Fredrik Sandin

50 papers B 9C 3Journal 29Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Local Cloud-Based Collaborative Learning vs Other IIoT Decentralized AI Solutions: A Systematic Literature Review. J. Netw. Syst. Manag. Saleha Haseeb, Salman Javed, Hamam Mokayed, Sergio Martin del Campo, Fredrik Sandin, Marcus Liwicki, Jerker Delsing
2025	J	`jnl`	Agent-based Condition Monitoring Assistance with Multimodal Industrial Database Retrieval Augmented Generation. CoRR Karl Löwenmark, Daniel Strömbergsson, Chang Liu, Marcus Liwicki, Fredrik Sandin
2025	J	`jnl`	Artificial Intelligence in Science and Society: The Vision of USERN. IEEE Access Tommaso Dorigo, Gary D. Brown, Carlo Casonato, Artemi Cerdà, Joseph Ciarrochi, Mauro Da Lio, Nicole D'Souza, Nicolas R. Gauger, Steven C. Hayes, Stefan G. Hofmann, Robert Johansson, Marcus Liwicki, Fabien Lotte, Juan J. Nieto, Giulia Olivato, Peter Parnes, George Perry, Alice Plebe, Idupulapati M. Rao, Nima Rezaei, Fredrik Sandin, Andrey Ustyuzhanin, Giorgio Vallortigara, Pietro Vischia, Niloufar Yazdanpanah
2025	J	`jnl`	Neuromorphic Readout for Hadron Calorimeters. CoRR Enrico Lupi, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Abhijit Das, Andrea De Vita, Tommaso Dorigo, Nicolas R. Gauger, Ralf Keidel, Jan Kieseler, Anders Mikkelsen, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Kylian Schmidt, Pietro Vischia, Joseph Willmore
2025	J	`jnl`	Unsupervised Particle Tracking with Neuromorphic Computing. CoRR Emanuele Coradin, Fabio Cufino, Muhammad Awais, Tommaso Dorigo, Enrico Lupi, Eleonora Porcu, Jinu Raj, Fredrik Sandin, Mia Tosi
2024	J	`jnl`	AI Concepts for System of Systems Dynamic Interoperability. Sensors Jacob Nilsson, Saleha Javed, Kim Albertsson, Jerker Delsing, Marcus Liwicki, Fredrik Sandin
2024	—	`conf`	Deep Perceptual Similarity is Adaptable to Ambiguous Contexts. NLDL Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
2024	—	`conf`	Digital Computing Continuum Abstraction for Neuromorphic Systems. ICONS Fredrik Sandin, Ulf Bodin, Anders Lindgren, Olov Schelén
2024	J	`jnl`	Learning the Approach During the Short-loading Cycle Using Reinforcement Learning. CoRR Carl Borngrund, Ulf Bodin, Henrik Andreasson, Fredrik Sandin
2023	B	`conf`	A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons. IJCNN Mattias Nilsson, Ton Juny Pina, Lyes Khacef, Foteini Liwicki, Elisabetta Chicca, Fredrik Sandin
2023	J	`jnl`	A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons. CoRR Mattias Nilsson, Ton Juny Pina, Lyes Khacef, Foteini Liwicki, Elisabetta Chicca, Fredrik Sandin
2023	J	`jnl`	A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions. CoRR Gustav Grund Pihlgren, Konstantina Nikolaidou, Prakash Chandra Chhipa, Nosheen Abid, Rajkumar Saini, Fredrik Sandin, Marcus Liwicki
2023	—	`conf`	Autonomous Navigation of Wheel Loaders using Task Decomposition and Reinforcement Learning. CASE Carl Borngrund, Ulf Bodin, Fredrik Sandin, Henrik Andreasson
2023	J	`jnl`	Deep Ontology Alignment Using a Natural Language Processing Approach for Automatic M2M Translation in IIoT. Sensors Saleha Javed, Muhammad Usman, Fredrik Sandin, Marcus Liwicki, Hamam Mokayed
2023	J	`jnl`	Deep Perceptual Similarity is Adaptable to Ambiguous Contexts. CoRR Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
2023	—	`conf`	Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics. NLDL Oskar Sjögren, Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
2023	J	`jnl`	ReLU and Addition-based Gated RNN. CoRR Rickard Brännvall, Henrik Forsgren, Fredrik Sandin, Marcus Liwicki
2022	—	`conf`	Cloud-based Collaborative Learning (CCL) for the Automated Condition Monitoring of Wind Farms. ICPS Saleha Javed, Salman Javed, Jan van Deventer, Fredrik Sandin, Jerker Delsing, Marcus Liwicki, Sergio Martin del Campo
2022	J	`jnl`	Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics. CoRR Oskar Sjögren, Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
2022	J	`jnl`	Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: Concepts and Research Directions. CoRR Mattias Nilsson, Olov Schelén, Anders Lindgren, Ulf Bodin, Cristina Paniagua, Jerker Delsing, Fredrik Sandin
2022	—	`conf`	Spatiotemporal Pattern Recognition in Single Mixed-Signal VLSI Neurons with Heterogeneous Dynamic Synapses. ICONS Mattias Nilsson, Foteini Liwicki, Fredrik Sandin
2021	J	`jnl`	Dictionary Learning Approach to Monitoring of Wind Turbine Drivetrain Bearings. Int. J. Comput. Intell. Syst. Sergio Martin del Campo, Fredrik Sandin, Daniel Strömbergsson
2021	C	`conf`	Semi-Automatic Video Frame Annotation for Construction Equipment Automation Using Scale-Models. IECON Carl Borngrund, Tom Hammarkvist, Ulf Bodin, Fredrik Sandin
2021	J	`jnl`	Spatiotemporal Spike-Pattern Selectivity in Single Mixed-Signal Neurons with Balanced Synapses. CoRR Mattias Nilsson, Foteini Liwicki, Fredrik Sandin
2021	J	`jnl`	Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry. CoRR Karl Löwenmark, Cees Taal, Stephan Schnabel, Marcus Liwicki, Fredrik Sandin
2020	B	`conf`	Adaptation of a wheel loader automatic bucket filling neural network using reinforcement learning. IJCNN Siddharth Dadhich, Fredrik Sandin, Ulf Bodin, Ulf Andersson, Torbjörn Martinsson
2020	B	`conf`	Improving Image Autoencoder Embeddings with Perceptual Loss. IJCNN Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
2020	J	`jnl`	Improving Image Autoencoder Embeddings with Perceptual Loss. CoRR Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
2020	B	`conf`	Machine Vision for Construction Equipment by Transfer Learning with Scale Models. IJCNN Carl Borngrund, Ulf Bodin, Fredrik Sandin
2020	B	`conf`	Pretraining Image Encoders without Reconstruction via Feature Prediction Loss. ICPR Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
2020	J	`jnl`	Pretraining Image Encoders without Reconstruction via Feature Prediction Loss. CoRR Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
2020	B	`conf`	Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor. IJCNN Mattias Nilsson, Foteini Liwicki, Fredrik Sandin
2020	J	`jnl`	Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor. CoRR Mattias Nilsson, Foteini Liwicki, Fredrik Sandin
2019	J	`jnl`	Dictionary learning approach to monitoring of wind turbine drivetrain bearings. CoRR Sergio Martin del Campo, Fredrik Sandin, Daniel Strömbergsson
2019	C	`conf`	Interoperability and machine-to-machine translation model with mappings to machine learning tasks. INDIN Jacob Nilsson, Fredrik Sandin, Jerker Delsing
2019	J	`jnl`	Interoperability and machine-to-machine translation model with mappings to machine learning tasks. CoRR Jacob Nilsson, Fredrik Sandin, Jerker Delsing
2019	J	`jnl`	Synaptic Delays for Temporal Feature Detection in Dynamic Neuromorphic Processors. CoRR Fredrik Sandin, Mattias Nilsson
2018	B	`conf`	Predicting Bucket-Filling Control Actions of a Wheel-Loader Operator Using a Neural Network Ensemble. IJCNN Siddharth Dadhich, Fredrik Sandin, Ulf Bodin
2018	C	`conf`	Semantic Interoperability in Industry 4.0: Survey of Recent Developments and Outlook. INDIN Jacob Nilsson, Fredrik Sandin
2017	B	`conf`	Dictionary learning with equiprobable matching pursuit. IJCNN Fredrik Sandin, Sergio Martin del Campo
2017	J	`jnl`	Online feature learning for condition monitoring of rotating machinery. Eng. Appl. Artif. Intell. Sergio Martin del Campo, Fredrik Sandin
2017	J	`jnl`	Random indexing of multidimensional data. Knowl. Inf. Syst. Fredrik Sandin, Blerim Emruli, Magnus Sahlgren
2016	J	`jnl`	Dictionary Learning with Equiprobable Matching Pursuit. CoRR Fredrik Sandin, Sergio Martin del Campo
2016	—	`conf`	Machine learning approach to automatic bucket loading. MED Siddharth Dadhich, Ulf Bodin, Fredrik Sandin, Ulf Andersson
2015	—	`conf`	Towards zero-configuration condition monitoring based on dictionary learning. EUSIPCO Sergio Martin del Campo, Fredrik Sandin
2015	J	`jnl`	Towards zero-configuration condition monitoring based on dictionary learning. CoRR Sergio Martin del Campo, Fredrik Sandin
2014	J	`jnl`	Analogical Mapping with Sparse Distributed Memory: A Simple Model that Learns to Generalize from Examples. Cogn. Comput. Blerim Emruli, Fredrik Sandin
2013	B	`conf`	Analogical mapping and inference with binary spatter codes and sparse distributed memory. IJCNN Blerim Emruli, Ross W. Gayler, Fredrik Sandin
2013	—	`conf`	FPGA prototype of machine learning analog-to-feature converter for event-based succinct representation of signals. MLSP Sergio Martin del Campo, Kim Albertsson, Joakim Nilsson, Jens Eliasson, Fredrik Sandin
2011	J	`jnl`	Incremental dimension reduction of tensors with random index CoRR Fredrik Sandin, Blerim Emruli, Magnus Sahlgren