Same or different? Recollection of or empathizing with an emotional event from the perspective of appraisal models. - Gert-Jan de Vries; Paul Lemmens; Dirk Brokken (ACII, 2009)

Emotion measurement platform for daily life situations. - Joyce H. D. M. Westerink; Martin Ouwerkerk; Gert-Jan de Vries; S. de Waele; Jack van den Eerenbeemd; M. van Boven (ACII, 2009)

Analysis of Robust Soft Learning Vector Quantization and an application to Facial Expression Recognition. - Gert-Jan de Vries; Michael Biehl (Similarity-based learning on structures, 2009)

A body-conforming tactile jacket to enrich movie viewing. - Paul Lemmens; Floris Crompvoets; Dirk Brokken; Jack van den Eerenbeemd; Gert-Jan de Vries (WHC, 2009)

Enhanced Method for Robust Mood Extraction from Skin Conductance. - Gert-Jan de Vries; Marjolein D. van der Zwaag (BIOSIGNALS, 2010)

How to stay in the emotional rollercoaster: lessons learnt from designing EmRoll. - Farnaz Zangouei; Mohammad Ali Babazadeh Gashti; Kristina Höök; Tim Tijs; Gert-Jan de Vries; Joyce H. D. M. Westerink (NordiCHI, 2010)

Window-Based Example Selection in Learning Vector Quantization. - Aree Witoelar; Anarta Ghosh; J. J. G. de Vries; Barbara Hammer; Michael Biehl (Neural Comput., 2010)

Towards Unobtrusive Automated Sleep Stage Classification - Polysomnography using Electrodes on the Face. - Igor J. Berezhnoy; Gert-Jan de Vries; Tim Weysen; Jonce Dimov; Gary Garcia Molina (HEALTHINF, 2012)

Heart Failure Risk Models and Their Readiness for Clinical Practice. - J. J. G. de Vries; Gijs Geleijnse; Aleksandra Tesanovic; Ramon van de Ven (ICHI, 2013)

Machines Outperform Laypersons in Recognizing Emotions Elicited by Autobiographical Recollection. - Joris H. Janssen; Paul Tacken; Gert-Jan de Vries; Egon L. van den Broek; Joyce H. D. M. Westerink; Pim Haselager; Wijnand A. IJsselsteijn (Hum. Comput. Interact., 2013)

The Tell-Tale Heart: Perceived Emotional Intensity of Heartbeats. - Joris H. Janssen; Wijnand A. IJsselsteijn; Joyce H. D. M. Westerink; Paul Tacken; Gert-Jan de Vries (Int. J. Synth. Emot., 2013)

Employing Personal Health Records for Population Health Management. - Ana Kostadinovska; Gert-Jan de Vries; Gijs Geleijnse; Katerina Zdravkova (ICT Innovations, 2014)

Facial Expression Recognition Using Learning Vector Quantization. - Gert-Jan de Vries; Steffen Pauws; Michael Biehl (CAIP (2), 2015)

Insightful stress detection from physiology modalities using Learning Vector Quantization. - Gert-Jan de Vries; Steffen C. Pauws; Michael Biehl (Neurocomputing, 2015)

Towards Emotion Classification Using Appraisal Modeling. - Gert-Jan de Vries; Paul Lemmens; Dirk Brokken; Steffen Pauws; Michael Biehl (Int. J. Synth. Emot., 2015)

Towards Process Mining of EMR Data - Case Study for Sepsis Management. - Gert-Jan de Vries; Ricardo Alfredo Quintano Neira; Gijs Geleijnse; Prabhakar M. Dixit; Bruno Franco Mazza (HEALTHINF, 2017)

Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders. - Sreejita Ghosh; Elizabeth Sarah Baranowski; Rick van Veen; Gert-Jan de Vries; Michael Biehl; Wiebke Arlt; Peter Tiño; Kerstin Bunte (ESANN, 2017)

Extraction of Data from a Hospital Information System to Perform Process Mining. - Ricardo Alfredo Quintano Neira; Gert-Jan de Vries; Jennifer Caffarel; Erin Stretton (MedInfo, 2017)

Machine Learning Based Analysis of FDG-PET Image Data for the Diagnosis of Neurodegenerative Diseases. - Rick van Veen; Lidia Talavera-Martínez; Rosalie V. Kogan; Sanne K. Meles; Deborah Mudali; Jos B. T. M. Roerdink; Federico Massa; M. Grazzini; Jose A. Obeso; Maria C. Rodriguez-Oroz; Klaus Leonard Leenders; Remco J. Renken; et al. (APPIS, 2018)

Analysis and Optimization of a Sepsis Clinical Pathway Using Process Mining. - Ricardo Alfredo Quintano Neira; Bart Franciscus Antonius Hompes; Gert-Jan de Vries; Bruno Franco Mazza; Samantha L. Simões de Almeida; Erin Stretton; Joos C. A. M. Buijs; Silvio Hamacher (Business Process Management Workshops, 2019)

An application of generalized matrix learning vector quantization in neuroimaging. - Rick van Veen; Vita Gurvits; Rosalie V. Kogan; Sanne K. Meles; Gert-Jan de Vries; Remco J. Renken; Maria C. Rodriguez-Oroz; Rafael Rodriguez-Rojas; Dario Arnaldi; Stefano Raffa; Bauke M. de Jong; Klaus Leonard Leenders; et al. (Comput. Methods Programs Biomed., 2020)

sklvq: Scikit Learning Vector Quantization. - Rick van Veen; Michael Biehl; Gert-Jan de Vries (J. Mach. Learn. Res., 2021)

FDG-PET combined with learning vector quantization allows classification of neurodegenerative diseases and reveals the trajectory of idiopathic REM sleep behavior disorder. - Rick van Veen; Sanne K. Meles; Remco J. Renken; Fransje E. Reesink; Wolfgang H. Oertel; Annette Janzen; Gert-Jan de Vries; Klaus Leonard Leenders; Michael Biehl (Comput. Methods Programs Biomed., 2022)

Subspace corrected relevance learning with application in neuroimaging. - Rick van Veen; Neha Rajendra Bari Tamboli; Sofie Lövdal; Sanne K. Meles; Remco J. Renken; Gert-Jan de Vries; Dario Arnaldi; Silvia Morbelli; Pedro Clavero; José A. Obeso; Maria C. Rodriguez-Oroz; Klaus Leonard Leenders; et al. (Artif. Intell. Medicine, 2024)