[50] N. Ventura-Campos, A. Pérez-Suay, and C. Melchor-Borja. Pensamiento computacional y su relación con variables cognitivas en el ámbito universitario. In XXVI Simposio de la Sociedad Española de Investigación en Educación Matemática, 2023. [ bib ]
[49] N. Ventura-Campos, Moreno-Rus A., and A. Pérez-Suay. El papel del algebra temprana como posible indicador del error de inversiÓn. In XXVI Simposio de la Sociedad Española de Investigación en Educación Matemática, 2023. [ bib ]
[48] I. Garcia-Bayona, A. Pérez-Suay, S. Van Vaerenbergh, and A.B. Pascual-Venteo. Un estudio sobre el uso de esquemas y ayudas visuales en resoluciÓn de problemas matemÁticos monitorizado con seguimiento ocular. In XXVI Simposio de la Sociedad Española de Investigación en Educación Matemática, 2023. [ bib ]
[47] A. Pérez-Suay, M. Arevalillo-Herráez, D. Arnau, I García-Bayona, and J. A. González-Calero. Brecha de género en la resolución aritmética de problemas: Un estudio sobre la gestión del error. In XXVI Simposio de la Sociedad Española de Investigación en Educación Matemática, 2023. [ bib ]
[46] J. Adsuara, A. Pérez-Suay, and et al. Motivation and acceptation model para herramientas tecnológicas en el ámbito universitario. In IN-RED 2023: IX Congreso de Innovación Educativa y Docencia en Red, 2023. [ bib ]
[45] Miguel Morata, Bastian Siegmann, Adrián Pérez-Suay, Juan Pablo Rivera Caicedo, and Jochem Verrelst. Emulation of synthetic hyperspectral sentinel-2-like reflectance images using neural networks. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, July 17-22, 2022, pages 5401--5404. IEEE, 2022. [ bib | DOI | http ]
[44] Lara Ferrando, Aleix Alcacer, Atanasia Lloria, Marina Martínez-García, Belén Martínez-Serrano, Adrián Pérez-Suay, and Irene Epifanio. Analysis of the contributions to the sdgs of university students by degrees. In 2022 XII International Conference on Virtual Campus (JICV), pages 1--4, 2022. [ bib | DOI ]
[43] Adrián Pérez-Suay, Steven Van Vaerenbergh, Maria Piles, Valero Laparra, Ana B. Pascual-Venteo, Ana B. Ruescas, Roberto Fernandez-Moran, Marina Martínez-García, Jose E. Adsuara, Julia Amorós, Jordi Muñoz-Marí, Irene Epifanio, and Miguel-Ángel Fernández-Torres. Learning about student performance from moodle logs in a higher education context. In 2022 XII International Conference on Virtual Campus (JICV), pages 1--4, 2022. [ bib | DOI ]
[42] Valero Laparra, Maria Piles, Adrián Pérez-Suay, Jordi Muñoz-Marí, Julia Amorós, Roberto Fernandez-Moran, Miguel-Ángel Fernández-Torres, and Jose E. Adsuara. Assessing the impact of using short videos for teaching at university level. In 2022 XII International Conference on Virtual Campus (JICV), pages 1--4, 2022. [ bib | DOI ]
[41] JE. Adsuara, R. Fernández-Morán, L. Gómez-Chova, V. Laparra, AB. Ruescas Orient, M. Fernández-Torres, V Girbés-Juan, Amorós J., Muñoz-Marí J., and Pérez-Suay A. Herramientas y recursos de motivaci´on online para actividades en clase. In En In-Red 2022 - VIII Congreso Nacional de Innovación Educativa y Docencia en Red. Editorial Universitat Politècnica de València, pages 1055--1065, 2022. [ bib | DOI ]
[40] A. Ruescas, R. Fernandez-Morán, M. Moreno-Llácer, M. Fernández-Torres, J. Amorós-López, J. Adsuara, D. Esperante, V. Girbés-Juan, L. Gómez-Chova, J. Muñoz-Marí, A. Pérez-Suay, and V. Laparra. Fomento del razonamiento crítico mediante la evaluación cruzada: estudio de casos en asignaturas de ciencias. In En In-Red 2022 - VIII Congreso Nacional de Innovación Educativa y Docencia en Red. Editorial Universitat Politècnica de València, pages 314--326, 2022. [ bib | DOI ]
[39] M. Moreno Llácer, A. B. Ruescas, R. Fernandez-Moran, M.A. Fernández-Torres, J. E. Adsuara, A. Pérez-Suay, and M. Piles. Herramientas de aprendizaje activo para mejorar la metodologÍa docente y la evaluaciÓn en el Área de ciencias. In VIII JORNADA D'INNOVACIÓ EDUCATIVA, LA TRANSFERÈNCIA EN LA INNOVACIÓ EDUCATIVA: OPORTUNITAT PER A GENERAR APRENENTATGES I CONSOLIDAR EL CURRÍCULUM and, pages 62--65, 2022. [ bib ]
[38] Shari Van Wittenberghe, Ana Belen Pascual, Adrian Perez, Eatidal Amin, Carolina Tenjo, Neus Sabater, and Jose Moreno. Retrieval of apparent fluorescence quantum efficiency from flex-floris 500-780 nm. In Recent Advances in Quantitative Remote Sensing (RAQRS), 2022. [ bib ]
[37] Shari Van Wittenberghe, Ana Belen Pascual, Adrian Perez-Suay, Valero Laparra, Eatidal Amin, Carolina Tenjo, Luis Alonso, Neus Sabater, Jochem Verrelst, and Jose Moreno. Flex-floris retrieval of fluorescence quantum efficiency as a first step to quantify actual photosynthesis from space. In Living Planet Symposium (May 2022), 2022. [ bib ]
[36] J. García Soria, A. Pascual-Venteo, A. Perez, J. Estévez García, J. Rivera-Caicedo, K. Berger, and J. Verrelst. Comparing uncertainties provided by machine learning methods for the retrieval of vegetation variables: applications for sentinel-2. In ESA Living Planet Symposium, Bonn, Germany, 2022. [ bib ]
[35] S. Van Wittenberghe, A. Pascual-Venteo, A. Perez, V. Laparra, E. Amin, C. Tenjo, L. Alonso, N. Sabater, J. Verrelst, and J. Moreno. Flex retrieval of fluorescence quantum efficiency as the essential step to quantify actual photosynthesis from space. In ESA Living Planet Symposium, Bonn, Germany, 2022. [ bib ]
[34] A.B. Pascual-Venteo, E. Portales-Julià, A. Perez, and J. Verrelst. Large-scale machine learning techniques for vegetation traits estimation: opportunities for the chime mission. In ESA Living Planet Symposium, Bonn, Germany, 2022. [ bib ]
[33] M. Morata Dolz, A. Perez, B. Siegmann, J. Rivera-Caicedo, and J. Verrelst. Emulation of synthetic hyperspectral sentinel-2-like images using neural networks. In ESA Living Planet Symposium, Bonn, Germany, 2022. [ bib ]
[32] M. Morata, B. Siegmann, A. Pérez, J. P. Rivera Caicedo, and J. Verrelst. Emulation of hyperspectral imagery from sentinel 2 images using regression neural networks. In EARSeL Imaging Spectroscopy Workshop, 22-24 May, Potsdam, Germany, 2022. [ bib ]
[31] M. Morata, B.Siegmann, A.Pérez, J.L. García-Soria, J.P. Rivera-Caicedo, and J. Verrelst. Emulation of solar-induced fluorescence from spaceborne prisma imagery using neural networks. In SENSECO final conference, 26-28 September, Izmir, Türkiye, 2022. [ bib ]
[30] A.B. Pacual-Venteo, J. Estévez, K. Berger, J.L. García-Soria, E. Portalés-Julia, and J. Verrelst A. Pérez-Suay. Crop traits models for the upcoming chime mission: a validation study with prisma data. In SENSECO final conference, 26-28 September, Izmir, Türkiye, 2022. [ bib ]
[29] D. López-Puigdollers, A. Pérez-Suay, G. Mateo-García, and L. Gómez-Chova. Exploiting spatial and temporal information with convlstm networks for cloud detection over landmarks. In Living Planet Symposium, 23-27 May 2022, Bonn, Germany 2022, 2022. [ bib ]
[28] A. Mateo-Sanchis, J. Adsuara, A. Pérez-Suay, M. Piles, J. Muñoz-Marí, and G. Camps-Valls. Understanding neural networks for crop yield estimation. In Living Planet Symposium, 23-27 May 2022, Bonn, Germany 2022, 2022. [ bib ]
[27] J. Adsuara, G. Varando, A. Pérez-Suay, K. Cohrs, E. Díaz, D. Bueso, and G. Camps-Valls. Characterizing the earth complex dynamical system through spectral decomposition of kernel transfer operators. In Living Planet Symposium, 23-27 May 2022, Bonn, Germany 2022, 2022. [ bib ]
[26] A. Labrada-Berga, A. Pérez-Suay, S. Van Vaerenbergh, and A. B. Pascual-Venteo. La resoluciÓn de problemas mediante el pensamiento computacional: Estudio de gÉnero de una experiencia en el aula de infantil con robots educativos bee-bot. In XXV Simposio de la Sociedad Española de Investigación en Educación Matemática, 2022. [ bib ]
[25] Gustau Camps-Valls, Daniel H. Svendsen, Jordi Cortés-Andrés, Álvaro Moreno-Martínez, Adrián Pérez-Suay, José E. Adsuara, Irene Martín, Maria Piles, Jordi Muñoz-Marí, and Luca Martino. Physics-aware machine learning for geosciences and remote sensing. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, July 11-16, 2021, pages 2086--2089. IEEE, 2021. [ bib | DOI | http ]
[24] Adrián Pérez-Suay. From learning with fair regularizers to physics aware models. In New Bridges between Mathematics and Data Science, 2021. [ bib | http ]
[23] S. Van Vaerenbergh and A Pérez-Suay. Inteligencia artificial para la didáctica de las matemáticas: resumen y taxonomía. In XXIV Simposio de la Sociedad Española de Investigación en Educación Matemática, 2021. [ bib ]
[22] A. Varela-Uribe, S. Van Vaerenbergh, and A Pérez-Suay. Enseñanza individualizada de matemáticas mediante herramientas de inteligencia artificial en entornos escolares tradicionales. In XXIV Simposio de la Sociedad Española de Investigación en Educación Matemática, 2021. [ bib ]
[21] A. Varela-Uribe, S. Van Vaerenbergh, and A Pérez-Suay. Comparativa de sistemas tutores inteligentes para el aprendizaje de las matemáticas. In XXIV Simposio de la Sociedad Española de Investigación en Educación Matemática, volume Entornos Tecnológicos en Educación Matemática, 2021. [ bib ]
[20] Adrián Pérez-Suay, José E. Adsuara, María Piles, Laura Martínez-Ferrer, Emiliano Diaz, Álvaro Moreno-Martínez, and Gustau Camps-Valls. Interpretability of recurrent neural networks in remote sensing. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Waikoloa, HI, USA, September 26 - October 2, 2020, pages 3991--3994. IEEE, 2020. [ bib | DOI | http ]
[19] Álvaro Moreno-Martínez, Emma Izquierdo-Verdiguier, Gustau Camps-Valls, Marco Moneta, Jordi Muñoz-Marí, Nathaniel P. Robinson, José E. Adsuara, Manuel Campos, F. Javier García-Haro, Adrián Pérez-Suay, Nicholas Clinton, John S. Kimball, and Steven W. Running. Down-scaling modis vegetation products with landsat GAP filled surface reflectance in google earth engine. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Waikoloa, HI, USA, September 26 - October 2, 2020, pages 2320--2323. IEEE, 2020. [ bib | DOI | http ]
[18] José E. Adsuara, Adrián Pérez-Suay, Álvaro Moreno-Martínez, Gustau Camps-Valls, Guido Kraemer, Markus Reichstein, and Miguel D. Mahecha. Discovering differential equations from earth observation data. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Waikoloa, HI, USA, September 26 - October 2, 2020, pages 3999--4002. IEEE, 2020. [ bib | DOI | http ]
[17] Adrián Pérez-Suay. Opportunities of machine learning in mathematical education. In First Symposium on Artificial Intelligence for Mathematics Education, page 37, 2020. [ bib | DOI ]
[16] Adrián Pérez-Suay, Dionisio F. Yánez, and Francesc Aràndiga. Design of new multiresolution operators using machine learning techniques. In 9th International Congress on Industrial and Applied Mathematics, held in Universitat de València · Campus Blasco Ibáñez, Valencia (Spain), July 15th- 19th, 2019. [ bib | DOI | www: ]
[15] Gonzalo Mateo-Garcia, José E. Adsuara, Adrián Pérez-Suay, and Luis Gómez-Chova. Convolutional long short-term memory network for multitemporal cloud detection over landmarks. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, July 28 - August 2, 2019, pages 210--213. IEEE, 2019. [ bib | DOI | http ]
[14] Devis Tuia, Benjamin Kellenberger, Adrián Pérez-Suay, and Gustau Camps-Valls. A deep network approach to multitemporal cloud detection. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, July 22-27, 2018, pages 4351--4354. IEEE, 2018. [ bib | DOI | http ]
[13] Fatih Nar, Adrian Perez-Suay, José Antonio Padrón, and Gustau Camps-Valls. Randomized RX for target detection. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, July 22-27, 2018, pages 4237--4240. IEEE, 2018. [ bib | DOI | http ]
[12] José Antonio Padrón-Hidalgo, Adrian Perez-Suay, Fatih Nar, and Gustau Camps-Valls. Nonlinear cook distance for anomalous change detection. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, July 22-27, 2018, pages 5025--5028. IEEE, 2018. [ bib | DOI | http ]
[11] Emiliano Diaz, Adrian Perez-Suay, Valero Laparra, and Gustau Camps-Valls. Consistent regression of biophysical parameters with kernel methods. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, July 22-27, 2018, pages 4047--4050. IEEE, 2018. [ bib | DOI | http ]
[10] Adrián Pérez-Suay, Valero Laparra, Gonzalo Mateo-Garcia, Jordi Muñoz-Marí, Luis Gómez-Chova, and Gustau Camps-Valls. Fair kernel learning. In Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, and Saso Dzeroski, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part I, volume 10534 of Lecture Notes in Computer Science, pages 339--355. Springer, 2017. [ bib | DOI | http ]
[9] Adrian Perez-Suay and Gustau Camps-Valls. Causal inference in geosciences with kernel sensitivity maps. In 2017 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, Fort Worth, TX, USA, July 23-28, 2017, pages 763--766. IEEE, 2017. [ bib | DOI | http ]
[8] Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, and Gustau Camps-Valls. Efficient remote sensing image classification with gaussian processes and fourier features. In 2017 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, Fort Worth, TX, USA, July 23-28, 2017, pages 2227--2230. IEEE, 2017. [ bib | DOI | http ]
[7] Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls, and Aggelos K. Katsaggelos. Passive millimeter wave image classification with large scale gaussian processes. In 2017 IEEE International Conference on Image Processing, ICIP 2017, Beijing, China, September 17-20, 2017, pages 370--374. IEEE, 2017. [ bib | DOI | http ]
[6] Adrián Pérez-Suay, Francesc J. Ferri, Miguel Arevalillo-Herráez, and Jesús V. Albert. About combining metric learning and prototype generation. In Pasi Fränti, Gavin Brown, Marco Loog, Francisco Escolano, and Marcello Pelillo, editors, Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2014, Joensuu, Finland, August 20-22, 2014. Proceedings, volume 8621 of Lecture Notes in Computer Science, pages 323--332. Springer, 2014. [ bib | DOI | http ]
[5] Adrian Perez-Suay, Francesc J. Ferri, Miguel Arevalillo-Herráez, and Jesús V. Albert. Comparative evaluation of batch and online distance metric learning approaches based on margin maximization. In IEEE International Conference on Systems, Man, and Cybernetics, Manchester, SMC 2013, United Kingdom, October 13-16, 2013, pages 3511--3515. IEEE, 2013. [ bib | DOI | http ]
[4] Adrian Perez-Suay and Francesc J. Ferri. Online metric learning methods using soft margins and least squares formulations. In Georgy L. Gimel'farb, Edwin R. Hancock, Atsushi Imiya, Arjan Kuijper, Mineichi Kudo, Shinichiro Omachi, Terry Windeatt, and Keiji Yamada, editors, Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, SSPR&SPR 2012, Hiroshima, Japan, November 7-9, 2012. Proceedings, volume 7626 of Lecture Notes in Computer Science, pages 373--381. Springer, 2012. [ bib | DOI | http ]
[3] Adrian Perez-Suay, Francesc J. Ferri, and Jesús V. Albert. An online metric learning approach through margin maximization. In Jordi Vitrià, João Miguel Raposo Sanches, and Mario Hernández, editors, Pattern Recognition and Image Analysis - 5th Iberian Conference, IbPRIA 2011, Las Palmas de Gran Canaria, Spain, June 8-10, 2011. Proceedings, volume 6669 of Lecture Notes in Computer Science, pages 500--507. Springer, 2011. [ bib | DOI | http ]
[2] Adrian Perez-Suay, Francesc J. Ferri, and Jesús V. Albert. A random extension for discriminative dimensionality reduction and metric learning. In Helder Araújo, Ana Maria Mendonça, Armando J. Pinho, and M. Inés Torres, editors, Pattern Recognition and Image Analysis, 4th Iberian Conference, IbPRIA 2009, Póvoa de Varzim, Portugal, June 10-12, 2009, Proceedings, volume 5524 of Lecture Notes in Computer Science, pages 370--377. Springer, 2009. [ bib | DOI | http ]
[1] Adrian Perez-Suay and Francesc J. Ferri. Scaling up a metric learning algorithm for image recognition and representation. In George Bebis, Richard D. Boyle, Bahram Parvin, Darko Koracin, Paolo Remagnino, Fatih Murat Porikli, Jörg Peters, James T. Klosowski, Laura L. Arns, Yu Ka Chun, Theresa-Marie Rhyne, and Laura Monroe, editors, Advances in Visual Computing, 4th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008. Proceedings, Part II, volume 5359 of Lecture Notes in Computer Science, pages 592--601. Springer, 2008. [ bib | DOI | http ]

This file was generated by bibtex2html 1.99.