Evgeny Burnaev

Orcid: 0000-0001-8424-0690

Affiliations:
  • Skolkovo Institute of Science and Technology (Skoltech), Russia
  • Russian Academy of Sciences, Kharkevich Institute for Information Transmission Problems, Moscow, Russia (2009 - 2018)
  • Moscow Institute of Physics and Technology, Russia (former)


According to our database1, Evgeny Burnaev authored at least 244 papers between 2013 and 2025.

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

Timeline

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Bibliography

2025
A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology.
Inf. Sci., 2025

Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images.
Inf. Sci., 2025

2024
Pose estimation in robotic electric vehicle plug-in charging tasks using auto-annotation and deep learning-based keypoint detector.
Eng. Appl. Artif. Intell., 2024

EBES: Easy Benchmarking for Event Sequences.
CoRR, 2024

Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization.
CoRR, 2024

Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting.
CoRR, 2024

Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA.
CoRR, 2024

GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs.
CoRR, 2024

Scalar Function Topology Divergence: Comparing Topology of 3D Objects.
CoRR, 2024

AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents.
CoRR, 2024

A3D: Does Diffusion Dream about 3D Alignment?
CoRR, 2024

Adversarial Schrödinger Bridge Matching.
CoRR, 2024

Self-Supervised Learning in Event Sequences: A Comparative Study and Hybrid Approach of Generative Modeling and Contrastive Learning.
CoRR, 2024

SeqNAS: Neural Architecture Search for Event Sequence Classification.
IEEE Access, 2024

QuantNAS for Super Resolution: Searching for Efficient Quantization-Friendly Architectures Against Quantization Noise.
IEEE Access, 2024

Unpaired Depth Super-Resolution in the Wild.
IEEE Access, 2024

A Large-Scale Empirical Study of Aligned Time Series Forecasting.
IEEE Access, 2024

Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Estimating Barycenters of Distributions with Neural Optimal Transport.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Light and Optimal Schrödinger Bridge Matching.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Disentanglement Learning via Topology.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Energy-guided Entropic Neural Optimal Transport.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Light Schrödinger Bridge.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural Optimal Transport with General Cost Functionals.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Flood Extent and Volume Estimation Using Remote Sensing Data.
Remote. Sens., September, 2023

Benchmark for Building Segmentation on Up-Scaled Sentinel-2 Imagery.
Remote. Sens., May, 2023

An event-triggered iteratively reweighted convex optimization approach to multi-period portfolio selection.
Expert Syst. Appl., April, 2023

AI-enabled prediction of video game player performance using the data from heterogeneous sensors.
Multim. Tools Appl., March, 2023

Machine learning approaches to mild cognitive impairment detection based on structural MRI data and morphometric features.
Cogn. Syst. Res., March, 2023

A Method for Auto-Differentiation of the Voronoi Tessellation.
CoRR, 2023

NeuSD: Surface Completion with Multi-View Text-to-Image Diffusion.
CoRR, 2023

PRS: Sharp Feature Priors for Resolution-Free Surface Remeshing.
CoRR, 2023

Challenges in data-based geospatial modeling for environmental research and practice.
CoRR, 2023

Energy-Guided Continuous Entropic Barycenter Estimation for General Costs.
CoRR, 2023

Anomaly Detection in Networks via Score-Based Generative Models.
CoRR, 2023

Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects.
CoRR, 2023

Energy-guided Entropic Neural Optimal Transport.
CoRR, 2023

Partial Neural Optimal Transport.
CoRR, 2023

Neural Gromov-Wasserstein Optimal Transport.
CoRR, 2023

Label Attention Network for sequential multi-label classification: you were looking at a wrong self-attention.
CoRR, 2023

Continuous-time convolutions model of event sequences.
CoRR, 2023

Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements.
CoRR, 2023

Multi-Fidelity Neural Architecture Search With Knowledge Distillation.
IEEE Access, 2023

Pseudo-Labeling Approach for Land Cover Classification Through Remote Sensing Observations With Noisy Labels.
IEEE Access, 2023

Sequential Minimal Optimization Algorithm for One-Class Support Vector Machines With Privileged Information.
IEEE Access, 2023

Multi-NeuS: 3D Head Portraits From Single Image With Neural Implicit Functions.
IEEE Access, 2023

Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Entropic Neural Optimal Transport via Diffusion Processes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Extremal Domain Translation with Neural Optimal Transport.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Topological Data Analysis for Speech Processing.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Learning topology-preserving data representations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Kernel Neural Optimal Transport.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Neural Optimal Transport.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Sphere-Guided Training of Neural Implicit Surfaces.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks.
ACM Trans. Graph., 2022

DEF: deep estimation of sharp geometric features in 3D shapes.
ACM Trans. Graph., 2022

Analysis of Video Game Players' Emotions and Team Performance: An Esports Tournament Case Study.
IEEE J. Biomed. Health Informatics, 2022

A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks.
Remote. Sens., 2022

Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting.
Remote. Sens., 2022

Recurrent Convolutional Neural Networks Help to Predict Location of Earthquakes.
IEEE Geosci. Remote. Sens. Lett., 2022

A machine learning investigation of factors that contribute to predicting cognitive performance: Difficulty level, reaction time and eye-movements.
Decis. Support Syst., 2022

Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective.
CoRR, 2022

Neural Optimal Transport with General Cost Functionals.
CoRR, 2022

High Performance of Gradient Boosting in Binding Affinity Prediction.
CoRR, 2022

Unpaired Image Super-Resolution with Optimal Transport Maps.
CoRR, 2022

Denoising Score Matching via Random Fourier Features.
IEEE Access, 2022

Learned Query Optimizers: Evaluation and Improvement.
IEEE Access, 2022

NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing.
IEEE Access, 2022

A Differentiable Language Model Adversarial Attack on Text Classifiers.
IEEE Access, 2022

Sequence Embeddings Help Detect Insurance Fraud.
IEEE Access, 2022

Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Can We Use Neural Regularization to Solve Depth Super-resolution?
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Wasserstein Iterative Networks for Barycenter Estimation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Representation Topology Divergence: A Method for Comparing Neural Network Representations.
Proceedings of the International Conference on Machine Learning, 2022

Generative Modeling with Optimal Transport Maps.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Acceptability Judgements via Examining the Topology of Attention Maps.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

NPBG++: Accelerating Neural Point-Based Graphics.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Transfer learning for ensembles: reducing computation time and keeping the diversity.
Proceedings of the 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022

2021
Mixability of integral losses: A key to efficient online aggregation of functional and probabilistic forecasts.
Pattern Recognit., 2021

Detecting Video Game Player Burnout With the Use of Sensor Data and Machine Learning.
IEEE Internet Things J., 2021

Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells.
CoRR, 2021

Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem.
CoRR, 2021

A Differentiable Language Model Adversarial Attack on Text Classifiers.
CoRR, 2021

Towards Unpaired Depth Enhancement and Super-Resolution in the Wild.
CoRR, 2021

COHORTNEY: Deep Clustering for Heterogeneous Event Sequences.
CoRR, 2021

Denoising Score Matching with Random Fourier Features.
CoRR, 2021

Reinforcement learning for combinatorial optimization: A survey.
Comput. Oper. Res., 2021

Making DensePose fast and light.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Latent Video Transformer.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Optimizing the Neural Architecture of Reinforcement Learning Agents.
Proceedings of the Intelligent Computing, 2021

Large-Scale Wasserstein Gradient Flows.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

BooVAE: Boosting Approach for Continual Learning of VAE.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Manifold Topology Divergence: a Framework for Comparing Data Manifolds.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adversarial Attacks on Deep Models for Financial Transaction Records.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Random Fourier Features based SLAM.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Homological assessment of data representations.
Proceedings of the Fourteenth International Conference on Machine Vision, 2021

Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Wasserstein-2 Generative Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Artificial Text Detection via Examining the Topology of Attention Maps.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Towards Part-Based Understanding of RGB-D Scans.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

3D Parametric Wireframe Extraction Based on Distance Fields.
Proceedings of the AIPR 2021: 4th International Conference on Artificial Intelligence and Pattern Recognition, Xiamen, China, September 24, 2021

2020
Tensor Completion via Gaussian Process-Based Initialization.
SIAM J. Sci. Comput., 2020

Real-Time Data-Driven Detection of the Rock-Type Alteration During a Directional Drilling.
IEEE Geosci. Remote. Sens. Lett., 2020

Adaptive hedging under delayed feedback.
Neurocomputing, 2020

Gaussian process classification for variable fidelity data.
Neurocomputing, 2020

Topological obstructions in neural networks learning.
CoRR, 2020

Relightable 3D Head Portraits from a Smartphone Video.
CoRR, 2020

AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors.
CoRR, 2020

DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes.
CoRR, 2020

How Good MVSNets Are at Depth Fusion.
CoRR, 2020

Convolutional neural networks for automatic detection of Focal Cortical Dysplasia.
CoRR, 2020

Domain Shift in Computer Vision models for MRI data analysis: An Overview.
CoRR, 2020

TOTOPO: Classifying univariate and multivariate time series with Topological Data Analysis.
CoRR, 2020

Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation.
CoRR, 2020

DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data.
CoRR, 2020

Are Hyperbolic Representations in Graphs Created Equal?
CoRR, 2020

Interpretable Deep Learning for Pattern Recognition in Brain Differences Between Men and Women.
CoRR, 2020

Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers.
CoRR, 2020

NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing.
CoRR, 2020

Bayesian Sparsification Methods for Deep Complex-valued Networks.
CoRR, 2020

Data-driven models and computational tools for neurolinguistics: a language technology perspective.
CoRR, 2020

Software System for Road Condition Forecast Correction.
CoRR, 2020

Latent-space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Monocular 3D Object Detection via Geometric Reasoning on Keypoints.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

User-controllable Multi-texture Synthesis with Generative Adversarial Networks.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Assessment of Video Games Players and Teams Behaviour via Sensing and Heterogeneous Data Analysis: Deployment at an eSports Tournament.
Proceedings of the Science and Technologies for Smart Cities, 2020

Analysis of the Reaction Time of eSports Players through the Gaze Tracking and Personality Trait.
Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020

eSports Players Professional Level and Tiredness Prediction using EEG and Machine Learning.
Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020

Fader networks for domain adaptation on fMRI: ABIDE-II study.
Proceedings of the Thirteenth International Conference on Machine Vision, 2020

Domain shift in computer vision models for MRI data analysis: an overview.
Proceedings of the Thirteenth International Conference on Machine Vision, 2020

How good MVSNets are at depth fusion.
Proceedings of the Thirteenth International Conference on Machine Vision, 2020

Graph Neural Networks for Model Recommendation using Time Series Data.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Bayesian Sparsification of Deep C-valued Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

CAD-Deform: Deformable Fitting of CAD Models to 3D Scans.
Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Vectorization of Technical Drawings.
Proceedings of the Computer Vision - ECCV 2020, 2020

Mixing past predictions.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020

Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Personality Traits and Coping Strategies of eSports Players.
Proceedings of the 7th International Conference on Behavioural and Social Computing, 2020

Geometric Attention for Prediction of Differential Properties in 3D Point Clouds.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2020

Interpretation of 3D CNNs for Brain MRI Data Classification.
Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2020

Gradient-Based Adversarial Attacks on Categorical Sequence Models via Traversing an Embedded World.
Proceedings of the Analysis of Images, Social Networks and Texts, 2020

Bayesian Filtering in a Latent Space to Predict Bank Net Income from Acquiring.
Proceedings of the Analysis of Images, Social Networks and Texts, 2020

2019
Esports Athletes and Players: A Comparative Study.
IEEE Pervasive Comput., 2019

Driving digital rock towards machine learning: Predicting permeability with gradient boosting and deep neural networks.
Comput. Geosci., 2019

Integral Mixabilty: a Tool for Efficient Online Aggregation of Functional and Probabilistic Forecasts.
CoRR, 2019

Barcodes as summary of objective function's topology.
CoRR, 2019

Machine learning on field data for hydraulic fracturing design optimization.
CoRR, 2019

Understanding Isomorphism Bias in Graph Data Sets.
CoRR, 2019

Sequence embeddings help to identify fraudulent cases in healthcare insurance.
CoRR, 2019

Wasserstein-2 Generative Networks.
CoRR, 2019

BooVAE: A scalable framework for continual VAE learning under boosting approach.
CoRR, 2019

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems.
CoRR, 2019

Topological Data Analysis of Time Series Data for B2B Customer Relationship Management.
CoRR, 2019

Rare Failure Prediction via Event Matching for Aerospace Applications.
CoRR, 2019

Usage of multiple RTL features for Earthquake prediction.
CoRR, 2019

A Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data.
CoRR, 2019

Gradient Boosting to Boost the Efficiency of Hydraulic Fracturing.
CoRR, 2019

Reconstruction of 3D Porous Media From 2D Slices.
CoRR, 2019

Deep Neural Networks Predicting Oil Movement in a Development Unit.
CoRR, 2019

Understanding Cyber Athletes Behaviour Through a Smart Chair: CS: GO and Monolith Team Scenario.
Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair.
Proceedings of the 2019 IEEE SmartWorld, 2019

Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis.
Proceedings of the 2019 IEEE SmartWorld, 2019

Ensemble of 3D CNN Regressors with Data Fusion for Fluid Intelligence Prediction.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Artificial Neural Network Surrogate Modeling of Oil Reservoir: A Case Study.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Learning Ensembles of Anomaly Detectors on Synthetic Data.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Procedural Synthesis of Remote Sensing Images for Robust Change Detection with Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

MaxEntropy Pursuit Variational Inference.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Boundary Loss for Remote Sensing Imagery Semantic Segmentation.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Visual Fixations Duration as an Indicator of Skill Level in eSports.
Proceedings of the Human-Computer Interaction - INTERACT 2019, 2019

Sensors and Game Synchronization for Data Analysis in eSports.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Steganographic generative adversarial networks.
Proceedings of the Twelfth International Conference on Machine Vision, 2019

Machine learning models reproducibility and validation for MR images recognition.
Proceedings of the Twelfth International Conference on Machine Vision, 2019

Topological data analysis in computer vision.
Proceedings of the Twelfth International Conference on Machine Vision, 2019

An Industry Case of Large-Scale Demand Forecasting of Hierarchical Components.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

3D Deformable Convolutions for MRI Classification.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Latent Convolutional Models.
Proceedings of the 7th International Conference on Learning Representations, 2019

Topological Data Analysis for Portfolio Management of Cryptocurrencies.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Perceptual Deep Depth Super-Resolution.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Usage of Multiple RTL Features for Earthquakes Prediction.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

Topology-Based Clusterwise Regression for User Segmentation and Demand Forecasting.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

ABC: A Big CAD Model Dataset for Geometric Deep Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Approximate Directional Fields Defined Over 2D Planes.
Proceedings of the Analysis of Images, Social Networks and Texts, 2019

2018
Perceptually-based single-image depth super-resolution.
CoRR, 2018

Laplace Inference for Multi-fidelity Gaussian Process Classification.
CoRR, 2018

Data-driven model for the identification of the rock type at a drilling bit.
CoRR, 2018

fMRI: preprocessing, classification and pattern recognition.
CoRR, 2018

Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry.
CoRR, 2018

Quadrature-based features for kernel approximation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Reinforcement Learning for Computer Vision and Robot Navigation.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Meta-learning for resampling recommendation systems.
Proceedings of the Eleventh International Conference on Machine Vision, 2018

Targeted change detection in remote sensing images.
Proceedings of the Eleventh International Conference on Machine Vision, 2018

Anonymous Walk Embeddings.
Proceedings of the 35th International Conference on Machine Learning, 2018

Functional Brain Areas Mapping in Patients with Glioma Based on Resting-State fMRI Data Decomposition.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Learning Node Embeddings for Influence Set Completion.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential Biomarkers.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Kernel Regression on Manifold Valued Data.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Conformal prediction in manifold learning.
Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

Aggregating strategies for long-term forecasting.
Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

Satellite Imagery Analysis for Operational Damage Assessment in Emergency Situations.
Proceedings of the Business Information Systems - 21st International Conference, 2018

Anomaly Pattern Recognition with Privileged Information for Sensor Fault Detection.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

Pattern Recognition Pipeline for Neuroimaging Data.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

Manifold Learning Regression with Non-stationary Kernels.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2017
On One Problem in Multichannel Signal Detection.
Probl. Inf. Transm., 2017

Long-Term Sequential Prediction Using Expert Advice.
CoRR, 2017

Steganographic Generative Adversarial Networks.
CoRR, 2017

Conformal k-NN Anomaly Detector for Univariate Data Streams.
CoRR, 2017

Meta-Learning for Construction of Resampling Recommendation Systems.
CoRR, 2017

Large scale variable fidelity surrogate modeling.
Ann. Math. Artif. Intell., 2017

Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions.
Ann. Math. Artif. Intell., 2017

Mobile Robot Localization via Machine Learning.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

Reinforcement learning in computer vision.
Proceedings of the Tenth International Conference on Machine Vision, 2017

Machine Learning in Appearance-Based Robot Self-Localization.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Forecasting of Commercial Sales with Large Scale Gaussian Processes.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Inductive Conformal Martingales for Change-Point Detection.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017

Conformal <i>k</i>-NN Anomaly Detector for Univariate Data Streams.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2017

Minimax Approach to Variable Fidelity Data Interpolation.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Large-Scale Shape Retrieval with Sparse 3D Convolutional Neural Networks.
Proceedings of the Analysis of Images, Social Networks and Texts, 2017

2016
Sparse 3D Convolutional Neural Networks for Large-Scale Shape Retrieval.
CoRR, 2016

Conformalized density- and distance-based anomaly detection in time-series data.
CoRR, 2016

GTApprox: Surrogate modeling for industrial design.
Adv. Eng. Softw., 2016

Automatic construction of a recurrent neural network based classifier for vehicle passage detection.
Proceedings of the Ninth International Conference on Machine Vision, 2016

Conformalized Kernel Ridge Regression.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

One-Class SVM with Privileged Information and Its Application to Malware Detection.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Detecting Performance Degradation of Software-Intensive Systems in the Presence of Trends and Long-Range Dependence.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Effective Design for Sobol Indices Estimation Based on Polynomial Chaos Expansions.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2016

2015
Adaptive Design of Experiments Based on Gaussian Processes.
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

Adaptive Design of Experiments for Sobol Indices Estimation Based on Quadratic Metamodel.
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

Gaussian Process Regression for Structured Data Sets.
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

Model selection for anomaly detection.
Proceedings of the Eighth International Conference on Machine Vision, 2015

Influence of resampling on accuracy of imbalanced classification.
Proceedings of the Eighth International Conference on Machine Vision, 2015

Nonparametric decomposition of quasi-periodic time series for change-point detection.
Proceedings of the Eighth International Conference on Machine Vision, 2015

Ensembles of detectors for online detection of transient changes.
Proceedings of the Eighth International Conference on Machine Vision, 2015

2014
Efficiency of conformalized ridge regression.
Proceedings of The 27th Conference on Learning Theory, 2014

2013
Properties of the posterior distribution of a regression model based on Gaussian random fields.
Autom. Remote. Control., 2013

On a method for constructing ensembles of regression models.
Autom. Remote. Control., 2013


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