| Interoperability in IoT through the semantic profiling of objects A Mazayev, JA Martins, N Correia Ieee Access 6, 19379-19385, 2017 | 47 | 2017 |
| A comprehensive approach for optimizing controller placement in software-defined networks G Schütz, JA Martins Computer Communications 159, 198-205, 2020 | 41 | 2020 |
| GACN: Self-clustering genetic algorithm for constrained networks JA Martins, A Mazayev, N Correia, G Schütz, A Barradas IEEE Communications Letters 21 (3), 628-631, 2016 | 25 | 2016 |
| Fátima revisited: an interactive installation R Alves, M Madeira, J Ferrer, S Costa, D Lopes, BM da Silva, L Sousa, ... Proceedings of SGEM 2014, 141-148, 2014 | 21 | 2014 |
| Luminance, colour, viewpoint and border enhanced disparity energy model JA Martins, JMF Rodrigues, H du Buf PloS one 10 (6), e0129908, 2015 | 20 | 2015 |
| Hypermedia APIS for the Web of Things JA Martins, A Mazayev, N Correia Ieee Access 5, 20058-20067, 2017 | 18 | 2017 |
| Low-cost natural interface based on head movements JMS Martins, JMF Rodrigues, JAC Martins Procedia Computer Science 67, 312-321, 2015 | 18 | 2015 |
| Expression-invariant face recognition using a biological disparity energy model JA Martins, RL Lam, JMF Rodrigues, JMH du Buf Neurocomputing 297, 82-93, 2018 | 13 | 2018 |
| Resource design in constrained networks for network lifetime increase N Correia, A Mazayev, G Schütz, J Martins, A Barradas IEEE Internet of Things Journal 4 (5), 1611-1623, 2017 | 13 | 2017 |
| Disparity energy model using a trained neuronal population JA Martins, JMF Rodrigues, JMH du Buf 2011 IEEE International Symposium on Signal Processing and Information …, 2011 | 13 | 2011 |
| SpectraNet–53: A deep residual learning architecture for predicting soluble solids content with VIS–NIR spectroscopy JA Martins, R Guerra, R Pires, MD Antunes, T Panagopoulos, A Brázio, ... Computers and Electronics in Agriculture 197, 106945, 2022 | 12 | 2022 |
| Biological models for active vision: Towards a unified architecture K Terzić, D Lobato, M Saleiro, J Martins, M Farrajota, JMF Rodrigues, ... Computer Vision Systems: 9th International Conference, ICVS 2013, St …, 2013 | 12 | 2013 |
| Estimation of soluble solids content and fruit temperature in'Rocha'pear using Vis-NIR spectroscopy and the SpectraNet–32 deep learning architecture JA Martins, D Rodrigues, AM Cavaco, MD Antunes, R Guerra Postharvest Biology and Technology 199, 112281, 2023 | 9 | 2023 |
| Tintas e Vernizes HT Yamanaka, FS Barbosa, NLA Bettol, RMM Tamdjian, J Fazenda, ... Governo do Estado de São Paulo, São Paulo, 2006 | 8 | 2006 |
| Semantic web thing architecture A Mazayev, JA Martins, N Correia 2017 4th Experiment@ International Conference (exp. at'17), 43-46, 2017 | 7 | 2017 |
| An energy-Aware resource design model for constrained networks N Correia, G Schütz, A Mazayev, J Martins, A Barradas IEEE Communications Letters 20 (8), 1631-1634, 2016 | 6 | 2016 |
| Cortical multiscale line-edge disparity model JMF Rodrigues, JA Martins, R Lam, JMH du Buf Image Analysis and Recognition: 9th International Conference, ICIAR 2012 …, 2012 | 6 | 2012 |
| Semantically enriched hypermedia apis for next generation iot A Mazayev, JA Martins, N Correia Interoperability, Safety and Security in IoT: Third International Conference …, 2018 | 3 | 2018 |
| Proto-object categorisation and local gist vision using low-level spatial features JA Martins, JMF Rodrigues, JMH du Buf BioSystems 135, 35-49, 2015 | 3 | 2015 |
| Improving accessibility through semantic crowdsourcing A Mazayev, JA Martins, N Correia Proceedings of the 7th International Conference on Software Development and …, 2016 | 2 | 2016 |
João RodriguesNOVA LINCS & ISE, University of the Algarve在 ualg.pt 的电子邮件经过验证
