| A collaborative working model for enhancing the learning process of science & engineering students H Mora, MT Signes-Pont, A Fuster-Guilló, ML Pertegal-Felices Computers in Human Behavior 103, 140-150, 2020 | 193 | 2020 |
| Evaluating impact on motivation and academic performance of a game-based learning experience using Kahoot A Fuster-Guilló, ML Pertegal-Felices, A Jimeno-Morenilla, J Azorín-López, ... Frontiers in Psychology 10, 2843, 2019 | 134 | 2019 |
| A comparative study of registration methods for RGB-D video of static scenes V Morell-Gimenez, M Saval-Calvo, J Azorin-Lopez, J Garcia-Rodriguez, ... Sensors 14 (5), 8547-8576, 2014 | 40 | 2014 |
| A quantitative comparison of calibration methods for RGB-D sensors using different technologies V Villena-Martínez, A Fuster-Guilló, J Azorín-López, M Saval-Calvo, ... Sensors 17 (2), 243, 2017 | 38 | 2017 |
| When deep learning meets data alignment: A review on deep registration networks (drns) V Villena-Martinez, S Oprea, M Saval-Calvo, J Azorin-Lopez, ... Appl. Sci. https://doi.org/10.3390/app10217524 10 (21), 2020 | 37 | 2020 |
| A novel prediction method for early recognition of global human behaviour in image sequences J Azorin-Lopez, M Saval-Calvo, A Fuster-Guillo, J Garcia-Rodriguez Neural Processing Letters 43, 363-387, 2016 | 34 | 2016 |
| Human behaviour recognition based on trajectory analysis using neural networks J Azorín-López, M Saval-Calvo, A Fuster-Guilló, J García-Rodríguez The 2013 International Joint Conference on Neural Networks (IJCNN), 1-7, 2013 | 33 | 2013 |
| The university as an open data ecosystem J Zubcoff, L Vaquer Gregori, JN Mazón, F Maciá Pérez, I Garrigós, ... WIT Press, 2016 | 31 | 2016 |
| A predictive model for recognizing human behaviour based on trajectory representation J Azorin-López, M Saval-Calvo, A Fuster-Guilló, A Oliver-Albert 2014 international joint conference on neural networks (IJCNN), 1494-1501, 2014 | 30 | 2014 |
| Practical method of improving the teamwork of engineering students using team contracts to minimize conflict situations ML Pertegal-Felices, A Fuster-Guilló, ML Rico-Soliveres, J Azorín-López, ... IEEE Access 7, 65083-65092, 2019 | 29 | 2019 |
| 3D non-rigid registration using color: color coherent point drift M Saval-Calvo, J Azorin-Lopez, A Fuster-Guillo, V Villena-Martinez, ... Computer Vision and Image Understanding 169, 119-135, 2018 | 27 | 2018 |
| Smart University F Maciá, J Berná, J Sánchez, I Lozano, A Fuster Hacia una universidad más abierta.(Alfaomega & Marcombo, Eds.)(Primera), 2017 | 24 | 2017 |
| Adjustable compression method for still JPEG images JM Pascual, HM Mora, AF Guilló, JA López Signal Processing: Image Communication 32, 16-32, 2015 | 24 | 2015 |
| Group activity description and recognition based on trajectory analysis and neural networks J Azorin-Lopez, M Saval-Calvo, A Fuster-Guillo, J Garcia-Rodriguez, ... 2016 international joint conference on neural networks (IJCNN), 1585-1592, 2016 | 23 | 2016 |
| Three-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC M Saval-Calvo, J Azorin-Lopez, A Fuster-Guillo, J Garcia-Rodriguez Applied soft computing 34, 572-586, 2015 | 23 | 2015 |
| RGB-D-based framework to acquire, visualize and measure the human body for dietetic treatments A Fuster-Guilló, J Azorin-Lopez, M Saval-Calvo, JM Castillo-Zaragoza, ... Sensors 20 (13), 3690, 2020 | 19 | 2020 |
| The DeepFish computer vision dataset for fish instance segmentation, classification, and size estimation N Garcia-d’Urso, A Galan-Cuenca, P Pérez-Sánchez, P Climent-Pérez, ... Scientific Data 9 (1), 287, 2022 | 18 | 2022 |
| μ-MAR: multiplane 3D marker based registration for depth-sensing cameras M Saval-Calvo, J Azorin-Lopez, A Fuster-Guillo, H Mora-Mora Expert Systems with Applications 42 (23), 9353-9365, 2015 | 18 | 2015 |
| Systematic mapping of open data studies: Classification and trends from a technological perspective R Enríquez-Reyes, S Cadena-Vela, A Fuster-Guilló, JN Mazón, LD Ibáñez, ... IEEE Access 9, 12968-12988, 2021 | 16 | 2021 |
| A non-invasive approach for total cholesterol level prediction using machine learning N Garcia-d’Urso, P Climent-Pérez, M Sánchez-Sansegundo, ... IEEE Access 10, 58566-58577, 2022 | 15 | 2022 |
Jorge Azorín-LópezFull Professor, University of AlicanteVerified email at dtic.ua.es
