9 citations · 25 across the 6 of their papers we have counts for
7 papers
Surrogate model of a HVAC system for PV self-consumption maximisation
B. da Costa Paulo, N. Aginako, J. Ugartemendia +3
In the last few years, energy efficiency has become a challenge. Not only mitigating environmental impact but reducing energy waste can lead to financial advantages. Buildings play…
Edge Dynamic Map architecture for C-ITS applications
Mikel García, Gorka Velez, Josu Pérez +3
Cooperative Intelligent Transport Systems (C-ITS) create, share and process massive amounts of data which needs to be real-time managed to enable new cooperative and autonomous dri…
Synthetic outlier generation for anomaly detection in autonomous driving
Martin Bikandi, Gorka Velez, Naiara Aginako +1
Anomaly detection, or outlier detection, is a crucial task in various domains to identify instances that significantly deviate from established patterns or the majority of data. In…
Rotational augmentation techniques: a new perspective on ensemble learning for image classification
Unai Muñoz-Aseguinolaza, Basilio Sierra, Naiara Aginako
The popularity of data augmentation techniques in machine learning has increased in recent years, as they enable the creation of new samples from existing datasets. Rotational augm…
MFR 2021: Masked Face Recognition Competition
Fadi Boutros, Naser Damer, Jan Niklas Kolf +32
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attra…
Boosting Masked Face Recognition with Multi-Task ArcFace
David Montero, Marcos Nieto, Peter Leskovsky +1
In this paper, we address the problem of face recognition with masks. Given the global health crisis caused by COVID-19, mouth and nose-covering masks have become an essential ever…
Efficient Large-Scale Face Clustering Using an Online Mixture of Gaussians
David Montero, Naiara Aginako, Basilio Sierra +1
In this work, we address the problem of large-scale online face clustering: given a continuous stream of unknown faces, create a database grouping the incoming faces by their ident…