Results 231 to 240 of about 1,954,648 (281)

Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons, Nuria Guillen, Jordi Sarto, Neus Falgàs, Sergi Borrego‐Écija, Diana Esteller‐Gauxax, Magda Castellví, Adrià Tort‐Merino, Agnès Pérez‐Millan, Anna Antonell, Josep M. Augè Fradera, Gerard Piñol, Iolanda Riba, Anna Carnes‐Vendrell, Marta Cullell, Maria Teresa Osuna, Lorena Bajo, Teresa Romero, Eva Bonjoch, Joan Bello, Susana Fernández, Marta Balagué, Isabel Gómez‐Ruiz, Anuncia Boltes, Claustre Pont, Raquel Cuevas, Sara Carrillo, Laura Iglesias, Teresa Maria Casadevall Codina, Lorena Grau Guinea, Fernando Jose Espada, Raquel Sánchez‐Valle, Mircea Balasa, Albert Lladó   +33 more
wiley   +1 more source

An adaptive emotion aware music education system using machine learning for personalized emotional wellbeing enhancement. [PDF]

Sci Rep
Deng X, Zhou Y, Guan X, Wang Y.
europepmc   +1 more source

AI-driven proactive music therapy in the era of digital mental health. [PDF]

Front Psychol
Li F, Zhang C, Liu C, Jia H, Wang Z.
europepmc   +1 more source

Transformer-based emotion recognition in interactive art: A multimodal neural approach. [PDF]

PLoS One
Chen X, Abdul Aziz A, Ibrahim Z.
europepmc   +1 more source

MetaEmo: a meta-learning and culturally adaptive framework for dynamic emotional recognition in cross-cultural classrooms. [PDF]

Front Psychol
Li J, Wang Z.
europepmc   +1 more source

EEG and ECG Wearable Biosensor-Based Affective State Analysis Using Deep Learning over 6G IoT Healthcare Networks. [PDF]

Biosensors (Basel)
Bıçakcı Yeşilkaya HS, Özbaltan M, Özbaltan N, Şeker C, Yeşilkaya B, Yalçınkaya B.   +5 more
europepmc   +1 more source

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Affective Computing and Autism

Annals of the New York Academy of Sciences, 2006
Abstract: This article highlights the overlapping and converging goals and challenges of autism research and affective computing. We propose that a collaboration between autism research and affective computing could lead to several mutually beneficial outcomes—from developing new tools to assist people with autism in understanding and operating in the ...
Simon Baron-Cohen, Rosalind Picard, Rana El Kaliouby   +2 more
exaly   +3 more sources

A review of affective computing: From unimodal analysis to multimodal fusion [PDF]

Information Fusion, 2017
Affective computing is an emerging interdisciplinary research field bringing together researchers and practitioners from various fields, ranging from artificial intelligence, natural language processing, to cognitive and social sciences.
Soujanya Poria, Erik Cambria, Amir Hussain   +2 more
exaly   +2 more sources

Affective Computing [Scanning the Issue]

Proceedings of the IEEE, 2023
Björn W Schuller, Matti Pietikäinen
exaly   +2 more sources

Affective Computing

2023
With the invention of high-power computing systems, machines are expected to show intelligence at par with human beings. A machine must be able to analyze and interpret emotions to demonstrate intelligent behavior. Affective computing not only helps computers to improve performance intelligently but also helps in decision-making.
Ramón Zatarain Cabada, Héctor Manuel Cárdenas López, Hugo Jair Escalante   +2 more
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