2011

G. Takács, I. Pilászy, and D. Tikk, Applications of the conjugate gradient method for implicit feedback collaborative filtering, 5th ACM Conference on Recommender Systems (RecSys 2011), Chicago, Illinois, USA, 2011.

2010

G. Takács, Z. Horváth, and G. Veres, Fast tomographic reconstruction on parallel hardware, 8th International Conference on Numerical Analysis and Applied Mathematics (ICNAAM 2010), Rhodes, Greece, 2010. [pdf]

G. Takács, Convex polyhedron learning and its applications, PhD thesis, Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics, Budapest, Hungary, 2010. [pdf]

G. Takács, Smooth maximum function based algorithms for classification, regression, and collaborative filtering, Acta Technica Jaurinensis, Series Computatorica Intelligentica, vol. 3., no. 1., pp. 27-63, 2010.

G. Takács, Gaussian transductive regression, Veszprém Optimization Conference: Advanced Algorithms (VOCAL 2010), Veszprém, Hungary, 2010.

2009

G. Takács, I. Pilászy, B. Németh, and D. Tikk, Scalable collaborative filtering approaches for large recommender systems, Journal of Machine Learning Research (Special Topic on Mining and Learning with Graphs and Relations), vol. 10, pp. 623-656, 2009. [pdf] [BibTeX]

J. Sill, G. Takács, L. Mackey, and D. Lin, Feature-weighted linear stacking, arXiv:0911.0460v2, 2009. [pdf]

G. Takács, Efficient algorithms for determining the linear and convex separability of point sets, Acta Technica Jaurinensis, Series Computatorica Intelligentica, vol. 2., no. 2, pp. 287-310, 2009.

G. Takács, The smooth maximum classifier, Abstracts of the 2nd Győr Symposium on Computational Intelligence, pp. 34-36, Győr, Hungary, 2009.

R. Horváth-Bokor, Z. Horváth, and G. Takács, (in Hungarian), Kockázatelemzés logisztikus regresszióval nagy adathalmazokon, 28. Magyar Operációkutatási Konferencia, Balatonőszöd, Hungary, 2009.

2008

G. Takács, I. Pilászy, B. Németh, and D. Tikk, Matrix factorization and neighbor based algorithms for the Netflix Prize problem, Proc. of the 2nd ACM Conference on Recommender Systems (RecSys 2008), pp. 267-274, Lausanne, Switzerland, 2008. [BibTeX]

G. Takács, I. Pilászy, B. Németh, and D. Tikk, Investigation of various matrix factorization methods for large recommender systems, Proc. of the 2nd KDD Workshop on Large Scale Recommender Systems and the Netflix Prize Competition, Las Vegas, Nevada, USA, 2008. [pdf] [BibTeX]

G. Takács, I. Pilászy, B. Németh, and D. Tikk, A unified approach of factor models and neighbor based methods for large recommender systems, Proc. of the 1th IEEE ICADIWT Workshop on Recommender Systems and Personalized Retrieval, pp. 186-191, Ostrava, Czech Republic, 2008. [pdf] [BibTeX]

G. Takács, I. Pilászy, B. Németh, and D. Tikk, Unifying collaborative filtering approaches, Veszprém Optimization Conference: Advanced Algorithms (VOCAL 2008), Veszprém, Hungary, 2008.

2007

G. Takács, I. Pilászy, B. Németh, and D. Tikk, Major components of the Gravity Recommendation System, ACM SIGKDD Explorations Newsletter, vol. 9, no. 2, pp. 80-83, 2007. [pdf] [BibTeX]

G. Takács, I. Pilászy, B. Németh, and D. Tikk, On the Gravity Recommendation System, Proc. of the KDD Cup and Workshop 2007, pp. 22-30, San Jose, California, USA, 2007. [pdf] [BibTeX]

G. Takács and B. Pataki, Case-level detection of mammographic masses, International Journal of Applied Electromagnetics and Mechanics, vol. 25, no. 1-4, pp. 395-400, 2007. [pdf] [BibTeX]

G. Takács, The Vapnik-Chervonenkis dimension of convex n-gon classifiers, Hungarian Electronic Journal of Sciences, 2007. [pdf] [BibTeX]

G. Takács and B. Pataki, Lower bounds on the Vapnik-Chervonenkis dimension of convex polytope classifiers, Proc. of the 11th International Conference on Intelligent Engineering Systems (INES 2007), Budapest, Hungary, 2007. [pdf] [BibTeX]

G. Takács and B. Pataki, Deciding the convex separability of pattern sets, Proc. of the 4th IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS'2007), Dortmund, Germany, 2007.

G. Takács and B. Pataki, An efficient algorithm for deciding the convex separability of point sets, Proc. of the 14th PhD Mini-Symposium, Budapest University of Technology and Economics, Department of Measurement and Information Systems, pp. 54-57, Budapest, Hungary, 2007.

G. Takács and B. Pataki, Nearest local hyperplane rules for pattern classification, AI*IA 2007: Artificial Intelligence and Human-Oriented Computing, pp. 302-313, Rome, Italy, 2007.

G. Takács and B. Pataki, (in Hungarian), A lépcsőzetes döntéshozás elvének műszaki alkalmazásai, Elektronet, vol. 16, no. 8, pp. 76-78, 2007.

2006

M. Altrichter, G. Horváth, B. Pataki, Gy. Strausz, G. Takács and J. Valyon, (in Hungarian), Neurális hálózatok, Panem, 2006.

G. Takács and B. Pataki, Local hyperplane classifiers, Proc. of the 13th PhD Mini-Symposium, Budapest University of Technology and Economics, Department of Measurement and Information Systems, pp. 44-45, Budapest, Hungary, 2006.

2005

G. Takács and B. Pataki, Fast detection of masses in mammograms with difficult case exclusion, International Scientific Journal of Computing, vol. 4, no. 3, pp. 70-75, 2005.

G. Takács and B. Pataki, Case-level detection of mammographic masses, Proc. of the 12th International Symposium on Interdisciplinary Electromagnetic, Mechanic and Biomedical Problems (ISEM 2005), pp. 214-215, Bad Gastein, Austria, 2005.

G. Takács and B. Pataki, Fast detection of mammographic masses with difficult case exclusion, Proc. of the 3rd IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS'2005), pp. 424-428, Sofia, Bulgaria, 2005.

G. Takács and B. Pataki, Computer-aided detection of mammographic masses, Proc. of the 12th PhD Mini-Symposium, Budapest University of Technology and Economics, Department of Measurement and Information Systems, pages 24-25, Budapest, Hungary, 2005.

N. Tóth, G. Takács and B. Pataki, Mass detection in mammograms combining two methods, Proc. of the 3rd European Medical & Biological Engineering Conference (EMBEC'05), Prague, Czech Republic, 2005.

G. Horváth, B. Pataki, Á. Horváth, G. Takács and G. Balogh, Detection of microcalcification clusters in screening mammography, Proc. of the 3rd European Medical & Biological Engineering Conference (EMBEC'05), Prague, Czech Republic, 2005.