Assistant Professor
Email: alcolea@unizar.es
Address: Campus Río Ebro, University of Zaragoza
C/María de Luna 1, Ada Byron Building,
50018, Zaragoza, Spain
ABOUT ME
I am an assistant professor in the Computer Architecture Group (gaZ) at the University of Zaragoza.
Before that, I graduated in Social Work from the University of Zaragoza, Spain (2010), I obtained my master degree in International Peace, Conflict and Development Studies from the University Jaume I of Castellón, Spain (2012), I graduated in Informatics Engineering from the University of Zaragoza, Spain (2017), and then I received my PhD in System Engineering and Computer Science at the University of Zaragoza, Spain ().
Current research
My main research topic is the search for efficient and reliable machine learning algorithms, which includes the analysis and improvement of models (especially Bayesian models) and the development of hardware support for them.
PUBLICATIONS
2021
Journal Articles
Alcolea, Adrián; Resano, Javier
FPGA Accelerator for Gradient Boosting Decision Trees Journal Article
In: Electronics, vol. 10, no. 3, pp. 314, 2021.
@article{alcolea2021fpga,
title = {FPGA Accelerator for Gradient Boosting Decision Trees},
author = {Adrián Alcolea and Javier Resano},
year = {2021},
date = {2021-01-01},
journal = {Electronics},
volume = {10},
number = {3},
pages = {314},
publisher = {Multidisciplinary Digital Publishing Institute},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2020
Journal Articles
Alcolea, Adrián; Paoletti, Mercedes E; Haut, Juan M; Resano, Javier; Plaza, Antonio
Inference in supervised spectral classifiers for on-board hyperspectral imaging: An overview Journal Article
In: Remote Sensing, vol. 12, no. 3, pp. 534, 2020.
@article{alcolea2020inference,
title = {Inference in supervised spectral classifiers for on-board hyperspectral imaging: An overview},
author = {Adrián Alcolea and Mercedes E Paoletti and Juan M Haut and Javier Resano and Antonio Plaza},
year = {2020},
date = {2020-01-01},
journal = {Remote Sensing},
volume = {12},
number = {3},
pages = {534},
publisher = {Multidisciplinary Digital Publishing Institute},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Haut, Juan M; Alcolea, Adrian; Paoletti, Mercedes E; Plaza, Javier; Resano, Javier; Plaza, Antonio
GPU-Friendly Neural Networks for Remote Sensing Scene Classification Journal Article
In: IEEE Geoscience and Remote Sensing Letters, 2020.
@article{haut2020gpu,
title = {GPU-Friendly Neural Networks for Remote Sensing Scene Classification},
author = {Juan M Haut and Adrian Alcolea and Mercedes E Paoletti and Javier Plaza and Javier Resano and Antonio Plaza},
year = {2020},
date = {2020-01-01},
journal = {IEEE Geoscience and Remote Sensing Letters},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Moreno, Adrián Alcolea; Olivito, Javier; Resano, Javier; Mecha, Hortensia
Analysis of a Pipelined Architecture for Sparse DNNs on Embedded Systems Journal Article
In: IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 28, no. 9, pp. 1993–2003, 2020.
@article{moreno2020analysis,
title = {Analysis of a Pipelined Architecture for Sparse DNNs on Embedded Systems},
author = {Adrián Alcolea Moreno and Javier Olivito and Javier Resano and Hortensia Mecha},
year = {2020},
date = {2020-01-01},
journal = {IEEE Transactions on Very Large Scale Integration (VLSI) Systems},
volume = {28},
number = {9},
pages = {1993--2003},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2018
Journal Articles
Moreno, Adrián Alcolea; Olivito, Javier; Resano, Javier
An Efficient Hardware Accelerator to Handle Compressed Filters and Avoid Useless Operations in CNNs Journal Article
In: Jornada de Jóvenes Investigadores del I3A, vol. 6, 2018.
@article{moreno2018efficient,
title = {An Efficient Hardware Accelerator to Handle Compressed Filters and Avoid Useless Operations in CNNs},
author = {Adrián Alcolea Moreno and Javier Olivito and Javier Resano},
year = {2018},
date = {2018-01-01},
journal = {Jornada de Jóvenes Investigadores del I3A},
volume = {6},
keywords = {},
pubstate = {published},
tppubtype = {article}
}