Results 31 to 40 of about 224,408 (267)

Synergy of physics-based reasoning and machine learning in biomedical applications: towards unlimited deep learning with limited data

Advances in Physics: X, 2019
Technological advancements enable collecting vast data, i.e., Big Data, in science and industry including biomedical field. Increased computational power allows expedient analysis of collected data using statistical and machine-learning approaches ...
Valeriy Gavrishchaka, Olga Senyukova, Mark Koepke   +2 more
doaj   +1 more source

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

POISSON MIXED MODELS WITH A BOOSTING APPROACH FOR THE ANALYSIS OF COUNT DATA

Barekeng
Boosting is a powerful technique for enhancing predictive accuracy by iteratively reweighting observations, and is particularly effective in high-dimensional settings and for variable selection.
Ita Wulandari, Khairil Anwar Notodiputro, Bagus Sartono, Anwar Fitrianto, Anang Kurnia   +4 more
doaj   +1 more source

Data-Based Sensing and Stochastic Analysis of Biodiesel Production Process

Energies, 2018
Biodiesel production is a field of outstanding prospects due to the renewable nature of its feedstock and little to no overall CO2 emissions to the environment.
Iftikhar Ahmad, Ahsan Ayub, Uzair Ibrahim, Mansoor Khan Khattak, Manabu Kano   +4 more
doaj   +1 more source

Over- and Under-sampling Approach for Extremely Imbalanced and Small Minority Data Problem in Health Record Analysis

Frontiers in Public Health, 2020
A considerable amount of health record (HR) data has been stored due to recent advances in the digitalization of medical systems. However, it is not always easy to analyze HR data, particularly when the number of persons with a target disease is too ...
Koichi Fujiwara, Yukun Huang, Kentaro Hori, Kenichi Nishioji, Masao Kobayashi, Mai Kamaguchi, Manabu Kano   +6 more
doaj   +1 more source

Development and Evaluation of Ensemble Learning Models for Detection of DDOS Attacks in IoT

Hittite Journal of Science and Engineering, 2022
Internet of Things that process tremendous confidential data have difficulty performing traditional security algorithms, thus their security is at risk.
Selim Buyrukoğlu, Yıldıran Yılmaz
doaj   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source

Enhancing Premier League Match Outcome Prediction Using Support Vector Machine with Ensemble Techniques: A Comparative Study on Bagging and Boosting

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Predicting football match outcomes is a significant challenge in sports analytics, requiring models that are both accurate and resilient. This study evaluates the effectiveness of ensemble techniques, specifically Bagging and Boosting, in enhancing the ...
Agus Perdana Windarto, Putrama Alkhairi, Johan Muslim   +2 more
doaj   +1 more source

Explainability of a Machine Learning Granting Scoring Model in Peer-to-Peer Lending

IEEE Access, 2020
Peer-to-peer (P2P) lending demands effective and explainable credit risk models. Typical machine learning algorithms offer high prediction performance, but most of them lack explanatory power.
Miller Janny Ariza-Garzon, Javier Arroyo, Antonio Caparrini, Maria-Jesus Segovia-Vargas   +3 more
doaj   +1 more source

Variable selection methods for identifying predictor interactions in data with repeatedly measured binary outcomes

Journal of Clinical and Translational Science, 2021
Introduction: Identifying predictors of patient outcomes evaluated over time may require modeling interactions among variables while addressing within-subject correlation. Generalized linear mixed models (GLMMs) and generalized estimating equations (GEEs)
Bethany J. Wolf, Yunyun Jiang, Sylvia H. Wilson, Jim C. Oates   +3 more
doaj   +1 more source