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ORCIDAndrás Kocsor
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2000 – 2009
- 2009
[j27]Gábor Gosztolya, József Dombi, András Kocsor:
Applying the Generalized Dombi Operator Family to the Speech Recognition Task. J. Comput. Inf. Technol. 17(3): 285-293 (2009)- 2008
- [j26]András Bánhalmi, András Kocsor:
An On-line Speaker Adaptation Method for HMM-based Speech Recognizers. Acta Cybern. 18(3): 379-390 (2008) - [j25]Róbert Busa-Fekete, András Kocsor:
Extracting Human Protein Information from MEDLINE Using a Full-Sentence Parser. Acta Cybern. 18(3): 391-402 (2008) - [j24]Dénes Paczolay, András Bánhalmi, András Kocsor:
Robust Clustering - Based Realtime Vowel Recognition. Acta Cybern. 18(3): 451-462 (2008) - [j23]Krisztina Tóth, Richárd Farkas, András Kocsor:
Sentence Alignment of Hungarian-English Parallel Corpora Using a Hybrid Algorithm. Acta Cybern. 18(3): 463-478 (2008) - [j22]Paolo Sonego
, András Kocsor, Sándor Pongor:
ROC analysis: applications to the classification of biological sequences and 3D structures. Briefings Bioinform. 9(3): 198-209 (2008) - [j21]Ivor Wai-Hung Tsang, András Kocsor, James Tin-Yau Kwok:
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines. IEEE Trans. Neural Networks 19(4): 610-624 (2008) - [p1]Róbert Busa-Fekete, András Kocsor, Sándor Pongor:
Tree-Based Algorithms for Protein Classification. Computational Intelligence in Bioinformatics 2008: 165-182 - 2007
- [j20]László Tóth, András Kocsor:
A segment-based interpretation of HMM/ANN hybrids. Comput. Speech Lang. 21(3): 562-578 (2007) - [j19]András Bánhalmi, Dénes Paczolay, László Tóth, András Kocsor:
Development of a Hungarian Medical Dictation System. Informatica (Slovenia) 31(2): 241-246 (2007) - [j18]Paolo Sonego, Mircea Pacurar, Somdutta Dhir, Attila Kertész-Farkas, András Kocsor, Zoltán Gáspári, Jack A. M. Leunissen, Sándor Pongor:
A Protein Classification Benchmark collection for machine learning. Nucleic Acids Res. 35(Database-Issue): 232-236 (2007) - [c37]András Bánhalmi, András Kocsor, Róbert Busa-Fekete:
Counter-Example Generation-Based One-Class Classification. ECML 2007: 543-550 - [c36]Ivor W. Tsang, András Kocsor, James T. Kwok:
Simpler core vector machines with enclosing balls. ICML 2007: 911-918 - [c35]Róbert Busa-Fekete, András Kocsor, Csaba Bagyinka:
A Multi-Stack Based Phylogenetic Tree Building Method. ISBRA 2007: 49-60 - [c34]Attila Kertész-Farkas, András Kocsor, Sándor Pongor:
Equivalence Learning in Protein Classification. MLDM 2007: 824-837 - [c33]András Kocsor, Róbert Busa-Fekete, András Bánhalmi:
Whitening-Based Feature Space Transformations in a Speech Impediment Therapy System. TSD 2007: 222-229 - [c32]Dénes Paczolay, András Bánhalmi, András Kocsor:
Speaker Normalization Via Springy Discriminant Analysis and Pitch Estimation. TSD 2007: 246-253 - [c31]András Bánhalmi, Róbert Busa-Fekete, András Kocsor:
An Automatic Retraining Method for Speaker Independent Hidden Markov Models. TSD 2007: 382-389 - 2006
- [j17]Gábor Gosztolya, András Kocsor:
A Hierarchical Evaluation Methodology in Speech Recognition. Acta Cybern. 17(2): 213-224 (2006) - [j16]Kornél Kovács, András Kocsor:
Classification using a sparse combination of basis functions. Acta Cybern. 17(2): 311-323 (2006) - [j15]Dénes Paczolay, László Felföldi, András Kocsor:
Classifier Combination Schemes in Speech Impediment Therapy Systems. Acta Cybern. 17(2): 385-399 (2006) - [j14]Richárd Farkas, György Szarvas, András Kocsor:
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms. Acta Cybern. 17(3): 633-646 (2006) - [j13]András Kocsor, Attila Kertész-Farkas, László Kaján, Sándor Pongor:
Application of compression-based distance measures to protein sequence classification: a methodological study. Bioinform. 22(4): 407-412 (2006) - [j12]László Kaján, Attila Kertész-Farkas, Dino Franklin, Neli Ivanova, András Kocsor, Sándor Pongor:
Application of a simple likelihood ratio approximant to protein sequence classification. Bioinform. 22(23): 2865-2869 (2006) - [j11]János Z. Kelemen, Attila Kertész-Farkas, András Kocsor, László G. Puskás:
Kalman filtering for disease-state estimation from microarray data. Bioinform. 22(24): 3047-3053 (2006) - [j10]András Kocsor, Gábor Gosztolya:
The use of speed-up techniques for a speech recognizer system. Int. J. Speech Technol. 9(3-4): 95-107 (2006) - [j9]András Bánhalmi, Dénes Paczolay, László Tóth, András Kocsor:
Investigating the robustness of a Hungarian medical dictation system under various conditions. Int. J. Speech Technol. 9(3-4): 121-131 (2006) - [c30]György Szarvas, Richárd Farkas, András Kocsor:
A Multilingual Named Entity Recognition System Using Boosting and C4.5 Decision Tree Learning Algorithms. Discovery Science 2006: 267-278 - [c29]András Kocsor:
The Kernel Topological Machine. DMIN 2006: 349-352 - [c28]Ivor W. Tsang, András Kocsor, James T. Kwok:
Diversified SVM Ensembles for Large Data Sets. ECML 2006: 792-800 - [c27]András Kocsor, Dénes Paczolay:
Speech Technologies in a Computer-Aided Speech Therapy System. ICCHP 2006: 615-622 - [c26]Ivor W. Tsang, András Kocsor, James T. Kwok:
Efficient kernel feature extraction for massive data sets. KDD 2006: 724-729 - [c25]György Szarvas, Richárd Farkas, László Felföldi, András Kocsor, János Csirik:
A highly accurate Named Entity corpus for Hungarian. LREC 2006: 1957-1960 - [c24]András Hócza, András Kocsor:
Hungarian-English Machine Translation Using GenPar. TSD 2006: 87-94 - 2005
- [c23]Péter Kárpáti, András Kocsor, László Böszörményi:
Client Behaviour Prediction in a Proactive Video Server. EuroIMSA 2005: 492-497 - [c22]László Tóth, András Kocsor:
Training HMM/ANN Hybrid Speech Recognizers by Probabilistic Sampling. ICANN (1) 2005: 597-603 - [c21]Gábor Gosztolya, András Kocsor:
Speeding Up Dynamic Search Methods in Speech Recognition. IEA/AIE 2005: 98-100 - [c20]András Kuba, László Felföldi, András Kocsor:
POS Tagger Combinations on Hungarian Text. IJCNLP (companion) 2005 - [c19]András Bánhalmi, Kornél Kovács, András Kocsor, László Tóth:
Fundamental frequency estimation by least-squares harmonic model fitting. INTERSPEECH 2005: 305-308 - [c18]András Kocsor:
On Kernel Discriminant Analyses Applied to Phoneme Classification. ISNN (2) 2005: 357-362 - [c17]András Hócza, László Felföldi, András Kocsor:
Learning Syntactic Patterns Using Boosting and Other Classifier Combination Schemas. TSD 2005: 69-76 - [c16]Dóra Csendes, János Csirik, Tibor Gyimóthy, András Kocsor:
The Szeged Treebank. TSD 2005: 123-131 - [c15]László Tóth, András Kocsor:
Explicit Duration Modelling in HMM/ANN Hybrids. TSD 2005: 310-317 - 2004
- [j8]László Tóth, András Kocsor, Gábor Gosztolya:
Telephone Speech Recognition via the Combination of Knowledge Sources in a Segmental Speech Model. Acta Cybern. 16(4): 643-657 (2004) - [j7]Gyula Zsigri, András Kocsor, László Tóth, Györgyi Sejtes:
Phonetic Level Annotation and Segmentation of Hungarian Speech Databases. Acta Cybern. 16(4): 659-673 (2004) - [j6]András Kocsor, László Tóth:
Application of Kernel-Based Feature Space Transformations and Learning Methods to Phoneme Classification. Appl. Intell. 21(2): 129-142 (2004) - [j5]András Kocsor, László Tóth:
Kernel-based feature extraction with a speech technology application. IEEE Trans. Signal Process. 52(8): 2250-2263 (2004) - [c14]Csaba Szepesvári, András Kocsor, Kornél Kovács:
Kernel Machine Based Feature Extraction Algorithms for Regression Problems. ECAI 2004: 1091-1092 - [c13]András Kocsor, Kornél Kovács, Csaba Szepesvári:
Margin Maximizing Discriminant Analysis. ECML 2004: 227-238 - [c12]Gabor Faddi, András Kocsor, László Tóth:
Initialization of directions in projection pursuit learning. IJCNN 2004: 2205-2208 - [c11]László Felföldi, András Kocsor:
AHP-Based Classifier Combination. PRIS 2004: 45-58 - [c10]Gábor Gosztolya, András Kocsor:
Aggregation Operators and Hypothesis Space Reductions in Speech Recognition. TSD 2004: 315-322 - 2003
- [j4]Gábor Gosztolya, András Kocsor, László Tóth:
Various Robust Search Methods in a Hungarian Speech Recognition System. Acta Cybern. 16(2): 229-240 (2003) - [j3]Kornél Kovács, András Kocsor:
Various Hyperplane Classifiers Using Kernel Feature Spaces. Acta Cybern. 16(2): 271-278 (2003) - [c9]Gábor Gosztolya, András Kocsor:
Improving the Multi-stack Decoding Algorithm in a Segment-Based Speech Recognizer. IEA/AIE 2003: 744-749 - [c8]László Tóth, András Kocsor:
Harmonic alternatives to sine-wave speech. INTERSPEECH 2003: 2073-2076 - [c7]Dénes Paczolay, András Kocsor, László Tóth:
Real-Time Vocal Tract Length Normalization. TSD 2003: 309-314 - 2002
- [c6]Kornél Kovács, András Kocsor, László Tóth:
Hungarian Speech Synthesis Using a Phase Exact HNM Approach. SOFSEM 2002: 181-185 - [c5]András Kocsor, Kornél Kovács:
Kernel Springy Discriminant Analysis and Its Application to a Phonological Awareness Teaching System. TSD 2002: 325-328 - 2001
- [c4]András Kocsor, László Tóth, László Felföldi:
Application of Feature Transformation and Learning Methods in Phoneme Classification. IEA/AIE 2001: 502-512 - [c3]András Kocsor, János Csirik:
Fast Independent Component Analysis in Kernel Feature Spaces. SOFSEM 2001: 271-281 - [c2]András Kocsor, László Tóth, Dénes Paczolay:
A Nonlinearized Discriminant Analysis and Its Application to Speech Impediment Therapy. TSD 2001: 249-257 - 2000
- [j2]András Kocsor, László Tóth, András Kuba, Kornél Kovács, Márk Jelasity, Tibor Gyimóthy, János Csirik:
A Comparative Study of Several Feature Transformation and Learning Methods for Phoneme Classification. Int. J. Speech Technol. 3(3-4): 263-276 (2000) - [c1]László Tóth, András Kocsor, Kornél Kovács:
A Discriminative Segmental Speech Model and Its Application to Hungarian Number Recognition. TSD 2000: 307-313
1990 – 1999
- 1999
- [j1]András Kocsor, László Tóth, I. Bálint:
Optimal Parameters of a Sinusoidal Representation of Signals. Acta Cybern. 14(2): 315-330 (1999)
Coauthor Index
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