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2020 – today
- 2024
[c53]Milena Angelova, Veselka Boeva, Shahrooz Abghari:
EdgeCluster: A Resource-Aware Evolving Clustering for Streaming Data. EAIS 2024: 1-10- [c52]Tharuka Kasthuri Arachchige, Selim Ickin, Shahrooz Abghari, Veselka Boeva:
Clients Behavior Monitoring in Federated Learning via Eccentricity Analysis. EAIS 2024: 1-8 - [c51]Vishnu Manasa Devagiri
, Pierre Dagnely, Veselka Boeva, Elena Tsiporkova:
Putting Sense into Incomplete Heterogeneous Data with Hypergraph Clustering Analysis. IDA (2) 2024: 119-130 - 2023
- [c50]Christian Nordahl, Veselka Boeva, Håkan Grahn:
MultiStream EvolveCluster. Canadian AI 2023 - [c49]Elena Tsiporkova, Michiel De Vis, Sarah Klein, Anna Hristoskova, Veselka Boeva:
Mitigating Concept Drift in Distributed Contexts with Dynamic Repository of Federated Models. IEEE Big Data 2023: 2690-2699 - [c48]Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva:
Group-Personalized Federated Learning for Human Activity Recognition Through Cluster Eccentricity Analysis. EANN 2023: 505-519 - [c47]Veronica Sundstedt, Veselka Boeva, Hans-Jürgen Zepernick, Prashant Goswami, Abbas Cheddad, Kurt Tutschku, Håkan Grahn, Emiliano Casalicchio, Markus Fiedler, Emilia Mendes, Shahrooz Abghari, Yan Hu, Valeria Garro, Thi My Chinh Chu, Lars Lundberg, Patrik Arlos:
HINTS: Human-Centered Intelligent Realities. SAIS 2023: 9-17 - [i2]Eriks Klotins, Veselka Boeva, Krzysztof Wnuk, Michael Unterkalmsteiner, Tony Gorschek, Slinger Jansen:
A Method for Identification and Ranking of Requirements Sources. CoRR abs/2309.17034 (2023) - 2022
- [j20]Christian Nordahl, Veselka Boeva, Håkan Grahn, Marie Persson Netz:
EvolveCluster: an evolutionary clustering algorithm for streaming data. Evol. Syst. 13(4): 603-623 (2022) - [j19]Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva, Emiliano Casalicchio:
FedCO: Communication-Efficient Federated Learning via Clustering Optimization. Future Internet 14(12): 377 (2022) - [j18]Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva, Emiliano Casalicchio, Peter Exner:
Context-Aware Edge-Based AI Models for Wireless Sensor Networks - An Overview. Sensors 22(15): 5544 (2022) - [c46]Veselka Boeva, Emiliano Casalicchio, Shahrooz Abghari, Ahmed Abbas Mohsin Al-Saedi, Vishnu Manasa Devagiri, Andrej Petef, Peter Exner, Anders Isberg, Mirza Jasarevic:
Distributed and Adaptive Edge-based AI Models for Sensor Networks (DAISeN). FedCSIS (Position Papers) 2022: 71-78 - [c45]Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari:
Domain Adaptation Through Cluster Integration and Correlation. ICDM (Workshops) 2022: 1-8 - [c44]Shahrooz Abghari, Veselka Boeva, Emiliano Casalicchio, Peter Exner:
An Inductive System Monitoring Approach for GNSS Activation. AIAI (2) 2022: 437-449 - 2021
- [j17]Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva:
Energy-aware very fast decision tree. Int. J. Data Sci. Anal. 11(2): 105-126 (2021) - [j16]Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari, Farhad Basiri, Niklas Lavesson:
Multi-View Data Analysis Techniques for Monitoring Smart Building Systems. Sensors 21(20): 6775 (2021) - [c43]Ahmed Abbas Mohsin Al-Saedi, Emiliano Casalicchio, Veselka Boeva:
An Energy-Aware Multi-Criteria Federated Learning Model for Edge Computing. FiCloud 2021: 134-143 - [c42]Mirza Jasarevic, Veselka Boeva, Fredrik Sjölin, Per-Olav Gramstad:
Understanding Traffic Cruising Causation Via Parking Data Enhancement. ICMLA 2021: 1521-1528 - [c41]Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari:
A Multi-view Clustering Approach for Analysis of Streaming Data. AIAI 2021: 169-183 - [c40]Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva, Emiliano Casalicchio:
Reducing Communication Overhead of Federated Learning through Clustering Analysis. ISCC 2021: 1-7 - 2020
- [c39]Shahrooz Abghari, Veselka Boeva, Jens Brage, Håkan Grahn:
Multi-view Clustering Analyses for District Heating Substations. DATA 2020: 158-168 - [c38]Amirmohammad Eghbalian, Shahrooz Abghari, Veselka Boeva, Farhad Basiri:
Multi-view Data Mining Approach for Behaviour Analysis of Smart Control Valve. ICMLA 2020: 1238-1245 - [c37]Vishnu Manasa Devagiri, Veselka Boeva, Elena Tsiporkova:
Split-Merge Evolutionary Clustering for Multi-View Streaming Data. KES 2020: 460-469 - [c36]Michiel Dhont, Elena Tsiporkova, Veselka Boeva:
Layered Integration Approach for Multi-view Analysis of Temporal Data. AALTD@PKDD/ECML 2020: 138-154
2010 – 2019
- 2019
- [c35]Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson, Håkan Grahn, Niklas Lavesson:
Higher Order Mining for Monitoring District Heating Substations. DSAA 2019: 382-391 - [c34]Veselka Boeva, Milena Angelova, Vishnu Manasa Devagiri, Elena Tsiporkova:
Bipartite Split-Merge Evolutionary Clustering. ICAART (Revised Selected Papers) 2019: 204-223 - [c33]Veselka Boeva, Milena Angelova, Elena Tsiporkova:
A Split-Merge Evolutionary Clustering Algorithm. ICAART (2) 2019: 337-346 - [c32]Christian Nordahl, Veselka Boeva, Håkan Grahn, Marie Persson Netz:
Profiling of Household Residents' Electricity Consumption Behavior Using Clustering Analysis. ICCS (5) 2019: 779-786 - [c31]Lars Lundberg, Håkan Lennerstad, Veselka Boeva, Eva García-Martín:
Handling Non-linear Relations in Support Vector Machines through Hyperplane Folding. ICMLC 2019: 137-141 - [c30]Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson:
District Heating Substation Behaviour Modelling for Annotating the Performance. PKDD/ECML Workshops (2) 2019: 3-11 - [c29]Veselka Boeva, Christian Nordahl:
Modeling Evolving User Behavior via Sequential Clustering. PKDD/ECML Workshops (2) 2019: 12-20 - 2018
- [j15]Veselka Boeva, Lars Lundberg, Sai M. Harsha Kota, Lars Sköld:
Evaluation of organizational structure through cluster validation analysis of email communications. J. Comput. Soc. Sci. 1(2): 327-347 (2018) - [c28]Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva:
Hoeffding Trees with Nmin Adaptation. DSAA 2018: 70-79 - [c27]Martin Boldt, Veselka Boeva, Anton Borg:
Multi-Expert Estimations of Burglars' Risk Exposure and Level of Pre-Crime Preparation Using Coded Crime Scene Data: Work in Progress. EISIC 2018: 77-80 - [c26]Veselka Boeva, Milena Angelova, Niklas Lavesson, Oliver Rosander, Elena Tsiporkova:
Evolutionary Clustering Techniques for Expertise Mining Scenarios. ICAART (2) 2018: 523-530 - [c25]Shahrooz Abghari, Veselka Boeva, Niklas Lavesson, Håkan Grahn, Selim Ickin, Jörgen Gustafsson:
A Minimum Spanning Tree Clustering Approach for Outlier Detection in Event Sequences. ICMLA 2018: 1123-1130 - [c24]Veselka Boeva, Lars Lundberg, Milena Angelova, Jan Kohstall:
Cluster Validation Measures for Label Noise Filtering. IEEE Conf. on Intelligent Systems 2018: 109-116 - [c23]Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva:
How to Measure Energy Consumption in Machine Learning Algorithms. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: 243-255 - [i1]Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva:
Hoeffding Trees with nmin adaptation. CoRR abs/1808.01145 (2018) - 2017
- [c22]Veselka Boeva, Milena Angelova, Elena Tsiporkova:
Data-driven Techniques for Expert Finding. ICAART (2) 2017: 535-542 - [c21]Veselka Boeva, Lars Lundberg, Sai M. Harsha Kota, Lars Skold:
Analysis of Organizational Structure Through Cluster Validation Techniques: Evaluation of Email Communications at an Organizational Level. ICDM Workshops 2017: 170-176 - [c20]Milena Angelova, Veselka Boeva, Elena Tsiporkova:
Advanced Data-driven Techniques for Mining Expertise. SAIS 2017: 137:005 - [c19]Martin Boldt, Veselka Boeva, Anton Borg:
Multi-expert estimations of burglars' risk exposure and level of pre-crime preparation based on crime scene data. SAIS 2017: 137:004 - [c18]Eva García Martín, Niklas Lavesson, Håkan Grahn, Veselka Boeva:
Energy Efficiency in Machine Learning: A position paper. SAIS 2017: 137:008 - 2016
- [j14]Borong Shao, Niklas Lavesson, Veselka Boeva, Raja Khurram Shahzad:
A mixture-of-experts approach for gene regulatory network inference. Int. J. Data Min. Bioinform. 14(3): 258-275 (2016) - [c17]Veselka Boeva, Milena Angelova, Lilyana Boneva, Elena Tsiporkova:
Identifying a group of subject experts using formal concept analysis. IEEE Conf. on Intelligent Systems 2016: 464-469 - 2014
- [j13]Niklas Lavesson, Veselka Boeva, Elena Tsiporkova, Paul Davidsson:
A method for evaluation of learning components. Autom. Softw. Eng. 21(1): 41-63 (2014) - [j12]Anna Hristoskova, Veselka Boeva, Elena Tsiporkova:
A Formal Concept Analysis Approach to Consensus Clustering of Multi-Experiment Expression Data. BMC Bioinform. 15: 151 (2014) - [j11]Anton Borg, Martin Boldt, Niklas Lavesson, Ulf Melander, Veselka Boeva:
Detecting serial residential burglaries using clustering. Expert Syst. Appl. 41(11): 5252-5266 (2014) - [j10]Veselka Boeva:
Clustering approaches for dealing with multiple DNA microarray datasets. J. Comput. Sci. 5(3): 368-376 (2014) - [c16]Veselka Boeva, Liliana Boneva, Elena Tsiporkova:
Semantic-Aware Expert Partitioning. AIMSA 2014: 13-24 - 2013
- [c15]Anton Borg, Niklas Lavesson, Veselka Boeva:
Comparison of Clustering Approaches for Gene Expression Data. SCAI 2013: 55-64 - 2012
- [c14]Veselka Boeva, Maria Krusheva, Elena Tsiporkova:
Measuring expertise similarity in expert networks. IEEE Conf. of Intelligent Systems 2012: 53-57 - [c13]Elena Kostadinova, Veselka Boeva, Liliana Boneva, Elena Tsiporkova:
An Integrative DTW-based imputation method for gene expression time series data. IEEE Conf. of Intelligent Systems 2012: 258-263 - [c12]Anna Hristoskova, Veselka Boeva, Elena Tsiporkova:
An Integrative Clustering Approach Combining Particle Swarm Optimization and Formal Concept Analysis. ITBAM 2012: 84-98 - 2011
- [c11]Elena Kostadinova, Veselka Boeva, Niklas Lavesson:
Clustering of Multiple Microarray Experiments Using Information Integration. ITBAM 2011: 123-137 - 2010
- [c10]Veselka Boeva, Elena Kostadinova:
An Adaptive Approach for Integration Analysis of Multiple Gene Expression Datasets. AIMSA 2010: 221-230 - [c9]Veselka Boeva, Petia Ivanova, Niklas Lavesson:
A hybrid computational method for the identification of cell cycle-regulated genes. IEEE Conf. of Intelligent Systems 2010: 390-395
2000 – 2009
- 2008
- [c8]Veselka Boeva, Elena Tsiporkova:
A Novel Adaptive Multiple Imputation Algorithm. BIRD 2008: 193-206 - [c7]Elena Tsiporkova, Veselka Boeva:
Fusing time series expression data through hybrid aggregation and hierarchical merge. ECCB 2008: 63-69 - 2007
- [j9]Elena Tsiporkova, Veselka Boeva:
Two-Pass Imputation Algorithm for Missing Value Estimation in gene Expression Time Series. J. Bioinform. Comput. Biol. 5(5): 1005-1022 (2007) - [c6]Elena Tsiporkova, Veselka Boeva:
Modelling and Simulation of the Genetic Phenomena of Additivity and Dominance via Gene Networks of Parallel Aggregation Processes. BIRD 2007: 199-211 - 2006
- [j8]Elena Tsiporkova, Veselka Boeva:
Multi-step ranking of alternatives in a multi-criteria and multi-expert decision making environment. Inf. Sci. 176(18): 2673-2697 (2006) - 2005
- [j7]Veselka Boeva, Bernard De Baets, Elena Tsiporkova:
Ranking of admissible alternatives in interval decision making. Int. J. Syst. Sci. 36(14): 897-907 (2005) - 2004
- [j6]Veselka Boeva, Love Ekenberg:
A transition logic for schemata conflicts. Data Knowl. Eng. 51(3): 277-294 (2004) - [j5]Elena Tsiporkova, Veselka Boeva:
Nonparametric recursive aggregation process. Kybernetika 40(1): 51-70 (2004) - [c5]Veselka Boeva:
Schema integration framed in modal logic. CompSysTech 2004: 1-6 - 2003
- [c4]Veselka Boeva:
A modal logic based approach to schema integration. CompSysTech 2003: 79-84 - 2001
- [c3]Veselka Boeva:
Dempster's Rule of Combination in Modal Logic. ISIPTA 2001: 62-67 - 2000
- [j4]Elena Tsiporkova, Bernard De Baets, Veselka Boeva:
Evidence theory in multivalued models of modal logic. J. Appl. Non Class. Logics 10(1): 55-81 (2000)
1990 – 1999
- 1999
- [j3]Elena Tsiporkova, Bernard De Baets, Veselka Boeva:
Dempster's rule of conditioning translated into modal logic. Fuzzy Sets Syst. 102(3): 371-383 (1999) - [j2]Elena Tsiporkova, Veselka Boeva, Bernard De Baets:
Dempster-Shafer theory framed in modal logic. Int. J. Approx. Reason. 21(2): 157-175 (1999) - [j1]Elena Tsiporkova, Veselka Boeva, Bernard De Baets:
Evidence Measures Induced by Kripke's Accessibility Relations. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 7(6): 589-613 (1999) - [c2]Veselka Boeva, Elena Tsiporkova, Bernard De Baets:
Plausibility and Belief Measures Induced by Kripke Models. ISIPTA 1999: 44-50 - 1998
- [c1]Veselka Boeva, Elena Tsiporkova, Bernard De Baets:
Modelling Uncertainty with Kripke's Semantics. AIMSA 1998: 129-140
Coauthor Index
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last updated on 2024-07-05 20:19 CEST by the dblp team
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