Ing. Andrea Szaboova

Contact Education Projects Experience Skills

CONTACT

Department of Computer Science and Engineering
Faculty of Electrical Engineering
Czech Technical University in Prague

Karlovo namesti 13, E-435

e-mail: szaboand(at)fel.cvut.cz, merciandy(at)gmail.com

EDUCATION

2001 - 2006
Technical University in Kosice, Slovak Republic
Ing. (= MSc.) in Cybernetics and Artificial Intelligence

2009 - 2013 (expected)
Czech Technical University in Prague, Czech Republic
Ph.D. student - Department of Computer Sciences
Dissertation Thesis submitted.

PUBLICATIONS

Journal Papers

1. Andrea Szaboova, Ondrej Kuzelka, Filip Zelezny and Jakub Tolar. Prediction of DNA-binding proteins from relational features. Proteome Science, 10 , 2012.
2. Andrea Szaboova, Ondrej Kuzelka, Filip Zelezny and Jakub Tolar. Prediction of DNA-binding Propensity of Proteins by the Ball-Histogram Method using Automatic Template Search. BMC Bioinformatics - Supplement, 13, Sup 10 , 2012

Conference and Workshop Papers

1. Andrea Szaboova, Ondrej Kuzelka and Filip Zelezny. Prediction of Antimicrobial Activity of Peptides using Relational Machine Learning. IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW 2012), 2012.
2. Ondrej Kuzelka, Andrea Szaboova and Filip Zelezny. A Reduction Operator for Bottom-up Relational Learning with Bounded-Treewidth Hypotheses. ILP 2012, 2012.
3. Ondrej Kuzelka, Andrea Szaboova and Filip Zelezny. Extending the Ball-Histogram Method with Continuous Distributions and an Application to Prediction of DNA-Binding Proteins. IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2012), 2012.
4. Ondrej Kuzelka, Andrea Szaboova and Filip Zelezny. Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses. Proceedings of the Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2012), 2012.
5. Ondrej Kuzelka, Andrea Szaboova and Filip Zelezny. Relational Learning with Polynomials. IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2012), 2012.
6. Andrea Szaboova, Ondrej Kuzelka, Sergio Morales E., Filip Zelezny and Jakub Tolar. Prediction of DNA-binding Propensity of Proteins by the Ball-Histogram Method. The 7th International Symposium on Bioinformatics Research and Applications, 2011.
7. Andrea Szaboova, Ondrej Kuzelka, Filip Zelezny and Jakub Tolar. Searching for Important Amino Acids in DNA-binding Proteins for Histogram Methods. The 7th International Symposium on Bioinformatics Research and Applications, 2011.
8. Ondrej Kuzelka, Andrea Szaboova, Matej Holec and Filip Zelezny. Gaussian Logic for Predictive Classification. ECML/PKDD 2011: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011.
9. Ondrej Kuzelka, Andrea Szaboova and Filip Zelezny. Gaussian Logic and Its Applications in Bioinformatics. ACM-BCB 2011: ACM Conference on Bioinformatics, Computational Biology and Biomedicine, 2011.
10. Ondrej Kuzelka, Andrea Szaboova, Matej Holec and Filip Zelezny. Gaussian Logic for Proteomics and Genomics. MLSB 2011: the 5th International Workshop on Machine Learning in Systems Biology, 2011.
11. Andrea Szaboova, Ondrej Kuzelka, Filip Zelezny and Jakub Tolar. Prediction of DNA-Binding Proteins from Structural Features. Proceedings of the Fourth International Workshop on Machine Learning in Systems Biology, 2010.

PROJECTS

1. Predicting Protein Properties with Spatial Statistical Relational Machine Learning. Czech Science Foundation, researcher (2012-2013).
2. Predictive Data Modeling for Effective Gene Therapy and Bone Marrow Transplantation (joint with Univ. of Minnesota). Czech Ministry of Education, researcher (2010-2012).

TEACHING EXPERIENCE

1. Machine Learning and Data Analysis ("Strojove uceni a analyza dat", in Czech), winter semester 2010/2011, 2011/2012, 2012/2013.
2. Machine Learning and Data Analysis (in English), winter semester 2012/2013

WORK EXPERIENCE

2006 - 2008
Mania Tschechien, Prague, Czech Republic
R&D Engineer, CAM Software Development

2008 - 2009
UVY CZECH, Prague, Czech Republic
R&D Engineer, CAM Software Development

TECHNICAL SKILLS

Machine Learning, Data Mining, Relational Learning, Computational Biology
Programming Languages: C, C++, Java, Perl
UML
Experience with Extreme Programming

LANGUAGE SKILLS

Hungarian - native language
Slovak - native language
English - upper-intermediate