Research Publications

This repository contains all of my research publications in one place as follows.

A fast algorithm for automatic segmentation of pancreas histological images for glucose intolerance identification.

Tathagata Bandyopadhyay, Shyamali Mitra, Sreetama Mitra, Luis Miguel Rato, Nibaran Das, and Mrinal Kanti Naskar. In Recent Developments in Machine Learning and Data Analytics (IC3 2018), pages 307-315. Springer, AISC, volume 740, 2018

Comparative analysis of feature extraction techniques in motor-imagery EEG signal classification.

Rajdeep Chatterjee, Tathagata Bandyopadhyay, Debarshi Kumar Sanyal, and Dibyajyoti Guha. In Proceedings of First International Conference on Smart Systems, Innovations and Computing, pages 73-83. Springer, SIST, volume 79, 2018

Analysis of pancreas histological images for glucose intolerance identification using wavelet decomposition.

Tathagata Bandyopadhyay, Sreetama Mitra, Shyamali Mitra, Luis Miguel Rato, and Nibaran Das. In Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications, pages 653-661. Springer, AISC, volume 515, 2017

Dimensionality reduction for EEG signal using fuzzy discernibility matrix.

Rajdeep Chatterjee, Tathagata Bandyopadhyay, Debarshi Kumar Sanyal, and Dibyajyoti Guha. In Proceedings of the 10th International Conference on Human System Interaction (HSI), pages 131-136. IEEE, 2017

Effects of wavelets on quality of features in motor-imagery EEG signal classification.

Rajdeep Chatterjee, Tathagata Bandyopadhyay, and Debarshi Kumar Sanyal. In Proceedings of International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), pages 1346-1350. IEEE, 2016

EEG based motor imagery classification using SVM and MLP.

Rajdeep Chatterjee and Tathagata Bandyopadhyay. In Proceedings of 2nd International Conference on Computational Intelligence and Networks (CINE), pages 84-89. IEEE, 2016