Results 61 to 70 of about 1,676,212 (286)

Conditional Domain Adaptation with α-Rényi Entropy Regularization and Noise-Aware Label Weighting

Mathematics
Domain adaptation is a key approach to ensure that artificial intelligence models maintain reliable performance when facing distributional shifts between training (source) and testing (target) domains.
Diego Armando Pérez-Rosero, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez   +2 more
doaj   +1 more source

Emotion recognition from physiological signals

Journal of Medical Engineering & Technology, 2011
Emotion recognition is one of the great challenges in human-human and human-computer interaction. Accurate emotion recognition would allow computers to recognize human emotions and therefore react accordingly. In this paper, an approach for emotion recognition based on physiological signals is proposed.
GOUIZI, K., BEREKSI REGUIG, F., MAAOUI, C.   +2 more
openaire   +4 more sources

NRASQ61R Expression in Lymphatic Endothelial Cells Causes Enlarged Vessels, Hemorrhagic Chylous Effusions, and High Mortality in a Mouse Model of Kaposiform Lymphangiomatosis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Kaposiform lymphangiomatosis (KLA) is an aggressive complex lymphatic anomaly. Patients exhibit malformed lymphatic vessels and often develop hemorrhagic effusions and elevated angiopoietin‐2 (Ang‐2) levels. A somatic NRAS p.Q61R (NRASQ61R) mutation has been associated with KLA.
C. Griffin McDaniel, Patricia Pastura, Joshua P. Scallan, Timothy D. Le Cras   +3 more
wiley   +1 more source

Financial Burden Associated With Hospitalisation Among Families of Childhood Brain Tumours in Australia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim, Natalie Bradford, David Brain, Sameera Senanayake, Sanjeewa Kularatna, Kate Young, Christine Cashion, Tim Hassall, Susanna Cramb   +8 more
wiley   +1 more source

Gaussian Connectivity-Driven EEG Imaging for Deep Learning-Based Motor Imagery Classification

Sensors
Electroencephalography (EEG)-based motor imagery (MI) brain–computer interfaces (BCIs) hold considerable potential for applications in neuro-rehabilitation and assistive technologies.
Alejandra Gomez-Rivera, Diego Fabian Collazos-Huertas, David Cárdenas-Peña, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez   +4 more
doaj   +1 more source

Mixture Density Networks, Human Articulatory Data and Acoustic-to-Articulatory Inversion of Continuous Speech [PDF]

, 2001
Researchers have been investigating methods for retrieving the articulation underlying an acoustic speech signal for more than three decades. A successful method would find many applications, for example: low bit-rate speech coding, helping individuals ...
Richmond, K.
core  

The Fate (Outcome) of Clinically Apparent Single Lesion and Oligofocal Nephroblastomatosis Treated According to SIOP/GPOH Protocols for Wilms Tumor

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter, Jens‐Peter Schenk, Jenny Wegert, Manfred Gessler, Leo Kager, Stefan Wagenpfeil, Marina Müller, Jean‐Michel Wolff, Joerg Fuchs, Steven W. Warmann, Clemens‐Magnus Meier, Jochen Hubertus, Christian Rübe, Christian Vokuhl, Patrick Melchior, Lena Tschirner, Norbert Graf, Rhoikos Furtwängler   +17 more
wiley   +1 more source

An Interpretable Artificial Intelligence Approach for Reliability and Regulation-Aware Decision Support in Power Systems

Computation
Modern medium-voltage (MV) distribution networks face increasing reliability challenges driven by aging assets, climate variability, and evolving operational demands.
Diego Armando Pérez-Rosero, Santiago Pineda-Quintero, Juan Carlos Álvarez-Barreto, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez   +4 more
doaj   +1 more source

A Based Bayesian Wavelet Thresholding Method to Enhance Nuclear Imaging

International Journal of Biomedical Imaging, 2009
Nuclear images are very often used to study the functionality of some organs. Unfortunately, these images have bad contrast, a weak resolution, and present fluctuations due to the radioactivity disintegration. To enhance their quality, physicians have to
Nawrès Khlifa, Najla Gribaa, Imen Mbazaa, Kamel Hamruoni   +3 more
doaj   +1 more source

Germline TP53 Mutations Causing Diamond–Blackfan Anemia: A French Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Diamond–Blackfan anemia is a rare congenital erythroblastopenia typically caused by mutations in ribosomal protein genes. Recently, gain‐of‐function mutations in TP53 have been identified as a novel cause of Diamond–Blackfan anemia. We report two French patients who both harbored a heterozygous TP53 deletion (NM_000546.5: c.1077delA; p ...
Rafael Moisan, Lydie Da Costa, Ludivine David Nguyen, Heloise Chosseler, Audrey Riquet, Benedicte Bruno, Melissa Barbati   +6 more
wiley   +1 more source