András Kocsor - Concepedia

Author

András Kocsor

University of Szeged

Also Known As

A. Kocsor, Andras Kocsor, András KOCSOR, András Kocsor

Publications

1.3K

Citations

H-Index

Concepts

All Affiliations

University of Szeged MTA-SZTE Research Group on Artificial Intelligence Hungarian Academy of Sciences HUN-REN Szegedi Biológiai Kutatóközpont International Centre for Genetic Engineering and Biotechnology

About

András Kocsor is an author at University of Szeged specializing in engineering, pattern recognition, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	388
2	Language Studies	2	2	41
3	Arts	1	1	15
4	Medicine	1	1	49
5	Computer Engineering	1	1	210

András Kocsor

Publications

651

Citations

H-Index

Page 1

	Year	Citations
Simpler core vector machines with enclosing balls Ivor W. Tsang, András Kocsor, James T. Kwok Artificial IntelligenceNumerical AnalysisEngineeringMachine LearningSupport Vector Machine	2007	210
Application of compression-based distance measures to protein sequence classification: a methodological study András Kocsor, Attila Kertész‐Farkas, László Kaján, Bioinformatics	2005	75
Kernel-Based Feature Extraction with a Speech Technology Application András Kocsor, László Tóth IEEE Transactions on Signal Processing EngineeringMachine LearningBiometricsFeature ExtractionKernel Method	2004	61
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines Ivor W. Tsang, András Kocsor, James T. Kwok IEEE Transactions on Neural Networks	2008	53
A Protein Classification Benchmark collection for machine learning Paolo Sonego, Mircea Pacurar, Sunny Dhir, Nucleic Acids Research EngineeringMachine LearningMachine Learning AlgorithmsMolecular BiologyBioinformatics Database	2006	49
Efficient kernel feature extraction for massive data sets Ivor W. Tsang, András Kocsor, James T. Kwok	2006	35
Application of a simple likelihood ratio approximant to protein sequence classification László Kaján, Attila Kertész‐Farkas, Dino Franklin, Bioinformatics	2006	28
On naive Bayes in speech recognition László Tóth, András Kocsor, János Csirik Digital library of Zielona Gora (University of Zielona Góra) EngineeringMachine LearningSpoken Language ProcessingNaive Bayes AssumptionSpeech Recognition	2005	26
A highly accurate Named Entity corpus for Hungarian György Szarvas, Richárd Farkas, László Felföldi,	2006	25
Benchmarking protein classification algorithms via supervised cross-validation Attila Kertész‐Farkas, Somdutta Dhir, Paolo Sonego, Journal of Biochemical and Biophysical Methods EngineeringData ScienceComputational BiologyProtein ClassificationProtein Modeling	2007	22

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