Multivariate Density Estimation by Neural Networks von Peerlings, Dewi E. W., van den Brakel, Jan A., Basturk, Nalan, Puts, Marco J. H.

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Using huge amounts of road sensor data for official statistics von J. H. Puts, Marco, J. H. Daas, Piet, Tennekes, Martijn, de Blois, Chris

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Big Data as a Source for Official Statistics von Daas, Piet J.H., Puts, Marco J., Buelens, Bart, Hurk, Paul A.M. van den

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Audiophile hardware in vision science; the soundcard as a digital to analog converter von H. Puts, Marco J., Pokorny, Joel, Quinlan, Jules, Glennie, Linda

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Inferred retinal mechanisms mediating illusory distortions von PUTS, MARCO J.H., POKORNY, JOEL, SMITH, VIVIANNE C.

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Ten propositions on machine learning in official statistics von van Delden, Arnout, Burger, Joep, Puts, Marco

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Finding errors in Big Data von Puts, Marco, Daas, Piet, de Waal, Ton

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Leveraging Machine Learning for Official Statistics: A Statistical Manifesto von Puts, Marco, Salgado, David, Daas, Piet

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From experimental to official statistics: The case of solar energy von De Broe, Sofie, Meijers, Ralph, ten Bosch, Olav, Buelens, Bart, Priem, Alex, Laevens, Ben, de Jong, Tim, Puts, Marco

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Bias Correction in Machine Learning-based Classification of Rare Events von Gubbels, Luuk, Puts, Marco, Daas, Piet

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Inferred retinal mechanisms mediating illusory distortions von Puts, M., Pokorny, J., Smith, V. C.

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Temporal aspects of global form perception von Puts, M. J. H., Weert, C. M. M.

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Does colour influence subitization? von Puts, Marco J.H., de Weert, Charles M.M.

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Bias Correction in Machine Learning-based Classification of Rare Events von Gubbels, Luuk, Puts, Marco, Daas, Piet

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Unbiased Estimations based on Binary Classifiers: A Maximum Likelihood Approach von Puts, Marco J. H, Daas, Piet J. H

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Unbiased Estimations based on Binary Classifiers: A Maximum Likelihood Approach von Puts, Marco J H, Daas, Piet J H

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Multiple Parameter Estimation in an Adaptive Psychometric Method: MUEST, an Extension of the QUEST Method von Snoeren, Peter R., Puts, Marco J.H.

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Analyzing Partitioned FAIR Health Data Responsibly von Sun, Chang, Ippel, Lianne, Wouters, Birgit, van Soest, Johan, Malic, Alexander, Adekunle, Onaopepo, Berg, Bob van den, Puts, Marco, Mussmann, Ole, Koster, Annemarie, van der Kallen, Carla, Townend, David, Dekker, Andre, Dumontier, Michel

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Alternative Sources and Machine Learning for Official Statistics: A Review von Puts, Marco, Daas, Piet

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Joel et al.’s method systematically fails to detect large, consistent sex differences von Del Giudice, Marco, Lippa, Richard A., Puts, David A., Bailey, Drew H., Bailey, J. Michael, Schmitt, David P.

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