These are the sources and citations used to research Bibliografia. This bibliography was generated on Cite This For Me on

  • Website

    Agranat, I.

    Wildlife Acoustics - Home

    2018

    In-text: (Agranat, 2018)

    Your Bibliography: Agranat, I. (2018). Wildlife Acoustics - Home. [online] Wildlifeacoustics.com. Available at: https://www.wildlifeacoustics.com/ [Accessed 2 Jan. 2018].

  • Website

    Collison, S.

    What is Anaconda?

    2018

    In-text: (Collison, 2018)

    Your Bibliography: Collison, S. (2018). What is Anaconda?. [online] Anaconda. Available at: https://www.anaconda.com/what-is-anaconda/ [Accessed 2 Jan. 2018].

  • Website

    MATLAB

    2018

    In-text: (En.wikipedia.org, 2018)

    Your Bibliography: En.wikipedia.org. (2018). MATLAB. [online] Available at: https://en.wikipedia.org/wiki/MATLAB [Accessed 2 Jan. 2018].

  • Website

    Python (programming language)

    2018

    In-text: (En.wikipedia.org, 2018)

    Your Bibliography: En.wikipedia.org. (2018). Python (programming language). [online] Available at: https://en.wikipedia.org/wiki/Python_(programming_language) [Accessed 2 Jan. 2018].

  • Website

    R (programming language)

    2018

    In-text: (En.wikipedia.org, 2018)

    Your Bibliography: En.wikipedia.org. (2018). R (programming language). [online] Available at: https://en.wikipedia.org/wiki/R_(programming_language) [Accessed 2 Jan. 2018].

  • Website

    Bird Sounds

    2018

    In-text: (Experiments.withgoogle.com, 2018)

    Your Bibliography: Experiments.withgoogle.com. (2018). Bird Sounds. [online] Available at: https://experiments.withgoogle.com/ai/bird-sounds/view/ [Accessed 2 Jan. 2018].

  • Website

    Fitzpatrick, J.

    Birds

    2018 - The Cornell Lab of Ornithology, Cornell University, USA

    In-text: (Fitzpatrick, 2018)

    Your Bibliography: Fitzpatrick, J. (2018). Birds. [online] Birds.cornell.edu. Available at: http://www.birds.cornell.edu/Page.aspx?pid=1478 [Accessed 2 Jan. 2018].

  • Website

    Goldbloom, A. and et alt.

    MLSP 2013 Bird Classification Challenge | Kaggle

    2018

    In-text: (Goldbloom and et alt., 2018)

    Your Bibliography: Goldbloom, A. and et alt. (2018). MLSP 2013 Bird Classification Challenge | Kaggle. [online] Kaggle.com. Available at: https://www.kaggle.com/c/mlsp-2013-birds [Accessed 2 Jan. 2018].

  • Website

    H. Guarín, A. E.

    xeno-canto :: Sharing bird sounds from around the world

    2018

    In-text: (H. Guarín, 2018)

    Your Bibliography: H. Guarín, A. (2018). xeno-canto :: Sharing bird sounds from around the world. [online] Xeno-canto.org. Available at: http://www.xeno-canto.org/ [Accessed 2 Jan. 2018].

  • Website

    Nicholson, D.

    Cite a Website - Cite This For Me

    2018 - PROC. OF THE 15th PYTHON IN SCIENCE CONF. (SCIPY 2016)

    In-text: (Nicholson, 2018)

    Your Bibliography: Nicholson, D. (2018). Cite a Website - Cite This For Me. [online] Conference.scipy.org. Available at: http://conference.scipy.org/proceedings/scipy2016/pdfs/david_nicholson.pdf [Accessed 2 Jan. 2018].

  • Website

    Pedregosa, F.

    Scikit-learn: Machine Learning in Python

    2018 - Journal of Machine Learning Research

    In-text: (Pedregosa, 2018)

    Your Bibliography: Pedregosa, F. (2018). Scikit-learn: Machine Learning in Python. [online] Jmlr.org. Available at: http://www.jmlr.org/papers/volume12/pedregosa11a/pedregosa11a.pdf [Accessed 2 Jan. 2018].

  • Website

    Qian, K., Zhang, Z., Ringeval, F. and Schuller, B.

    BIRD SOUNDS CLASSIFICATION BY LARGE SCALE ACOUSTIC FEATURES AND EXTREME LEARNING MACHINE

    2018 - Technische Universitat München, Germany; Imperial College London, UK; University of Passau, Germany.

    In-text: (Qian et al., 2018)

    Your Bibliography: Qian, K., Zhang, Z., Ringeval, F. and Schuller, B. (2018). BIRD SOUNDS CLASSIFICATION BY LARGE SCALE ACOUSTIC FEATURES AND EXTREME LEARNING MACHINE. [online] Fim.uni-passau.de. Available at: http://www.fim.uni-passau.de/fileadmin/files/lehrstuhl/schuller/Publications/Kun15-BSC_camera_.pdf [Accessed 2 Jan. 2018].

  • Website

    Salamon, J., Bello, J. P., Farnsworth, A. and Kelling, S.

    FUSING SHALLOW AND DEEP LEARNING FOR BIOACOUSTIC BIRD SPECIES CLASSIFICATION

    2018 - New York University, New York, NY, USA; Cornell University, Ithaca, NY, USA.

    In-text: (Salamon et al., 2018)

    Your Bibliography: Salamon, J., Bello, J., Farnsworth, A. and Kelling, S. (2018). FUSING SHALLOW AND DEEP LEARNING FOR BIOACOUSTIC BIRD SPECIES CLASSIFICATION. [online] justinsalamon.com. Available at: http://www.justinsalamon.com/uploads/4/3/9/4/4394963/salamon_fusinglearning_bioacoustics_icassp2017.pdf [Accessed 2 Jan. 2018].

  • Website

    Sanderson, M. and Clough, P.

    ImageCLEF - The CLEF Cross Language Image Retrieval Track | ImageCLEF / LifeCLEF - Multimedia Retrieval in CLEF

    2018 - University Politehnica of Bucharest, Romania; Universidad Politécnica de Valencia, Spain; University of Applied Sciences Western Switzerland in Sierre, Switzerland

    In-text: (Sanderson and Clough, 2018)

    Your Bibliography: Sanderson, M. and Clough, P. (2018). ImageCLEF - The CLEF Cross Language Image Retrieval Track | ImageCLEF / LifeCLEF - Multimedia Retrieval in CLEF. [online] Imageclef.org. Available at: http://www.imageclef.org/ [Accessed 2 Jan. 2018].

  • Website

    Sibley, D.

    Song Sleuth / Automatically Identify Bird Songs / Featuring the David Sibley Bird Reference

    2018 - Wildlife Accoustics

    In-text: (Sibley, 2018)

    Your Bibliography: Sibley, D. (2018). Song Sleuth / Automatically Identify Bird Songs / Featuring the David Sibley Bird Reference. [online] Songsleuth.com. Available at: https://www.songsleuth.com/#/ [Accessed 2 Jan. 2018].

  • Website

    Songs, B. and GbR, M.

    Bird Song Id USA Automatic Recognition Birds Songs on the App Store

    2018

    In-text: (Songs and GbR, 2018)

    Your Bibliography: Songs, B. and GbR, M. (2018). Bird Song Id USA Automatic Recognition Birds Songs on the App Store. [online] App Store. Available at: https://itunes.apple.com/us/app/bird-song-id-usa-automatic-recognition-birds-songs/id681091523?mt=8 [Accessed 2 Jan. 2018].

  • Website

    Sprengel, E., Jaggi, M., Kilcher, Y. and Hoffmann, T.

    Audio Based Bird Species Identification using Deep Learning Techniques

    2018 - EidgenössischeTechnische Hochschule (Eth), Zürich

    In-text: (Sprengel et al., 2018)

    Your Bibliography: Sprengel, E., Jaggi, M., Kilcher, Y. and Hoffmann, T. (2018). Audio Based Bird Species Identification using Deep Learning Techniques. [online] ceur-ws. Available at: http://ceur-ws.org/Vol-1609/16090547.pdf [Accessed 2 Jan. 2018].

  • Website

    Stowell, D.

    Bird Audio Detection challenge

    2018 - Quenn Mary University of London, London, UK.

    In-text: (Stowell, 2018)

    Your Bibliography: Stowell, D. (2018). Bird Audio Detection challenge. [online] Machine Listening Lab. Available at: http://machine-listening.eecs.qmul.ac.uk/bird-audio-detection-challenge/ [Accessed 2 Jan. 2018].

  • Website

    Stowell, D.

    Bird Audio Detection: baseline tests - and the problem of generalisation

    2018 - Queen Mary University of London

    In-text: (Stowell, 2018)

    Your Bibliography: Stowell, D. (2018). Bird Audio Detection: baseline tests - and the problem of generalisation. [online] Machine Listening Lab. Available at: http://machine-listening.eecs.qmul.ac.uk/2016/10/bird-audio-detection-baseline-generalisation/ [Accessed 2 Jan. 2018].

  • E-book or PDF

    Stowell, D., Morfi, V. and Gill, L. F.

    Individual identity in songbirds: signal representations and metric learning for locating the information in complex corvid calls

    2016 - Machine Listening Lab, Centre for Digital Music, Queen Mary University of London, UK and Max Planck Institute for Ornithology, Seewiesen, Germany

    In-text: (Stowell, Morfi and Gill, 2016)

    Your Bibliography: Stowell, D., Morfi, V. and Gill, L. (2016). Individual identity in songbirds: signal representations and metric learning for locating the information in complex corvid calls. 1st ed. [ebook] Machine Listening Lab, Centre for Digital Music, Queen Mary University of London, UK and Max Planck Institute for Ornithology, Seewiesen, Germany, pp.1-9. Available at: https://arxiv.org/pdf/1603.07236v2.pdf [Accessed 2 Jan. 2018].

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