daniil Chivilikhin (GECCO (Companion), 2016)

Reinforcement-Based Simultaneous Algorithm and Its Hyperparameters Selection. - Valeria Efimova; Andrey Filchenkov; Anatoly Shalyto 001 (IDP, 2016)

Genetic Search of Pickup and Delivery Problem Solutions for Self-driving Taxi Routing. - Viacheslav Shalamov; Andrey Filchenkov; Anatoly Shalyto 001 (AIAI, 2016)

Rank Aggregation Algorithm Selection Meets Feature Selection. - Alexey Zabashta; Ivan Smetannikov; Andrey Filchenkov (MLDM, 2016)

Reinforcement Learning Approach for Parallelization in Filters Aggregation Based Feature Selection Algorithms. - Ivan Smetannikov; Ilya Isaev; Andrey Filchenkov (CoRR, 2016)

Towards User Personality Profiling from Multiple Social Networks. - Kseniya Buraya; Aleksandr Farseev; Andrey Filchenkov; Tat-Seng Chua (AAAI, 2017)

Towards Never Ending Language Learning for Morphologically Rich Languages. - Kseniya Buraya; Lidia Pivovarova; Sergey Budkov; Andrey Filchenkov (BSNLP@EACL, 2017)

Feature selection algorithm ensembling based on meta-learning. - Igor Tanfilev; Andrey Filchenkov; Ivan Smetannikov (CISP-BMEI, 2017)

Wheeze Detection Using Convolutional Neural Networks. - Kirill Kochetov; Evgeny Putin; Svyatoslav Azizov; Ilya Skorobogatov; Andrey Filchenkov (EPIA, 2017)

Meta-learning System for Automated Clustering. - Sergey Muravyov; Andrey Filchenkov (AutoML@PKDD/ECML, 2017)

NDSE: Instance Generation for Classification by Given Meta-Feature Description. - Alexey Zabashta; Andrey Filchenkov (AutoML@PKDD/ECML, 2017)

Cross-Domain Recommendation via Clustering on Multi-Layer Graphs. - Aleksandr Farseev; Ivan Samborskii; Andrey Filchenkov; Tat-Seng Chua (SIGIR, 2017)

Learning to Generate Chairs with Generative Adversarial Nets. - Evgeny Zamyatin; Andrey Filchenkov (CoRR, 2017)

Estimation of the influence of spiking neural network parameters on classification accuracy using a genetic algorithm. - Aleksandr Sboev; Alexey Serenko; Roman B. Rybka; Danila Vlasov; Andrey Filchenkov (BICA, 2018)

Multi-view Personality Profiling Based on Longitudinal Data. - Kseniya Buraya; Aleksandr Farseev; Andrey Filchenkov (CLEF, 2018)

Person, Organization, or Personage: Towards User Account Type Prediction in Microblogs. - Ivan Samborskii; Andrey Filchenkov; Georgiy Korneev; Aleksandr Farseev (EGOSE, 2018)

Pollen grain recognition using convolutional neural network. - Natalia Khanzhina; Evgeny Putin; Andrey Filchenkov; Elena Zamyatina (ESANN, 2018)

Formalization and Automated Detection of Tourist City Center Location. - Ruslan Akhundov; Andrey Filchenkov; Vladimir Gorovoy (FRUCT, 2018)

RICH-CPL: Fact Extraction from Wikipedia-sized Corpora for Morphologically Rich Languages. - Sergey Budkov; Kseniya Buraya; Andrey Filchenkov; Ivan Smetannikov; Antonina Puchkovskaia (FRUCT, 2018)

Noise Masking Recurrent Neural Network for Respiratory Sound Classification. - Kirill Kochetov; Evgeny Putin; Maksim Balashov; Andrey Filchenkov; Anatoly Shalyto 001 (ICANN (3), 2018)

A Flow-Based Heuristic Algorithm for Network Operations Planning in Smart Grids. - George Davidescu; Andrey Filchenkov; Amir Muratov; Valeriy Vyatkin (IECON, 2018)

A Whole New Ball Game: Harvesting Game Data for Player Profiling. - Ivan Samborskii; Aleksandr Farseev; Andrey Filchenkov; Tat-Seng Chua (AAAI, 2019)

Real-Time Bidding with Soft Actor-Critic Reinforcement Learning in Display Advertising. - Daria Yakovleva; Artem Popov; Andrey Filchenkov (FRUCT, 2019)

Generating Datasets for Classification Task and Predicting Best Classifiers with Conditional Generative Adversarial Networks. - Ilya Kachalsky; Alexey Zabashta; Andrey Filchenkov; Georgiy Korneev (ICAAI, 2019)

Skin Lesion Primary Morphology Classification With End-To-End Deep Learning Network. - Tatyana Polevaya; Roman Ravodin; Andrey Filchenkov (ICAIIC, 2019)

Exploring the Relationship between the Structural and the Actual Similarities of Automata. - Petr Grachev; Roman Bezborodov; Ivan Smetannikov; Andrey Filchenkov (ICMLSC, 2019)

Synthetic dataset generation for text recognition with generative adversarial networks. - Valeria Efimova; Viacheslav Shalamov; Andrey Filchenkov (ICMV, 2019)

Synthetic images generation for text detection and recognition in the wild. - Natalia Khanzhina; Natalia Slepkova; Andrey Filchenkov (ICMV, 2019)

Meta-learning Based Evolutionary Clustering Algorithm. - Dmitry Tomp; Sergey Muravyov; Andrey Filchenkov; Vladimir Parfenov (IDEAL (1), 2019)

Active Dataset Generation for Meta-learning System Quality Improvement. - Alexey Zabashta; Andrey Filchenkov (IDEAL (1), 2019)

A machine learning based automatic folding of dynamically typed languages. - Nickolay Viuginov; Andrey Filchenkov (MaLTeSQuE@ESEC/SIGSOFT FSE, 2019)

Linear Distillation Learning. - Arip Asadulaev; Igor Kuznetsov; Andrey Filchenkov (CoRR, 2019)

Jacobian Policy Optimizations. - Arip Asadulaev; Gideon Stein; Igor Kuznetsov; Andrey Filchenkov (CoRR, 2019)

Heuristic and metaheuristic solutions of pickup and delivery problem for self-driving taxi routing. - Viacheslav Shalamov; Andrey Filchenkov; Anatoly Shalyto 001 (Evol. Syst., 2019)

Multi-agent deep learning for simultaneous optimization for time and energy in distributed routing system. - Dmitry Mukhutdinov; Andrey Filchenkov; Anatoly Shalyto 001; Valeriy Vyatkin (Future Gener. Comput. Syst., 2019)

Transgenerators. - Arip Asadulaev; Gideon Stein; Andrey Filchenkov (ACAI, 2020)

A Machine Learning Based Plagiarism Detection in Source Code. - Nickolay Viuginov; Petr Grachev; Andrey Filchenkov (ACAI, 2020)

Joint Slot Filling and Intent Detection in Spoken Language Understanding by Hybrid CNN-LSTM Model. - Moath Al Ali; Bassel Zaity; Pavel D. Drobintsev; Hazem Wannous; Igor Chernoruckiy; Andrey Filchenkov (CCRIS, 2020)

Graph Convolutional Network Based Generative Adversarial Networks for the Algorithm Selection Problem in Classification. - Gleb Drozdov; Alexey Zabashta; Andrey Filchenkov (CCRIS, 2020)

Generative Adversarial Networks for Respiratory Sound Augmentation. - Kirill Kochetov; Andrey Filchenkov (CCRIS, 2020)

A Cloud-based Network of 3D Objects for Robust Grasp Planning. - Sergey Muravyov; Andrey Filchenkov (CCRIS, 2020)

Implementing a Machine Learning Approach to Predicting Students' Academic Outcomes. - 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; et al. (CCRIS, 2020)

Detection of Shocking Images as One-Class Classification Using Convolutional and Siamese Neural Networks. - Pavel Gulyaev; Andrey Filchenkov (EANN, 2020)

Keypoint-based static object removal from photographs. - Viacheslav Shalamov; Andrey Filchenkov (ICMV, 2020)

Stabilization of Dataset Matrix Form for Classification Dataset Generation and Algorithm Selection. - Ilya Sahipov; Alexey Zabashta; Andrey Filchenkov (IDEAL (2), 2020)

Exploring and Exploiting Conditioning of Reinforcement Learning Agents. - Arip Asadulaev; Igor Kuznetsov; Gideon Stein; Andrey Filchenkov (IEEE Access, 2020)

I Know Where You Are Coming From: On the Impact of Social Media Sources on AI Model Performance. - Qi Yang 005; Aleksandr Farseev; Andrey Filchenkov (CoRR, 2020)

Stabilizing Transformer-Based Action Sequence Generation For Q-Learning. - Gideon Stein; Andrey Filchenkov; Arip Asadulaev (CoRR, 2020)

Text-based sequential image generation. - Valeria Efimova; Andrey Filchenkov (ICMV, 2021)

Solving Continuous Control with Episodic Memory. - Igor Kuznetsov; Andrey Filchenkov (IJCAI, 2021)

Monte Carlo Concrete DropPath for Epistemic Uncertainty Estimation in Brain Tumor Segmentation. - Natalia Khanzhina; Maxim Kashirin; Andrey Filchenkov (UNSURE/PIPPI@MICCAI, 2021)

Two-Faced Humans on Twitter and Facebook: Harvesting Social Multimedia for Human Personality Profiling. - Qi Yang 005; Aleksandr Farseev; Andrey Filchenkov (ICDAR@ICMR, 2021)

Improving Multimodal Data Labeling with Deep Active Learning for Post Classification in Social Networks. - Dmitry Krylov; Semen Poliakov; Natalia Khanzhina; Alexey Zabashta; Andrey Filchenkov; Aleksandr Farseev (MULL @ ACM Multimedia, 2021)

SoMin.ai: Personality-Driven Content Generation Platform. - Aleksandr Farseev; Qi Yang 005; Andrey Filchenkov; Kirill Lepikhin; Yu-Yi Chu-Farseeva; Daron-Benjamin Loo (WSDM, 2021)

Realistic Text Replacement With Non-Uniform Style Conditioning. - Arseny Nerinovsky; Igor Buzhinsky; Andrey Filchenkov (IEEE Access, 2021)

Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic Aleatoric Uncertainty Modeling. - Natalia Khanzhina; Alexey Lapenok; Andrey Filchenkov (CoRR, 2021)

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. - Valeria Efimova; Viacheslav Shalamov; Andrey Filchenkov (AIPR, 2022)

Combating data incompetence in pollen images detection and classification for pollinosis prevention. - Natalia Khanzhina; Andrey Filchenkov; Natalia Minaeva; Larisa Novoselova; Maxim V. Petukhov; Irina Kharisova; Julia Pinaeva; Georgiy Zamorin; Evgeny Putin; Elena Zamyatina; Anatoly Shalyto 001 (Comput. Biol. Medicine, 2022)

Connecting adversarial attacks and optimal transport for domain adaptation. - Arip Asadulaev; Vitaly Shutov; Alexander Korotin; Alexander Panfilov; Andrey Filchenkov (CoRR, 2022)

Easy Batch Normalization. - Arip Asadulaev; Alexander Panfilov; Andrey Filchenkov (CoRR, 2022)

Multi-step domain adaptation by adversarial attack to H ΔH-divergence. - Arip Asadulaev; Alexander Panfilov; Andrey Filchenkov (CoRR, 2022)

Do we behave differently on Twitter and Facebook: Multi-view social network user personality profiling for content recommendation. - Qi Yang 005; Aleksandr Farseev; Sergey I. Nikolenko; Andrey Filchenkov (Frontiers Big Data, 2022)

A Minimalist Approach for Domain Adaptation with Optimal Transport. - Arip Asadulaev; Vitaly Shutov; Alexander Korotin; Alexander Panfilov; Vladislava Kontsevaya; Andrey Filchenkov (CoLLAs, 2023)

New Bayesian Focal Loss Targeting Aleatoric Uncertainty Estimate: Pollen Image Recognition. - Natalia Khanzhina; Maxim Kashirin; Andrey Filchenkov (CVPR Workshops, 2023)

Neural Style Transfer for Vector Graphics. - Valeria Efimova; Artyom Chebykin; Ivan Jarsky; Evgenii Prosvirnin; Andrey Filchenkov (CoRR, 2023)

Image Vectorization: a Review. - Maria Dziuba; Ivan Jarsky; Valeria Efimova; Andrey Filchenkov (CoRR, 2023)

Rethinking Optimal Transport in Offline Reinforcement Learning. - Arip Asadulaev; Rostislav Korst; Aleksandr Korotin; Vage Egiazarian; Andrey Filchenkov; Evgeny Burnaev (NeurIPS, 2024)

Conditional Vector Graphics Generation for Music Cover Images. - Ivan Jarsky; Valeria Efimova; Ilya Bizyaev; Andrey Filchenkov (VISIGRAPP (2): VISAPP, 2024)

Neural Style Transfer for Vector Graphics. - Ivan Jarsky; Valeria Efimova; Artyom Chebykin; Viacheslav Shalamov; Andrey Filchenkov (VISIGRAPP (3): VISAPP, 2024)

Bid Landscape Forecasting and Cold Start Problem With Transformers. - Daria Yakovleva; Sergei Telnov; Ilya Makarov; Andrey Filchenkov (IEEE Access, 2024)

VectorWeaver: Transformers-Based Diffusion Model for Vector Graphics Generation. - Ivan Jarsky; Maxim Kuzin; Valeria Efimova; Viacheslav Shalamov; Andrey Filchenkov (VISIGRAPP (2): VISAPP, 2025)