Face detection in the compressed domain. - Pedro Fonseca 002; Jan Nesvadba (ICIP, 2004)

Real-Time and Distributed AV Content Analysis System for Consumer Electronics Networks. - Jan Nesvadba; Pedro Fonseca 002; Alexander Sinitsyn; Fons de Lange; Martijn Thijssen; Patrick van Kaam; Hong Liu 008; Rien van Leeuwen; Johan J. Lukkien; Andrei Korostelev; Jan Ypma; Bart Kroon; et al. (ICME, 2005)

User test of soccer highlights application. - Lu Wang; Pedro Fonseca 002; Bas Zoetekouw (BCS HCI (2), 2008)

Multimedia content analysis for consumer electronics. - Mauro Barbieri; Pedro Fonseca 002; Marc A. Peters; Lu Wang (CIVR, 2008)

Towards a Ground Truth for Affective Classification in Movies. - Tsvetomira Tsoneva; Pedro Fonseca 002; Janto Skowronek (ISM, 2009)

Using dynamic time warping for sleep and wake discrimination. - Xi Long; Pedro Fonseca 002; Jérôme Foussier; Reinder Haakma; Ronald M. Aarts (BHI, 2012)

Time-frequency analysis of heart rate variability for sleep and wake classification. - Xi Long; Pedro Fonseca 002; Reinder Haakma; Ronald M. Aarts; Jérôme Foussier (BIBE, 2012)

Automatic Feature Selection for Sleep/Wake Classification with Small Data Sets. - Jérôme Foussier; Pedro Fonseca 002; Xi Long; Steffen Leonhardt (BIOINFORMATICS, 2013)

Combining HRV Features for Automatic Arousal Detection. - Jérôme Foussier; Pedro Fonseca 002; Xi Long; Berno J. E. Misgeld; Steffen Leonhardt (CinC, 2013)

On the impact of arousals on the performance of sleep and wake classification using actigraphy. - Pedro Fonseca 002; Xi Long; Jérôme Foussier; Ronald M. Aarts (EMBC, 2013)

Respiration amplitude analysis for REM and NREM sleep classification. - Xi Long; Jérôme Foussier; Pedro Fonseca 002; Reinder Haakma; Ronald M. Aarts (EMBC, 2013)

Automatic detection of overnight deep sleep based on heart rate variability: A preliminary study. - Xi Long; Pedro Fonseca 002; Reinder Haakma; Jérôme Foussier; Ronald M. Aarts (EMBC, 2014)

Analyzing respiratory effort amplitude for automated sleep stage classification. - Xi Long; Jérôme Foussier; Pedro Fonseca 002; Reinder Haakma; Ronald M. Aarts (Biomed. Signal Process. Control., 2014)

Spectral Boundary Adaptation on Heart Rate Variability for Sleep and Wake Classification. - Xi Long; Pedro Fonseca 002; Reinder Haakma; Ronald M. Aarts; Jérôme Foussier (Int. J. Artif. Intell. Tools, 2014)

Sleep and Wake Classification With Actigraphy and Respiratory Effort Using Dynamic Warping. - Xi Long; Pedro Fonseca 002; Jérôme Foussier; Reinder Haakma; Ronald M. Aarts (IEEE J. Biomed. Health Informatics, 2014)

Improving sleep/wake detection via boundary adaptation for respiratory spectral features. - Xi Long; Reinder Haakma; Jerome Rolink; Pedro Fonseca 002; Ronald M. Aarts (EMBC, 2015)

Recurrence quantification analysis across sleep stages. - Jerome Rolink; Martin Kutz; Pedro Fonseca 002; Xi Long; Berno J. E. Misgeld; Steffen Leonhardt (Biomed. Signal Process. Control., 2015)

Effects of Between- and Within-Subject Variability on Autonomic Cardiorespiratory Activity during Sleep and Their Limitations on Sleep Staging: A Multilevel Analysis. - Xi Long; Reinder Haakma; Tim R. M. Leufkens; Pedro Fonseca 002; Ronald M. Aarts (Comput. Intell. Neurosci., 2015)

Actigraphy-based sleep/wake detection for insomniacs. - Xi Long; Pedro Fonseca 002; Reinder Haakma; Ronald M. Aarts (BSN, 2017)

Photoplethysmography beat detection and pulse morphology quality assessment for signal reliability estimation. - Gabriele B. Papini; Pedro Fonseca 002; Xavier L. Aubert; Sebastiaan Overeem; Jan W. M. Bergmans; Rik Vullings (EMBC, 2017)

Cardiorespiratory Sleep Stage Detection Using Conditional Random Fields. - Pedro Fonseca 002; Niek den Teuling; Xi Long; Ronald M. Aarts (IEEE J. Biomed. Health Informatics, 2017)

Detection of Nocturnal Slow Wave Sleep Based on Cardiorespiratory Activity in Healthy Adults. - Xi Long; Pedro Fonseca 002; Ronald M. Aarts; Reinder Haakma; Jerome Rolink; Steffen Leonhardt (IEEE J. Biomed. Health Informatics, 2017)

Autonomic cardiac activity in adults with short and long sleep onset latency. - Marina-Marinela Nano; Pedro Fonseca 002; Sebastiaan Overeem; Rik Vullings; Ronald M. Aarts (EMBC, 2018)

On the generalizability of ECG-based obstructive sleep apnea monitoring: merits and limitations of the Apnea-ECG database. - Gabriele B. Papini; Pedro Fonseca 002; Jenny Margarito; Merel M. van Gilst; Sebastiaan Overeem; Jan W. M. Bergmans; Rik Vullings (EMBC, 2018)

Improving sleep/wake classification with recurrence quantification analysis features. - Jerome Rolink; Pedro Fonseca 002; Xi Long; Steffen Leonhardt (Biomed. Signal Process. Control., 2019)

PerSleep: A Visual Analytics Approach for Performance Assessment of Sleep Staging Models. - Humberto S. Garcia Caballero; Alberto Corvò; Fokke van Meulen; Pedro Fonseca 002; Sebastiaan Overeem; Jarke J. van Wijk; Michel A. Westenberg (VCBM, 2021)

Audio-based snore detection using deep neural networks. - Jiali Xie; Xavier L. Aubert; Xi Long; Johannes P. van Dijk; Bruno Arsenali; Pedro Fonseca 002; Sebastiaan Overeem (Comput. Methods Programs Biomed., 2021)

A deep transfer learning approach for wearable sleep stage classification with photoplethysmography. - Mustafa Radha; Pedro Fonseca 002; Arnaud Moreau; Marco Ross; Andreas Cerny; Peter Anderer; Xi Long; Ronald M. Aarts (npj Digit. Medicine, 2021)

Aleatoric Uncertainty Estimation of Overnight Sleep Statistics Through Posterior Sampling Using Conditional Normalizing Flows. - Hans Van Gorp; Merel M. van Gilst; Pedro Fonseca 002; Sebastiaan Overeem; Ruud J. G. van Sloun (ICASSP, 2023)

A deep-learning approach to assess respiratory effort with a chest-worn accelerometer during sleep. - Fons Schipper; Ruud J. G. van Sloun; Angela Grassi; Sebastiaan Overeem; Pedro Fonseca 002 (Biomed. Signal Process. Control., 2023)

Assessment of obstructive sleep apnea severity using audio-based snoring features. - Jiali Xie; Pedro Fonseca 002; Johannes P. van Dijk; Sebastiaan Overeem; Xi Long (Biomed. Signal Process. Control., 2023)

Modeling the Impact of Inter-Rater Disagreement on Sleep Statistics Using Deep Generative Learning. - Hans Van Gorp; Merel M. van Gilst; Pedro Fonseca 002; Sebastiaan Overeem; Ruud J. G. van Sloun (IEEE J. Biomed. Health Informatics, 2023)

Measurement of cardia-respiratory dynamics during sleep arousals with a suprasternal pressure sensor. - Luca Cerina; Gabriele B. Papini; Pedro Fonseca 002; Sebastiaan Overeem; Rik Vullings (MeMeA, 2024)

A generative foundation model for five-class sleep staging with arbitrary sensor input. - Hans Van Gorp; Merel M. van Gilst; Pedro Fonseca 002; Fokke B. van Meulen; Johannes P. van Dijk; Sebastiaan Overeem; Ruud J. G. van Sloun (CoRR, 2024)

Estimating the Severity of Obstructive Sleep Apnea Using ECG, Respiratory Effort and Neural Networks. - Pedro Fonseca 002; Marco Ross; Andreas Cerny; Peter Anderer; Fons Schipper; Angela Grassi; Merel van Gilst; Sebastiaan Overeem (IEEE J. Biomed. Health Informatics, 2024)

Overnight Sleep Staging Using Chest-Worn Accelerometry. - Fons Schipper; Angela Grassi; Marco Ross; Andreas Cerny; Peter Anderer; Lieke W. A. Hermans; Fokke van Meulen; Mickey Leentjens; Emily Schoustra; Pien Bosschieter; Ruud J. G. van Sloun; Sebastiaan Overeem; et al. (Sensors, 2024)

Multi-modal multi-task deep neural networks for sleep disordered breathing assessment using cardiac and audio signals. - Jiali Xie; Pedro Fonseca 002; Johannes P. van Dijk; Sebastiaan Overeem; Xi Long (Int. J. Medical Informatics, 2025)