2008 | ||
---|---|---|
49 | EE | Róbert Busa-Fekete, András Kocsor, Sándor Pongor: Tree-Based Algorithms for Protein Classification. Computational Intelligence in Bioinformatics 2008: 165-182 |
48 | EE | Paolo Sonego, András Kocsor, Sándor Pongor: ROC analysis: applications to the classification of biological sequences and 3D structures. Briefings in Bioinformatics 9(3): 198-209 (2008) |
2007 | ||
47 | EE | András Bánhalmi, András Kocsor, Róbert Busa-Fekete: Counter-Example Generation-Based One-Class Classification. ECML 2007: 543-550 |
46 | EE | Ivor W. Tsang, András Kocsor, James T. Kwok: Simpler core vector machines with enclosing balls. ICML 2007: 911-918 |
45 | EE | Róbert Busa-Fekete, András Kocsor, Csaba Bagyinka: A Multi-Stack Based Phylogenetic Tree Building Method. ISBRA 2007: 49-60 |
44 | EE | Attila Kertész-Farkas, András Kocsor, Sándor Pongor: Equivalence Learning in Protein Classification. MLDM 2007: 824-837 |
43 | EE | András Kocsor, Róbert Busa-Fekete, András Bánhalmi: Whitening-Based Feature Space Transformations in a Speech Impediment Therapy System. TSD 2007: 222-229 |
42 | EE | Dénes Paczolay, András Bánhalmi, András Kocsor: Speaker Normalization Via Springy Discriminant Analysis and Pitch Estimation. TSD 2007: 246-253 |
41 | EE | András Bánhalmi, Róbert Busa-Fekete, András Kocsor: An Automatic Retraining Method for Speaker Independent Hidden Markov Models. TSD 2007: 382-389 |
40 | EE | László Tóth, András Kocsor: A segment-based interpretation of HMM/ANN hybrids. Computer Speech & Language 21(3): 562-578 (2007) |
39 | EE | 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 Research 35(Database-Issue): 232-236 (2007) |
2006 | ||
38 | András Kocsor: The Kernel Topological Machine. DMIN 2006: 349-352 | |
37 | EE | 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 |
36 | EE | Ivor W. Tsang, András Kocsor, James T. Kwok: Diversified SVM Ensembles for Large Data Sets. ECML 2006: 792-800 |
35 | EE | András Kocsor, Dénes Paczolay: Speech Technologies in a Computer-Aided Speech Therapy System. ICCHP 2006: 615-622 |
34 | EE | Ivor W. Tsang, András Kocsor, James T. Kwok: Efficient kernel feature extraction for massive data sets. KDD 2006: 724-729 |
33 | EE | András Hócza, András Kocsor: Hungarian-English Machine Translation Using GenPar. TSD 2006: 87-94 |
32 | EE | Gábor Gosztolya, András Kocsor: A Hierarchical Evaluation Methodology in Speech Recognition. Acta Cybern. 17(2): (2006) |
31 | EE | Kornél Kovács, András Kocsor: Classification using a sparse combination of basis functions. Acta Cybern. 17(2): (2006) |
30 | EE | Dénes Paczolay, László Felföldi, András Kocsor: Classifier Combination Schemes in Speech Impediment Therapy Systems. Acta Cybern. 17(2): (2006) |
29 | EE | Richárd Farkas, György Szarvas, András Kocsor: Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms. Acta Cybern. 17(3): (2006) |
28 | EE | László Kaján, Attila Kertész-Farkas, Dino Franklin, Neli Ivanova, András Kocsor, Sándor Pongor: Application of a simple likelihood ratio approximant to protein sequence classification. Bioinformatics 22(23): 2865-2869 (2006) |
27 | EE | János Z. Kelemen, Attila Kertész-Farkas, András Kocsor, László G. Puskás: Kalman filtering for disease-state estimation from microarray data. Bioinformatics 22(24): 3047-3053 (2006) |
26 | EE | András Kocsor, Attila Kertész-Farkas, László Kaján, Sándor Pongor: Application of compression-based distance measures to protein sequence classification: a methodological study. Bioinformatics 22(4): 407-412 (2006) |
2005 | ||
25 | Péter Kárpáti, András Kocsor, László Böszörményi: Client Behaviour Prediction in a Proactive Video Server. EuroIMSA 2005: 492-497 | |
24 | EE | László Tóth, András Kocsor: Training HMM/ANN Hybrid Speech Recognizers by Probabilistic Sampling. ICANN (1) 2005: 597-603 |
23 | EE | Gábor Gosztolya, András Kocsor: Speeding Up Dynamic Search Methods in Speech Recognition. IEA/AIE 2005: 98-100 |
22 | EE | András Kocsor: On Kernel Discriminant Analyses Applied to Phoneme Classification. ISNN (2) 2005: 357-362 |
21 | EE | Dóra Csendes, János Csirik, Tibor Gyimóthy, András Kocsor: The Szeged Treebank. TSD 2005: 123-131 |
20 | EE | László Tóth, András Kocsor: Explicit Duration Modelling in HMM/ANN Hybrids. TSD 2005: 310-317 |
19 | EE | András Hócza, László Felföldi, András Kocsor: Learning Syntactic Patterns Using Boosting and Other Classifier Combination Schemas. TSD 2005: 69-76 |
2004 | ||
18 | Csaba Szepesvári, András Kocsor, Kornél Kovács: Kernel Machine Based Feature Extraction Algorithms for Regression Problems. ECAI 2004: 1091-1092 | |
17 | EE | András Kocsor, Kornél Kovács, Csaba Szepesvári: Margin Maximizing Discriminant Analysis. ECML 2004: 227-238 |
16 | László Felföldi, András Kocsor: AHP-Based Classifier Combination. PRIS 2004: 45-58 | |
15 | EE | Gábor Gosztolya, András Kocsor: Aggregation Operators and Hypothesis Space Reductions in Speech Recognition. TSD 2004: 315-322 |
14 | EE | 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) |
13 | EE | Gyula Zsigri, András Kocsor, László Tóth, Györgyi Sejtes: Phonetic Level Annotation and Segmentation of Hungarian Speech Databases. Acta Cybern. 16(4): 659-673 (2004) |
12 | EE | András Kocsor, László Tóth: Application of Kernel-Based Feature Space Transformations and Learning Methods to Phoneme Classification. Appl. Intell. 21(2): 129-142 (2004) |
2003 | ||
11 | EE | Gábor Gosztolya, András Kocsor: Improving the Multi-stack Decoding Algorithm in a Segment-Based Speech Recognizer. IEA/AIE 2003: 744-749 |
10 | EE | Dénes Paczolay, András Kocsor, László Tóth: Real-Time Vocal Tract Length Normalization. TSD 2003: 309-314 |
9 | EE | Gábor Gosztolya, András Kocsor, László Tóth: Various Robust Search Methods in a Hungarian Speech Recognition System. Acta Cybern. 16(2): 229-240 (2003) |
8 | EE | Kornél Kovács, András Kocsor: Various Hyperplane Classifiers Using Kernel Feature Spaces. Acta Cybern. 16(2): 271-278 (2003) |
2002 | ||
7 | EE | Kornél Kovács, András Kocsor, László Tóth: Hungarian Speech Synthesis Using a Phase Exact HNM Approach. SOFSEM 2002: 181-185 |
6 | EE | András Kocsor, Kornél Kovács: Kernel Springy Discriminant Analysis and Its Application to a Phonological Awareness Teaching System. TSD 2002: 325-328 |
2001 | ||
5 | EE | András Kocsor, László Tóth, László Felföldi: Application of Feature Transformation and Learning Methods in Phoneme Classification. IEA/AIE 2001: 502-512 |
4 | EE | András Kocsor, János Csirik: Fast Independent Component Analysis in Kernel Feature Spaces. SOFSEM 2001: 271-281 |
3 | EE | András Kocsor, László Tóth, Dénes Paczolay: A Nonlinearized Discriminant Analysis and Its Application to Speech Impediment Therapy. TSD 2001: 249-257 |
2000 | ||
2 | EE | László Tóth, András Kocsor, Kornél Kovács: A Discriminative Segmental Speech Model and Its Application to Hungarian Number Recognition. TSD 2000: 307-313 |
1999 | ||
1 | EE | András Kocsor, László Tóth, I. Bálint: Optimal Parameters of a Sinusoidal Representation of Signals. Acta Cybern. 14(2): 315-330 (1999) |