Andrey Filchenkov

Orcid: 0000-0002-1133-8432

According to our database1, Andrey Filchenkov authored at least 71 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Bid Landscape Forecasting and Cold Start Problem With Transformers.
IEEE Access, 2024

Neural Style Transfer for Vector Graphics.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Conditional Vector Graphics Generation for Music Cover Images.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023
Image Vectorization: a Review.
CoRR, 2023

Neural Style Transfer for Vector Graphics.
CoRR, 2023

New Bayesian Focal Loss Targeting Aleatoric Uncertainty Estimate: Pollen Image Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Minimalist Approach for Domain Adaptation with Optimal Transport.
Proceedings of the Conference on Lifelong Learning Agents, 2023

2022
Do we behave differently on Twitter and Facebook: Multi-view social network user personality profiling for content recommendation.
Frontiers Big Data, 2022

Multi-step domain adaptation by adversarial attack to H ΔH-divergence.
CoRR, 2022

Easy Batch Normalization.
CoRR, 2022

Connecting adversarial attacks and optimal transport for domain adaptation.
CoRR, 2022

Combating data incompetence in pollen images detection and classification for pollinosis prevention.
Comput. Biol. Medicine, 2022

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.
Proceedings of the 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022

2021
Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic Aleatoric Uncertainty Modeling.
CoRR, 2021

Realistic Text Replacement With Non-Uniform Style Conditioning.
IEEE Access, 2021

SoMin.ai: Personality-Driven Content Generation Platform.
Proceedings of the WSDM '21, 2021

Improving Multimodal Data Labeling with Deep Active Learning for Post Classification in Social Networks.
Proceedings of the MULL'21: Multimedia Understanding with Less Labeling on Multimedia Understanding with Less Labeling, 2021

Two-Faced Humans on Twitter and Facebook: Harvesting Social Multimedia for Human Personality Profiling.
Proceedings of the ICDAR@ICMR 2021: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval, 2021

Monte Carlo Concrete DropPath for Epistemic Uncertainty Estimation in Brain Tumor Segmentation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Solving Continuous Control with Episodic Memory.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Text-based sequential image generation.
Proceedings of the Fourteenth International Conference on Machine Vision, 2021

2020
Stabilizing Transformer-Based Action Sequence Generation For Q-Learning.
CoRR, 2020

I Know Where You Are Coming From: On the Impact of Social Media Sources on AI Model Performance.
CoRR, 2020

Exploring and Exploiting Conditioning of Reinforcement Learning Agents.
IEEE Access, 2020

Stabilization of Dataset Matrix Form for Classification Dataset Generation and Algorithm Selection.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Keypoint-based static object removal from photographs.
Proceedings of the Thirteenth International Conference on Machine Vision, 2020

Detection of Shocking Images as One-Class Classification Using Convolutional and Siamese Neural Networks.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

Implementing a Machine Learning Approach to Predicting Students' Academic Outcomes.
Proceedings of the CCRIS 2020: International Conference on Control, 2020

A Cloud-based Network of 3D Objects for Robust Grasp Planning.
Proceedings of the CCRIS 2020: International Conference on Control, 2020

Generative Adversarial Networks for Respiratory Sound Augmentation.
Proceedings of the CCRIS 2020: International Conference on Control, 2020

Graph Convolutional Network Based Generative Adversarial Networks for the Algorithm Selection Problem in Classification.
Proceedings of the CCRIS 2020: International Conference on Control, 2020

Joint Slot Filling and Intent Detection in Spoken Language Understanding by Hybrid CNN-LSTM Model.
Proceedings of the CCRIS 2020: International Conference on Control, 2020

A Machine Learning Based Plagiarism Detection in Source Code.
Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

Transgenerators.
Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

2019
Multi-agent deep learning for simultaneous optimization for time and energy in distributed routing system.
Future Gener. Comput. Syst., 2019

Heuristic and metaheuristic solutions of pickup and delivery problem for self-driving taxi routing.
Evol. Syst., 2019

Jacobian Policy Optimizations.
CoRR, 2019

Linear Distillation Learning.
CoRR, 2019

A machine learning based automatic folding of dynamically typed languages.
Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, 2019

Active Dataset Generation for Meta-learning System Quality Improvement.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Meta-learning Based Evolutionary Clustering Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Synthetic images generation for text detection and recognition in the wild.
Proceedings of the Twelfth International Conference on Machine Vision, 2019

Synthetic dataset generation for text recognition with generative adversarial networks.
Proceedings of the Twelfth International Conference on Machine Vision, 2019

Exploring the Relationship between the Structural and the Actual Similarities of Automata.
Proceedings of the 3rd International Conference on Machine Learning and Soft Computing, 2019

Skin Lesion Primary Morphology Classification With End-To-End Deep Learning Network.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2019

Generating Datasets for Classification Task and Predicting Best Classifiers with Conditional Generative Adversarial Networks.
Proceedings of the 3rd International Conference on Advances in Artificial Intelligence, 2019

Real-Time Bidding with Soft Actor-Critic Reinforcement Learning in Display Advertising.
Proceedings of the 25th Conference of Open Innovations Association, 2019

A Whole New Ball Game: Harvesting Game Data for Player Profiling.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Flow-Based Heuristic Algorithm for Network Operations Planning in Smart Grids.
Proceedings of the IECON 2018, 2018

Noise Masking Recurrent Neural Network for Respiratory Sound Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

RICH-CPL: Fact Extraction from Wikipedia-sized Corpora for Morphologically Rich Languages.
Proceedings of the 23rd Conference of Open Innovations Association, 2018

Formalization and Automated Detection of Tourist City Center Location.
Proceedings of the 23rd Conference of Open Innovations Association, 2018

Pollen grain recognition using convolutional neural network.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Person, Organization, or Personage: Towards User Account Type Prediction in Microblogs.
Proceedings of the Electronic Governance and Open Society: Challenges in Eurasia, 2018

Multi-view Personality Profiling Based on Longitudinal Data.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2018

Estimation of the influence of spiking neural network parameters on classification accuracy using a genetic algorithm.
Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018

2017
Learning to Generate Chairs with Generative Adversarial Nets.
CoRR, 2017

Cross-Domain Recommendation via Clustering on Multi-Layer Graphs.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

NDSE: Instance Generation for Classification by Given Meta-Feature Description.
Proceedings of the International Workshop on Automatic Selection, 2017

Meta-learning System for Automated Clustering.
Proceedings of the International Workshop on Automatic Selection, 2017

Wheeze Detection Using Convolutional Neural Networks.
Proceedings of the Progress in Artificial Intelligence, 2017

Feature selection algorithm ensembling based on meta-learning.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Towards Never Ending Language Learning for Morphologically Rich Languages.
Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing, 2017

Towards User Personality Profiling from Multiple Social Networks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Reinforcement Learning Approach for Parallelization in Filters Aggregation Based Feature Selection Algorithms.
CoRR, 2016

Rank Aggregation Algorithm Selection Meets Feature Selection.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Genetic Search of Pickup and Delivery Problem Solutions for Self-driving Taxi Routing.
Proceedings of the Artificial Intelligence Applications and Innovations, 2016

Reinforcement-Based Simultaneous Algorithm and Its Hyperparameters Selection.
Proceedings of the Intelligent Data Processing, 11th International Conference, 2016

Small-Moves Based Mutation For Pick-Up And Delivery Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
Study on Meta-Learning Approach Application in Rank Aggregation Algorithm Selection.
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015

PCA-based algorithm for feature score measures ensemble construction.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015


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