Shahrooz Abghari

According to our database, Shahrooz Abghari authored at least 18 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A domain adaptation technique through cluster boundary integration.

Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari

Evol. Syst., February, 2025

2024

Towards an Ethical and Data Privacy Metrology for AI-Enriched Human-Centered XR Systems.

Yan Hu, Kurt Tutschku, Veselka Boeva, Prashant Goswami, Shahrooz Abghari, Veronica Sundstedt

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

Clients Behavior Monitoring in Federated Learning via Eccentricity Analysis.

Tharuka Kasthuri Arachchige, Selim Ickin, Shahrooz Abghari, Veselka Boeva

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

EdgeCluster: A Resource-Aware Evolving Clustering for Streaming Data.

Milena Angelova, Veselka Boeva, Shahrooz Abghari

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

Multi-layered Clustering for Context-aware Monitoring of District Heating Network.

Veselka Boeva, Shahrooz Abghari, Vishnu Manasa Devagiri, Jens Brage

Proceedings of the IEEE International Conference on Big Data, 2024

2023

HINTS: Human-Centered Intelligent Realities.

Veronica Sundstedt, Veselka Boeva, Hans-Jürgen Zepernick, Prashant Goswami, Abbas Cheddad, Kurt Tutschku, Håkan Grahn, Emiliano Casalicchio, Markus Fiedler, Emilia Mendes, Shahrooz Abghari, Yan Hu, Valeria Garro, Thi My Chinh Chu, Lars Lundberg, Patrik Arlos

Proceedings of the 35th Annual Workshop of the Swedish Artificial Intelligence Society, 2023

2022

An Inductive System Monitoring Approach for GNSS Activation.

Shahrooz Abghari, Veselka Boeva, Emiliano Casalicchio, Peter Exner

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

Domain Adaptation Through Cluster Integration and Correlation.

Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Distributed and Adaptive Edge-based AI Models for Sensor Networks (DAISeN).

Veselka Boeva, Emiliano Casalicchio, Shahrooz Abghari, Ahmed Abbas Mohsin Al-Saedi, Vishnu Manasa Devagiri, Andrej Petef, Peter Exner, Anders Isberg, Mirza Jasarevic

Proceedings of the Position Papers of the 17th Conference on Computer Science and Intelligence Systems, 2022

2021

Multi-View Data Analysis Techniques for Monitoring Smart Building Systems.

Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari, Farhad Basiri, Niklas Lavesson

Sensors, 2021

A Multi-view Clustering Approach for Analysis of Streaming Data.

Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari

Proceedings of the Artificial Intelligence Applications and Innovations, 2021

2020

Data Mining Approaches for Outlier Detection Analysis.

Shahrooz Abghari

PhD thesis, 2020

Multi-view Data Mining Approach for Behaviour Analysis of Smart Control Valve.

Amirmohammad Eghbalian, Shahrooz Abghari, Veselka Boeva, Farhad Basiri

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Multi-view Clustering Analyses for District Heating Substations.

Shahrooz Abghari, Veselka Boeva, Jens Brage, Håkan Grahn

Proceedings of the 9th International Conference on Data Science, 2020

2019

District Heating Substation Behaviour Modelling for Annotating the Performance.

Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Higher Order Mining for Monitoring District Heating Substations.

Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson, Håkan Grahn, Niklas Lavesson

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018

A Minimum Spanning Tree Clustering Approach for Outlier Detection in Event Sequences.

Shahrooz Abghari, Veselka Boeva, Niklas Lavesson, Håkan Grahn, Selim Ickin, Jörgen Gustafsson

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2013

Open data for anomaly detection in maritime surveillance.

Samira Kazemi, Shahrooz Abghari, Niklas Lavesson, Henric Johnson, Peter Ryman

Expert Syst. Appl., 2013