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RecurrentHAR: A Novel Transfer Learning-Based Deep Learning Model for Sequential, Complex, Concurrent, Interleaved, and Heterogeneous Type Human Activity Recognition
RecurrentHAR: A Novel Transfer Learning-Based Deep Learning Model for Sequential, Complex, Concurrent, Interleaved, and Heterogeneous Type Human Activity Recognition
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RecurrentHAR: A Novel Transfer Learning-Based Deep Learning Model for Sequential, Complex, Concurrent, Interleaved, and Heterogeneous Type Human Activity Recognition

Kumar, Prabhat ; Suresh, S.

Technical review - IETE, 2023-05, Vol.40 (3), p.312-333 [Periódico revisado por pares]

Taylor & Francis

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2
A randomized crossover single-case series comparing blocked versus random treatment for anomia
A randomized crossover single-case series comparing blocked versus random treatment for anomia
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A randomized crossover single-case series comparing blocked versus random treatment for anomia

Diedrichs, Victoria A. ; Lundine, Jennifer P. ; Blackett, Deena Schwen ; Durfee, Alexandra Zezinka ; Pan, Xueliang Jeff ; Harnish, Stacy M.

Neuropsychological rehabilitation, 2023-06, Vol.33 (5), p.821-848 [Periódico revisado por pares]

England: Routledge

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3
Predicting Substance Use Treatment Failure with Transfer Learning
Predicting Substance Use Treatment Failure with Transfer Learning
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Predicting Substance Use Treatment Failure with Transfer Learning

Bailey, Jordan D. ; DeFulio, Anthony

Substance use & misuse, 2022-11, Vol.57 (13), p.1982-1987 [Periódico revisado por pares]

Philadelphia: Taylor & Francis

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4
Statistical transfer learning: A review and some extensions to statistical process control
Statistical transfer learning: A review and some extensions to statistical process control
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Statistical transfer learning: A review and some extensions to statistical process control

Tsung, Fugee ; Zhang, Ke ; Cheng, Longwei ; Song, Zhenli

Quality engineering, 2018-01, Vol.30 (1), p.115-128 [Periódico revisado por pares]

Milwaukee: Taylor & Francis

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5
QuantNet: transferring learning across trading strategies
QuantNet: transferring learning across trading strategies
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QuantNet: transferring learning across trading strategies

Koshiyama, Adriano ; Blumberg, Stefano B. ; Firoozye, Nick ; Treleaven, Philip ; Flennerhag, Sebastian

Quantitative finance, 2022-06, Vol.22 (6), p.1071-1090 [Periódico revisado por pares]

Bristol: Routledge

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6
Validation of the Learning Transfer System Inventory (LTSI) in the Korean corporate context
Validation of the Learning Transfer System Inventory (LTSI) in the Korean corporate context
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Validation of the Learning Transfer System Inventory (LTSI) in the Korean corporate context

Kim, Junhee ; Bates, Reid A. ; Song, Ji Hoon

Human resource development international, 2019-05, Vol.22 (3), p.217-234 [Periódico revisado por pares]

Abingdon: Routledge

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7
From in-service teacher development to school improvement: factors of learning transfer in teacher education
From in-service teacher development to school improvement: factors of learning transfer in teacher education
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From in-service teacher development to school improvement: factors of learning transfer in teacher education

Dreer, Benjamin ; Dietrich, Julia ; Kracke, Bärbel

Teacher development, 2017-03, Vol.21 (2), p.208-224 [Periódico revisado por pares]

Abingdon: Routledge

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8
Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning
Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning
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Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning

Jaiswal, Aayush ; Gianchandani, Neha ; Singh, Dilbag ; Kumar, Vijay ; Kaur, Manjit

Journal of biomolecular structure & dynamics, 2021-09, Vol.39 (15), p.5682-5689 [Periódico revisado por pares]

Taylor & Francis

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9
Toys or Math Tools: Do Children’s Views of ManipulativesAffect Their Learning?
Toys or Math Tools: Do Children’s Views of ManipulativesAffect Their Learning?
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Toys or Math Tools: Do Children’s Views of ManipulativesAffect Their Learning?

Andrea Marquardt Donovan ; Alibali, Martha W

Journal of cognition and development, 2021-03, Vol.22 (2), p.281-304 [Periódico revisado por pares]

Philadelphia: Taylor & Francis Ltd

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10
Transfer Learning Under High-Dimensional Generalized Linear Models
Transfer Learning Under High-Dimensional Generalized Linear Models
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Transfer Learning Under High-Dimensional Generalized Linear Models

Tian, Ye ; Feng, Yang

Journal of the American Statistical Association, 2023-10, Vol.118 (544), p.2684-2697 [Periódico revisado por pares]

United States: Taylor & Francis

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