Fredrik Sandin

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 40

Top Topics

Condition Monitoring

Similarity Metric

Neural Network Ensemble

Top Venues

Publications

Carl Borngrund, Ulf Bodin, Henrik Andreasson, Fredrik Sandin
Learning the Approach During the Short-loading Cycle Using Reinforcement Learning. CoRR (2024)
Jacob Nilsson, Saleha Javed, Kim Albertsson, Jerker Delsing, Marcus Liwicki, Fredrik Sandin
AI Concepts for System of Systems Dynamic Interoperability. Sensors 24 (9) (2024)
Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
Deep Perceptual Similarity is Adaptable to Ambiguous Contexts. NLDL (2024)
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 (2023)
Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
Deep Perceptual Similarity is Adaptable to Ambiguous Contexts. CoRR (2023)
Carl Borngrund, Ulf Bodin, Fredrik Sandin, Henrik Andreasson
Autonomous Navigation of Wheel Loaders using Task Decomposition and Reinforcement Learning. CASE (2023)
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)
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 (2023)
Rickard Brännvall, Henrik Forsgren, Fredrik Sandin, Marcus Liwicki
ReLU and Addition-based Gated RNN. CoRR (2023)
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) (2023)
Oskar Sjögren, Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics. NLDL (2023)
Oskar Sjögren, Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics. CoRR (2022)
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)
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 (2022)
Mattias Nilsson, Foteini Liwicki, Fredrik Sandin
Spatiotemporal Pattern Recognition in Single Mixed-Signal VLSI Neurons with Heterogeneous Dynamic Synapses. ICONS (2022)
Carl Borngrund, Tom Hammarkvist, Ulf Bodin, Fredrik Sandin
Semi-Automatic Video Frame Annotation for Construction Equipment Automation Using Scale-Models. IECON (2021)
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) (2021)
Karl Löwenmark, Cees Taal, Stephan Schnabel, Marcus Liwicki, Fredrik Sandin
Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry. CoRR (2021)
Mattias Nilsson, Foteini Liwicki, Fredrik Sandin
Spatiotemporal Spike-Pattern Selectivity in Single Mixed-Signal Neurons with Balanced Synapses. CoRR (2021)
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)
Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss. CoRR (2020)
Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
Pretraining Image Encoders without Reconstruction via Feature Prediction Loss. ICPR (2020)
Mattias Nilsson, Foteini Liwicki, Fredrik Sandin
Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor. CoRR (2020)
Mattias Nilsson, Foteini Liwicki, Fredrik Sandin
Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor. IJCNN (2020)
Carl Borngrund, Ulf Bodin, Fredrik Sandin
Machine Vision for Construction Equipment by Transfer Learning with Scale Models. IJCNN (2020)
Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
Improving Image Autoencoder Embeddings with Perceptual Loss. IJCNN (2020)
Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
Improving Image Autoencoder Embeddings with Perceptual Loss. CoRR (2020)
Jacob Nilsson, Fredrik Sandin, Jerker Delsing
Interoperability and machine-to-machine translation model with mappings to machine learning tasks. CoRR (2019)
Fredrik Sandin, Mattias Nilsson
Synaptic Delays for Temporal Feature Detection in Dynamic Neuromorphic Processors. CoRR (2019)
Jacob Nilsson, Fredrik Sandin, Jerker Delsing
Interoperability and machine-to-machine translation model with mappings to machine learning tasks. INDIN (2019)
Sergio Martin del Campo, Fredrik Sandin, Daniel Strömbergsson
Dictionary learning approach to monitoring of wind turbine drivetrain bearings. CoRR (2019)
Siddharth Dadhich, Fredrik Sandin, Ulf Bodin
Predicting Bucket-Filling Control Actions of a Wheel-Loader Operator Using a Neural Network Ensemble. IJCNN (2018)
Jacob Nilsson, Fredrik Sandin
Semantic Interoperability in Industry 4.0: Survey of Recent Developments and Outlook. INDIN (2018)
Sergio Martin del Campo, Fredrik Sandin
Online feature learning for condition monitoring of rotating machinery. Eng. Appl. Artif. Intell. 64 (2017)
Fredrik Sandin, Blerim Emruli, Magnus Sahlgren
Random indexing of multidimensional data. Knowl. Inf. Syst. 52 (1) (2017)
Fredrik Sandin, Sergio Martin del Campo
Dictionary learning with equiprobable matching pursuit. IJCNN (2017)
Siddharth Dadhich, Ulf Bodin, Fredrik Sandin, Ulf Andersson
Machine learning approach to automatic bucket loading. MED (2016)
Fredrik Sandin, Sergio Martin del Campo
Dictionary Learning with Equiprobable Matching Pursuit. CoRR (2016)
Sergio Martin del Campo, Fredrik Sandin
Towards zero-configuration condition monitoring based on dictionary learning. EUSIPCO (2015)
Sergio Martin del Campo, Fredrik Sandin
Towards zero-configuration condition monitoring based on dictionary learning. CoRR (2015)
Blerim Emruli, Fredrik Sandin
Analogical Mapping with Sparse Distributed Memory: A Simple Model that Learns to Generalize from Examples. Cogn. Comput. 6 (1) (2014)
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)
Blerim Emruli, Ross W. Gayler, Fredrik Sandin
Analogical mapping and inference with binary spatter codes and sparse distributed memory. IJCNN (2013)
Fredrik Sandin, Blerim Emruli, Magnus Sahlgren
Incremental dimension reduction of tensors with random index CoRR (2011)