Modelling Uncertainty with Kripke's Semantics. - Veselka Boeva; Elena Tsiporkova; Bernard De Baets (AIMSA, 1998)

Plausibility and Belief Measures Induced by Kripke Models. - Veselka Boeva; Elena Tsiporkova; Bernard De Baets (ISIPTA, 1999)

Dempster's rule of conditioning translated into modal logic. - Elena Tsiporkova; Bernard De Baets; Veselka Boeva (Fuzzy Sets Syst., 1999)

Dempster-Shafer theory framed in modal logic. - Elena Tsiporkova; Veselka Boeva; Bernard De Baets (Int. J. Approx. Reason., 1999)

Evidence Measures Induced by Kripke's Accessibility Relations. - Elena Tsiporkova; Veselka Boeva; Bernard De Baets (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1999)

Evidence theory in multivalued models of modal logic. - Elena Tsiporkova; Bernard De Baets; Veselka Boeva (J. Appl. Non Class. Logics, 2000)

Dempster's Rule of Combination in Modal Logic. - Veselka Boeva (ISIPTA, 2001)

A modal logic based approach to schema integration. - Veselka Boeva (CompSysTech, 2003)

Schema integration framed in modal logic. - Veselka Boeva (CompSysTech, 2004)

A transition logic for schemata conflicts. - Veselka Boeva; Love Ekenberg (Data Knowl. Eng., 2004)

Nonparametric recursive aggregation process. - Elena Tsiporkova; Veselka Boeva (Kybernetika, 2004)

Ranking of admissible alternatives in interval decision making. - Veselka Boeva; Bernard De Baets; Elena Tsiporkova (Int. J. Syst. Sci., 2005)

Multi-step ranking of alternatives in a multi-criteria and multi-expert decision making environment. - Elena Tsiporkova; Veselka Boeva (Inf. Sci., 2006)

Modelling and Simulation of the Genetic Phenomena of Additivity and Dominance via Gene Networks of Parallel Aggregation Processes. - Elena Tsiporkova; Veselka Boeva (BIRD, 2007)

Two-Pass Imputation Algorithm for Missing Value Estimation in gene Expression Time Series. - Elena Tsiporkova; Veselka Boeva (J. Bioinform. Comput. Biol., 2007)

A Novel Adaptive Multiple Imputation Algorithm. - Veselka Boeva; Elena Tsiporkova (BIRD, 2008)

Fusing time series expression data through hybrid aggregation and hierarchical merge. - Elena Tsiporkova; Veselka Boeva (ECCB, 2008)

An Adaptive Approach for Integration Analysis of Multiple Gene Expression Datasets. - Veselka Boeva; Elena Kostadinova (AIMSA, 2010)

A hybrid computational method for the identification of cell cycle-regulated genes. - Veselka Boeva; Petia Ivanova; Niklas Lavesson (IEEE Conf. of Intelligent Systems, 2010)

Clustering of Multiple Microarray Experiments Using Information Integration. - Elena Kostadinova; Veselka Boeva; Niklas Lavesson (ITBAM, 2011)

Measuring expertise similarity in expert networks. - Veselka Boeva; Maria Krusheva; Elena Tsiporkova (IEEE Conf. of Intelligent Systems, 2012)

An Integrative DTW-based imputation method for gene expression time series data. - Elena Kostadinova; Veselka Boeva; Liliana Boneva; Elena Tsiporkova (IEEE Conf. of Intelligent Systems, 2012)

An Integrative Clustering Approach Combining Particle Swarm Optimization and Formal Concept Analysis. - Anna Hristoskova; Veselka Boeva; Elena Tsiporkova (ITBAM, 2012)

Comparison of Clustering Approaches for Gene Expression Data. - Anton Borg; Niklas Lavesson; Veselka Boeva (SCAI, 2013)

Semantic-Aware Expert Partitioning. - Veselka Boeva; Liliana Boneva; Elena Tsiporkova (AIMSA, 2014)

A method for evaluation of learning components. - Niklas Lavesson; Veselka Boeva; Elena Tsiporkova; Paul Davidsson (Autom. Softw. Eng., 2014)

A Formal Concept Analysis Approach to Consensus Clustering of Multi-Experiment Expression Data. - Anna Hristoskova; Veselka Boeva; Elena Tsiporkova (BMC Bioinform., 2014)

Detecting serial residential burglaries using clustering. - Anton Borg; Martin Boldt; Niklas Lavesson; Ulf Melander; Veselka Boeva (Expert Syst. Appl., 2014)

Clustering approaches for dealing with multiple DNA microarray datasets. - Veselka Boeva (J. Comput. Sci., 2014)

Identifying a group of subject experts using formal concept analysis. - Veselka Boeva; Milena Angelova; Lilyana Boneva; Elena Tsiporkova (IEEE Conf. on Intelligent Systems, 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)

Data-driven Techniques for Expert Finding. - Veselka Boeva; Milena Angelova; Elena Tsiporkova (ICAART (2), 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 (ICDM Workshops, 2017)

Advanced Data-driven Techniques for Mining Expertise. - Milena Angelova; Veselka Boeva; Elena Tsiporkova (SAIS, 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 (SAIS, 2017)

Energy Efficiency in Machine Learning: A position paper. - Eva García Martín; Niklas Lavesson; Håkan Grahn; Veselka Boeva (SAIS, 2017)

Hoeffding Trees with Nmin Adaptation. - Eva García-Martín; Niklas Lavesson; Håkan Grahn; Emiliano Casalicchio; Veselka Boeva (DSAA, 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 (EISIC, 2018)

Evolutionary Clustering Techniques for Expertise Mining Scenarios. - Veselka Boeva; Milena Angelova; Niklas Lavesson; Oliver Rosander; Elena Tsiporkova (ICAART (2), 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 (ICMLA, 2018)

Cluster Validation Measures for Label Noise Filtering. - Veselka Boeva; Lars Lundberg; Milena Angelova; Jan Kohstall (IEEE Conf. on Intelligent Systems, 2018)

How to Measure Energy Consumption in Machine Learning Algorithms. - Eva García-Martín; Niklas Lavesson; Håkan Grahn; Emiliano Casalicchio; Veselka Boeva (Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, 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)

Higher Order Mining for Monitoring District Heating Substations. - Shahrooz Abghari; Veselka Boeva; Jens Brage; Christian Johansson; Håkan Grahn; Niklas Lavesson (DSAA, 2019)

Bipartite Split-Merge Evolutionary Clustering. - Veselka Boeva; Milena Angelova; Vishnu Manasa Devagiri; Elena Tsiporkova (ICAART (Revised Selected Papers), 2019)

A Split-Merge Evolutionary Clustering Algorithm. - Veselka Boeva; Milena Angelova; Elena Tsiporkova (ICAART (2), 2019)

Profiling of Household Residents' Electricity Consumption Behavior Using Clustering Analysis. - Christian Nordahl; Veselka Boeva; Håkan Grahn; Marie Persson Netz (ICCS (5), 2019)

Handling Non-linear Relations in Support Vector Machines through Hyperplane Folding. - Lars Lundberg; Håkan Lennerstad; Veselka Boeva; Eva García-Martín (ICMLC, 2019)

District Heating Substation Behaviour Modelling for Annotating the Performance. - Shahrooz Abghari; Veselka Boeva; Jens Brage; Christian Johansson (PKDD/ECML Workshops (2), 2019)

Modeling Evolving User Behavior via Sequential Clustering. - Veselka Boeva; Christian Nordahl (PKDD/ECML Workshops (2), 2019)

Multi-view Clustering Analyses for District Heating Substations. - Shahrooz Abghari; Veselka Boeva; Jens Brage; Håkan Grahn (DATA, 2020)

Multi-view Data Mining Approach for Behaviour Analysis of Smart Control Valve. - Amirmohammad Eghbalian; Shahrooz Abghari; Veselka Boeva; Farhad Basiri (ICMLA, 2020)

Split-Merge Evolutionary Clustering for Multi-View Streaming Data. - Vishnu Manasa Devagiri; Veselka Boeva; Elena Tsiporkova (KES, 2020)

Layered Integration Approach for Multi-view Analysis of Temporal Data. - Michiel Dhont; Elena Tsiporkova; Veselka Boeva (AALTD@PKDD/ECML, 2020)

An Energy-Aware Multi-Criteria Federated Learning Model for Edge Computing. - Ahmed Abbas Mohsin Al-Saedi; Emiliano Casalicchio; Veselka Boeva (FiCloud, 2021)

Understanding Traffic Cruising Causation Via Parking Data Enhancement. - Mirza Jasarevic; Veselka Boeva; Fredrik Sjölin; Per-Olav Gramstad (ICMLA, 2021)

A Multi-view Clustering Approach for Analysis of Streaming Data. - Vishnu Manasa Devagiri; Veselka Boeva; Shahrooz Abghari (AIAI, 2021)

Reducing Communication Overhead of Federated Learning through Clustering Analysis. - Ahmed Abbas Mohsin Al-Saedi; Veselka Boeva; Emiliano Casalicchio (ISCC, 2021)

Energy-aware very fast decision tree. - Eva García-Martín; Niklas Lavesson; Håkan Grahn; Emiliano Casalicchio; Veselka Boeva (Int. J. Data Sci. Anal., 2021)

Multi-View Data Analysis Techniques for Monitoring Smart Building Systems. - Vishnu Manasa Devagiri; Veselka Boeva; Shahrooz Abghari; Farhad Basiri; Niklas Lavesson (Sensors, 2021)

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 (FedCSIS (Position Papers), 2022)

Domain Adaptation Through Cluster Integration and Correlation. - Vishnu Manasa Devagiri; Veselka Boeva; Shahrooz Abghari (ICDM (Workshops), 2022)

An Inductive System Monitoring Approach for GNSS Activation. - Shahrooz Abghari; Veselka Boeva; Emiliano Casalicchio; Peter Exner (AIAI (2), 2022)

EvolveCluster: an evolutionary clustering algorithm for streaming data. - Christian Nordahl; Veselka Boeva; Håkan Grahn; Marie Persson Netz (Evol. Syst., 2022)

FedCO: Communication-Efficient Federated Learning via Clustering Optimization. - Ahmed Abbas Mohsin Al-Saedi; Veselka Boeva; Emiliano Casalicchio (Future Internet, 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)

MultiStream EvolveCluster. - Christian Nordahl; Veselka Boeva; Håkan Grahn (Canadian AI, 2023)

Mitigating Concept Drift in Distributed Contexts with Dynamic Repository of Federated Models. - Elena Tsiporkova; Michiel De Vis; Sarah Klein; Anna Hristoskova; Veselka Boeva (IEEE Big Data, 2023)

Group-Personalized Federated Learning for Human Activity Recognition Through Cluster Eccentricity Analysis. - Ahmed Abbas Mohsin Al-Saedi; Veselka Boeva (EANN, 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; et al. (SAIS, 2023)

A Method for Identification and Ranking of Requirements Sources. - Eriks Klotins; Veselka Boeva; Krzysztof Wnuk; Michael Unterkalmsteiner; Tony Gorschek; Slinger Jansen (CoRR, 2023)

Multi-layered Clustering for Context-aware Monitoring of District Heating Network. - Veselka Boeva; Shahrooz Abghari; Vishnu Manasa Devagiri; Jens Brage (IEEE Big Data, 2024)

Interpretable Data-Driven Risk Assessment in Support of Predictive Maintenance of a Large Portfolio of Industrial Vehicles. - Fabian Fingerhut; Elena Tsiporkova; Veselka Boeva (IEEE Big Data, 2024)

EdgeCluster: A Resource-Aware Evolving Clustering for Streaming Data. - Milena Angelova; Veselka Boeva; Shahrooz Abghari (EAIS, 2024)

Clients Behavior Monitoring in Federated Learning via Eccentricity Analysis. - Tharuka Kasthuri Arachchige; Selim Ickin; Shahrooz Abghari; Veselka Boeva (EAIS, 2024)

Putting Sense into Incomplete Heterogeneous Data with Hypergraph Clustering Analysis. - Vishnu Manasa Devagiri; Pierre Dagnely; Veselka Boeva; Elena Tsiporkova (IDA (2), 2024)

Towards an Ethical and Data Privacy Metrology for AI-Enriched Human-Centered XR Systems. - Yan Hu; Kurt Tutschku; Veselka Boeva; Prashant Goswami; Shahrooz Abghari; Veronica Sundstedt (MetroXRAINE, 2024)

ADF-SL: An Adaptive and Fair Scheme for Smart Learning Task Distribution. - Ahmed Abbas Mohsin Al-Saedi; Veselka Boeva (IEEE Access, 2025)

On Evaluation of Data Stream Clustering Algorithms: A Survey. - Christian Nordahl; Veselka Boeva; Håkan Grahn; Marie Persson Netz (IEEE Access, 2025)

Contribution prediction in federated learning via client behavior evaluation. - Ahmed Abbas Mohsin Al-Saedi; Veselka Boeva; Emiliano Casalicchio (Future Gener. Comput. Syst., 2025)

A domain adaptation technique through cluster boundary integration. - Vishnu Manasa Devagiri; Veselka Boeva; Shahrooz Abghari (Evol. Syst., 2025)