A. Filchenkov

发表

Interpretable Few-Shot Learning via Linear Distillation

Arip Asadulaev, Igor Kuznetsov, A. Filchenkov, 2019 .

Artificial Intelligence and Natural Language: 9th Conference, AINL 2020, Helsinki, Finland, October 7–9, 2020, Proceedings

Raquel Oliveira Prates, T. Washio, D. Ślęzak, 2020, Communications in Computer and Information Science.

Joint Slot Filling and Intent Detection in Spoken Language Understanding by Hybrid CNN-LSTM Model

H. Wannous, A. Filchenkov, Bassel Zaity, 2020, CCRIS.

What is more predictable in social media: Election outcome or protest action?

Andrey A. Filchenkov, Maxim V. Abramov, Artur A. Azarov, 2014, EGOSE '14.

Artificial Intelligence and Natural Language: 8th Conference, AINL 2019, Tartu, Estonia, November 20–22, 2019, Proceedings

Junsong Yuan, T. Washio, D. Ślęzak, 2019, Communications in Computer and Information Science.

Implementing a Machine Learning Approach to Predicting Students’ Academic Outcomes

A. Filchenkov, V. Kazakovtsev, I. Smetannikov, 2020, CCRIS.

Towards User Personality Profiling from Multiple Social Networks

Tat-Seng Chua, Andrey Filchenkov, Aleksandr Farseev, 2017, AAAI.

Do we behave differently on Twitter and Facebook: Multi-view social network user personality profiling for content recommendation

Qi Yang, S. Nikolenko, A. Filchenkov, 2022, Frontiers in Big Data.

Multi-step domain adaptation by adversarial attack to H ΔH-divergence

Arip Asadulaev, A. Filchenkov, Alexander Panfilov, 2022, ArXiv.

Coincidence of the sets of minimal and irreducible join graphs over primary structure of algebraic Bayesian networks

A. L. Tulupyev, A. Filchenkov, 2012, Vestnik St. Petersburg University: Mathematics.

Connecting adversarial attacks and optimal transport for domain adaptation

Arip Asadulaev, A. Filchenkov, V. Shutov, 2022, ArXiv.

Meta-learning Based Evolutionary Clustering Algorithm

Andrey Filchenkov, Sergey Muravyov, Dmitry Tomp, 2019, IDEAL.

Cross-Domain Recommendation via Clustering on Multi-Layer Graphs

Tat-Seng Chua, Andrey Filchenkov, Aleksandr Farseev, 2017, SIGIR.

Two-Faced Humans on Twitter and Facebook: Harvesting Social Multimedia for Human Personality Profiling

Andrey Filchenkov, Aleksandr Farseev, Qi Yang, 2021, ICDAR@ICMR.

Combating data incompetence in pollen images detection and classification for pollinosis prevention

Andrey Filchenkov, Evgeny Putin, Anatoly Shalyto, 2021, Comput. Biol. Medicine.

Noise Masking Recurrent Neural Network for Respiratory Sound Classification

Andrey Filchenkov, Evgeny Putin, Anatoly Shalyto, 2018, ICANN.

Wheeze Detection Using Convolutional Neural Networks

Andrey Filchenkov, Evgeny Putin, Kirill Kochetov, 2017, EPIA.

Four Keys to Topic Interpretability in Topic Modeling

Andrey Mavrin, Andrey Filchenkov, Sergei Koltcov, 2018, AINL 2018.

Keypoint-based static object removal from photographs

Andrey Filchenkov, Alexandr Volkov, Valeria Efimova, 2021, International Conference on Machine Vision.

Generating Datasets for Classification Task and Predicting Best Classifiers with Conditional Generative Adversarial Networks

Andrey Filchenkov, Alexey Zabashta, Georgiy Korneev, 2019, ICAAI.

Using Linguistic Activity in Social Networks to Predict and Interpret Dark Psychological Traits

Andrey Filchenkov, Marina Dubova, Arseny Moskvichev, 2017 .

Solving Continuous Control with Episodic Memory pdf

Andrey Filchenkov, Igor Kuznetsov, Igor Kuznetsov, 2021, IJCAI.

Exploring and Exploiting Conditioning of Reinforcement Learning Agents

Andrey Filchenkov, Arip Asadulaev, Igor Kuznetsov, 2020, IEEE Access.

Multi-view Personality Profiling Based on Longitudinal Data

Andrey Filchenkov, Aleksandr Farseev, Kseniya Buraya, 2018, CLEF.

Application of deep learning to the problem of vehicle detection in UAV images

Andrey A. Filchenkov, E. O. Putin, Georgy V. Konoplich, 2016, 2016 XIX IEEE International Conference on Soft Computing and Measurements (SCM).

Proceedings of Artificial Intelligence and Natural Language AINL FRUCT 2016 Conference

Sergey Balandin, Lidia Pivovarova, Jan Zizka, 2016 .

Reinforcement-based Method for Simultaneous Clustering Algorithm Selection and its Hyperparameters Optimization

Viacheslav Shalamov, Andrey Filchenkov, Sergey Muravyov, 2018 .

Real-Time Bidding with Soft Actor-Critic Reinforcement Learning in Display Advertising

Andrey Filchenkov, Artem Popov, Daria Yakovleva, 2019, 2019 25th Conference of Open Innovations Association (FRUCT).

Deep Learning and Pseudo-Labeling for Ore Granulometry

A. Filchenkov, Mariia Rumiantceva, 2022, Procedia Computer Science.

Transgenerators

Arip Asadulaev, A. Filchenkov, Gideon Stein, 2020, ACAI.

Meta-learning System for Automated Clustering

Andrey Filchenkov, Sergey Muravyov, A. Filchenkov, 2017, AutoML@PKDD/ECML.

Multi-agent deep learning for simultaneous optimization for time and energy in distributed routing system

Valeriy Vyatkin, Andrey Filchenkov, Anatoly Shalyto, 2019, Future Gener. Comput. Syst..

Linear Distillation Learning pdf

Andrey Filchenkov, Arip Asadulaev, Igor Kuznetsov, 2019, ArXiv.

Artificial Intelligence and Natural Language

Andrey Filchenkov, Jan Žižka, Lidia Pivovarova, 2017, Communications in Computer and Information Science.

Synthetic dataset generation for text recognition with generative adversarial networks

Andrey Filchenkov, Valeria Efimova, Viacheslav Shalamov, 2020, International Conference on Machine Vision.

Detection of Shocking Images as One-Class Classification Using Convolutional and Siamese Neural Networks

Andrey Filchenkov, Pavel Gulyaev, A. Filchenkov, 2020, EANN.

Regularization of Autoencoders for Bank Client Profiling Based on Financial Transactions

Andrey Filchenkov, Ivan Smetannikov, Natalia Khanzhina, 2021, Risks.

A method of measuring quality of algorithm in stream structure from Motion applied to aerial photography

Dmitriy Yu Stoyanov, Andrey A. Filchenkov, Anton S. Gedertsev, 2016, 2016 XIX IEEE International Conference on Soft Computing and Measurements (SCM).

Active Adaptation of Expert-Based Suggestions in Ladieswear Recommender System LookBooksClub via Reinforcement Learning

Andrey Filchenkov, Nikita Golubtsov, Daniel Galper, 2016 .

Stabilizing Transformer-Based Action Sequence Generation For Q-Learning

Arip Asadulaev, A. Filchenkov, Gideon Stein, 2020, ArXiv.

DropFilter for Uncertainty Estimation in Brain Tumor Segmentation

A. Filchenkov, N. Khanzhina, P. Ulyanov, 2021 .

Monte Carlo Concrete DropPath for Epistemic Uncertainty Estimation in Brain Tumor Segmentation

Andrey Filchenkov, Natalia Khanzhina, Maxim Kashirin, 2021, UNSURE/PIPPI@MICCAI.

Person, Organization, or Personage: Towards User Account Type Prediction in Microblogs

Andrey Filchenkov, Ivan Samborskii, Georgiy Korneev, 2018, EGOSE.

A Machine Learning Based Plagiarism Detection in Source Code

A. Filchenkov, P. Grachev, N. Viuginov, 2020, ACAI.

NDSE : Method for Classification Instance Generation Given Meta-Feature Description

Andrey Filchenkov, Alexey Zabashta, A. Filchenkov, 2017 .

Formalization and Automated Detection of Tourist City Center Location

Andrey Filchenkov, Vladimir Gorovoy, Ruslan Akhundov, 2018, 2018 23rd Conference of Open Innovations Association (FRUCT).

Artificial Intelligence and Natural Language

A. Filchenkov, Dmitry Ustalov, Lidia Pivovarova, 2018, Communications in Computer and Information Science.

Rank Aggregation Algorithm Selection Meets Feature Selection

Andrey Filchenkov, Alexey Zabashta, Ivan Smetannikov, 2016, MLDM.