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A Review of Deep Transfer Learning and Recent Advancements

Technologies (Basel), 2023-04, Vol.11 (2), p.40

2023

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Supervised and Weakly Supervised Deep Learning for Segmentation and Counting of Cotton Bolls Using Proximal Imagery

Sensors (Basel, Switzerland), 2022-05, Vol.22 (10), p.3688

2022

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Classifying kinase conformations using a machine learning approach

BMC bioinformatics, 2017-02, Vol.18 (1), p.86-86, Article 86

2017

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Interindividual distances and orientations of laying hens under 8 stocking densities measured by integrative deep learning techniques

Poultry science, 2023-11, Vol.102 (11), p.103076-103076, Article 103076

2023

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Using Machine Learning and Feature Selection for Alfalfa Yield Prediction

AI (Basel), 2021-03, Vol.2 (1), p.71-88

2021

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Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases

eLife, 2020-04, Vol.9

2020

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Automatic Image and Video Caption Generation With Deep Learning: A Concise Review and Algorithmic Overlap

IEEE access, 2020, Vol.8, p.218386-218400

2020

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Quantitative Structure-Mutation-Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction

BMC bioinformatics, 2020-11, Vol.21 (1), p.520-22, Article 520

2020

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SWAG: A Novel Neural Network Architecture Leveraging Polynomial Activation Functions for Enhanced Deep Learning Efficiency

IEEE access, 2024, Vol.12, p.73363-73375

2024

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Data Synthesis for Alfalfa Biomass Yield Estimation

AI (Basel), 2022-12, Vol.4 (1), p.1-15

2022

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Classification of genomic islands using decision trees and their ensemble algorithms

BMC genomics, 2010-11, Vol.11 Suppl 2 (Suppl 2), p.S1-S1

2010

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Stock market prediction with multiple classifiers

Applied intelligence (Dordrecht, Netherlands), 2007-02, Vol.26 (1), p.25-33

2007

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Decision tree and ensemble learning algorithms with their applications in bioinformatics

Advances in experimental medicine and biology, 2011, Vol.696, p.191

2011

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Foreign exchange market prediction with multiple classifiers

Journal of forecasting, 2010-04, Vol.29 (3), p.271-284

2010

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Vibration Measurement of a Rotating Shaft using Electrostatic Sensor

International journal of recent technology and engineering, 2021-09, Vol.10 (3), p.97-105

2021

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An Intelligent Data-Centric Web Crawler Service for API Corpus Construction at Scale

2022 IEEE International Conference on Web Services (ICWS), 2022, p.385-390

2022

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Feature Selection of Post-graduation Income of College Students in the United States

Social, Cultural, and Behavioral Modeling, p.38-45

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Experimental V alidating DC Motor Model s and I dentify Transfer Function

International journal of recent technology and engineering, 2021-11, Vol.10 (4), p.46-55

2021

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Mining massive hierarchical data using a scalable probabilistic graphical model

Information sciences, 2018-01, Vol.425, p.62-75

2018

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Prediction and Prioritization of Rare Oncogenic Mutations in the Cancer Kinome Using Novel Features and Multiple Classifiers: e1003545

PLoS computational biology, 2014-04, Vol.10 (4)

2014

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Eye State Prediction from EEG Data Using Boosted Rotational Forests

2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), 2015, p.429-432

2015

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Intracranial Pressure Forecasting in Children Using Dynamic Averaging of Time Series Data

Forecasting, 2019-12, Vol.1 (1), p.47-58

2019

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Style-Me – An Experimental AI Fashion Stylist

Trends in Applied Knowledge-Based Systems and Data Science, p.553-561

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Construction scheduling using 3-D CAD and walk-thru

Construction innovation, 2001-09, Vol.1 (3), p.191-207

2001

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Constrained Multi-objective Optimization Using Steady State Genetic Algorithms

Genetic and Evolutionary Computation — GECCO 2003, p.813-824

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A Review of Deep Transfer Learning and Recent Advancements

Supervised and Weakly Supervised Deep Learning for Segmentation and Counting of Cotton Bolls Using Proximal Imagery

Classifying kinase conformations using a machine learning approach

Interindividual distances and orientations of laying hens under 8 stocking densities measured by integrative deep learning techniques

Using Machine Learning and Feature Selection for Alfalfa Yield Prediction

Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases

Automatic Image and Video Caption Generation With Deep Learning: A Concise Review and Algorithmic Overlap

Quantitative Structure-Mutation-Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction

SWAG: A Novel Neural Network Architecture Leveraging Polynomial Activation Functions for Enhanced Deep Learning Efficiency

Data Synthesis for Alfalfa Biomass Yield Estimation

Classification of genomic islands using decision trees and their ensemble algorithms

Stock market prediction with multiple classifiers

Decision tree and ensemble learning algorithms with their applications in bioinformatics

Foreign exchange market prediction with multiple classifiers

Vibration Measurement of a Rotating Shaft using Electrostatic Sensor

An Intelligent Data-Centric Web Crawler Service for API Corpus Construction at Scale

Feature Selection of Post-graduation Income of College Students in the United States

Experimental V alidating DC Motor Model s and I dentify Transfer Function

Mining massive hierarchical data using a scalable probabilistic graphical model

Prediction and Prioritization of Rare Oncogenic Mutations in the Cancer Kinome Using Novel Features and Multiple Classifiers: e1003545

Eye State Prediction from EEG Data Using Boosted Rotational Forests

Intracranial Pressure Forecasting in Children Using Dynamic Averaging of Time Series Data

Style-Me – An Experimental AI Fashion Stylist

Construction scheduling using 3-D CAD and walk-thru

Constrained Multi-objective Optimization Using Steady State Genetic Algorithms

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