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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...
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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)...
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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...
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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...
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08/14/2018
Parallel Statistical and Machine Learning Methods for Estimation of Physical Load
Several statistical and machine learning methods are proposed to estimat...
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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...
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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...
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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...
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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...
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07/16/2017
Performance Evaluation of Distributed Computing Environments with Hadoop and Spark Frameworks
Recently, due to rapid development of information and communication tech...
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06/07/2017