3 papers
cs.LG2021
Concept drift detection and adaptation for federated and continual learning
Fernando E. Casado, Dylan Lema, Marcos F. Criado +3
Smart devices, such as smartphones, wearables, robots, and others, can collect vast amounts of data from their environment. This data is suitable for training machine learning mode…
cs.LG2020
Federated and continual learning for classification tasks in a society of devices
Fernando E. Casado, Dylan Lema, Roberto Iglesias +2
Today we live in a context in which devices are increasingly interconnected and sensorized and are almost ubiquitous. Deep learning has become in recent years a popular way to extr…
cs.AI2016
Fuzzy Sets Across the Natural Language Generation Pipeline
A. Ramos-Soto, A. Bugarín, S. Barro
We explore the implications of using fuzzy techniques (mainly those commonly used in the linguistic description/summarization of data discipline) from a natural language generation…