Results 211 to 220 of about 3,499,798 (281)

Preparing for Tomorrow's Teamwork: Insights From eSports on How Human Expertise Shapes Training Needs for AI‐Integrated Work

Journal of Organizational Behavior, EarlyView.
ABSTRACT As organizations increasingly adopt human‐AI teams (HATs), understanding how to enhance team performance is paramount. A crucially underexplored area for supporting HATs is training, particularly helping human teammates to work with these inorganic counterparts.
Caitlin M. Lancaster, Christopher Flathmann, Jennifer Hsu, Nathan J. McNeese, Thomas A. O'Neill, Eduardo Salas   +5 more
wiley   +1 more source

A SAR Ship Detection Method Based on Adversarial Training. [PDF]

Sensors (Basel)
Li J, Yu Z, Chen J, Jiang H.
europepmc   +1 more source

Raman Spectroscopy and Generative Variational Autoencoders for Metallurgical Coke Quality Prediction

Journal of Raman Spectroscopy, EarlyView.
An integrated soft sensor framework combining standardized Raman spectroscopy, synergy‐vector feature selection, variational autoencoder‐based data augmentation, and regression models (kNN, PLS, and SVR) predicts metallurgical coke quality (CSR and DI).
Pedro Henrique Agrimpio Coutinho, Daniel Cruz Cavalieri, Adilson Ribeiro Prado   +2 more
wiley   +1 more source

Adversarial Training Based Domain Adaptation of Skin Cancer Images. [PDF]

Life (Basel)
Gilani SQ, Umair M, Naqvi M, Marques O, Kim HC.   +4 more
europepmc   +1 more source

Artificial Intelligence in Dermatology: Current Applications and Future Directions

JEADV Clinical Practice, EarlyView.
This scoping review of 56 studies maps AI applications in dermatology. Image‐based classification for skin cancer detection dominates (48%), followed by clinical decision support (21%), teledermatology triage (11%), and predictive analytics (11%). While deep learning algorithms demonstrate diagnostic performance comparable to clinicians in controlled ...
Sofía Pérez‐Lalinde, Francisco Flores   +1 more
wiley   +1 more source

Chinese Named Entity Recognition for Automobile Fault Texts Based on External Context Retrieving and Adversarial Training. [PDF]

Entropy (Basel)
Wang S, Sun L.
europepmc   +1 more source

Promises and limitations of deep learning for predicting knee osteoarthritis progression from medical imaging: A systematic review

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To systematically evaluate the performance, methodological quality, and translational barriers of deep learning (DL) models for predicting knee osteoarthritis (KOA) progression from medical imaging. Methods Following PRISMA guidelines, we searched PubMed, Scopus, and Web of Science (inception to June 2026) for peer‐reviewed studies ...
Amna Gillani, Rüdiger von Eisenhart‐Rothe, Klaus Woertler, Michael T. Hirschmann, Daniel Rueckert, Florian Hinterwimmer   +5 more
wiley   +1 more source

Drug repositioning based on residual attention network and free multiscale adversarial training. [PDF]

BMC Bioinformatics
Li G, Li S, Liang C, Xiao Q, Luo J.
europepmc   +1 more source

Artificial Intelligence‐Driven Natural Product Drug Discovery: From Computational Genome Mining to Clinical Translation

Medicinal Research Reviews, EarlyView.
ABSTRACT Natural products (NPs) have historically yielded numerous therapeutic agents, yet their integration into modern drug discovery has been constrained by chemical complexity, low abundance, laborious dereplication, and limited target annotation.
Antonio Lavecchia
wiley   +1 more source

Cross-Species Prediction of Transcription Factor Binding by Adversarial Training of a Novel Nucleotide-Level Deep Neural Network. [PDF]

Adv Sci (Weinh)
Zhang Q, Wang S, Li Z, Pan Y, Huang DS.
europepmc   +1 more source