Oleksandr Rokovyi

Orcid: 0000-0001-6934-7502

According to our database1, Oleksandr Rokovyi authored at least 20 papers between 2017 and 2023.

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

Timeline

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Bibliography

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

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
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

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

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

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


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