| Bipartite split-merge evolutionary clustering V Boeva, M Angelova, VM Devagiri, E Tsiporkova Agents and Artificial Intelligence: 11th International Conference, ICAART …, 2019 | 9 | 2019 |
| A multi-view clustering approach for analysis of streaming data VM Devagiri, V Boeva, S Abghari Artificial Intelligence Applications and Innovations: 17th IFIP WG 12.5 …, 2021 | 7 | 2021 |
| Split-merge evolutionary clustering for multi-view streaming data VM Devagiri, V Boeva, E Tsiporkova Procedia Computer Science 176, 460-469, 2020 | 6 | 2020 |
| An expertise recommender system based on data from an institutional repository (DIVA) M Angelova, V Devagiri, V Boeva, P Linde, N Lavesson ELectronic PUBlishing, 2018 | 6 | 2018 |
| Multi-view data analysis techniques for monitoring smart building systems VM Devagiri, V Boeva, S Abghari, F Basiri, N Lavesson Sensors 21 (20), 6775, 2021 | 5 | 2021 |
| Splicing forgery detection and the impact of image resolution VM Devagiri, A Cheddad 2017 9th International Conference on Electronics, Computers and Artificial …, 2017 | 3 | 2017 |
| A Graph-Based Multi-view Clustering Approach for Continuous Pattern Mining C Åleskog, VM Devagiri, V Boeva Recent Advancements in Multi-View Data Analytics, 201-237, 2022 | 2 | 2022 |
| Patient Profiling Using Evolutionary Clustering V Boeva, M Angelova, VM Devagiri, E Tsiporkova womENcourage, 2019 | 1 | 2019 |
| Putting Sense into Incomplete Heterogeneous Data with Hypergraph Clustering Analysis VM Devagiri, P Dagnely, V Boeva, E Tsiporkova Symposium on Intelligent Data Analysis (IDA 2024), 2024 | | 2024 |
| Mining Evolving and Heterogeneous Data: Cluster-based Analysis Techniques VM Devagiri Blekinge Tekniska Högskola, 2024 | | 2024 |
| A Domain Adaptation Technique through Cluster Boundary Integration VM Devagiri, V Boeva, S Abghari | | 2024 |
| Virtual Reality in Online Instruction: a pilot study on learning experiences Å Bejdevi, VM Devagiri, Å Nygren Journal of Teaching and Learning in Higher Education 5 (2), 2024 | | 2024 |
| Domain Adaptation Through Cluster Integration and Correlation VM Devagiri, V Boeva, S Abghari 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1-8, 2022 | | 2022 |
| Distributed and Adaptive Edge-based AI Models for Sensor Networks (DAISeN). V Boeva, E Casalicchio, S Abghari, AAM Al-Saedi, VM Devagiri, A Petef, ... FedCSIS (Position Papers), 71-78, 2022 | | 2022 |
| Clustering Techniques for Mining and Analysis of Evolving Data VM Devagiri Blekinge Tekniska Högskola, 2021 | | 2021 |
| A Split-Merge Framework for Evolutionary Clustering V Boeva, M Angelova, VM Devagiri, E Tsiporkova SAIS, 2019 | | 2019 |
Veselka BoevaProfessor of Computer Science, Blekinge Institute of TechnologyVerified email at bth.se
