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