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Kimiaki Shirahama

Showing results (1-10 of 9) with videos related to

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Computers in Biology and Medicine|January 24, 2018
A general framework for sensor-based human activity recognitionLukas Köping, Kimiaki Shirahama, Marcin Grzegorzek
Artificial Intelligence in Medicine|November 30, 2020
Sleep stage classification for child patients using DeConvolutional Neural NetworkXinyu Huang, Kimiaki Shirahama, Frédéric Li, et al.
Sensors (Basel, Switzerland)|March 3, 2018
Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable SensorsFrédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, et al.
Sensors (Basel, Switzerland)|June 25, 2020
Rank Pooling Approach for Wearable Sensor-Based ADLs RecognitionMuhammad Adeel Nisar, Kimiaki Shirahama, Frédéric Li, et al.
Sensors (Basel, Switzerland)|August 6, 2020
Deep Transfer Learning for Time Series Data Based on Sensor Modality ClassificationFrédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, et al.
Sensors (Basel, Switzerland)|October 14, 2023
A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable SensorsMuhammad Adeel Nisar, Kimiaki Shirahama, Muhammad Tausif Irshad, et al.
Sensors (Basel, Switzerland)|April 13, 2023
Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data AugmentationXinyu Huang, Kimiaki Shirahama, Muhammad Tausif Irshad, et al.
Environmental Science and Pollution Research International|March 8, 2022
A new pairwise deep learning feature for environmental microorganism image analysisFrank Kulwa, Chen Li, Jinghua Zhang, et al.
Sensors (Basel, Switzerland)|February 28, 2023
Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain RecognitionPhilip Gouverneur, Frédéric Li, Kimiaki Shirahama, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Computers in Biology and Medicine|January 24, 2018
A general framework for sensor-based human activity recognitionLukas Köping, Kimiaki Shirahama, Marcin Grzegorzek
Artificial Intelligence in Medicine|November 30, 2020
Sleep stage classification for child patients using DeConvolutional Neural NetworkXinyu Huang, Kimiaki Shirahama, Frédéric Li, et al.
Sensors (Basel, Switzerland)|March 3, 2018
Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable SensorsFrédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, et al.
Sensors (Basel, Switzerland)|June 25, 2020
Rank Pooling Approach for Wearable Sensor-Based ADLs RecognitionMuhammad Adeel Nisar, Kimiaki Shirahama, Frédéric Li, et al.
Sensors (Basel, Switzerland)|August 6, 2020
Deep Transfer Learning for Time Series Data Based on Sensor Modality ClassificationFrédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, et al.
Sensors (Basel, Switzerland)|October 14, 2023
A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable SensorsMuhammad Adeel Nisar, Kimiaki Shirahama, Muhammad Tausif Irshad, et al.
Sensors (Basel, Switzerland)|April 13, 2023
Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data AugmentationXinyu Huang, Kimiaki Shirahama, Muhammad Tausif Irshad, et al.
Environmental Science and Pollution Research International|March 8, 2022
A new pairwise deep learning feature for environmental microorganism image analysisFrank Kulwa, Chen Li, Jinghua Zhang, et al.
Sensors (Basel, Switzerland)|February 28, 2023
Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain RecognitionPhilip Gouverneur, Frédéric Li, Kimiaki Shirahama, et al.
Pageof 1