Sergii G. Stirenko

Orcid: 0000-0001-5478-0450

According to our database1, Sergii G. Stirenko authored at least 51 papers between 2011 and 2023.

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

Timeline

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Bibliography

2023
Mixup Feature: A Pretext Task Self-Supervised Learning Method for Enhanced Visual Feature Learning.
IEEE Access, 2023

Edge Intelligence Resource Consumption by UAV-based IR Object Detection.
Proceedings of the 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, 2023

Expansion Rate Parametrization and K-Fold Based Inference with U-Net Neural Networks for Multiclass Medical Image Segmentation.
Proceedings of the Artificial Intelligence and Soft Computing, 2023

Object Detection for Rescue Operations by High-Altitude Infrared Thermal Imaging Collected by Unmanned Aerial Vehicles.
Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

Impact of Mixed Multimodalities and Size Dependence on Performance of Object Detection on Multimodal Satellite Imagery<sup>*</sup>.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Self-supervised Model Based on Masked Autoencoders Advance CT Scans Classification.
CoRR, 2022

Link Prediction Method in Graph Objects by Auto Encoding in Graph Neural Networks.
Proceedings of the Modern Machine Learning Technologies and Data Science Workshop MoMLeT&DS 2022, 2022

Hierarchy of Hybrid Deep Neural Networks for Physical Action Classification by Brain-Computer Interface.
Proceedings of the Modern Machine Learning Technologies and Data Science Workshop MoMLeT&DS 2022, 2022

Context-Aware Data Augmentation for Efficient Object Detection by UAV Surveillance.
Proceedings of the 10th International Symposium on Digital Forensics and Security, 2022

Hybrid Convolutional, Recurrent and Attention-Based Architectures of Deep Neural Networks for Classification of Human-Computer Interaction by Electroencephalography.
Proceedings of the HCI International 2022 - Late Breaking Papers. Multimodality in Advanced Interaction Environments, 2022

2021
Chapter Nine - "Last mile" optimization of edge computing ecosystem with deep learning models and specialized tensor processing architectures.
Adv. Comput., 2021

Hybrid Classic-Quantum Neural Networks for Image Classification.
Proceedings of the 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021

Convolutional and Recurrent Neural Networks for Physical Action Forecasting by Brain-Computer Interface.
Proceedings of the 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021

Improvement of Image Compression Performance by Deep Neural Networks.
Proceedings of the 19th IEEE International Conference on Smart Technologies, 2021

Provenance Detection System for Deep Learning Content in Healthcare.
Proceedings of the 19th IEEE International Conference on Smart Technologies, 2021

Impact of Hybrid Neural Network Structure on Performance of Multiclass Classification.
Proceedings of the 19th IEEE International Conference on Smart Technologies, 2021

Human Kidney Tissue Image Segmentation by U-Net Models.
Proceedings of the 19th IEEE International Conference on Smart Technologies, 2021

Improvement of Image Super Resolution by Deep Neural Networks.
Proceedings of the 19th IEEE International Conference on Smart Technologies, 2021

2020
Gamification Approach to the Creation of Virtual Laboratory Works and Educational Courses.
Proceedings of the 9th International Conference "Information Control Systems & Technologies", 2020

2019
Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions.
CoRR, 2019

Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Effect of Data Augmentation and Lung Mask Segmentation for Automated Chest Radiograph Interpretation of Some Lung Diseases.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases.
CoRR, 2018

Impact of MQTT Based Sensor Network Architecture on Delivery Delay Time.
CoRR, 2018

Capsule Deep Neural Network for Recognition of Historical Graffiti Handwriting.
CoRR, 2018

Parallel Statistical and Machine Learning Methods for Estimation of Physical Load.
CoRR, 2018

Gamification for Education of the Digitally Native Generation by Means of Virtual Reality, Augmented Reality, Machine Learning, and Brain-Computing Interfaces in Museums.
CoRR, 2018

Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation.
CoRR, 2018

Dimensionality Reduction in Deep Learning for Chest X-Ray Analysis of Lung Cancer.
CoRR, 2018

Deep Learning for Fatigue Estimation on the Basis of Multimodal Human-Machine Interactions.
CoRR, 2018

Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Dimensionality reduction in deep learning for chest X-ray analysis of lung cancer.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

Parallel Statistical and Machine Learning Methods for Estimation of Physical Load.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images.
Proceedings of the 19th International Conference on Computer Systems and Technologies, 2018

2017
Deep Learning with Lung Segmentation and Bone Shadow Exclusion Techniques for Chest X-Ray Analysis of Lung Cancer.
CoRR, 2017

Generating and Estimating Nonverbal Alphabets for Situated and Multimodal Communications.
CoRR, 2017

Music Transcription by Deep Learning with Data and "Artificial Semantic" Augmentation.
CoRR, 2017

Performance Analysis of Open Source Machine Learning Frameworks for Various Parameters in Single-Threaded and Multi-Threaded Modes.
CoRR, 2017

Performance Evaluation of Distributed Computing Environments with Hadoop and Spark Frameworks.
CoRR, 2017

User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities.
CoRR, 2017

Comparative Analysis of Open Source Frameworks for Machine Learning with Use Case in Single-Threaded and Multi-Threaded Modes.
CoRR, 2017

Comparative Performance Analysis of Neural Networks Architectures on H2O Platform for Various Activation Functions.
CoRR, 2017

Augmented Coaching Ecosystem for Non-obtrusive Adaptive Personalized Elderly Care on the basis of Cloud-Fog-Dew computing paradigm.
Proceedings of the 40th International Convention on Information and Communication Technology, 2017

Automatized Generation of Alphabets of Symbols.
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

Comparative analysis of open source frameworks for machine learning with use case in single-threaded and multi-threaded modes.
Proceedings of the 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, Ukraine, September 5-8, 2017, 2017

2015
IMP Science Gateway: from the Portal to the Hub of Virtual Experimental Labs in e-Science and Multiscale Courses in e-Learning.
Concurr. Comput. Pract. Exp., 2015

Science gateway for distributed multiscale course management in e-Science and e-Learning - Use case for study and investigation of functionalized nanomaterials.
Proceedings of the 38th International Convention on Information and Communication Technology, 2015

2014
IMP Science Gateway: From the Portal to the Hub of Virtual Experimental Labs in Materials Science.
Proceedings of the 6th International Workshop on Science Gateways, 2014

2012
GRID-DL - Semantic GRID Information Service.
Proceedings of OWL: Experiences and Directions Workshop 2012, 2012

2011
Integrated tools for molecular dynamics simulation data analysis in the MolDynGrid virtual laboratory.
Proceedings of the IEEE 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2011

Using semantic technologies to improve grid resource management.
Proceedings of the IEEE 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2011


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