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Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals

Sensors (Basel, Switzerland), 2022-11, Vol.22 (21), p.8568

2022

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Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks

Sensors (Basel, Switzerland), 2024-04, Vol.24 (8), p.2412

2024

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Uninorm-like parametric activation functions for human-understandable neural models

Knowledge-based systems, 2023-01, Vol.260, p.110095, Article 110095

2023

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Two U-net Architectures for Infant Brain Tissue Segmentation from Multi-Spectral MRI Data

IFAC-PapersOnLine, 2023-01, Vol.56 (2), p.5637-5642

2023

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Investigation of reward functions for controlling blood glucose level using reinforcement learning

2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2023, p.000387-000392

2023

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Control of Type 1 Diabetes Mellitus using direct reinforcement learning based controller

2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022, p.1512-1517

2022

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Segmentation of 6-month infant brain tissues from multi-spectral MRI records using a U-Net neural network architecture

2022 IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems (ICCC), 2022, p.000077-000082

2022

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User Verification Based on Mouse Dynamics: a Comparison of Public Data Sets

2019 IEEE 13th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2019, p.143-148

2019

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Numba-accelerated parameter estimation for artificial pancreas applications

2022 IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY), 2022, p.279-284

2022

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IEEE_Xplore

Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation

2023 IEEE Symposium Series on Computational Intelligence (SSCI), 2023, p.496-500

2023

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Two-factor, continuous authentication framework for multi-site large enterprises

2020 IEEE 20th International Symposium on Computational Intelligence and Informatics (CINTI), 2020, p.173-178

2020

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IEEE_Xplore

Utilization of IMU-Based Gesture Recognition in the Treatment of Diabetes

2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 2022, p.1-5

2022

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Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data

2021 IEEE AFRICON, 2021, p.1-6

2021

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IEEE_Xplore

Detection of physical activity using machine learning methods

2020 IEEE 20th International Symposium on Computational Intelligence and Informatics (CINTI), 2020, p.167-172

2020

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IEEE_Xplore

Effect of spectral resolution on the segmentation quality of magnetic resonance imaging data

2022 IEEE 26th International Conference on Intelligent Engineering Systems (INES), 2022, p.000053-000058

2022

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Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals

Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks

Uninorm-like parametric activation functions for human-understandable neural models

Two U-net Architectures for Infant Brain Tissue Segmentation from Multi-Spectral MRI Data

Investigation of reward functions for controlling blood glucose level using reinforcement learning

Control of Type 1 Diabetes Mellitus using direct reinforcement learning based controller

Segmentation of 6-month infant brain tissues from multi-spectral MRI records using a U-Net neural network architecture

User Verification Based on Mouse Dynamics: a Comparison of Public Data Sets

Numba-accelerated parameter estimation for artificial pancreas applications

Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation

Two-factor, continuous authentication framework for multi-site large enterprises

Utilization of IMU-Based Gesture Recognition in the Treatment of Diabetes

Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data

Detection of physical activity using machine learning methods

Effect of spectral resolution on the segmentation quality of magnetic resonance imaging data

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