Articles with public access mandates - Arno KnobbeLearn more
Available somewhere: 30
Exceptional Model Mining: Supervised descriptive local pattern mining with complex target concepts
W Duivesteijn, AJ Feelders, A Knobbe
Data Mining and Knowledge Discovery 30, 47-98, 2016
Mandates: German Research Foundation, Netherlands Organisation for Scientific Research
Unlocking the potential of big data to support tactical performance analysis in professional soccer: A systematic review
FR Goes, LA Meerhoff, MJO Bueno, DM Rodrigues, FA Moura, MS Brink, ...
European Journal of Sport Science 21 (4), 481-496, 2021
Mandates: Netherlands Organisation for Scientific Research
From local patterns to global models: the LeGo approach to data mining
A Knobbe, B Crémilleux, J Fürnkranz, M Scholz
From local patterns to global models: Proceedings of the ECML/PKDD-08 …, 2008
Mandates: German Research Foundation
A defect classification methodology for sewer image sets with convolutional neural networks
D Meijer, L Scholten, F Clemens, A Knobbe
Automation in Construction 104, 281-298, 2019
Mandates: Netherlands Organisation for Scientific Research
Entropy-based discretization methods for ranking data
CR De Sá, C Soares, A Knobbe
Information Sciences 329, 921-936, 2016
Mandates: Fundação para a Ciência e a Tecnologia, Portugal
Activity recognition using wearable sensors for tracking the elderly
S Paraschiakos, R Cachucho, M Moed, D van Heemst, S Mooijaart, ...
User Modeling and User-Adapted Interaction 30 (3), 567-605, 2020
Mandates: Netherlands Organisation for Scientific Research, Netherlands Organisation …
Label ranking forests
CR de Sá, C Soares, A Knobbe, P Cortez
Expert systems 34 (1), e12166, 2017
Mandates: National Natural Science Foundation of China, Fundação para a Ciência e a …
Sports analytics for professional speed skating
A Knobbe, J Orie, N Hofman, B Van der Burgh, R Cachucho
Data Mining and Knowledge Discovery 31 (6), 1872-1902, 2017
Mandates: Netherlands Organisation for Scientific Research
Efficient algorithms for finding richer subgroup descriptions in numeric and nominal data
M Mampaey, S Nijssen, A Feelders, A Knobbe
2012 IEEE 12th International Conference on Data Mining, 499-508, 2012
Mandates: Research Foundation (Flanders)
Exceptional preferences mining
C Rebelo de Sá, W Duivesteijn, C Soares, A Knobbe
International Conference on Discovery Science, 3-18, 2016
Mandates: Fundação para a Ciência e a Tecnologia, Portugal, European Commission
MDL-based analysis of time series at multiple time-scales
U Vespier, A Knobbe, S Nijssen, J Vanschoren
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012
Mandates: Research Foundation (Flanders)
Guest editorial: Global modeling using local patterns
J Fürnkranz, A Knobbe
Data Mining and Knowledge Discovery 21, 1-8, 2010
Mandates: German Research Foundation
Efficient algorithms for finding optimal binary features in numeric and nominal labeled data
M Mampaey, S Nijssen, A Feelders, R Konijn, A Knobbe
Knowledge and Information Systems 42, 465-492, 2015
Mandates: Research Foundation (Flanders)
Modeling match performance in elite volleyball players: importance of jump load and strength training characteristics
AW de Leeuw, R van Baar, A Knobbe, S van der Zwaard
Sensors 22 (20), 7996, 2022
Mandates: Netherlands Organisation for Health Research and Development
ROCsearch — An ROC-guided Search Strategy for Subgroup Discovery
M Meeng, W Duivesteijn, A Knobbe
Proceedings of the 2014 SIAM International Conference on Data Mining, 704-712, 2014
Mandates: German Research Foundation
Dynamic time warping clustering to discover socioeconomic characteristics in smart water meter data
DB Steffelbauer, EJM Blokker, SG Buchberger, A Knobbe, E Abraham
Journal of Water Resources Planning and Management 147 (6), 04021026, 2021
Mandates: European Commission
Preference rules for label ranking: Mining patterns in multi-target relations
CR de Sá, P Azevedo, C Soares, AM Jorge, A Knobbe
Information Fusion 40, 112-125, 2018
Mandates: Fundação para a Ciência e a Tecnologia, Portugal
Predefined pattern detection in large time series
S Miao, U Vespier, R Cachucho, M Meeng, A Knobbe
Information Sciences 329, 950-964, 2016
Mandates: Netherlands Organisation for Scientific Research
Multi-label LeGo—enhancing multi-label classifiers with local patterns
W Duivesteijn, E Loza Mencía, J Fürnkranz, A Knobbe
Advances in Intelligent Data Analysis XI: 11th International Symposium, IDA …, 2012
Mandates: German Research Foundation
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring
AW de Leeuw, M Heijboer, T Verdonck, A Knobbe, S Latré
Data Mining and Knowledge Discovery 37 (3), 1125-1153, 2023
Mandates: Netherlands Organisation for Health Research and Development
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