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Eye-Tracking Signals Based Affective Classification Employing Deep Gradient Convolutional Neural Networks
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-12)
Utilizing biomedical signals as a basis to calculate the human affective states is an essential issue of affective computing (AC). With the in-depth research on affective signals, the combination of multi-model cognition ...
Deep Feature Representation and Similarity Matrix based Noise Label Refinement Method for Efficient Face Annotation
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-12)
Face annotation is a naming procedure that assigns the correct name to a person emerging from an image. Faces that are manually annotated by people in online applications include incorrect labels, giving rise to the issue ...
Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-12)
Machine recognition of the human activities is an active research area in computer vision. In previous study, either one or two types of modalities have been used to handle this task. However, the grouping of maximum ...
Acoustic Classification of Mosquitoes using Convolutional Neural Networks Combined with Activity Circadian Rhythm Information
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-12)
Many researchers have used sound sensors to record audio data from insects, and used these data as inputs of machine learning algorithms to classify insect species. In image classification, the convolutional neural network ...
Music Boundary Detection using Convolutional Neural Networks: A Comparative Analysis of Combined Input Features
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-12)
The analysis of the structure of musical pieces is a task that remains a challenge for Artificial Intelligence, especially in the field of Deep Learning. It requires prior identification of the structural boundaries of the ...