CatBoost for big data: an interdisciplinary review
JT Hancock, TM Khoshgoftaar - Journal of big data, 2020 - Springer
Abstract Gradient Boosted Decision Trees (GBDT's) are a powerful tool for classification and
regression tasks in Big Data. Researchers should be familiar with the strengths and …
regression tasks in Big Data. Researchers should be familiar with the strengths and …
[HTML][HTML] Artificial intelligence and machine learning overview in pathology & laboratory medicine: A general review of data preprocessing and basic supervised …
S Albahra, T Gorbett, S Robertson, G D'Aleo… - Seminars in Diagnostic …, 2023 - Elsevier
Abstract Machine learning (ML) is becoming an integral aspect of several domains in
medicine. Yet, most pathologists and laboratory professionals remain unfamiliar with such …
medicine. Yet, most pathologists and laboratory professionals remain unfamiliar with such …
A comparative analysis of machine learning techniques for cyberbullying detection on twitter
The advent of social media, particularly Twitter, raises many issues due to a
misunderstanding regarding the concept of freedom of speech. One of these issues is …
misunderstanding regarding the concept of freedom of speech. One of these issues is …
[HTML][HTML] An in-depth analysis of machine learning approaches to predict depression
Among all the forms of psychological and mental disorders, depression is the most common
form. Nowadays a large number of youths and adults around the world suffer from …
form. Nowadays a large number of youths and adults around the world suffer from …
[HTML][HTML] Ambient assisted living: scoping review of artificial intelligence models, domains, technology, and concerns
Background Ambient assisted living (AAL) is a common name for various artificial
intelligence (AI)—infused applications and platforms that support their users in need in …
intelligence (AI)—infused applications and platforms that support their users in need in …
[HTML][HTML] Evaluating the predictive power of different machine learning algorithms for groundwater salinity prediction of multi-layer coastal aquifers in the Mekong Delta …
Groundwater salinization is considered as a major environmental problem in worldwide
coastal areas, influencing ecosystems and human health. However, an accurate prediction …
coastal areas, influencing ecosystems and human health. However, an accurate prediction …
E-CatBoost: An efficient machine learning framework for predicting ICU mortality using the eICU Collaborative Research Database
N Safaei, B Safaei, S Seyedekrami, M Talafidaryani… - Plos one, 2022 - journals.plos.org
Improving the Intensive Care Unit (ICU) management network and building cost-effective
and well-managed healthcare systems are high priorities for healthcare units. Creating …
and well-managed healthcare systems are high priorities for healthcare units. Creating …
[HTML][HTML] A machine learning application in wine quality prediction
The wine business relies heavily on wine quality certification. The excellence of New
Zealand Pinot noir wines is well-known worldwide. Our major goal in this research is to …
Zealand Pinot noir wines is well-known worldwide. Our major goal in this research is to …
EEG-based emotion analysis using non-linear features and ensemble learning approaches
Recognition of emotions based on electroencephalography (EEG) has become one of the
most emerging topics for healthcare, education system, knowledge sharing, gaming, and …
most emerging topics for healthcare, education system, knowledge sharing, gaming, and …
An improved flood susceptibility assessment in Jeddah, Saudi Arabia, using advanced machine learning techniques
The city of Jeddah experienced a severe flood in 2020, resulting in loss of life and damage
to property. In such scenarios, a flood forecasting model can play a crucial role in predicting …
to property. In such scenarios, a flood forecasting model can play a crucial role in predicting …