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  1. Maerten de Vos, Maerten de Vos the Elder or Marten de Vos (1532 – 4 December 1603) was a Flemish painter. He is known mainly for his history and allegorical paintings and portraits.

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    Decomposition techniques with applications in neuroscience A glimpse of past and ongoing projects is listed on https://cibim.eng.ox.ac.uk​. This will be updated soon

    Maarten De Vos has a joint appointment as Associate Professor in the Departments of Engineering and Medicine at KU Leuven after being Associate Professor at the University of Oxford, United Kingdom, and Junior Professor at the University of Oldenburg, Germany. He obtained an MSc (2005) and PhD (2009) in Electrical Engineering from KU Leuven, Belgiu...

    Contributions to books 1. Hunyadi B., Van Huffel S., De Vos M., "The power of tensor decompositions in biomedical applications", in Chapter 3 Machine Learning for Healthcare Technologies, (Clifton D. A., ed.), The Institution of Engineering and Technology (IET) (London, UK), 2016, pp. . 2. Debener S., Cranczioch C., De Vos M., "Electroencephalograp...

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  3. Towards a truly mobile auditory brain–computer interface: exploring the P300 to take away. M De Vos, K Gandras, S Debener. International journal of psychophysiology 91 (1), 46-53. , 2014. 232. 2014. Decoding the attended speech stream with multi-channel EEG: implications for online, daily-life applications.

  4. 3 days ago · Maarten De Vos is an interdisciplinary professor at KU Leuven, with expertise in AI for health applications and mobile brain imaging. He has worked and visited several universities and institutions around the world, and received multiple awards and citations.

  5. Maarten DE VOS, Professor | Cited by 3,580 | of KU Leuven, Leuven (ku leuven) | Read 19 publications | Contact Maarten DE VOS

  6. Maarten DE VOS | Cited by 8,078 | | Read 277 publications | Contact Maarten DE VOS

  7. Maarten De Vos is an electrical engineer and a researcher in AI for health and biomedical monitoring. He has won several innovation prizes and published papers on EEG, ECG, and wearable sensors.