Veselka Boeva

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Elena TsiporkovaSenior Technology Advisor, ICT & Software Engineering Group, SirrisVerified email at sirris.be
Niklas LavessonProfessor of Software Engineering - Applied AI/ML at Blekinge Institute of TechnologyVerified email at bth.se
Håkan GrahnProfessor of Computer Engineering, Blekinge Institute of Technology, SwedenVerified email at bth.se
Shahrooz AbghariPh.D. in Computer Science, Blekinge Institute of TechnologyVerified email at bth.se
Milena AngelovaTechnical University of Sofia, Plovdiv branchVerified email at tu-plovdiv.bg
De Baets BernardGhent UniversityVerified email at ugent.be
Emiliano CasalicchioSapienza University of Rome - Computer Science Dep.Verified email at uniroma1.it
Anton BorgBlekinge Institute of TechnologyVerified email at bth.se
Vishnu Manasa DevagiriPhD Student, Blekinge Tekniska HögskolaVerified email at bth.se
Eva García-MartínMachine Learning Engineer at SpotifyVerified email at spotify.com
Elena KostadinovaPhD Student, Technical University of Sofia, branch PlovdivVerified email at tu-plovdiv.bg
Lars LundbergBlekinge Institute of TechnologyVerified email at bth.se
Ahmed A. Al-SaediPh.D student in Computer Science, Blekinge Institute of TechnologyVerified email at bth.se
Christian NordahlPh.D student in Computer Science, Blekinge Institute of TechnologyVerified email at bth.se
Anna Hristoskovadr. ir. Anna Hristoskova, SirrisVerified email at sirris.be
Michiel DhontData Innovation Scientist, SirrisVerified email at sirris.be
Love EkenbergProfessor of Computer and Systems Sciences, Stockholm UniversityVerified email at dsv.su.se
Maria RiveiroProfessor of Computer Science, Jönköping UniversityVerified email at ju.se
Elio Ventocilla, Ph.DSkövde UniversityVerified 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	107	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	52	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
How to measure energy consumption in machine learning algorithms E García-Martín, N Lavesson, H Grahn, E Casalicchio, V Boeva ECML PKDD 2018 Workshops: Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe …, 2019	25	2019
Fusing time series expression data through hybrid aggregation and hierarchical merge E Tsiporkova, V Boeva Bioinformatics 24 (16), i63-i69, 2008	24	2008
Nonparametric recursive aggregation process E Tsiporkova, V Boeva Kybernetika 40 (1), [51]-70, 2004	24	2004
A formal concept analysis approach to consensus clustering of multi-experiment expression data A Hristoskova, V Boeva, E Tsiporkova BMC bioinformatics 15, 1-16, 2014	23	2014
Dempster–Shafer theory framed in modal logic E Tsiporkova, V Boeva, B De Baets International journal of approximate reasoning 21 (2), 157-175, 1999	23	1999
Comparison of Clustering Approaches for Gene Expression Data. A Borg, N Lavesson, V Boeva SCAI, 55-64, 2013	17	2013
Energy efficiency in machine learning: A position paper E García Martín 30th Annual Workshop of the Swedish Artificial Intelligence Society SAIS …, 2017	16	2017
Towards a taxonomy for interpretable and interactive machine learning E Ventocilla, T Helldin, M Riveiro, J Bae, V Boeva, G Falkman, ... 2nd Workshop on Explainable AI (XAI-18), 27th International Joint …, 2018	13	2018
Clustering approaches for dealing with multiple DNA microarray datasets V Boeva Journal of Computational Science 5 (3), 368-376, 2014	13	2014
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	13	2012
Higher order mining for monitoring district heating substations S Abghari, V Boeva, J Brage, C Johansson, H Grahn, N Lavesson 2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019	12	2019
Profiling of household residents’ electricity consumption behavior using clustering analysis C Nordahl, V Boeva, H Grahn, M Persson Netz Computational Science–ICCS 2019: 19th International Conference, Faro …, 2019	12	2019
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
EvolveCluster: an evolutionary clustering algorithm for streaming data C Nordahl, V Boeva, H Grahn, M Persson Netz Evolving Systems, 1-21, 2021	11	2021
Semantic-aware expert partitioning V Boeva, L Boneva, E Tsiporkova Artificial Intelligence: Methodology, Systems, and Applications: 16th …, 2014	11	2014
Measuring expertise similarity in expert networks V Boeva, M Krusheva, E Tsiporkova 2012 6th IEEE International Conference Intelligent Systems, 053-057, 2012	11	2012

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