Search Results - "Tümer Sivri, Talya"

Visual Lip Reading Dataset in Turkish by Berkol, Ali, Tümer-Sivri, Talya, Pervan-Akman, Nergis, Çolak, Melike, Erdem, Hamit

“…The promised dataset was obtained from daily Turkish words and phrases pronounced by various people in videos posted on YouTube. The purpose of compiling the…”
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A data-centric unsupervised 3D mesh segmentation method by Sivri, Talya Tümer, Sahillioğlu, Yusuf

“…In this paper, a novel data-centric approach is proposed for solving the 3D mesh segmentation problem. The method uses node2vec, a semi-supervised learning…”
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Lip Reading Using Various Deep Learning Models with Visual Turkish Data by Berkol, Ali, Tümer Sivri, Talya, Erdem, Hamit

“…In Human-Computer Interaction, lip reading is essential and still an open research problem. In the last decades, there have been many studies in the field of…”
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A Data-Centric Unsupervised 3D Mesh Segmentation Method by Tümer-Sivri, Talya

“…Modeling, texture mapping, shape compression, simplification, and skeleton extracting are popular and essential topics in mesh segmentation applications. As it…”
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Lip Reading Multiclass Classification by Using Dilated CNN with Turkish Dataset by Akman, Nergis Pervan, Sivri, Talya Tumer, Berkol, Ali, Erdem, Hamit

“…Lip reading is the process of observing a speaker's face to assess speech patterns, movements, gestures, and expressions. The capacity to teach computers to…”
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Multiclass Classification Using Arctangent Activation Function and Its Variations by Sivri, Talya Tumer, Akman, Nergis Pervan, Berkol, Ali

“…Deep learning have been applied in life changing areas. Wide range of areas shows how successful deep learning is. There are several reasons why deep neural…”
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Breast Cancer Detection Using Various Classification Models Combined with Transfer Learning by Bor, Nesil, Sivri, Talya Tumer, Akman, Nergis Pervan, Berkol, Ali, Ekici, Yahya

“…When mortality rates are considered, breast cancer is among the most common forms of cancer worldwide. As with every cancer, early diagnosis and treatment are…”
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A Study of Disease Prediction on Weighted Symptom Data Using Deep Learning and Machine Learning Algorithms by Colak, Melike, Sivri, Talya Tumer, Akman, Nergis Pervan, Berkol, Ali, Ekici, Yahya

“…Artificial intelligence has gained significant power in the health sector with the increase in electronic data obtained from biomedical and health services…”
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