Skip to Main Content Area
CPS-VO
Contact Support
Browse
Calendar
Announcements
Repositories
Groups
Search
Search for Content
Search for a Group
Search for People
Search for a Project
Tagcloud
› Go to login screen
Not a member?
Click here to register!
Forgot username or password?
Cyber-Physical Systems Virtual Organization
Fostering collaboration among CPS professionals in academia, government, and industry
CPS-VO
machine learning methods
biblio
Research of Classical Machine Learning Methods and Deep Learning Models Effectiveness in Detecting Anomalies of Industrial Control System
Submitted by
grigby1
on Mon, 06/10/2019 - 12:56pm
Anomaly Detection
anomaly detection evaluation dataset
composability
control engineering computing
Cyber Attacks
Data processing
Decision trees
deep learning
deep learning models
Feeds
ICs
ICS security
industrial control
industrial process anomaly detection task
learning (artificial intelligence)
linear algorithms
machine learning
machine learning algorithms
machine learning methods
modern industrial control systems
neural nets
Neural networks
privacy
production engineering computing
pubcrawl
resilience
Resiliency
security
security of data
signal correlations
Support vector machines
Tennessee Eastman process simulation data
Training
biblio
Low-Cost Breaking of a Unique Chinese Language CAPTCHA Using Curriculum Learning and Clustering
Submitted by
aekwall
on Mon, 04/01/2019 - 9:08am
automated access
CAPTCHA
captchas
Chinese language question-and-answer Website
CNN
composability
convolution
convolutional neural network
convolutional neural networks
correct response
curriculum clustering
curriculum learning
feature map
feedforward neural nets
Human behavior
human user
image distortion
inverted character
inverted characters
inverted symbols
Kernel
learning (artificial intelligence)
low-cost breaking
machine learning methods
microsoft windows
natural language processing
OCR software
optical character recognition
pattern clustering
potential training methods
pubcrawl
security
Task Analysis
text analysis
text distortion
text-based CAPTCHAs focus
Training
transcription tasks
unique Chinese language CAPTCHA
web services
Web sites
biblio
Detection of Spam E-mails with Machine Learning Methods
Submitted by
aekwall
on Mon, 02/25/2019 - 10:42am
Analytical models
Bayes methods
content information
e-mail communication
e-mail filtering
Filtering
Human behavior
internet
learning (artificial intelligence)
machine learning
machine learning methods
Metrics
naïve Bayes classifier
offensive content
pattern classification
Postal services
pubcrawl
Scalability
security of data
spam detection
spam e-mails
spam filtering
unsolicited e-mail
Unsolicited electronic mail
vector space model
biblio
Columbus: Filesystem Tree Introspection for Software Discovery
Submitted by
grigby1
on Tue, 12/12/2017 - 12:19pm
agile development practices
cloud
Cloud Computing
Columbus
Compositionality
data structures
Docker Images
drift detection situations
feature extraction
file metadata
filesystem tree introspection
learning (artificial intelligence)
licensing requirement compliance
machine learning methods
meta data
metadata
Metadata Discovery Problem
Operational analytics
Packaging
problem diagnosis
program diagnostics
pubcrawl
querying package management tools
Resiliency
Scalability
software discovery
software engineering
software management
software packages
software packaging knowledge
standards
tools
biblio
Enhanced recognition of keystroke dynamics using Gaussian mixture models
Submitted by
grigby1
on Wed, 03/08/2017 - 1:45pm
authentication
biometrics
biometrics (access control)
computer authentication
Cryptographic Protocols
digraph patterns
directed graphs
EER
enhanced recognition
equal error rate
error statistics
feature extraction
Gaussian density estimator
gaussian distribution
Gaussian mixture model
Gaussian Mixture Models
Gaussian processes
GMM
human computer interaction
image enhancement
image recognition
keystroke data
keystroke dynamics
learning (artificial intelligence)
machine learning methods
mixture models
outlier detection
pubcrawl170115
standards
