Results 81 to 90 of about 545,162 (339)

EmoTxt: A Toolkit for Emotion Recognition from Text

open access: yes, 2017
We present EmoTxt, a toolkit for emotion recognition from text, trained and tested on a gold standard of about 9K question, answers, and comments from online interactions. We provide empirical evidence of the performance of EmoTxt.
Calefato, Fabio   +2 more
core   +1 more source

Cognitive Functioning in Vorinostat‐Treated Pediatric and Young Adult Patients Over the First 180 Days After Hematopoietic Stem Cell Transplant

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Cognitive and psychological difficulties could negatively interfere with treatment adherence and quality of life before and after hematopoietic stem cell transplant (HSCT). Methods to mitigate these changes may have positive effects on treatment success.
Kristen L. Votruba   +11 more
wiley   +1 more source

Music Emotion Recognition Based on Deep Learning: A Review

open access: yesIEEE Access
In recent years, with the development of the digital era, music emotion recognition technology has been widely used in the fields of music recommendation system, music classification, psychotherapy, music visualization, background music generation, smart
Xingguo Jiang   +3 more
doaj   +1 more source

Recognition of Emotion Intensities Using Machine Learning Algorithms: A Comparative Study

open access: yesSensors, 2019
Over the past two decades, automatic facial emotion recognition has received enormous attention. This is due to the increase in the need for behavioral biometric systems and human–machine interaction where the facial emotion recognition and the ...
Dhwani Mehta   +2 more
doaj   +1 more source

Cross-Subject EEG Emotion Recognition With Self-Organized Graph Neural Network

open access: yesFrontiers in Neuroscience, 2021
As a physiological process and high-level cognitive behavior, emotion is an important subarea in neuroscience research. Emotion recognition across subjects based on brain signals has attracted much attention. Due to individual differences across subjects
Jingcong Li   +6 more
doaj   +1 more source

Arousal and Valence Prediction in Spontaneous Emotional Speech: Felt versus Perceived Emotion [PDF]

open access: yes, 2009
In this paper, we describe emotion recognition experiments carried out for spontaneous affective speech with the aim to compare the added value of annotation of felt emotion versus annotation of perceived emotion.
Jong, Franciska M.G. de   +3 more
core   +4 more sources

Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization

open access: yes, 2018
Emotion is a key element in user-generated videos. However, it is difficult to understand emotions conveyed in such videos due to the complex and unstructured nature of user-generated content and the sparsity of video frames expressing emotion.
Fu, Yanwei   +4 more
core   +1 more source

Down‐regulation of Shh in the hair follicles of mice during chemotherapy‐induced hair loss is mediated by the JAK/STAT1 signaling pathway

open access: yesFEBS Open Bio, EarlyView.
We found that during chemotherapy‐induced alopecia (CIA), Sonic hedgehog (Shh) expression significantly decreased in hair follicle Shh+ cells, whereas the Janus‐activated kinase/signal transducer and activator of transcription 1 (JAK/STAT1) signaling pathway was markedly activated.
Ruifang Fan   +6 more
wiley   +1 more source

3477 Impaired emotion recognition accuracy after right-hemisphere stroke

open access: yesJournal of Clinical and Translational Science, 2019
OBJECTIVES/SPECIFIC AIMS: Every year, approximately 800,000 Americans suffer a stroke. Supportive social environments are recognized as an important factor contributing to successful stroke recovery, yet, stroke lesions can affect brain areas important ...
Katherine OConnell   +2 more
doaj   +1 more source

Enhancing Mouth-Based Emotion Recognition Using Transfer Learning

open access: yesSensors, 2020
This work concludes the first study on mouth-based emotion recognition while adopting a transfer learning approach. Transfer learning results are paramount for mouth-based emotion emotion recognition, because few datasets are available, and most of them ...
Valentina Franzoni   +3 more
doaj   +1 more source

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