Browsing by Author "Alhajj, Reda"
Now showing items 1-20 of 21
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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 ... -
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 ... -
Crowd behavior modeling in emergency evacuation scenarios using belief-desire-intention model
Şahin, Coşkun; Alhajj, Reda (Springer International Publishing AG, 2020)... -
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 ... -
Early warning system: from face recognition by surveillance cameras to social media analysis to detecting suspicious people
Afra, Salim; Alhajj, Reda (Elsevier B.V., 2020)Surveillance security cameras are increasingly deployed in almost every location for monitoring purposes, including watching people and their actions for security purposes. For criminology, images collected from these ... -
Effective induction of gene regulatory networks using a novel recommendation method
Özsoy, Makbule Gülçin; Polat, Faruk; Alhajj, Reda (Inderscience Enterprises Ltd., 2019)In this paper, we introduce a method based on recommendation systems to predict the structure of Gene Regulatory Networks (GRNs) making use of data from multiple sources. Our method is based on collaborative filtering ... -
Emotion and sentiment analysis from Twitter text
Sailunaz, Kashfia; Alhajj, Reda (Elsevier, 2019)Online social networks have emerged as new platform that provide an arena for people to share their views and perspectives on different issues and subjects with their friends, family, relatives, etc. We can share our ... -
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 ... -
Glaucoma detection using image processing techniques: A literature review
Sarhan, Abdullah; Rokne, Jon; Alhajj, Reda (Elsevier, 2019)The term glaucoma refers to a group of heterogeneous diseases that cause the degeneration of retinal ganglion cells (RGCs). The degeneration of RGCs leads to two main issues: (i) structural changes to the optic nerve head ... -
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 ... -
Human behavior modeling for simulating evacuation of buildings during emergencies
Şahin, Coşkun; Rokne, Jon; Alhajj, Reda (Elsevier, 2019)Every year, a considerably large number of disasters occur as a result of natural events or human faults. In order to decrease the damage and casualties associated with each disaster, it is crucial to get prepared for these ... -
Integrated framework for criminal network extraction from Web
Salim, Afra; Alhajj, Reda (SAGE Publications, 2019)Extracting criminals' information and discovering their network are techniques that investigators often rely on to get extra information about criminal incidents and potential criminals. With the recent advances of the ... -
A model based on random walk with restart to predict circRNA-disease associations on heterogeneous network
Vural, Hüseyin; Kaya, Mehmet Cemal; Alhajj, Reda (Association for Computing Machinery, 2019)Recent studies show that circRNAs have critical roles in many biological processes. Knowing the associations between circRNAs and diseases may contribute to the understanding of the mechanism of circRNAs and to the diagnostic ... -
Recent trends in emotion analysis: A big data analysis perspective
Özyer, Tansel; Ak, Duygu Selin; Alhajj, Reda (IEEE-Institute of Electrical and Electronics Engineers, 2020)Human action recognition has recently started to find its way into applications in different applications. Accordingly, human action recognition methods are becoming increasingly important in our daily life. They are used ... -
A review of computational drug repositioning: Strategies, approaches, opportunities, challenges, and directions
Jarada, Tamer N.; Rokne, Jon George; Alhajj, Reda (BMC, 2020)Drug repositioning is the process of identifying novel therapeutic potentials for existing drugs and discovering therapies for untreated diseases. Drug repositioning, therefore, plays an important role in optimizing the ... -
SNF-CVAE: Computational method to predict drug-disease interactions using similarity network fusion and collective variational autoencoder
Jarada, Tamer N.; Rokne, Jon G.; Alhajj, Reda (Elsevier, 2021)Drug repositioning is an emerging approach to identify novel therapeutic potentials for approved drugs and discover therapies for previously untreatable diseases. Drug repositioning has also attracted considerable attention ... -
Transfer learning through weighted loss function and group normalization for vessel segmentation from retinal images
Sarhan, Abdullah; Rokne, Jon G.; Alhajj, Reda; Crichton, Andrew C.S. (Institute of Electrical and Electronics Engineers Inc., 2021)The vascular structure of blood vessels is important in diagnosing retinal conditions such as glaucoma and diabetic retinopathy. Accurate segmentation of these vessels can help in detecting retinal objects such as the optic ... -
User's research interests based paper recommendation system: A deep learning approach
Bulut, Betül; Gündoğan, Esra; Kaya, Buket; Alhajj, Reda; Kaya, Mehmet (Springer International Publishing AG, 2020)...
