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ORCIDFredrik Sandin
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- affiliation: Luleå University of Technology, Sweden
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2020 – today
- 2024
[j6]Jacob Nilsson
, Saleha Javed, Kim Albertsson, Jerker Delsing, Marcus Liwicki, Fredrik Sandin:
AI Concepts for System of Systems Dynamic Interoperability. Sensors 24(9): 2921 (2024)- [c20]Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Deep Perceptual Similarity is Adaptable to Ambiguous Contexts. NLDL 2024: 212-219 - [i18]Carl Borngrund, Ulf Bodin, Henrik Andreasson, Fredrik Sandin:
Learning the Approach During the Short-loading Cycle Using Reinforcement Learning. CoRR abs/2406.13366 (2024) - 2023
- [j5]Saleha Javed, Muhammad Usman, Fredrik Sandin, Marcus Liwicki, Hamam Mokayed:
Deep Ontology Alignment Using a Natural Language Processing Approach for Automatic M2M Translation in IIoT. Sensors 23(20): 8427 (2023) - [c19]Carl Borngrund, Ulf Bodin, Fredrik Sandin, Henrik Andreasson:
Autonomous Navigation of Wheel Loaders using Task Decomposition and Reinforcement Learning. CASE 2023: 1-8 - [c18]Mattias Nilsson, Ton Juny Pina, Lyes Khacef, Foteini Liwicki, Elisabetta Chicca, Fredrik Sandin:
A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons. IJCNN 2023: 1-7 - [c17]Oskar Sjögren, Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics. NLDL 2023 - [i17]Mattias Nilsson, Ton Juny Pina, Lyes Khacef, Foteini Liwicki, Elisabetta Chicca, Fredrik Sandin:
A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons. CoRR abs/2301.09962 (2023) - [i16]Gustav Grund Pihlgren, Konstantina Nikolaidou, Prakash Chandra Chhipa, Nosheen Abid, Rajkumar Saini, Fredrik Sandin, Marcus Liwicki:
A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions. CoRR abs/2302.04032 (2023) - [i15]Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Deep Perceptual Similarity is Adaptable to Ambiguous Contexts. CoRR abs/2304.02265 (2023) - [i14]Rickard Brännvall, Henrik Forsgren, Fredrik Sandin, Marcus Liwicki:
ReLU and Addition-based Gated RNN. CoRR abs/2308.05629 (2023) - 2022
- [c16]Mattias Nilsson, Foteini Liwicki, Fredrik Sandin:
Spatiotemporal Pattern Recognition in Single Mixed-Signal VLSI Neurons with Heterogeneous Dynamic Synapses. ICONS 2022: 4:1-4:8 - [c15]Saleha Javed, Salman Javed, Jan van Deventer, Fredrik Sandin, Jerker Delsing, Marcus Liwicki, Sergio Martin del Campo:
Cloud-based Collaborative Learning (CCL) for the Automated Condition Monitoring of Wind Farms. ICPS 2022: 1-8 - [i13]Oskar Sjögren, Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics. CoRR abs/2207.02512 (2022) - [i12]Mattias Nilsson, Olov Schelén, Anders Lindgren, Ulf Bodin, Cristina Paniagua, Jerker Delsing, Fredrik Sandin:
Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: Concepts and Research Directions. CoRR abs/2210.11190 (2022) - 2021
- [j4]Sergio Martin del Campo, Fredrik Sandin, Daniel Strömbergsson:
Dictionary Learning Approach to Monitoring of Wind Turbine Drivetrain Bearings. Int. J. Comput. Intell. Syst. 14(1): 106-121 (2021) - [c14]Carl Borngrund, Tom Hammarkvist, Ulf Bodin, Fredrik Sandin:
Semi-Automatic Video Frame Annotation for Construction Equipment Automation Using Scale-Models. IECON 2021: 1-6 - [i11]Mattias Nilsson, Foteini Liwicki, Fredrik Sandin:
Spatiotemporal Spike-Pattern Selectivity in Single Mixed-Signal Neurons with Balanced Synapses. CoRR abs/2106.05686 (2021) - [i10]Karl Löwenmark, Cees Taal, Stephan Schnabel, Marcus Liwicki, Fredrik Sandin:
Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry. CoRR abs/2112.07356 (2021) - 2020
- [c13]Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss. ICPR 2020: 10744-10750 - [c12]Carl Borngrund, Ulf Bodin, Fredrik Sandin:
Machine Vision for Construction Equipment by Transfer Learning with Scale Models. IJCNN 2020: 1-8 - [c11]Siddharth Dadhich, Fredrik Sandin, Ulf Bodin, Ulf Andersson, Torbjörn Martinsson:
Adaptation of a wheel loader automatic bucket filling neural network using reinforcement learning. IJCNN 2020: 1-9 - [c10]Mattias Nilsson, Foteini Liwicki, Fredrik Sandin:
Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor. IJCNN 2020: 1-7 - [c9]Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Improving Image Autoencoder Embeddings with Perceptual Loss. IJCNN 2020: 1-7 - [i9]Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Improving Image Autoencoder Embeddings with Perceptual Loss. CoRR abs/2001.03444 (2020) - [i8]Mattias Nilsson, Foteini Liwicki, Fredrik Sandin:
Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor. CoRR abs/2002.04924 (2020) - [i7]Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki:
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss. CoRR abs/2003.07441 (2020)
2010 – 2019
- 2019
- [c8]Jacob Nilsson, Fredrik Sandin, Jerker Delsing:
Interoperability and machine-to-machine translation model with mappings to machine learning tasks. INDIN 2019: 284-289 - [i6]Sergio Martin del Campo, Fredrik Sandin, Daniel Strömbergsson:
Dictionary learning approach to monitoring of wind turbine drivetrain bearings. CoRR abs/1902.01426 (2019) - [i5]Jacob Nilsson, Fredrik Sandin, Jerker Delsing:
Interoperability and machine-to-machine translation model with mappings to machine learning tasks. CoRR abs/1903.10735 (2019) - [i4]Fredrik Sandin, Mattias Nilsson:
Synaptic Delays for Temporal Feature Detection in Dynamic Neuromorphic Processors. CoRR abs/1906.12282 (2019) - 2018
- [c7]Siddharth Dadhich, Fredrik Sandin, Ulf Bodin:
Predicting Bucket-Filling Control Actions of a Wheel-Loader Operator Using a Neural Network Ensemble. IJCNN 2018: 1-6 - [c6]Jacob Nilsson, Fredrik Sandin:
Semantic Interoperability in Industry 4.0: Survey of Recent Developments and Outlook. INDIN 2018: 127-132 - 2017
- [j3]Sergio Martin del Campo, Fredrik Sandin:
Online feature learning for condition monitoring of rotating machinery. Eng. Appl. Artif. Intell. 64: 187-196 (2017) - [j2]Fredrik Sandin, Blerim Emruli, Magnus Sahlgren:
Random indexing of multidimensional data. Knowl. Inf. Syst. 52(1): 267-290 (2017) - [c5]Fredrik Sandin, Sergio Martin del Campo:
Dictionary learning with equiprobable matching pursuit. IJCNN 2017: 557-564 - 2016
- [c4]Siddharth Dadhich, Ulf Bodin, Fredrik Sandin, Ulf Andersson:
Machine learning approach to automatic bucket loading. MED 2016: 1260-1265 - [i3]Fredrik Sandin, Sergio Martin del Campo:
Dictionary Learning with Equiprobable Matching Pursuit. CoRR abs/1611.09333 (2016) - 2015
- [c3]Sergio Martin del Campo, Fredrik Sandin:
Towards zero-configuration condition monitoring based on dictionary learning. EUSIPCO 2015: 1306-1310 - [i2]Sergio Martin del Campo, Fredrik Sandin:
Towards zero-configuration condition monitoring based on dictionary learning. CoRR abs/1502.03596 (2015) - 2014
- [j1]Blerim Emruli, Fredrik Sandin:
Analogical Mapping with Sparse Distributed Memory: A Simple Model that Learns to Generalize from Examples. Cogn. Comput. 6(1): 74-88 (2014) - 2013
- [c2]Blerim Emruli, Ross W. Gayler, Fredrik Sandin:
Analogical mapping and inference with binary spatter codes and sparse distributed memory. IJCNN 2013: 1-8 - [c1]Sergio Martin del Campo, Kim Albertsson, Joakim Nilsson, Jens Eliasson, Fredrik Sandin:
FPGA prototype of machine learning analog-to-feature converter for event-based succinct representation of signals. MLSP 2013: 1-6 - 2011
- [i1]Fredrik Sandin, Blerim Emruli, Magnus Sahlgren:
Incremental dimension reduction of tensors with random index. CoRR abs/1103.3585 (2011)
Coauthor Index
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