Results 61 to 70 of about 356,686 (298)

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Outlier Detection at the Parcel-Level in Wheat and Rapeseed Crops Using Multispectral and SAR Time Series

Remote Sensing, 2021
This paper studies the detection of anomalous crop development at the parcel-level based on an unsupervised outlier detection technique. The experimental validation is conducted on rapeseed and wheat parcels located in Beauce (France).
Florian Mouret, Mohanad Albughdadi, Sylvie Duthoit, Denis Kouamé, Guillaume Rieu, Jean-Yves Tourneret   +5 more
doaj   +1 more source

BCG vaccination potentiates oxidative phosphorylation in neonatal myeloid‐derived suppressor cells

FEBS Open Bio, EarlyView.
BCG vaccination enhances oxidative phosphorylation in neonatal MDSCs, impairing their immunosuppressive function. It upregulates electron transport chain genes and mitochondrial activity, increasing ATP and oxygen consumption. Pharmacological OXPHOS inhibition partially restores suppressive capacity, confirming causality.
Yingying Chen, Hui Li
wiley   +1 more source

Unsupervised spectral learning

CoRR, 2012
In spectral clustering and spectral image segmentation, the data is partioned starting from a given matrix of pairwise similarities S. the matrix S is constructed by hand, or learned on a separate training set. In this paper we show how to achieve spectral clustering in unsupervised mode.
Susan M. Shortreed, Marina Meila
openaire   +4 more sources

Jando93/Sentinel-1-unsupervised-burned-area-detection: Sentinel-1-unsupervised-burned-area-detection

, 2021
This code represents a processing workflow for the unsupervised detection and mapping of burned areas using SAR Sentinel-1 (S-1) satellite data.
Jando93
core   +1 more source

Understanding Further the Phenotypic Spectrum of Central Nervous System Inflammatory Demyelinating Disorders Using Unsupervised Clustering

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Central nervous system (CNS) inflammatory demyelinating syndromes, including multiple sclerosis (MS), aquaporin‐4 antibody–positive neuromyelitis optica spectrum disorder (AQP4 + NMOSD), and myelin oligodendrocyte glycoprotein (MOG) antibody–associated disease (MOGAD), occasionally overlap.
Bade Gulec, Elif Everest, Melih Tutuncu, Ugur Bilge, Sabahattin Saip, Ugur Uygunoglu, Aksel Siva   +6 more
wiley   +1 more source

Unsupervised Transformer Boundary Autoencoder Network for Hyperspectral Image Change Detection

Remote Sensing, 2023
In the field of remote sens., change detection is an important monitoring technology. However, effectively extracting the change feature is still a challenge, especially with an unsupervised method.
Song Liu, Haiwei Li, Feifei Wang, Junyu Chen, Geng Zhang, Liyao Song, Bingliang Hu   +6 more
doaj   +1 more source

Unsupervised Deep Tracking [PDF]

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
to appear in CVPR ...
Ning Wang 0020, Yibing Song, Chao Ma 0004, Wengang Zhou 0001, Wei Liu 0005, Houqiang Li   +5 more
openaire   +4 more sources

A summary of the 2012 JHU CLSP Workshop on Zero Resource Speech Technologies and Models of Early Language Acquisition [PDF]

, 2013
We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and scientific issues surrounding zero resource (unsupervised) speech technologies and related models of early language acquisition.
Johnson, Mark, Balakrishnan Varadarajan, Ian McGraw, Sanjeev Khudanpur, Church, Kenneth, Florian Metze, Fourtassi, Abdallah, Naomi Feldman, Bennett, Erin, Pascal Clark, Hermansky, Hynek, Clark, Pascal, Thomas Schatz, Harwath, David, Norouzian, Atta, Peddinti, Vijay, Sharon Goldwater, Varadarajan, Balakrishnan, Emmanuel Dupoux, Kenneth Church, Benjamin Borschinger, Samuel Thomas, Chiu, Justin, Metze, Florian, David Harwath, Erin Bennett, Rachael Richardson, Aren Jansen, Abdellah Fourtassi, Mark Johnson, Ewan Dunbar, Khudanpur, Sanjeev, Dunbar, Ewan, Hynek Hermansky, Richardson, Rachel, Atta Norouzian, Schatz, Thomas, McGraw, Ian, Vijayaditya Peddinti, Richard Rose, Feldman, Naomi, Mike Seltzer, Dupoux, Emmanuel, Chia-ying Lee, Borschinger, Benjamin, Levin, Keith, Keith Levin, Thomas, Samuel, Justin Chiu, Rose, Richard, Jansen, Aren, Seltzer, Mike, Goldwater, Sharon; id_orcid, Lee, Chia-ying   +53 more
core   +1 more source

Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane, Valentina Giunchiglia, Michael C. B. David, Magdalena A. Kolanko, William R. Trender, Peter J. Hellyer, Harmeena Kaur, David J. Sharp, Christopher Carswell, Paresh A. Malhotra, Adam Hampshire   +10 more
wiley   +1 more source