Results 71 to 80 of about 22,229,619 (357)

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

Generalized Heisenberg Model

Theoretical and Mathematical Physics, 2002
LaTeX, 8 pages. Theoretical and Mathematical Physics, 130(3): 383-390 (2002) Translated from Teoreticheskaya i Matematicheskaya Fizika, Vol. 130, No. 3, pp. 451-459, March, 2002.
openaire   +2 more sources

Wavenet based low rate speech coding

, 2017
Traditional parametric coding of speech facilitates low rate but provides poor reconstruction quality because of the inadequacy of the model used. We describe how a WaveNet generative speech model can be used to generate high quality speech from the bit ...
Kleijn, W. Bastiaan, Lim, Felicia S. C., Luebs, Alejandro, Skoglund, Jan, Stimberg, Florian, Walters, Thomas C., Wang, Quan   +6 more
core   +1 more source

Improved Outcomes for Older Children, Adolescents, and Young Adults With Neuroblastoma in the Post‐Immunotherapy Era: An Updated Report From the International Neuroblastoma Risk Group

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background We describe clinical and biologic characteristics of neuroblastoma in older children, adolescents, and young adults (OCAYA); describe survival outcomes in the post‐immunotherapy era; and identify if there is an age cut‐off that best discriminates outcomes.
Rebecca J. Deyell, Kavitha Srivatsa, Paola Angelini, Pei‐Chi Kao, Brady Payne, Arlene Naranjo, Sveva Castelli, Miho Kato, Miki Ohira, Ulriche Pöetschger, Yaël Mossé, Lucas Moreno, Meredith S. Irwin, Ramya Ramanujachar, Wendy B. London   +14 more
wiley   +1 more source

A Dynamical Generative Model of Social Interactions

Frontiers in Neurorobotics, 2021
The ability to make accurate social inferences makes humans able to navigate and act in their social environment effortlessly. Converging evidence shows that motion is one of the most informative cues in shaping the perception of social interactions ...
Alessandro Salatiello, Mohammad Hovaidi-Ardestani, Martin A. Giese   +2 more
doaj   +1 more source

More general credibility models [PDF]

Mathematica Bohemica, 2009
Summary: This communication gives some extensions of the original Bühlmann model. The paper is devoted to semi-linear credibility, where one examines functions of the random variables representing claim amounts, rather than the claim amounts themselves.
openaire   +3 more sources

Auxiliary Deep Generative Models [PDF]

, 2016
Deep generative models parameterized by neural networks have recently achieved state-of-the-art performance in unsupervised and semi-supervised learning.
Maaløe, Lars, Sønderby, Casper Kaae, Sønderby, Søren Kaae, Winther, Ole   +3 more
core   +1 more source

Patient‐Level Barriers and Facilitators to Inpatient Physical Therapy in Adolescents and Young Adults With a Hematological Malignancy: A Qualitative Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher, Jennifer L. Bernstein, Katia M. Crisler, Julia K. Herriott, Kimberly L. Klages, Robin E. Norris, Mariann L. Strenk, Sarah E. Bills, Meghan E. McGrady   +8 more
wiley   +1 more source

A method for estimating the step size of underground personnel based on generative adversarial networks

Gong-kuang zidonghua
In response to the problems of cumulative errors in step size estimation and the large sample size required by traditional deep learning methods in the pedestrian dead reckoning (PDR) based underground personnel positioning system in coal mines, a step ...
WANG Taiji
doaj   +1 more source

Multiscale Structure and Texture Feature Fusion for Image Inpainting

IEEE Access, 2022
In order to achieve interaction between structure and texture information in generative adversarial image inpainting networks and improve the semantic veracity of the restored images, unlike the original two-stage inpainting ideas where texture and ...
Lan Li, Mingju Chen, Haode Shi, Zhengxu Duan, Xingzhong Xiong   +4 more
doaj   +1 more source