Sergio Martin del Campo

According to our database, Sergio Martin del Campo authored at least 9 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Local Cloud-Based Collaborative Learning vs Other IIoT Decentralized AI Solutions: A Systematic Literature Review.

Saleha Haseeb, Salman Javed, Hamam Mokayed, Sergio Martin del Campo, Fredrik Sandin, Marcus Liwicki, Jerker Delsing

J. Netw. Syst. Manag., April, 2026

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

Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022

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

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

Addressing Uncertainties within Active Learning for Industrial IoT.

Deepesh Agarwal, Pravesh Srivastava, Sergio Martin del Campo, Balasubramaniam Natarajan, Babji Srinivasan

Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

2017

Online feature learning for condition monitoring of rotating machinery.

Sergio Martin del Campo, Fredrik Sandin

Eng. Appl. Artif. Intell., 2017

Dictionary learning with equiprobable matching pursuit.

Fredrik Sandin, Sergio Martin del Campo

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015

Towards zero-configuration condition monitoring based on dictionary learning.

Sergio Martin del Campo, Fredrik Sandin

Proceedings of the 23rd European Signal Processing Conference, 2015

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

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013