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Tomás Horváth
2010 – today
- 2013
[c18]Stefan Pero, Tomás Horváth: Opinion-Driven Matrix Factorization for Rating Prediction. UMAP 2013: 1-13- 2012
- [j4]Krisztian Buza, Alexandros Nanopoulos, Tomás Horváth, Lars Schmidt-Thieme: GRAMOFON: General model-selection framework based on networks. Neurocomputing 75(1): 163-170 (2012)
- [c17]Lenka Pisková, Stefan Pero, Tomás Horváth, Stanislav Krajci: Mining Concepts from Incomplete Datasets Utilizing Matrix Factorization. CLA 2012: 33-44
- [c16]Ruth Janning, Tomás Horváth, Andre Busche, Lars Schmidt-Thieme: GamRec: A Clustering Method Using Geometrical Background Knowledge for GPR Data Preprocessing. AIAI (1) 2012: 347-356
- [c15]Lucas Drumond, Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme: Factorization techniques for student performance classification and ranking. UMAP Workshops 2012
- [c14]Nguyen Thai-Nghe, Lucas Drumond, Tomás Horváth, Lars Schmidt-Thieme: Using factorization machines for student modeling. UMAP Workshops 2012
- [e1]Tomás Horváth (Ed.): Proceedings of the Conference on Theory and Practice of Information Technologies, Belianske Tatry, Slovak Republic, September 17-21, 2012. CEUR Workshop Proceedings 990, CEUR-WS.org 2012
- 2011
- [c13]Nguyen Thai-Nghe, Lucas Drumond, Tomás Horváth, Alexandros Nanopoulos, Lars Schmidt-Thieme: Matrix and Tensor Factorization for Predicting Student Performance. CSEDU (1) 2011: 69-78
- [c12]Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme: Factorization Models for Forecasting Student Performance. EDM 2011: 11-20
- [c11]Nguyen Thai-Nghe, Tomás Horváth, Lars Schmidt-Thieme: Personalized Forecasting Student Performance. ICALT 2011: 412-414
2000 – 2009
- 2009
- [j3]Tomás Horváth: A Model of User Preference Learning for Content-Based Recommender Systems. Computing and Informatics 28(4): 453-481 (2009)
- [j2]Peter Gurský, Tomás Horváth, Peter Vojtás, Jozef Jirásek, Stanislav Krajci, Robert Novotny, Jana Pribolová, Veronika Vaneková: User Preference Web Search -- Experiments with a System Connecting Web and User. Computing and Informatics 28(4): 515-553 (2009)
- 2008
- [j1]Peter Gurský, Tomás Horváth, Jozef Jirásek, Robert Novotny, Jana Pribolová, Veronika Vaneková, Peter Vojtás: Knowledge Processing for Web Search - An Integrated Model and Experiments. Scalable Computing: Practice and Experience 9(1) (2008)
- [c10]Alan Eckhardt, Tomás Horváth, Dusan Maruscák, Robert Novotny, Peter Vojtás: Uncertainty Issues and Algorithms in Automating Process Connecting Web and User. URSW (LNCS Vol.) 2008: 207-223
- 2007
- [c9]Peter Gurský, Tomás Horváth, Jozef Jirásek, Stanislav Krajci, Robert Novotny, Veronika Vaneková, Peter Vojtás: Knowledge Processing for Web Search - An Integrated Model. IDC 2007: 96-104
- [c8]Alan Eckhardt, Tomás Horváth, Dusan Maruscák, Robert Novotny, Peter Vojtás: Uncertainty Issues in Automating Process Connecting Web and User. URSW 2007
- [c7]Alan Eckhardt, Tomás Horváth, Peter Vojtás: Learning Different User Profile Annotated Rules for Fuzzy Preference Top-k Querying. SUM 2007: 116-130
- [c6]Alan Eckhardt, Tomás Horváth, Peter Vojtás: PHASES: A User Profile Learning Approach for Web Search. Web Intelligence 2007: 780-783
- 2006
- [c5]
- [c4]Tomás Horváth, Peter Vojtás: Ordinal Classification with Monotonicity Constraints. Industrial Conference on Data Mining 2006: 217-225
- [c3]Peter Gurský, Tomás Horváth, Robert Novotny, Veronika Vaneková, Peter Vojtás: UPRE: User Preference Based Search System. Web Intelligence 2006: 841-844
- 2004
- [c2]Tomás Horváth, Peter Vojtás: Fuzzy Induction via Generalized Annotated Programs. Fuzzy Days 2004: 419-433
- [c1]Tomás Horváth, Frantisek Sudzina, Peter Vojtás: Mining Rules from Monotone Classification Measuring Impact of Information Systems on Business Competitiveness. BASYS 2004: 451-458
Coauthor Index
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last updated on 2013-10-02 11:05 CEST by the dblp team