MF - Makale Koleksiyonu | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Güncel Gönderiler
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Mitosis detection using generic features and an ensemble of cascade adaboosts
(Elsevier, 2013-05-30)Context: Mitosis count is one of the factors that pathologists use to assess the risk of metastasis and survival of the patients, which are affected by the breast cancer. Aims: We investigate an application of a set of ... -
A novel hybrid edge detection technique: ABC-FA
(ISRES Organizasyon Turizm Eğitim Danışmanlık Ltd. Şti., 2017-11-09)Image processing is a vast research field with diversified set of practices utilized in so many application areas such as military, security, medical imaging, machine learning and computer vision based on extracted useful ... -
Programlamaya giriş dersini alan öğrencilerin programlama öz yeterlilik algılarının ve programlamaya bakış açılarının incelenmesi
(Düzce Üniversitesi, 2021-05-29)Bu çalışmada üniversite öğrencilerinin Java programlama öz yeterlilik algıları, programlama öğrenme istekleri ve çalışma alışkanlıkları çeşitli değişkenlere göre (cinsiyet, bölüm, eğitim dili, harf notu, ders tekrarları ... -
From past to present: spam detection and identifying opinion leaders in social networks
(Yildiz Teknik Univ., 2022-06-22)On microblogging sites, which are gaining more and more users every day, a wide range of ideas are quickly emerging, spreading, and creating interactive environments. In some cases, in Turkey as well as in the rest of the ... -
ComStreamClust: a communicative multi-agent approach to text clustering in streaming data
(Springer Science and Business Media Deutschland GmbH, 2023-12)Topic detection is the task of determining and tracking hot topics in social media. Twitter is arguably the most popular platform for people to share their ideas with others about different issues. One such prevalent issue ... -
Closeness and uncertainty aware adversarial examples detection in adversarial machine learning
(Elsevier Ltd, 2022-07)While deep learning models are thought to be resistant to random perturbations, it has been demonstrated that these architectures are vulnerable to deliberately crafted perturbations, albeit being quasi-imperceptible. These ... -
Battle Royale Optimizer for solving binary optimization problems
(Elsevier B.V., 2022-05)Battle Royale Optimizer (BRO) is a recently proposed metaheuristic optimization algorithm used only in continuous problem spaces. The BinBRO is a binary version of BRO. The BinBRO algorithm employs a differential expression, ... -
Uncertainty as a Swiss army knife: new adversarial attack and defense ideas based on epistemic uncertainty
(Springer, 2022-04-02)Although state-of-the-art deep neural network models are known to be robust to random perturbations, it was verified that these architectures are indeed quite vulnerable to deliberately crafted perturbations, albeit being ... -
k-Means clustering by using the calculated Z-scores from QEEG data of children with dyslexia
(Taylor & Francis, 2023)Learning the subtype of dyslexia may help shorten the rehabilitation process and focus more on the relevant special education or diet for children with dyslexia. For this purpose, the resting-state eyes-open 2-min QEEG ... -
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples
(Springer, 2022-03)Deep neural network (DNN) architectures are considered to be robust to random perturbations. Nevertheless, it was shown that they could be severely vulnerable to slight but carefully crafted perturbations of the input, ... -
BinBRO: Binary Battle Royale Optimizer algorithm
(Elsevier Ltd, 2022-02-04)Stochastic methods attempt to solve problems that cannot be solved by deterministic methods with reasonable time complexity. Optimization algorithms benefit from stochastic methods; however, they do not guarantee to obtain ... -
On the online coalition structure generation problem
(AI Access Foundationusc Information Sciences Inst, 2021)We consider the online version of the coalition structure generation problem, in which agents, corresponding to the vertices of a graph, appear in an online fashion and have to be partitioned into coalitions by an authority ... -
On the maximum cardinality cut problem in proper interval graphs and related graph classes
(Elsevier B.V., 2022-01-04)Although it has been claimed in two different papers that the maximum cardinality cut problem is polynomial-time solvable for proper interval graphs, both of them turned out to be erroneous. In this work we consider the ... -
Unsupervised textile defect detection using convolutional neural networks
(Elsevier Ltd, 2021-12)In this study, we propose a novel motif-based approach for unsupervised textile anomaly detection that combines the benefits of traditional convolutional neural networks with those of an unsupervised learning paradigm. It ... -
A mobile app that uses neurofeedback and multi-sensory learning methods improves reading abilities in dyslexia: a pilot study
(Routledge, 2022-07-03)Reading comprehension is difficult to improve for children with dyslexia because of the continuing demands of orthographic decoding in combination with limited working memory capacity. Children with dyslexia get special ... -
Adaptive convolution kernel for artificial neural networks
(Academic Press Inc., 2021-02)Many deep neural networks are built by using stacked convolutional layers of fixed and single size (often 3 × 3) kernels. This paper describes a method for learning the size of convolutional kernels to provide varying size ... -
Improved microphone array design with statistical speaker verification
(Elsevier Ltd, 2021-04)Conventional microphone array implementations aim to lock onto a source with given location and if required, tracking it. It is a challenge to identify the intended source when the location of the source is unknown and ... -
Türkçe WordNet oluşturulması ve makine çevirisinde kullanılması
(Tübitak, 2019-12)Princeton kelime ağının üretilmesinden beri, diğer dillerde birçok kelime ağı üretilmiştir. Türkçe için en kapsamlı kelime ağı olan KeNet şu anda 80,000 synset içermektedir. Bu synsetler birbirleriyle anlamsal ve diller ... -
Uyarlanır yerel bağlı nöron modelinin incelemesi
(2019-04-10)Bu çalışmada uyarlanır yerel bağlı (odaklanan) nöron modelinin bir incelemesi sunulmuştur. Öncelikle bu modelin varolan diğer nöron modelleri ile ilişkisi incelenmiştir. Daha sonra modelin ileri beslemede çalışması ve ... -
Crossing minimization in weighted bipartite graphs
(Elsevier B.V., 2009-12)Given a bipartite graph G = (L0, L1, E) and a fixed ordering of the nodes in L0, the problem of finding an ordering of the nodes in L1 that minimizes the number of crossings has received much attention in literature. The ...