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Shahrooz Abghari
Shahrooz Abghari
PhD in Computer Science, Blekinge Institute of Technology
Verified email at bth.se
Title
Cited by
Cited by
Year
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
672013
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
92019
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
72018
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
52021
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
52020
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
32021
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
32019
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
32018
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
22020
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
22017
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
12020
Data mining approaches for outlier detection analysis
S Abghari
Blekinge Tekniska Högskola, 2020
12020
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
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Articles 1–17