| 2025 | NeSy | An evidence-based neuro-symbolic framework for ambiguous image scene classification. | Giulia Murtas, Veselka Boeva, Elena Tsiporkova |
| 2025 | VINCI | Exploring Dynamic Hypergraphs for Clustering Analysis of District Heating Data. | Valeria Garro, Ilir Jusufi, Shahrooz Abghari, Jens Brage, Veselka Boeva |
| 2024 | IDA | Putting Sense into Incomplete Heterogeneous Data with Hypergraph Clustering Analysis. | Vishnu Manasa Devagiri, Pierre Dagnely, Veselka Boeva, Elena Tsiporkova |
| 2023 | AI | MultiStream EvolveCluster. | Christian Nordahl, Veselka Boeva, Hkan Grahn |
| 2023 | EANN | Group-Personalized Federated Learning for Human Activity Recognition Through Cluster Eccentricity Analysis. | Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva |
| 2022 | FedCSIS | 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 |
| 2022 | ICDM | Domain Adaptation Through Cluster Integration and Correlation. | Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari |
| 2021 | ICMLA | Understanding Traffic Cruising Causation Via Parking Data Enhancement. | Mirza Jasarevic, Veselka Boeva, Fredrik Sjlin, Per-Olav Gramstad |
| 2021 | ISCC | Reducing Communication Overhead of Federated Learning through Clustering Analysis. | Ahmed Abbas Mohsin Al-Saedi, Veselka Boeva, Emiliano Casalicchio |
| 2020 | DATA | Multi-view Clustering Analyses for District Heating Substations. | Shahrooz Abghari, Veselka Boeva, Jens Brage, Hkan Grahn |
| 2020 | ICMLA | Multi-view Data Mining Approach for Behaviour Analysis of Smart Control Valve. | Amirmohammad Eghbalian, Shahrooz Abghari, Veselka Boeva, Farhad Basiri |
| 2020 | KES | Split-Merge Evolutionary Clustering for Multi-View Streaming Data. | Vishnu Manasa Devagiri, Veselka Boeva, Elena Tsiporkova |
| 2019 | DSAA | Higher Order Mining for Monitoring District Heating Substations. | Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson, Hkan Grahn, Niklas Lavesson |
| 2019 | ICAART | Bipartite Split-Merge Evolutionary Clustering. | Veselka Boeva, Milena Angelova, Vishnu Manasa Devagiri, Elena Tsiporkova |
| 2019 | ICAART | A Split-Merge Evolutionary Clustering Algorithm. | Veselka Boeva, Milena Angelova, Elena Tsiporkova |
| 2019 | ICCS | Profiling of Household Residents' Electricity Consumption Behavior Using Clustering Analysis. | Christian Nordahl, Veselka Boeva, Hkan Grahn, Marie Persson Netz |
| 2018 | DSAA | Hoeffding Trees with Nmin Adaptation. | Eva Garca-Martn, Niklas Lavesson, Hkan Grahn, Emiliano Casalicchio, Veselka Boeva |
| 2018 | ICAART | Evolutionary Clustering Techniques for Expertise Mining Scenarios. | Veselka Boeva, Milena Angelova, Niklas Lavesson, Oliver Rosander, Elena Tsiporkova |
| 2018 | ICMLA | A Minimum Spanning Tree Clustering Approach for Outlier Detection in Event Sequences. | Shahrooz Abghari, Veselka Boeva, Niklas Lavesson, Hkan Grahn, Selim Ickin, Jrgen Gustafsson |
| 2017 | ICAART | Data-driven Techniques for Expert Finding. | Veselka Boeva, Milena Angelova, Elena Tsiporkova |
| 2017 | ICDM | 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 |
| 2014 | AIMSA | Semantic-Aware Expert Partitioning. | Veselka Boeva, Liliana Boneva, Elena Tsiporkova |
| 2010 | AIMSA | An Adaptive Approach for Integration Analysis of Multiple Gene Expression Datasets. | Veselka Boeva, Elena Kostadinova |
| 2008 | ECCB | Fusing time series expression data through hybrid aggregation and hierarchical merge. | Elena Tsiporkova, Veselka Boeva |
| 1998 | AIMSA | Modelling Uncertainty with Kripke's Semantics. | Veselka Boeva, Elena Tsiporkova, Bernard De Baets |