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Karl Bäckström
Karl Bäckström
Ph.D. Student in Computer Science, Chalmers University of Technology
Verified email at chalmers.se
Title
Cited by
Cited by
Year
An efficient 3D deep convolutional network for Alzheimer's disease diagnosis using MR images
K Bäckström, M Nazari, IYH Gu, AS Jakola
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
1542018
Deep Learning Based Harmonics and Interharmonics Pre-Detection Designed for Compensating Significantly Time-varying EAF Currents
ÖS Ebrahim Balouji, Karl Bäckström, Tomas McKelvey
IEEE Transactions on Industry Applications, 2020
412020
Controlled time series generation for automotive software-in-the-loop testing using GANs
SE Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson
IEEE International Conference On Artificial Intelligence Testing, 2020
17*2020
MindTheStep-AsyncPSGD: Adaptive Asynchronous Parallel Stochastic Gradient Descent
K Bäckström, M Papatriantafilou, P Tsigas
IEEE International Conference on Big Data, 2019
132019
Consistent lock-free parallel stochastic gradient descent for fast and stable convergence
K Bäckström, I Walulya, M Papatriantafilou, P Tsigas
2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021
92021
A Deep Learning Approach to Earth Fault Classification and Source Localization
E Balouji, K Bäckström, P Hovila
2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 635-639, 2020
52020
The Impact of Synchronization in Parallel Stochastic Gradient Descent
K Bäckström, M Papatriantafilou, P Tsigas
International Conference on Distributed Computing and Internet Technology, 60-75, 2022
12022
Adaptiveness and Lock-free Synchronization in Parallel Stochastic Gradient Descent
K Bäckström
12021
Mimir-Streaming Operators Classification with Artificial Neural Networks
V Gustafsson, H Nilsson, K Bäckström, M Papatriantafilou, V Gulisano
Proceedings of the 13th ACM International Conference on Distributed and …, 2019
2019
Deep learning methods for MRI brain image analysis: 3D convolutional neural networks for Alzheimer's disease detection and brain tumor classification
M Nazari, K Bäckström
2017
Banach-Tarskis paradox
F Tivedal, F Wirén, K Bäckström
2015
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