Başlık için MF - Makale Koleksiyonu | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering listeleme
Toplam kayıt 68, listelenen: 40-59
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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 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 ... -
Mobile applications discovery: a subscriber-centric approach
(Wiley Periodicals, 2011-03)Rapid adoption of smartphones and the business success of the Apple App Store have resulted in the rampant growth of mobile applications. Seeking new revenue opportunities from application development has created a gold ... -
Model selection in omnivariate decision trees using Structural Risk Minimization
(Elsevier Science Inc, 2011-12-01)As opposed to trees that use a single type of decision node, an omnivariate decision tree contains nodes of different types. We propose to use Structural Risk Minimization (SRM) to choose between node types in omnivariate ... -
Modeling and simulation support to the defense planning process
(Sage Publications Inc, 2017-04-01)Defense planning is a crucial part of the defense process. It identifies the capabilities required for the future defense environment, analyzes the capability shortfalls, prioritizes them, and provides the fundamental ... -
Nearest neighbor weighted average customization for modeling faces
(Springer, 2013-10)In this paper, we present an anatomically accurate generic wireframe face model and an efficient customization method for modeling human faces. We use a single 2D image for customization of the generic model. We employ ... -
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 ... -
A novel kernel to predict software defectiveness
(Elsevier Science Inc, 2016-09)Although the software defect prediction problem has been researched for a long time, the results achieved are not so bright. In this paper, we propose to use novel kernels for defect prediction that are based on the ... -
An observation based muscle model for simulation of facial expressions
(Elsevier Science BV, 2018-05)This study presents a novel facial muscle model for coding of facial expressions. We derive this model from unintrusive observation of human subjects in the progress of the surprise expression. We use a generic and ... -
Omnivariate rule induction using a novel pairwise statistical test
(IEEE Computer Soc, 2013-09)Rule learning algorithms, for example, RIPPER, induces univariate rules, that is, a propositional condition in a rule uses only one feature. In this paper, we propose an omnivariate induction of rules where under each ... -
On the feature extraction in discrete space
(Elsevier Sci Ltd, 2014-05)In many pattern recognition applications, feature space expansion is a key step for improving the performance of the classifier. In this paper, we (i) expand the discrete feature space by generating all orderings of values ... -
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 ... -
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 ... -
Parallel univariate decision trees
(Elsevier B.V., 2007-05-01)Univariate decision tree algorithms are widely used in data mining because (i) they are easy to learn (ii) when trained they can be expressed in rule based manner. In several applications mainly including data mining, the ... -
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 ... -
Quadratic programming for class ordering in rule induction
(Elsevier Science BV, 2015-03-01)Separate-and-conquer type rule induction algorithms such as Ripper, solve a K>2 class problem by converting it into a sequence of K - 1 two-class problems. As a usual heuristic, the classes are fed into the algorithm in ... -
Robust localization and identification of African clawed frogs in digital images
(Elsevier Science BV, 2014-09)We study the automatic localization and identification of African clawed frogs (Xenopus laevis sp.) in digital images taken in a laboratory environment. We propose a novel and stable frog body localization and skin pattern ... -
The routine design-modular distributed modeling platform for distributed routine design and simulation-based testing of distributed assemblies
(Cambridge University Press, 2008-12-12)In this paper we describe a conceptual framework and implementation of a tool that supports task-directed, distributed routine design (RD) augmented with simulation-based design testing. In our research, we leverage the ... -
Software defect prediction using Bayesian networks
(Springer, 2014-02)There are lots of different software metrics discovered and used for defect prediction in the literature. Instead of dealing with so many metrics, it would be practical and easy if we could determine the set of metrics ... -
Student conference as a student centred environment for integrating technical writings into computer engineering curriculum
(Anı Yayıncılık, 2011-12)Problem Statement: In today's world there are pressures on universities to ensure that graduates have the capacity to meet the needs of employers. One aspect of this is to ensure that students, along with professional ...
