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ORCIDGábor Takács
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2020 – today
- 2022
[j10]D. X. Horváth, K. Hódsági, Gábor Takács
:
Chirally factorised truncated conformal space approach. Comput. Phys. Commun. 277: 108376 (2022)- 2020
- [j9]György Bognár, Gábor Takács, Péter G. Szabó, Gábor Rózsás, László Pohl, Balázs Plesz:
Integrated Thermal Management in System-on-Package Devices. Period. Polytech. Electr. Eng. Comput. Sci. 64(2): 200-210 (2020)
2010 – 2019
- 2017
- [j8]Gábor Takács, György Bognár, Eniko Bándy, Gábor Rózsás, Péter G. Szabó:
Fabrication and characterization of microscale heat sinks. Microelectron. Reliab. 79: 480-487 (2017) - 2016
- [j7]Gábor Takács, Péter G. Szabó, György Bognár:
Enhanced thermal characterization method of microscale heatsink structures. Microelectron. Reliab. 67: 21-28 (2016) - 2015
- [j6]György Bognár, Péter G. Szabó, Gábor Takács:
Generalization of the thermal model of infrared radiation sensors. Microelectron. J. 46(6): 543-550 (2015) - [j5]Gábor Takács, Péter G. Szabó, György Bognár:
Thermal management in System-on-Package structures by applying microscale heat sink. Part I: Consideration of the appropriate channel length of microscale heat sink(s). Microelectron. J. 46(12): 1202-1207 (2015) - 2014
- [j4]Gábor Takács, Péter G. Szabó, Balázs Plesz, György Bognár:
Improved thermal characterization method of integrated microscale heat sinks. Microelectron. J. 45(12): 1740-1745 (2014) - [c9]Christian Kiss-Toth, Gábor Takács:
A dynamic programming approach for 4D flight route optimization. IEEE BigData 2014: 24-28 - [c8]Gábor Takács:
Predicting flight arrival times with a multistage model. IEEE BigData 2014: 78-84 - 2013
- [c7]Bottyán Németh, Gábor Takács, István Pilászy, Domonkos Tikk:
Visualization of movie features in collaborative filtering. SoMeT 2013: 229-233 - 2012
- [c6]Gábor Takács, Domonkos Tikk:
Alternating least squares for personalized ranking. RecSys 2012: 83-90 - 2011
- [c5]Orsolya Horvath, Gábor Takács:
Predictor set optimization for collaborative filtering. IDAACS (1) 2011: 404-407 - [c4]Gábor Takács, István Pilászy, Domonkos Tikk:
Applications of the conjugate gradient method for implicit feedback collaborative filtering. RecSys 2011: 297-300 - 2010
- [b1]Gábor Takács:
Konvex poliéder tanulás és alkalmazásai. Budapest University of Technology and Economics, Hungary, 2010
2000 – 2009
- 2009
- [j3]Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk:
Scalable Collaborative Filtering Approaches for Large Recommender Systems. J. Mach. Learn. Res. 10: 623-656 (2009) - [i1]Joseph Sill, Gábor Takács, Lester W. Mackey, David Lin:
Feature-Weighted Linear Stacking. CoRR abs/0911.0460 (2009) - 2008
- [c3]Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk:
Investigation of Various Matrix Factorization Methods for Large Recommender Systems. ICDM Workshops 2008: 553-562 - [c2]Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk:
Matrix factorization and neighbor based algorithms for the netflix prize problem. RecSys 2008: 267-274 - 2007
- [j2]Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk:
Major components of the gravity recommendation system. SIGKDD Explor. 9(2): 80-83 (2007) - [c1]Gábor Takács, Béla Pátkai:
Nearest Local Hyperplane Rules for Pattern Classification. AI*IA 2007: 302-313 - 2005
- [j1]Gábor Takács, Béla Pataki:
Fast Detection of Masses in Mammograms with Difficult Case Exclusion. Int. J. Comput. 4(3): 70-75 (2005)
Coauthor Index
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