MLonMB 2021 — Talks

Presentations for MLonMB 2021

  • Heather Welch (UCSC/NOAA) – Ecological nowcasts and forecasts for fisheries sustainability
  • Brian Schlining (MBARI) – FathomNet: An underwater image database enabling artificial intelligence in the ocean
  • Max Czapanskiy (Stanford) – Bio-loggers
  • Andy Moore (UCSC) – A Cautionary Tale
  • Monique Messié (MBARI) – Plankton taxonomy from Autonomous Underwater Vehicle (AUV) sensors
  • Jefferson Huang (NPS) – Maximally Informative Underwater Sensor Placement
  • Kat Giamalaki (UCSC) – Machine Learning of marine heatwaves in the northeast Pacific
  • Chris Edwards (UCSC) – Ocean data and models for the California Current System
  • BREAK
  • Colleen Durkin (MBARI) – Classification of marine snow particle images
  • J. Xavier Prochaska (UCSC) – Learning the Fundamental Patterns of Remote Sensing Imagery
  • Eric Orenstein (MBARI) – Autonomous decision making with the EyeRIS imaging system
  • Marko Orescanin (NPS) -Importance of Bayesian Deep Learning for Physical Sciences
  • Andrew Hein (NOAA) – Tracking- and image-based machine learning for studying ecological interactions
  • Krti Tallam (Stanford University) – Monitoring intertidal eelgrass abundance across a spatio-temporal gradient in the Morro Bay Estuary
  • Charlie Martin (UCSC) – Image classification of phytoplankton for HAB monitoring in MB and SFBay
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