J
Joost N. Kok
Researcher at Leiden University
Publications - 207
Citations - 14756
Joost N. Kok is an academic researcher from Leiden University. The author has contributed to research in topics: Artificial neural network & Knowledge extraction. The author has an hindex of 40, co-authored 206 publications receiving 11350 citations. Previous affiliations of Joost N. Kok include Leiden University Medical Center & Utrecht University.
Papers
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Journal ArticleDOI
The FAIR Guiding Principles for scientific data management and stewardship
Mark Wilkinson,Michel Dumontier,IJsbrand Jan Aalbersberg,Gabrielle Appleton,Myles Axton,Arie Baak,Niklas Blomberg,Jan-Willem Boiten,Luiz Olavo Bonino da Silva Santos,Philip E. Bourne,Jildau Bouwman,Anthony J. Brookes,Timothy Clark,Mercè Crosas,Ingrid Dillo,Olivier G. Dumon,Scott C. Edmunds,Chris T. Evelo,Richard Finkers,Alejandra Gonzalez-Beltran,Alasdair J. G. Gray,Paul Groth,Carole Goble,Jeffrey S. Grethe,Jaap Heringa,Peter A C 't Hoen,Rob Hooft,Tobias Kuhn,Ruben Kok,Joost N. Kok,Scott J. Lusher,Maryann E. Martone,Albert Mons,Abel L. Packer,Bengt Persson,Philippe Rocca-Serra,Marco Roos,Rene van Schaik,Susanna-Assunta Sansone,Erik Anthony Schultes,Thierry Sengstag,Ted Slater,George Strawn,Morris A. Swertz,Mark Thompson,Johan van der Lei,Erik M. van Mulligen,Jan Velterop,Andra Waagmeester,Peter Wittenburg,Katherine Wolstencroft,Jun Zhao,Barend Mons,Barend Mons +53 more
TL;DR: The FAIR Data Principles as mentioned in this paper are a set of data reuse principles that focus on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.
Journal ArticleDOI
Error-backpropagation in temporally encoded networks of spiking neurons
TL;DR: It is demonstrated that temporal coding requires significantly less neurons than instantaneous rate-coding, and a supervised learning rule, \emph{SpikeProp}, akin to traditional error-backpropagation, is derived.
Proceedings ArticleDOI
A quickstart in frequent structure mining can make a difference
Siegfried Nijssen,Joost N. Kok +1 more
TL;DR: The GrAph/Sequence/Tree extractiON (Gaston) algorithm is introduced that implements the "quickstart principle", which is based on the fact that these classes of structures are contained in each other, thus allowing for the development of structure mining algorithms that split the search into steps of increasing complexity.
Reference BookDOI
Handbook of Natural Computing
TL;DR: The Natural Computing handbook is an important catalyst for this two-way interaction between computer science and the natural sciences, and is a major record of this important development.
Journal ArticleDOI
Frequent Subtree Mining - An Overview
TL;DR: An overview of a broad range of tree mining algorithms focusing on the common theoretical foundations of the current frequent subtree mining algorithms and their relationship with their counterparts in frequent itemset mining is provided.