Veselka Boeva

发表

Identifying a group of subject experts using formal concept analysis

Veselka Boeva, Milena Angelova, Lilyana Boneva, 2016, 2016 IEEE 8th International Conference on Intelligent Systems (IS).

Detecting serial residential burglaries using clustering

Martin Boldt, Veselka Boeva, Niklas Lavesson, 2014, Expert Syst. Appl..

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

Veselka Boeva, Elena Tsiporkova, Anna Hristoskova, 2012, ITBAM.

Cluster Validation Measures for Label Noise Filtering

Lars Lundberg, Veselka Boeva, Milena Angelova, 2018, 2018 International Conference on Intelligent Systems (IS).

Measuring expertise similarity in expert networks

Veselka Boeva, Elena Tsiporkova, Maria Krusheva, 2012, 2012 6th IEEE International Conference Intelligent Systems.

Ensembles of Cluster Validation Indices for Label Noise Filtering

Lars Lundberg, Veselka Boeva, Milena Angelova, 2020 .

Layered Integration Approach for Multi-view Analysis of Temporal Data

Veselka Boeva, Michiel Dhont, Elena Tsiporkova, 2020, AALTD@PKDD/ECML.

Nonparametric recursive aggregation process

Veselka Boeva, Elena Tsiporkova, E. Tsiporkova, 2004, Kybernetika.

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

Veselka Boeva, Elena Tsiporkova, 2007, BIRD.

Ranking of admissible alternatives in interval decision making

Bernard De Baets, Veselka Boeva, Elena Tsiporkova, 2005, Int. J. Syst. Sci..

Evolutionary Clustering Techniques for Expertise Mining Scenarios

Veselka Boeva, Milena Angelova, Elena Tsiporkova, 2018, ICAART.

Clustering approaches for dealing with multiple DNA microarray datasets

Veselka Boeva, V. Boeva, 2014, J. Comput. Sci..

Decision analysis based on Kripke's semantics

Love Ekenberg, Veselka Boeva, V. Boeva, 2002, Proceedings First International IEEE Symposium Intelligent Systems.

An Adaptive Approach for Integration Analysis of Multiple Gene Expression Datasets

Veselka Boeva, Elena Kostadinova, V. Boeva, 2010, AIMSA.

Higher Order Mining for Monitoring District Heating Substations

Håkan Grahn, Veselka Boeva, Christian Johansson, 2019, 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Schema integration framed in modal logic

Veselka Boeva, 2004, CompSysTech '04.

Plausibility and Belief Measures Induced by Kripke Models

Bernard De Baets, Veselka Boeva, Elena Tsiporkova, 1999, ISIPTA.

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

Lars Lundberg, Veselka Boeva, Lars Skold, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

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

Veselka Boeva, Elena Tsiporkova, E. Tsiporkova, 2006, Inf. Sci..

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

Martin Boldt, Veselka Boeva, Anton Borg, 2017, SAIS.

A Collaborative Decision Support Platform for Product Release Definition

Veselka Boeva, Elena Tsiporkova, Tom Tourwé, 2010, 2010 Fifth International Conference on Internet and Web Applications and Services.

Acknowledgment to Reviewers

Paolo Bellavista, Asma Ben Letaifa, Luiz Fernando Bittencourt, 2020, Journal of Network and Systems Management.

How to Measure Energy Consumption in Machine Learning Algorithms

Håkan Grahn, Veselka Boeva, Niklas Lavesson, 2018, Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML.

Analysis of Multiple DNA Microarray Datasets

Veselka Boeva, Elena Tsiporkova, Elena Kostadinova, 2014 .

Modeling Evolving User Behavior via Sequential Clustering

Veselka Boeva, Christian Nordahl, V. Boeva, 2019, PKDD/ECML Workshops.

Clustering of multiple DNA microarrays through combination of particle swarm intelligence and K-means

Veselka Boeva, Elena Tsiporkova, Anna Hristoskova, 2011 .

A Hybrid DTW Based Method for Integration Analysis of Time Series Data

Veselka Boeva, Elena Kostadinova, 2009, 2009 International Conference on Adaptive and Intelligent Systems.

Advanced Data-driven Techniques for Mining Expertise

Veselka Boeva, Milena Angelova, Elena Tsiporkova, 2017, SAIS.

Comparison of Clustering Approaches for Gene Expression Data

Veselka Boeva, Niklas Lavesson, Anton Borg, 2013, SCAI.

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

Veselka Boeva, Elena Tsiporkova, E. Tsiporkova, 2007, J. Bioinform. Comput. Biol..

Dempster's Rule of Combination in Modal Logic

Veselka Boeva, 2001, ISIPTA.

Energy Efficiency in Machine Learning: A position paper

Håkan Grahn, Veselka Boeva, Niklas Lavesson, 2017, SAIS.

Evidence Measures Induced by Kripke's Accessibility Relations

Bernard De Baets, Veselka Boeva, Elena Tsiporkova, 1999, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Evaluation of organizational structure through cluster validation analysis of email communications

Lars Lundberg, Veselka Boeva, Lars Sköld, 2018, Journal of Computational Social Science.

Organizing, Visualizing and Understanding Households Electricity Consumption Data through Clustering Analysis.

Håkan Grahn, Veselka Boeva, Christian Nordahl, 2018, IJCAI 2018.

A method for evaluation of learning components

Veselka Boeva, Elena Tsiporkova, Paul Davidsson, 2014, Automated Software Engineering.

A collaborative method for identification and prioritization of data sources in MDRE

Tony Gorschek, Veselka Boeva, Michael Unterkalmsteiner, 2019 .

A Split-Merge Evolutionary Clustering Algorithm

Veselka Boeva, Milena Angelova, Elena Tsiporkova, 2019, ICAART.

Dempster's rule of conditioning translated into modal logic

Bernard De Baets, Veselka Boeva, Elena Tsiporkova, 1999, Fuzzy Sets Syst..

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

Veselka Boeva, Niklas Lavesson, Borong Shao, 2016, Int. J. Data Min. Bioinform..

Profiling of Household Residents' Electricity Consumption Behavior Using Clustering Analysis

Håkan Grahn, Veselka Boeva, Christian Nordahl, 2019, ICCS.

A Semantic Reasoning Engine for Lifestyle Profiling in Support of Personalised Coaching

Veselka Boeva, Milena Angelova, Elena Tsiporkova, 2015 .

A formal concept analysis approach to consensus clustering of multi-experiment expression data

Veselka Boeva, Elena Tsiporkova, Anna Hristoskova, 2014, BMC Bioinformatics.

A modal logic based approach to schema integration

Veselka Boeva, 2003, CompSysTech '03.

Fusing time series expression data through hybrid aggregation and hierarchical merge

Veselka Boeva, Elena Tsiporkova, E. Tsiporkova, 2008, ECCB.

Bipartite Split-Merge Evolutionary Clustering

Veselka Boeva, Milena Angelova, Elena Tsiporkova, 2019, ICAART.

An Expertise Recommender SystemBased on Data from an InstitutionalRepository (DiVA)

Veselka Boeva, Milena Angelova, Niklas Lavesson, 2018 .

Energy-aware very fast decision tree

Håkan Grahn, Veselka Boeva, Niklas Lavesson, 2021, International Journal of Data Science and Analytics.

A Novel Adaptive Multiple Imputation Algorithm

Veselka Boeva, Elena Tsiporkova, E. Tsiporkova, 2008, BIRD.

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

Veselka Boeva, Håkan Lennerstad, Lars Lundberg, 2019, ICMLC '19.

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, 2018, 2018 European Intelligence and Security Informatics Conference (EISIC).

A Multi-purpose Time Series Data Standardization Method

Veselka Boeva, Elena Tsiporkova, 2010 .

Dempster-Shafer theory framed in modal logic

Bernard De Baets, Veselka Boeva, Elena Tsiporkova, 1999, Int. J. Approx. Reason..

A Higher Order Mining Approach for the Analysis of Real-World Datasets

Håkan Grahn, Veselka Boeva, Jens P. Brage, 2020, Energies.

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

Veselka Boeva, Niklas Lavesson, Petia Ivanova, 2010, 2010 5th IEEE International Conference Intelligent Systems.

District Heating Substation Behaviour Modelling for Annotating the Performance

Veselka Boeva, Christian Johansson, Shahrooz Abghari, 2019, PKDD/ECML Workshops.

FCA as a means for consolidation of clustering results derived from multiple experiments

Veselka Boeva, Elena Tsiporkova, Anna Hristoskova, 2012 .

Semantic-Aware Expert Partitioning

Veselka Boeva, Elena Tsiporkova, Liliana Boneva, 2014, AIMSA.

A transition logic for schemata conflicts

Love Ekenberg, Veselka Boeva, L. Ekenberg, 2004, Data Knowl. Eng..

On possibilistic conditioning in modal logic

Bernard De Baets, Veselka Boeva, Elena Tsiporkova, 1997 .

An Expertise Recommender System based on Data from an Institutional Repository (DiVA)

Veselka Boeva, Milena Angelova, Niklas Lavesson, 2018, Connecting the Knowledge Commons — From Projects to Sustainable Infrastructure.

Analysis of M 14. Analysis of Multiple DNA Microarray Datasets

Veselka Boeva, Elena Tsiporkova, Elena Kostadinova, 2014 .

Split-Merge Evolutionary Clustering for Multi-View Streaming Data

Veselka Boeva, Elena Tsiporkova, Vishnu Manasa Devagiri, 2020, KES.

Data-driven Techniques for Expert Finding

Veselka Boeva, Milena Angelova, Elena Tsiporkova, 2017, ICAART.

Multi-view Clustering Analyses for District Heating Substations

Håkan Grahn, Veselka Boeva, Shahrooz Abghari, 2020, DATA.

Evidence theory in multivalued models of modal logic

Bernard De Baets, Veselka Boeva, Elena Tsiporkova, 2000, J. Appl. Non Class. Logics.

Modelling Uncertainty with Kripke's Semantics

Bernard De Baets, Veselka Boeva, Elena Tsiporkova, 1998, AIMSA.

Hoeffding Trees with Nmin Adaptation

Håkan Grahn, Veselka Boeva, Niklas Lavesson, 2018, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA).

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

Veselka Boeva, Elena Tsiporkova, Elena Kostadinova, 2012, 2012 6th IEEE International Conference Intelligent Systems.

Outlier Detection for Video Session Data Using Sequential Pattern Mining

Håkan Grahn, Veselka Boeva, Jörgen Gustafsson, 2018 .

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

Selim Ickin, Håkan Grahn, Veselka Boeva, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Clustering of Multiple Microarray Experiments Using Information Integration

Veselka Boeva, Niklas Lavesson, Elena Kostadinova, 2011, ITBAM.

A Multi-view Clustering Approach for Analysis of Streaming Data

Veselka Boeva, Shahrooz Abghari, Vishnu Manasa Devagiri, 2021, AIAI.

Advanced Discretisation and Visualisation Methods for Performance Profiling of Wind Turbines

Veselka Boeva, Elena Tsiporkova, Michiel Dhont, 2021, Energies.

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

Veselka Boeva, Emiliano Casalicchio, Ahmed A. Al-Saedi, 2021, 2021 8th International Conference on Future Internet of Things and Cloud (FiCloud).

Reducing Communication Overhead of Federated Learning through Clustering Analysis

Veselka Boeva, Emiliano Casalicchio, Ahmed A. Al-Saedi, 2021, 2021 IEEE Symposium on Computers and Communications (ISCC).

Decision Analysis with Kripke Semantics

Love Ekenberg, Veselka Boeva, 2002 .