Veselka Boeva - RankMe

87 papers B 6C 9Misc 5Journal 28Unranked 39

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A domain adaptation technique through cluster boundary integration. Evol. Syst. Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari
2025	J	`jnl`	ADF-SL: An Adaptive and Fair Scheme for Smart Learning Task Distribution. IEEE Access Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva
2025	C	`conf`	An evidence-based neuro-symbolic framework for ambiguous image scene classification. NeSy Giulia Murtas, Veselka Boeva, Elena Tsiporkova
2025	J	`jnl`	Contribution prediction in federated learning via client behavior evaluation. Future Gener. Comput. Syst. Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva, Emiliano Casalicchio
2025	C	`conf`	Exploring Dynamic Hypergraphs for Clustering Analysis of District Heating Data. VINCI Valeria Garro, Ilir Jusufi, Shahrooz Abghari, Jens Brage, Veselka Boeva
2025	J	`jnl`	FeDABoost: Fairness Aware Federated Learning with Adaptive Boosting. CoRR Tharuka Kasthuri Arachchige, Veselka Boeva, Shahrooz Abghari
2025	—	`conf`	FedCluLearn: Federated Continual Learning Using Stream Micro-cluster Indexing Scheme. ECML/PKDD (2) Milena Angelova, Veselka Boeva, Shahrooz Abghari, Selim Ickin, Xiaoyu Lan
2025	J	`jnl`	On Evaluation of Data Stream Clustering Algorithms: A Survey. IEEE Access Christian Nordahl, Veselka Boeva, Håkan Grahn, Marie Persson Netz
2025	J	`jnl`	Sample Selection Methods for Federated Continual Learning in a Time Series Context. IEEE Access Selim Ickin, Xiaoyu Lan, Milena Angelova, Shahrooz Abghari, Veselka Boeva
2024	—	`conf`	Clients Behavior Monitoring in Federated Learning via Eccentricity Analysis. EAIS Tharuka Kasthuri Arachchige, Selim Ickin, Shahrooz Abghari, Veselka Boeva
2024	—	`conf`	EdgeCluster: A Resource-Aware Evolving Clustering for Streaming Data. EAIS Milena Angelova, Veselka Boeva, Shahrooz Abghari
2024	B	`conf`	Interpretable Data-Driven Risk Assessment in Support of Predictive Maintenance of a Large Portfolio of Industrial Vehicles. IEEE Big Data Fabian Fingerhut, Elena Tsiporkova, Veselka Boeva
2024	B	`conf`	Multi-layered Clustering for Context-aware Monitoring of District Heating Network. IEEE Big Data Veselka Boeva, Shahrooz Abghari, Vishnu Manasa Devagiri, Jens Brage
2024	—	`conf`	Putting Sense into Incomplete Heterogeneous Data with Hypergraph Clustering Analysis. IDA (2) Vishnu Manasa Devagiri, Pierre Dagnely, Veselka Boeva, Elena Tsiporkova
2024	—	`conf`	Towards an Ethical and Data Privacy Metrology for AI-Enriched Human-Centered XR Systems. MetroXRAINE Yan Hu, Kurt Tutschku, Veselka Boeva, Prashant Goswami, Shahrooz Abghari, Veronica Sundstedt
2023	J	`jnl`	A Method for Identification and Ranking of Requirements Sources. CoRR Eriks Klotins, Veselka Boeva, Krzysztof Wnuk, Michael Unterkalmsteiner, Tony Gorschek, Slinger Jansen
2023	C	`conf`	Group-Personalized Federated Learning for Human Activity Recognition Through Cluster Eccentricity Analysis. EANN Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva
2023	—	`conf`	HINTS: Human-Centered Intelligent Realities. SAIS 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
2023	B	`conf`	Mitigating Concept Drift in Distributed Contexts with Dynamic Repository of Federated Models. IEEE Big Data Elena Tsiporkova, Michiel De Vis, Sarah Klein, Anna Hristoskova, Veselka Boeva
2023	—	`conf`	MultiStream EvolveCluster. Canadian AI Christian Nordahl, Veselka Boeva, Håkan Grahn
2022	—	`conf`	An Inductive System Monitoring Approach for GNSS Activation. AIAI (2) Shahrooz Abghari, Veselka Boeva, Emiliano Casalicchio, Peter Exner
2022	J	`jnl`	Context-Aware Edge-Based AI Models for Wireless Sensor Networks - An Overview. Sensors Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva, Emiliano Casalicchio, Peter Exner
2022	—	`conf`	Distributed and Adaptive Edge-based AI Models for Sensor Networks (DAISeN). FedCSIS (Position Papers) Veselka Boeva, Emiliano Casalicchio, Shahrooz Abghari, Ahmed Abbas Mohsin Al-Saedi, Vishnu Manasa Devagiri, Andrej Petef, Peter Exner, Anders Isberg, Mirza Jasarevic
2022	—	`conf`	Domain Adaptation Through Cluster Integration and Correlation. ICDM (Workshops) Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari
2022	J	`jnl`	EvolveCluster: an evolutionary clustering algorithm for streaming data. Evol. Syst. Christian Nordahl, Veselka Boeva, Håkan Grahn, Marie Persson Netz
2022	J	`jnl`	FedCO: Communication-Efficient Federated Learning via Clustering Optimization. Future Internet Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva, Emiliano Casalicchio
2021	Misc	`conf`	A Multi-view Clustering Approach for Analysis of Streaming Data. AIAI Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari
2021	—	`conf`	An Energy-Aware Multi-Criteria Federated Learning Model for Edge Computing. FiCloud Ahmed Abbas Mohsin Al-Saedi, Emiliano Casalicchio, Veselka Boeva
2021	J	`jnl`	Energy-aware very fast decision tree. Int. J. Data Sci. Anal. Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
2021	J	`jnl`	Multi-View Data Analysis Techniques for Monitoring Smart Building Systems. Sensors Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari, Farhad Basiri, Niklas Lavesson
2021	C	`conf`	Reducing Communication Overhead of Federated Learning through Clustering Analysis. ISCC Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva, Emiliano Casalicchio
2021	C	`conf`	Understanding Traffic Cruising Causation Via Parking Data Enhancement. ICMLA Mirza Jasarevic, Veselka Boeva, Fredrik Sjölin, Per-Olav Gramstad
2020	—	`conf`	Layered Integration Approach for Multi-view Analysis of Temporal Data. AALTD@PKDD/ECML Michiel Dhont, Elena Tsiporkova, Veselka Boeva
2020	C	`conf`	Multi-view Clustering Analyses for District Heating Substations. DATA Shahrooz Abghari, Veselka Boeva, Jens Brage, Håkan Grahn
2020	C	`conf`	Multi-view Data Mining Approach for Behaviour Analysis of Smart Control Valve. ICMLA Amirmohammad Eghbalian, Shahrooz Abghari, Veselka Boeva, Farhad Basiri
2020	B	`conf`	Split-Merge Evolutionary Clustering for Multi-View Streaming Data. KES Vishnu Manasa Devagiri, Veselka Boeva, Elena Tsiporkova
2019	—	`conf`	A Split-Merge Evolutionary Clustering Algorithm. ICAART (2) Veselka Boeva, Milena Angelova, Elena Tsiporkova
2019	—	`conf`	Bipartite Split-Merge Evolutionary Clustering. ICAART (Revised Selected Papers) Veselka Boeva, Milena Angelova, Vishnu Manasa Devagiri, Elena Tsiporkova
2019	—	`conf`	District Heating Substation Behaviour Modelling for Annotating the Performance. PKDD/ECML Workshops (2) Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson
2019	Misc	`conf`	Handling Non-linear Relations in Support Vector Machines through Hyperplane Folding. ICMLC Lars Lundberg, Håkan Lennerstad, Veselka Boeva, Eva García-Martín
2019	B	`conf`	Higher Order Mining for Monitoring District Heating Substations. DSAA Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson, Håkan Grahn, Niklas Lavesson
2019	—	`conf`	Modeling Evolving User Behavior via Sequential Clustering. PKDD/ECML Workshops (2) Veselka Boeva, Christian Nordahl
2019	—	`conf`	Profiling of Household Residents' Electricity Consumption Behavior Using Clustering Analysis. ICCS (5) Christian Nordahl, Veselka Boeva, Håkan Grahn, Marie Persson Netz
2018	C	`conf`	A Minimum Spanning Tree Clustering Approach for Outlier Detection in Event Sequences. ICMLA Shahrooz Abghari, Veselka Boeva, Niklas Lavesson, Håkan Grahn, Selim Ickin, Jörgen Gustafsson
2018	—	`conf`	Cluster Validation Measures for Label Noise Filtering. IEEE Conf. on Intelligent Systems Veselka Boeva, Lars Lundberg, Milena Angelova, Jan Kohstall
2018	J	`jnl`	Evaluation of organizational structure through cluster validation analysis of email communications. J. Comput. Soc. Sci. Veselka Boeva, Lars Lundberg, Sai M. Harsha Kota, Lars Sköld
2018	—	`conf`	Evolutionary Clustering Techniques for Expertise Mining Scenarios. ICAART (2) Veselka Boeva, Milena Angelova, Niklas Lavesson, Oliver Rosander, Elena Tsiporkova
2018	B	`conf`	Hoeffding Trees with Nmin Adaptation. DSAA Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
2018	J	`jnl`	Hoeffding Trees with nmin adaptation. CoRR Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
2018	—	`conf`	How to Measure Energy Consumption in Machine Learning Algorithms. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
2018	—	`conf`	Multi-Expert Estimations of Burglars' Risk Exposure and Level of Pre-Crime Preparation Using Coded Crime Scene Data: Work in Progress. EISIC Martin Boldt, Veselka Boeva, Anton Borg
2017	—	`conf`	Advanced Data-driven Techniques for Mining Expertise. SAIS Milena Angelova, Veselka Boeva, Elena Tsiporkova
2017	—	`conf`	Analysis of Organizational Structure Through Cluster Validation Techniques: Evaluation of Email Communications at an Organizational Level. ICDM Workshops Veselka Boeva, Lars Lundberg, Sai M. Harsha Kota, Lars Skold
2017	—	`conf`	Data-driven Techniques for Expert Finding. ICAART (2) Veselka Boeva, Milena Angelova, Elena Tsiporkova
2017	—	`conf`	Energy Efficiency in Machine Learning: A position paper. SAIS Eva García Martín, Niklas Lavesson, Håkan Grahn, Veselka Boeva
2017	—	`conf`	Multi-expert estimations of burglars' risk exposure and level of pre-crime preparation based on crime scene data. SAIS Martin Boldt, Veselka Boeva, Anton Borg
2016	J	`jnl`	A mixture-of-experts approach for gene regulatory network inference. Int. J. Data Min. Bioinform. Borong Shao, Niklas Lavesson, Veselka Boeva, Raja Khurram Shahzad
2016	—	`conf`	Identifying a group of subject experts using formal concept analysis. IEEE Conf. on Intelligent Systems Veselka Boeva, Milena Angelova, Lilyana Boneva, Elena Tsiporkova
2014	J	`jnl`	A Formal Concept Analysis Approach to Consensus Clustering of Multi-Experiment Expression Data. BMC Bioinform. Anna Hristoskova, Veselka Boeva, Elena Tsiporkova
2014	J	`jnl`	A method for evaluation of learning components. Autom. Softw. Eng. Niklas Lavesson, Veselka Boeva, Elena Tsiporkova, Paul Davidsson
2014	J	`jnl`	Clustering approaches for dealing with multiple DNA microarray datasets. J. Comput. Sci. Veselka Boeva
2014	J	`jnl`	Detecting serial residential burglaries using clustering. Expert Syst. Appl. Anton Borg, Martin Boldt, Niklas Lavesson, Ulf Melander, Veselka Boeva
2014	Misc	`conf`	Semantic-Aware Expert Partitioning. AIMSA Veselka Boeva, Liliana Boneva, Elena Tsiporkova
2013	—	`conf`	Comparison of Clustering Approaches for Gene Expression Data. SCAI Anton Borg, Niklas Lavesson, Veselka Boeva
2012	—	`conf`	An Integrative Clustering Approach Combining Particle Swarm Optimization and Formal Concept Analysis. ITBAM Anna Hristoskova, Veselka Boeva, Elena Tsiporkova
2012	—	`conf`	An Integrative DTW-based imputation method for gene expression time series data. IEEE Conf. of Intelligent Systems Elena Kostadinova, Veselka Boeva, Liliana Boneva, Elena Tsiporkova
2012	—	`conf`	Measuring expertise similarity in expert networks. IEEE Conf. of Intelligent Systems Veselka Boeva, Maria Krusheva, Elena Tsiporkova
2011	—	`conf`	Clustering of Multiple Microarray Experiments Using Information Integration. ITBAM Elena Kostadinova, Veselka Boeva, Niklas Lavesson
2010	—	`conf`	A hybrid computational method for the identification of cell cycle-regulated genes. IEEE Conf. of Intelligent Systems Veselka Boeva, Petia Ivanova, Niklas Lavesson
2010	Misc	`conf`	An Adaptive Approach for Integration Analysis of Multiple Gene Expression Datasets. AIMSA Veselka Boeva, Elena Kostadinova
2008	—	`conf`	A Novel Adaptive Multiple Imputation Algorithm. BIRD Veselka Boeva, Elena Tsiporkova
2008	C	`conf`	Fusing time series expression data through hybrid aggregation and hierarchical merge. ECCB Elena Tsiporkova, Veselka Boeva
2007	—	`conf`	Modelling and Simulation of the Genetic Phenomena of Additivity and Dominance via Gene Networks of Parallel Aggregation Processes. BIRD Elena Tsiporkova, Veselka Boeva
2007	J	`jnl`	Two-Pass Imputation Algorithm for Missing Value Estimation in gene Expression Time Series. J. Bioinform. Comput. Biol. Elena Tsiporkova, Veselka Boeva
2006	J	`jnl`	Multi-step ranking of alternatives in a multi-criteria and multi-expert decision making environment. Inf. Sci. Elena Tsiporkova, Veselka Boeva
2005	J	`jnl`	Ranking of admissible alternatives in interval decision making. Int. J. Syst. Sci. Veselka Boeva, Bernard De Baets, Elena Tsiporkova
2004	J	`jnl`	A transition logic for schemata conflicts. Data Knowl. Eng. Veselka Boeva, Love Ekenberg
2004	J	`jnl`	Nonparametric recursive aggregation process. Kybernetika Elena Tsiporkova, Veselka Boeva
2004	—	`conf`	Schema integration framed in modal logic. CompSysTech Veselka Boeva
2003	—	`conf`	A modal logic based approach to schema integration. CompSysTech Veselka Boeva
2001	—	`conf`	Dempster's Rule of Combination in Modal Logic. ISIPTA Veselka Boeva
2000	J	`jnl`	Evidence theory in multivalued models of modal logic. J. Appl. Non Class. Logics Elena Tsiporkova, Bernard De Baets, Veselka Boeva
1999	J	`jnl`	Dempster's rule of conditioning translated into modal logic. Fuzzy Sets Syst. Elena Tsiporkova, Bernard De Baets, Veselka Boeva
1999	J	`jnl`	Dempster-Shafer theory framed in modal logic. Int. J. Approx. Reason. Elena Tsiporkova, Veselka Boeva, Bernard De Baets
1999	J	`jnl`	Evidence Measures Induced by Kripke's Accessibility Relations. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Elena Tsiporkova, Veselka Boeva, Bernard De Baets
1999	—	`conf`	Plausibility and Belief Measures Induced by Kripke Models. ISIPTA Veselka Boeva, Elena Tsiporkova, Bernard De Baets
1998	Misc	`conf`	Modelling Uncertainty with Kripke's Semantics. AIMSA Veselka Boeva, Elena Tsiporkova, Bernard De Baets