Veselka Boeva

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	All	Since 2016
Citations	482	233
h-index	10	8
i10-index	13	4

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Co-authors

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

Veselka Boeva

Professor of Computer Science, Blekinge Institute of Technology

Verified email at bth.se - Homepage

artificial intelligence data mining bioinformatics machine learning uncertainty modelling


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	39	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	22	2008
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
Nonparametric recursive aggregation process E Tsiporkova, V Boeva Kybernetika 40 (1), [51]-70, 2004	20	2004
A formal concept analysis approach to consensus clustering of multi-experiment expression data A Hristoskova, V Boeva, E Tsiporkova BMC bioinformatics 15 (1), 151, 2014	17	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	12	2004
Analysis of multiple DNA microarray datasets V Boeva, E Tsiporkova, E Kostadinova Springer Handbook of Bio-/Neuroinformatics, 223-234, 2014	11	2014
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 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
Clustering approaches for dealing with multiple DNA microarray datasets V Boeva Journal of Computational Science 5 (3), 368-376, 2014	7	2014

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