| TSFEL: Time series feature extraction library M Barandas, D Folgado, L Fernandes, S Santos, M Abreu, P Bota, H Liu, ... SoftwareX 11, 100456, 2020 | 404 | 2020 |
| Time alignment measurement for time series D Folgado, M Barandas, R Matias, R Martins, M Carvalho, H Gamboa Pattern Recognition 81, 268-279, 2018 | 97 | 2018 |
| Interpretable heartbeat classification using local model-agnostic explanations on ECGs I Neves, D Folgado, S Santos, M Barandas, A Campagner, L Ronzio, ... Computers in Biology and Medicine 133, 104393, 2021 | 68 | 2021 |
| A motion tracking solution for indoor localization using smartphones V Guimarães, L Castro, S Carneiro, M Monteiro, T Rocha, M Barandas, ... 2016 International Conference on Indoor Positioning and Indoor Navigation …, 2016 | 41 | 2016 |
| A framework for infrastructure-free indoor localization based on pervasive sound analysis R Leonardo, M Barandas, H Gamboa IEEE Sensors Journal 18 (10), 4136-4144, 2018 | 35 | 2018 |
| Increased cytoplasm viscosity hampers aggregate polar segregation in Escherichia coli SMD Oliveira, R Neeli‐Venkata, NSM Goncalves, JA Santinha, L Martins, ... Molecular Microbiology 99 (4), 686-699, 2016 | 34 | 2016 |
| Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis F Cabitza, A Campagner, L Ronzio, M Cameli, GE Mandoli, MC Pastore, ... Artificial Intelligence in Medicine 138, 102506, 2023 | 30 | 2023 |
| Tssearch: Time series subsequence search library D Folgado, M Barandas, M Antunes, ML Nunes, H Liu, Y Hartmann, ... SoftwareX 18, 101049, 2022 | 27 | 2022 |
| Uncertainty-based rejection in machine learning: Implications for model development and interpretability M Barandas, D Folgado, R Santos, R Simão, H Gamboa Electronics 11 (3), 396, 2022 | 25 | 2022 |
| A real time biofeedback system using visual user interface for physical rehabilitation M Barandas, H Gamboa, JM Fonseca Procedia Manufacturing 3, 823-828, 2015 | 22 | 2015 |
| Human activity recognition for indoor localization using smartphone inertial sensors D Moreira, M Barandas, T Rocha, P Alves, R Santos, R Leonardo, ... Sensors 21 (18), 6316, 2021 | 20 | 2021 |
| Comparing handcrafted features and deep neural representations for domain generalization in human activity recognition N Bento, J Rebelo, M Barandas, AV Carreiro, A Campagner, F Cabitza, ... Sensors 22 (19), 7324, 2022 | 19 | 2022 |
| Fingerprints and floor plans construction for indoor localisation based on crowdsourcing R Santos, M Barandas, R Leonardo, H Gamboa Sensors 19 (4), 919, 2019 | 17 | 2019 |
| Crowdsourcing-based fingerprinting for indoor location in multi-storey buildings R Santos, R Leonardo, M Barandas, D Moreira, T Rocha, P Alves, ... Ieee Access 9, 31143-31160, 2021 | 16 | 2021 |
| Towards knowledge uncertainty estimation for open set recognition C Pires, M Barandas, L Fernandes, D Folgado, H Gamboa Machine Learning and Knowledge Extraction 2 (4), 505-532, 2020 | 13 | 2020 |
| An infrastructure-free magnetic-based indoor positioning system with deep learning L Fernandes, S Santos, M Barandas, D Folgado, R Leonardo, R Santos, ... Sensors 20 (22), 6664, 2020 | 10 | 2020 |
| Detailed Human Activity Recognition based on Multiple HMM. M Abreu, M Barandas, R Leonardo, H Gamboa BIOSIGNALS, 171-178, 2019 | 9 | 2019 |
| Evaluation of uncertainty quantification methods in multi-label classification: A case study with automatic diagnosis of electrocardiogram M Barandas, L Famiglini, A Campagner, D Folgado, R Simão, F Cabitza, ... Information Fusion 101, 101978, 2024 | 8 | 2024 |
| Determination of the walking direction of a pedestrian from acceleration data R Leonardo, G Rodrigues, M Barandas, P Alves, R Santos, H Gamboa 2019 International Conference on Indoor Positioning and Indoor Navigation …, 2019 | 8 | 2019 |
| A novel approach for user equipment indoor/outdoor classification in mobile networks P Alves, T Saraiva, M Barandas, D Duarte, D Moreira, R Santos, ... IEEE Access 9, 162671-162686, 2021 | 6 | 2021 |
Hugo GamboaFull Professor, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa在 fct.unl.pt 的电子邮件经过验证
