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Compressed Convex Spectral Embedding for Bird Species Classification., , , and . ICASSP, page 261-265. IEEE, (2018)Health Monitoring of Industrial machines using Scene-Aware Threshold Selection., , and . CoRR, (2021)Model-based unsupervised segmentation of birdcalls from field recordings., and . ICSPCS, page 1-6. IEEE, (2016)Deep Convex Representations: Feature Representations for Bioacoustics Classification., , , and . INTERSPEECH, page 2127-2131. ISCA, (2018)Merging human and automatic system decisions to improve speaker recognition performance., , , and . INTERSPEECH, page 2519-2523. ISCA, (2013)Bird Call Identification Using Dynamic Kernel Based Support Vector Machines and Deep Neural Networks., , , and . ICMLA, page 280-285. IEEE Computer Society, (2016)A Layer-wise Score Level Ensemble Framework for Acoustic Scene Classification., , , and . EUSIPCO, page 837-841. IEEE, (2018)Archetypal analysis based sparse convex sequence kernel for bird activity detection., , , , , and . EUSIPCO, page 1774-1778. IEEE, (2017)Convex likelihood alignments for bioacoustic Classification., , and . MLSP, page 1-6. IEEE, (2018)APE: Archetypal-Prototypal Embeddings for Audio Classification., , and . MLSP, page 1-6. IEEE, (2018)