Follow
Shahrooz Abghari
Shahrooz Abghari
Ph.D. 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
712013
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
122019
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
82018
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
62021
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
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
52019
Intelligent approaches to fault detection and diagnosis in district heating: Current trends, challenges, and opportunities
J van Dreven, V Boeva, S Abghari, H Grahn, J Al Koussa, E Motoasca
Electronics 12 (6), 1448, 2023
42023
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
42021
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
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
22022
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
22020
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
Open Data for Anomaly Detection in Maritime Surveillance
S Abghari, S Kazemi
Blekinge Tekniska Högskola, 2012
22012
Data mining approaches for outlier detection analysis
S Abghari
Blekinge Tekniska Högskola, 2020
12020
HINTS: Human-Centered Intelligent Realities
V Sundstedt, V Boeva, HJ Zepernick, P Goswami, A Cheddad, K Tutschku, ...
35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS …, 2023
2023
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, AA Al-Saedi, VM Devagiri, A Petef, ...
Annals of Computer Science and Information Systems 31, 71-78, 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
The system can't perform the operation now. Try again later.
Articles 1–20