1.	M. Tabassian, R. Ghaderi and R. Ebrahimpour Combining complementary information sources in the dempster-shafer framework for solving classification problems with imperfect labels Knowledge-Based Systems 27 (2012), 92-102  [abstract]

2.	M. Tabassian, R. Ghaderi and R. Ebrahimpour Combination of multiple diverse classifiers using belief functions for handling data with imperfect labels Expert Systems with Applications 39 (2012), 1698-1707  [abstract]

3.	M. Tabassian, R. Ghaderi and R. Ebrahimpour Handling classification problems with imperfect labels using an evidence-based neural network ensemble IJICIC 7 (2011), 7051-7066  [abstract]

4.	M. Tabassian, R. Ghaderi and R. Ebrahimpour Knitted fabric defect classification for uncertain labels based on Dempster-Shafer theory of evidence Expert Systems with Applications 38 (2011), 5259-5267  [abstract]

5.	M. Tabassian, R. Ghaderi and R. Ebrahimpour Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels Lecture Notes in Artificial Intelligent 6438 (2010), 233-244  [abstract]

6.	S. Masoudnia, M. Rostami, M. Tabassian, A. Sajedin and R. Ebrahimpour Evidence-Based Mixture of MLP-Experts ( In: International joint conference on neural networks 2010) [abstract]