Results 101 to 110 of about 2,450,039 (300)

Ordinal regression Part 2: Multiple ordinal regression

, 2021
In this video, Dr Heini Väisänen explores multiple ordinal regression models with more than one exponential variable. She also looks at statistical significance and how it can be determined in such a model.
Väisänen, Heini
core   +1 more source

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

Advanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini, Elena Adelucci, Stefano Scatigna, Lorenzo Pugi, Alice Bruni, Benedetta Carotenuto, Chiara Pecini, Filippo Cavallo   +7 more
wiley   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Robust Ordinal Regression

, 2014
Any multiple Criteria Decision Aiding (MCDA) method needs some preference parameters. The Decision Maker (DM) could be asked to provide directly all these parameters; however, because it needs a great cognitive effort, the indirect preference information is more used in practice. Starting from the indirect preference information, usually there could be
Corrente S, GRECO, Salvatore, Kadziński M, Słowiński R.   +3 more
openaire   +3 more sources

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Pasta, a Versatile Transcriptomic Clock, Maps the Chemical and Genetic Determinants of Aging and Rejuvenation

Advanced Science, EarlyView.
Pasta is a transcriptomic aging clock built on an age‐shift learning framework and trained on 17 000 samples across 21 datasets. It accurately predicts relative biological age across tissues, platforms, and species, captures stemness‐to‐senescence transitions, and identifies age‐modulatory perturbations.
Jérôme Salignon, Maria Tsiokou, Patricia Marqués, Enriqueta Rodríguez‐Diaz, Hazel Ang, Federico Pietrocola, Christian G. Riedel   +6 more
wiley   +1 more source

SAS Macro BDM for Fitting the Dale Regression Model to Bivariate Ordinal Response Data [PDF]

A SAS macro for fitting an extension of the Dale (1986) regression model to bivariate ordinal data is provided. The macro is described in detail and examples from Dale (1986) and McMillan, Hanson, Bedrick, and Lapham (2005) are discussed.
Garnett McMillan, Timothy Hanson
core  

Ordinal Logistic Regression as an alternative analysis strategy for the comparison of two independent samples [PDF]

, 2021
The two group between subjects design is pervasive with analyses often performed using the Mann Whitney Rank Sum test or using the Welch variant of the t-test.
Bilski, Bartlomiej, Derrick, Ben, Toher, Deirdre, White, Paul   +3 more
core  

A Rare De Novo Missense Mutation in IFT122 Confers a Genetic Susceptibility Factor of Idiopathic Pediatric Uveitis Via Trio‐based Whole‐Exome Sequencing

Advanced Science, EarlyView.
A rare de novo IFT122‐A773E variant is identified in idiopathic pediatric uveitis and shown to exacerbate retinal inflammation and barrier dysfunction. Mechanistically, the variant enhances IFT43 interaction, elevates calcium signaling, and activates the MEK/ERK/FRA1 axis, revealing a previously unrecognized cilia‐associated pathway that may increase ...
Qian Zhou, Jiaxing Huang, Yilin Wang, Xingran Li, Xianyang Liu, Lingyu Dai, Hongshun Li, Qingfeng Wang, Jiangyi Liu, Guannan Su, Wanyun Zhang, Yang Deng, Qingfeng Cao, Yujie Lai, Xiang Luo, Changwei Huang, Ling Chen, Shengping Hou, Peizeng Yang   +18 more
wiley   +1 more source

ENSEMBLE BAGGING WITH ORDINAL LOGISTIC REGRESSION TO CLASSIFY TODDLER NUTRITIONAL STATUS

Barekeng
One problem in classifying stunting data is that the data used does not have a balanced proportion. This study aims to apply the logistic regression classification method with ordinal scale response variables to overcome class imbalance through the ...
Luthfia Hanun Yuli Arini, Solimun Solimun, Achmad Efendi, Adji Achmad Rinaldo Fernandes   +3 more
doaj   +1 more source