Results 61 to 70 of about 4,822,255 (284)

Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations

, 2017
We would like to learn a representation of the data which decomposes an observation into factors of variation which we can independently control.
Bouchacourt, Diane, Nowozin, Sebastian, Tomioka, Ryota   +2 more
core   +1 more source

Preferences of Pediatric Patients and Their Caregivers for Chemotherapy‐Induced Nausea and Vomiting Control Endpoints: A Mixed Methods Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman, Tadi Hondonga, Alison Berry, Caitlin Elgarten, Jason Freedman, Katelyn Oranges, Sara McDonough, Caroline Diorio, L. Lee Dupuis   +8 more
wiley   +1 more source

Survey on Encoding Schemes for Genomic Data Representation and Feature Learning—From Signal Processing to Machine Learning

Big Data Mining and Analytics, 2018
Data-driven machine learning, especially deep learning technology, is becoming an important tool for handling big data issues in bioinformatics. In machine learning, DNA sequences are often converted to numerical values for data representation and ...
Ning Yu, Zhihua Li, Zeng Yu
doaj   +1 more source

Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul, Jatuporn Sujjitjoon, Pa‐thai Yenchitsomanus, Kridtin Jarutatsanangkoon, Ng Wei Loon, Kleebsabai Sanpakit, Jassada Buaboonnam, Chayamon Takpradit, Pornpimon Yuti, Nunghathai Sawasdee, Piriya Luangwattananun, Siripakorn Sangkitporn, Arnan Limmahachai, La‐ongsri Atchaneeyasakul   +13 more
wiley   +1 more source

Metamodels for Hierarchical Topological Data Representation in Intelligent Manufacturing Systems

Applied Sciences
The kernel of intelligent manufacturing is data utilization, where data can be trained to build AI models to generate optimized control parameter values for production processes.
Chunyu Chen, Xinyang Ding, Wang Lin
doaj   +1 more source

Ternary representation of trivariate data [PDF]

Cytometry, 1989
AbstractA new fast trivariate display technique based on the ratio of three measured variables and of relative cell number, obtained from flow cytometric measurements, is described.
Sloot, P.M.A., Figdor, C.G.
openaire   +5 more sources

Quantum-like representation algorithm for trichotomous observables

, 2011
We study the problem of representation of statistical data (of any origin) by a complex probability amplitude. This paper is devoted to representation of data collected from measurements of two trichotomous observables.
Basieva, Irina, Nyman, Peter
core   +1 more source

Outcomes of Live Virus Vaccination in Patients With Vascular Anomalies Being Treated With Sirolimus

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Live vaccination in patients with vascular anomalies (VA) receiving sirolimus remains controversial due to immunosuppressive effects and theoretical risks. Procedure This single‐center retrospective study included patients with VA less than 4 years old at the start of sirolimus therapy who were incompletely vaccinated.
Svatava Merkle, Kiersten Ricci, Kelly Blache, Rebecca A. Marsh, Adrienne M. Hammill, Elissa Engel   +5 more
wiley   +1 more source

Tree Type Classification from ALS Data: A Comparative Analysis of 1D, 2D, and 3D Representations Using ML and DL Models

Remote Sensing
Accurate classification of individual tree types is a key component in forest inventory, biodiversity monitoring, and ecological modeling. This study evaluates and compares multiple Machine Learning (ML) and Deep Learning (DL) approaches for tree type ...
Sead Mustafić, Mathias Schardt, Roland Perko   +2 more
doaj   +1 more source

Using SVG and XSLT for graphic representation [PDF]

, 2003
Using SVG and XSLT for graphic representation In this paper we will present an XML based framework that can be used to produce graphical visualisation of scientific data. The approach rather than producing ordinary histogram and function diagaram graphs,
Baravalle, Andres, Gribaudo, Marco, Lanfranchi, Vitaveska   +2 more
core