33 citations · 47 across the 7 of their papers we have counts for
8 papers
FADE: Forecasting for Anomaly Detection on ECG
Paula Ruiz-Barroso, Francisco M. Castro, José Miranda +3
Cardiovascular diseases, a leading cause of noncommunicable disease-related deaths, require early and accurate detection to improve patient outcomes. Taking advantage of advances i…
iLGaCo: Incremental Learning of Gait Covariate Factors
Zihao Mu, Francisco M. Castro, Manuel J. Marin-Jimenez +3
Gait is a popular biometric pattern used for identifying people based on their way of walking. Traditionally, gait recognition approaches based on deep learning are trained using t…
Energy-based Tuning of Convolutional Neural Networks on Multi-GPUs
Francisco M. Castro, Nicolás Guil, Manuel J. Marín-Jiménez +2
Deep Learning (DL) applications are gaining momentum in the realm of Artificial Intelligence, particularly after GPUs have demonstrated remarkable skills for accelerating their cha…
End-to-End Incremental Learning
Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil +2
Although deep learning approaches have stood out in recent years due to their state-of-the-art results, they continue to suffer from catastrophic forgetting, a dramatic decrease in…
Improving tasks throughput on accelerators using OpenCL command concurrency
A. J. Lázaro-Muñoz, J. M. González-Linares, J. Gómez-Luna +1
A heterogeneous architecture composed by a host and an accelerator must frequently deal with situations where several independent tasks are available to be offloaded onto the accel…
Multimodal feature fusion for CNN-based gait recognition: an empirical comparison
Francisco Manuel Castro, Manuel Jesús Marín-Jiménez, Nicolás Guil +1
People identification in video based on the way they walk (i.e. gait) is a relevant task in computer vision using a non-invasive approach. Standard and current approaches typically…
Automatic learning of gait signatures for people identification
F. M. Castro, M. J. Marin-Jimenez, N. Guil +1
This work targets people identification in video based on the way they walk (i.e. gait). While classical methods typically derive gait signatures from sequences of binary silhouett…
Fisher Motion Descriptor for Multiview Gait Recognition
F. M. Castro, M. J. Marín-Jiménez, N. Guil +1
The goal of this paper is to identify individuals by analyzing their gait. Instead of using binary silhouettes as input data (as done in many previous works) we propose and evaluat…