Results 51 to 60 of about 663,658 (295)

A variational approach to quantum gated recurrent units

Journal of Physics Communications
Quantum Recurrent Neural Networks are receiving an increased attention thanks to their enhanced generalization capabilities in time series analysis. However, their performances were bottlenecked by long training times and unscalable architectures.
Andrea Ceschini, Antonello Rosato, Massimo Panella   +2 more
doaj   +1 more source

Long Short-Term Memory Neural Network Applied to Train Dynamic Model and Speed Prediction

Algorithms, 2019
The automatic train operation system is a significant component of the intelligent railway transportation. As a fundamental problem, the construction of the train dynamic model has been extensively researched using parametric approaches.
Zhen Li, Tao Tang, Chunhai Gao
doaj   +1 more source

DeepStory: Video Story QA by Deep Embedded Memory Networks [PDF]

, 2017
Question-answering (QA) on video contents is a significant challenge for achieving human-level intelligence as it involves both vision and language in real-world settings.
Choi, Seong-Ho, Heo, Min-Oh, Kim, Kyung-Min, Zhang, Byoung-Tak   +3 more
core   +1 more source

Lack of correlation between short- and long-term performance after lung cancer surgery [PDF]

The Journal of Thoracic and Cardiovascular Surgery, 2019
Outcomes for lung cancer surgery are currently measured according to perioperative morbidity and mortality. However, the oncologic efficacy of the surgery is reflected by long-term survival. We examined correlation between measures of short-term and long-term performance for lung cancer surgery.The Society of Thoracic Surgeons General Thoracic Surgery ...
Felix G, Fernandez, Andrzej S, Kosinski, Betty C, Tong, Anthony P, Furnary, Liqi, Feng, Mark, Onaitis, Daniel, Boffa, Cameron D, Wright, Patricia, Cowper, Jeffrey P, Jacobs, Robert H, Habib, Joe B, Putnam   +11 more
openaire   +2 more sources

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

Musical practice and cognitive aging: two cross-sectional studies point phonemic fluency as a potential candidate for a use-dependent adaptation

Frontiers in Aging Neuroscience, 2014
Because of permanent use-dependent cerebral plasticity, all lifelong individuals’ experiences are believed to influence the cognitive aging quality. In old individuals, both former and current musical practices have been associated with better verbal ...
Baptiste eFAUVEL, Mathilde eGroussard, Justine eMUTLU, Eider Martinez Arenaza-Urquijo, Francis eEUSTACHE, Béatrice eDesgranges, Hervé ePlatel   +6 more
doaj   +1 more source

A Systematic Review of Evidence on the Clinical Effectiveness of Surveillance Imaging in Children With Medulloblastoma and Ependymoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Surveillance imaging aims to detect tumour relapse before symptoms develop, but it's unclear whether earlier detection of relapse leads to better outcomes in children and young people (CYP) with medulloblastoma and ependymoma. This systematic review aims to identify relevant literature to determine the efficacy of surveillance magnetic ...
Lucy Shepherd, Melissa Taylor, Helen Fulbright, Bob Phillips   +3 more
wiley   +1 more source

Using Deep Neural Networks for Smoothing Pitch Profiles in Connected Speech

IJCoL, 2019
This paper presents a new pitch tracking smoother based on deep neural networks (DNN). It leverages Long Short-Term Memories, a particular kind of recurrent neural network, for correcting pitch detection errors produced by state-of-the-art Pitch ...
Michele Ferro, Fabio Tamburini
doaj   +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

Towards Automatic Speech Identification from Vocal Tract Shape Dynamics in Real-time MRI

, 2018
Vocal tract configurations play a vital role in generating distinguishable speech sounds, by modulating the airflow and creating different resonant cavities in speech production. They contain abundant information that can be utilized to better understand
Fels, Sidney, Saha, Pramit, Srungarapu, Praneeth   +2 more
core   +1 more source