scholarly journals Author Name Disambiguation by Using Deep Neural Network

2014 ◽  
pp. 123-132 ◽  
Author(s):  
Hung Nghiep Tran ◽  
Tin Huynh ◽  
Tien Do
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Name Disambiguation ◽  
Author Name Disambiguation

Improving Individual Based Author Classification Using Deep Neural Network

2018 ◽  
Vol 7 (3) ◽  
Author(s):  
Firdaus .
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Deep Neural Network ◽  
Deep Neural Networks ◽  
Levenshtein Distance ◽  
Improved Method ◽  
Name Disambiguation ◽  
Author Name Disambiguation ◽  
Distance Data

This paper proposed an improved method for author name disambiguation problem, both homonym and synonym. The data prepared is the distance data of each pair of author’s attributes, Levenshtein distance are used. Using Deep Neural Networks, we found large gains on performance. The result shows that level of accuracy is 99.6% with a low number of hidden layers

scholarly journals Deep Neural Network Structure to Improve Individual Performance based Author Classification

2019 ◽  
Vol 8 (1) ◽  
pp. 77-83
Author(s):  
Firdaus Firdaus ◽  
Muhammad Anshori ◽  
Sarifah Putri Raflesia ◽  
Ahmad Zarkasi ◽  
Mira Afrina ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Deep Neural Networks ◽  
Individual Performance ◽  
Levenshtein Distance ◽  
Improved Method ◽  
Name Disambiguation ◽  
Author Name Disambiguation ◽  
Neural Network Structure ◽  
Distance Data

This paper proposed an improved method for author name disambiguation problem, both homonym and synonym. The data prepared is the distance data of each pair of author’s attributes, Levenshtein distance are used. Using Deep Neural Networks, we found large gains on performance. The result shows that level of accuracy is 99.6% with a low number of hidden layers

Deep Neural Network Classification of I-123 Ioflupane SPECT

2020 ◽  
Author(s):  
David T. Wang ◽  
Brady Williamson ◽  
Thomas Eluvathingal ◽  
Bruce Mahoney ◽  
Jennifer Scheler
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Neural Network Classification

Method of determination of the text direction on the image with the use of convolutional neural network

2020 ◽  
pp. 96-99
Author(s):  
P.L. Nikolaev
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Deep Neural Network ◽  
Binary Classification ◽  
Synthetic Data ◽  
Real Data ◽  
Method Of Determination ◽  
Classification Of Images

This article deals with method of binary classification of images with small text on them Classification is based on the fact that the text can have 2 directions – it can be positioned horizontally and read from left to right or it can be turned 180 degrees so the image must be rotated to read the sign. This type of text can be found on the covers of a variety of books, so in case of recognizing the covers, it is necessary first to determine the direction of the text before we will directly recognize it. The article suggests the development of a deep neural network for determination of the text position in the context of book covers recognizing. The results of training and testing of a convolutional neural network on synthetic data as well as the examples of the network functioning on the real data are presented.

Underwater Fish Images Classification by Deep Neural Network

2020 ◽  
Author(s):  
Ala Supriya ◽  
Chiluka Venkat ◽  
Aliketti Deepak ◽  
GV Hari Prasad
Keyword(s):  
Neural Network ◽  
Deep Neural Network
Sign in / Sign up

Export Citation Format

Share Document