| Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET I Domingues, G Pereira, P Martins, H Duarte, J Santos, PH Abreu Artificial Intelligence Review 53, 4093-4160, 2020 | 170 | 2020 |
| Prediction of disease progression and outcomes in multiple sclerosis with machine learning MF Pinto, H Oliveira, S Batista, L Cruz, M Pinto, I Correia, P Martins, ... Scientific reports 10 (1), 21038, 2020 | 106 | 2020 |
| A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure prediction MF Pinto, A Leal, F Lopes, A Dourado, P Martins, CA Teixeira Scientific reports 11 (1), 3415, 2021 | 65 | 2021 |
| Image descriptors in radiology images: a systematic review MA Nogueira, PH Abreu, P Martins, P Machado, H Duarte, J Santos Artificial Intelligence Review 47, 531-559, 2017 | 31 | 2017 |
| Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm M Pinto, T Coelho, A Leal, F Lopes, A Dourado, P Martins, C Teixeira Scientific reports 12 (1), 4420, 2022 | 29 | 2022 |
| A pig, an angel and a cactus walk into a blender: A descriptive approach to visual blending JM Cunha, J Gonçalves, P Martins, P Machado, A Cardoso arXiv preprint arXiv:1706.09076, 2017 | 23 | 2017 |
| Computational creativity infrastructure for online software composition: A conceptual blending use case M Znidarsic, A Cardoso, P Gervás, P Martins, R Hervás, AO Alves, ... International Conference on Computational Creativity, 371-379, 2016 | 23 | 2016 |
| An artificial neural networks approach for assessment treatment response in oncological patients using PET/CT images MA Nogueira, PH Abreu, P Martins, P Machado, H Duarte, J Santos BMC medical imaging 17, 1-8, 2017 | 22 | 2017 |
| How Shell and Horn make a Unicorn: Experimenting with Visual Blending in Emoji. JM Cunha, P Martins, P Machado ICCC, 145-152, 2018 | 21 | 2018 |
| X-faces: The exploit is out there J Correia, T Martins, P Martins, P Machado Proceedings of the seventh international conference on computational creativity, 2016 | 21 | 2016 |
| Emojinating: Evolving Emoji Blends JM Cunha, N Lourenço, J Correia, P Martins, P Machado International Conference on Computational Intelligence in Music, Sound, Art …, 2019 | 19 | 2019 |
| Conceptual representations for computational concept creation P Xiao, H Toivonen, O Gross, A Cardoso, J Correia, P Machado, P Martins, ... ACM Computing Surveys (CSUR) 52 (1), 1-33, 2019 | 18 | 2019 |
| Emojinating: representing concepts using emoji JM Cunha, P Martins, P Machado Workshop Proceedings of the Twenty-Sixth International Conference on Case …, 2018 | 17 | 2018 |
| The Good, the Bad, and the AHA! Blends. P Martins, T Urbancic, S Pollak, N Lavrac, A Cardoso ICCC, 166-173, 2015 | 17 | 2015 |
| On the clinical acceptance of black‐box systems for EEG seizure prediction MF Pinto, A Leal, F Lopes, J Pais, A Dourado, F Sales, P Martins, ... Epilepsia Open 7 (2), 247-259, 2022 | 16 | 2022 |
| Blend City, BlendVille J Gonçalves, P Martins, A Cardoso Eighth International Conference on Computational Creativity, ICCC, Atlanta, 2017 | 16 | 2017 |
| Swarm systems in the visualization of consumption patterns C Maças, P Cruz, P Martins, P Machado Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 15 | 2015 |
| Breaking the mould an evolutionary quest for innovation through style change J Correia, P Machado, J Romero, P Martins, F Amílcar Cardoso Computational creativity: The philosophy and engineering of autonomously …, 2019 | 14 | 2019 |
| On the completeness of feature-driven maximally stable extremal regions P Martins, P Carvalho, C Gatta Pattern Recognition Letters, 2016 | 14 | 2016 |
| Optimality principles in computational approaches to conceptual blending: Do we need them (at) all P Martins, S Pollak, T Urbancic, A Cardoso Proceedings of the Seventh International Conference on Computational Creativity, 2016 | 13 | 2016 |
Penousal MachadoUniversity of CoimbraVerified email at dei.uc.pt