Fredrik Sandin
Orcid: 0000-0001-5662-825XAffiliations:
- Luleå University of Technology, Sweden
According to our database1,
Fredrik Sandin
authored at least 32 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the Northern Lights Deep Learning Conference, 2024
2023
Deep Ontology Alignment Using a Natural Language Processing Approach for Automatic M2M Translation in IIoT.
Sensors, October, 2023
A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions.
CoRR, 2023
Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023
A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons.
Proceedings of the International Joint Conference on Neural Networks, 2023
Autonomous Navigation of Wheel Loaders using Task Decomposition and Reinforcement Learning.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: Concepts and Research Directions.
CoRR, 2022
Cloud-based Collaborative Learning (CCL) for the Automated Condition Monitoring of Wind Farms.
Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022
Spatiotemporal Pattern Recognition in Single Mixed-Signal VLSI Neurons with Heterogeneous Dynamic Synapses.
Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022
2021
Int. J. Comput. Intell. Syst., 2021
CoRR, 2021
Spatiotemporal Spike-Pattern Selectivity in Single Mixed-Signal Neurons with Balanced Synapses.
CoRR, 2021
Semi-Automatic Video Frame Annotation for Construction Equipment Automation Using Scale-Models.
Proceedings of the IECON 2021, 2021
2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Adaptation of a wheel loader automatic bucket filling neural network using reinforcement learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
CoRR, 2019
Interoperability and machine-to-machine translation model with mappings to machine learning tasks.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
2018
Semantic Interoperability in Industry 4.0: Survey of Recent Developments and Outlook.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018
Predicting Bucket-Filling Control Actions of a Wheel-Loader Operator Using a Neural Network Ensemble.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Eng. Appl. Artif. Intell., 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016
2015
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
Analogical Mapping with Sparse Distributed Memory: A Simple Model that Learns to Generalize from Examples.
Cogn. Comput., 2014
2013
FPGA prototype of machine learning analog-to-feature converter for event-based succinct representation of signals.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Analogical mapping and inference with binary spatter codes and sparse distributed memory.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2011