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ORCIDPawel Matuszyk
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2020 – today
- 2020
[j4]Vishnu Unnikrishnan
, Christian Beyer, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou:
Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity. Int. J. Data Sci. Anal. 9(1): 1-15 (2020)
2010 – 2019
- 2019
- [c13]Christian Beyer, Vishnu Unnikrishnan, Uli Niemann, Pawel Matuszyk, Eirini Ntoutsi, Myra Spiliopoulou:
Exploiting entity information for stream classification over a stream of reviews. SAC 2019: 564-573 - 2018
- [j3]Juliana Alves Pereira, Pawel Matuszyk, Sebastian Krieter, Myra Spiliopoulou, Gunter Saake:
Personalized recommender systems for product-line configuration processes. Comput. Lang. Syst. Struct. 54: 451-471 (2018) - [j2]Pawel Matuszyk, João Vinagre, Myra Spiliopoulou, Alípio Mário Jorge, João Gama:
Forgetting techniques for stream-based matrix factorization in recommender systems. Knowl. Inf. Syst. 55(2): 275-304 (2018) - [c12]Christian Beyer, Vishnu Unnikrishnan, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou:
Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity. DSAA 2018: 246-255 - [c11]Alípio Jorge, João Vinagre, Pawel Matuszyk, Myra Spiliopoulou:
ORSUM Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 1365-1366 - 2017
- [b1]Pawel Matuszyk:
Selective learning for recommender systems. University of Magdeburg, Germany, 2017 - [j1]Pawel Matuszyk, Myra Spiliopoulou:
Stream-based semi-supervised learning for recommender systems. Mach. Learn. 106(6): 771-798 (2017) - [p1]Pawel Matuszyk:
Selektives Lernen für Empfehlungsmaschinen. Ausgezeichnete Informatikdissertationen 2017: 161-170 - 2016
- [c10]Alípio M. Jorge, João Vinagre, Marcos Aurélio Domingues, João Gama, Carlos Soares, Pawel Matuszyk, Myra Spiliopoulou:
Scalable Online Top-N Recommender Systems. EC-Web 2016: 3-20 - [c9]Juliana Alves Pereira, Pawel Matuszyk, Sebastian Krieter, Myra Spiliopoulou, Gunter Saake:
A feature-based personalized recommender system for product-line configuration. GPCE 2016: 120-131 - 2015
- [c8]Pawel Matuszyk, Myra Spiliopoulou:
Semi-supervised Learning for Stream Recommender Systems. Discovery Science 2015: 131-145 - [c7]Pawel Matuszyk, João Vinagre, Myra Spiliopoulou, Alípio Mário Jorge, João Gama:
Forgetting methods for incremental matrix factorization in recommender systems. SAC 2015: 947-953 - 2014
- [c6]Pawel Matuszyk, Myra Spiliopoulou:
Selective Forgetting for Incremental Matrix Factorization in Recommender Systems. Discovery Science 2014: 204-215 - [c5]Pawel Matuszyk, Myra Spiliopoulou:
Hoeffding-CF: Neighbourhood-Based Recommendations on Reliably Similar Users. UMAP 2014: 146-157 - [c4]Pawel Matuszyk, Myra Spiliopoulou:
Predicting the Performance of Collaborative Filtering Algorithms. WIMS 2014: 38:1-38:6 - 2013
- [c3]Pawel Matuszyk, Georg Krempl, Myra Spiliopoulou:
Correcting the Usage of the Hoeffding Inequality in Stream Mining. IDA 2013: 298-309 - [c2]Pawel Matuszyk, Myra Spiliopoulou:
Framework for Storing and Processing Relational Entities in Stream Mining. PAKDD (2) 2013: 497-508 - 2012
- [c1]René Schult, Pawel Matuszyk, Myra Spiliopoulou:
Framework for Computer Aided Analysis of Medical Protocols in a Hospital. HEALTHINF 2012: 225-230
Coauthor Index
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