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Pablo González
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2020 – today
- 2024
- [j12]Pablo González, Alejandro Moreo, Fabrizio Sebastiani:
Binary quantification and dataset shift: an experimental investigation. Data Min. Knowl. Discov. 38(4): 1670-1712 (2024) - [j11]Alberto Castaño, Jaime Alonso, Pablo González
, Pablo Pérez
, Juan José del Coz:
QuantificationLib: A Python library for quantification and prevalence estimation. SoftwareX 26: 101728 (2024) - [j10]Alberto Castaño
, Pablo González
, Jaime Alonso González
, Juan José del Coz
:
Matching Distributions Algorithms Based on the Earth Mover's Distance for Ordinal Quantification. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1050-1061 (2024) - [i4]Alejandro Moreo, Pablo González, Juan José del Coz:
Kernel Density Estimation for Multiclass Quantification. CoRR abs/2401.00490 (2024) - [i3]Olaya Pérez-Mon, Alejandro Moreo, Juan José del Coz, Pablo González:
Quantification using Permutation-Invariant Networks based on Histograms. CoRR abs/2403.15123 (2024) - 2023
- [j9]Mirko Bunse, Pablo González, Alejandro Moreo, Fabrizio Sebastiani:
Report on the 3rd International Workshop onLearning to Quantify (LQ 2023). SIGKDD Explor. 25(2): 25-28 (2023) - [c9]Alberto Castaño, Jaime Alonso
, Pablo González
, Juan José del Coz:
An Equivalence Analysis of Binary Quantification Methods. AAAI 2023: 6944-6952 - [i2]Ángel Martín, Pablo Losada, Carolina Fernández, Mikel Zorrilla, Zaloa Fernández, Álvaro Gabilondo, Juncal Uriol, Felipe Mogollon, Mikel Serón, Michalis Dalgitsis, Roberto Viola
, Luis Pérez Roca, Carlos Giraldo Rodriguez, Pablo González, Anxo Tato, Joaquín Escudero, Alvaro Vazquez, Daniel Camps-Mur, Andrés Cárdenas
, Carlos Herranz, Joan Josep Aleixendri, Rebeca Iglesias, Gianluca Cernigliaro, Mario Montagud, Pau Tomàs, Sergio Gimenez:
Open-VERSO: a vision of 5G experimentation infrastructures, hurdles and challenges. CoRR abs/2308.14532 (2023) - [i1]Pablo González
, Alejandro Moreo, Fabrizio Sebastiani:
Binary Quantification and Dataset Shift: An Experimental Investigation. CoRR abs/2310.04565 (2023) - 2022
- [j8]Juan José del Coz, Pablo González, Alejandro Moreo, Fabrizio Sebastiani:
Report on the 1st International Workshop on Learning to Quantify (LQ 2021). SIGKDD Explor. 24(1): 49-51 (2022) - [c8]Jorge Combo, Anxo Tato
, José Joaquín Escudero Garzás, Luis Pérez Roca, Pablo González:
Deep Learning based CP-OFDM Signal Classification with Data Augmentation. BlackSeaCom 2022: 352-357 - [c7]Pablo González:
UniOviedo(Team1) at LeQua 2022: Sample-based quantification using deep learning. CLEF (Working Notes) 2022: 1881-1888 - [c6]Martin Alcalde, Matias Ferreira, Pablo González, Federico Andrade, Gonzalo Tejera:
DA-SLAM: Deep Active SLAM based on Deep Reinforcement Learning. LARS/SBR/WRE 2022: 282-287 - 2021
- [c5]Juan José del Coz, Pablo González
, Alejandro Moreo, Fabrizio Sebastiani:
Learning to Quantify: Methods and Applications (LQ 2021). CIKM 2021: 4874-4875 - [c4]Pablo González, Juan José del Coz:
Histogram-based Deep Neural Network for Quantification. CIKM Workshops 2021
2010 – 2019
- 2017
- [j7]Sandra Morales
, Ángela Bernabeu
, Fernando López-Mir
, Pablo González, Luis Luna, Valery Naranjo
:
BRAIM: A computer-aided diagnosis system for neurodegenerative diseases and brain lesion monitoring from volumetric analyses. Comput. Methods Programs Biomed. 145: 167-179 (2017) - [j6]Pablo González
, Alberto Castaño
, Nitesh V. Chawla
, Juan José del Coz:
A Review on Quantification Learning. ACM Comput. Surv. 50(5): 74:1-74:40 (2017) - [j5]Pablo González
, Jorge Díez, Nitesh V. Chawla
, Juan José del Coz:
Why is quantification an interesting learning problem? Prog. Artif. Intell. 6(1): 53-58 (2017) - 2013
- [j4]José Barranquero
, Pablo González
, Jorge Díez, Juan José del Coz
:
On the study of nearest neighbor algorithms for prevalence estimation in binary problems. Pattern Recognit. 46(2): 472-482 (2013) - [j3]Pablo González
, Eva Alvarez
, José Barranquero
, Jorge Díez, Rafael Gonzalez-Quiros, Enrique Nogueira
, Angel Lopez-Urrutia
, Juan José del Coz
:
Multiclass Support Vector Machines With Example-Dependent Costs Applied to Plankton Biomass Estimation. IEEE Trans. Neural Networks Learn. Syst. 24(11): 1901-1905 (2013) - [c3]Fernando López-Mir, Pablo González, Valery Naranjo, Eugenia Pareja, Mariano Alcañiz Raya, Jaime Solaz:
Liver Segmentation on CT Images. A Fast Computational Method Based on 3D Morphology and a Statistical Filter. IWBBIO 2013: 483-490 - 2012
- [c2]Juan José Fuertes, Valery Naranjo, Pablo González, Ángela Bernabeu, Mariano Alcañiz Raya, Javier Sánchez:
Multivoxel MR Spectroscopy Tool for Brain Cancer Detection in Neuronavigation - Performance. BIODEVICES 2012: 167-172 - 2011
- [j2]Daniel Calvo, Pablo González, Luis Diaz, Hector Posadas, Pablo Sánchez, Eugenio Villar, Andrea Acquaviva, Enrico Macii:
A Multi-Processing Systems-on-Chip Native Simulation Framework for Power and Thermal-Aware Design. J. Low Power Electron. 7(1): 2-16 (2011) - [c1]Roberto Araya, Abelino Jiménez, Manuel Bahamondez, Pablo Dartnell, Jorge Soto Andrade
, Pablo González, Patricio Calfucura:
Strategies Used by Students on a Massively Multiplayer Online Mathematics Game. ICWL 2011: 1-10 - 2010
- [j1]Juan D. Velásquez, Pablo González
:
Expanding the Possibilities of Deliberation: The Use of Data Mining for Strengthening Democracy with an Application to Education Reform. Inf. Soc. 26(1): 1-16 (2010)
Coauthor Index
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last updated on 2024-08-07 21:34 CEST by the dblp team
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