Güncel Gönderiler: Fakülteler
Toplam kayıt 6779, listelenen: 5181-5200
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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, ... -
Comparative proteogenomic analysis of right-sided colon cancer, left-sided colon cancer and rectal cancer reveals distinct mutational profiles
(Bmc, 2018)Right-sided colon cancer (RCC) has worse prognosis compared to left-sided colon cancer (LCC) and rectal cancer. The reason for this difference in outcomes is not well understood. We performed comparative somatic and proteomic ... -
Two Dimensional Plotter With Arduino
(IEEE, 2017)This study was carried out within the scope of an undergraduate thesis. To produce an Arduino based two dimensional plotter mechanical parts were collected, assembled and targeted mechanism was created. After the integration ... -
Cipher with AES
(IEEE, 2018)After the DES (Data Encryption Standart) algorithm was unreliable, a content was held in September 1997 by the US National Institude of Standards and Technology (NEST) to designate a cryptographic algorithm for national ... -
AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition
(Assoc Computing Machinery, 2018)The Audio/Visual Emotion Challenge and Workshop (AVEC 2018) Bipolar disorder, and cross-cultural affect recognition is the eighth competition event aimed at the comparison of multimedia processing and machine learning ... -
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. ...
