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Event Detection

Papers

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Showing 451–475 of 940 papers

TitleStatusHype
NeSe: Near-Sensor Event-Driven Scheme for Low Power Energy Harvesting Sensors—0
Neural Cross-Lingual Event Detection with Minimal Parallel Resources—0
Nonverbal Sound Detection for Disordered Speech—0
Novel Event Detection and Classification for Historical Texts—0
NowYouSee Me: Context-Aware Automatic Audio Description—0
Numerical analysis of a multistable capsule system under the delayed feedback control with a constant delay—0
Objective evaluation metrics for automatic classification of EEG events—0
OKSP: A Novel Deep Learning Automatic Event Detection Pipeline for Seismic Monitoringin Costa Rica—0
One-class Autoencoder Approach for Optimal Electrode Set-up Identification in Wearable EEG Event Monitoring—0
On Event Detection in Scientific Papers: A Multi-Domain Dataset—0
Online Active Learning For Sound Event Detection—0
Spectral CUSUM for Online Network Structure Change Detection—0
Online Demodulation and Trigger for Flux-ramp Modulated SQUID Signals—0
Online Pedestrian Group Walking Event Detection Using Spectral Analysis of Motion Similarity Graph—0
On Multitask Loss Function for Audio Event Detection and Localization—0
OPML: A One-Pass Closed-Form Solution for Online Metric Learning—0
Optical Fiber Fault Detection and Localization in a Noisy OTDR Trace Based on Denoising Convolutional Autoencoder and Bidirectional Long Short-Term Memory—0
Optimizing Static and Adaptive Probing Schedules for Rapid Event Detection—0
Optimizing Temporal Resolution Of Convolutional Recurrent Neural Networks For Sound Event Detection—0
Parallel Chromatic MCMC with Spatial Partitioning—0
PAT: Position-Aware Transformer for Dense Multi-Label Action Detection—0
Pattern Recognition and Event Detection on IoT Data-streams—0
Peer Collaborative Learning for Polyphonic Sound Event Detection—0
Performance-Guaranteed Solutions for Multi-Agent Optimal Coverage Problems using Submodularity, Curvature, and Greedy Algorithms—0
PETNet -- Coincident Particle Event Detection using Spiking Neural Networks—0
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