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Part 4: Pattern Recognition and Image ProcessingInternational audienceRecently, eye states are used as inputs to various applications such as facial expression recognition systems, human-computer interaction and driver fatigue detection systems. Especially with the prominence of human computer interaction, eye state detection has drawn great attention in the past decade. In this study, an eye state detection system based on Circular Hough Transform (CHT) has been offered. Initially, face and eye images are extracted from given gray-level images. After some preprocessing steps, existence of circular iris structure is searched within the extracted eye image using CHT. Existence of circular iris structure is searched within the eye image with the help of circular Hough transform. Eyes are decided as open if iris could identified as a circle

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Melanoma is a rare skin cancer that constitutes only 1% of skin cancer cases. However, its ability to spread to other organs makes it deadliest among the four major cancer types. Early diagnosis of melanoma is essential, as it prevents cancer from spreading to other body parts, therefore significantly reducing mortality rates. In this study, we presented a forward selection‐based ensembling strategy for deep neural networks to aid the diagnosis of melanoma in dermoscopy images. The proposed approach uses an ensemble of neural networks with varying input sizes to effectively capture size‐related various properties of dermoscopy images. To this end, EfficientNet models B3–B7 are used with input resolutions of 256, 384, 512, and 768. Training and validation are carried out in a triple stratified cross‐validation style with folds providing patient isolation, balance in the percentage of classes and balanced patient count distribution. Ensembles are formed by a modified form of forward selection algorithm. Experimental results show that the AUC for classification is increased by 2.01% using the proposed ensembling scheme.

Libri: Kitap Tanıtımı, Eleştiri ve Çeviri Dergisi'nde bulunan içeriklerin tümü kullanıcılara açık, serbestçe/ücretsiz "açık erişimli" bir dergidir. Kullanıcılar, yayıncıdan ve yazar(lar)dan izin almaksızın, dergideki kitap tanıtımlarını, eleştirileri ve çevirileri tam metin olarak okuyabilir, indirebilir, dağıtabilir, çıktısını alabilir ve kaynak göstererek bağlantı verebilir. Libri, uluslararası hakemli elektronik (online) bir dergi olup değerlendirme süreci biten kitap tanıtımları, eleştiriler ve çeviriler derginin web sitesinde (libridergi.org) yıl boyunca ilgili sayının içinde (Sayı III: Ocak-Aralık 2018) yayımlanır. Aralık ayı sonunda ilgili yıla ait sayı tamamlanır. Dergide yayımlanan eserlerin sorumluluğu yazarlarına aittir.