Results 51 to 60 of about 343,541 (352)

AlbertoBarbado/unsupervised-outlier-transparency v1.0.0

, 2019
<p>Implementation of different algorithms to infer comprehensible explanations from the outcome of an unsupervised outlier detection algorithm</p> <p>OneClass SVM is a popular method to perform unsupervised outlier detection on the ...
Barbado Gonzalez, Alberto
core   +1 more source

Assessing Steady-State, Multivariate Experimental Data Using Gaussian Processes: The GPExp Open-Source Library

Energies, 2016
Experimental data are subject to different sources of disturbance and errors, whose importance should be assessed. The level of noise, the presence of outliers or a measure of the “explainability” of the key variables with respect to the externally ...
Sylvain Quoilin, Jessica Schrouff
doaj   +1 more source

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro, Freda Qi, Karen Colwill, Alina D. Dorogy, Ying Liu, Michelle Science, Anne‐Claude Gingras, James M. Rini, Sumit Gupta, Sarah Alexander, Shelly Bolotin, Tania H. Watts   +11 more
wiley   +1 more source

A Distributed Solution for Privacy Preserving Outlier Detection [PDF]

, 2011
In this paper, we study some parties - each has a private data set - want to conduct the outlier detection on their joint data set, but none of them want to disclose its private data to the other parties.
Luong, The Dung, Ho, Tu Bao
core   +1 more source

Optimasi Algoritma K-Nearest Neighbors Berdasarkan Perbandingan Analisis Outlier (Berbasis Jarak, Kepadatan, LOF)

Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Pertumbuhan data yang terjadi saat ini berpengaruh terhadap analisis data di berbagai bidang, seperti astronomi, bisnis, kedokteran, pendidikan, dan finansial.
Fitri Ayuning Tyas, Mahda Nurayuni, Hidayatur Rakhmawati   +2 more
doaj   +1 more source

Breakdown Point of Robust Support Vector Machines

Entropy, 2017
Support vector machine (SVM) is one of the most successful learning methods for solving classification problems. Despite its popularity, SVM has the serious drawback that it is sensitive to outliers in training samples.
Takafumi Kanamori, Shuhei Fujiwara, Akiko Takeda   +2 more
doaj   +1 more source

Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index (IEWQI) model.

Water Research
Recently, there has been a significant advancement in the water quality index (WQI) models utilizing data-driven approaches, especially those integrating machine learning and artificial intelligence (ML/AI) technology.
Md. Galal Uddin, Azizur Rahman, Firouzeh Rosa Taghikhah, A. I. Olbert   +3 more
semanticscholar   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Gibbs sampling will fail in outlier problems with strong masking [PDF]

, 1995
This paper discusses the convergence of the Gibbs sampling algorithm when it is applied to the problem of outlier detection in regression models. Given any vector of initial conditions, theoretically, the algorithm converges to the true posterior ...
Justel, Ana, Peña, Daniel, Daniel Peña, Ana Juste   +3 more
core  

Effective and Robust Boundary-Based Outlier Detection Using Generative Adversarial Networks

, 2022
Outlier detection aims to identify samples that do not match the expected patterns or major distribution of the dataset. It has played an important role in many domains such as credit card fraud identification, network intrusion detection, medical image ...
Liang Chang, Liang, Qiliang, Hongzhou Li, Zhang, Ji, Mohamed Jaward Bah, Qiliang Liang, Bah, Mohamed Jaward, Li, Hongzhou, Chang, Liang, Kiran, Rage Uday, Ji Zhang, Rage Uday Kiran   +11 more
core   +1 more source