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The Influences of Emotion on Learning and Memory

Frontiers in psychology, 2017-08, Vol.8, p.1454-1454

2017

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Total sugar content of pre-packaged beverages available in Saudi Arabia

Journal of food composition and analysis, 2024-12, Vol.136, p.106783, Article 106783

2024

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Transfusionsmedizin Für Technische Assistenten: Für Ausbildung, Prüfung und Praxis

Kaiser, Ulrike

2nd Aufl 2023rd edition, 2023

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Anterior and posterior MTL networks in aging and MCI

Neurobiology of aging, 2015-01, Vol.36 (1), p.S141-S150.e1

2015

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Achieving Zero Switching Loss in Silicon Carbide MOSFET

IEEE transactions on power electronics, 2019-12, Vol.34 (12), p.12193-12199

2019

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Đánh giá kiểu gene chịu mặn bằng dấu chỉ thị phân tử SSR trên 40 giống/dòng lúa cải tiến

Can Tho University Journal of Science, 2020-08, Vol.56(4), p.102

2020

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Ultra-short-term forecasting of wind power based on multi-task learning and LSTM

International journal of electrical power & energy systems, 2023-07, Vol.149, p.109073, Article 109073

2023

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Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning

IEEE transactions on intelligent transportation systems, 2014-10, Vol.15 (5), p.2191-2201

2014

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Multi-Object Tracking in Satellite Videos With Graph-Based Multitask Modeling

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-13

2022

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Transient analysis of finite multi-conductor transmission line metamaterials (MTL-MMs) based on discrete green's function (DGF) and macro-modelling techniques

IET microwaves, antennas & propagation, 2019-09, Vol.13 (11), p.1904-1915

2019

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Deep Architecture for High-Speed Railway Insulator Surface Defect Detection: Denoising Autoencoder With Multitask Learning

IEEE transactions on instrumentation and measurement, 2019-08, Vol.68 (8), p.2679-2690

2019

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Re-evaluating human MTL in working memory: insights from intracranial recordings

Trends in cognitive sciences, 2024-08

2024

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Multitask Autoencoder Model for Recovering Human Poses

IEEE transactions on industrial electronics (1982), 2018-06, Vol.65 (6), p.5060-5068

2018

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Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multitask Learning Perspective

IEEE transaction on neural networks and learning systems, 2024-09, Vol.PP, p.1-15

2024

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Oscillations and Episodic Memory: Addressing the Synchronization/Desynchronization Conundrum

Trends in neurosciences (Regular ed.), 2016-01, Vol.39 (1), p.16-25

2016

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Generalized Scene Classification From Small-Scale Datasets With Multitask Learning

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-11

2022

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Multitask Learning Based on Lightweight 1DCNN for Fault Diagnosis of Wheelset Bearings

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-11

2021

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On the influence of the anodic porous transport layer on PEM electrolysis performance at high current densities

International journal of hydrogen energy, 2020-02, Vol.45 (11), p.6047-6058

2020

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Multi-Task Learning for Generalized Automatic Modulation Classification Under Non-Gaussian Noise With Varying SNR Conditions

IEEE transactions on wireless communications, 2021-06, Vol.20 (6), p.3587-3596

2021

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Automatic Fetal Ultrasound Standard Plane Recognition Based on Deep Learning and IIoT

IEEE transactions on industrial informatics, 2021-11, Vol.17 (11), p.7771-7780

2021

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Representative Task Self-Selection for Flexible Clustered Lifelong Learning

IEEE transaction on neural networks and learning systems, 2022-04, Vol.33 (4), p.1467-1481

2022

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Deep Autoencoders With Multitask Learning for Bilinear Hyperspectral Unmixing

IEEE transactions on geoscience and remote sensing, 2021-10, Vol.59 (10), p.8615-8629

2021

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Bayesian Deep Learning-Based Probabilistic Load Forecasting in Smart Grids

IEEE transactions on industrial informatics, 2020-07, Vol.16 (7), p.4703-4713

2020

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Theta Oscillations in the Human Medial Temporal Lobe during Real-World Ambulatory Movement

Current biology, 2017-12, Vol.27 (24), p.3743-3751.e3

2017

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FVRAS-Net: An Embedded Finger-Vein Recognition and AntiSpoofing System Using a Unified CNN

IEEE transactions on instrumentation and measurement, 2020-11, Vol.69 (11), p.8690-8701

2020

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The Influences of Emotion on Learning and Memory

Total sugar content of pre-packaged beverages available in Saudi Arabia

Transfusionsmedizin Für Technische Assistenten: Für Ausbildung, Prüfung und Praxis

Anterior and posterior MTL networks in aging and MCI

Achieving Zero Switching Loss in Silicon Carbide MOSFET

Đánh giá kiểu gene chịu mặn bằng dấu chỉ thị phân tử SSR trên 40 giống/dòng lúa cải tiến

Ultra-short-term forecasting of wind power based on multi-task learning and LSTM

Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning

Multi-Object Tracking in Satellite Videos With Graph-Based Multitask Modeling

Transient analysis of finite multi-conductor transmission line metamaterials (MTL-MMs) based on discrete green's function (DGF) and macro-modelling techniques

Deep Architecture for High-Speed Railway Insulator Surface Defect Detection: Denoising Autoencoder With Multitask Learning

Re-evaluating human MTL in working memory: insights from intracranial recordings

Multitask Autoencoder Model for Recovering Human Poses

Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multitask Learning Perspective

Oscillations and Episodic Memory: Addressing the Synchronization/Desynchronization Conundrum

Generalized Scene Classification From Small-Scale Datasets With Multitask Learning

Multitask Learning Based on Lightweight 1DCNN for Fault Diagnosis of Wheelset Bearings

On the influence of the anodic porous transport layer on PEM electrolysis performance at high current densities

Multi-Task Learning for Generalized Automatic Modulation Classification Under Non-Gaussian Noise With Varying SNR Conditions

Automatic Fetal Ultrasound Standard Plane Recognition Based on Deep Learning and IIoT

Representative Task Self-Selection for Flexible Clustered Lifelong Learning

Deep Autoencoders With Multitask Learning for Bilinear Hyperspectral Unmixing

Bayesian Deep Learning-Based Probabilistic Load Forecasting in Smart Grids

Theta Oscillations in the Human Medial Temporal Lobe during Real-World Ambulatory Movement

FVRAS-Net: An Embedded Finger-Vein Recognition and AntiSpoofing System Using a Unified CNN

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