| Open data for anomaly detection in maritime surveillance S Kazemi, S Abghari, N Lavesson, H Johnson, P Ryman Expert Systems with Applications 40 (14), 5719-5729, 2013 | 67 | 2013 |
| Higher order mining for monitoring district heating substations S Abghari, V Boeva, J Brage, C Johansson, H Grahn, N Lavesson 2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019 | 9 | 2019 |
| A minimum spanning tree clustering approach for outlier detection in event sequences S Abghari, V Boeva, N Lavesson, H Grahn, S Ickin, J Gustafsson 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 8 | 2018 |
| A Multi-view Clustering Approach for Analysis of Streaming Data VM Devagiri, V Boeva, S Abghari IFIP International Conference on Artificial Intelligence Applications and …, 2021 | 6 | 2021 |
| Multi-view data mining approach for behaviour analysis of smart control valve A Eghbalian, S Abghari, V Boeva, F Basiri 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 5 | 2020 |
| Outlier Detection for Video Session Data Using Sequential Pattern Mining S Abghari, V Boeva, N Lavesson, H Grahn, J Gustafsson, J Shaikh ACM SIGKDD Workshop On Outlier Detection De-constructed, London, 2018 | 4 | 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 | 3 | 2021 |
| District Heating Substation Behaviour Modelling for Annotating the Performance S Abghari, V Boeva, J Brage, C Johansson Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 3 | 2019 |
| Trend Analysis to Automatically Identify Heat Program Changes S Abghari, E García-Martín, C Johansson, N Lavesson, H Grahn Energy Procedia 116 (1876-6102), 407- 415, 2017 | 2 | 2017 |
| A Higher Order Mining Approach for the Analysis of Real-World Datasets S Abghari, V Boeva, J Brage, H Grahn Energies 13 (21), 5781, 2020 | 1 | 2020 |
| Multi-view Clustering Analyses for District Heating Substations S Abghari, V Boeva, J Brage, H Grahn Proceedings of the 9th International Conference on Data Science, Technology …, 2020 | 1 | 2020 |
| Data mining approaches for outlier detection analysis S Abghari Blekinge Tekniska Högskola, 2020 | 1 | 2020 |
| Distributed and Adaptive Edge-based AI Models for Sensor Networks (DAISeN) V Boeva, E Casalicchio, S Abghari, AA Al-Saedi, VM Devagiri, A Petef, ... Annals of Computer Science and Information Systems 31, 71-78, 2022 | | 2022 |
| An Inductive System Monitoring Approach for GNSS Activation S Abghari, V Boeva, E Casalicchio, P Exner IFIP International Conference on Artificial Intelligence Applications and …, 2022 | | 2022 |
| Monitoring District Heating Substations via Clustering Analysis S Abghari, V Boeva, J Brage, C Johansson, H Grahn, N Lavesson | | 2019 |
| Data Modeling for Outlier Detection S Abghari Blekinge Tekniska Högskola, 2018 | | 2018 |
| Open Data for Anomaly Detection in Maritime Surveillance S Abghari, S Kazemi Blekinge Tekniska Högskola, 2012 | | 2012 |
Veselka BoevaProfessor of Computer Science, Blekinge Institute of TechnologyVerified email at bth.se
