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Helen Priisalu

https://www.etis.ee/CV/Helen_Priisalu/est
8.04.1971
52 095 95
helen.priisalu@teradata.com

Teenistuskäik

Töökohad ja ametid
01.01.2008–...   
Teradata Taani, DataWarehouse Consultant
2006–...   
Cybernetica AS, Teadur (0,50)
Olulisemad projektid:
- suurte andmebaasi lahenduste konsulteerimine analuusi rakendusteks
1997-2005 Hansabank, IT arendusdivisjon
Vastutusala: finantsanalüüsi süsteemide arenduse ja integratsiooni projektide dsiainimine
Olulisemad projektid:
-2005: ‘design of the behavioral model for customer credit risk’
-2004: ‘implementation of credit risk estimation under the Basel requirements’
-2000: ‘design of model for activity based costing’
-1997-1999: ‘development of financial and risk reporting system pursuant to regulations of the supervisory institutions in the Baltics and pursuant to European Union regulations via the headquarters in Stockholm’
1995-1997 Eesti Ühispank, IT arendusdivisjon
Amet: disainer-analüütik
Vastutusala: finantsanalüüsi süsteemide arenduse ja integratsiooni projektide dsiainimine
01.01.2005–31.12.2008   
Teradata Soome, EMEA, NCR DataWarehouse Consultant
 
 
Haridustee
2003-2005 Tehnikateaduste magister (MSc),
Arvuti ja süsteemitehnika õppesuund, infotehnoloogia teaduskond, Tallinna Tehnika Ülikool
Magistritöö“Adaptive estimation of time varying parameters for a regression model: case of credit risk prediction”
1998-2000 Rahvusvahelise ärijuhtimise magistri diplom (MA)
Eesti Kõrgem Kommertskool, Estonia
1989-1994 Süsteemi inseneri diplom
Automatiseeritud juhtimisüsteemid
Tallinna Tehnika Ülikool
Cum Laude, Thesis “Auto Transport Planning”
1987-1989 Matemaatika-füüsika klass,
Tallinna I keskkool

Kvalifikatsioon

Teaduskraadid
Helen Priisalu, magistrikraad (teaduskraad), 2005, (juh) Leo Mõtus, Regressioonimudeli ajas muutuvate parameetrite adaptiivne hindamine: panga krediidi risk prognoosi näitel, Tallinna Tehnikaülikool, Infotehnoloogia teaduskond, Automaatikainstituut.
Helen Priisalu, doktorant [Õpingud katkestatud], (juh) Ahto Buldas, -, Tallinna Tehnikaülikool, Infotehnoloogia teaduskond, Informaatikainstituut.
 
 
Lisainfo
Tehnikateaduste magister;
Inseneri Diplom Tallinna Tehnika Ülikool, 2005;
Tallinna Tehnika Ülikool, 1994;

Publikatsioonid

Klass
Aasta
Publikatsioon
 
1.1.
2009
Okun, O.; Priisalu, H. (2009). Dataset complexity in gene expression based cancer classification using ensembles of k-nearest neighbors. Artificial Intelligence in Medicine, 45, 151−162.10.1016/j.artmed.2008.08.004.
3.1.
2008
Okun, O.; Valentini, G.; Priisalu, H. (2008). Exploring the link between bolstered classification error and dataset complexity for gene expression based cancer classification. In: Maeda, T. (_EditorsAbbr). New Signal Processing Research (1−30).. New York, USA: Nova Science Publisher Inc..
3.1.
2008
Okun, O.; Priisalu, H. (2008). Ensembles of k-nearest neighbors and dimensionality reduction. Proceedings of the 2008 International Joint Conference on Neural Networks (as part of 2008 IEEE World Congress on Computational Intelligence): The 2008 International Joint Conference on Neural Networks (as part of 2008 IEEE World Congress on Computational Intelligence), Hong Kong, China, June 1-6. IEEE, 2032−2039.
3.1.
2008
Okun, O.; Priisalu, H. (2008). Ensembles of nearest neighbors for gene expression based cancer classification. In: Okun, O; Valentini, G (_EditorsAbbr). Supervised and Unsupervised Ensemble Methods and Their Applications (115−134).. Berlin/Heidelberg: Springer Verlag. (Studies in Computational Intelligence; 126).
3.2.
2008
Okun, O.; Priisalu, H. (2008). Lowering uncertainty of cancer classification. Proceedings of the 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems: The 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Malaga, Spain, Jun 22-27. _EditorsAbbr Magdalena, L.; Ojeda-Aciego, M.; Verdegay, J.L. 543−550.
1.1.
2007
Okun, Oleg; Priisalu, Helen (2007). Unsupervised data reduction. Signal Processing, 87 (9), 2260−2267.
3.1.
2007
Okun, Oleg; Priisalu, Helen (2007). Dataset complexity and gene expression based cancer classification. Proceedings of the 7th International Workshop on Fuzzy Logic and Applications, Vol.4578: The 7th International Workshop on Fuzzy Logic and Applications, Camogli, Italy, 2007. _EditorsAbbr Masulli F, Mitra S and Pasi G. Springer, 484−490.
3.1.
2007
Okun, Oleg; Priisalu, Helen (2007). Random forest for gene expression based cancer classification: overlooked issues. Proceedings of the 3rd Iberian Conference on Pattern Recognition and Image Analysis, Vol.4478, Part II: The 3rd Iberian Conference on Pattern Recognition and Image Analysis, Girona, Spain, 2007. _EditorsAbbr Martí J, Benedí J.M, Mendonça A.M and Serrat J. Springer, 483−490.
3.4.
2007
Okun, Oleg; Priisalu, Helen (2007). Ensembles of nearest neighbours for cancer classification using gene expression data. Proceedings of the Workshop on Supervised and Unsupervised Ensemble Methods and Their Applications: The Workshop on Supervised and Unsupervised Ensemble Methods and Their Applications (in conjunction with the 3rd Iberian Conference on Pattern Recognition and Image Analysis), Girona, Spain, 2007. _EditorsAbbr Okun Oleg and Valentini Giorgio. 57−71.
1.1.
2006
Okun, O., Priisalu, H. (2006). Fast nonnegative matrix factorization and its application for protein fold recognition. EURASIP Journal on Applied Signal Processing, 2006, 71817.
3.2.
2006
Okun, O., Priisalu, H. (2006). Ensembles of nearest neighbor classifiers and serial analysis of gene expression. Proc. the 9th Scandinavian Conf. on Artificial Intelligence (SCAI 2006): The 9th Scandinavian Conf. on Artificial Intelligence (SCAI 2006), Helsinki, Finland. Helsinki, Finland: Finnish Artificial Intelligence Society,.
3.2.
2006
Okun, O., Priisalu, H. (2006). Multi-class cancer classification using ensembles of classifiers: preliminary results. Proc. of Workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology: Workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology (PMSB 2006), Tuusula, Finland. _EditorsAbbr Juho Rousu, Samuel Kaski, Esko Ukkonen. Helsinki, Finland: Helsinki University Printing House, 137−142.
1.1.
2005
Okun, O.; Priisalu, H.; Alexessander, A. (2005). Fast nonnegative dimensionality reduction for protein fold recognition. Proceedings of the 16th European Conference on Machine Learning: The 16th European Conference on Machine Learning, Porto, Portugal. Springer-Verlag, 665−672. (Lecture Notes in Artificial Intelligence; 3720).
3.2.
2005
Okun, O.; Priisalu, H. (2005). Multiple views in ensembles of nearest neighbor classifiers. Proceedings of Workshop on Learning with Multiple Views (in conjunction with the 22nd International Conference on Machine Learning): Workshop on Learning with Multiple Views (in conjunction with the 22nd International Conference on Machine Learning), Bonn, Germany. Omnipress, 51−58.
3.2.
2005
Okun, O.; Priisalu, H. (2005). Nonnegative matrix factorization for pattern recognition. Proceedings of the 5th IASTED International Conference on Visualization, Imaging and Image Processing: The 5th IASTED International Conference on Visualization, Imaging and Image Processing, Benidorm, Spain. ACTA Press, 546−551.
5.04.2018

Helen Priisalu

https://www.etis.ee/CV/Helen_Priisalu/eng
8.04.1971
52 095 95
helen.priisalu@teradata.com

Career

Institution and occupation
01.01.2008–...   
Teradata Denmark, DataWarehouse Consultant
2006–...   
Cybernetica AS, Researcher (0,50)
1997-2005 Hansabank, IT development
1995-1997 Estonian Union Bank, IT development
01.01.2005–31.12.2008   
Teradata Finland, EMEA Sales & Services, NCR, DataWarehouse Consultant
 
 
Education
2003-2005 Master of Science in Engineering (MSc),
1998-2000 Diploma in Master of Business Administration
Estonian Business School, Estonia
1989-1994 Diploma in Engineering,
Tallinn University of Technology, Estonia
Cum Laude, Thesis “Auto Transport Planning”
1987-1989 Higher School of Mathematics and Physics, Estonia

Qualifications

Academic degrees
Helen Priisalu, Research Master's Degree, 2005, (sup) Leo Mõtus, Regressioonimudeli ajas muutuvate parameetrite adaptiivne hindamine: panga krediidi risk prognoosi näitel (Adaptive estimation of time-varying parameters for regression model: case of credit risk prediction), Tallinn University of Technology School of Information Technologies, Department of Computer Control.
Helen Priisalu, Phd student [Interrupted], (sup) Ahto Buldas, -, Tallinn University of Technology School of Information Technologies, Department of Informatics.
 
 
Additional information
Master of Science in Engineering(MSc);
Diploma in Engineering; Tallinn University of Technology, 2005;
Tallinn University of Technology, 1994;

Publications

Category
Year
Publication
 
1.1.
2009
Okun, O.; Priisalu, H. (2009). Dataset complexity in gene expression based cancer classification using ensembles of k-nearest neighbors. Artificial Intelligence in Medicine, 45, 151−162.10.1016/j.artmed.2008.08.004.
3.1.
2008
Okun, O.; Valentini, G.; Priisalu, H. (2008). Exploring the link between bolstered classification error and dataset complexity for gene expression based cancer classification. In: Maeda, T. (_EditorsAbbr). New Signal Processing Research (1−30).. New York, USA: Nova Science Publisher Inc..
3.1.
2008
Okun, O.; Priisalu, H. (2008). Ensembles of k-nearest neighbors and dimensionality reduction. Proceedings of the 2008 International Joint Conference on Neural Networks (as part of 2008 IEEE World Congress on Computational Intelligence): The 2008 International Joint Conference on Neural Networks (as part of 2008 IEEE World Congress on Computational Intelligence), Hong Kong, China, June 1-6. IEEE, 2032−2039.
3.1.
2008
Okun, O.; Priisalu, H. (2008). Ensembles of nearest neighbors for gene expression based cancer classification. In: Okun, O; Valentini, G (_EditorsAbbr). Supervised and Unsupervised Ensemble Methods and Their Applications (115−134).. Berlin/Heidelberg: Springer Verlag. (Studies in Computational Intelligence; 126).
3.2.
2008
Okun, O.; Priisalu, H. (2008). Lowering uncertainty of cancer classification. Proceedings of the 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems: The 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Malaga, Spain, Jun 22-27. _EditorsAbbr Magdalena, L.; Ojeda-Aciego, M.; Verdegay, J.L. 543−550.
1.1.
2007
Okun, Oleg; Priisalu, Helen (2007). Unsupervised data reduction. Signal Processing, 87 (9), 2260−2267.
3.1.
2007
Okun, Oleg; Priisalu, Helen (2007). Dataset complexity and gene expression based cancer classification. Proceedings of the 7th International Workshop on Fuzzy Logic and Applications, Vol.4578: The 7th International Workshop on Fuzzy Logic and Applications, Camogli, Italy, 2007. _EditorsAbbr Masulli F, Mitra S and Pasi G. Springer, 484−490.
3.1.
2007
Okun, Oleg; Priisalu, Helen (2007). Random forest for gene expression based cancer classification: overlooked issues. Proceedings of the 3rd Iberian Conference on Pattern Recognition and Image Analysis, Vol.4478, Part II: The 3rd Iberian Conference on Pattern Recognition and Image Analysis, Girona, Spain, 2007. _EditorsAbbr Martí J, Benedí J.M, Mendonça A.M and Serrat J. Springer, 483−490.
3.4.
2007
Okun, Oleg; Priisalu, Helen (2007). Ensembles of nearest neighbours for cancer classification using gene expression data. Proceedings of the Workshop on Supervised and Unsupervised Ensemble Methods and Their Applications: The Workshop on Supervised and Unsupervised Ensemble Methods and Their Applications (in conjunction with the 3rd Iberian Conference on Pattern Recognition and Image Analysis), Girona, Spain, 2007. _EditorsAbbr Okun Oleg and Valentini Giorgio. 57−71.
1.1.
2006
Okun, O., Priisalu, H. (2006). Fast nonnegative matrix factorization and its application for protein fold recognition. EURASIP Journal on Applied Signal Processing, 2006, 71817.
3.2.
2006
Okun, O., Priisalu, H. (2006). Ensembles of nearest neighbor classifiers and serial analysis of gene expression. Proc. the 9th Scandinavian Conf. on Artificial Intelligence (SCAI 2006): The 9th Scandinavian Conf. on Artificial Intelligence (SCAI 2006), Helsinki, Finland. Helsinki, Finland: Finnish Artificial Intelligence Society,.
3.2.
2006
Okun, O., Priisalu, H. (2006). Multi-class cancer classification using ensembles of classifiers: preliminary results. Proc. of Workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology: Workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology (PMSB 2006), Tuusula, Finland. _EditorsAbbr Juho Rousu, Samuel Kaski, Esko Ukkonen. Helsinki, Finland: Helsinki University Printing House, 137−142.
1.1.
2005
Okun, O.; Priisalu, H.; Alexessander, A. (2005). Fast nonnegative dimensionality reduction for protein fold recognition. Proceedings of the 16th European Conference on Machine Learning: The 16th European Conference on Machine Learning, Porto, Portugal. Springer-Verlag, 665−672. (Lecture Notes in Artificial Intelligence; 3720).
3.2.
2005
Okun, O.; Priisalu, H. (2005). Multiple views in ensembles of nearest neighbor classifiers. Proceedings of Workshop on Learning with Multiple Views (in conjunction with the 22nd International Conference on Machine Learning): Workshop on Learning with Multiple Views (in conjunction with the 22nd International Conference on Machine Learning), Bonn, Germany. Omnipress, 51−58.
3.2.
2005
Okun, O.; Priisalu, H. (2005). Nonnegative matrix factorization for pattern recognition. Proceedings of the 5th IASTED International Conference on Visualization, Imaging and Image Processing: The 5th IASTED International Conference on Visualization, Imaging and Image Processing, Benidorm, Spain. ACTA Press, 546−551.
5.04.2018
Detailne otsing
  • Leitud 1 kirjet
ProgrammLiikNumberNimiProjekti algusProjekti lõppVastutav täitjaAsutusFinantseerijapoolne rahastamine
SFSF0012708s06Heterogeensete infosüsteemide teoreetiline ja praktiline turvalisus01.01.200631.12.2011Ahto BuldasCybernetica AS589 336,79 EUR