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Day: April 14, 2023

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Breath cycle detection in respiratory audios

April 14, 2023April 17, 2023 daniel

Speaker: Miguel Ángel Martínez Pay. Abstract: Neural networks applied to the detection of acoustic events in respiratory audios. Introduction to the ICBHI 2017 database dedicated to the classification of respiratory cycles into “normal”, “with crackles”, “with wheezes”, “with both”. Main… Read More

AUDIAS Seminars

Alicia Lozano-Diez selected for a MSCA grant for an intership at MIT

April 14, 2023December 4, 2024 Adrián Aranda Márquez

Alicia Lozano-Diez will spend three months as a researcher at the Massachusetts Institute of Technology (MIT, Cambridge, MA, USA) within the GHAIA (Geometric and Harmonic Analysis with InterdisciplinaryApplications) project of the H2020-MSCA-RISE program of the European Commission. She will work… Read More

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AUDIAS Seminars

Fitting Protein Language Models (PLMs) for the prediction of protein functionality using zero-shot and few-shot techniques.

September 15, 2025

Speaker: Juan Antonio Gordillo Gayo. Abstract: The unprecedent success of…

Open science in the service of conservation: An accessible, user-friendly machine learning workflow for automated anuran monitoring in complex Neotropical soundscapes

September 10, 2025

Speaker: Gabriel Bidart Abstract: Amphibian populations worldwide are declining, particularly…

Introduction to Protein Language Models: biological concepts and computational tools

July 9, 2025

Speaker: Juan Antonio Gordillo Gayo. Abstract: Proteins are the main…

Optimization of a Deep Learning Model for DNA Analysis under Hypoxemic Conditions

July 2, 2025

Speaker: Paloma Villanueva Fuster. Abstract: This study focuses on predicting…

About AUDIAS

AUDIAS is a solid research group addressing challenging problems in speech, audio and temporal signals from deep foundations in machine learning and signal processing.

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Highlights

Fitting Protein Language Models (PLMs) for the prediction of protein functionality using zero-shot and few-shot techniques.

September 15, 2025

Open science in the service of conservation: An accessible, user-friendly machine learning workflow for automated anuran monitoring in complex Neotropical soundscapes

September 10, 2025
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