How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing
Deep learning (DL) models for natural language processing (NLP) tasks often handle
private data, demanding protection against breaches and disclosures. Data protection laws …
private data, demanding protection against breaches and disclosures. Data protection laws …
BAT: Deep learning methods on network intrusion detection using NSL-KDD dataset
T Su, H Sun, J Zhu, S Wang, Y Li - IEEE Access, 2020 - ieeexplore.ieee.org
Intrusion detection can identify unknown attacks from network traffics and has been an
effective means of network security. Nowadays, existing methods for network anomaly …
effective means of network security. Nowadays, existing methods for network anomaly …
Automated triaging of adult chest radiographs with deep artificial neural networks
M Annarumma, SJ Withey, RJ Bakewell, E Pesce… - Radiology, 2019 - pubs.rsna.org
Purpose To develop and test an artificial intelligence (AI) system, based on deep
convolutional neural networks (CNNs), for automated real-time triaging of adult chest …
convolutional neural networks (CNNs), for automated real-time triaging of adult chest …
Deep lesion graphs in the wild: relationship learning and organization of significant radiology image findings in a diverse large-scale lesion database
Radiologists in their daily work routinely find and annotate significant abnormalities on a
large number of radiology images. Such abnormalities, or lesions, have collected over years …
large number of radiology images. Such abnormalities, or lesions, have collected over years …
Learning to summarize radiology findings
The Impression section of a radiology report summarizes crucial radiology findings in natural
language and plays a central role in communicating these findings to physicians. However …
language and plays a central role in communicating these findings to physicians. However …
Learning to detect chest radiographs containing pulmonary lesions using visual attention networks
E Pesce, SJ Withey, PP Ypsilantis, R Bakewell… - Medical image …, 2019 - Elsevier
Abstract Machine learning approaches hold great potential for the automated detection of
lung nodules on chest radiographs, but training algorithms requires very large amounts of …
lung nodules on chest radiographs, but training algorithms requires very large amounts of …
Rule-based adversarial sample generation for text classification
Abstract In Text Classification, modern neural networks have achieved great performance,
but simultaneously, it is sensitive to adversarial examples. Existing studies usually use …
but simultaneously, it is sensitive to adversarial examples. Existing studies usually use …
Text mining and emotion classification on monkeypox Twitter dataset: A deep learning-natural language processing (NLP) approach
Emotion classification has become a valuable tool in analyzing text and emotions people
express in response to events or crises, particularly on social media and other online …
express in response to events or crises, particularly on social media and other online …
Automated identification of toxic code reviews using toxicr
Toxic conversations during software development interactions may have serious
repercussions on a Free and Open Source Software (FOSS) development project. For …
repercussions on a Free and Open Source Software (FOSS) development project. For …
Forecasting covid-19 pandemic using prophet, lstm, hybrid gru-lstm, cnn-lstm, bi-lstm and stacked-lstm for india
The COVID-19 Pandemic has been around for four years and remains a health concern for
everyone. Although things are somewhat returning to normal, increased incidence of COVID …
everyone. Although things are somewhat returning to normal, increased incidence of COVID …