Incremental dimension reduction of tensors with random index - Fredrik Sandin; Blerim Emruli; Magnus Sahlgren (CoRR, 2011)

Analogical mapping and inference with binary spatter codes and sparse distributed memory. - Blerim Emruli; Ross W. Gayler; Fredrik Sandin (IJCNN, 2013)

FPGA prototype of machine learning analog-to-feature converter for event-based succinct representation of signals. - Sergio Martin del Campo; Kim Albertsson; Joakim Nilsson; Jens Eliasson; Fredrik Sandin (MLSP, 2013)

Analogical Mapping with Sparse Distributed Memory: A Simple Model that Learns to Generalize from Examples. - Blerim Emruli; Fredrik Sandin (Cogn. Comput., 2014)

Towards zero-configuration condition monitoring based on dictionary learning. - Sergio Martin del Campo; Fredrik Sandin (EUSIPCO, 2015)

Machine learning approach to automatic bucket loading. - Siddharth Dadhich; Ulf Bodin; Fredrik Sandin; Ulf Andersson (MED, 2016)

Dictionary learning with equiprobable matching pursuit. - Fredrik Sandin; Sergio Martin del Campo (IJCNN, 2017)

Online feature learning for condition monitoring of rotating machinery. - Sergio Martin del Campo; Fredrik Sandin (Eng. Appl. Artif. Intell., 2017)

Random indexing of multidimensional data. - Fredrik Sandin; Blerim Emruli; Magnus Sahlgren (Knowl. Inf. Syst., 2017)

Predicting Bucket-Filling Control Actions of a Wheel-Loader Operator Using a Neural Network Ensemble. - Siddharth Dadhich; Fredrik Sandin; Ulf Bodin (IJCNN, 2018)

Semantic Interoperability in Industry 4.0: Survey of Recent Developments and Outlook. - Jacob Nilsson; Fredrik Sandin (INDIN, 2018)

Interoperability and machine-to-machine translation model with mappings to machine learning tasks. - Jacob Nilsson; Fredrik Sandin; Jerker Delsing (INDIN, 2019)

Synaptic Delays for Temporal Feature Detection in Dynamic Neuromorphic Processors. - Fredrik Sandin; Mattias Nilsson 001 (CoRR, 2019)

Pretraining Image Encoders without Reconstruction via Feature Prediction Loss. - Gustav Grund Pihlgren; Fredrik Sandin; Marcus Liwicki (ICPR, 2020)

Machine Vision for Construction Equipment by Transfer Learning with Scale Models. - Carl Borngrund; Ulf Bodin; Fredrik Sandin (IJCNN, 2020)

Adaptation of a wheel loader automatic bucket filling neural network using reinforcement learning. - Siddharth Dadhich; Fredrik Sandin; Ulf Bodin; Ulf Andersson; Torbjörn Martinsson (IJCNN, 2020)

Synaptic Integration of Spatiotemporal Features with a Dynamic Neuromorphic Processor. - Mattias Nilsson 001; Foteini Liwicki; Fredrik Sandin (IJCNN, 2020)

Improving Image Autoencoder Embeddings with Perceptual Loss. - Gustav Grund Pihlgren; Fredrik Sandin; Marcus Liwicki (IJCNN, 2020)

Semi-Automatic Video Frame Annotation for Construction Equipment Automation Using Scale-Models. - Carl Borngrund; Tom Hammarkvist; Ulf Bodin; Fredrik Sandin (IECON, 2021)

Spatiotemporal Spike-Pattern Selectivity in Single Mixed-Signal Neurons with Balanced Synapses. - Mattias Nilsson 001; Foteini Liwicki; Fredrik Sandin (CoRR, 2021)

Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry. - Karl Löwenmark; Cees Taal; Stephan Schnabel; Marcus Liwicki; Fredrik Sandin (CoRR, 2021)

Dictionary Learning Approach to Monitoring of Wind Turbine Drivetrain Bearings. - Sergio Martin del Campo; Fredrik Sandin; Daniel Strömbergsson (Int. J. Comput. Intell. Syst., 2021)

Spatiotemporal Pattern Recognition in Single Mixed-Signal VLSI Neurons with Heterogeneous Dynamic Synapses. - Mattias Nilsson 001; Foteini Liwicki; Fredrik Sandin (ICONS, 2022)

Cloud-based Collaborative Learning (CCL) for the Automated Condition Monitoring of Wind Farms. - Saleha Javed; Salman Javed; Jan van Deventer; Fredrik Sandin; Jerker Delsing; Marcus Liwicki; Sergio Martin del Campo (ICPS, 2022)

Integration of Neuromorphic AI in Event-Driven Distributed Digitized Systems: Concepts and Research Directions. - Mattias Nilsson 001; Olov Schelén; Anders Lindgren; Ulf Bodin; Cristina Paniagua; Jerker Delsing; Fredrik Sandin (CoRR, 2022)

Autonomous Navigation of Wheel Loaders using Task Decomposition and Reinforcement Learning. - Carl Borngrund; Ulf Bodin; Fredrik Sandin; Henrik Andreasson (CASE, 2023)

A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons. - Mattias Nilsson 001; Ton Juny Pina; Lyes Khacef; Foteini Liwicki; Elisabetta Chicca; Fredrik Sandin (IJCNN, 2023)

Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics. - Oskar Sjögren; Gustav Grund Pihlgren; Fredrik Sandin; Marcus Liwicki (NLDL, 2023)

A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions. - Gustav Grund Pihlgren; Konstantina Nikolaidou; Prakash Chandra Chhipa; Nosheen Abid; Rajkumar Saini; Fredrik Sandin; Marcus Liwicki (CoRR, 2023)

ReLU and Addition-based Gated RNN. - Rickard Brännvall; Henrik Forsgren; Fredrik Sandin; Marcus Liwicki (CoRR, 2023)

Deep Ontology Alignment Using a Natural Language Processing Approach for Automatic M2M Translation in IIoT. - Saleha Javed; Muhammad Usman; Fredrik Sandin; Marcus Liwicki; Hamam Mokayed (Sensors, 2023)

Digital Computing Continuum Abstraction for Neuromorphic Systems. - Fredrik Sandin; Ulf Bodin; Anders Lindgren; Olov Schelén (ICONS, 2024)

Deep Perceptual Similarity is Adaptable to Ambiguous Contexts. - Gustav Grund Pihlgren; Fredrik Sandin; Marcus Liwicki (NLDL, 2024)

Learning the Approach During the Short-loading Cycle Using Reinforcement Learning. - Carl Borngrund; Ulf Bodin; Henrik Andreasson; Fredrik Sandin (CoRR, 2024)

AI Concepts for System of Systems Dynamic Interoperability. - Jacob Nilsson; Saleha Javed; Kim Albertsson; Jerker Delsing; Marcus Liwicki; Fredrik Sandin (Sensors, 2024)

Artificial Intelligence in Science and Society: The Vision of USERN. - 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; et al. (IEEE Access, 2025)

Unsupervised Particle Tracking with Neuromorphic Computing. - Emanuele Coradin; Fabio Cufino; Muhammad Awais; Tommaso Dorigo; Enrico Lupi; Eleonora Porcu; Jinu Raj; Fredrik Sandin; Mia Tosi (CoRR, 2025)

Neuromorphic Readout for Hadron Calorimeters. - 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; et al. (CoRR, 2025)

Agent-based Condition Monitoring Assistance with Multimodal Industrial Database Retrieval Augmented Generation. - Karl Löwenmark; Daniel Strömbergsson; Chang Liu; Marcus Liwicki; Fredrik Sandin (CoRR, 2025)