Multiscale scattering for audio classification, In: ISMIR. pp, pp.657-662, 2011. ,
Overview of the nips4b bird classification, Proc. of Neural Information Processing Scaled for Bioacoustics: from Neurons to Big Data, joint to NIPS, pp.12-16, 2013. ,
Acoustic classification of multiple simultaneous bird species: A multi-instance multi-label approach, The Journal of the Acoustical Society of America, vol.131, issue.6, p.4640, 2012. ,
DOI : 10.1121/1.4707424
Sensor Network for the Monitoring of Ecosystem: Bird Species Recognition, 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information, pp.293-298, 2007. ,
DOI : 10.1109/ISSNIP.2007.4496859
Clusterized mel filter cepstral coefficients and support vector machines for bird song idenfication, Soundscape Semiotics -Localization and Categorization, 2014. ,
Automated species identification: why not? Philosophical Transactions of the, Royal Society of London. Series B: Biological Sciences, vol.359, pp.655-667, 1444. ,
Overview of the 1st int'l challenge on bird classification, Proc. of the first workshop on Machine Learning for Bioacoustics, joint to ICML, pp.17-21, 2013. ,
Shared nearest neighbors match kernel for bird songs identification -lifeclef 2015 challenge, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01182784
Interactive plant identification based on social image data, Ecological Informatics, vol.23, pp.22-34, 2014. ,
DOI : 10.1016/j.ecoinf.2013.07.006
URL : https://hal.archives-ouvertes.fr/hal-00908872
Improved automatic bird identification through decision tree based feature selection and bagging, Working notes of CLEF 2015 conference, 2015. ,
Contour matching for a fish recognition and migration-monitoring system, Two- and Three-Dimensional Vision Systems for Inspection, Control, and Metrology II, pp.37-48, 2004. ,
DOI : 10.1117/12.571789
Study of best algorithm combinations for speech processing tasks in machine learning using median vs. mean clusters in MARF, Proceedings of the 2008 C3S2E conference on , C3S2E '08, pp.29-43, 2008. ,
DOI : 10.1145/1370256.1370262
A marfclef approach to lifeclef 2015 tasks, Working notes of CLEF 2015 conference, 2015. ,
Birdclef 2015 submission: Unsupervised feature learning from audio, Working notes of CLEF 2015 conference, 2015. ,
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning. arXiv preprint arXiv:1405, p.6524, 2014. ,
A toolbox for animal call recognition, Bioacoustics, vol.123, issue.1, pp.107-125, 2012. ,
DOI : 10.1109/TASL.2006.872624
Automated species recognition of antbirds in a Mexican rainforest using hidden Markov models, The Journal of the Acoustical Society of America, vol.123, issue.4, p.2424, 2008. ,
DOI : 10.1121/1.2839017
Taxonomy: Impediment or Expedient?, Science, vol.303, issue.5656, 2004. ,
DOI : 10.1126/science.303.5656.285