Results 41 to 50 of about 1,547,567 (330)

Ensemble positive unlabeled learning for disease gene identification. [PDF]

PLoS ONE, 2014
An increasing number of genes have been experimentally confirmed in recent years as causative genes to various human diseases. The newly available knowledge can be exploited by machine learning methods to discover additional unknown genes that are likely
Peng Yang, Xiaoli Li, Hon-Nian Chua, Chee-Keong Kwoh, See-Kiong Ng   +4 more
doaj   +1 more source

A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI

Computational and Mathematical Methods in Medicine, 2022
Conventional medical imaging and machine learning techniques are not perfect enough to correctly segment the brain tumor in MRI as the proper identification and segmentation of tumor borders are one of the most important criteria of tumor extraction. The
Ejaz Ul Haq, Jianjun Huang, Huarong Xu, Kang Li, Lifen Weng   +4 more
semanticscholar   +1 more source

Review of some existing QML frameworks and novel hybrid classical–quantum neural networks realising binary classification for the noisy datasets

Scientific Reports, 2022
One of the most promising areas of research to obtain practical advantage is Quantum Machine Learning which was born as a result of cross-fertilisation of ideas between Quantum Computing and Classical Machine Learning.
N. Schetakis, D. Aghamalyan, P. Griffin, M. Boguslavsky   +3 more
doaj   +1 more source

Automated Detection of Retinopathy of Prematurity Using Quantum Machine Learning and Deep Learning Techniques

IEEE Access, 2023
Retinopathy of prematurity (ROP) is a vasoproliferative retinal disease that affects premature infants and causes permanent blindness if left untreated.
V. M. Raja Sankari, U. Umapathy, Sultan Alasmari, Shabnam Mohamed Aslam   +3 more
doaj   +1 more source

Simple Learning Classifier Machine

Engineering and Technology Journal, 2010
A learning classifier system is one of the methods for applying a genetic-basedapproach to machine learning applications. An enhanced version of the system thatemploys the Bucket-brigade algorithm to reward individuals in a chain of co-operatingrules is implemented and assigned the task of learning rules for classifying simpleobjects.
Lubna Bashir, Hind .A.Alrazzaq
openaire   +2 more sources

Interactive machine learning: letting users build classifiers [PDF]

International Journal of Human-Computer Studies, 2001
Summary: According to standard procedure, building a classifier using machine learning is a fully automated process that follows the preparation of training data by a domain expert. In contrast, interactive machine learning engages users in actually generating the classifier themselves. This offers a natural way of integrating background knowledge into
Ware, Malcolm, Frank, Eibe, Holmes, Geoffrey, Hall, Mark A., Witten, Ian H.   +4 more
openaire   +3 more sources

Analysis of CNN features with multiple machine learning classifiers in diagnosis of monkepox from digital skin images

medRxiv, 2022
Concerns about public health have been heightened by the rapid spread of monkeypox to more than 90 countries. To contain the spread, AI assisted diagnosis system can play an important role.
V. Kumar
semanticscholar   +1 more source

Defining the best-fit machine learning classifier to early diagnose photovoltaic solar cells hot-spots

Case Studies in Thermal Engineering, 2021
Photovoltaic (PV) hot-spots is a reliability problem in PV modules, where a cell or group of cells heats up significantly, dissipating rather than producing power, and resulting in a loss and further degradation for the PV modules’ performance. Therefore,
Mahmoud Dhimish
doaj   +1 more source

A comparative study of machine learning classifiers for modeling travel mode choice

Expert Systems With Applications, 2017
Julian Hagenauer, M. Helbich
semanticscholar   +3 more sources

Physical Activity Monitoring and Classification Using Machine Learning Techniques

Life, 2022
Physical activity plays an important role in controlling obesity and maintaining healthy living. It becomes increasingly important during a pandemic due to restrictions on outdoor activities.
Saeed Ali Alsareii, Muhammad Awais, Abdulrahman Manaa Alamri, Mansour Yousef AlAsmari, Muhammad Irfan, Nauman Aslam, Mohsin Raza   +6 more
doaj   +1 more source