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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
deep learning methods
biblio
Fraud Detection using Machine Learning and Deep Learning
Submitted by aekwall on Mon, 08/24/2020 - 12:37pm
credit card
Europe
Forestry
Credit cards
area under the ROC curve
Australian dataset
autoencoder
benchmark multiple machine learning methods
Boltzmann machines
cost of failure
financial data processing
data mining techniques
Deep belief networks
EU
European dataset
German dataset
k nearest neighbor
Matthews correlation coefficient
restricted boltzmann machine
security checks
pattern classification
Support vector machines
support vector machine
learning (artificial intelligence)
machine learning
Random Forest
Resiliency
pubcrawl
composability
deep learning
Data models
convolutional neural nets
deep learning methods
Data mining
convolutional neural networks
Artificial Neural Networks
belief networks
fraud
fraud detection
biblio
Attention in Recurrent Neural Networks for Ransomware Detection
Submitted by aekwall on Mon, 10/07/2019 - 10:42am
Metrics
Windows environment
user access
Scalability
Resiliency
Recurrent neural networks
recurrent neural nets
ransomware sequences
ransomware executables
ransomware detection
ransomware attacks
Ransomware
pubcrawl
pattern locks
organizational level
Microprocessors
attention mechanisms
malware detection
malicious software
LSTM models
LSTM
Long short-term memory
Logic gates
learning (artificial intelligence)
invasive software
Human behavior
deep learning methods
deep learning
computer security
computer architecture
composability
biblio
Intelligent monitoring of indoor surveillance video based on deep learning
Submitted by aekwall on Mon, 08/12/2019 - 8:46am
Streaming media
protection system
pubcrawl
recurrent neural nets
Resiliency
Scalability
Semantics
smart monitoring system
storage management
pose estimation
surveillance
surveillance cameras
Surveillance video
Training
video image
video signal processing
video surveillance
video surveillance system
indoor surveillance video
convolutional neural nets
deep learning
deep learning methods
deep video
fine-tuning network
high-quality segmentation mask
image retrieval
image segmentation
Cameras
information technology
Instance Segmentation
intelligent monitoring
intelligent video analytics technology
learning (artificial intelligence)
Mask R-CNN
Metrics
object detection
biblio
A Comparative Study of Spam SMS Detection Using Machine Learning Classifiers
Submitted by aekwall on Mon, 02/25/2019 - 10:42am
Filtering
text messages
stylistic features
spam SMS detection
Spam SMS
smart phones
short message service
phones
machine learning classifiers
information filtering
filtering spam emails
detection
deep learning methods
content-based machine learning techniques
content based advertisement
CAP curve
Scalability
machine learning
spam messages
electronic messaging
Unsolicited electronic mail
spam detection
unsolicited e-mail
pattern classification
Neural networks
Metrics
pubcrawl
Human behavior
learning (artificial intelligence)
Classification algorithms
Bayes methods
biblio
A Social Science-based Approach to Explanations for (Game) AI
Submitted by grigby1 on Mon, 12/10/2018 - 10:41am
human working memory limitation
xai
working memory
super-sensors
social sciences
social science-based approach
Scalability
Resiliency
resilience
pubcrawl
Object oriented modeling
learning (artificial intelligence)
image recognition
AI revolution
GVGAI framework
Games
explainable AI
deep learning methods
computer games
Complexity theory
complex algorithmic systems
collaboration
Brain modeling
bottom-up approach
baseline definition
Artificial Intelligence
