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Veselka Boeva
Veselka Boeva
Professor of Computer Science, Blekinge Institute of Technology
在 bth.se 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
1092006
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
502014
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
322007
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
282019
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
242014
Fusing time series expression data through hybrid aggregation and hierarchical merge
E Tsiporkova, V Boeva
Bioinformatics 24 (16), i63-i69, 2008
242008
Nonparametric recursive aggregation process
E Tsiporkova, V Boeva
Kybernetika 40 (1), [51]-70, 2004
242004
Dempster–Shafer theory framed in modal logic
E Tsiporkova, V Boeva, B De Baets
International journal of approximate reasoning 21 (2), 157-175, 1999
231999
Comparison of clustering approaches for gene expression data
A Borg, N Lavesson, V Boeva
Twelfth Scandinavian Conference on Artificial Intelligence, 55-64, 2013
202013
EvolveCluster: an evolutionary clustering algorithm for streaming data
C Nordahl, V Boeva, H Grahn, M Persson Netz
Evolving Systems 13 (4), 603-623, 2022
172022
Energy efficiency in machine learning: A position paper
E García Martín
30th Annual Workshop of the Swedish Artificial Intelligence Society SAIS …, 2017
162017
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
152019
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
142019
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
142018
Clustering approaches for dealing with multiple DNA microarray datasets
V Boeva
Journal of Computational Science 5 (3), 368-376, 2014
142014
Reducing communication overhead of federated learning through clustering analysis
AA Al-Saedi, V Boeva, E Casalicchio
2021 IEEE Symposium on Computers and Communications (ISCC), 1-7, 2021
132021
Analysis of multiple DNA microarray datasets
V Boeva, E Tsiporkova, E Kostadinova
Springer Handbook of Bio-/Neuroinformatics, 223-234, 2014
132014
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
132012
Intelligent approaches to fault detection and diagnosis in district heating: Current trends, challenges, and opportunities
J van Dreven, V Boeva, S Abghari, H Grahn, J Al Koussa, E Motoasca
Electronics 12 (6), 1448, 2023
122023
Hoeffding trees with nmin adaptation
E García-Martín, N Lavesson, H Grahn, E Casalicchio, V Boeva
2018 IEEE 5th International Conference on Data Science and Advanced …, 2018
122018
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