Holger Klinck

Orcid: 0000-0003-1078-7268

According to our database1, Holger Klinck authored at least 26 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024

2023
One size fits all? Adaptation of trained CNNs to new marine acoustic environments.
Ecol. Informatics, December, 2023

Feature embeddings from the BirdNET algorithm provide insights into avian ecology.
Ecol. Informatics, May, 2023

Classification of group-specific variations in songs within House Wren species using machine learning models.
Ecol. Informatics, May, 2023

Learning Stage-Wise GANs for Whistle Extraction in Time-Frequency Spectrograms.
IEEE Trans. Multim., 2023

BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics.
CoRR, 2023

Feature Embeddings from Large-Scale Acoustic Bird Classifiers Enable Few-Shot Transfer Learning.
CoRR, 2023


Overview of BirdCLEF 2023: Automated Bird Species Identification in Eastern Africa.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

2022
LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Advances in Information Retrieval, 2022

Overview of BirdCLEF 2022: Endangered bird species recognition in soundscape recordings.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

2021
BirdNET: A deep learning solution for avian diversity monitoring.
Ecol. Informatics, 2021

Seeing biodiversity: perspectives in machine learning for wildlife conservation.
CoRR, 2021

Parsing Birdsong with Deep Audio Embeddings.
CoRR, 2021

Overview of BirdCLEF 2021: Bird call identification in soundscape recordings.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2021

2020
Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
GIBBONR: An R package for the detection and classification of acoustic signals using machine learning.
CoRR, 2019

Long-distance Detection of Bioacoustic Events with Per-channel Energy Normalization.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2018
Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System.
CoRR, 2018

A Baseline for Large-Scale Bird Species Identification in Field Recordings.
Proceedings of the Working Notes of CLEF 2018, 2018

2017
Large-Scale Bird Sound Classification using Convolutional Neural Networks.
Proceedings of the Working Notes of CLEF 2017, 2017

2016
RAVEN X High Performance Data Mining Toolbox for Bioacoustic Data Analysis.
CoRR, 2016

2015
Data Mining Sound Archives: A New Scalable Algorithm for Parallel-Distributing Processing.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015


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