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Shahrooz Abghari
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2020 – today
- 2025
- [j3]Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari:
A domain adaptation technique through cluster boundary integration. Evol. Syst. 16(1): 14 (2025) - 2024
- [c13]Milena Angelova, Veselka Boeva, Shahrooz Abghari:
EdgeCluster: A Resource-Aware Evolving Clustering for Streaming Data. EAIS 2024: 1-10 - [c12]Tharuka Kasthuri Arachchige, Selim Ickin, Shahrooz Abghari, Veselka Boeva:
Clients Behavior Monitoring in Federated Learning via Eccentricity Analysis. EAIS 2024: 1-8 - [c11]Yan Hu, Kurt Tutschku, Veselka Boeva, Prashant Goswami, Shahrooz Abghari, Veronica Sundstedt:
Towards an Ethical and Data Privacy Metrology for AI-Enriched Human-Centered XR Systems. MetroXRAINE 2024: 119-124 - 2023
- [c10]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:
HINTS: Human-Centered Intelligent Realities. SAIS 2023: 9-17 - 2022
- [c9]Veselka Boeva, Emiliano Casalicchio, Shahrooz Abghari, Ahmed Abbas Mohsin Al-Saedi, Vishnu Manasa Devagiri, Andrej Petef, Peter Exner, Anders Isberg, Mirza Jasarevic:
Distributed and Adaptive Edge-based AI Models for Sensor Networks (DAISeN). FedCSIS (Position Papers) 2022: 71-78 - [c8]Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari:
Domain Adaptation Through Cluster Integration and Correlation. ICDM (Workshops) 2022: 1-8 - [c7]Shahrooz Abghari, Veselka Boeva, Emiliano Casalicchio, Peter Exner:
An Inductive System Monitoring Approach for GNSS Activation. AIAI (2) 2022: 437-449 - 2021
- [j2]Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari, Farhad Basiri, Niklas Lavesson:
Multi-View Data Analysis Techniques for Monitoring Smart Building Systems. Sensors 21(20): 6775 (2021) - [c6]Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari:
A Multi-view Clustering Approach for Analysis of Streaming Data. AIAI 2021: 169-183 - 2020
- [b1]Shahrooz Abghari:
Data Mining Approaches for Outlier Detection Analysis. Blekinge Institute of Technology, Karlskrona, Sweden, 2020 - [c5]Shahrooz Abghari, Veselka Boeva, Jens Brage, Håkan Grahn:
Multi-view Clustering Analyses for District Heating Substations. DATA 2020: 158-168 - [c4]Amirmohammad Eghbalian, Shahrooz Abghari, Veselka Boeva, Farhad Basiri:
Multi-view Data Mining Approach for Behaviour Analysis of Smart Control Valve. ICMLA 2020: 1238-1245
2010 – 2019
- 2019
- [c3]Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson, Håkan Grahn, Niklas Lavesson:
Higher Order Mining for Monitoring District Heating Substations. DSAA 2019: 382-391 - [c2]Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson:
District Heating Substation Behaviour Modelling for Annotating the Performance. PKDD/ECML Workshops (2) 2019: 3-11 - 2018
- [c1]Shahrooz Abghari, Veselka Boeva, Niklas Lavesson, Håkan Grahn, Selim Ickin, Jörgen Gustafsson:
A Minimum Spanning Tree Clustering Approach for Outlier Detection in Event Sequences. ICMLA 2018: 1123-1130 - 2013
- [j1]Samira Kazemi, Shahrooz Abghari, Niklas Lavesson, Henric Johnson, Peter Ryman:
Open data for anomaly detection in maritime surveillance. Expert Syst. Appl. 40(14): 5719-5729 (2013)
Coauthor Index
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last updated on 2025-01-10 18:32 CET by the dblp team
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