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)

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

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)

Addressing Uncertainties within Active Learning for Industrial IoT. - Deepesh Agarwal; Pravesh Srivastava; Sergio Martin del Campo; Balasubramaniam Natarajan; Babji Srinivasan (WF-IoT, 2021)

Addressing practical challenges in Active Learning via a hybrid query strategy. - Deepesh Agarwal; Pravesh Srivastava; Sergio Martin del Campo; Balasubramaniam Natarajan; Babji Srinivasan (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)

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)