| TSFEL: Time series feature extraction library M Barandas, D Folgado, L Fernandes, S Santos, M Abreu, P Bota, H Liu, ... SoftwareX 11, 100456, 2020 | 526 | 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 | 107 | 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 | 95 | 2021 |
| 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 | 56 | 2023 |
| TIP4. 0: industrial internet of things platform for predictive maintenance C Resende, D Folgado, J Oliveira, B Franco, W Moreira, A Oliveira-Jr, ... Sensors 21 (14), 4676, 2021 | 56 | 2021 |
| A semi-automatic annotation approach for human activity recognition P Bota, J Silva, D Folgado, H Gamboa Sensors 19 (3), 501, 2019 | 54 | 2019 |
| Feature-based information retrieval of multimodal biosignals with a self-similarity matrix: Focus on automatic segmentation J Rodrigues, H Liu, D Folgado, D Belo, T Schultz, H Gamboa Biosensors 12 (12), 1182, 2022 | 41 | 2022 |
| Tssearch: Time series subsequence search library D Folgado, M Barandas, M Antunes, ML Nunes, H Liu, Y Hartmann, ... SoftwareX 18, 101049, 2022 | 31 | 2022 |
| SSTS: A syntactic tool for pattern search on time series J Rodrigues, D Folgado, D Belo, H Gamboa Information Processing & Management 56 (1), 61-76, 2019 | 29 | 2019 |
| 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 | 28 | 2022 |
| Robust Anomaly Detection in Time Series through Variational AutoEncoders and a Local Similarity Score. P Matias, D Folgado, H Gamboa, AV Carreiro Biosignals, 91-102, 2021 | 28 | 2021 |
| Explaining the Ergonomic Assessment of Human Movement in Industrial Contexts. S Santos, D Folgado, J Rodrigues, N Mollaei, C Fujao, H Gamboa BIOSIGNALS 1, 79-88, 2020 | 25 | 2020 |
| 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 | 23 | 2024 |
| Cardiovascular load assessment in the workplace: A systematic review M Dias, L Silva, D Folgado, ML Nunes, C Cepeda, M Cheetham, ... International Journal of Industrial Ergonomics 96, 103476, 2023 | 23 | 2023 |
| Using inertial sensors to evaluate exercise correctness in electromyography-based home rehabilitation systems A Pereira, D Folgado, F Nunes, J Almeida, I Sousa 2019 IEEE International Symposium on Medical Measurements and Applications …, 2019 | 20 | 2019 |
| Time series segmentation using neural networks with cross-domain transfer learning P Matias, D Folgado, H Gamboa, A Carreiro Electronics 10 (15), 1805, 2021 | 18 | 2021 |
| Physiotherapy Exercises Evaluation using a Combined Approach based on sEMG and Wearable Inertial Sensors. A Pereira, D Folgado, R Cotrim, I Sousa Biosignals, 73-82, 2019 | 17 | 2019 |
| 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 | 15 | 2020 |
| Explainability meets uncertainty quantification: Insights from feature-based model fusion on multimodal time series D Folgado, M Barandas, L Famiglini, R Santos, F Cabitza, H Gamboa Information Fusion 100, 101955, 2023 | 13 | 2023 |
| Posture risk assessment in an automotive assembly line using inertial sensors ML Nunes, D Folgado, C Fujão, L Silva, J Rodrigues, P Matias, ... IEEE Access 10, 83221-83235, 2022 | 12 | 2022 |
Hugo GamboaFull Professor, Faculdade de Ciências e Tecnologia, Universidade Nova de LisboaGeverifieerd e-mailadres voor fct.unl.pt