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Toplam kayıt 70, listelenen: 1-10
A model for predicting drying time period of wool yarn bobbins using computational intelligence techniques
(Sage Publications Ltd, 2015)
In this study, a predictive model has been developed using computational intelligence techniques for the prediction of drying time in the wool yarn bobbin drying process. The bobbin drying process is influenced by various ...
An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance images
(Elsevier, 2019)
Menisci are structures that directly affect movement, so early detection of meniscus tears also helps to prevent progressive knee disorders such as osteoarthritis. Manual segmentation of the menisci and diagnosis of the ...
Video-based emotion recognition in the wild
(Academic Press Ltd-Elsevier Science Ltd, 2019)
[No Abstract Available]
Video-based emotion recognition in the wild using deep transfer learning and score fusion
(Elsevier, 2017)
Multimodal recognition of affective states is a difficult problem, unless the recording conditions are carefully controlled. For recognition in the wild, large variances in face pose and illumination, cluttered backgrounds, ...
Introducing Weighted Kernel Classifiers for Handling Imbalanced Paralinguistic Corpora: Snoring, Addressee and Cold
(Isca-Int Speech Communication Assoc, 2017)
The field of paralinguistics is growing rapidly with a wide range of applications that go beyond recognition of emotions, laughter and personality. The research flourishes in multiple directions such as signal representation ...
Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs
(IEEE, 2017)
We describe an end-to-end system for explainable automatic job candidate screening from video CVs. In this application, audio, face and scene features are first computed from an input video CV, using rich feature sets. ...
The Turkish Audio-Visual Bipolar Disorder Corpus
(IEEE, 2018)
This paper introduces a new audio-visual Bipolar Disorder (BD) corpus for the affective computing and psychiatric communities. The corpus is annotated for BD state, as well as Young Mania Rating Scale (YMRS) by psychiatrists. ...
LSTM based Cross-corpus and Cross-task Acoustic Emotion Recognition
(Isca-Int Speech Communication Assoc, 2018)
Acoustic emotion recognition is a popular and central research direction in paralinguistic analysis, due its relation to a wide range of affective states/traits and manifold applications. Developing highly generalizable ...
Virtual Reality Based 9 Hole Peg Test
(IEEE, 2018)
A physical test called the 9-Hole Peg Test (9HPT) is being used to measure progress in neurological disease, physiotherapy and rehabilitation treatment processes. During the application of this test, possible physical ...
Hierarchical Two-Level Modelling of Emotional States in Spoken Dialog Systems
(IEEE, 2019)
Emotions occur in complex social interactions, and thus processing of isolated utterances may not be sufficient to grasp the nature of underlying emotional states. Dialog speech provides useful information about context ...