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Month: January 2023

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  • 2023
  • January

MixMatch: A Holistic Approach to Semi-Supervised Learning

January 20, 2023February 3, 2023 daniel

Speaker: Diego de Benito Gorrón. Abstract: This talk is an overview of a NIPS 2019 paper by David Berthelot et al. (Google Research) that proposes a novel method for Semi-supervised learning: MixMatch. “Semi-supervised learning has proven to be a powerful… Read More

AUDIAS Seminars

Highly accurate protein structure prediction with AlphaFold

January 13, 2023January 16, 2023 daniel

Speaker: Juan Ignacio Álvarez Trejos. Abstract: Based on https://www.nature.com/articles/s41586-021-03819-2. Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort, the structures of around 100,000 unique proteins have been… Read More

AUDIAS Seminars

AUDIAS Seminars

Prediction of HIF Binding Sites

July 17, 2026

Speaker: Elias Boudjella. Abstract: This presentation describes a deep learning…

Rigorous Forensic Automatic Speaker Recognition: Bayesian Decision Theory, Probabilistic Calibration and Case-Specific Validation

July 10, 2026

Speaker: Daniel Ramos. Abstract: The use of automatic speaker recognition…

FiLM-Based Speaker Conditioning of a SpeechLLM for Pathological Speech Recognition

July 3, 2026

Speaker: William Fernando López Gavilanez. Abstract: Automatic speech recognition (ASR)…

Automatic Classification of Classical Music Composers from Audio Signals

July 2, 2026

Speaker: Sonia Aoi García Shida. Abstract: Automatic composer classification is…

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

Prediction of HIF Binding Sites

July 17, 2026

Rigorous Forensic Automatic Speaker Recognition: Bayesian Decision Theory, Probabilistic Calibration and Case-Specific Validation

July 10, 2026
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