Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool
Abstract Background Medical Image segmentation is an important image processing step.
Comparing images to evaluate the quality of segmentation is an essential part of measuring …
Comparing images to evaluate the quality of segmentation is an essential part of measuring …
Linear and quadratic discriminant analysis: Tutorial
This tutorial explains Linear Discriminant Analysis (LDA) and Quadratic Discriminant
Analysis (QDA) as two fundamental classification methods in statistical and probabilistic …
Analysis (QDA) as two fundamental classification methods in statistical and probabilistic …
Sequential recommendation via stochastic self-attention
Sequential recommendation models the dynamics of a user's previous behaviors in order to
forecast the next item, and has drawn a lot of attention. Transformer-based approaches …
forecast the next item, and has drawn a lot of attention. Transformer-based approaches …
Statistical power to detect the correct number of classes in latent profile analysis
Little research has examined factors influencing statistical power to detect the correct
number of latent classes using latent profile analysis (LPA). This simulation study examined …
number of latent classes using latent profile analysis (LPA). This simulation study examined …
Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models
J Zipfel, F Verworner, M Fischer, U Wieland… - Computers & Industrial …, 2023 - Elsevier
Across many industries, visual quality assurance has transitioned from a manual, labor-
intensive, and error-prone task to a fully automated and precise assessment of industrial …
intensive, and error-prone task to a fully automated and precise assessment of industrial …
A comparative study of class rebalancing methods for security bug report classification
Identifying security bug reports (SBRs) accurately from a bug repository can reduce a
software product's security risk. However, the class imbalance problem exists for SBR …
software product's security risk. However, the class imbalance problem exists for SBR …
Time series anomaly detection for cyber-physical systems via neural system identification and bayesian filtering
C Feng, P Tian - Proceedings of the 27th ACM SIGKDD Conference on …, 2021 - dl.acm.org
Recent advances in AIoT technologies have led to an increasing popularity of utilizing
machine learning algorithms to detect operational failures for cyber-physical systems (CPS) …
machine learning algorithms to detect operational failures for cyber-physical systems (CPS) …
Apparatus method and medium for detecting payload anomaly using N-gram distribution of normal data
SJ Stolfo, K Wang - US Patent 8,644,342, 2014 - Google Patents
(57) ABSTRACT A method, apparatus and medium are provided for detecting anomalous
payloads transmitted through a network. The sys tem receives payloads within the network …
payloads transmitted through a network. The sys tem receives payloads within the network …
Cats are not fish: Deep learning testing calls for out-of-distribution awareness
As Deep Learning (DL) is continuously adopted in many industrial applications, its quality
and reliability start to raise concerns. Similar to the traditional software development …
and reliability start to raise concerns. Similar to the traditional software development …
Apparatus method and medium for tracing the origin of network transmissions using n-gram distribution of data
SJ Stolfo - US Patent 8,239,687, 2012 - Google Patents
A method, apparatus, and medium are provided for tracing the origin of network
transmissions. Connection records are maintained at computer system for storing source …
transmissions. Connection records are maintained at computer system for storing source …