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05/12/2023
A New Era of Artificial Intelligence in Education: A Multifaceted Revolution
The recent high performance of ChatGPT on several standardized academic ...
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02/24/2023
Global Pandemics Influence on Cyber Security and Cyber Crimes
COVID-19 has caused widespread damage across many areas of life and has ...
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01/03/2023
e-Inu: Simulating A Quadruped Robot With Emotional Sentience
Quadruped robots are currently used in industrial robotics as mechanical...
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11/06/2022
Synthetic Data for Feature Selection
Feature selection is an important and active field of research in machin...
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07/11/2022
Partial Resampling of Imbalanced Data
Imbalanced data is a frequently encountered problem in machine learning....
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10/25/2021
Kernel density estimation-based sampling for neural network classification
Imbalanced data occurs in a wide range of scenarios. The skewed distribu...
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10/25/2021
Time series signal recovery methods: comparative study
Signal data often contains missing values. Effective replacement (imputa...
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10/25/2021
Orthogonal variance-based feature selection for intrusion detection systems
In this paper, we apply a fusion machine learning method to construct an...
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06/28/2021
Feature selection for intrusion detection systems
In this paper, we analyze existing feature selection methods to identify...
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01/19/2021
Machine learning applications for COVID-19: A state-of-the-art review
The COVID-19 pandemic has galvanized the machine learning community to c...
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09/22/2020
Gamma distribution-based sampling for imbalanced data
Imbalanced class distribution is a common problem in a number of fields ...
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09/21/2020
Machine learning based forecasting of significant daily returns in foreign exchange markets
Asset value forecasting has always attracted an enormous amount of inter...
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10/22/2019
Orthogonal variance decomposition based feature selection
Existing feature selection methods fail to properly account for interact...
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10/17/2019
KDE sampling for imbalanced class distribution
Imbalanced response variable distribution is not an uncommon occurrence ...
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09/09/2019
