Results 11 to 20 of about 4,952,791 (292)

The 2021 WHO Classification of Tumors of the Central Nervous System: a summary.

open access: yesNeuro-Oncology, 2021
The fifth edition of the WHO Classification of Tumors of the Central Nervous System (CNS), published in 2021, is the sixth version of the international standard for the classification of brain and spinal cord tumors.
D. Louis   +12 more
semanticscholar   +1 more source

Pattern Classification

open access: yesEncyclopedia of Mathematical Geosciences, 2021
The computational neural-network structures described in the literature are often based on the concept of linear neural units (LNUs). The biological neuron is a complex computing element, which performs more computations than just linear summation.
Katherine L. Silversides
semanticscholar   +1 more source

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation [PDF]

open access: yesComputer Vision and Pattern Recognition, 2016
Point cloud is an important type of geometric data structure. Due to its irregular format, most researchers transform such data to regular 3D voxel grids or collections of images. This, however, renders data unnecessarily voluminous and causes issues. In
C. Qi, Hao Su, Kaichun Mo, L. Guibas
semanticscholar   +1 more source

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

open access: yesBMC Genomics, 2020
To evaluate binary classifications and their confusion matrices, scientific researchers can employ several statistical rates, accordingly to the goal of the experiment they are investigating.
D. Chicco, Giuseppe Jurman
semanticscholar   +1 more source

Bag of Tricks for Efficient Text Classification [PDF]

open access: yesConference of the European Chapter of the Association for Computational Linguistics, 2016
This paper explores a simple and efficient baseline for text classification. Our experiments show that our fast text classifier fastText is often on par with deep learning classifiers in terms of accuracy, and many orders of magnitude faster for training
Armand Joulin   +3 more
semanticscholar   +1 more source

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification [PDF]

open access: yesIEEE International Conference on Computer Vision, 2015
Rectified activation units (rectifiers) are essential for state-of-the-art neural networks. In this work, we study rectifier neural networks for image classification from two aspects.
Kaiming He   +3 more
semanticscholar   +1 more source

Analysis of Sacrificial Anode Inspection Standards in Ships and Marine Engineering [PDF]

open access: yesCailiao Baohu, 2023
Cathodic protection utilizing sacrificial anodes is an effective method to prevent marine ships and marine engineering structures from corrosion in seawater.
XU Jianing
doaj   +1 more source

The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours: Myeloid and Histiocytic/Dendritic Neoplasms

open access: yesLeukemia, 2022
The upcoming 5th edition of the World Health Organization (WHO) Classification of Haematolymphoid Tumours is part of an effort to hierarchically catalogue human cancers arising in various organ systems within a single relational database.
J. Khoury   +61 more
semanticscholar   +1 more source

Design of electrical system to guarantee safety of small polar cruise ship after casualty

open access: yesZhongguo Jianchuan Yanjiu, 2022
ObjectivesIn order to solve problems such as bad weather conditions, remote routes, long rescue time and no suitable port of call for rescue supplies, which are unique to polar routes and not conducive to personnel safety, this paper presents a design ...
Yan CUI, Yajuan GU
doaj   +1 more source

The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours: Lymphoid Neoplasms

open access: yesLeukemia, 2022
We herein present an overview of the upcoming 5th edition of the World Health Organization Classification of Haematolymphoid Tumours focussing on lymphoid neoplasms.
R. Alaggio   +82 more
semanticscholar   +1 more source

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