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Rapid classification of local seismic events using machine learning
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/2016gl070742openalex-snapshot
Magnitude‐based discrimination of man‐made seismic events from naturally occurring earthquakes in Utah, USA
inferredcites →https://doi.org/10.1002/bimj.200410135openalex-snapshot
Estimation of the Youden Index and its Associated Cutoff Point
inferredcites →https://doi.org/10.1002/cjg2.636openalex-snapshot
Application of Method of Spectral Component Ratio of Wavelet-Packets to Discrimination between Earthquakes and Nuclear Explosions
inferredcites →https://doi.org/10.1007/978-1-4899-7687-1openalex-snapshot
Encyclopedia of Machine Learning and Data Mining
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_38openalex-snapshot
Identity Mappings in Deep Residual Networks
inferredcites →https://doi.org/10.1007/s00024-020-02452-wopenalex-snapshot
Array Based Earthquakes-Explosion Discrimination Using Diffusion Maps
inferredcites →https://doi.org/10.1007/s10518-013-9482-zopenalex-snapshot
Fourier spectral- and duration models for the generation of response spectra adjustable to different source-, propagation-, and site conditions
inferredcites →https://doi.org/10.1007/s10950-014-9444-1openalex-snapshot
Recent developments of the Middle East catalog
inferredcites →https://doi.org/10.1007/s10950-018-9810-5openalex-snapshot
Automatic discrimination of earthquakes and quarry blasts using wavelet filter bank and support vector machine
inferredcites →https://doi.org/10.1007/s11770-014-0450-4openalex-snapshot
Discriminating between explosions and earthquakes
inferredcites →https://doi.org/10.1007/s11771-020-4530-8openalex-snapshot
Discrimination of mining microseismic events and blasts using convolutional neural networks and original waveform
inferredcites →https://doi.org/10.1016/j.cageo.2010.09.005openalex-snapshot
Discrimination of quarry blasts and earthquakes in the vicinity of Istanbul using soft computing techniques
inferredcites →https://doi.org/10.1016/j.cageo.2021.104980openalex-snapshot
DeepQuake — An application of CNN for seismo-acoustic event classification in The Netherlands
inferredcites →https://doi.org/10.1016/j.soildyn.2017.05.008openalex-snapshot
Improving microseismic event and quarry blast classification using Artificial Neural Networks based on Principal Component Analysis
inferredcites →https://doi.org/10.1029/2018jb016661openalex-snapshot
Reliable Real‐Time Seismic Signal/Noise Discrimination With Machine Learning
inferredcites →https://doi.org/10.1029/2019jb018132openalex-snapshot
Support Vector Machine Classification of Seismic Events in the Tianshan Orogenic Belt
inferredcites →https://doi.org/10.1029/2020gl087579openalex-snapshot
Detecting Slow Slip Events From Seafloor Pressure Data Using Machine Learning
inferredcites →https://doi.org/10.1029/2020gl088353openalex-snapshot
Identifying Different Classes of Seismic Noise Signals Using Unsupervised Learning
inferredcites →https://doi.org/10.1029/2021jb022820openalex-snapshot
Event‐Based Training in Label‐Limited Regimes
inferredcites →https://doi.org/10.1038/s41467-020-17841-xopenalex-snapshot
Clustering earthquake signals and background noises in continuous seismic data with unsupervised deep learning
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2015.7299173openalex-snapshot
Convolutional neural networks at constrained time cost
inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot
Densely Connected Convolutional Networks
inferredcites →https://doi.org/10.1109/mis.2009.36openalex-snapshot
The Unreasonable Effectiveness of Data
inferredcites →https://doi.org/10.1136/bmj.38793.637789.2fopenalex-snapshot
Sample sizes of studies on diagnostic accuracy: literature survey
inferredcites →https://doi.org/10.1198/10618600152418584openalex-snapshot
The Art of Data Augmentation
inferredcites →https://doi.org/10.1609/aaai.v31i1.11231openalex-snapshot
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
inferredcites →https://doi.org/10.1785/0120030075openalex-snapshot
Automatic Classification of Seismic Signals at Mt. Vesuvius Volcano, Italy, Using Neural Networks
inferredcites →https://doi.org/10.1785/0220180320openalex-snapshot
A Deep Convolutional Neural Network for Localization of Clustered Earthquakes Based on Multistation Full Waveforms
inferredcites →https://doi.org/10.1785/bssa0870061613openalex-snapshot
A comparison of regional-phase amplitude ratio measurement techniques
inferredcites →https://doi.org/10.3133/ofr93322openalex-snapshot
Observations and modeling of seismic background noise
inferredcites →https://doi.org/10.48550/arxiv.1306.3574openalex-snapshot
Early stopping and non-parametric regression: An optimal data-dependent stopping rule
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-snapshot
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
inferredcites →https://doi.org/10.48550/arxiv.1712.07628openalex-snapshot
Improving Generalization Performance by Switching from Adam to SGD
inferredcites →https://doi.org/10.48550/arxiv.1805.07836openalex-snapshot
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
inferredcites →https://doi.org/10.5194/nhess-11-93-2011openalex-snapshot
An unsupervised learning algorithm: application to the discrimination of seismic events and quarry blasts in the vicinity of Istanbul
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4608110openalex-extracted
Machine Learning Insights for Safer Subsurface Fluid Injection: Predictive Analysis of Injection Induced Seismic Precursor Environments
inferred← citeshttps://doi.org/10.1007/s10462-025-11157-2openalex-snapshot
Application of artificial intelligence technology in the study of anthropogenic earthquakes: a review
inferred← citeshttps://doi.org/10.1007/s42990-026-00291-wopenalex-snapshot
Application of artificial intelligence in seismology: a bibliometric analysis
inferred← citeshttps://doi.org/10.1007/s44288-026-00427-3openalex-snapshot
Designing a model for earthquake timing and magnitude prediction based on neural networks and particle swarm optimization (PSO) algorithm
inferred← citeshttps://doi.org/10.1016/b978-0-443-45517-9.00022-2openalex-snapshot
Seismic hazards and infrastructure resilience: Challenges and strategies
inferred← citeshttps://doi.org/10.1016/j.asej.2024.102925openalex-snapshot
Enhancing earthquakes and quarry blasts discrimination using machine learning based on three seismic parameters
inferred← citeshttps://doi.org/10.1016/j.geoen.2026.214435openalex-snapshot
Addressing the complexities of predicting induced seismicity: A simplified hybrid approach to understanding the geomechanics of CO2 injection in faulted reservoirs
inferred← citeshttps://doi.org/10.1016/j.ige.2024.11.002openalex-snapshot
Deep transfer learning for microseismic waveforms recognition across geological conditions in TBM tunnels
inferred← citeshttps://doi.org/10.1016/j.soildyn.2026.110601openalex-snapshot
Near-fault ground motion identification using soft-label fusion and multi-scale convolutional neural networks
inferred← citeshttps://doi.org/10.1038/s41598-024-81113-7openalex-snapshot
Enhancing the classification of seismic events with supervised machine learning and feature importance
inferred← citeshttps://doi.org/10.1080/19475705.2023.2284653openalex-snapshot
Feature extraction and discrimination of blasting and natural earthquake waves
inferred← citeshttps://doi.org/10.1093/gji/ggae316openalex-snapshot
Classifying small earthquakes, explosions and collapses in the western United States using physics-based features and machine learning
inferred← citeshttps://doi.org/10.1093/gji/ggaf292openalex-snapshot
Earthquake catalog in northeastern Tibetan plateau from the large aperture ChinArray-II through deep learning approach
inferred← citeshttps://doi.org/10.1109/access.2024.3401009openalex-snapshot
A Ghost-Attention Network for Discriminating Tectonic and Non-Tectonic Events on a Small and Imbalanced Dataset
inferred← citeshttps://doi.org/10.1109/access.2025.3552127openalex-snapshot
Using Deep Convolutional Neural Networks for Earthquake and Explosion Classification
inferred← citeshttps://doi.org/10.1186/s40623-024-01982-0openalex-snapshot
Recent advances in earthquake seismology using machine learning
inferred← citeshttps://doi.org/10.1785/0220240301openalex-snapshot
A Semisupervised Seismic Events Classifier Based on Generative Adversarial Network
inferred← citeshttps://doi.org/10.1785/0220250409openalex-snapshot
Dual-Branch Adaptive Joint Decision-Making: Intelligent Identification of Seismic Events Supported by Single-Component Waveform Data from Multiple Global Regions
inferred← citeshttps://doi.org/10.30533/gia-2026-008openalex-snapshot
Geoinformation System for Assessing Natural and Technogenic Seismicity of Mineral Deposits
inferred← citeshttps://doi.org/10.3390/app132312739openalex-snapshot
Microseismic Monitoring Signal Waveform Recognition and Classification: Review of Contemporary Techniques
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