Acoustic classification of multiple simultaneous bird species: A multi-instance multi-label approach

A review of multi-instance learning assumptions

(2010) James Foulds et al.   KNOWLEDGE ENGINEERING REVIEW

MIMLRBF: RBF neural networks for multi-instance multi-label learning

(2009) Min-Ling Zhang et al.   NEUROCOMPUTING

Detecting bird sounds in a complex acoustic environment and application to bioacoustic monitoring

(2009) R. Bardeli et al.   PATTERN RECOGNITION LETTERS

Signaller: receiver coordination and the timing of communication in Amazonian birds

(2008) D. A. Luther   Biology Letters

Automated sound recording and analysis techniques for bird surveys and conservation

(2008) T. Scott Brandes   BIRD CONSERVATION INTERNATIONAL

Feature Vector Selection and Use With Hidden Markov Models to Identify Frequency-Modulated Bioacoustic Signals Amidst Noise

(2008) T.S. Brandes   IEEE Transactions on Audio Speech and Language Processing

Automated species recognition of antbirds in a Mexican rainforest using hidden Markov models

(2008) Vlad M. Trifa et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA