Results 41 to 50 of about 1,057,367 (187)

The ubiquitin-editing enzyme A20 controls NK cell homeostasis through regulation of mTOR activity and TNF [PDF]

open access: yes, 2019
The ubiquitin-editing enzyme A20 is a well-known regulator of immune cell function and homeostasis. In addition, A20 protects cells from death in an ill-defined manner.
Boon, Louis   +17 more
core   +6 more sources

Schaefer's theorem for graphs [PDF]

open access: yes, 2015
Schaefer's theorem is a complexity classification result for so-called Boolean constraint satisfaction problems: it states that every Boolean constraint satisfaction problem is either contained in one out of six classes and can be solved in polynomial ...
Bodirsky, Manuel, Pinsker, Michael
core   +2 more sources

Improving Skin-Disease Classification Based on Customized Loss Function Combined With Balanced Mini-Batch Logic and Real-Time Image Augmentation

open access: yesIEEE Access, 2020
Skin cancer is one of the most common cancers in the world. However, the disease is curable if detected in the beginning stage. Early detection of malignant lesions through accurate techniques and innovative technologies has a significant impact on ...
Tri-Cong Pham   +4 more
doaj   +1 more source

ROC Curves, Loss Functions, and Distorted Probabilities in Binary Classification

open access: yesMathematics, 2022
The main purpose of this work is to study how loss functions in machine learning influence the “binary machines”, i.e., probabilistic AI models for predicting binary classification problems.
Phuong Bich Le, Zung Tien Nguyen
doaj   +1 more source

Machine Learning Techniques for Stellar Light Curve Classification [PDF]

open access: yes, 2018
We apply machine learning techniques in an attempt to predict and classify stellar properties from noisy and sparse time series data. We preprocessed over 94 GB of Kepler light curves from MAST to classify according to ten distinct physical properties ...
Hinners, Trisha   +2 more
core   +2 more sources

Bayesian estimation of the Pareto model based on type-II censoring data by employing non-linear programming

open access: yesAlexandria Engineering Journal
The main goal of this article is to determine the optimally weighted coefficients (Ω1and Ω2) of the balanced loss function of the form. LΚ,Ω,ξoΨ(σ),ξ=Ω1γσΚξo,ξ+Ω2γσΚΨ(σ),ξ;Ω1+Ω2=1.
Laila A. AL-Essa   +3 more
doaj   +1 more source

Class Balanced Loss for Image Classification

open access: yesIEEE Access, 2020
In the study of image classification, neural network learning relies heavily on datasets. Due to variability in the difficulty of collecting images in reality, datasets tend to have class imbalance problems, which undoubtedly increases the difficulty of ...
Lin Wang   +4 more
doaj   +1 more source

Case Report: Filling Defect in Posterior Semicircular Canal on MRI With Balanced Steady-State Gradient-Echo Sequences After Labyrinthine Ischemia in the Common Cochlear Artery Territory as an Early Sign of Fibrosis

open access: yesFrontiers in Neurology, 2021
We describe a rare case of posterior semicircular canal (PSC) fibrosis following acute labyrinthine ischemia in the territory supplied by the common cochlear artery (CCA) and review the relevant literature.
Andrea Castellucci   +14 more
doaj   +1 more source

On the connection between quantum nonlocality and phase sensitivity of two-mode entangled Fock state superpositions [PDF]

open access: yes, 2015
In two-mode interferometry, for a given total photon number $N$, entangled Fock state superpositions of the form $(|N-m\rangle_a|m\rangle_b+e^{i (N-2m)\phi}|m\rangle_a|N-m\rangle_b)/\sqrt{2}$ have been considered for phase estimation.
Dowling, Jonathan P.   +4 more
core   +3 more sources

Parameter and Reliability Inferences of Inverted Exponentiated Half-Logistic Distribution under the Progressive First-Failure Censoring

open access: yesMathematics, 2020
Using progressive first-failure censored samples, we mainly study the inferences of the unknown parameters and the reliability and failure functions of the Inverted Exponentiated Half-Logistic distribution.
Fengshi Zhang, Wenhao Gui
doaj   +1 more source

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