Jan van Rijn

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Jan van Rijn

Jan N. van Rijn,
a Dutch computer scientist and assistant professor at Leiden University, where he already defended his Ph.D. thesis in 2016 on massively collaborative machine learning , and at LIACS, his Master's thesis in 2012 on game complexity, of Klondike, Mahjong, Nonogram and Dou Shou Qi (Jungle, Jungle Chess, Animals Chess) . His research interests further include retrograde analysis, machine learning, and meta learning along with massively collaborative data mining, where data mining efforts are distributed to multiple collaborating agents - human or software.

Selected Publications

• Jan van Rijn (2012). Playing Games: The complexity of Klondike, Mahjong, Nonograms and Animal Chess. Master's thesis, Leiden Institute of Advanced Computer Science, pdf
• Jan van Rijn, Joaquin Vanschoren (2013). OpenML: An Open Science Platform for Machine Learning. BENELearn 2013
• Jan van Rijn, Jonathan K. Vis (2013). Complexity and Retrograde Analysis of the Game Dou Shou Qi. BNAIC 2013
• Hendrik Jan Hoogeboom, Walter Kosters, Jan van Rijn, Jonathan K. Vis (2014, 2016). Acyclic Constraint Logic and Games. ICGA Journal, Vol 37, No. 1, arXiv:1604.05487
• Jan van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren (2014). Algorithm Selection on Data Streams. DS 2014
• Jan van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren (2014). Towards Meta-learning over Data Streams. MetaSel 2014
• Jan van Rijn, Jonathan K. Vis (2014). Endgame Analysis of Dou Shou Qi. ICGA Journal, Vol. 37, No. 2, pdf
• Jan van Rijn (2016). Massively collaborative machine learning. Ph.D. thesis, Leiden University
• Jan van Rijn, Frank Hutter (2017). An Empirical Study of Hyperparameter Importance Across Datasets. AutoML@PKDD/ECML 2017, pdf

External Links

• Jan N. van Rijn - LIACS
• Jan van Rijn | LinkedIn

References

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