On the public citation graph
Applications of machine learning to identify and characterize the sounds produced by fish
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1 of the 159 references listed on this page is in the Retraction Watch database as retracted (export 2026-10-28): 10.1007/s00500-021-05934-8 (notice 2024-10-28).
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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/aqc.3242openalex-snapshotPassive monitoring of phenological acoustic patterns reveals the sound of the camouflage grouper, Epinephelus polyphekadion
inferredcites →https://doi.org/10.1002/rse2.297openalex-snapshotDeep learning algorithm outperforms experienced human observer at detection of blue whale D‐calls: a double‐observer analysis
inferredcites →https://doi.org/10.1038/s41598-017-17946-2openalex-snapshotComparing two remote video survey methods for spatial predictions of the distribution and environmental niche suitability of demersal fishes
inferredcites →https://doi.org/10.1071/mf03130openalex-snapshotA comparison of underwater visual distance estimates made by scuba divers and a stereo-video system: implications for underwater visual census of reef fish abundance
inferredcites →https://doi.org/10.1071/mf09068openalex-snapshotObservational methods used in marine spatial monitoring of fishes and associated habitats: a review
inferredcites →https://doi.org/10.1098/rsif.2018.0940openalex-snapshotAutomatic acoustic identification of individuals in multiple species: improving identification across recording conditions
inferredcites →https://doi.org/10.1111/1755-0998.12522openalex-snapshotEstimating fish abundance and biomass from eDNA concentrations: variability among capture methods and environmental conditions
inferredcites →https://doi.org/10.1121/1.407267openalex-snapshotThe sounds of bicolor damselfish (Pomacentrus partitus): Predictors of body size and a spectral basis for individual recognition and assessment
inferredcites →https://doi.org/10.1121/1.4936858openalex-snapshotCall recognition and individual identification of fish vocalizations based on automatic speech recognition: An example with the Lusitanian toadfish
inferredcites →https://doi.org/10.1121/1.5034169openalex-snapshotComparison of passive acoustic soniferous fish monitoring with supervised and unsupervised approaches
inferredcites →https://doi.org/10.1121/1.5067373openalex-snapshotAutomatic detection of fish sounds based on multi-stage classification including logistic regression via adaptive feature weighting
inferredcites →https://doi.org/10.1121/10.0002256openalex-snapshotAcoustic signal characterization based on hidden Markov models with applications to geoacoustic inversions
inferredcites →https://doi.org/10.1121/10.0010236openalex-snapshotGrouper source levels and aggregation dynamics inferred from passive acoustic localization at a multispecies spawning site
inferredcites →https://doi.org/10.1121/10.0017248openalex-snapshotBiodiversity assessment using passive acoustic recordings from off-reef location—Unsupervised learning to classify fish vocalization
inferredcites →https://doi.org/10.1242/jeb.203.17.2641openalex-snapshotAcoustic Identification of Twelve Species of Echolocating Bat By Discriminant Function Analysis and Artificial Neural Networks
inferredcites →https://doi.org/10.1643/ce-10-151openalex-snapshotSound Production and Reproductive Behavior of Yellowfin Grouper, Mycteroperca venenosa (Serranidae) at a Spawning Aggregation
inferredcites →https://doi.org/10.3354/meps08123openalex-snapshotManagement and research applications of real-time and archival passive acoustic sensors over varying temporal and spatial scales
inferredcites →https://doi.org/10.3390/app9051020openalex-snapshotLarge-Scale Whale-Call Classification by Transfer Learning on Multi-Scale Waveforms and Time-Frequency Features
inferredcites →https://doi.org/10.3390/rs11020185openalex-snapshotEvaluation of Sampling and Cross-Validation Tuning Strategies for Regional-Scale Machine Learning Classification
inferredcites →https://doi.org/10.3390/s22197443openalex-snapshotA Parallel Classification Model for Marine Mammal Sounds Based on Multi-Dimensional Feature Extraction and Data Augmentation
inferredcites →https://doi.org/10.7717/peerj.10761openalex-snapshotRapid coral reef assessment using 3D modelling and acoustics: acoustic indices correlate to fish abundance, diversity and environmental indicators in West Papua, Indonesia
What points at this work
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inferred← citeshttps://doi.org/10.1007/s10211-026-00494-2openalex-snapshotIntegrating video and acoustic non-invasive techniques to monitor coastal fish communities: A literature review with implications for MPA management
inferred← citeshttps://doi.org/10.1111/faf.12899openalex-snapshotMapping the Structure and Evolution of Fish Bio‐ and Ecoacoustics; From Single Species Studies to Biodiversity Monitoring
inferred← citeshttps://doi.org/10.1111/faf.70052openalex-snapshotTowards Trustworthy Artificial Intelligence for Marine Research, Fisheries and Environmental Management
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