András Kocsor - researchr alias

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Viewing Publication 1 - 60 from 60

2009

Applying the Generalized Dombi Operator Family to the Speech Recognition TaskGábor Gosztolya, József Dombi, András Kocsor. cit, 17(3):285-293, 2009. [doi]

2008

Tree-Based Algorithms for Protein ClassificationRóbert Busa-Fekete, András Kocsor, Sándor Pongor. In Arpad Kelemen, Ajith Abraham, Yuehui Chen, editors, Computational Intelligence in Bioinformatics. Volume 94 of Studies in Computational Intelligence, pages 165-182, Springer, 2008. [doi]

ROC analysis: applications to the classification of biological sequences and 3D structuresPaolo Sonego, András Kocsor, Sándor Pongor. bib, 9(3):198-209, 2008. [doi]

Large-Scale Maximum Margin Discriminant Analysis Using Core Vector MachinesIvor Wai-Hung Tsang, András Kocsor, James Tin-Yau Kwok. tnn, 19(4):610-624, 2008. [doi]

2007

A Multi-Stack Based Phylogenetic Tree Building MethodRóbert Busa-Fekete, András Kocsor, Csaba Bagyinka. isbra 2007: 49-60 [doi]

Development of a Hungarian Medical Dictation SystemAndrás Bánhalmi, Dénes Paczolay, László Tóth, András Kocsor. informaticaSI, 31(2):241-246, 2007. [doi]

Counter-Example Generation-Based One-Class ClassificationAndrás Bánhalmi, András Kocsor, Róbert Busa-Fekete. ecml 2007: 543-550 [doi]

An Automatic Retraining Method for Speaker Independent Hidden Markov ModelsAndrás Bánhalmi, Róbert Busa-Fekete, András Kocsor. TSD 2007: 382-389 [doi]

Equivalence Learning in Protein ClassificationAttila Kertész-Farkas, András Kocsor, Sándor Pongor. mldm 2007: 824-837 [doi]

Whitening-Based Feature Space Transformations in a Speech Impediment Therapy SystemAndrás Kocsor, Róbert Busa-Fekete, András Bánhalmi. TSD 2007: 222-229 [doi]

Speaker Normalization Via Springy Discriminant Analysis and Pitch EstimationDénes Paczolay, András Bánhalmi, András Kocsor. TSD 2007: 246-253 [doi]

A Protein Classification Benchmark collection for machine learningPaolo Sonego, Mircea Pacurar, Somdutta Dhir, Attila Kertész-Farkas, András Kocsor, Zoltán Gáspári, Jack A. M. Leunissen, Sándor Pongor. nar, 35(Database-Issue):232-236, 2007. [doi]

Simpler core vector machines with enclosing ballsIvor W. Tsang, András Kocsor, James T. Kwok. icml 2007: 911-918 [doi]

A segment-based interpretation of HMM/ANN hybridsLászló Tóth, András Kocsor. csl, 21(3):562-578, 2007. [doi]

2006

Investigating the robustness of a Hungarian medical dictation system under various conditionsAndrás Bánhalmi, Dénes Paczolay, László Tóth, András Kocsor. ijst, 9(3-4):121-131, 2006. [doi]

Named Entity Recognition for Hungarian Using Various Machine Learning AlgorithmsRichárd Farkas, György Szarvas, András Kocsor. actaC, 17(3):633-646, 2006. [doi]

A Hierarchical Evaluation Methodology in Speech RecognitionGábor Gosztolya, András Kocsor. actaC, 17(2):213-224, 2006. [doi]

Hungarian-English Machine Translation Using GenParAndrás Hócza, András Kocsor. TSD 2006: 87-94 [doi]

Application of a simple likelihood ratio approximant to protein sequence classificationLászló Kaján, Attila Kertész-Farkas, Dino Franklin, Neli Ivanova, András Kocsor, Sándor Pongor. bioinformatics, 22(23):2865-2869, 2006. [doi]

Kalman filtering for disease-state estimation from microarray dataJános Z. Kelemen, Attila Kertész-Farkas, András Kocsor, László G. Puskás. bioinformatics, 22(24):3047-3053, 2006. [doi]

Speech Technologies in a Computer-Aided Speech Therapy SystemAndrás Kocsor, Dénes Paczolay. icchp 2006: 615-622 [doi]

The Kernel Topological MachineAndrás Kocsor. dmin 2006: 349-352

Application of compression-based distance measures to protein sequence classification: a methodological studyAndrás Kocsor, Attila Kertész-Farkas, László Kaján, Sándor Pongor. bioinformatics, 22(4):407-412, 2006. [doi]

The use of speed-up techniques for a speech recognizer systemAndrás Kocsor, Gábor Gosztolya. ijst, 9(3-4):95-107, 2006. [doi]

Classification using a sparse combination of basis functionsKornél Kovács, András Kocsor. actaC, 17(2):311-323, 2006. [doi]

Classifier Combination Schemes in Speech Impediment Therapy SystemsDénes Paczolay, László Felföldi, András Kocsor. actaC, 17(2):385-399, 2006. [doi]

A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning AlgorithmsGyörgy Szarvas, Richárd Farkas, András Kocsor. dis 2006: 267-278 [doi]

A highly accurate Named Entity corpus for HungarianGyörgy Szarvas, Richárd Farkas, László Felföldi, András Kocsor, János Csirik. lrec 2006: 1957-1960 [doi]

Efficient kernel feature extraction for massive data setsIvor W. Tsang, András Kocsor, James T. Kwok. kdd 2006: 724-729 [doi]

Diversified SVM Ensembles for Large Data SetsIvor W. Tsang, András Kocsor, James T. Kwok. ecml 2006: 792-800 [doi]

2005

Fundamental frequency estimation by least-squares harmonic model fittingAndrás Bánhalmi, Kornél Kovács, András Kocsor, László Tóth. interspeech 2005: 305-308 [doi]

The Szeged TreebankDóra Csendes, János Csirik, Tibor Gyimóthy, András Kocsor. TSD 2005: 123-131 [doi]

Speeding Up Dynamic Search Methods in Speech RecognitionGábor Gosztolya, András Kocsor. ieaaie 2005: 98-100 [doi]

Learning Syntactic Patterns Using Boosting and Other Classifier Combination SchemasAndrás Hócza, László Felföldi, András Kocsor. TSD 2005: 69-76 [doi]

On Kernel Discriminant Analyses Applied to Phoneme ClassificationAndrás Kocsor. isnn 2005: 357-362 [doi]

POS Tagger Combinations on Hungarian TextAndrás Kuba, László Felföldi, András Kocsor. ijcnlp 2005: [doi]

Client Behaviour Prediction in a Proactive Video ServerPéter Kárpáti, András Kocsor, László Böszörményi. euroimsa 2005: 492-497

Explicit Duration Modelling in HMM/ANN HybridsLászló Tóth, András Kocsor. TSD 2005: 310-317 [doi]

Training HMM/ANN Hybrid Speech Recognizers by Probabilistic SamplingLászló Tóth, András Kocsor. icann 2005: 597-603 [doi]

2004

AHP-Based Classifier CombinationLászló Felföldi, András Kocsor. pris 2004: 45-58

Aggregation Operators and Hypothesis Space Reductions in Speech RecognitionGábor Gosztolya, András Kocsor. TSD 2004: 315-322 [doi]

Application of Kernel-Based Feature Space Transformations and Learning Methods to Phoneme ClassificationAndrás Kocsor, László Tóth. apin, 21(2):129-142, 2004. [doi]

Kernel-based feature extraction with a speech technology applicationAndrás Kocsor, László Tóth. tsp, 52(8):2250-2263, 2004. [doi]

Margin Maximizing Discriminant AnalysisAndrás Kocsor, Kornél Kovács, Csaba Szepesvári. ecml 2004: 227-238 [doi]

Kernel Machine Based Feature Extraction Algorithms for Regression ProblemsCsaba Szepesvári, András Kocsor, Kornél Kovács. ecai 2004: 1091-1092

Telephone Speech Recognition via the Combination of Knowledge Sources in a Segmental Speech ModelLászló Tóth, András Kocsor, Gábor Gosztolya. actaC, 16(4):643-657, 2004. [doi]

Phonetic Level Annotation and Segmentation of Hungarian Speech DatabasesGyula Zsigri, András Kocsor, László Tóth, Györgyi Sejtes. actaC, 16(4):659-673, 2004. [doi]

2003

2002

Kernel Springy Discriminant Analysis and Its Application to a Phonological Awareness Teaching SystemAndrás Kocsor, Kornél Kovács. TSD 2002: 325-328 [doi]

Hungarian Speech Synthesis Using a Phase Exact HNM ApproachKornél Kovács, András Kocsor, László Tóth. sofsem 2002: 181-185 [doi]

2001

A Nonlinearized Discriminant Analysis and Its Application to Speech Impediment TherapyAndrás Kocsor, László Tóth, Dénes Paczolay. TSD 2001: 249-257 [doi]

Fast Independent Component Analysis in Kernel Feature SpacesAndrás Kocsor, János Csirik. sofsem 2001: 271-281 [doi]

Application of Feature Transformation and Learning Methods in Phoneme ClassificationAndrás Kocsor, László Tóth, László Felföldi. ieaaie 2001: 502-512 [doi]

2000

A Comparative Study of Several Feature Transformation and Learning Methods for Phoneme ClassificationAndrás Kocsor, László Tóth, András Kuba, Kornél Kovács, Márk Jelasity, Tibor Gyimóthy, János Csirik. ijst, 3(3-4):263-276, 2000. [doi]

A Discriminative Segmental Speech Model and Its Application to Hungarian Number RecognitionLászló Tóth, András Kocsor, Kornél Kovács. TSD 2000: 307-313 [doi]

1999

Optimal Parameters of a Sinusoidal Representation of SignalsAndrás Kocsor, László Tóth, I. Bálint. actaC, 14(2):315-330, 1999. [doi]

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