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2023
M. Fida, A. H. M. Ahmed, T. Dreibholz, A. F. Ocampo, A. M. Elmokashfi and F. I. Michelinakis. "Bottleneck Identification in Cloudified Mobile Networks based on Distributed Telemetry." Transactions on Mobile Computing (2023): 1-18.PDF icon tomc2023.pdf (4.18 MB)
2022
B. Singstad, B. S. Dalen, S. Sihra, N. Forsch and S. Wall. "Identifying Ionic Channel Block in a Virtual Cardiomyocyte Population Using Machine Learning Classifiers." In Computational Physiology - Simula Summer School 2021 - Student Reports, edited by K. J. McCabe, 91-109. Vol. 12. Cham: Springer International Publishing, 2022.
2021
B. Singstad, E. M. Muten and P. H. Brekke. Multi-Label ECG Classification Using Convolutional Neural Networks in a Classifier Chain In 2021 Computing in Cardiology (CinC)2021 Computing in Cardiology (CinC), Edited by C. Pickett. Brno, Czech Republic: IEEE, 2021.
O. A. N. Rongved, S. Hicks, V. Thambawita, H. K. Stensland, E. Zouganeli, D. Johansen, C. Midoglu, M. Riegler and P. Halvorsen. "Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events." International Journal of Semantic Computing 15, no. 2 (2021): 161-187.
2020
A. Nawaz, H. Zhiqiu, W. Senzhang, Y. Hussain, A. Naseer, M. Izhar and Z. Khan. "Mode Inference using enhanced Segmentation and Pre-processing on raw Global Positioning System data." Measurement and Control 53, no. 7-8 (2020): 1144-1158.PDF icon amaranaseer_moisp2020.pdf (1.73 MB)
2018
M. Kirkerød, V. Thambawita, M. Riegler and P. Halvorsen. Using preprocessing as a tool in medical image detection In MediaEval 2018. Nice, France: MediaEval, 2018.PDF icon mediaeval_18_paper_17_1.pdf (421.1 KB)