Sökning: "emotion recognition accuracy training"

Hittade 3 avhandlingar innehållade orden emotion recognition accuracy training.

1. 1. I know how you feel : Emotion recognition accuracy and training in psychotherapy education

   Författare :Lillian Döllinger; Stephan Hau; Håkan Fischer; Patrick Luyten; Stockholms universitet; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; emotion recognition accuracy; psychotherapy education; trainee psychotherapists; psychotherapist competencies; psychotherapist characteristics; emotion recognition accuracy training; multimodal emotion recognition; micro expressions; psychodynamic psychotherapy; cognitive behavioral therapy; psykologi; Psychology;

   Sammanfattning : Researchers, practitioners and legislators agree that it is important to understand which kinds of psychotherapeutic treatments lead to lasting positive changes in patients’ well-being, how those treatments can be administered in efficient ways and how it can be determined which patients would benefit from which treatment. In recent years, there has also been growing interest in those who practice psychotherapy; specifically, in the socio-emotional and interpersonal characteristics and competencies that psychotherapists should possess to provide high quality treatments for a variety of patients, irrespective of psychotherapy approach. LÄS MER

3. 2. Emotion recognition and expression in autism spectrum disorder : significance, complexity, and effect of training

   Författare :Steve Berggren; Karolinska Institutet; Karolinska Institutet; []
   Nyckelord :;

   Sammanfattning : The overall scientific aim of this thesis is to examine emotion recognition in children with Autism Spectrum Disorder (ASD), its specificity to ASD and connection to other cognitive functions, as well as to map the effects of previous and novel emotion recognition and emotion expression training programs in children with ASD across cultures. Emotion processing training in ASD is a potentially valuable tool to improve the lives and outcomes of children with ASD, but it has been lacking an adequate scientific preparation, content and motivational design, as well as high-end technical expertise. LÄS MER

4. 3. Balancing Privacy and Performance in Emerging Applications of Federated Learning

   Författare :Samaneh Mohammadi; Francesco Flammini; Ali Balador; Andreas Hellander; Mälardalens universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Science; datavetenskap;

   Sammanfattning : Federated Learning (FL) has emerged as a novel paradigm within machine learning (ML) that allows multiple devices to collaboratively train a shared ML model without sharing their private data with a central server. FL has gained popularity across various applications by eliminating the necessity for centralized data storage, thereby improving the confidentiality of sensitive information. LÄS MER