Veselka Boeva

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Medförfattare

Elena TsiporkovaSenior Technology Advisor, ICT & Software Engineering Group, SirrisVerifierad e-postadress på sirris.be
Niklas LavessonProfessor of Computer Science, School of Engineering, Jönköping UniversityVerifierad e-postadress på ju.se
De Baets BernardGhent UniversityVerifierad e-postadress på ugent.be
Milena AngelovaTechnical University of Sofia, Plovdiv branchVerifierad e-postadress på tu-plovdiv.bg
Håkan GrahnProfessor of Computer Engineering, Blekinge Institute of Technology, SwedenVerifierad e-postadress på bth.se
Elena KostadinovaPhD Student, Technical University of Sofia, branch PlovdivVerifierad e-postadress på tu-plovdiv.bg
Anton BorgBlekinge Institute of TechnologyVerifierad e-postadress på bth.se
Martin BoldtAssociate professor, Blekinge Institute of Technology, SwedenVerifierad e-postadress på bth.se
Eva García-MartínPhD in Machine Learning. Data Scientist at Ekkono SolutionsVerifierad e-postadress på ekkono.ai
Lars LundbergBlekinge Institute of TechnologyVerifierad e-postadress på bth.se
Anna Hristoskovadr. ir. Anna Hristoskova, Department of Information Technology, iMinds, Ghent UniversityVerifierad e-postadress på intec.ugent.be
Shahrooz AbghariPhD in Computer Science, Blekinge Institute of TechnologyVerifierad e-postadress på bth.se
Love EkenbergProfessor of Computer and Systems Sciences, Stockholm UniversityVerifierad e-postadress på dsv.su.se
Vishnu Manasa DevagiriPhD Student, Blekinge Tekniska HögskolaVerifierad e-postadress på bth.se
Christian NordahlPh.D student in Computer Science, Blekinge Institute of TechnologyVerifierad e-postadress på bth.se
Emiliano CasalicchioSapienza University of Rome - Computer Science Dep.Verifierad e-postadress på uniroma1.it
Juhee BaeLecturer, University of SkövdeVerifierad e-postadress på ncsu.edu
Maria RiveiroAssociate Professor of Computer Science, Jönköping UniversityVerifierad e-postadress på ju.se
Elio VentocillaPhD candidate, University of SkövdeVerifierad e-postadress på his.se
Göran FalkmanUniversity of Skövde, SwedenVerifierad e-postadress på his.se

Veselka Boeva

Professor of Computer Science, Blekinge Institute of Technology

Verifierad e-postadress på bth.se - Startsida

artificial intelligence data mining bioinformatics machine learning uncertainty modelling


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Multi-step ranking of alternatives in a multi-criteria and multi-expert decision making environment E Tsiporkova, V Boeva Information Sciences 176 (18), 2673-2697, 2006	93	2006
Detecting serial residential burglaries using clustering A Borg, M Boldt, N Lavesson, U Melander, V Boeva Expert Systems with Applications 41 (11), 5252-5266, 2014	40	2014
Two-pass imputation algorithm for missing value estimation in gene expression time series E Tsiporkova, V Boeva Journal of bioinformatics and computational biology 5 (05), 1005-1022, 2007	31	2007
Fusing time series expression data through hybrid aggregation and hierarchical merge E Tsiporkova, V Boeva Bioinformatics 24 (16), i63-i69, 2008	23	2008
Nonparametric recursive aggregation process E Tsiporkova, V Boeva Kybernetika 40 (1), [51]-70, 2004	22	2004
Dempster–Shafer theory framed in modal logic E Tsiporkova, V Boeva, B De Baets International journal of approximate reasoning 21 (2), 157-175, 1999	21	1999
A formal concept analysis approach to consensus clustering of multi-experiment expression data A Hristoskova, V Boeva, E Tsiporkova BMC bioinformatics 15 (1), 1-16, 2014	17	2014
Analysis of multiple DNA microarray datasets V Boeva, E Tsiporkova, E Kostadinova Springer Handbook of Bio-/Neuroinformatics, 223-234, 2014	12	2014
A multi-purpose time series data standardization method V Boeva, E Tsiporkova Intelligent Systems: From Theory to Practice, 445-460, 2010	12	2010
A transition logic for schemata conflicts V Boeva, L Ekenberg Data & Knowledge Engineering 51 (3), 277-294, 2004	11	2004
Comparison of Clustering Approaches for Gene Expression Data. A Borg, N Lavesson, V Boeva SCAI, 55-64, 2013	10	2013
An Integrative DTW-based imputation method for gene expression time series data E Kostadinova, V Boeva, L Boneva, E Tsiporkova 2012 6th IEEE International Conference Intelligent Systems, 258-263, 2012	10	2012
Measuring expertise similarity in expert networks V Boeva, M Krusheva, E Tsiporkova 2012 6th IEEE International Conference Intelligent Systems, 053-057, 2012	10	2012
A Hybrid DTW based method for integration analysis of time series data V Boeva, E Kostadinova 2009 International Conference on Adaptive and Intelligent Systems, 49-54, 2009	9	2009
Dempster's rule of conditioning translated into modal logic E Tsiporkova, B De Baets, V Boeva Fuzzy Sets and Systems 102 (3), 371-383, 1999	9	1999
Energy efficiency in machine learning: A position paper E García Martín 30th Annual Workshop of the Swedish Artificial Intelligence Society SAIS …, 2017	8	2017
Semantic-aware expert partitioning V Boeva, L Boneva, E Tsiporkova International Conference on Artificial Intelligence: Methodology, Systems …, 2014	8	2014
Clustering approaches for dealing with multiple DNA microarray datasets V Boeva Journal of Computational Science 5 (3), 368-376, 2014	8	2014
Clustering of multiple microarray experiments using information integration E Kostadinova, V Boeva, N Lavesson International Conference on Information Technology in Bio-and Medical …, 2011	8	2011
Towards a taxonomy for interpretable and interactive machine learning E Ventocilla, T Helldin, M Riveiro, J Bae, V Boeva, G Falkman, ... XAI Workshop on Explainable Artificial Intelligence, 151-157, 2018	7	2018

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