Assessing Occupational Health with a Cross-platform Application based on Self-reports and Biosignals. - Sara Silva; Cátia Cepeda; João Rodrigues; Phillip Probst; Hugo Gamboa (HEALTHINF, 2022)

Multimodal Stress Classification Based on Biosignals Extracted from Smart Devices and Electromyography. - Maria Justino; Phillip Probst; Daniel Zagalo; Cátia Cepeda; Hugo Gamboa (BIOSIGNALS, 2023)

Analysis of Postural Variability of Office Workers Using Inertial Sensors. - Fábio Mendes; Phillip Probst; Eduarda Oliosi; Luís Silva; Cátia Cepeda; Hugo Gamboa (BIOSIGNALS, 2023)

Cleaning ECG with Deep Learning: A Denoiser Based on Gated Recurrent Units. - Mariana Dias; Phillip Probst; Luís Silva; Hugo Gamboa (DoCEIS, 2023)

Week-long Multimodal Data Acquisition of Occupational Risk Factors in Public Administration Workers. - Eduarda Oliosi; Phillip Probst; João Rodrigues; Luís Silva; Daniel Zagalo; Cátia Cepeda; Hugo Gamboa (IE, 2023)

Cardiorespiratory Adaptations to Work Volume on an Automobile Assembly Line. - Dania Furk; Luís Silva; Mariana Dias; Phillip Probst; Hugo Gamboa (BIOSTEC (1), 2024)

Exploring the Real-Time Variability and Complexity of Sitting Patterns in Office Workers with Non-Specific Chronic Spinal Pain and Pain-Free Individuals. - Eduarda Oliosi; Afonso Júlio; Phillip Probst; Luís Silva; João Paulo Vilas-Boas; Ana Rita Pinheiro; Hugo Gamboa (Sensors, 2024)

Cleaning ECG with Deep Learning: A Denoiser Tested in Industrial Settings. - Mariana Dias; Phillip Probst; Luís Silva; Hugo Gamboa (SN Comput. Sci., 2024)

Effects of Class Imbalance in Unsupervised Human Activity Recognition for Office Work Task Characterization. - Sara Santos; Phillip Probst; Luís Silva; Hugo Gamboa (BIOSTEC (1), 2025)