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Found 8 papers, 2 papers with code
A Brief Review of Explainable Artificial Intelligence in Healthcare
This paper presents a systematic review of XAI aspects and challenges in the healthcare domain.
Homography augumented momentum constrastive learning for SAR image retrieval
Deep learning-based image retrieval has been emphasized in computer vision.
Deep Data Density Estimation through Donsker-Varadhan Representation
Estimating the data density is one of the challenging problems in deep learning.
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection
Building a scalable machine learning system for unsupervised anomaly detection via representation learning is highly desirable.
Combining Stochastic Adaptive Cubic Regularization with Negative Curvature for Nonconvex Optimization
In this paper, we suggest an algorithm combining negative curvature with the adaptive cubic regularized Newton method to update even at unsuccessful iterations.
Extended Vertical Lists for Temporal Pattern Mining from Multivariate Time Series
We develop a new method called the Fast Temporal Pattern Mining with Extended Vertical Lists.
Machine Learning Methods for Data Association in Multi-Object Tracking
Data association is a key step within the multi-object tracking pipeline that is notoriously challenging due to its combinatorial nature.
Optimal statistical decision for Gaussian graphical model selection
However, in graphical model selection it is also important to take into account error rates for incorrect edge exclusion (Type II error).
