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  4. Berg, R.J.H. van den [Contributor]; Beukema, Frits [Editor]; Bezooijen, Reneé van [Contributor]; Booij, Geert E [Contributor]; Bouma, Gosse [Contributor]; Broeder, Peter [Contributor]; Corner, Norbert [Contributor]; Drijkoningen, Frank [Contributor]; Extra, Guus [Contributor]; Haas, Wim de [Contributor]; Haegeman, Liliane [Contributor]; Heuven, Vincent van [Contributor]; Hoekstra, Eric [Contributor]; Hoekstra, Teun [Contributor]; Hout, Roeland van [Contributor]; Hulk, Aafke [Editor]; Hülst, Harry van der [Contributor]; Jacobs, Emmy [Contributor]; Jonge, Bob de [Contributor]; Kager, René [Contributor]; Langeweg, Simone [Contributor]; Marácz, László [Contributor]; Mors, Christine ter [Contributor]; Mous, Maarten [Contributor]; [...]

    Linguistics in Netherlands - [Reprint 2021]

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    Berlin; Boston: De Gruyter Mouton, [2021] ; [Online-Ausgabe]

    Published in: AVT Publications ; 2

  8. Petkova Schick, Ivanka; Beukema, Frits

    Clitic doubling in Bulgarian

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    John Benjamins Publishing Company, 2001

    Published in: Linguistics in the Netherlands, 18 (2001), Seite 205-218

  10. DEN DIKKEN, MARCEL; BEUKEMA, FRITS

    HEADS – AN INTRODUCTION

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    Walter de Gruyter GmbH, 1991

    Published in: The Linguistic Review, 8 (1991) 2-4

  11. BENNIS, HANS; BEUKEMA, FRITS; DEN DIKKEN, MARCEL

    Getting verb movement

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    Walter de Gruyter GmbH, 1997

    Published in: Linguistics, 35 (1997) 6

  14. Wouden, Ton van der; Audring, Jenny; Bennis, Hans; Beukema, Frits; Booij, Geert; Broekhuis, Hans; Corver, Norbert; Cremers, Crit; Dernison, Roderik; Dikken, Marcel den; Dyk, Siebren; Gussenhoven, Carlos; Haan, Ger de; Heuven, Vincent van; Hoekstra, Eric; Hoekstra, Jarich; Hoogeveen, Bart; Jong, Gerbrich de; Keizer, Evelien; Kirstein, Anna; Köhnlein, Björn; Landsbergen, Frank; Linke, Kathrin; Oostendorp, Marc van; [...]

    Het Taalportaal : Een nieuwe wetenschappelijke grammatica voor het Nederlands en het Fries (en het Afrikaans) : Een nieuwe wetenschappelijke grammatica voor het Nederlands en het Fries (en het Afrikaans)

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    Amsterdam University Press, 2016

    Published in: Nederlandse Taalkunde, 21 (2016) 1, Seite 157-168

  15. Fleuren, Lucas M.; Dam, Tariq A.; Tonutti, Michele; de Bruin, Daan P.; Lalisang, Robbert C. A.; Gommers, Diederik; Cremer, Olaf L.; Bosman, Rob J.; Rigter, Sander; Wils, Evert-Jan; Frenzel, Tim; Dongelmans, Dave A.; de Jong, Remko; Peters, Marco; Kamps, Marlijn J. A.; Ramnarain, Dharmanand; Nowitzky, Ralph; Nooteboom, Fleur G. C. A.; de Ruijter, Wouter; Urlings-Strop, Louise C.; Smit, Ellen G. M.; Mehagnoul-Schipper, D. Jannet; Dormans, Tom; de Jager, Cornelis P. C.; [...]

    Predictors for extubation failure in COVID-19 patients using a machine learning approach

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    Springer Science and Business Media LLC, 2021

    Published in: Critical Care, 25 (2021) 1

  16. Dam, Tariq A.; Roggeveen, Luca F.; van Diggelen, Fuda; Fleuren, Lucas M.; Jagesar, Ameet R.; Otten, Martijn; de Vries, Heder J.; Gommers, Diederik; Cremer, Olaf L.; Bosman, Rob J.; Rigter, Sander; Wils, Evert-Jan; Frenzel, Tim; Dongelmans, Dave A.; de Jong, Remko; Peters, Marco A. A.; Kamps, Marlijn J. A.; Ramnarain, Dharmanand; Nowitzky, Ralph; Nooteboom, Fleur G. C. A.; de Ruijter, Wouter; Urlings-Strop, Louise C.; Smit, Ellen G. M.; Mehagnoul-Schipper, D. Jannet; [...]

    Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning

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    Springer Science and Business Media LLC, 2022

    Published in: Annals of Intensive Care, 12 (2022) 1

  17. Fleuren, Lucas M.; Tonutti, Michele; de Bruin, Daan P.; Lalisang, Robbert C. A.; Dam, Tariq A.; Gommers, Diederik; Cremer, Olaf L.; Bosman, Rob J.; Vonk, Sebastiaan J. J.; Fornasa, Mattia; Machado, Tomas; van der Meer, Nardo J. M.; Rigter, Sander; Wils, Evert-Jan; Frenzel, Tim; Dongelmans, Dave A.; de Jong, Remko; Peters, Marco; Kamps, Marlijn J. A.; Ramnarain, Dharmanand; Nowitzky, Ralph; Nooteboom, Fleur G. C. A.; de Ruijter, Wouter; Urlings-Strop, Louise C.; [...]

    Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse

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    Springer Science and Business Media LLC, 2021

    Published in: Intensive Care Medicine Experimental, 9 (2021) 1