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ORCIDGert-Jan de Vries
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2020 – today
- 2024
[j9]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, Thomas Villmann, Michael Biehl:
Subspace corrected relevance learning with application in neuroimaging. Artif. Intell. Medicine 149: 102786 (2024)- 2022
- [j8]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:
FDG-PET combined with learning vector quantization allows classification of neurodegenerative diseases and reveals the trajectory of idiopathic REM sleep behavior disorder. Comput. Methods Programs Biomed. 225: 107042 (2022) - 2021
- [j7]Rick van Veen, Michael Biehl, Gert-Jan de Vries:
sklvq: Scikit Learning Vector Quantization. J. Mach. Learn. Res. 22: 231:1-231:6 (2021) - 2020
- [j6]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, Michael Biehl:
An application of generalized matrix learning vector quantization in neuroimaging. Comput. Methods Programs Biomed. 197: 105708 (2020)
2010 – 2019
- 2019
- [c14]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:
Analysis and Optimization of a Sepsis Clinical Pathway Using Process Mining. Business Process Management Workshops 2019: 459-470 - 2018
- [c13]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, J. J. G. de Vries, Michael Biehl:
Machine Learning Based Analysis of FDG-PET Image Data for the Diagnosis of Neurodegenerative Diseases. APPIS 2018: 280-289 - 2017
- [c12]Gert-Jan de Vries, Ricardo Alfredo Quintano Neira, Gijs Geleijnse, Prabhakar M. Dixit, Bruno Franco Mazza:
Towards Process Mining of EMR Data - Case Study for Sepsis Management. HEALTHINF 2017: 585-593 - [c11]Sreejita Ghosh, Elizabeth Sarah Baranowski, Rick van Veen, Gert-Jan de Vries, Michael Biehl, Wiebke Arlt, Peter Tiño, Kerstin Bunte:
Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders. ESANN 2017 - [c10]Ricardo Alfredo Quintano Neira, Gert-Jan de Vries, Jennifer Caffarel, Erin Stretton:
Extraction of Data from a Hospital Information System to Perform Process Mining. MedInfo 2017: 554-558 - 2015
- [j5]Gert-Jan de Vries, Steffen C. Pauws, Michael Biehl:
Insightful stress detection from physiology modalities using Learning Vector Quantization. Neurocomputing 151: 873-882 (2015) - [j4]Gert-Jan de Vries, Paul Lemmens, Dirk Brokken, Steffen Pauws, Michael Biehl:
Towards Emotion Classification Using Appraisal Modeling. Int. J. Synth. Emot. 6(1): 40-59 (2015) - [c9]Gert-Jan de Vries, Steffen Pauws, Michael Biehl:
Facial Expression Recognition Using Learning Vector Quantization. CAIP (2) 2015: 760-771 - 2014
- [c8]Ana Kostadinovska, Gert-Jan de Vries, Gijs Geleijnse, Katerina Zdravkova:
Employing Personal Health Records for Population Health Management. ICT Innovations 2014: 65-74 - 2013
- [j3]Joris H. Janssen, Paul Tacken, Gert-Jan de Vries, Egon L. van den Broek, Joyce H. D. M. Westerink, Pim Haselager, Wijnand A. IJsselsteijn:
Machines Outperform Laypersons in Recognizing Emotions Elicited by Autobiographical Recollection. Hum. Comput. Interact. 28(6): 479-517 (2013) - [j2]Joris H. Janssen, Wijnand A. IJsselsteijn, Joyce H. D. M. Westerink, Paul Tacken, Gert-Jan de Vries:
The Tell-Tale Heart: Perceived Emotional Intensity of Heartbeats. Int. J. Synth. Emot. 4(1): 65-91 (2013) - [c7]J. J. G. de Vries, Gijs Geleijnse, Aleksandra Tesanovic, Ramon van de Ven:
Heart Failure Risk Models and Their Readiness for Clinical Practice. ICHI 2013: 239-247 - 2012
- [c6]Igor J. Berezhnoy, Gert-Jan de Vries, Tim Weysen, Jonce Dimov, Gary Garcia Molina:
Towards Unobtrusive Automated Sleep Stage Classification - Polysomnography using Electrodes on the Face. HEALTHINF 2012: 487-492 - 2010
- [j1]Aree Witoelar, Anarta Ghosh, J. J. G. de Vries, Barbara Hammer, Michael Biehl:
Window-Based Example Selection in Learning Vector Quantization. Neural Comput. 22(11): 2924-2961 (2010) - [c5]Gert-Jan de Vries, Marjolein D. van der Zwaag:
Enhanced Method for Robust Mood Extraction from Skin Conductance. BIOSIGNALS 2010: 139-144 - [c4]Farnaz Zangouei, Mohammad Ali Babazadeh Gashti, Kristina Höök, Tim Tijs, Gert-Jan de Vries, Joyce H. D. M. Westerink:
How to stay in the emotional rollercoaster: lessons learnt from designing EmRoll. NordiCHI 2010: 571-580
2000 – 2009
- 2009
- [c3]Gert-Jan de Vries, Paul Lemmens, Dirk Brokken:
Same or different? Recollection of or empathizing with an emotional event from the perspective of appraisal models. ACII 2009: 1-6 - [c2]Joyce H. D. M. Westerink, Martin Ouwerkerk, Gert-Jan de Vries, S. de Waele, Jack van den Eerenbeemd, M. van Boven:
Emotion measurement platform for daily life situations. ACII 2009: 1-6 - [c1]Paul Lemmens, Floris Crompvoets, Dirk Brokken, Jack van den Eerenbeemd, Gert-Jan de Vries:
A body-conforming tactile jacket to enrich movie viewing. WHC 2009: 7-12 - [i1]Gert-Jan de Vries, Michael Biehl:
Analysis of Robust Soft Learning Vector Quantization and an application to Facial Expression Recognition. Similarity-based learning on structures 2009
Coauthor Index
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