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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
742013
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
132019
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
92023
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
62021
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
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
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
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
42020
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
32020
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
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
32017
Open Data for Anomaly Detection in Maritime Surveillance
S Abghari, S Kazemi
Blekinge Tekniska Högskola, 2012
32012
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
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
12023
Data mining approaches for outlier detection analysis
S Abghari
Blekinge Tekniska Högskola, 2020
12020
A Domain Adaptation Technique through Cluster Boundary Integration
VM Devagiri, V Boeva, S Abghari
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
Intelligent Approaches for Fault Detection and Diagnosis in Building Substations: A Position Paper
J van Dreven, V Boeva, S Abghari, H Grahn, J Al Koussa, E Motoasca
Presented at KES-SEB 14 (16), 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
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