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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 2024-10-07 21:25 CEST by the dblp team
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