Karl Bäckström

Doctoral Student at Networks and Systems (Chalmers)
Image of Karl Bäckström

Showing 9 publications


Consistent Lock-free Parallel Stochastic Gradient Descent for Fast and Stable Convergence

Karl Bäckström, Ivan Walulya, Marina Papatriantafilou et al
Other conference contribution

Controlled time series generation for automotive software-in-the-loop testing using GANs

Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson et al
Proceedings - 2020 IEEE International Conference on Artificial Intelligence Testing, AITest 2020, p. 39-46
Paper in proceeding

A deep learning approach to earth fault classification and source localization

Ebrahim Balouji, Karl Bäckström, Petri Hovila
IEEE PES Innovative Smart Grid Technologies Conference Europe. Vol. 2020-October, p. 635-639
Paper in proceeding

Deep-Learning-Based Harmonics and Interharmonics Predetection Designed for Compensating Significantly Time-Varying EAF Currents

Ebrahim Balouji, Karl Bäckström, Tomas McKelvey et al
IEEE Transactions on Industry Applications. Vol. 56 (3), p. 3250-3260
Journal article

Mimir - Streaming operators classification with artificial neural networks

Victor Gustafsson, Hampus Nilsson, Karl Bäckström et al
DEBS 2019 - Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems, p. 258-259
Paper in proceeding

Deep Learning Based Harmonics and Interharmonics Pre-Detection Designed for Compensating Significantly Time-varying EAF Currents

Ebrahim Balouji, Karl Bäckström, Tomas McKelvey et al
2019 IEEE Industry Applications Society Annual Meeting, IAS 2019
Paper in proceeding

MindTheStep-AsyncPSGD: Adaptive Asynchronous Parallel Stochastic Gradient Descent

Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas
IEEE International Conference on Big Data, p. 16-25
Paper in proceeding

An efficient 3D deep convolutional network for Alzheimer's disease diagnosis using MR images

Karl Bäckström, Mahmood Nazari, Irene Yu-Hua Gu et al
, p. 149-153
Paper in proceeding

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Showing 1 research projects


WASP SAS: Structuring data for continuous processing and ML systems

Marina Papatriantafilou Networks and Systems (Chalmers)
Vincenzo Massimiliano Gulisano Networks and Systems (Chalmers)
Karl Bäckström Networks and Systems (Chalmers)
Philippas Tsigas Networks and Systems (Chalmers)
Wallenberg AI, Autonomous Systems and Software Program

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