Güncel Gönderiler: Fakülteler
Toplam kayıt 6779, listelenen: 5201-5220
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Object-Based FlowChart Drawing Library
(IEEE, 2017)While flow charts are one of the best ways to describe a computer program, drawing process is a laborious task for developers. This study describes an open source Javascript library named obfc.js, which we have developed ... -
Investigation of Association Estimators in Network Inference Algorithms on Breast Cancer Proteomic Data
(IEEE, 2017)In this study, association estimators applied in the network inference methods used to determine disease-related molecular interactions using breast cancer, which is the most common type of cancer in women, proteomic data ... -
Meniscus segmentation and tear detection in the knee MR images by fuzzy c-means method
(Institute of Electrical and Electronics Engineers Inc., 2017)Computer-assisted diagnosis (CAD) studies on medical images have gained momentum recently. The studies in this area facilitates the work of medical specialists and reduces the time cost. In this study, meniscus segmentation ... -
Meniscus Segmentation and Tear Detection in the Knee MR Images by Fuzzy c-Means Method
(IEEE, 2017)Computer-assisted diagnosis (CAD) studies on medical images have gained momentum recently. The studies in this area facilitates the work of medical specialists and reduces the time cost. In this study, meniscus segmentation ... -
The Analysis of Firewall Policy Through Machine Learning and Data Mining
(Springer, 2017)Firewalls are primary components for ensuring the network and information security. For this purpose, they are deployed in all commercial, governmental and military networks as well as other large-scale networks. The ... -
Emotion, age, and gender classification in children's speech by humans and machines
(Academic Press Ltd- Elsevier Science Ltd, 2017)In this article, we present the first child emotional speech corpus in Russian, called EmoChildRu, collected from 3 to 7 years old children. The base corpus includes over 20 K recordings (approx. 30 h), collected from 120 ... -
A novel algorithm for extracting the user reviews from web pages
(Sage Publications Ltd, 2017)Extracting the user reviews in websites such as forums, blogs, newspapers, commerce, trips, etc. is crucial for text processing applications (e.g. sentiment analysis, trend detection/monitoring and recommendation systems) ... -
A new word-based compression model allowing compressed pattern matching
(Tubitak Scientific & Technical Research Council Turkey, 2017)In this study a new semistatic data compression model that has a fast coding process and that allows compressed pattern matching is introduced. The name of the proposed model is chosen as tagged word-based compression ... -
Estimation of the proteomic cancer co-expression sub networks by using association estimators
(Public Library Science, 2017)In this study, the association estimators, which have significant influences on the gene network inference methods and used for determining the molecular interactions, were examined within the co-expression network inference ... -
Artificial intelligence-based scholarship and credit pre-assessment system
(Institute of Electrical and Electronics Engineers Inc., 2017)Scholarships are given to students who are studied in university by public institutions and organizations such as Yüksek Ögrenim Kredi ve Yurtlar Kurumu by taking different criterions into account. The students who deserve ... -
BOUN-NKU in mediaeval 2017 emotional impact of movies task
(CEUR-WS, 2017)In this paper, we present our approach for the Emotional Impact of Movies task of Mediaeval 2017 Challenge, involving multimodal fusion for predicting arousal and valence for movie clips. In our system, we have two pipelines. ... -
Fusing Acoustic Feature Representations for Computational Paralinguistics Tasks
(Isca-Int Speech Communication Assoc, 2016)The field of Computational Paralinguistics is rapidly growing and is of interest in various application domains ranging from biomedical engineering to forensics. The INTERSPEECH ComParE challenge series has a field-leading ... -
Kernel ELM and CNN based Facial Age Estimation
(IEEE, 2016)e propose a two-level system for apparent age estimation from facial images. Our system first classifies samples into overlapping age groups. Within each group, the apparent age is estimated with local regressors, whose ... -
Multimodal Fusion of Audio, Scene, and Face Features for First Impression Estimation
(IEEE Computer Soc, 2016)Affective computing, particularly emotion and personality trait recognition, is of increasing interest in many research disciplines. The interplay of emotion and personality shows itself in the first impression left on ... -
A new computer-based approach for fully automated segmentation of knee meniscus from magnetic resonance images
(Elsevier, 2017)Menisci are tissues that enable mobility and absorb excess loads on the knee. Problems in meniscus can trigger the disorder of osteoarthritis (OA). OA is one of the most common causes of disability, especially among young ... -
Predicting the Direction of Movement for Stock Price Index Using Machine Learning Methods
(Springer-Verlag Berlin, 2016)Stock price prediction with high accuracy may offer significant opportunities for the investors who make decisions on making profit or having high gains over the stocks in stock markets. The aim of this study is to predict ... -
Robust Acoustic Emotion Recognition Based on Cascaded Normalization and Extreme Learning Machines
(Springer International Publishing Ag, 2016)One of the challenges in speech emotion recognition is robust and speaker-independent emotion recognition. In this paper, we take a cascaded normalization approach, combining linear speaker level, non-linear value level ... -
Prediction of Football Match Results in Turkish Super League Games
(Springer-Verlag Berlin, 2016)This paper presents a model that predicts the results (Home Win/Draw/Away Win) of the football matches played in the Turkish Super League, by using three machine learning classification methods, which are Support Vector ... -
Prediction of full load electrical power output of a base load operated combined cycle power plant using machine learning methods
(Elsevier Sci Ltd, 2014)Predicting full load electrical power output of a base load power plant is important in order to maximize the profit from the available megawatt hours. This paper examines and compares some machine learning regression ... -
Classification-based prediction models for stock price index movement
(Ios Press, 2016)Stock price prediction with high accuracy may offer significant opportunities for the investors who make decisions on making profit or having high gains over the stocks in stock markets. In this study, four predictive ...
