Jorn Bakker
Jorn Bakker
Verified email at tue.nl
Title
Cited by
Cited by
Year
What's your current stress level? Detection of stress patterns from GSR sensor data
J Bakker, M Pechenizkiy, N Sidorova
2011 IEEE 11th international conference on data mining workshops, 573-580, 2011
2152011
Stess@ work: From measuring stress to its understanding, prediction and handling with personalized coaching
J Bakker, L Holenderski, R Kocielnik, M Pechenizkiy, N Sidorova
Proceedings of the 2nd ACM SIGHIT International health informatics symposium …, 2012
732012
Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift
M Pechenizkiy, J Bakker, I Žliobaitė, A Ivannikov, T Kärkkäinen
ACM SIGKDD Explorations Newsletter 11 (2), 109-116, 2010
412010
Beating the baseline prediction in food sales: How intelligent an intelligent predictor is?
I Žliobaitė, J Bakker, M Pechenizkiy
Expert Systems with Applications 39 (1), 806-815, 2012
382012
Towards context aware food sales prediction
I Žliobaite, J Bakker, M Pechenizkiy
2009 IEEE International Conference on Data Mining Workshops, 94-99, 2009
202009
Mining exceptional relationships with grammar-guided genetic programming
JM Luna, M Pechenizkiy, S Ventura
Knowledge and Information Systems 47 (3), 571-594, 2016
192016
Handling outliers and concept drift in online mass flow prediction in CFB boilers
J Bakker, M Pechenizkiy, I Žliobaitė, A Ivannikov, T Kärkkäinen
Proceedings of the Third International Workshop on Knowledge Discovery from …, 2009
192009
Food wholesales prediction: What is your baseline?
J Bakker, M Pechenizkiy
International Symposium on Methodologies for Intelligent Systems, 493-502, 2009
102009
Online mass flow prediction in CFB boilers
A Ivannikov, M Pechenizkiy, J Bakker, T Leino, M Jegoroff, T Kärkkäinen, ...
Industrial Conference on Data Mining, 206-219, 2009
102009
OMFP: An approach for online mass flow prediction in CFB boilers
I Žliobaitė, J Bakker, M Pechenizkiy
International Conference on Discovery Science, 272-286, 2009
82009
Finding incident-related social media messages for emergency awareness
A Nieuwenhuijse, J Bakker, M Pechenizkiy
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
2016
Handling abrupt changes in evolving time-series data
J Bakker
Technische Universiteit Eindhoven, 2012
2012
Identifying Lead Users and their Insights on Social Media
A Zíka, M Pechenizkiy, J Bakker
Local Organization Team
S Alers, D Hennes, F Kamiran, E Vasilyeva, J Bakker, M Kaisers, E Knutov, ...
Beating the baseline prediction in food sales: How intelligent an intelligent predictor is?
J Bakker, M Pechenizkiy
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