Domonkos Tikk
Domonkos Tikk
Gravity R&D
Email verificata su gravityrd.com
TitoloCitata daAnno
Scalable collaborative filtering approaches for large recommender systems
G Takács, I Pilászy, B Németh, D Tikk
Journal of machine learning research 10 (Mar), 623-656, 2009
4602009
Session-based recommendations with recurrent neural networks
B Hidasi, A Karatzoglou, L Baltrunas, D Tikk
arXiv preprint arXiv:1511.06939, 2015
2922015
Comprehensive analysis of a new fuzzy rule interpolation method
D Tikk, P Baranyi
IEEE Transactions on Fuzzy Systems 8 (3), 281-296, 2000
1862000
From differential equations to PDC controller design via numerical transformation
P Baranyi, D Tikk, Y Yam, RJ Patton
Computers in Industry 51 (3), 281-297, 2003
1822003
A comprehensive benchmark of kernel methods to extract protein–protein interactions from literature
D Tikk, P Thomas, P Palaga, J Hakenberg, U Leser
PLoS computational biology 6 (7), e1000837, 2010
1662010
Investigation of various matrix factorization methods for large recommender systems
G Takács, I Pilászy, B Németh, D Tikk
2008 IEEE International Conference on Data Mining Workshops, 553-562, 2008
1532008
Recommending new movies: even a few ratings are more valuable than metadata
I Pilászy, D Tikk
Proceedings of the third ACM conference on Recommender systems, 93-100, 2009
1492009
Matrix factorization and neighbor based algorithms for the Netflix prize problem
G Takács, I Pilászy, B Németh, D Tikk
Proceedings of the 2008 ACM conference on Recommender systems, 267-274, 2008
1482008
Fuzzy rule interpolation for multidimensional input spaces with applications: A case study
KW Wong, D Tikk, TD Gedeon, LT Kóczy
IEEE transactions on fuzzy systems 13 (6), 809-819, 2005
1452005
Major components of the Gravity recommendation system
G Takács, I Pilászy, B Németh, D Tikk
ACM SIGKDD Explorations Newsletter 9 (2), 80-83, 2007
1422007
Fast ALS-based matrix factorization for explicit and implicit feedback datasets
I Pilászy, D Zibriczky, D Tikk
Proceedings of the fourth ACM conference on Recommender systems, 71-78, 2010
1272010
A survey on universal approximation and its limits in soft computing techniques
D Tikk, LT Kóczy, TD Gedeon
International Journal of Approximate Reasoning 33 (2), 185-202, 2003
1162003
Alternating least squares for personalized ranking
G Takács, D Tikk
Proceedings of the sixth ACM conference on Recommender systems, 83-90, 2012
1052012
Fast ALS based tensor factorization for context-aware recommendation from implicit feedback
B Hidasi, D Tikk
Proceedings of the 2012 European conference on Machine Learning and …, 2012
1012012
On the Gravity recommendation system
G Takacs, I Pilaszy, B Nemeth, D Tikk
Proceedings of KDD cup and workshop, 22-30, 2007
942007
Stability of interpolative fuzzy KH controllers
D Tikk, I Joó, L Kóczy, P Várlaki, B Moser, TD Gedeon
Fuzzy Sets and Systems 125 (1), 105-119, 2002
912002
Parallel recurrent neural network architectures for feature-rich session-based recommendations
B Hidasi, M Quadrana, A Karatzoglou, D Tikk
Proceedings of the 10th ACM Conference on Recommender Systems, 241-248, 2016
882016
Fuzzy rule interpolation Matlab toolbox-FRI toolbox
ZC Johanyák, D Tikk, S Kovács, KW Wong
2006 IEEE International Conference on Fuzzy Systems, 351-357, 2006
812006
Fuzzy rendszerek
LT Kóczy, D Tikk
Typotex, 2000
71*2000
Relation extraction for drug-drug interactions using ensemble learning
P Thomas, M Neves, I Solt, D Tikk, U Leser
Training 4 (2,402), 21,425-23,827, 2011
642011
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
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