Alba Artificial sin Inteligenc

@PolskaCrow
45 Followers
62 Following
25 Posts

Chocobollo 🦑🏳️‍🌈

Ingeniera Informática 💻 e intento de investigadora aplicada a ecología? (UCA)

Actualmente en Cádiz

Muchas cosas pero ninguna materializada

ES 🇪🇸 / EN 🇬🇧 / FR 🇫🇷

PronounsShe / They
LocationPuerto Real, Cádiz
ALT Imagen de PerfilYo con la capucha del impermeable puesta.
ALT Imagen de CabeceraMis piernas levantadas sobre el Océano durante el atardecer.
Estoy preparando material docente para el curso que viene y estoy recordando las frikadas que me gustaban aprender mientras estudiaba, y voy a meter un montón de Easter eggs históricos jj

Also, I just came back from the SIBECOL & AEET meeting in Pontevedra

I had the opportunity to present some advances from SEANIMALMOVE, showing how we’re applying ecoacoustics to both avian monitoring in terrestrial environments and marine mammal monitoring underwater

I kept some of the latest results for the upcoming manuscripts 😉 but the presentation was strong enough to win Best Predoc Oral Communication

#Ecoacoustics #Ecology #ScienceCommunication #SIBECOL #AEET #AIforConservation #BirdNET

Que asco, de peque me encantaba el radical de naranja pero de repente desapareció. Ayer lo vi en una tienda y lo compré y ha sido decepcionante 😭

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

A Bird Song Detector for improving bird identification through Deep Learning: a case study from Doñana

Passive Acoustic Monitoring is a key tool for biodiversity conservation, but the large volumes of unsupervised audio it generates present major challenges for extracting meaningful information. Deep Learning offers promising solutions. BirdNET, a widely used bird identification model, has shown success in many study systems but is limited at local scale due to biases in its training data, which focus on specific locations and target sounds rather than entire soundscapes. A key challenge in bird species identification is that many recordings either lack target species or contain overlapping vocalizations, complicating automatic identification. To address these problems, we developed a multi-stage pipeline for automatic bird vocalization identification in Doñana National Park (SW Spain), a wetland of high conservation concern. We deployed AudioMoth recorders in three main habitats across nine locations and manually annotated 461 minutes of audio, resulting in 3749 labeled segments spanning 34 classes. We first applied a Bird Song Detector to isolate bird vocalizations using spectrogram-based image processing. Then, species were classified using custom models trained at the local scale. Applying the Bird Song Detector before classification improved species identification, as all models performed better when analyzing only the segments where birds were detected. Specifically, the combination of detector and fine-tuned BirdNET outperformed the baseline without detection. This approach demonstrates the effectiveness of integrating a Bird Song Detector with local classification models. These findings highlight the need to adapt general-purpose tools to specific ecological challenges. Automatically detecting bird species helps track the health of this threatened ecosystem, given birds sensitivity to environmental change, and supports conservation planning to reduce biodiversity loss.

arXiv.org

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 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

@FediTips Does somebody know about a federated scientific publishing+reviewing platform? Or any work related to this?

Please boost for reach.

He visto que existe el tag #presentacion.
Vamos a ello, va

Soy Misstake, uso el pronombre ella, soy valenciana de valencia (como las alcachofas y las naranjas xD), entre mís aficiones se encuentran #Patinar #BushidoGCT, #JuegosDeMesa #Wargames #Informatica, las escapadas a la #Montaña

Apoyo el #ComercioDeProximidad, la #EconomiaCircular y #TransRightsAreHumanRights (entre otras cosas)

#presentacion k tal peña no se me dan bien las presentaciones aquí un puñado de señas: graduado en Historia por la UGR (opositando a profe actualmente)-
-ávido lector de clásicos, como Tea Stilton
-siempre con ganas de apuntarme a acciones colectivas
-soy de la provincia de Cádiz (España)
-SALIR GUAPO ES DE FEOS
-EDUCACIÓN PUBLICA Y COMPENSATORIA FVCK HEGEMONÍA PEDAGOGICA

Sorry but OpenAI complaining another AI was trained on it is just absolutely hilarious.

Oh no, the AI that pirates the entire web had its homework copied.