21-22 November 2019 – Detection and Classification in Marine Bioacoustics with Deep Learning, Victoria BC, Canada

  • Welcome and Workshop Overview – Oliver Kirsebom
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  • Deep Learning for underwater acoustics – Fabio Frazao
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  • Learning clicks from raw audio by Deep CNN: Univ. Toulon’s solution of DCLDE 2018 challenge – Hervé Glotin
  • Detecting calls of North Atlantic right whales using deep CNNs – Shyam Madhusudhana
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  • Detecting endangered baleen whales within acoustic recordings using R-CNNs – Mark Thomas
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  • A brief history of the use of machine learning in bioacoustics – Marie Roch
  • The Ketos Deep Learning Python Package – Oliver Kirsebom
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  • Detecting North Atlantic Right Whales in the Gulf of Saint Lawrence: Notes on Generalization – Fabio Frazao
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  • Methods to Overcome Data Scarcity – Bruno Padovese
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  • Detection & classification of SRKW calls – through human & machine learning, in real-time – Val Veirs and Scott Veirs
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  • OK Google: Where are the whales? – Ann Allen & Lauren Harrell

2019-07-07 – 2019-07-12 Effects of Noise on Aquatic Life – The Hague, The Netherlands

2019-05-06 – 2019-05-10 OceanPredict ’19 – Halifax, Nova Scotia

  • An Atlas of the Changing Soundscape in Canadian Oceans – Oliver Kirsebom
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  • Metadata and data management principles for underwater acoustic data – Kim Mortimer
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  • Discovering Canadian underwater acoustics datasets – Ryan Gosse
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  • Where did that come from? – Johna Latouf
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2019-04-29 Seminar at Ocean Networks Canada (ONC) – Victoria, BC

  • Marine Environmental Research Infrastructure for Data Integration and Application Network – Oliver Kirsebom
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  • Applications of Deep Learning to Sound Detection and Classification in Underwater Acoustics – Fabio Frazao
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2018-09-05 Workshop on analysis of acoustic landscapes – University of São Paulo

  • Deep learning applied to underwater acoustic data – Oliver Kirsebom
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2018-08-16 – 2018-08-17 MEOPAR – MERIDIAN Workshop Presentations – Halifax, Nova Scotia

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