Veselka Boeva

According to our database, Veselka Boeva authored at least 74 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Putting Sense into Incomplete Heterogeneous Data with Hypergraph Clustering Analysis.

Vishnu Manasa Devagiri, Pierre Dagnely, Veselka Boeva, Elena Tsiporkova

Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

Clients Behavior Monitoring in Federated Learning via Eccentricity Analysis.

Tharuka Kasthuri Arachchige, Selim Ickin, Shahrooz Abghari, Veselka Boeva

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

EdgeCluster: A Resource-Aware Evolving Clustering for Streaming Data.

Milena Angelova, Veselka Boeva, Shahrooz Abghari

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

2023

A Method for Identification and Ranking of Requirements Sources.

Eriks Klotins, Veselka Boeva, Krzysztof Wnuk, Michael Unterkalmsteiner, Tony Gorschek, Slinger Jansen

CoRR, 2023

HINTS: Human-Centered Intelligent Realities.

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

Proceedings of the 35th Annual Workshop of the Swedish Artificial Intelligence Society, 2023

Group-Personalized Federated Learning for Human Activity Recognition Through Cluster Eccentricity Analysis.

Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva

Proceedings of the Engineering Applications of Neural Networks, 2023

Mitigating Concept Drift in Distributed Contexts with Dynamic Repository of Federated Models.

Elena Tsiporkova, Michiel De Vis, Sarah Klein, Anna Hristoskova, Veselka Boeva

Proceedings of the IEEE International Conference on Big Data, 2023

MultiStream EvolveCluster.

Christian Nordahl, Veselka Boeva, Håkan Grahn

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022

Context-Aware Edge-Based AI Models for Wireless Sensor Networks - An Overview.

Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva, Emiliano Casalicchio, Peter Exner

Sensors, 2022

FedCO: Communication-Efficient Federated Learning via Clustering Optimization.

Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva, Emiliano Casalicchio

Future Internet, 2022

EvolveCluster: an evolutionary clustering algorithm for streaming data.

Christian Nordahl, Veselka Boeva, Håkan Grahn, Marie Persson Netz

Evol. Syst., 2022

An Inductive System Monitoring Approach for GNSS Activation.

Shahrooz Abghari, Veselka Boeva, Emiliano Casalicchio, Peter Exner

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

Domain Adaptation Through Cluster Integration and Correlation.

Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Distributed and Adaptive Edge-based AI Models for Sensor Networks (DAISeN).

Veselka Boeva, Emiliano Casalicchio, Shahrooz Abghari, Ahmed Abbas Mohsin Al-Saedi, Vishnu Manasa Devagiri, Andrej Petef, Peter Exner, Anders Isberg, Mirza Jasarevic

Proceedings of the Position Papers of the 17th Conference on Computer Science and Intelligence Systems, 2022

2021

Multi-View Data Analysis Techniques for Monitoring Smart Building Systems.

Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari, Farhad Basiri, Niklas Lavesson

Sensors, 2021

Energy-aware very fast decision tree.

Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva

Int. J. Data Sci. Anal., 2021

Reducing Communication Overhead of Federated Learning through Clustering Analysis.

Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva, Emiliano Casalicchio

Proceedings of the IEEE Symposium on Computers and Communications, 2021

A Multi-view Clustering Approach for Analysis of Streaming Data.

Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari

Proceedings of the Artificial Intelligence Applications and Innovations, 2021

Understanding Traffic Cruising Causation Via Parking Data Enhancement.

Mirza Jasarevic, Veselka Boeva, Fredrik Sjölin, Per-Olav Gramstad

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

An Energy-Aware Multi-Criteria Federated Learning Model for Edge Computing.

Ahmed Abbas Mohsin Al-Saedi, Emiliano Casalicchio, Veselka Boeva

Proceedings of the 8th International Conference on Future Internet of Things and Cloud, 2021

2020

Layered Integration Approach for Multi-view Analysis of Temporal Data.

Michiel Dhont, Elena Tsiporkova, Veselka Boeva

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020

Split-Merge Evolutionary Clustering for Multi-View Streaming Data.

Vishnu Manasa Devagiri, Veselka Boeva, Elena Tsiporkova

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Multi-view Data Mining Approach for Behaviour Analysis of Smart Control Valve.

Amirmohammad Eghbalian, Shahrooz Abghari, Veselka Boeva, Farhad Basiri

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Multi-view Clustering Analyses for District Heating Substations.

Shahrooz Abghari, Veselka Boeva, Jens Brage, Håkan Grahn

Proceedings of the 9th International Conference on Data Science, 2020

2019

Modeling Evolving User Behavior via Sequential Clustering.

Veselka Boeva, Christian Nordahl

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

District Heating Substation Behaviour Modelling for Annotating the Performance.

Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Handling Non-linear Relations in Support Vector Machines through Hyperplane Folding.

Lars Lundberg, Håkan Lennerstad, Veselka Boeva, Eva García-Martín

Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

Profiling of Household Residents' Electricity Consumption Behavior Using Clustering Analysis.

Christian Nordahl, Veselka Boeva, Håkan Grahn, Marie Persson Netz

Proceedings of the Computational Science - ICCS 2019, 2019

A Split-Merge Evolutionary Clustering Algorithm.

Veselka Boeva, Milena Angelova, Elena Tsiporkova

Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

Bipartite Split-Merge Evolutionary Clustering.

Veselka Boeva, Milena Angelova, Vishnu Manasa Devagiri, Elena Tsiporkova

Proceedings of the Agents and Artificial Intelligence - 11th International Conference, 2019

Higher Order Mining for Monitoring District Heating Substations.

Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson, Håkan Grahn, Niklas Lavesson

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018

Evaluation of organizational structure through cluster validation analysis of email communications.

Veselka Boeva, Lars Lundberg, Sai M. Harsha Kota, Lars Sköld

J. Comput. Soc. Sci., 2018

How to Measure Energy Consumption in Machine Learning Algorithms.

Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva

Proceedings of the ECML PKDD 2018 Workshops, 2018

Cluster Validation Measures for Label Noise Filtering.

Veselka Boeva, Lars Lundberg, Milena Angelova, Jan Kohstall

Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018

A Minimum Spanning Tree Clustering Approach for Outlier Detection in Event Sequences.

Shahrooz Abghari, Veselka Boeva, Niklas Lavesson, Håkan Grahn, Selim Ickin, Jörgen Gustafsson

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Evolutionary Clustering Techniques for Expertise Mining Scenarios.

Veselka Boeva, Milena Angelova, Niklas Lavesson, Oliver Rosander, Elena Tsiporkova

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Multi-Expert Estimations of Burglars' Risk Exposure and Level of Pre-Crime Preparation Using Coded Crime Scene Data: Work in Progress.

Martin Boldt, Veselka Boeva, Anton Borg

Proceedings of the European Intelligence and Security Informatics Conference, 2018

Hoeffding Trees with Nmin Adaptation.

Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017

Energy Efficiency in Machine Learning: A position paper.

Eva García Martín, Niklas Lavesson, Håkan Grahn, Veselka Boeva

Proceedings of the 30th Annual Workshop of the Swedish Artificial Intelligence Society, 2017

Multi-expert estimations of burglars' risk exposure and level of pre-crime preparation based on crime scene data.

Martin Boldt, Veselka Boeva, Anton Borg

Proceedings of the 30th Annual Workshop of the Swedish Artificial Intelligence Society, 2017

Advanced Data-driven Techniques for Mining Expertise.

Milena Angelova, Veselka Boeva, Elena Tsiporkova

Proceedings of the 30th Annual Workshop of the Swedish Artificial Intelligence Society, 2017

Analysis of Organizational Structure Through Cluster Validation Techniques: Evaluation of Email Communications at an Organizational Level.

Veselka Boeva, Lars Lundberg, Sai M. Harsha Kota, Lars Skold

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Data-driven Techniques for Expert Finding.

Veselka Boeva, Milena Angelova, Elena Tsiporkova

Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017

2016

A mixture-of-experts approach for gene regulatory network inference.

Borong Shao, Niklas Lavesson, Veselka Boeva, Raja Khurram Shahzad

Int. J. Data Min. Bioinform., 2016

Identifying a group of subject experts using formal concept analysis.

Veselka Boeva, Milena Angelova, Lilyana Boneva, Elena Tsiporkova

Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

2014

Clustering approaches for dealing with multiple DNA microarray datasets.

Veselka Boeva

J. Comput. Sci., 2014

Detecting serial residential burglaries using clustering.

Anton Borg, Martin Boldt, Niklas Lavesson, Ulf Melander, Veselka Boeva

Expert Syst. Appl., 2014

A Formal Concept Analysis Approach to Consensus Clustering of Multi-Experiment Expression Data.

Anna Hristoskova, Veselka Boeva, Elena Tsiporkova

BMC Bioinform., 2014

A method for evaluation of learning components.

Niklas Lavesson, Veselka Boeva, Elena Tsiporkova, Paul Davidsson

Autom. Softw. Eng., 2014

Semantic-Aware Expert Partitioning.

Veselka Boeva, Liliana Boneva, Elena Tsiporkova

Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2014

2013

Comparison of Clustering Approaches for Gene Expression Data.

Anton Borg, Niklas Lavesson, Veselka Boeva

Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013

2012

An Integrative Clustering Approach Combining Particle Swarm Optimization and Formal Concept Analysis.

Anna Hristoskova, Veselka Boeva, Elena Tsiporkova

Proceedings of the Information Technology in Bio- and Medical Informatics, 2012

An Integrative DTW-based imputation method for gene expression time series data.

Elena Kostadinova, Veselka Boeva, Liliana Boneva, Elena Tsiporkova

Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

Measuring expertise similarity in expert networks.

Veselka Boeva, Maria Krusheva, Elena Tsiporkova

Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

2011

Clustering of Multiple Microarray Experiments Using Information Integration.

Elena Kostadinova, Veselka Boeva, Niklas Lavesson

Proceedings of the Information Technology in Bio- and Medical Informatics, 2011

2010

A hybrid computational method for the identification of cell cycle-regulated genes.

Veselka Boeva, Petia Ivanova, Niklas Lavesson

Proceedings of the 5th IEEE International Conference on Intelligent Systems, 2010

An Adaptive Approach for Integration Analysis of Multiple Gene Expression Datasets.

Veselka Boeva, Elena Kostadinova

Proceedings of the Artificial Intelligence: Methodology, 2010

2008

Fusing time series expression data through hybrid aggregation and hierarchical merge.

Elena Tsiporkova, Veselka Boeva

Proceedings of the ECCB'08 Proceedings, 2008

A Novel Adaptive Multiple Imputation Algorithm.

Veselka Boeva, Elena Tsiporkova

Proceedings of the Bioinformatics Research and Development, 2008

2007

Two-Pass Imputation Algorithm for Missing Value Estimation in gene Expression Time Series.

Elena Tsiporkova, Veselka Boeva

J. Bioinform. Comput. Biol., 2007

Modelling and Simulation of the Genetic Phenomena of Additivity and Dominance via Gene Networks of Parallel Aggregation Processes.

Elena Tsiporkova, Veselka Boeva

Proceedings of the Bioinformatics Research and Development, First International Conference, 2007

2006

Multi-step ranking of alternatives in a multi-criteria and multi-expert decision making environment.

Elena Tsiporkova, Veselka Boeva

Inf. Sci., 2006

2005

Ranking of admissible alternatives in interval decision making.

Veselka Boeva, Bernard De Baets, Elena Tsiporkova

Int. J. Syst. Sci., 2005

2004

Nonparametric recursive aggregation process.

Elena Tsiporkova, Veselka Boeva

Kybernetika, 2004

A transition logic for schemata conflicts.

Veselka Boeva, Love Ekenberg

Data Knowl. Eng., 2004

Schema integration framed in modal logic.

Veselka Boeva

Proceedings of the 5th International Conference on Computer Systems and Technologies, 2004

2003

A modal logic based approach to schema integration.

Veselka Boeva

Proceedings of the 4th International Conference on Computer Systems and Technologies: e-Learning, 2003

2001

Dempster's Rule of Combination in Modal Logic.

Veselka Boeva

Proceedings of the ISIPTA '01, 2001

2000

Evidence theory in multivalued models of modal logic.

Elena Tsiporkova, Bernard De Baets, Veselka Boeva

J. Appl. Non Class. Logics, 2000

1999

Evidence Measures Induced by Kripke's Accessibility Relations.

Elena Tsiporkova, Veselka Boeva, Bernard De Baets

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1999

Dempster-Shafer theory framed in modal logic.

Elena Tsiporkova, Veselka Boeva, Bernard De Baets

Int. J. Approx. Reason., 1999

Dempster's rule of conditioning translated into modal logic.

Elena Tsiporkova, Bernard De Baets, Veselka Boeva

Fuzzy Sets Syst., 1999

Plausibility and Belief Measures Induced by Kripke Models.

Veselka Boeva, Elena Tsiporkova, Bernard De Baets

Proceedings of the ISIPTA '99, Proceedings of the First International Symposium on Imprecise Probabilities and Their Applications, held at the Conference Center "Het Pand" of the Universiteit Gent, Ghent, Belgium, 29 June, 1999

1998

Modelling Uncertainty with Kripke's Semantics.

Veselka Boeva, Elena Tsiporkova, Bernard De Baets

Proceedings of the Artificial Intelligence: Methodology, 1998