Projection of future drought and its impact on simulated crop yield over South Asia using ensemble machine learning approach
Understanding the development mechanism of drought events, characterization of future
drought metrics, and its impact on crop yield is crucial to ensure food security globally, and …
drought metrics, and its impact on crop yield is crucial to ensure food security globally, and …
[HTML][HTML] A performance analysis of dimensionality reduction algorithms in machine learning models for cancer prediction
Developments in technology facilitate the use of machine learning methods in medical
fields. In cancer research, the combination of machine learning tools and gene expression …
fields. In cancer research, the combination of machine learning tools and gene expression …
A hybrid super ensemble learning model for the early-stage prediction of diabetes risk
A Doğru, S Buyrukoğlu, M Arı - Medical & Biological Engineering & …, 2023 - Springer
Diabetes mellitus has become a rapidly growing chronic health problem worldwide. There
has been a noticeable increase in diabetes cases in the last two decades. Recent advances …
has been a noticeable increase in diabetes cases in the last two decades. Recent advances …
Development and validation of a model to predict posttraumatic stress disorder and major depression after a motor vehicle collision
Importance A substantial proportion of the 40 million people in the US who present to
emergency departments (EDs) each year after traumatic events develop posttraumatic stress …
emergency departments (EDs) each year after traumatic events develop posttraumatic stress …
A novel automated SuperLearner using a genetic algorithm-based hyperparameter optimization
Industrial revolution 4.0 has pushed industries worldwide to use machine learning (ML)
models to address real-world engineering problems. The industry generally faces two main …
models to address real-world engineering problems. The industry generally faces two main …
Predicting suicide attempts among US Army soldiers after leaving active duty using information available before leaving active duty: results from the Study to Assess …
Suicide risk is elevated among military service members who recently transitioned to civilian
life. Identifying high-risk service members before this transition could facilitate provision of …
life. Identifying high-risk service members before this transition could facilitate provision of …
HELA: A novel hybrid ensemble learning algorithm for predicting academic performance of students
SB Keser, S Aghalarova - Education and Information Technologies, 2022 - Springer
Education plays a major role in the development of the consciousness of the whole society.
Education has been improved by analyzing educational data related to student academic …
Education has been improved by analyzing educational data related to student academic …
An empirical evaluation of stacked ensembles with different meta-learners in imbalanced classification
The selection of a meta-learner determines the success of a stacked ensemble as the meta-
learner is responsible for the final predictions of the stacked ensemble. Unfortunately, in …
learner is responsible for the final predictions of the stacked ensemble. Unfortunately, in …
[HTML][HTML] Simplification of mobility tests and data processing to increase applicability of wearable sensors as diagnostic tools for Parkinson's disease
Quantitative mobility analysis using wearable sensors, while promising as a diagnostic tool
for Parkinson's disease (PD), is not commonly applied in clinical settings. Major obstacles …
for Parkinson's disease (PD), is not commonly applied in clinical settings. Major obstacles …
Toward enhancing web privacy on HTTPS traffic: A novel SuperLearner attack model and an efficient defense approach with adversarial examples
Web privacy-enhancing technologies have been grown to preserve the users' privacy
against sophisticated traffic analysis attacks aimed at inferring sensitive information. An …
against sophisticated traffic analysis attacks aimed at inferring sensitive information. An …