Task independent transfer learning in EEG deep-learning classification tasks: Sex classification and anti-depressant response prediction

Código QR

Task independent transfer learning in EEG deep-learning classification tasks: Sex classification and anti-depressant response prediction

Guardado en:

Detalles Bibliográficos
Autores principales:	Hamish Binnie, Kristi Griffiths, Evian Gordon, Mayuresh Korgaonkar, Martijn Arns, Hanneke van Dijk
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/959534849e804e79b0d907c8d5783e39
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Unified Transformer Multi-Task Learning for Intent Classification With Entity Recognition
por: Alberto Benayas, et al.
Publicado: (2021)

The Ensemble Machine Learning-Based Classification of Motor Imagery Tasks in Brain-Computer Interface
por: Abdulhamit Subasi, et al.
Publicado: (2021)

Brainmarker-I: a transdiagnostic EEG biomarker predicting remission to various depression and ADHD treatments
por: Helena Voetterl, et al.
Publicado: (2021)

The classification of EEG-based wink signals: A CWT-Transfer Learning pipeline
por: Jothi Letchumy Mahendra Kumar, et al.
Publicado: (2021)

Buzz Tweet Classification Based on Text and Image Features of Tweets Using Multi-Task Learning
por: Reishi Amitani, et al.
Publicado: (2021)

Task-Adaptive Embedding Learning with Dynamic Kernel Fusion for Few-Shot Remote Sensing Scene Classification
por: Pei Zhang, et al.
Publicado: (2021)

Transfer and generalization of learned manipulation between unimanual and bimanual tasks
por: Trevor Lee-Miller, et al.
Publicado: (2021)

Combining Statistical Analysis and Machine Learning for EEG Scalp Topograms Classification
por: Alexander Kuc, et al.
Publicado: (2021)

Transfer learning for ECG classification
por: Kuba Weimann, et al.
Publicado: (2021)

Mushroom data creation, curation, and simulation to support classification tasks
por: Dennis Wagner, et al.
Publicado: (2021)

Exploring the role of Polygenetic risk scores for MDD treatment outcome in sex and different antidepressants groups
por: Bochao Lin, et al.
Publicado: (2021)

The role of task-related learned representations in explaining asymmetries in task switching.
por: Ayla Barutchu, et al.
Publicado: (2013)

Multi-Task Learning with Task-Specific Feature Filtering in Low-Data Condition
por: Sang-woo Lee, et al.
Publicado: (2021)

Solving Stance Detection on Tweets as Multi-Domain and Multi-Task Text Classification
por: Limin Wang, et al.
Publicado: (2021)

Hierarchical Classification of Event-Related Potentials for the Recognition of Gender Differences in the Attention Task
por: Karina Maciejewska, et al.
Publicado: (2021)

A Multi-Task Group Bi-LSTM Networks Application on Electrocardiogram Classification
por: Qiu-Jie Lv, et al.
Publicado: (2020)

Dual Head and Dual Attention in Deep Learning for End-to-End EEG Motor Imagery Classification
por: Meiyan Xu, et al.
Publicado: (2021)

EEG microstate features for schizophrenia classification.
por: Kyungwon Kim, et al.
Publicado: (2021)

About Some Didactic Methods of Performance Independent Tasks under Conditions Forced Distance Learning
por: A. N. Tsatsulin
Publicado: (2021)

Don’t Overweight Weights: Evaluation of Weighting Strategies for Multi-Task Bioactivity Classification Models
por: Lina Humbeck, et al.
Publicado: (2021)

International veterinary canine dyskinesia task force ECVN consensus statement: Terminology and classification
por: Sofia Cerda‐Gonzalez, et al.
Publicado: (2021)

On the Effects of Task Load Involvement on Iranian Intermediate EFL Learners Word Learning: Reading and writing Tasks vs. Translation Tasks
por: Samaneh Yazdani
Publicado: (2016)

Task and spatial frequency modulations of object processing: an EEG study.
por: Matt Craddock, et al.
Publicado: (2013)

Designing Tasks for Complex Virtual Learning Environments
por: Malgorzata Kurek
Publicado: (2015)

Structure learning in a sensorimotor association task.
por: Daniel A Braun, et al.
Publicado: (2010)

Errorless learning of everyday tasks in people with dementia
por: de Werd MME, et al.
Publicado: (2013)

EEG-Based Classification of the Driver Alertness State
por: Golz Martin, et al.
Publicado: (2020)

Classification methods for ongoing EEG and MEG signals
por: BESSERVE,MICHEL, et al.
Publicado: (2007)

THE USAGE OF METRIC FEATURES IN PREDICTION WITH DECISION TREES DEMONSTRATED ON THE TASK OF FOREST COVER TYPE CLASSIFICATION
por: Victor V. Kitov
Publicado: (2017)

Analysis of Time-on-Task, Behavior Experiences, and Performance in Two Online Courses with Different Authentic Learning Tasks
por: Sanghoon Park
Publicado: (2017)

A Novel Convolutional Neural Network Classification Approach of Motor-Imagery EEG Recording Based on Deep Learning
por: Amira Echtioui, et al.
Publicado: (2021)

Post-interval EEG activity is related to task-goals in temporal discrimination.
por: Fernanda Dantas Bueno, et al.
Publicado: (2021)

EEG microstate features according to performance on a mental arithmetic task
por: Kyungwon Kim, et al.
Publicado: (2021)

Age-related alterations of task-related but not task-free TMS-EEG profile correspond to PET-derived GABAA receptor availability
por: Kirstin-Friederike Heise, et al.
Publicado: (2021)

Effects of stimulus and task structure on temporal perceptual learning
por: Rannie Xu, et al.
Publicado: (2021)

Time rather than sleep appears to enhance off-line learning and transfer of learning of an implicit continuous task
por: Al-Sharman A, et al.
Publicado: (2014)

Heartbeat evoked potential in major depressive disorder: Differential treatment prediction for antidepressant medication and rTMS
por: Lauren Zwienenberg, et al.
Publicado: (2021)

Deep Learning for the classification of quenched jets
por: L. Apolinário, et al.
Publicado: (2021)

Deep Learning Classification of Lake Zooplankton
por: Sreenath P. Kyathanahally, et al.
Publicado: (2021)

HD-EEG for tracking sub-second brain dynamics during cognitive tasks
por: A. Mheich, et al.
Publicado: (2021)