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10/20/2022
Comparing Machine Learning Techniques for Alfalfa Biomass Yield Prediction
The alfalfa crop is globally important as livestock feed, so highly effi...
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05/19/2022
EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning
Deep transfer learning techniques try to tackle the limitations of deep ...
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01/23/2022
An Integrated Approach for Video Captioning and Applications
Physical computing infrastructure, data gathering, and algorithms have r...
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01/23/2022
Generative Adversarial Network Applications in Creating a Meta-Universe
Generative Adversarial Networks (GANs) are machine learning methods that...
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01/19/2022
A Review of Deep Transfer Learning and Recent Advancements
A successful deep learning model is dependent on extensive training data...
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07/05/2021
Sarcasm Detection: A Comparative Study
Sarcasm detection is the task of identifying irony containing utterances...
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04/07/2021
Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning
Over the last decade, the use of Deep Learning in many applications prod...
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04/07/2021
The Use of Video Captioning for Fostering Physical Activity
Video Captioning is considered to be one of the most challenging problem...
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04/05/2021
A Concise Review of Transfer Learning
The availability of abundant labeled data in recent years led the resear...
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10/07/2020
A Brief Review of Domain Adaptation
Classical machine learning assumes that the training and test sets come ...
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05/27/2020
A Comparative Study of Machine Learning Models for Tabular Data Through Challenge of Monitoring Parkinson's Disease Progression Using Voice Recordings
People with Parkinson's disease must be regularly monitored by their phy...
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03/18/2018
Feature Selection of Post-Graduation Income of College Students in the United States
This study investigated the most important attributes of the 6-year post...
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03/18/2018
Feature Selection and Classification of Post-Graduation Income of College Students in the United States
This study investigated the most important attributes of the 6-year post...
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12/28/2015
Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model
Probabilistic Graphical Models (PGM) are very useful in the fields of ma...
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12/28/2015
