Sergii Stirenko | DeepAI

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Featured Co-authors

Wei Zeng
45 publications
Yuri Gordienko
17 publications
Oleg Alienin
11 publications
Gang Peng
10 publications
Jiashu Xu
9 publications
Peng Gang
9 publications
Yuriy Kochura
8 publications
Nikita Gordienko
7 publications
Anis Rojbi
4 publications
Vlad Taran
4 publications
Oleksandr Rokovyi
4 publications

∙ 10/11/2022

Self-supervised Model Based on Masked Autoencoders Advance CT Scans Classification

The coronavirus pandemic has been going on since the year 2019, and the ...

1 Jiashu Xu, et al. ∙

∙ 12/20/2019

Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises

The assessment of energy expenditure in real life is of great importance...

8 Peng Gang, et al. ∙

∙ 12/31/2018

Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases

The impact of the maximally possible batch size (for the better runtime)...

0 Yuriy Kochura, et al. ∙

∙ 12/30/2018

Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions

Preparation of high-quality datasets for the urban scene understanding i...

0 Vlad Taran, et al. ∙

∙ 12/08/2018

Impact of MQTT Based Sensor Network Architecture on Delivery Delay Time

The purpose of this study is to present two new architectures of the com...

0 Oleksandr Kovalchuk, et al. ∙

∙ 09/11/2018

Capsule Deep Neural Network for Recognition of Historical Graffiti Handwriting

Automatic recognition of the historical letters (XI-XVIII centuries) car...

0 Nikita Gordienko, et al. ∙

∙ 08/31/2018

Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti

Machine learning techniques are presented for automatic recognition of t...

10 Nikita Gordienko, et al. ∙

∙ 08/14/2018

Parallel Statistical and Machine Learning Methods for Estimation of Physical Load

Several statistical and machine learning methods are proposed to estimat...

0 Sergii Stirenko, et al. ∙

∙ 06/05/2018

Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images

Semantic image segmentation is one the most demanding task, especially f...

4 Vlad Taran, et al. ∙

∙ 03/03/2018

Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation

The results of chest X-ray (CXR) analysis of 2D images to get the statis...

0 Sergii Stirenko, et al. ∙

∙ 12/30/2017

Deep Learning for Fatigue Estimation on the Basis of Multimodal Human-Machine Interactions

The new method is proposed to monitor the level of current physical load...

0 Yuri Gordienko, et al. ∙

∙ 12/12/2017

Generating and Estimating Nonverbal Alphabets for Situated and Multimodal Communications

In this paper, we discuss the formalized approach for generating and est...

0 Serhii Hamotskyi, et al. ∙

∙ 12/08/2017

Music Transcription by Deep Learning with Data and "Artificial Semantic" Augmentation

In this progress paper the previous results of the single note recogniti...

0 Vladyslav Sarnatskyi, et al. ∙

∙ 08/29/2017

Performance Analysis of Open Source Machine Learning Frameworks for Various Parameters in Single-Threaded and Multi-Threaded Modes

The basic features of some of the most versatile and popular open source...

0 Yuriy Kochura, et al. ∙

∙ 07/16/2017

Comparative Performance Analysis of Neural Networks Architectures on H2O Platform for Various Activation Functions

Deep learning (deep structured learning, hierarchi- cal learning or deep...

0 Yuriy Kochura, et al. ∙

∙ 07/16/2017

Performance Evaluation of Distributed Computing Environments with Hadoop and Spark Frameworks

Recently, due to rapid development of information and communication tech...

0 Vladyslav Taran, et al. ∙

∙ 07/16/2017

Automatized Generation of Alphabets of Symbols

In this paper, we discuss the generation of symbols (and alphabets) base...

0 Serhii Hamotskyi, et al. ∙

∙ 06/07/2017

Comparative Analysis of Open Source Frameworks for Machine Learning with Use Case in Single-Threaded and Multi-Threaded Modes

The basic features of some of the most versatile and popular open source...

0 Yuriy Kochura, et al. ∙

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