July 2022

Table of Contents - PeerJ Computer Science

Sorted by published
Comp Sci
data-mining-and-machine-learning
Login to save + alerts
July 28, 2022
Self-supervised global context graph neural network for session-based recommendation
,
https://doi.org/10.7717/peerj-cs.1055
July 19, 2022
A high-performance, hardware-based deep learning system for disease diagnosis
, , ,
https://doi.org/10.7717/peerj-cs.1034
July 19, 2022
RuSentiTweet: a sentiment analysis dataset of general domain tweets in Russian
https://doi.org/10.7717/peerj-cs.1039
July 19, 2022
Self-supervised learning methods and applications in medical imaging analysis: a survey
,
https://doi.org/10.7717/peerj-cs.1045
July 14, 2022
The accuracy of Random Forest performance can be improved by conducting a feature selection with a balancing strategy
, ,
https://doi.org/10.7717/peerj-cs.1041
July 13, 2022
Deep fake detection using cascaded deep sparse auto-encoder for effective feature selection
, , , ,
https://doi.org/10.7717/peerj-cs.1040
July 8, 2022
Effective attributed network embedding with information behavior extraction
, ,
https://doi.org/10.7717/peerj-cs.1030
July 7, 2022
Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding
, ,
https://doi.org/10.7717/peerj-cs.1024
July 6, 2022
An empirical Bayes approach to stochastic blockmodels and graphons: shrinkage estimation and model selection
,
https://doi.org/10.7717/peerj-cs.1006
July 5, 2022
Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images
https://doi.org/10.7717/peerj-cs.1031

Archives - Computer Science

data-mining-and-machine-learning
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015

Filter on subjects this month

I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
Sohath Vanegas,
PeerJ Author
View author feedback