Results 61 to 70 of about 313,816 (278)
Surrey-cvssp system for DCASE2017 challenge task4 [PDF]
In this technique report, we present a bunch of methods for the task 4 of Detection and Classification of Acoustic Scenes and Events 2017 (DCASE2017) challenge.
Kong, Qiuqiang +3 more
core +1 more source
Secost: Sequential co-supervision for large scale weakly labeled audio event detection
Weakly supervised learning algorithms are critical for scaling audio event detection to several hundreds of sound categories. Such learning models should not only disambiguate sound events efficiently with minimal class-specific annotation but also be ...
Ithapu, Vamsi Krishna, Kumar, Anurag
core +1 more source
Sex Differences in Medication Discontinuation in Axial Spondyloarthritis
Objective We examined sex differences in medication discontinuation among patients with axial spondyloarthritis (axSpA) initiating tumor necrosis factor inhibitors (TNFi), interleukin‐17 inhibitors (IL‐17i), or JAK inhibitors (JAKi). Methods Using data from the Rheumatology Informatics System for Effectiveness (RISE) Registry (2003–2025), we assessed ...
Rachael Stovall +9 more
wiley +1 more source
Objective The purpose was to evaluate a biomarker score consisting of MUC5B rs35705950 promoter variant, plasma matrix metalloproteinase‐7 (MMP‐7), and serum anti–malondialdehyde‐acetaldehyde (anti‐MAA) antibody for rheumatoid arthritis (RA)–associated interstitial lung disease (ILD) risk stratification.
Kelsey Coziahr +16 more
wiley +1 more source
Sound event detection and classification present significant challenges, particularly in noisy environments with multiple overlapping sources. This paper introduces an innovative architecture for multiple sound event detection and classification ...
Zahra Roozbehi +3 more
doaj +1 more source
DCASE 2018 Challenge Surrey Cross-Task convolutional neural network baseline [PDF]
The Detection and Classification of Acoustic Scenes and Events (DCASE) consists of five audio classification and sound event detection tasks: 1) Acoustic scene classification, 2) General-purpose audio tagging of Freesound, 3) Bird audio detection, 4 ...
Iqbal, Turab +4 more
core +1 more source
Polyphonic Sound Event Detection by using Capsule Neural Networks
Artificial sound event detection (SED) has the aim to mimic the human ability to perceive and understand what is happening in the surroundings. Nowadays, Deep Learning offers valuable techniques for this goal such as Convolutional Neural Networks (CNNs).
Gabrielli, Leonardo +3 more
core +1 more source
Objective Several case reports have proposed a potential association between COVID‐19 vaccination and the subsequent development of idiopathic inflammatory myositis (IIM). This study examined prior COVID‐19 vaccination in US veterans who developed new‐onset IIM compared to those without new‐onset IIM.
Caleb Hernández +10 more
wiley +1 more source
Polyphonic Sound Event and Sound Activity Detection: A Multi-Task Approach [PDF]
Accepted to WASPAA ...
Pankajakshan, Arjun +2 more
openaire +2 more sources
This work describes a methodology for sound event detection in domestic environments. Efficient solutions in this task can support the autonomous living of the elderly. The methodology deals with the “Challenge on Detection and Classification of Acoustic
Grigorios-Aris Cheimariotis +1 more
doaj +1 more source

