Magnus Westerlund
Magnus Westerlund
Arcada University of Applied Sciences
Verifisert e-postadresse på arcada.fi
Sitert av
Sitert av
Z-Inspection®: A Process to Assess Trustworthy AI
RV Zicari, J Brodersen, J Brusseau, B Düdder, T Eichhorn, T Ivanov, ...
IEEE Transactions on Technology and Society 2 (2), 83-97, 2021
Using extreme learning machine for intrusion detection in a big data environment
J Xiang, M Westerlund, D Sovilj, G Pulkkis
Proceedings of the 2014 Workshop on Artificial Intelligent and Security …, 2014
Edge MLOps: An Automation Framework for AIoT Applications
E Raj, D Buffoni, M Westerlund, K Ahola
2021 IEEE International Conference on Cloud Engineering (IC2E), 191-200, 2021
Co-design of a Trustworthy AI System in Healthcare. Best Practice: Deep Learning based Skin Lesion Classifier.
... RV Zicari, S Ahmed, J Amann, SA Braun, J Brodersen
Frontiers in Human Dynamics 3, 40, 2021
On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls
RV Zicari, J Brusseau, SN Blomberg, HC Christensen, M Coffee, ...
Frontiers in Human Dynamics, 2021
Towards Distributed Clouds: A Review About the Evolution of Centralized Cloud Computing, Distributed Ledger Technologies, and A Foresight on Unifying Opportunities and Security …
M Westerlund, N Kratzke
2018 International Conference on High Performance Computing & Simulation …, 2018
Blockchain-based security solutions for iot systems
G Pulkkis, J Karlsson, M Westerlund
Internet of Things A to Z: Technologies and Applications 20180501, 2018
Secure and Reliable Internet of Things Systems for Healthcare
G Pulkkis, J Karlsson, M Westerlund, J Tana
2017 IEEE 5th International Conference on Future Internet of Things and …, 2017
Analytics for Network Security: A Survey and Taxonomy
K Grahn, M Westerlund, G Pulkkis
Information Fusion for Cyber-Security Analytics, 175-193, 2017
Smart Contract based Distributed IoT Security: A Protocol for Autonomous Device Management
J Wickström, M Westerlund, G Pulkkis
2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet …, 2021
Autonomous industrial management via reinforcement learning
L Espinosa-Leal, A Chapman, M Westerlund
Journal of Intelligent & Fuzzy Systems 39 (6), 8427-8439, 2020
Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients
H Allahabadi, J Amann, I Balot, A Beretta, C Binkley, J Bozenhard, ...
IEEE Transactions on Technology and Society 3 (4), 272-289, 2022
Reliable Fleet Analytics for Edge IoT Solutions
E Raj, M Westerlund, L Espinosa-Leal
CLOUD COMPUTING 2020, 55, 2020
Providing Tamper-Resistant Audit Trails with Distributed Ledger based Solutions for Forensics of IoT Systems using Cloud Resources
M Westerlund, M Neovius, G Pulkkis
International Journal on Advances in Security Volume 11, Number 3 & 4, 2018, 2018
Providing Tamper-Resistant Audit Trails for Cloud Forensics with Distributed Ledger based Solutions
M Neovius, J Karlsson, M Westerlund, G Pulkkis
CLOUD COMPUTING 2018, 29, 2018
A generalized scalable software architecture for analyzing temporally structured big data in the cloud
M Westerlund, U Hedlund, G Pulkkis, KM Björk
New Perspectives in Information Systems and Technologies, Volume 1, 559-569, 2014
Lessons Learned from Assessing Trustworthy AI in Practice
D Vetter, J Amann, F Bruneault, M Coffee, B Düdder, A Gallucci, ...
Digital Society 2 (3), 35, 2023
How to Assess Trustworthy AI in Practice
RV Zicari, J Amann, F Bruneault, M Coffee, B Düdder, E Hickman, ...
arXiv preprint arXiv:2206.09887, 2022
Ethical maintenance of artificial intelligence systems
B Düdder, F Möslein, N Stürtz, M Westerlund, RV Zicari
Artificial Intelligence for Sustainable Value Creation, 2021
Reinforcement learning for extended reality: designing self-play scenarios
L Espinosa Leal, A Chapman, M Westerlund
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
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Artikler 1–20