Repositorio
Repositorio de algoritmos desarrollados en la Cátedra:
- Expert Systems - Optimizing resources with low-precision feature selection: A performance analysis of logarithmic division and stochastic rounding
AUTORES: Suárez-Marcote, S., Morán-Fernández, L., & Bolón-Canedo, V.
- Neurocomputing - Towards federated feature selection: logarithmic division for resource-conscious methods
AUTORES: Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
- ICMLA - Mutual Information-based feature selection for federated learning environments
AUTORES: Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
- Fast and Frugal Transfer Learning via Precomputed Features and Adaptive Precomputed Features and Adaptive Normalization
AUTORES: Daniel Vila de la Cruz, Verónica Bolón, Laura Morán
- SePar: Sequence Labeling algorithms for Parsing
AUTORES: Ana, Ezquerro, Carlos Gómez-Rodríguez, David Vilares
- Better Benchmarking LLMs for Zero-Shot Parsing
AUTORES: Ana Ezquerro, Carlos Gómez-Rodríguez, David Vilares
- LyS at SemEval 2024: Multimodal Cause Emotion Extraction in Multi-Party Conversations
AUTORES: Ana Ezquerro, David Vilares
- Escalabilidad y eficiencia en Inteligencia Artificial a través de algoritmos federados verdes (FEDHEONN_ENSEMBLE)
AUTORES: Óscar Fontenla Romero, Abel Pampín Rodríguez