Ilya Makarov

Orcid: 0000-0002-3308-8825

According to our database1, Ilya Makarov authored at least 113 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
GEEF: A neural network model for automatic essay feedback generation by integrating writing skills assessment.
Expert Syst. Appl., 2024

Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update.
CoRR, 2024

Aligning Diffusion Models with Noise-Conditioned Perception.
CoRR, 2024

The Good, the Bad, and the Hulk-like GPT: Analyzing Emotional Decisions of Large Language Models in Cooperation and Bargaining Games.
CoRR, 2024

Adversarial Attacks and Defenses in Automated Control Systems: A Comprehensive Benchmark.
CoRR, 2024

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

From Esperanto to Volapük: Interpretable Graph Features for Assessing Linguistic Complexity in Constructed Languages.
IEEE Access, 2024

Inpainting Semantic and Depth Features to Improve Visual Place Recognition in the Wild.
IEEE Access, 2024

Graph Neural Networks With Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data.
IEEE Access, 2024

Refining the ONCE Benchmark With Hyperparameter Tuning.
IEEE Access, 2024

Utterance-Aware Adaptive Data Labeling and Summarization: Exploiting Large Language Models for Unbiased Dialog Annotation.
IEEE Access, 2024

AADMIP: Adversarial Attacks and Defenses Modeling in Industrial Processes.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Do You Remember the Future? Weak-to-Strong Generalization in 3D Object Detection.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Device-Specific Facial Descriptors: Winning a Lottery with a SuperNet.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

InsideOut: Unifying Emotional LLMs to Foster Empathy.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

CA-SER: Cross-Attention Feature Fusion for Speech Emotion Recognition.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Weak-to-Strong 3D Object Detection with X-Ray Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes.
Artif. Intell., November, 2023

Interaction models for remaining useful lifetime estimation.
J. Ind. Inf. Integr., 2023

Interaction models for remaining useful life estimation.
CoRR, 2023

Scalable Zero-Shot Logo Recognition.
IEEE Access, 2023

Fast Search of Face Recognition Model for a Mobile Device Based on Neural Architecture Comparator.
IEEE Access, 2023

Predicting Molecule Toxicity via Descriptor-Based Graph Self-Supervised Learning.
IEEE Access, 2023

Robust Manga Page Colorization via Coloring Latent Space.
IEEE Access, 2023

Dealing With Sparse Rewards Using Graph Neural Networks.
IEEE Access, 2023

Comparative Analysis of Logic Reasoning and Graph Neural Networks for Ontology-Mediated Query Answering With a Covering Axiom.
IEEE Access, 2023

Fast Approximate Convex Hull Construction in Networks via Node Embedding.
IEEE Access, 2023

Financial Trading via Reinforcement Learning and Convolutional Neural Networks.
Proceedings of the 21st IEEE Jubilee International Symposium on Intelligent Systems and Informatics, 2023

Ti-DC-GNN: Incorporating Time-Interval Dual Graphs for Recommender Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Efficient Blind Image Super-Resolution.
Proceedings of the Advances in Computational Intelligence, 2023

LAPUSKA: Fast Image Super-Resolution via LAPlacian UpScale Knowledge Alignment.
Proceedings of the Advances in Computational Intelligence, 2023

Chemistry-Wise Augmentations for Molecule Graph Self-supervised Representation Learning.
Proceedings of the Advances in Computational Intelligence, 2023

Iterative Graph Embedding and Clustering.
Proceedings of the Advances in Computational Intelligence, 2023

Long-Term Hail Risk Assessment with Deep Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2023

Efficient Transformer for Video Summarization.
Proceedings of the Advances in Computational Intelligence, 2023

A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-by-Humming Task.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

SwiftDepth: An Efficient Hybrid CNN-Transformer Model for Self-Supervised Monocular Depth Estimation on Mobile Devices.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2023

MonoVAN: Visual Attention for Self-Supervised Monocular Depth Estimation.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2023

Semantic-Aware GAN Manipulations for Human Face Editing.
Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2023

Whether Large Language Models Learn at the Inference Stage? Effects of Active Learning and Labelling with LLMs on their Reasoning.
Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2023

Gesture Recognition on Video Data.
Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2023

Application of Multimodal Machine Learning for Image Recommendation Systems.
Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2023

2022
Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network.
IEEE Trans. Affect. Comput., 2022

Temporal network embedding framework with causal anonymous walks representations.
PeerJ Comput. Sci., 2022

Self-supervised recurrent depth estimation with attention mechanisms.
PeerJ Comput. Sci., 2022

Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data.
CoRR, 2022

Long-term hail risk assessment with deep neural networks.
CoRR, 2022

Exploration in Sequential Recommender Systems via Graph Representations.
IEEE Access, 2022

Multi-modal RGBD Attention Fusion for Dense Depth Estimation.
Proceedings of the 20th Jubilee International Symposium on Intelligent Systems and Informatics, 2022

Attention-based Models in Self-supervised Monocular Depth Estimation.
Proceedings of the 20th Jubilee International Symposium on Intelligent Systems and Informatics, 2022

Multi-Modal Deep Reinforcement Learning in ViZDoom with Audio Component.
Proceedings of the 20th Jubilee International Symposium on Intelligent Systems and Informatics, 2022

Curiosity-driven Exploration in VizDoom.
Proceedings of the 20th Jubilee International Symposium on Intelligent Systems and Informatics, 2022

Exploring Efficiency of Vision Transformers for Self-Supervised Monocular Depth Estimation.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2022

2021
Fusion of text and graph information for machine learning problems on networks.
PeerJ Comput. Sci., 2021

Survey on graph embeddings and their applications to machine learning problems on graphs.
PeerJ Comput. Sci., 2021

Fault detection in Tennessee Eastman process with temporal deep learning models.
J. Ind. Inf. Integr., 2021

Temporal Graph Network Embedding with Causal Anonymous Walks Representations.
CoRR, 2021

Epidemic modelling of multiple virus strains: a case study of SARS-CoV-2 B.1.1.7 in Moscow.
CoRR, 2021

Hotel Recognition via Latent Image Embedding.
CoRR, 2021

JONNEE: Joint Network Nodes and Edges Embedding.
IEEE Access, 2021

Hotel Recognition via Latent Image Embeddings.
Proceedings of the Advances in Computational Intelligence, 2021

Fast Depth Reconstruction Using Deep Convolutional Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2021

Instagram Hashtag Prediction Using Deep Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2021

Deep Reinforcement Learning in VizDoom via DQN and Actor-Critic Agents.
Proceedings of the Advances in Computational Intelligence, 2021

Depth Inpainting via Vision Transformer.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2021

Depression Detection by Person's Voice.
Proceedings of the Analysis of Images, Social Networks and Texts, 2021

Outfit Recommendation using Graph Neural Networks via Visual Similarity.
Proceedings of the Analysis of Images, Social Networks and Texts, 2021

Transformer-Based Deep Reinforcement Learning in VizDoom.
Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2021

Context-Based Text-Graph Embeddings in Word-Sense Induction Tasks.
Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2021

Research Papers Recommendation.
Proceedings of the Analysis of Images, Social Networks and Texts, 2021

2020
Online supervised attention-based recurrent depth estimation from monocular video.
PeerJ Comput. Sci., 2020

Real-Time 3D Model Reconstruction and Mapping for Fashion.
Proceedings of the 43rd International Conference on Telecommunications and Signal Processing, 2020

Community Detection Based on the Nodes Role in a Network: The Telegram Platform Case.
Proceedings of the Analysis of Images, Social Networks and Texts, 2020

Prediction of News Popularity via Keywords Extraction and Trends Tracking.
Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2020

Federated Learning in Named Entity Recognition.
Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2020

Automated Image and Video Quality Assessment for Computational Video Editing.
Proceedings of the Analysis of Images, Social Networks and Texts, 2020

Semi-automatic Manga Colorization Using Conditional Adversarial Networks.
Proceedings of the Analysis of Images, Social Networks and Texts, 2020

Human Action Recognition for Boxing Training Simulator.
Proceedings of the Analysis of Images, Social Networks and Texts, 2020

2019
Dual network embedding for representing research interests in the link prediction problem on co-authorship networks.
PeerJ Comput. Sci., 2019

Russian Sign Language Dactyl Recognition.
Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019

Predicting Collaborations in Co-authorship Network.
Proceedings of the 14th International Workshop on Semantic and Social Media Adaptation and Personalization, 2019

American and russian sign language dactyl recognition.
Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019

On Reproducing Semi-dense Depth Map Reconstruction using Deep Convolutional Neural Networks with Perceptual Loss.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Link Prediction Regression for Weighted Co-authorship Networks.
Proceedings of the Advances in Computational Intelligence, 2019

Deep Reinforcement Learning in Match-3 Game.
Proceedings of the IEEE Conference on Games, 2019

American and Russian Sign Language Dactyl Recognition and Text2Sign Translation.
Proceedings of the Analysis of Images, Social Networks and Texts, 2019

Prediction of New Itinerary Markets for Airlines via Network Embedding.
Proceedings of the Analysis of Images, Social Networks and Texts, 2019

Deep Reinforcement Learning Methods in Match-3 Game.
Proceedings of the Analysis of Images, Social Networks and Texts, 2019

2018
A novel autonomous taxi model for smart cities.
Proceedings of the 4th IEEE World Forum on Internet of Things, 2018

Super-resolution of interpolated downsampled semi-dense depth map.
Proceedings of the 23rd International ACM Conference on 3D Web Technology, 2018

Sparse Depth Map Interpolation using Deep Convolutional Neural Networks.
Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

Realistic post-processing of rendered 3D scenes.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2018

Fast Semi-dense Depth Map Estimation.
Proceedings of the 2018 ACM Workshop on Multimedia for Real Estate Tech, 2018

Recommending Co-authorship via Network Embeddings and Feature Engineering: The case of National Research University Higher School of Economics.
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018

Fast Depth Map Super-Resolution Using Deep Neural Network.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2018

Improving Picture Quality with Photo-Realistic Style Transfer.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Voronoi-based Path Planning based on Visibility and Kill/Death RatioTactical Component.
Proceedings of the Supplementary Proceedings of the Seventh International Conference on Analysis of Images, Social Networks and Texts (AIST 2018), Moscow, Russia, July 5, 2018

Co-authorship Network Embedding and Recommending Collaborators via Network Embedding.
Proceedings of the Analysis of Images, Social Networks and Texts, 2018

Joint Node-Edge Network Embedding for Link Prediction.
Proceedings of the Analysis of Images, Social Networks and Texts, 2018

2017
Semi-Dense Depth Interpolation using Deep Convolutional Neural Networks.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Depth Map Interpolation Using Perceptual Loss.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2017

Adapting First-Person Shooter Video Game for Playing with Virtual Reality Headsets.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Logic of Existentialism in Fiction.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Predicting Winning Team and Probabilistic Ratings in "Dota 2" and "Counter-Strike: Global Offensive" Video Games.
Proceedings of the Analysis of Images, Social Networks and Texts, 2017

Learning to Play Pong Video Game via Deep Reinforcement Learning.
Proceedings of the Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST 2017), Moscow, Russia, July 27, 2017

Scientific Matchmaker: Collaborator Recommender System.
Proceedings of the Analysis of Images, Social Networks and Texts, 2017

2016
First-Person Shooter Game for Virtual Reality Headset with Advanced Multi-Agent Intelligent System.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Modelling Human-like Behavior through Reward-based Approach in a First-Person Shooter Game.
Proceedings of the Third Workshop on Experimental Economics and Machine Learning co-located with the 13th International Conference on Concept Lattices and Their Applications (CLA 2016), 2016

Smoothing Voronoi-Based Path with Minimized Length and Visibility Using Composite Bezier Curves.
Proceedings of the Supplementary Proceedings of the Fifth International Conference on Analysis of Images, 2016

2015
Existence of Finite Total Equivalence Systems for Certain Closed Classes of 3-Valued Logic Functions.
Logica Universalis, 2015

Imitation of Human Behavior in 3D-Shooter game.
Proceedings of the Supplementary Proceedings of the 4th International Conference on Analysis of Images, 2015


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