Results 71 to 80 of about 5,238,545 (299)

Geometric Morphometric Data Augmentation Using Generative Computational Learning Algorithms

Applied Sciences, 2020
The fossil record is notorious for being incomplete and distorted, frequently conditioning the type of knowledge that can be extracted from it. In many cases, this often leads to issues when performing complex statistical analyses, such as classification
Lloyd A. Courtenay, Diego González-Aguilera   +1 more
doaj   +1 more source

A Multi-Step Anomaly Detection Strategy Based on Robust Distances for the Steel Industry

IEEE Access, 2021
Steel making industries exhibit extreme working conditions characterized by high temperature, pressure, and production speed as well as intense throughput.
Kisan Sarda, Antonio Acernese, Vittorio Nole, Leonardo Manfredi, Luca Greco, Luigi Glielmo, Carmen Del Vecchio   +6 more
doaj   +1 more source

Robust CFAR Detector Based on Truncated Statistics for Polarimetric Synthetic Aperture Radar

IEEE Transactions on Geoscience and Remote Sensing, 2020
Constant false alarm rate (CFAR) algorithms using a local training window are widely used for ship detection with synthetic aperture radar (SAR) imagery. However, when the density of the targets is high, such as in busy shipping lines and crowded harbors,
Tao Liu, Ziyuan Yang, A. Marino, Gui Gao, Jian Yang   +4 more
semanticscholar   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

A Modified Residual-Based RAIM Algorithm for Multiple Outliers Based on a Robust MM Estimation

Sensors, 2020
The residual-based (RB) receiver autonomous integrity monitoring (RAIM) detector is a widely used receiver integrity enhancement technology that has the ability to rapidly respond to outliers.
Wenbo Wang, Ying Xu
doaj   +1 more source

Prognostic Impact of Treatment Modalities, Including Targeted Compartmental Radio‐Immunotherapy, in a Cohort of Neuroblastoma Patients With CNS Metastases at Relapse

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez, Anna Felip‐Badia, Marina Caballero‐Bellon, Nazaret Sanchez‐Sierra, Alicia Castañeda, Moira Garraus, Maite Gorostegui, Margarida Simão‐Rafael, Juan Pablo Muñoz, Marta Perez‐Somarriba, Salvador Mañe, Mariana Cecilia Planells, Sara Perez‐Jaume, Jaume Mora   +13 more
wiley   +1 more source

FORCE: Fast Outlier-Robust Correlation Estimation via Streaming Quantile Approximation for High-Dimensional Data Streams

Mathematics
The estimation of correlation matrices in high-dimensional data streams presents a fundamental conflict between computational efficiency and statistical robustness.
Sooyoung Jang, Changbeom Choi
doaj   +1 more source

Empirical risk minimization for heavy-tailed losses

, 2015
The purpose of this paper is to discuss empirical risk minimization when the losses are not necessarily bounded and may have a distribution with heavy tails.
Brownlees, Christian, Joly, Emilien, Lugosi, Gábor   +2 more
core   +1 more source

Developmental Disorders in Children Recently Diagnosed With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neurocognitive deficits in adult survivors of childhood cancer are well established, but less is known about developmental disorders (DD) arising shortly after cancer diagnosis. Using 2016–2019 linked Ohio cancer registry and Medicaid data, we compared DD among 324 children with cancer and 606,913 cancer‐free controls.
Jamie Shoag, Long Vu, Ritika Miryala, Jeffrey M. Albert, Molly McVoy, Siran M. Koroukian   +5 more
wiley   +1 more source

Applications of Robust Statistics in Autonomous Driving

IEEE Access
Autonomous vehicles have to interact with their environment with the goal to fulfill their tasks while respecting all desired constraints such as not causing dangerous situations, driving comfortable maneuvers, enabling a smooth traffic flow, or avoiding
Tino Werner
doaj   +1 more source