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) |