Güncel Gönderiler: Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed
Toplam kayıt 7740, listelenen: 5741-5760
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Fuzzy Rule-Based System for Predicting Daily Case in COVID-19 Outbreak
(Institute of Electrical and Electronics Engineers Inc., 2020)The Covid-19 outbreak appeared in Wuhan in December 2019 and spread rapidly all over the world. The Covid-19 disease does not yet have a clinically proven vaccine and drug for treatment. The most important physical factors ... -
Predicting depression and emotions in the cross-roads of cultures, para-linguistics, and non-linguistics
(Association for Computing Machinery, Inc, 2019)Cross-language, cross-cultural emotion recognition and accurate prediction of affective disorders are two of the major challenges in affective computing today. In this work, we compare several systems for Detecting Depression ... -
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 ... -
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 ... -
Movie Emotion Estimation with Multimodal Fusion and Synthetic Data Generation
(IEEE, 2019)In this work, we propose a method for automatic emotion recognition from movie clips. This problem has applications in indexing and retrieval of large movie and video collections, summarization of visual content, selection ... -
Oak Leaf Classification: An Analysis of Features and Classifiers
(IEEE, 2019)Automatic classification of trees from leaves is a popular computer vision/machine learning task and has important applications in monitoring of forest wealth. While the final aim is preparing an application, which is ... -
Modeling short-term and long-term dependencies of the speech signal for paralinguistic emotion classification
(St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 2019)Recently, Speech Emotion Recognition (SER) has become an important research topic of affective computing. It is a difficult problem, where some of the greatest challenges lie in the feature selection and representation ... -
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. ... -
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 ... -
Performance Evaluation of Classification Methods in Layout Prediction of Web Pages
(IEEE, 2018)The Web is an invaluable source of data stored on web pages. These data are contained in HTML layout elements of a web page. It is a crucial issue to extract data automatically from a web page. In this study, a dataset, ... -
A review on determination of computer aid diagnosis and/or risk factors using data mining methods in veterinary field
(Ataturk Universitesi, 2019)Data mining is an interdisciplinary field. In this field, statistical analysis techniques and artificial intelligence algorithms are used. Thanks to the algorithms used, hidden information within the data is revealed and ... -
A new heuristic approach for treating missing value: ABCIMP
(Kauno Technologijos Universitetas, 2019)Missing values in datasets present an important problem for traditional and modern statistical methods. Many statistical methods have been developed to analyze the complete datasets. However, most of the real world datasets ... -
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 ... -
Examining the Impact of Feature Selection on Classification of User Reviews in Web Pages
(IEEE, 2018)The user reviews in web pages can provide useful information about the content of the web page for text processing applications. Automatically extracting data from a web page is a crucial process for these applications. ... -
Meniscus Tear Classification Using Histogram of Oriented Gradients in Knee MR Images
(IEEE, 2018)Automatic segmentation and classification studies in medical images have been intensely studied in recent years. The results obtained will support the decisions of medical experts. In this study, features were obtained by ... -
Efficient and effective strategies for cross-corpus acoustic emotion recognition
(Elsevier, 2018)An important research direction in speech technology is robust cross-corpus and cross-language emotion recognition. In this paper, we propose computationally efficient and performance effective feature normalization ... -
Feature Selection and Multimodal Fusion for Estimating Emotions Evoked by Movie Clips
(Assoc Computing Machinery, 2018)Perceptual understanding of media content has many applications, including content-based retrieval, marketing, content optimization, psychological assessment, and affect-based learning. In this paper, we model audio visual ... -
Parameter calibration with Modified Artificial Bee Colonies Algorithm
(Institute of Electrical and Electronics Engineers Inc., 2018)Analytical solutions are not possible due to the complexity and large-scale data sets of complex systems. In order to facilitate the examination of these systems, agent based modeling and simulation techniques are often ... -
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, ...
