| Automatic cognitive fatigue detection using wearable fNIRS and machine learning R Varandas, R Lima, S Bermúdez i Badia, H Silva, H Gamboa Sensors 22 (11), 4010, 2022 | 10 | 2022 |
| Attention classification based on biosignals during standard cognitive tasks for occupational domains P Gamboa, R Varandas, J Rodrigues, C Cepeda, C Quaresma, ... Computers 11 (4), 49, 2022 | 8 | 2022 |
| Evaluation of spatial-temporal anomalies in the analysis of human movement RPS Varandas FCT NOVA: NOVA School of Science and Technology, 2018 | 5 | 2018 |
| Quantified Explainability: Convolutional Neural Network Focus Assessment in Arrhythmia Detection R Varandas, B Gonçalves, H Gamboa, P Vieira BioMedInformatics 2 (1), 124-138, 2022 | 4 | 2022 |
| Ring-topology echo state networks for ICU sepsis classification M Alfaras, R Varandas, H Gamboa 2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019 | 4 | 2019 |
| Design of an Attention Tool Using HCI and Work-Related Variables P Gamboa, C Quaresma, R Varandas, H Canhão, RD de Sousa, ... Technological Innovation for Applied AI Systems: 12th IFIP WG 5.5/SOCOLNET …, 2021 | 1 | 2021 |
| Automatic Cognitive Workload Classification Using Biosignals for Distance Learning Applications R Varandas, H Gamboa, I Silveira, P Gamboa, C Quaresma Technological Innovation for Applied AI Systems: 12th IFIP WG 5.5/SOCOLNET …, 2021 | 1 | 2021 |
| BIOSIGNALS NOTEBOOKS: AN INNOVATIVE APPROACH FOR BIOSIGNALS EXPERIENCE SHARING R Varandas, G Ramos, K Mrotzeck, P Gamboa, H Gamboa INTED2020 Proceedings, 8194-8200, 2020 | 1 | 2020 |
| Machine Learning Algorithm Development and Metrics Extraction from PPG Signal for Improved Robustness in Wearables P Veiga, R Varandas, H Gamboa BIOSTEC 2023 4 (BIOSIGNALS), 178-185, 2023 | | 2023 |
| Benefits, Implications and Ethical Concerns of Machine Learning Tools Serving Mental Health Purposes P Gamboa, C Quaresma, R Varandas, H Gamboa Technological Innovation for Applied AI Systems: 12th IFIP WG 5.5/SOCOLNET …, 2021 | | 2021 |
