Graduate School of Informatics

Browse
Search within this community and its collections:
Collections in this community

Filters

Entity Type
Publication (1173)
Thesis (735)
Project (86)
Person (67)
Open Course (21)
Patent (2)

Has File(s)
No (1163)
Yes (921)

Author
Temizel, Alptekin (78)
Eren, Pekin Erhan (77)
Atalay, Rengül (71)
Baykal, Nazife (66)
Demirörs, Onur (65)

Subject
Computer software (33)
Computer software. (33)
Mobile communication systems. (27)
Information systems (26)
Computer games. (22)

Date Issued
1990 - 1999 (27)
2000 - 2009 (482)
2010 - 2019 (1398)
2020 - 2021 (173)

Recent Submissions

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
Ali, Sharib; et. al. (2021-05-01)
© 2021 The AuthorsThe Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative to address eminent problems in developing reliable computer aided detection and diagnosis endoscopy systems and suggest a pa...
Polyp Detection in Colonoscopy Images using Deep Learning and Bootstrap Aggregation
Polat, Görkem; Işık Polat, Ece; Kayabay, Kerem; Temizel, Alptekin (2021-04-13)
Optimization and deep learning based multi model abundance estimation and unmixing algorithms for hyperspectral images
Özdemir, Okan Bilge; Yardımcı Çetin, Yasemin; Koz, Alper; Department of Information Systems (2021-4-8)
Hyperspectral unmixing aims to identify the materials within the pixels of an image and estimate the corresponding abundance values of these materials. This thesis proposes an optimizationbased abundance estima...
Analysis of data flow in iot devices and evaluating security of mud implementation on smart home network
Darazam, Milad Kazami; Acartürk, Cengiz; Angın, Pelin; Department of Cybersecurity (2021-4-8)
oT usage has shown significant growth in the past decades. A major target for theIoT market is the living spaces which have become smarter by the integration of IoTdevices. However, the network infrastructure have not be...
Prediction of words in Turkish sentences by LSTM-based language modeling
Algan, Abdullah Can; Acartürk, Cengiz; Çöltekin, Çağrı; Department of Cognitive Sciences (2021-3-29)
Language comprehension is affected by predictions because it is an incremental process. Predictability has been an important aspect of studying language processing and acquisition in cognitive science. In parallel, Natural...
ClickbaitTR: Dataset for Clickbait Detection from Turkish News Sites and Social Media with a Comparative Analysis via Machine Learning Algorithms
Genç, Şura; Sürer, Elif (2021-03-01)
LPMNet: Latent Part Modification and Generation for 3D Point Clouds
Öngün, Cihan; Temizel, Alptekin (2021-03-01)
In this paper, we focus on latent modification and generation of 3D point cloud object models with respect to their semantic parts. Different to the existing methods which use separate networks for part generation and asse...
Behavior and usability analysis for multimodal user interfaces
Dibeklioğlu, Hamdi; Sürer, Elif; Salah, Albert Ali; Dutoit, Thierry (2021-03-01)
The overexpression of DNA repair genes in invasive ductal and lobular breast carcinomas: Insights on individual variations and precision medicine
Mohamed, Ruwaa; Bargal, Salma A.; Mekawy, Asmaa S.; El-Shiekh, Iman; Tunçbağ, Nurcan; Ahmed, Alaa S.; Badr, Eman; Elserafy, Menattallah (2021-03-01)
In the era of precision medicine, analyzing the transcriptomic profile of patients is essential to tailor the appropriate therapy. In this study, we explored transcriptional differences between two invasive breast cancer s...
Neural correlates of metacontrast masking across different contrast polarities
Aydın, Alaz; Ogmen, Haluk; Kafaligonul, Hulusi (2021-03-01)
Metacontrast masking is a powerful illusion to investigate the dynamics of perceptual processing and to control conscious visual perception. However, the neural mechanisms underlying this fundamental investigative tool are...
Multi-year vector dynamic time warping-based crop mapping
Teke, Mustafa; Çetin, Yasemin (2021-03-01)
Recent automated crop mapping via supervised learning-based methods have demonstrated unprecedented improvement over classical techniques. Classification accuracies of these methods degrade considerably in cross-year mappi...
Diffusion Tensor Imaging Group Analysis Using Tract Profiling and Directional Statistics
Metin, Mehmet Ozer; Gökçay, Didem (2021-03-01)
Group analysis in diffusion tensor imaging is challenging. Comparisons of tensor morphology across groups have typically been performed on scalar measures of diffusivity, such as fractional anisotropy (FA), disregarding th...
Spherical harmonics based acoustic scene analysis for object-based audio
Çöteli, Mert Burkay; Hacıhabiboğlu, Hüseyin; Department of Information Systems (2021-2-19)
Object-based audio relies on elemental audio signals from individual sound sources and their associated metadata to be reconstructed at the listener side. While defining audio objects in a production setting is straightfor...
Parallelization of noise subspace-based doa estimation algorithms on cpu and gpu
Eray, Hamza; Temizel, Alptekin; Department of Modeling and Simulation (2021-2-11)
Direction-of-Arrival (DOA) estimation is known as an active research area, and it is studied under array signal processing. The algorithms in this area are widely used in various applications such as sonar, search-and-resc...
Vehicle detection on small scale data by generative data augmentation
Kumdakcı, Hilmi; Temizel, Alptekin; Department of Modeling and Simulation (2021-2-03)
Scarcity of training data is one of the prominent problems for deep neural networks,which commonly require high amounts of data to display their potential. Data aug-mentation techniques are frequently applied during the p...
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...
A techno-sustainable bio-waste management strategy for closing chickpea yield gap
Ozdemir, Saim; Özdemir, Serkan; Ozer, Hasan; YETİLMEZSOY, Kaan (Elsevier BV, 2021-01-01)
© 2020 Elsevier LtdSustainable development goals imply environmentally sound management of all wastes to minimize the waste generation through prevention, reduction, recycling, and reuse. In particular, the poultry industr...
Holistic Web Application Security Visualization for Multi-Project and Multi-Phase Dynamic Application Security Test Results
Sonmez, Ferda Ozdemir; Günel Kılıç, Banu (2021-01-01)
As the number of web applications and the corresponding number and sophistication of the threats increases, creating new tools that are efficient and accessible becomes essential. Although there is much research concentrat...
Inferable and Partitive Indefinites in Topic Position
Von Heusinger, Klaus; Özge, Umut (Brill, 2021-01-01)
The topic position in a sentence is reserved for familiar and/or referential arguments (Kuno, 1972; Reinhart, 1981; Portner & Yabushita, 2001). Thus, the typical topic is a definite expression such as a pronoun, a proper n...
Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on Probing Attacks to an Institutional Network
Tufan, Emrah; Tezcan, Cihangir; Acartürk, Cengiz (2021-01-01)
Cyber attacks constitute a significant threat to organizations with implications ranging from economic, reputational, and legal consequences. As cybercriminals' techniques get sophisticated, information security profession...
Citation Formats