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