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David Kofoed Wind
David Kofoed Wind
Verificeret mail på dtu.dk
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Inferring person-to-person proximity using WiFi signals
P Sapiezynski, A Stopczynski, DK Wind, J Leskovec, S Lehmann
Proceedings of the ACM on interactive, mobile, wearable and ubiquitous …, 2017
902017
String matching with variable length gaps
P Bille, IL Gørtz, HW Vildhøj, DK Wind
Theoretical Computer Science 443, 25-34, 2012
852012
Inferring stop-locations from wifi
DK Wind, P Sapiezynski, MA Furman, S Lehmann
PloS one 11 (2), e0149105, 2016
262016
Peer feedback with peergrade
DK Wind, RM Jørgensen, SL Hansen
ICEL 2018 13th International Conference on e-Learning, 184, 2018
212018
Link prediction in weighted networks
DK Wind, M Mørup
2012 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2012
212012
Concepts in predictive machine learning
DK Wind
Technical University of Denmark, 1-129, 2014
152014
Offline behaviors of online friends
P Sapiezynski, A Stopczynski, DK Wind, J Leskovec, S Lehmann
arXiv preprint arXiv:1811.03153, 2018
132018
On the number of spanning trees in random regular graphs
C Greenhill, M Kwan, D Wind
arXiv preprint arXiv:1309.6710, 2013
72013
Five ways to make peer feedback effective in your classroom
DK Wind
EdSurge. https://www. edsurge. com/news/2018-02-12-five-ways-to-make-peer …, 2018
52018
Quantifying feedback: Insights into peer assessment data
DK Wind, UA Jensen
Proc. 12th Int. Conf. e-Learning, 256, 2017
42017
Model selection in data analysis competitions
DK Wind, O Winther
21st European Conference on Artificial Intelligence, 55-60, 2014
42014
Optimisation of Car Park Designs
I Wise, R Trim
ARUP (Бристоль, UK), 2013
42013
Optimal allocation of reviewers for peer feedback
DK Wind, UA Jensen, RM Jørgensen, SL Hansen, O Winther
European Conference on e-Learning, 566-573, 2017
32017
String Processing and Information Retrieval: 17th International Symposium, SPIRE 2010, Los Cabos, Mexico, October 11-13, 2010, Proceedings
E Chavez, S Lonardi
Springer, 2010
32010
Statistical Models for Wifi Data and Educational Peer Review
DK Wind
DTU Compute, 2018
22018
Peergrade-Better Feedback For Your Students
DK Wind, RM Jørgensen, SL Hansen
Peergrade. Np, 2017
22017
Supplementary notes for graph theory 1: including solutions for selected weekly exercises
DK Wind
Technical University of Denmark, 2014
12014
Gabor Filter Selection and Computational Processing for Emotion Recognition
E Coşkun, T Elson, S Lim, J Mathews, G Morris, N Nowaczyk, R Prońko, ...
2021
CONCEPTS IN PREDICTIVE MACHINE LEARNING
OW David Kofoed Wind
Thesis, Tech, 2014
2014
A Latent Profile Analysis of Organizational Commitment: Under review
K Schoemmel, DK Wind, T Jønsson
Journal of Managerial Psychology, 2014
2014
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Artikler 1–20