Jun Tan

According to our database, Jun Tan authored at least 8 papers between 2003 and 2021.

Collaborative distances:

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

2021

Deep Learning-Based COVID-19 Pneumonia Classification Using Chest CT Images: Model Generalizability.

Dan Nguyen, Fernando Kay, Jun Tan, Yulong Yan, Yee Seng Ng, Puneeth Iyengar, Ron Peshock, Steve B. Jiang

Frontiers Artif. Intell., 2021

A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision.

Ti Bai, Anjali Balagopal, Michael Dohopolski, Howard E. Morgan, Rafe McBeth, Jun Tan, Mu-Han Lin, David J. Sher, Dan Nguyen, Steve B. Jiang

CoRR, 2021

2007

Structural Hidden Markov Models Based on stochastic Context-Free Grammars.

Djamel Bouchaffra, Jun Tan

Control. Intell. Syst., 2007

2006

Structural hidden Markov models: An application to handwritten numeral recognition.

Djamel Bouchaffra, Jun Tan

Intell. Data Anal., 2006

Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs.

Djamel Bouchaffra, Jun Tan

Data Min. Knowl. Discov., 2006

Protein Fold Recognition using a Structural Hidden Markov Model.

Djamel Bouchaffra, Jun Tan

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2004

Introduction to the Concept of Structural HMM: Application to Mining Customers' Preferences in Automotive Design.

Djamel Bouchaffra, Jun Tan

Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003

Structural Hidden Markov Model and Its Application in Automotive Industry.

Djamel Bouchaffra, Jun Tan

Proceedings of the ICEIS 2003, 2003