| A review on quantification learning P González-González, A Castaño, NV Chawla, JJD Coz ACM Computing Surveys (CSUR) 50 (5), 74, 2017 | 140* | 2017 |
| On the study of nearest neighbor algorithms for prevalence estimation in binary problems J Barranquero, P González-González, J Díez, JJ Del Coz Pattern Recognition 46 (2), 472-482, 2013 | 65 | 2013 |
| Automatic plankton quantification using deep features P González, A Castaño, EE Peacock, J Díez, JJ Del Coz, HM Sosik Journal of Plankton Research 41 (4), 449-463, 2019 | 62 | 2019 |
| Validation methods for plankton image classification systems P González-González, E Álvarez, J Díez, Á López‐Urrutia, JJ del Coz Limnology and Oceanography: Methods 15 (3), 221-237, 2017 | 59 | 2017 |
| Why is quantification an interesting learning problem? P González-González, J Díez, N Chawla, JJ del Coz Progress in Artificial Intelligence 6 (1), 53-58, 2017 | 46 | 2017 |
| Multiclass support vector machines with example-dependent costs applied to plankton biomass estimation P González-González, E Álvarez, J Barranquero, J Díez, ... IEEE transactions on neural networks and learning systems 24 (11), 1901-1905, 2013 | 25 | 2013 |
| Learning to quantify: Methods and applications (LQ 2021) JJ del Coz, P González, A Moreo, F Sebastiani Proceedings of the 30th ACM International Conference on Information …, 2021 | 8 | 2021 |
| An equivalence analysis of binary quantification methods A Castaño, J Alonso, P González, JJ del Coz Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6944-6952, 2023 | 6 | 2023 |
| Matching distributions algorithms based on the Earth mover’s distance for ordinal quantification A Castaño, P González, JA González, JJ Del Coz IEEE Transactions on Neural Networks and Learning Systems, 2022 | 6 | 2022 |
| UniOviedo (Team1) at LeQua 2022: Sample-based quantification using deep learning. P González CLEF (Working Notes), 1881-1888, 2022 | 3 | 2022 |
| Predicción taxonómica de muestras de microplancton usando técnicas de Aprendizaje Automático P González-González, J Díez Peláez, JJ Coz Velasco V Simposio de Teorıa y Aplicaciones de Minerıa de Datos (TAMIDA 2010), 2010 | 3 | 2010 |
| Binary quantification and dataset shift: an experimental investigation P González, A Moreo, F Sebastiani Data Mining and Knowledge Discovery, 1-43, 2024 | 1 | 2024 |
| Impact of multi‐output and stacking methods on feed efficiency prediction from genotype using machine learning algorithms M Mora, P González, JR Quevedo, E Montañés, L Tusell, R Bergsma, ... Journal of Animal Breeding and Genetics 140 (6), 638-652, 2023 | 1 | 2023 |
| Histogram-based Deep Neural Network for Quantification. P González, JJ del Coz CIKM Workshops, 2021 | 1 | 2021 |
| QuantificationLib: A Python library for quantification and prevalence estimation A Castaño, J Alonso, P González, P Pérez, JJ del Coz SoftwareX 26, 101728, 2024 | | 2024 |
| Report on the 3rd International Workshop onLearning to Quantify (LQ 2023) M Bunse, P Gonzalez, A Moreo, F Sebastiani ACM SIGKDD Explorations Newsletter 25 (2), 25-28, 2024 | | 2024 |
| Quantification using Permutation-Invariant Networks based on Histograms O Pérez-Mon, A Moreo, JJ del Coz, P González arXiv preprint arXiv:2403.15123, 2024 | | 2024 |
| QuantificationLib: A Python library for quantification and prevalence estimation A Castaño Gutiérrez, J Alonso González, P González González, ... SoftwareX, 26, p. 101728 (2024); doi: 10.1016/j. softx. 2024.101728, 2024 | | 2024 |
| Kernel Density Estimation for Multiclass Quantification A Moreo, P González, JJ del Coz arXiv preprint arXiv:2401.00490, 2023 | | 2023 |
| Report on the 1st International Workshop on Learning to Quantify (LQ 2021) JJ del Coz, P González, A Moreo, F Sebastiani ACM SIGKDD Explorations Newsletter 24 (1), 49-51, 2022 | | 2022 |
Juan José del CozArtificial Intelligent Center - University of OviedoVerified email at uniovi.es
