Tired but happy after 2 amazing weeks surveying for sperm whale social groups north of Menorca with @ATursiops (https://t.co/FD6r6de1mI) - many groups encountered and lots of calves, a good news story for an endangered population! Now to try and get the area protected...
Join our next #dclde2022 session, Deep Learning for Marine Mammal Detection & Classification, featuring Oliver Kirsebom, Marie Roch, @Peete_CC, @OceansE11en, & @_garrobe. 30 min discussion to follow. Tune in #live or through app. Talks available online by end of the day.
Laia Garrobé (@_garrobe) presents a multi-step deep learning framework to classify #acoustic files based on the presence/absence of sperm #whale vocalisations and how it compares to traditional #detection algorithms. #dclde2022
Laia Garrobé @_garrobe applied machine learning techniques to PAM data to estimate presence and behaviour of sperm whales around the Balearics using data from @ATursiops#MSc_MMS_St_A
@XavierMouy Hi Xavier! I just submitted it for grading, so unfortunatelly I don’t think it will be available for a while, but thank you for your interest!
Laia Garrobé Fonollosa @_garrobe from @univofstandrews introduces her masters project using a deep learning detector for sperm whale echolocation clicks to study seasonal variations in their distribution in the Balearic Sea #UKIRSC21
Having a common language is important for science but it can decrease diversity and exclude many non-speakers! Here's an infographic of the abstract of @Valeria_RamCas paper on how language barriers affects scientists. You can read it here: https://t.co/zAsdpeOnbg