Veselka Boeva

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 46

Top Topics

Organizational Structure

Evolutionary Clustering

Email Communication

Top Venues

Publications

Vishnu Manasa Devagiri, Pierre Dagnely, Veselka Boeva, Elena Tsiporkova
Putting Sense into Incomplete Heterogeneous Data with Hypergraph Clustering Analysis. IDA (2) (2024)
Tharuka Kasthuri Arachchige, Selim Ickin, Shahrooz Abghari, Veselka Boeva
Clients Behavior Monitoring in Federated Learning via Eccentricity Analysis. EAIS (2024)
Milena Angelova, Veselka Boeva, Shahrooz Abghari
EdgeCluster: A Resource-Aware Evolving Clustering for Streaming Data. EAIS (2024)
Christian Nordahl, Veselka Boeva, Håkan Grahn
MultiStream EvolveCluster. Canadian AI (2023)
Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva
Group-Personalized Federated Learning for Human Activity Recognition Through Cluster Eccentricity Analysis. EANN (2023)
Elena Tsiporkova, Michiel De Vis, Sarah Klein, Anna Hristoskova, Veselka Boeva
Mitigating Concept Drift in Distributed Contexts with Dynamic Repository of Federated Models. BigData (2023)
Eriks Klotins, Veselka Boeva, Krzysztof Wnuk, Michael Unterkalmsteiner, Tony Gorschek, Slinger Jansen
A Method for Identification and Ranking of Requirements Sources. CoRR (2023)
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)
Christian Nordahl, Veselka Boeva, Håkan Grahn, Marie Persson Netz
EvolveCluster: an evolutionary clustering algorithm for streaming data. Evol. Syst. 13 (4) (2022)
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)
Shahrooz Abghari, Veselka Boeva, Emiliano Casalicchio, Peter Exner
An Inductive System Monitoring Approach for GNSS Activation. AIAI (2) (2022)
Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari
Domain Adaptation Through Cluster Integration and Correlation. ICDM (Workshops) (2022)
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) (2022)
Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva, Emiliano Casalicchio
FedCO: Communication-Efficient Federated Learning via Clustering Optimization. Future Internet 14 (12) (2022)
Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
Energy-aware very fast decision tree. Int. J. Data Sci. Anal. 11 (2) (2021)
Ahmed A. Al-Saedi, Emiliano Casalicchio, Veselka Boeva
An Energy-Aware Multi-Criteria Federated Learning Model for Edge Computing. FiCloud (2021)
Ahmed A. Al-Saedi, Veselka Boeva, Emiliano Casalicchio
Reducing Communication Overhead of Federated Learning through Clustering Analysis. ISCC (2021)
Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari, Farhad Basiri, Niklas Lavesson
Multi-View Data Analysis Techniques for Monitoring Smart Building Systems. Sensors 21 (20) (2021)
Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari
A Multi-view Clustering Approach for Analysis of Streaming Data. AIAI (2021)
Mirza Jasarevic, Veselka Boeva, Fredrik Sjölin, Per-Olav Gramstad
Understanding Traffic Cruising Causation Via Parking Data Enhancement. ICMLA (2021)
Shahrooz Abghari, Veselka Boeva, Jens Brage, Håkan Grahn
Multi-view Clustering Analyses for District Heating Substations. DATA (2020)
Amirmohammad Eghbalian, Shahrooz Abghari, Veselka Boeva, Farhad Basiri
Multi-view Data Mining Approach for Behaviour Analysis of Smart Control Valve. ICMLA (2020)
Michiel Dhont, Elena Tsiporkova, Veselka Boeva
Layered Integration Approach for Multi-view Analysis of Temporal Data. AALTD@PKDD/ECML (2020)
Vishnu Manasa Devagiri, Veselka Boeva, Elena Tsiporkova
Split-Merge Evolutionary Clustering for Multi-View Streaming Data. KES (2020)
Lars Lundberg, Håkan Lennerstad, Veselka Boeva, Eva García-Martín
Handling Non-linear Relations in Support Vector Machines through Hyperplane Folding. ICMLC (2019)
Christian Nordahl, Veselka Boeva, Håkan Grahn, Marie Persson Netz
Profiling of Household Residents' Electricity Consumption Behavior Using Clustering Analysis. ICCS (5) (2019)
Veselka Boeva, Milena Angelova, Elena Tsiporkova
A Split-Merge Evolutionary Clustering Algorithm. ICAART (2) (2019)
Veselka Boeva, Christian Nordahl
Modeling Evolving User Behavior via Sequential Clustering. PKDD/ECML Workshops (2) (2019)
Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson, Håkan Grahn, Niklas Lavesson
Higher Order Mining for Monitoring District Heating Substations. DSAA (2019)
Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson
District Heating Substation Behaviour Modelling for Annotating the Performance. PKDD/ECML Workshops (2) (2019)
Veselka Boeva, Milena Angelova, Vishnu Manasa Devagiri, Elena Tsiporkova
Bipartite Split-Merge Evolutionary Clustering. ICAART (Revised Selected Papers) (2019)
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)
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) (2018)
Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
Hoeffding Trees with Nmin Adaptation. DSAA (2018)
Veselka Boeva, Lars Lundberg, Milena Angelova, Jan Kohstall
Cluster Validation Measures for Label Noise Filtering. IEEE Conf. on Intelligent Systems (2018)
Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
Hoeffding Trees with nmin adaptation. CoRR (2018)
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)
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)
Veselka Boeva, Milena Angelova, Niklas Lavesson, Oliver Rosander, Elena Tsiporkova
Evolutionary Clustering Techniques for Expertise Mining Scenarios. ICAART (2) (2018)
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)
Eva García Martín, Niklas Lavesson, Håkan Grahn, Veselka Boeva
Energy Efficiency in Machine Learning: A position paper. SAIS (2017)
Veselka Boeva, Milena Angelova, Elena Tsiporkova
Data-driven Techniques for Expert Finding. ICAART (2) (2017)
Milena Angelova, Veselka Boeva, Elena Tsiporkova
Advanced Data-driven Techniques for Mining Expertise. SAIS (2017)
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)
Veselka Boeva, Milena Angelova, Lilyana Boneva, Elena Tsiporkova
Identifying a group of subject experts using formal concept analysis. IEEE Conf. on Intelligent Systems (2016)
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) (2016)
Anton Borg, Martin Boldt, Niklas Lavesson, Ulf Melander, Veselka Boeva
Detecting serial residential burglaries using clustering. Expert Syst. Appl. 41 (11) (2014)
Anna Hristoskova, Veselka Boeva, Elena Tsiporkova
A Formal Concept Analysis Approach to Consensus Clustering of Multi-Experiment Expression Data. BMC Bioinform. 15 (2014)
Veselka Boeva
Clustering approaches for dealing with multiple DNA microarray datasets. J. Comput. Sci. 5 (3) (2014)
Veselka Boeva, Liliana Boneva, Elena Tsiporkova
Semantic-Aware Expert Partitioning. AIMSA (2014)
Niklas Lavesson, Veselka Boeva, Elena Tsiporkova, Paul Davidsson
A method for evaluation of learning components. Autom. Softw. Eng. 21 (1) (2014)
Anton Borg, Niklas Lavesson, Veselka Boeva
Comparison of Clustering Approaches for Gene Expression Data. SCAI (2013)
Anna Hristoskova, Veselka Boeva, Elena Tsiporkova
An Integrative Clustering Approach Combining Particle Swarm Optimization and Formal Concept Analysis. ITBAM (2012)
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)
Veselka Boeva, Maria Krusheva, Elena Tsiporkova
Measuring expertise similarity in expert networks. IEEE Conf. of Intelligent Systems (2012)
Elena Kostadinova, Veselka Boeva, Niklas Lavesson
Clustering of Multiple Microarray Experiments Using Information Integration. ITBAM (2011)
Veselka Boeva, Elena Kostadinova
An Adaptive Approach for Integration Analysis of Multiple Gene Expression Datasets. AIMSA (2010)
Veselka Boeva, Petia Ivanova, Niklas Lavesson
A hybrid computational method for the identification of cell cycle-regulated genes. IEEE Conf. of Intelligent Systems (2010)
Veselka Boeva, Elena Tsiporkova
A Novel Adaptive Multiple Imputation Algorithm. BIRD (2008)
Elena Tsiporkova, Veselka Boeva
Fusing time series expression data through hybrid aggregation and hierarchical merge. ECCB (2008)
Elena Tsiporkova, Veselka Boeva
Modelling and Simulation of the Genetic Phenomena of Additivity and Dominance via Gene Networks of Parallel Aggregation Processes. BIRD (2007)
Elena Tsiporkova, Veselka Boeva
Two-Pass Imputation Algorithm for Missing Value Estimation in gene Expression Time Series. J. Bioinform. Comput. Biol. 5 (5) (2007)
Elena Tsiporkova, Veselka Boeva
Multi-step ranking of alternatives in a multi-criteria and multi-expert decision making environment. Inf. Sci. 176 (18) (2006)
Veselka Boeva, Bernard De Baets, Elena Tsiporkova
Ranking of admissible alternatives in interval decision making. Int. J. Syst. Sci. 36 (14) (2005)
Veselka Boeva
Schema integration framed in modal logic. CompSysTech (2004)
Elena Tsiporkova, Veselka Boeva
Nonparametric recursive aggregation process. Kybernetika 40 (1) (2004)
Veselka Boeva, Love Ekenberg
A transition logic for schemata conflicts. Data Knowl. Eng. 51 (3) (2004)
Veselka Boeva
A modal logic based approach to schema integration. CompSysTech (2003)
Veselka Boeva
Dempster's Rule of Combination in Modal Logic. ISIPTA (2001)
Elena Tsiporkova, Bernard De Baets, Veselka Boeva
Evidence theory in multivalued models of modal logic. J. Appl. Non Class. Logics 10 (1) (2000)
Elena Tsiporkova, Bernard De Baets, Veselka Boeva
Dempster's rule of conditioning translated into modal logic. Fuzzy Sets Syst. 102 (3) (1999)
Veselka Boeva, Elena Tsiporkova, Bernard De Baets
Plausibility and Belief Measures Induced by Kripke Models. ISIPTA (1999)
Elena Tsiporkova, Veselka Boeva, Bernard De Baets
Dempster-Shafer theory framed in modal logic. Int. J. Approx. Reason. 21 (2) (1999)
Elena Tsiporkova, Veselka Boeva, Bernard De Baets
Evidence Measures Induced by Kripke's Accessibility Relations. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 7 (6) (1999)
Veselka Boeva, Elena Tsiporkova, Bernard De Baets
Modelling Uncertainty with Kripke's Semantics. AIMSA (1998)