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Recent Submissions

Polyp Detection in Colonoscopy Images using Deep Learning and Bootstrap Aggregation Polat, Görkem; Işık Polat, Ece; Kayabay, Kerem; Temizel, Alptekin (2021-4-13)
Generative Data Augmentation for Vehicle Detection in Aerial Images Kumdakçı, Hilmi; Öngün, Cihan; Temizel, Alptekin (null; 2021-01-15) Scarcity of training data is one of the prominent problemsfor deep networks which require large amounts data. Data augmentationis a widely used method to increase the number of training samples andtheir variations. In this...
Automatic detection of cyber security events from turkish twitter stream and newspaper data Ural, Özgür; Acartürk, Cengiz (2021-01-01) Copyright © 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reservedCybersecurity experts scan the internet and face security events that influence user and institutions. An information security a...
Data Science Roadmapping: Towards an Architectural Framework KAYABAY, KEREM; Gökalp, Mert Onuralp; Gökalp, Ebru; Eren, Pekin Erhan; Koçyiğit, Altan (2020-11-24) © 2020 IEEE.The availability of big data and related technologies enables businesses to exploit data for competitive advantage. Still, many industries face obstacles while leveraging data science to overcome business probl...
THE RIGHT PERSON TO THE RIGHT JOB: DEVELOPING A TWO-SIDED MATCHING METHODOLOGY BASED ON REAL EMPLOYEE DATA Mutlu Arsal, Fatma; Özkan Yıldırım, Sevgi (null; 2020-10-10) Talented employee is one of the most important factors that carries companies to success in today's business world. However, making employees work in the right position so that it is compatible with their ability, natur...
Bit-level Parallelization of 3DES Encryption on GPU Altınok, Kaan Furkan; Peker, Afşin; Temizel, Alptekin (null; 2020-10-09)
Optimization of XNOR Convolution for Binary Convolutional Neural Networks on GPU Kaya, Mete Can; İnci, Alperen; Temizel, Alptekin (2020-10-09) Binary convolutional networks have lower computational load and lower memory foot-print compared to their full-precision counterparts. So, they are a feasible alternative for the deployment of computer vision applications ...
Save the Planets: A Multipurpose Serious Game to Raise Environmental Awareness and to Initiate Change Özgen, Dilay Seda; Afacan, Yasemin; Sürer, Elif (2020-09-11) Serious games address not only entertainment purposes but also the transformations on the behaviors of their players. Serious games have recently been used in several domains, such as education, training, rehabilitation, a...
In vitro validation of drug-target interactions revealed in silico by Comprehensive Resource of Biomedical Relations with Network Representations and Deep Learning (CROssBAR) in HCC Nalbat, Esra; RİFAİOĞLU, AHMET SÜREYYA; DOĞAN, TUNCA; Martin, Maria Jesus; Cetin-Atalay, Rengul; Atalay, Mehmet Volkan (2020-08-01)
Attack Type Agnostic Perceptual Enhancement Of Adversarial Images Aksoy, Bilgin; Temizel, Alptekin (null; 2020-07-19) Adversarial images are samples that are intentionally modified to deceive machine learning systems. They are widely used in applications such as CAPTHAs to help distinguish legitimate human users from bots. However, the no...
Decision Support for Project Management by using Diagnostic Inference and Explaining-Away in Bayesian Networks Yet, Barbaros; Pişirir, Erhan (null; 2020-05-29) Risk and uncertainty are natural elements of projects. A project manager has to manage these elements effectively to improve the chance of project success. Yet, well-known biases and heuristics about decision-making under ...
A Multi-perspective Analysis of Social Context and Personal Factors in Office Settings for the Design of an Effective Mobile Notification System ÇAVDAR, ŞEYMA; Taşkaya Temizel, Tuğba; Musolesi, Mirco; Tino, Peter (2020-03-01) In this study, we investigate the effects of social context, personal and mobile phone usage on the inference of work engagement/challenge levels of knowledge workers and their responsiveness to well-being related notifica...
Weighted k-Nearest Neighbor Adaptations to Spare Part Prediction Business Scenario at SAP System Esgin, Eren (SCITEPRESS; 2020-2-24) In the context of intelligent maintenance, spare part prediction business scenario seeks promising return-on-investment (ROI) by radically diminishing the hidden costs at after-sales customer services. However, the classif...
Open-Source Big Data Analytics Architecture for Businesses Gökalp, Mert Onuralp; Kayabay, Kerem; Koçyiğit, Altan; Eren, Pekin Erhan (null; 2020-01-23) Unaware of existing big data technologies, organizations fail to develop a big data capability despite its disruptive impact on today's competitive business environment. To determine the shortcomings and strengths of devel...
The role of gaze as a deictic cue in human robot interaction Yılmaz, Efecan; Fal, Mehmetcan; Acartürk, Cengiz (2020-01-01) © Springer Nature Switzerland AG 2020.Gaze has a major role in social interaction. As a deictic reference, gaze aims at attracting visual attention of a communication partner to a referred entity in the environment. Gaze d...
Endoscopic artefact detection with ensemble of deep neural networks and false positive elimination Polat, Gorkem; Sen, Deniz; Inci, Alperen; Temizel, Alptekin (2020-01-01) Video frames obtained through endoscopic examination can be corrupted by many artefacts. These artefacts adversely affect the diagnosis process and make the examination of the underlying tissue difficult for the profession...
Evaluation of the perceived naturalness of artificial reverberation algorithms Djordjevic, Stojan; Hacıhabiboğlu, Hüseyin; Cvetkovic, Zoran; De Sena, Enzo (null; 2020-01-01) © 2020 148th Audio Engineering Society International Convention. All rights reserved.Listening tests were carried out using a modified MUSHRA method to compare the perceived naturalness of reverberation generated using sca...
On the Fly Encryption via GPU Tezcan, Cihangir (2019-11-21)
Open Government Data: Analysing Benefits and Challenges Caldag, Murat Tahir; Gökalp, Mert Onuralp; Gokalp, Ebru (2019-11-01) © 2019 IEEE.Open Government Data enables stakeholders to monitor and participate in governance processes by accessing governance information and decision-making areas while providing transparency, accountability, cooperati...
Acceptance of Blockchain Based Supply Chain Management System: Research Model Proposal Blokzincir Tabanli Tedarik Zinciri Yönetimi Sistemi Kabulü: Arastirma Modeli Önerisi Gokalp, Ebru; Coban, Selin; Gökalp, Mert Onuralp (2019-11-01) © 2019 IEEE.Blockchain technology provides emerging solutions including decentralized management, security, privacy and robustness. In Supply Chain Management (SCM) applications, blockchain technology enable us to increase...

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