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Profil

BRORSSON Mats Håkan

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN

ORCID
0000-0002-9637-2065
Main Referenced Co-authors
BLANCO, Braulio  (5)
RAC, Samuel  (3)
WANG, Xin Lin  (3)
DU, Manxing  (2)
PANNER SELVAM, Karthick  (2)
Main Referenced Keywords
Cloud computing (3); 5G (2); Edge computing (2); WebAssembly (2); API (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SEDAN - Service and Data Management in Distributed Systems (5)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Services and Data management research group (SEDAN) (3)
ULHPC - University of Luxembourg: High Performance Computing (1)
University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > > (1)
Main Referenced Disciplines
Computer science (15)

Publications (total 15)

The most downloaded
345 downloads
Du, M., Cowen-Rivers, A. I., Wen, Y., Sakulwongtana, P., Wang, J., Brorsson, M. H., & State, R. (2019). Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation. In Proceedings of the 19th IEEE International Conference on Data Mining Workshops (ICDMW 2019). https://hdl.handle.net/10993/41419

The most cited

3 citations (WOS)

Oz, I., Bhatti, M. K., Popov, K., & Brorsson, M. H. (2019). Regression-based prediction for task-based program performance. Journal of Circuits, Systems and Computers, 28 (04), 1950060. doi:10.1142/S0218126619500609 https://hdl.handle.net/10993/46636

RAC, S., & BRORSSON, M. H. (2023). Cost-Effective Scheduling for Kubernetes in the Edge-to-Cloud Continuum. In 2023 IEEE International Conference on Cloud Engineering (IC2E) (pp. 153-160). The Institute of Electrical and Electronics Engineers. doi:10.1109/ic2e59103.2023.00025
Peer reviewed

KAKATI, S.* , & BRORSSON, M. H.*. (2023). WebAssembly beyond the Web: A Review for the Edge-Cloud Continuum. In 2023 3rd International Conference on Intelligent Technologies, CONIT 2023 (pp. 8). Institute of Electrical and Electronics Engineers Inc. doi:10.1109/CONIT59222.2023.10205816
Peer reviewed
* These authors have contributed equally to this work.

WANG, X. L., Kraussl, Z., ZURAD, M., & BRORSSON, M. H. (2023). Effective Automatic Feature Engineering on Financial Statements for Bankruptcy Prediction. In X. L. WANG, Z. KRÄUSSL, M. Zurad, ... M. H. BRORSSON, Effective Automatic Feature Engineering on Financial Statements for Bankruptcy Prediction. Unknown/unspecified: IEEE Xplore. doi:10.1109/iceccme57830.2023.10252608
Peer reviewed

Panner Selvam, K., & Brorsson, M. H. (2023). Performance Analysis and Benchmarking of a Temperature Downscaling Deep Learning Model. In 31st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, Naples, Italy 1-3 March 2023.
Peer reviewed

BLANCO, B., BRORSSON, M. H., & ZURAD, M. (2023). Auto-clustering of Financial Reports Based on Formatting Style and Author’s Fingerprint. In I. Koprinska (Ed.), Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-23633-4_9
Peer reviewed

Panner Selvam, K., & Brorsson, M. H. (2022). Performance Modeling of Weather Forecast Machine Learning for Efficient HPC. In International Conference on Distributed Computing Systems (ICDCS), Italy 10-13 July 2022 (42nd, pp. 1268-1269). Bologna, Italy: IEEE. doi:10.1109/ICDCS54860.2022.00127
Peer reviewed

Wang, X. L., Blanco, B., & Brorsson, M. H. (2022). REPORT OF DATA FUSION AND EVALUATION. Luxembourg, Luxembourg: SNT uni.lu.

Blanco, B., & Brorsson, M. H. (2022). PROJECT DASHBOARD. Luxembourg, Luxembourg: SnT Uni.lu.

Rac, S., Sanyal, R., & Brorsson, M. H. (2022). A Cloud-Edge Continuum Experimental Methodology applied to a 5G Core Study. Transactions on Computational Science and Computational Intelligence.
Peer reviewed

Rac, S., & Brorsson, M. H. (2021). At the Edge of a Seamless Cloud Experience. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/51871. doi:10.48550/arXiv.2111.06157

Blanco, B., & Brorsson, M. H. (2021). DATA DISTRIBUTION API SPECIFICATION. Luxembourg, Luxembourg: SnT Uni.lu.

Wang, X. L., Blanco, B., & Brorsson, M. H. (2021). REPORT OF DATA SOURCES. Luxembourg, Luxembourg: SnT Uni.lu.

Du, M., Hammerschmidt, C., Varisteas, G., State, R., Brorsson, M. H., & Zhang, Z. (2019). Time Series Modeling of Market Price in Real-Time Bidding. In 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.
Peer reviewed

Du, M., Cowen-Rivers, A. I., Wen, Y., Sakulwongtana, P., Wang, J., Brorsson, M. H., & State, R. (2019). Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation. In Proceedings of the 19th IEEE International Conference on Data Mining Workshops (ICDMW 2019).
Peer reviewed

Oz, I., Bhatti, M. K., Popov, K., & Brorsson, M. H. (2019). Regression-based prediction for task-based program performance. Journal of Circuits, Systems and Computers, 28 (04), 1950060. doi:10.1142/S0218126619500609
Peer reviewed

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