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Our preprint "A Bird Song Detector for Improving Bird Identification through Deep Learning: A Case Study from Doñana" is now...

Our preprint "A Bird Song Detector for Improving Bird Identification through Deep Learning: A Case Study from Doñana" is now available! 🐦📢

🔗 http://arxiv.org/abs/2503.15576v1

This work is result of my JAE Intro fellowship, where I contributed to the #BIRDeep project in EBD.

Thanks to the entire team, and specially to Irene Mendoza for her invaluable support throughout this adventure

It’s been an incredible experience applying AI to bioacoustics and conservation. From fieldwork in Doñana to AI training

Hi! I’m Alba, a Computer Engineer from southern Spain, currently based in Cádiz, passionate about the intersection of AI and ecologyFrom...

Hi! I’m Alba, a Computer Engineer from southern Spain, currently based in Cádiz, passionate about the intersection of AI and ecology

From working on camera trap data analysis in Doñana National Park to improving bird vocalization identification, my journey has been about merging technology with environmental research. Currently, in a project where I develop AI models for classifying avian and underwater acoustic soundscapes

#AIforConservation #Ecology #DeepLearning #Introduction #Presentacion

We’re at #SEO26 in #Valencia, presenting our poster: From Prediction to PrecisionAt the intersection of ecology and AI, we highlight how...

We’re at #SEO26 in #Valencia, presenting our poster: From Prediction to Precision

At the intersection of ecology and AI, we highlight how widely used tools like BirdNET may not perform well for certain tasks due to biases

That’s why it’s crucial to first validate how a model works on your target data and species before drawing ecological conclusions—always considering potential errors

To support this validation process, we’ve developed an open-source application

#UCA #INMAR #AIforEcology

Hello World!

Hello World!