Ara
Toplam kayıt 30, listelenen: 11-20
SNF-CVAE: Computational method to predict drug-disease interactions using similarity network fusion and collective variational autoencoder
(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 ...
Human behavior modeling for simulating evacuation of buildings during emergencies
(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 ...
CutESC: Cutting edge spatial clustering technique based on proximity graphs
(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 ...
Early warning system: from face recognition by surveillance cameras to social media analysis to detecting suspicious people
(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 ...
CACTUS: cancer image annotating, calibrating, testing, understanding and sharing in breast cancer histopathology
(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 ...
BreCaHAD: A dataset for breast cancer histopathological annotation and diagnosis
(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 ...
Tweet and user validation with supervised feature ranking and rumor classification
(Springer, 2022)
Filtering fake news from social network posts and detecting social network users who are responsible for generating and propagating these rumors have become two major issues with the increased popularity of social networking ...
Explainable artificial intelligence through graph theory by generalized social network analysis-based classifier
(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 ...
The role of machine learning in identifying students at-risk and minimizing failure
(IEEE-Institute of Electrical and Electronics Engineers Inc., 2023)
Education is very important for students' future success. The performance of students can be supported by the extra assignments and projects given by the instructors for students with low performance. However, a major ...
An efficient approach to predict eye diseases from symptoms using machine learning and ranker-based feature selection methods
(MDPI, 2023)
The eye is generally considered to be the most important sensory organ of humans. Diseases and other degenerative conditions of the eye are therefore of great concern as they affect the function of this vital organ. With ...