Oleg Alienin
Orcid: 0000-0003-4261-3895
According to our database1,
Oleg Alienin
authored at least 26 papers
between 2017 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
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
Proceedings of the 10th International Symposium on Digital Forensics and Security, 2022
2021
Chapter Nine - "Last mile" optimization of edge computing ecosystem with deep learning models and specialized tensor processing architectures.
Adv. Comput., 2021
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
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
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
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018
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
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
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
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