Results 81 to 90 of about 1,243,089 (305)

Explainable AI-based feature importance analysis for ovarian cancer classification with ensemble methods

Frontiers in Public Health
IntroductionOvarian Cancer (OC) is one of the leading causes of cancer deaths among women. Despite recent advances in the medical field, such as surgery, chemotherapy, and radiotherapy interventions, there are only marginal improvements in the diagnosis ...
Ashwini Kodipalli, Ashwini Kodipalli, V. Susheela Devi, Shyamala Guruvare, Taha Ismail   +4 more
doaj   +1 more source

A Corrective to Bovens and Hartmann's Measure of Coherence [PDF]

, 2004
Bovens and Hartmann (2003a, 2003b) propose to analyze coherence as a confidence-boosting property. On the basis of this idea, they construct a new probabilistic theory of coherence.
Meijs, Wouter
core  

Boosting of Image Denoising Algorithms

, 2015
In this paper we propose a generic recursive algorithm for improving image denoising methods. Given the initial denoised image, we suggest repeating the following "SOS" procedure: (i) (S)trengthen the signal by adding the previous denoised image to the ...
Elad, Michael, Romano, Yaniv
core   +1 more source

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

Molecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley, Michael W. Rohr, Joseph A. Goode, Sai Preethi Nakkina, Jignesh G. Parikh, Deborah A. Altomare   +5 more
wiley   +1 more source

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

FEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini, Nicolò Antonelli, Gianluca Molla   +2 more
wiley   +1 more source

Comparing Person-Specific and Independent Models on Subject-Dependent and Independent Human Activity Recognition Performance

Sensors, 2020
The distinction between subject-dependent and subject-independent performance is ubiquitous in the human activity recognition (HAR) literature. We assess whether HAR models really do achieve better subject-dependent performance than subject-independent ...
Sebastian Scheurer, Salvatore Tedesco, Brendan O’Flynn, Kenneth N. Brown   +3 more
doaj   +1 more source

Investigating the Effect of Process-based Instruction of Writing on the IELTS Writing Task Two Performance of Iranian EFL Learners: Focusing on Hedging & Boosting

Cogent Education, 2021
The instruction of metadiscourse markers to L2 writers has been recommended by some scholars to assist them in employing a certain tone in persuading readers.
Mojgan Firoozjahantigh, Ebrahim Fakhri Alamdari, Amir Marzban   +2 more
doaj   +1 more source

Boosting

, 2012
An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate “rules of thumb.” A ...
Schapire, Robert E., Freund, Yoav
openaire   +2 more sources

Navigating new norms: a systematic review of factors for the development of effective digital tools in higher education

FEBS Open Bio, EarlyView.
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman, Jessica Haines, Connie Pritchard, Stephen Rutherford, Nigel Francis   +4 more
wiley   +1 more source

Boosting Barlow Twins Reduced Order Modeling for Machine Learning‐Based Surrogate Models in Multiphase Flow Problems

Water Resources Research
We present an innovative approach called boosting Barlow Twins reduced order modeling (BBT‐ROM) to enhance the reliability of machine learning surrogate models for multiphase flow problems.
T. Kadeethum, V. L. S. Silva, P. Salinas, C. C. Pain, H. Yoon   +4 more
doaj   +1 more source