Research
Our lines of work share methods (neural networks, metaheuristics and interpretable models) and apply them to video, sensor data, text and scientific archives. They are part of the project Inteligencia de Datos. Técnicas y Modelos de Machine Learning (UNLP, 2023–2026).
Computer Vision and Sign Language
Deep learning for Argentinian Sign Language recognition and translation from video and poses, interpretability of vision models (including medical imaging), digitisation of historical astronomical plates and analysis of satellite imagery. We released the LSA16 and LSA64 datasets.
Intelligent Data Analysis and Big Data
Learning from data streams with concept drift, metaheuristics for feature selection, machine learning on large data volumes, time series forecasting with deep learning, and applications to health, education and finance.
TinyML and Edge AI
Efficient neural networks for microcontrollers and low-power devices: model compression, quantization and deployment, including our EmbedIA framework.
Text Mining and Language Models
Keyword extraction, summarization and topic modelling, and language-model-based assistants for university life.