Results 231 to 240 of about 338,614 (301)

Semi-supervised Learning Model Weights for Detecting Floating Plastic Litter

Tianlong Jia
openalex   +1 more source

An Examination of Racial Bias in Scoring the Autism Diagnostic Observation Schedule (ADOS) Module 3: An Item Response Theory Analysis

Autism Research, EarlyView.
ABSTRACT Given the rising prevalence of autism among racial minority children in the United States, but persistent service use disparities, this study examines potential bias in specific items from the autism diagnostic observation schedule (ADOS), a highly regarded autism evaluation.
Yuen Yvonne Yu, Austin Wyman, Calliana J. Faulk, Lizzy J. Fulop, Rebecca L. Greenberg, Rachel M. Benecke, Lauren K. Steinbeck, Jessica Foy, Caitlyn Kim, George O. Emory, Eric A. Storch, Casey J. Zampella, Benjamin E. Yerys, Robert T. Schultz, Julia Parish‐Morris, John D. Herrington, Caitlin C. Clements   +16 more
wiley   +1 more source

scRSSL: Residual semi-supervised learning with deep generative models to automatically identify cell types. [PDF]

IET Syst Biol
Gao Y, Duan H, Meng F, Zhang C, Li X, Li F.   +5 more
europepmc   +1 more source

Parental Stress and Caregiver Role Modulate Child–Caregiver Prosodic Synchrony in Autism: A Computational Analysis

Autism Research, EarlyView.
ABSTRACT Parental stress influences parent–child interactions in typical development and is a prognostic factor of autism outcome. However, we still do not know to what extent parental stress affects parent–child interactions and whether caregiver role matters.
Maria Grazia Logrieco, Giulio Bertamini, Laura Casula, Mohamed Chetouani, Silvia Guerrera, Mirco Fasolo, Paola Venuti, Maria Luisa Scattoni, Francesca Fulceri, Stefano Vicari, David Cohen, Giovanni Valeri   +11 more
wiley   +1 more source

Toward a Semi-Supervised Learning Approach to Phylogenetic Estimation. [PDF]

Syst Biol
Silvestro D, Latrille T, Salamin N.
europepmc   +1 more source

Iterative Semi-supervised Learning: Helping the User to Find the Right Records

, 2004
Chris Drummond
openalex   +2 more sources

Learner emotions and performance in hypercasual VR games with adaptive AI difficulty

British Educational Research Journal, EarlyView.
Abstract Hypercasual virtual reality games (HVRGs) are widely regarded as cost‐effective tools for rapid skill acquisition, yet the mechanisms that optimise their effectiveness and user acceptance remain insufficiently explored. This mixed‐methods empirical study investigates how playful emotions, characterised by engagement, enjoyment and anxiety ...
Zeeshan Ahmed, Faizan Ahmad, Chen Hui
wiley   +1 more source

Application of the Semi-Supervised Learning Approach for Pavement Defect Detection. [PDF]

Sensors (Basel)
Cui P, Bidzikrillah NA, Xu J, Qin Y.
europepmc   +1 more source

Entropy-Guided Agreement-Diversity: A Semi-Supervised Active Learning Framework for Fetal Head Segmentation in Ultrasound [PDF]

Fangyijie Wang, Siteng Ma, Guénolé Silvestre, Kathleen M. Curran   +3 more
openalex  

Risky or rigorous? Developing trustworthiness criteria for AI‐supported qualitative data analysis

Anatomical Sciences Education, EarlyView.
Michelle D. Lazarus, Linxuan Zhao, Andrew Gibson, Roberto Martinez‐Maldonado, Georgina C. Stephens   +4 more
wiley   +1 more source