Yuantao Fan

From ISLAB/CAISR



Yuantao Fan

Yuantao Fan, PhD. Candidate, M.Sc.



Family Name: Fan
Given Name: Yuantao
Role: PhD. Candidate
Title: M.Sc.
Subject: Learning Systems
Email: yuantao.fan@hh.se
url: 
Phone: 
Cell Phone: 




Subject areas: Vehicle Diagnostics, Data Mining
Application areas: Intelligent Vehicles
Projects: In4Uptime

Journal publications registered in DiVA

Hassan Mashad Nemati, Yuantao Fan, Fernando Alonso-Fernandez (2016). Hand Detection and Gesture Recognition Using Symmetric Patterns. Studies in Computational Intelligence. 642, pp. 365-375

Conference publications registered in DiVA

Ece Calikus, Yuantao Fan, Sławomir Nowaczyk, Anita Sant'Anna (2019). Interactive-cosmo : Consensus self-organized models for fault detection with expert feedback. 1st Workshop on Interactive Data Mining, WIDM 2019, co-located with 12th ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, Australia; 15 February, 2019.

Ece Calikus, Yuantao Fan, Sławomir Nowaczyk, Anita Sant'Anna (2019). Interactive-cosmo: Consensus self-organized models for fault detection with expert feedback. Workshop on Interactive Data Mining, The International Conference on Information and Knowledge Management.

Kunru Chen, Sepideh Pashami, Yuantao Fan, Sławomir Nowaczyk (2019). Predicting Air Compressor Failures Using Long Short Term Memory Networks. The 19th EPIA Conference on Artificial Intelligence 2019.

Sławomir Nowaczyk, Anita Sant'Anna, Ece Calikus, Yuantao Fan (2018). Monitoring equipment operation through model and event discovery. Intelligent Data Engineering and Automated Learning – IDEAL 2018, 19th International Conference, Madrid, Spain, November 21–23, 2018.

Simon Thelin, Oskar Svensson, Stefan Byttner, Yuantao Fan (2017). Indirect Tire Monitoring System - Machine Learning Approach. CAR 2017 - The International Congress of Automotive and Transport Engineering.

Xudong Teng, Yuantao Fan, Sławomir Nowaczyk (2016). Evaluation of Micro-flaws in Metallic Material Based on A Self-Organized Data-driven Approach. 2016 IEEE International Conference on Prognostics and Health Management, Carleton University, Ottawa, ON, Canada, June 20-22, 2016.

Yuantao Fan, Sławomir Nowaczyk, Thorsteinn Rögnvaldsson, Eric Aislan Antonelo (2016). Predicting Air Compressor Failures with Echo State Networks. Third European Conference of the Prognostics and Health Management Society 2016, Bilbao, Spain, 5-8 July, 2016.

Yuantao Fan, Sławomir Nowaczyk, Thorsteinn Rögnvaldsson (2014). Using Histograms to Find Compressor Deviations in Bus Fleet Data. The Swedish AI Society (SAIS) Workshop 2014, Stockholm, Sweden, May 22-23, 2014.