Ahmet Coşar

E-mail

cosar@metu.edu.tr

Department

Department of Computer Engineering

ORCID

0000-0002-3090-2254

Web of Science Researcher ID

C-7700-2012

Abstract or Full-text in Topic Modeling? Konu Modellemede Özet mi Tam Metin mi? Tekin, Yasar; Coşar, Ahmet (2022-01-01) Topic modeling is a text mining technique used for automatic extraction of topics addressed in document collections. Although there are different topic models proposed by researchers, the most preferred one is Latent Diric...
A new framework of multi-objective evolutionary algorithms for feature selection and multi-label classification of video data Karagoz, Gizem Nur; Yazıcı, Adnan; Dokeroglu, Tansel; Coşar, Ahmet (2020-06-01) There are few studies in the literature to address the multi-objective multi-label feature selection for the classification of video data using evolutionary algorithms. Selecting the most appropriate subset of features is ...
Application of binary PSO for public cloud resources allocation system of video on demand (VoD) services Aygun, Betul; Günel Kılıç, Banu; ARICI, NURSAL; Coşar, Ahmet; Tuncsiper, Bedriye (Elsevier BV, 2020-01-01) Video streaming, whether on demand or live, has become one of the most popular internet applications. However, financial investments required for it is a severe problem since it needs more real time storage, higher data tr...
Context-sensitive and keyword density-based supervised machine learning techniques for malicious webpage detection Altay, Betul; Dokeroglu, Tansel; Coşar, Ahmet (2019-06-01) Conventional malicious webpage detection methods use blacklists in order to decide whether a webpage is malicious or not. The blacklists are generally maintained by third-party organizations. However, keeping a list of all...
An expandable approach for design and personalization of digital, just-in-time adaptive interventions Gonul, Suat; Namli, Tuncay; Huisman, Sasja; Erturkmen, Gokce Banu Laleci; Toroslu, İsmail Hakkı; Coşar, Ahmet (2019-03-01) Objective: We aim to deliver a framework with 2 main objectives: 1) facilitating the design of theory-driven, adaptive, digital interventions addressing chronic illnesses or health problems and 2) producing personalized in...
Novel multiobjective TLBO algorithms for the feature subset selection problem Kiziloz, Hakan Ezgi; Deniz, Ayca; Dokeroglu, Tansel; Coşar, Ahmet (2018-09-06) Teaching Learning Based Optimization (TLBO) is a new metaheuristic that has been successfully applied to several intractable optimization problems in recent years. In this study, we propose a set of novel multiobjective TL...
Optimization of Just-in-Time Adaptive Interventions Using Reinforcement Learning Gonul, Suat; Namli, Tuncay; Baskaya, Mert; Sinaci, Ali Anil; Coşar, Ahmet; Toroslu, İsmail Hakkı (2018-01-01) Momentary context data is an important source for intelligent decision making towards personalization of mobile phone notifications. We propose a reinforcement learning based personalized notification delivery algorithm, r...
Optimal Resource Allocation of Dynamic Video Streaming Applications in a Public Cloud Environment Aygun, Betul; ARICI, NURSAL; Coşar, Ahmet (2017-10-08) With the technology improvements, managing a large amount of multimedia objects such as audio, video, picture or a combination of these has become possible. Multimedia data needs more real time storage and high data transf...
Robust multiobjective evolutionary feature subset selection algorithm for binary classification using machine learning techniques Deniz, Ayca; Kiziloz, Hakan Ezgi; Dokeroglu, Tansel; Coşar, Ahmet (2017-06-07) This study investigates the success of a multiobjective genetic algorithm (GA) combined with state-of-the-art machine learning (ML) techniques for the feature subset selection (FSS) in binary classification problem (BCP). ...
Effects of selective forwarding attacks on wireless sensor network efficiency SERT, SEYİT ALPER; Yazıcı, Adnan; Coşar, Ahmet (2017-05-15) Wireless Sensor Networks (WSNs) facilitate efficient data gathering requirements occurring in indoor and outdoor environments. A great deal of WSNs operates by monitoring the area-of-interest (AOI) and transmitting the obt...

Citation Formats