Ensemble Techniques | List of Frontiers open access articles

Systematic Review

Published on 15 Feb 2023

Artificial intelligence-based non-small cell lung cancer transcriptome RNA-sequence analysis technology selection guide

in Bioprocess Engineering

Min Soo Joo
Kyoung-Ho Pyo
Jong-Moon Chung
Byoung Chul Cho

Frontiers in Bioengineering and Biotechnology

doi 10.3389/fbioe.2023.1081950

7,774 views
10 citations

Original Research

Published on 19 Mar 2020

AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures

in Medicine and Public Health

Shruti Kaushik
Abhinav Choudhury
Pankaj Kumar Sheron
Nataraj Dasgupta
Sayee Natarajan
Larry A. Pickett
Varun Dutt

Frontiers in Big Data

doi 10.3389/fdata.2020.00004

66,586 views
174 citations

Original Research

Published on 11 Sep 2025

Leveraging pre-trained embeddings in an ensemble machine learning approach for Arabic sentiment analysis

in Natural Language Processing

Areej Jaber
Israa Bahati
Paloma Martínez

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1653728

2,149 views
1 citation

Original Research

Published on 30 Jan 2025

Prediction of traditional Chinese medicine for diabetes based on the multi-source ensemble method

in Experimental Pharmacology and Drug Discovery

Bin Yang
Qingyun Chi
Xiang Li
Jinglong Wang

Frontiers in Pharmacology

doi 10.3389/fphar.2025.1454029

4,113 views
3 citations

Review

Published on 07 Mar 2019

New Views of the Glomerulus: Advanced Microscopy for Advanced Diagnosis

in Nephrology

James M. Pullman

Frontiers in Medicine

doi 10.3389/fmed.2019.00037

8,151 views
18 citations

Original Research

Published on 07 Jun 2023

Classification of porcine reproductive and respiratory syndrome clinical impact in Ontario sow herds using machine learning approaches

in Veterinary Epidemiology and Economics

Akshay Chadha
Rozita Dara
David L. Pearl
Daniel Gillis
Thomas Rosendal
Zvonimir Poljak

Frontiers in Veterinary Science

doi 10.3389/fvets.2023.1175569

3,356 views
3 citations

Original Research

Published on 15 Apr 2025

Validation of machine learning-based models to predict and explain the risk of ovarian cancer: a multicentric study on BRCA-mutated patients undergoing risk-reducing salpingo-oophorectomy

in Gynecological Oncology

Vera Loizzi
Maria Colomba Comes
Francesca Arezzo
Adriana Ionelia Apostol
Samantha Bove
Annarita Fanizzi
Robert Fruscio
Vanesa Gregorc
Francesco Legge
Rosanna Mancari

Frontiers in Oncology

doi 10.3389/fonc.2025.1574037

2,695 views

Articles

Artificial intelligence-based non-small cell lung cancer transcriptome RNA-sequence analysis technology selection guide

AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures

Leveraging pre-trained embeddings in an ensemble machine learning approach for Arabic sentiment analysis

Prediction of traditional Chinese medicine for diabetes based on the multi-source ensemble method

New Views of the Glomerulus: Advanced Microscopy for Advanced Diagnosis

Classification of porcine reproductive and respiratory syndrome clinical impact in Ontario sow herds using machine learning approaches

Validation of machine learning-based models to predict and explain the risk of ovarian cancer: a multicentric study on BRCA-mutated patients undergoing risk-reducing salpingo-oophorectomy