Pablo González

Assistant Professor, Universidad de Oviedo

Joined

January 2023

Names

Pablo González (Preferred)

Emails

****@uniovi.es (Confirmed)

Personal Links

Career & Education History

Assistant Professor

Universidad de Oviedo (uniovi.es)

2020 – Present

PhD student

Universidad de Oviedo (uniovi.es)

2016 – 2020

Undergrad student

Universidad de Oviedo (uniovi.es)

2003 – 2005

Advisors, Relations & Conflicts

Postdoc Advisor

Fabrizio Sebastiani

2022 – 2022

Expertise

quantification

prevalence estimation

2013 – Present

Publications

Report on the 1st International Workshop on Learning to Quantify (LQ 2021)
Juan José del Coz, Pablo González, Alejandro Moreo, Fabrizio Sebastiani
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- SIGKDD Explor. 2022
- Readers: Everyone
UniOviedo(Team1) at LeQua 2022: Sample-based quantification using deep learning
Pablo González
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CLEF (Working Notes) 2022
- Readers: Everyone
Learning to Quantify: Methods and Applications (LQ 2021)
Juan José del Coz, Pablo González, Alejandro Moreo, Fabrizio Sebastiani
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- CIKM 2021
- Readers: Everyone
Why is quantification an interesting learning problem?
Pablo González, Jorge Díez, Nitesh V. Chawla, Juan José del Coz
- Published: 01 Jan 2017, Last Modified: 12 May 2023
- Prog. Artif. Intell. 2017
- Readers: Everyone
A Review on Quantification Learning
Pablo González, Alberto Castaño, Nitesh V. Chawla, Juan José del Coz
- Published: 01 Jan 2017, Last Modified: 12 May 2023
- ACM Comput. Surv. 2017
- Readers: Everyone
Multiclass Support Vector Machines With Example-Dependent Costs Applied to Plankton Biomass Estimation
Pablo González, Eva Alvarez, José Barranquero, Jorge Díez, Rafael Gonzalez-Quiros, Enrique Nogueira, Angel Lopez-Urrutia, Juan José del Coz
- Published: 01 Jan 2013, Last Modified: 12 May 2023
- IEEE Trans. Neural Networks Learn. Syst. 2013
- Readers: Everyone
On the study of nearest neighbor algorithms for prevalence estimation in binary problems
José Barranquero, Pablo González, Jorge Díez, Juan José del Coz
- Published: 01 Jan 2013, Last Modified: 12 May 2023
- Pattern Recognit. 2013
- Readers: Everyone

Pablo González

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Report on the 1st International Workshop on Learning to Quantify (LQ 2021)

UniOviedo(Team1) at LeQua 2022: Sample-based quantification using deep learning

Learning to Quantify: Methods and Applications (LQ 2021)

Why is quantification an interesting learning problem?

A Review on Quantification Learning

Multiclass Support Vector Machines With Example-Dependent Costs Applied to Plankton Biomass Estimation

On the study of nearest neighbor algorithms for prevalence estimation in binary problems

Co-Authors