D. Tikk

发表

Scalable Collaborative Filtering Approaches for Large Recommender Systems

Domonkos Tikk, Gábor Takács, István Pilászy, 2009, J. Mach. Learn. Res..

On the Gravity Recommendation System

G. Takács, I. Pilászy, B. Németh, 2007 .

KDD Cup and Workshop 2007

Padhraic Smyth, Charles Elkan, Bing Liu, 2007, KDD '07.

Recommender systems challenge 2012

Katrien Verbert, Hendrik Drachsler, Alan Said, 2012, RecSys '12.

A new method for avoiding abnormal conclusion for /spl alpha/-cut based rule interpolation

D. Tikk, Y. Yam, L. Kóczy, 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

New method for avoiding abnormal conclusion for α-cut based rule interpolation

D. Tikk, Y. Yam, L. Kóczy, 1999 .

Stability of a new interpolation method

D. Tikk, Y. Yam, L. Kóczy, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Stability of interpolative fuzzy KH-controllers

D. Tikk, P. Várlaki, I. Joó, 1997, Proceedings of 6th International Fuzzy Systems Conference.

Major components of the gravity recommendation system

Domonkos Tikk, Gábor Takács, István Pilászy, 2007, SKDD.

A Feature Ranking Algorithm for Fuzzy Modelling Problems

Kok Wai Wong, D. Tikk, Tom Gedeon, 2003 .

APPROXIMATION PROPERTIES OF TP MODEL FORMS AND ITS CONSEQUENCES TO TPDC DESIGN FRAMEWORK

R. Patton, D. Tikk, P. Baranyi, 2007 .

A new algorithm for RNO-INO type tensor product model representation

D. Tikk, P. Baranyi, P. Várkonyi, 2005, 2005 IEEE International Conference on Intelligent Engineering Systems, 2005. INES '05..

On Fuzzy Controllers Having Radial Basis Transfer Functions

D. Tikk, L. Kóczy, Tom Gedeon, 2003 .

Exact trade-off between approximation accuracy and interpretability: solving the saturation problem for certain FRBSs

D. Tikk, P. Baranyi, 2003 .

Notes on the approximation rate of KH controllers 1

D. Tikk, 2001 .

Stability of interpolative fuzzy KH controllers 1

D. Tikk, L. Kóczy, P. Várlaki, 2000 .

A feature ranking algorithm for problems with output of continuous range

Kok Wai Wong, Domonkos Tikk, Tom Gedeon, 2003 .

Automatic TS-model representation of analytic differential equations for Tanaka's LMI based control design

R. Patton, D. Tikk, P. Baranyi, 2002, IEEE International Conference on Systems, Man and Cybernetics.

A Feature Ranking Technique Based on Interclass Separability for Fuzzy Modeling

Kok Wai Wong, D. Tikk, 2007, 2007 IEEE International Conference on Computational Cybernetics.

Categorizing Gigabytes: Experiments on the RCV1 Corpus

D. Tikk, Z. Bánsághi, G. Biró, 2005 .

AusDM 2009 Analytic Challenge The Challenge

Lester W. Mackey, Y. Koren, G. Takács, 2009 .

Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems

Lior Rokach, Alexandros Karatzoglou, Balázs Hidasi, 2016, DLRS.

Generalisation and properties of the modified rule interpolation method

Peter Baranyi, Domonkos Tikk, Tom Gedeon, 2000 .

Simple tricks for improving pattern-based information extraction from the biomedical literature

U. Leser, D. Tikk, Quang Long Nguyen, 2010, J. Biomed. Semant..

Experiments with HITEC : a Hierarchical Text Categorizer ∗

D. Tikk, G. Biró, 2003 .

Text categorization on a multi-lingual corpus

D. Tikk, G. Biró, 2003 .

A detailed error analysis of 13 kernel methods for protein–protein interaction extraction

U. Leser, D. Tikk, Philippe E. Thomas, 2013, BMC Bioinformatics.

A survey on universal approximation and its limits in soft computing techniques

László T. Kóczy, Tamás D. Gedeon, Domonkos Tikk, 2003, Int. J. Approx. Reason..

A Comprehensive Benchmark of Kernel Methods to Extract Protein–Protein Interactions from Literature

Ulf Leser, Jörg Hakenberg, Domonkos Tikk, 2010, PLoS Comput. Biol..

Overview of ACM RecSys CrowdRec 2015 Workshop: Crowdsourcing and Human Computation for Recommender Systems

Martha Larson, Roberto Turrin, Domonkos Tikk, 2015, RecSys.

Trade-off between approximation accuracy and complexity: TS controller design via HOSVD based complexity minimization

Yeung Yam, Ron J. Patton, Peter Baranyi, 2003 .

Minimizing TS controller via HOSVD

Yeung Yam, P. Baranyi, D. Tikk, 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

Session-based Recommendations with Recurrent Neural Networks pdf

Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, 2015, ICLR.

Fuzzy rule interpolation for multidimensional input spaces with applications: a case study

László T. Kóczy, Tamás D. Gedeon, Kevin Kok Wai Wong, 2005, IEEE Transactions on Fuzzy Systems.

Comprehensive analysis of a new fuzzy rule interpolation method

Péter Baranyi, Domonkos Tikk, D. Tikk, 2000, IEEE Trans. Fuzzy Syst..

A detailed error analysis of 13 kernel methods for protein–protein interaction extraction

Ulf Leser, Domonkos Tikk, Philippe Thomas, 2013, BMC Bioinformatics.

Relation Extraction for Drug-Drug Interactions using Ensemble Learning

Ulf Leser, Philippe Thomas, Domonkos Tikk, 2011 .

Improvement of the Cluster Searching Algorithm in Sugeno and Yasukawa's Qualitative Modeling Approach

László T. Kóczy, Tamás D. Gedeon, Kevin Kok Wai Wong, 2001, Fuzzy Days.

Computer-assisted curation of a human regulatory core network from the biological literature

Bertram Klinger, Nils Blüthgen, Ulf Leser, 2015, Bioinform..

On nowhere denseness of certain fuzzy controllers containing prerestricted number of rules ∗

Domonkos Tikk, D. Tikk, 2001 .

Exploring the use of fuzzy signature for text mining

Kevin Kok Wai Wong, Domonkos Tikk, Todsanai Chumwatana, 2010, International Conference on Fuzzy Systems.

From differential equations to PDC controller design via numerical transformation

Yeung Yam, Ron J. Patton, Péter Baranyi, 2003, Comput. Ind..

Applications of the conjugate gradient method for implicit feedback collaborative filtering

Domonkos Tikk, Gábor Takács, István Pilászy, 2011, RecSys '11.

Alternating least squares for personalized ranking

Domonkos Tikk, Gábor Takács, G. Takács, 2012, RecSys.

Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations

Alexandros Karatzoglou, Balázs Hidasi, Massimo Quadrana, 2016, RecSys.

Fuzzy Rule Interpolation and Extrapolation Techniques: Criteria and Evaluation Guidelines

Kevin Kok Wai Wong, Domonkos Tikk, Zsolt Csaba Johanyák, 2011, J. Adv. Comput. Intell. Intell. Informatics.

Approximation of Transfer Functions by Various Fuzzy Controllers

L. T. Kóczy, D. Tikk, D. Tikk, 1998 .

Fuzzy Rule Interpolation Matlab Toolbox - FRI Toolbox

Kevin Kok Wai Wong, Domonkos Tikk, Zsolt Csaba Johanyák, 2006, 2006 IEEE International Conference on Fuzzy Systems.

A survey of fuzzy interpolation techniques 1

László T. Kóczy, Domonkos Tikk, D. Tikk, 2005 .

Notes on the approximation rate of fuzzy KH interpolators

Domonkos Tikk, D. Tikk, 2003, Fuzzy Sets Syst..

A fuzzy interpolation algorithm closed over CNF sets

Peter Baranyi, Tom Gedeon, D. Tikk, 2002 .

On a stable and always applicable interpolation method

L.T. Koczy, P. Baranyi, D. Tikk, 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

/spl alpha/-cut interpolation technique in the space of regular conclusion

L.T. Koczy, P. Baranyi, D. Tikk, 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

Constructing hierarchical fuzzy rule bases for classification

Tamás D. Gedeon, Kevin Kok Wai Wong, Domonkos Tikk, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

1 On functional equivalence of certain fuzzy controllers and RBF type approximation schemes ?

László T. Kóczy, Tamás D. Gedeon, Domonkos Tikk, 2000 .

Stability of interpolative fuzzy KH controllers

László T. Kóczy, Tamás D. Gedeon, Péter Várlaki, 2002, Fuzzy Sets Syst..

General factorization framework for context-aware recommendations

Balázs Hidasi, Domonkos Tikk, Balázs Hidasi, 2014, Data Mining and Knowledge Discovery.

The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems

Martha Larson, Alexandros Karatzoglou, Roberto Pagano, 2016, RecSys.

Speeding up ALS learning via approximate methods for context-aware recommendations

Balázs Hidasi, D. Tikk, 2016, Knowledge and Information Systems.

Approximate modeling of continuous context in factorization algorithms

Domonkos Tikk, Balázs Hidasi, Balázs Hidasi, 2014, CARR '14.

Context-aware recommendations from implicit data via scalable tensor factorization pdf

Balázs Hidasi, Domonkos Tikk, Balázs Hidasi, 2013, ArXiv.

Context-aware item-to-item recommendation within the factorization framework

Domonkos Tikk, Balázs Hidasi, Balázs Hidasi, 2013, CaRR '13.

Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback pdf

Balázs Hidasi, Domonkos Tikk, Balázs Hidasi, 2012, ECML/PKDD.

Not all links are equal: Exploiting Dependency Types for the Extraction of Protein-Protein Interactions from Text

Ulf Leser, Domonkos Tikk, Philippe Thomas, 2011, BioNLP@ACL.

Molecular event extraction from Link Grammar parse trees

Ulf Leser, Astrid Rheinländer, Jörg Hakenberg, 2009, BioNLP@HLT-NAACL.

Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation

Alan Said, Alejandro Bellogín, Pablo Castells, 2013 .

Polytopic and TS models are nowhere dense in the approximation model space

Ron J. Patton, Peter Baranyi, Domonkos Tikk, 2002, IEEE International Conference on Systems, Man and Cybernetics.

Universal approximation and its limits in soft computing techniques. An ovewview

Domonkos Tikk, Tom Gedeon, Laszlo T. Koczy, 2001 .

Recommending new movies: even a few ratings are more valuable than metadata

Domonkos Tikk, István Pilászy, I. Pilászy, 2009, RecSys '09.

Generalisation of a Rule Interpolation Method Resulting Always in Acceptable Conclusion

Peter Baranyi, Tom Gedeon, Domonkos Tikk, 2000 .

Improvements and critique on Sugeno's and Yasukawa's qualitative modeling

László T. Kóczy, Tamás D. Gedeon, Jae Dong Yang, 2002, IEEE Trans. Fuzzy Syst..

Implementation details of problems in Sugeno and Yasukawa's qualitative modelling

Domonkos Tikk, György Biró, Laszlo T. Koczy, 2001 .

Experiments with multi-label text classifier on the Reuters collection

Domonkos Tikk, D. Tikk, 2003 .

Matrix factorization and neighbor based algorithms for the netflix prize problem

Domonkos Tikk, Gábor Takács, István Pilászy, 2008, RecSys '08.

Factorization-Based Large Scale Recommendation Algorithms

Tadeusz P. Dobrowiecki, Domonkos Tikk, D. Tikk, 2009 .

The Ferrety algorithm for the KDD Cup 2005 problem

Domonkos Tikk, Zsolt Tivadar Kardkovács, Zoltán Bánsághi, 2005, SKDD.

Fast als-based matrix factorization for explicit and implicit feedback datasets

Domonkos Tikk, István Pilászy, Dávid Zibriczky, 2010, RecSys '10.

Research Paper: Semantic Classification of Diseases in Discharge Summaries Using a Context-aware Rule-based Classifier

Domonkos Tikk, Zsolt Tivadar Kardkovács, Illés Solt, 2009, J. Am. Medical Informatics Assoc..

Recurrent neural networks

Balázs Hidasi, D. Tikk, Alexandros Karatzoglou, 2013, Scholarpedia.

Session-based Recommendations with Recurrent Neural Networks

Balázs Hidasi, D. Tikk, Alexandros Karatzoglou, 2015, ICLR.

A fast and effective dependency graph kernel for PPI relation extraction

Ulf Leser, Domonkos Tikk, Peter Palaga, 2010, BMC Bioinformatics.

Recurrent Neural Networks

Balázs Hidasi, D. Tikk, Alexandros Karatzoglou, 2021, Computer Science Today.

Investigation of Various Matrix Factorization Methods for Large Recommender Systems

Domonkos Tikk, Gábor Takács, István Pilászy, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Activating the Crowd: Exploiting User-Item Reciprocity for Recommendation

Martha Larson, Frank Hopfgartner, Alexandros Karatzoglou, 2013 .

User-Item Reciprocity in Recommender Systems: Incentivizing the Crowd

Martha Larson, Frank Hopfgartner, Alexandros Karatzoglou, 2014, UMAP Workshops.

Improving textual medication extraction using combined conditional random fields and rule-based systems

Domonkos Tikk, Illés Solt, D. Tikk, 2010, J. Am. Medical Informatics Assoc..

KDD Cup and workshop 2007

Padhraic Smyth, Charles Elkan, Bing Liu, 2007, SKDD.

MOLECULAR EVENT EXTRACTION FROM LINK GRAMMAR PARSE TREES IN THE BIONLP’09 SHARED TASK

Ulf Leser, Chitta Baral, Luis Tari, 2011, Comput. Intell..

Supervised training algorithms for B-spline neural networks and fuzzy systems

L.T. Koczy, D. Tikk, A.E. Ruano, 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

Recurrent Neural Networks

Balázs Hidasi, D. Tikk, Alexandros Karatzoglou, 2020, Handbook on Neural Information Processing.

Computer-assisted curation of a human regulatory core network from the biological literature

U. Leser, D. Tikk, N. Blüthgen, 2015, Bioinform..

Intelligent Well Log Data Analysis: A Comparison Study

Tamás D. Gedeon, Kevin Kok Wai Wong, Domonkos Tikk, 2002, FSKD.

Simple tricks for improving pattern-based information extraction from the biomedical literature

Ulf Leser, Domonkos Tikk, Quang Long Nguyen, 2010, J. Biomed. Semant..

Investigation of Various Matrix Factorization Methods for Large Recommender Systems

G. Takács, I. Pilászy, B. Németh, 2008, 2008 IEEE International Conference on Data Mining Workshops.

Approximation capability of TP model forms

József K. Tar, Ron J. Patton, Péter Baranyi, 2004, Aust. J. Intell. Inf. Process. Syst..

Visualization of movie features in collaborative filtering

Domonkos Tikk, Gábor Takács, István Pilászy, 2013, 2013 IEEE 12th International Conference on Intelligent Software Methodologies, Tools and Techniques (SoMeT).

Recommender Systems Evaluation: A 3D Benchmark

Martha Larson, Alan Said, Paolo Cremonesi, 2012, RUE@RecSys.

Enhancing matrix factorization through initialization for implicit feedback databases

Domonkos Tikk, Balázs Hidasi, Balázs Hidasi, 2012, CaRR '12.

Comparative evaluation of recommender systems for digital media

Martha Larson, Roberto Turrin, Alan Said, 2014 .

Benchmarking - A Methodology for Ensuring the Relative Quality of Recommendation Systems in Software Engineering

D. Tikk, A. Said, P. Cremonesi, 2014, Recommendation Systems in Software Engineering.

Initializing Matrix Factorization Methods on Implicit Feedback Databases

Balázs Hidasi, Domonkos Tikk, Balázs Hidasi, 2013, J. Univers. Comput. Sci..

DLRS 2017: Second Workshop on Deep Learning for Recommender Systems

Alexandros Karatzoglou, Sander Dieleman, Balázs Hidasi, 2017, RecSys.