Results 1 to 10 of about 279,401 (170)

Copying Machine Learning Classifiers [PDF]

IEEE Access, 2020
We study copying of machine learning classifiers, an agnostic technique to replicate the decision behavior of any classifier. We develop the theory behind the problem of copying, highlighting its properties, and propose a framework to copy the decision ...
Irene Unceta, Jordi Nin, Oriol Pujol
doaj   +5 more sources

Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study [PDF]

Journal of Medical Internet Research, 2020
BackgroundTwitter presents a valuable and relevant social media platform to study the prevalence of information and sentiment on vaping that may be useful for public health surveillance.
Visweswaran, Shyam, Colditz, Jason B, O’Halloran, Patrick, Han, Na-Rae, Taneja, Sanya B, Welling, Joel, Chu, Kar-Hai, Sidani, Jaime E, Primack, Brian A   +8 more
doaj   +3 more sources

Machine learning magnetism classifiers from atomic coordinates

iScience, 2022
Summary: The determination of magnetic structure poses a long-standing challenge in condensed matter physics and materials science. Experimental techniques such as neutron diffraction are resource-limited and require complex structure refinement ...
Helena A. Merker, Harry Heiberger, Linh Nguyen, Tongtong Liu, Zhantao Chen, Nina Andrejevic, Nathan C. Drucker, Ryotaro Okabe, Song Eun Kim, Yao Wang, Tess Smidt, Mingda Li   +11 more
doaj   +3 more sources

Optimised feature selection and cervical cancer prediction using Machine learning classification [PDF]

Scripta Medica, 2022
Background: Screening and early detection play a key role in cervical cancer prevention. The present study predicts the outcome of various diagnostic tests used to diagnose cervical cancer using machine learning algorithms. Methods: The present study ran
Tak Amit, Parihar Puran Mal, Singh Fatehpuriya Dharmendra, Singh Yogesh   +3 more
doaj   +1 more source

Classifying grains using behaviour-informed machine learning [PDF]

Scientific Reports, 2021
AbstractSorting granular materials such as ores, coffee beans, cereals, gravels and pills is essential for applications in mineral processing, agriculture and waste recycling. Existing sorting methods are based on the detection of contrast in grain properties including size, colour, density and chemical composition.
Sudip Laudari, Benjy Marks, Pierre Rognon   +2 more
openaire   +3 more sources

MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers

Sensors, 2021
Brain tumor classification plays an important role in clinical diagnosis and effective treatment. In this work, we propose a method for brain tumor classification using an ensemble of deep features and machine learning classifiers.
Jaeyong Kang, Zahid Ullah, Jeonghwan Gwak   +2 more
doaj   +1 more source

A comparative study of gastric histopathology sub-size image classification: From linear regression to visual transformer

Frontiers in Medicine, 2022
IntroductionGastric cancer is the fifth most common cancer in the world. At the same time, it is also the fourth most deadly cancer. Early detection of cancer exists as a guide for the treatment of gastric cancer.
Weiming Hu, Haoyuan Chen, Wanli Liu, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek, Marcin Grzegorzek, Chen Li   +8 more
doaj   +1 more source

Machine learning classifies cancer [PDF]

Nature, 2018
Brain tumours are often classified by visual assessment of tumour cells, yet such diagnoses can vary depending on the observer. Machine-learning methods to spot molecular patterns could improve cancer diagnosis. Brain tumours are often classified by visual assessment of tumour cells, yet such diagnoses can vary depending on the observer.
Derek, Wong, Stephen, Yip
openaire   +2 more sources

Differentiation of Bone Metastasis in Elderly Patients With Lung Adenocarcinoma Using Multiple Machine Learning Algorithms

Cancer Control, 2023
Objective We tested the performance of general machine learning and joint machine learning algorithms in the classification of bone metastasis, in patients with lung adenocarcinoma.
Cheng-Mao Zhou PhD, Ying Wang MD, Qiong Xue MS, Yu Zhu MS   +3 more
doaj   +1 more source

Coast type based accuracy assessment for coastline extraction from satellite image with machine learning classifiers

Egyptian Journal of Remote Sensing and Space Sciences, 2022
Machine learning (ML) classifiers provide convenience and accuracy in coastline extraction compared to traditional methods and image processing techniques.
Osman İsa Çelik, Cem Gazioğlu
doaj   +1 more source