Cargando…

Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification

The scarcity of labelled time-series data can hinder a proper training of deep learning models. This is especially relevant for the growing field of ubiquitous computing, where data coming from wearable devices have to be analysed using pattern recognition techniques to provide meaningful applicatio...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Frédéric, Shirahama, Kimiaki, Nisar, Muhammad Adeel, Huang, Xinyu, Grzegorzek, Marcin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435596/ https://www.ncbi.nlm.nih.gov/pubmed/32751855 http://dx.doi.org/10.3390/s20154271

Ejemplares similares

Rank Pooling Approach for Wearable Sensor-Based ADLs Recognition
por: Nisar, Muhammad Adeel, et al.
Publicado: (2020)

Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors
por: Li, Frédéric, et al.
Publicado: (2018)

A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors
por: Nisar, Muhammad Adeel, et al.
Publicado: (2023)

Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation
por: Huang, Xinyu, et al.
Publicado: (2023)

SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors
por: Irshad, Muhammad Tausif, et al.
Publicado: (2022)

Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks
por: Doniec, Rafał, et al.
Publicado: (2023)

Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition
por: Gouverneur, Philip, et al.
Publicado: (2023)

AI Approaches towards Prechtl’s Assessment of General Movements: A Systematic Literature Review
por: Irshad, Muhammad Tausif, et al.
Publicado: (2020)

A Comparative Study of Feature Selection Approaches for Human Activity Recognition Using Multimodal Sensory Data
por: Amjad, Fatima, et al.
Publicado: (2021)

Ensemble Deep Learning for Biomedical Time Series Classification
por: Jin, Lin-peng, et al.
Publicado: (2016)

Developing intelligent medical image modality classification system using deep transfer learning and LDA
por: Hassan, Mehdi, et al.
Publicado: (2020)

A Machine Learning Framework for Automated Accident Detection Based on Multimodal Sensors in Cars
por: Hozhabr Pour, Hawzhin, et al.
Publicado: (2022)

Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning
por: Dawud, Awwal Muhammad, et al.
Publicado: (2019)

A Classification Method for the Cellular Images Based on Active Learning and Cross-Modal Transfer Learning
por: Vununu, Caleb, et al.
Publicado: (2021)

Multi-modal fusion of deep transfer learning based COVID-19 diagnosis and classification using chest x-ray images
por: Reddy, A. Siva Krishna, et al.
Publicado: (2022)

Corrigendum to “Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning”
por: Dawud, Awwal Muhammad, et al.
Publicado: (2020)

Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification
por: Ribeiro, Eduardo, et al.
Publicado: (2016)

Deep Learning-Based Transfer Learning for Classification of Skin Cancer
por: Jain, Satin, et al.
Publicado: (2021)

The Symphony of Team Flow in Virtual Teams. Using Artificial Intelligence for Its Recognition and Promotion
por: Peifer, Corinna, et al.
Publicado: (2021)

Understanding deep learning in land use classification based on Sentinel-2 time series
por: Campos-Taberner, Manuel, et al.
Publicado: (2020)

FilterNet: A Many-to-Many Deep Learning Architecture for Time Series Classification
por: Chambers, Robert D., et al.
Publicado: (2020)

Deep LSTM-Based Transfer Learning Approach for Coherent Forecasts in Hierarchical Time Series
por: Sagheer, Alaa, et al.
Publicado: (2021)

Real-Time Vehicle Classification and Tracking Using a Transfer Learning-Improved Deep Learning Network
por: Neupane, Bipul, et al.
Publicado: (2022)

Deep Temporal Convolution Network for Time Series Classification
por: Koh, Bee Hock David, et al.
Publicado: (2021)

A Comparative Study of Deep Learning Classification Methods on a Small Environmental Microorganism Image Dataset (EMDS-6): From Convolutional Neural Networks to Visual Transformers
por: Zhao, Peng, et al.
Publicado: (2022)

Elder emotion classification through multimodal fusion of intermediate layers and cross-modal transfer learning
por: Sreevidya, P., et al.
Publicado: (2022)

Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU
por: Shickel, Benjamin, et al.
Publicado: (2021)

Applying Deep Transfer Learning to Assess the Impact of Imaging Modalities on Colon Cancer Detection
por: Alhazmi, Wael, et al.
Publicado: (2023)

Deep transfer learning-based hologram classification for molecular diagnostics
por: Kim, Sung-Jin, et al.
Publicado: (2018)

Face mask detection and classification via deep transfer learning
por: Su, Xueping, et al.
Publicado: (2021)

Classification of COVID-19 and Pneumonia Using Deep Transfer Learning
por: Mahin, Mainuzzaman, et al.
Publicado: (2021)

Bangladeshi Native Vehicle Classification Based on Transfer Learning with Deep Convolutional Neural Network
por: Hasan, Md Mahibul, et al.
Publicado: (2021)

Combined Use of Modal Analysis and Machine Learning for Materials Classification
por: Abdelkader, Mohamed, et al.
Publicado: (2021)

Classification and Detection of Breathing Patterns with Wearable Sensors and Deep Learning
por: McClure, Kristin, et al.
Publicado: (2020)

Incremental Learning for Dermatological Imaging Modality Classification
por: Morgado, Ana C., et al.
Publicado: (2021)

Correction: Hoffmann et al. Detecting Walking Challenges in Gait Patterns Using a Capacitive Sensor Floor and Recurrent Neural Networks. Sensors 2021, 21, 1086
por: Hoffmann, Raoul, et al.
Publicado: (2022)

Continual Deep Learning for Time Series Modeling
por: Ao, Sio-Iong, et al.
Publicado: (2023)

Deep multi-modal intermediate fusion of clinical record and time series data in mortality prediction
por: Niu, Ke, et al.
Publicado: (2023)

Deep Transfer Learning Based Classification Model for COVID-19 Disease
por: Pathak, Y., et al.
Publicado: (2022)

Bucket of Deep Transfer Learning Features and Classification Models for Melanoma Detection
por: Manzo, Mario, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_ta6npmnn2i3hdtgs2dd9115pav