Debrup Banerjee

According to our database, Debrup Banerjee authored at least 11 papers between 2010 and 2020.

Collaborative distances:

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

2020

Image Retrieval Scheme Using Quantized Bins of Color Image Components and Adaptive Tetrolet Transform.

Naushad Varish, Arup Kumar Pal, Rosilah Hassan, Mohammad Kamrul Hasan, Asif Khan, Nikhat Parveen, Debrup Banerjee, Vidyullatha Pellakuri, Amin Ul Haqis, Imran Memon

IEEE Access, 2020

2019

A deep transfer learning approach for improved post-traumatic stress disorder diagnosis.

Debrup Banerjee, Kazi Aminul Islam, Keyi Xue, Gang Mei, Lemin Xiao, Guangfan Zhang, Roger Xu, Cai Lei, Shuiwang Ji, Jiang Li

Knowl. Inf. Syst., 2019

2017

Speech Based Machine Learning Models for Emotional State Recognition and PTSD Detection.

Debrup Banerjee

PhD thesis, 2017

Deep learning for effective detection of excavated soil related to illegal tunnel activities.

Daniel Pérez Ibañez, Debrup Banerjee, Chiman Kwan, Minh Dao, Yuzhong Shen, Kris Koperski, Giovanni Marchisio, Jiang Li

Proceedings of the 8th IEEE Annual Ubiquitous Computing, 2017

A Deep Transfer Learning Approach for Improved Post-Traumatic Stress Disorder Diagnosis.

Debrup Banerjee, Kazi Aminul Islam, Gang Mei, Lemin Xiao, Guangfan Zhang, Roger Xu, Shuiwang Ji, Jiang Li

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2013

High-dimensional MRI data analysis using a large-scale manifold learning approach.

Loc Tran, Debrup Banerjee, Jihong Wang, Ashok J. Kumar, Frederic D. McKenzie, Yaohang Li, Jiang Li

Mach. Vis. Appl., 2013

2012

A combination of CBR and bottom up approach for fever detection.

Samaresh Deyashi, Debrup Banerjee, Baisakhi Chakraborty

Proceedings of the IEEE 10th International Conference on Industrial Informatics, 2012

Feature selection for RFID tag identification.

Debrup Banerjee, Jiang Li, Jia Di, Dale R. Thompson

Proceedings of the 7th International Conference on Communications and Networking in China, 2012

2011

A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction.

Loc Tran, Debrup Banerjee, Xiaoyan Sun, Jihong Wang, Ashok J. Kumar, David Vinning, Frederic D. McKenzie, Yaohang Li, Jiang Li

Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

Prediction of brain tumor progression using multiple histogram matched MRI scans.

Debrup Banerjee, Loc Tran, Jiang Li, Yuzhong Shen, Frederic D. McKenzie, Jihong Wang

Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

2010

Prediction of brain tumor progression using a machine learning technique.

Yuzhong Shen, Debrup Banerjee, Jiang Li, Adam Chandler, Yu-Fei Shen, Frederic D. McKenzie, Jihong Wang

Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010