Yazar "Özyer, Tansel" için listeleme
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Analysis and prediction in sparse and high dimensional text data: The case of Dow Jones stock market
Sert, Onur Can; Şahin, Salih Doruk; Özyer, Tansel; Alhajj, Reda (Elsevier B.V., 2020)In this research, we proposed a text analysis system to predict stock market movements using news and social media data. It is a scalable prediction system for sparse and high dimensional feature sets. Using the developed ... -
Automation of active reconnaissance phase: An automated API-based port and vulnerability scanner
Malkawi, Malek; Özyer, Tansel; Alhajj, Reda (Association for Computing Machinery, Inc, 2021)The unprecedented growth in technology has increased the importance of the required information security that is still hard to be reached. Recently, network and web application attacks have occurred frequently, causing ... -
Brain tumor detection and segmentation: Interactive framework with a visual interface and feedback facility for dynamically improved accuracy and trust
Sailunaz, Kashfia; Beştepe, Deniz; Alhajj, Sleiman; Özyer, Tansel; Rokne, Jon; Alhajj, Reda (Public Library of Science, 2023)Brain cancers caused by malignant brain tumors are one of the most fatal cancer types with a low survival rate mostly due to the difficulties in early detection. Medical professionals therefore use various invasive and ... -
BreCaHAD: A dataset for breast cancer histopathological annotation and diagnosis
Aksaç, Alper; Demetrick, Douglas J.; Özyer, Tansel; Alhajj, Reda (BioMed Central Ltd., 2019)Objectives: Histopathological tissue analysis by a pathologist determines the diagnosis and prognosis of most tumors, such as breast cancer. To estimate the aggressiveness of cancer, a pathologist evaluates the microscopic ... -
CACTUS: cancer image annotating, calibrating, testing, understanding and sharing in breast cancer histopathology
Aksaç, Alper; Özyer, Tansel; Demetrick, Douglas J.; Alhajj, Reda (NLM (Medline), 2020)OBJECTIVE: Develop CACTUS (cancer image annotating, calibrating, testing, understanding and sharing) as a novel web application for image archiving, annotation, grading, distribution, networking and evaluation. This helps ... -
Classes versus communities: Outlier detection and removal in tabular datasets via social network analysis (ClaCO)
Üçer, Serkan; Özyer, Tansel; Alhajj, Reda (Institute of Electrical and Electronics Engineers Inc., 2023)In this research, we introduce a model to detect inconsistent & anomalous samples in tabular labeled datasets which are used in machine learning classification tasks, frequently. Our model, abbreviated as the ClaCO (Classes ... -
A comparative study of different pre-trained deeplearning models and custom CNN for pancreatic tumor detection
Zavalsız, Muhammed Talha; Alhajj, Sleiman; Sailunaz, Kashfia; Özyer, Tansel; Alhajj, Reda (Zarka Private University, 2023)Artificial Intelligence and its sub-branches like MachineLearning (ML) and Deep Learning (DL) applications have the potential to have positive effects that can directly affect human life. Medical imaging is briefly making ... -
Convex hull in brain tumor segmentation
Sailunaz, Kashfia; Beştepe, Deniz; Alhajj, Sleiman; Özyer, Tansel; Rokne, Jon; Alhajj, Reda (Springer Science and Business Media Deutschland GmbH, 2022)Tumors are the second leading cause of death. Among the tumors, brain tumors constitute one of the most complex tumor categories with a high mortality rate. Therefore, brain tumor detection and segmentation from non-invasive ... -
CutESC: Cutting edge spatial clustering technique based on proximity graphs
Aksaç, Alper; Özyer, Tansel; Alhajj, Reda (Elsevier, 2019)In this paper, we propose a cut-edge algorithm for spatial clustering (CutESC) based on proximity graphs. The CutESC algorithm removes edges when a cut-edge value for the edge's endpoints is below a threshold. The cut-edge ... -
Data on cut-edge for spatial clustering based on proximity graphs
Aksaç, Alper; Özyer, Tansel; Alhajj, Reda (Elsevier, 2020)Cluster analysis plays a significant role regarding automating such a knowledge discovery process in spatial data mining. A good clustering algorithm supports two essential conditions, namely high intra-cluster similarity ... -
Detecting spam tweets using machine learning and effective preprocessing
Kardaş, Berk; Bayar, İsmail Erdem; Özyer, Tansel; Alhajj, Reda (Association for Computing Machinery, Inc, 2021)Nowadays, with the rapid increase in popularity of online social networks (OSNs), these platforms are realized as ideal places for spammers. Unfortunately, these spammers can easily publish malicious content, advertise ... -
Driver drowsiness detection by employing CNN and DLIB
Nawazish, Ali; Imran, Hassan; Özyer, Tansel; Alhajj, Reda (IEEE (Institute of Electrical and Electronics Engineers), 2021)Every year thousands of people lose their life due to road accidents. One of the main reasons for these accidents is driver drowsiness. In driver drowsiness, the driver slept while driving, which causes the road accident, ... -
Explainable artificial intelligence through graph theory by generalized social network analysis-based classifier
Üçer, Serkan; Özyer, Tansel; Alhajj, Reda (Nature Portfolio, 2022)We propose a new type of supervised visual machine learning classifier, GSNAc, based on graph theory and social network analysis techniques. In a previous study, we employed social network analysis techniques and introduced ... -
Fuzzy classification methods based diagnosis of Parkinson’s disease from speech test cases
Dastjerd, Niousha Karimi; Sert, Onur Can; Özyer, Tansel; Alhajj, Reda (Bentham Science Publishers, 2019)Background: Together with the Alzheimer’s disease, Parkinson’s disease is considered as one of the two serious known neurodegenerative diseases. Physicians find it hard to predict whether a given patient has already developed ... -
Hot topic detection and evaluation of multi-relation effects
Zirbilek, Nadir Emre; Erakın, Mustafa; Özyer, Tansel; Alhajj, Reda (Association for Computing Machinery, Inc, 2021)With the growth of social media, Twitter has become one of the most popularly used microblogging communication platforms between people. Due to the wide preference of Twitter, popular issues in public, events like local ... -
Human action recognition approaches with video datasets-A survey
Özyer, Tansel; Ak, Duygu Selin; Alhajj, Reda (Elsevier B.V., 2021)Human Activity Recognition has recently attracted considerable attention. This has been triggered by the rapid development of advance technologies and learning methods. Human action recognition can be actively used in a ... -
Interactive framework for Covid-19 detection and segmentation with feedback facility for dynamically improved accuracy and trust
Sailunaz, Kashfia; Beştepe, Deniz; Özyer, Tansel; Rokne, Jon; Alhajj, Reda (Public Library of Science, 2022)Due to the severity and speed of spread of the ongoing Covid-19 pandemic, fast but accurate diagnosis of Covid-19 patients has become a crucial task. Achievements in this respect might enlighten future efforts for the ... -
Matching applicants with positions for better allocation of employees in the job market
Elgammal, Ziad; Barmu, Abdullah; Hassan, Hamza; Elgammal, Khaled; Özyer, Tansel; Alhajj, Reda (IEEE (Institute of Electrical and Electronics Engineers), 2021)Nowadays most people who are looking for a job use the Internet, visiting websites like Linkedin or Indeed so they must face hundreds of recruitment companies and job ads. The process of applying for a job is time consuming ... -
A multi-modal emotion recognition system based on CNN-transformer deep learning technique
Karatay, Büşra; Beştepe, Deniz; Sailunaz, Kashfia; Özyer, Tansel; Alhajj, Reda (Institute of Electrical and Electronics Engineers Inc., 2022)Emotion analysis is a subject that researchers from various fields have been working on for a long time. Different emotion detection methods have been developed for text, audio, photography, and video domains. Automated ... -
NetDriller-V3: A powerful social network analysis tool
Afra, Salim; Özyer, Tansel; Rokne, Jon; Alhajj, Reda (Institute of Electrical and Electronics Engineers Inc., 2023)The development in technology has led to the generation of huge amounts of data from various sources, including biological data, social networking data, etc. Accordingly, social network analysis has received considerable ...