Embedded Files
"An Efficient Approach to EEG-Based Emotion Recognition using LSTM Network" by Debarshi Nath and Anubhav at International Workshop of Science of Intelligence on Jan 8, 2020 at IIT Jodhpur
"An Efficient Approach to EEG-Based Emotion Recognition using LSTM Network" by Debarshi Nath and Anubhav at International Workshop of Science of Intelligence on Jan 8, 2020 at IIT Jodhpur
Conference Papers Published:
Divyashikha Sethia, Anil Singh Parihar, Aheli Ghosh, Tanish Grover, Deep Diwakar, Shivam Kumar, Utkarsh Tyagi "mFlameGaze: Mobile-Based Flame Gazing for Improving Sustained Attention", accepted in COMSNETS 2021 -
Minni Jain, Rishabh Doshi, Vibhu Sehra, and Divyashikha Sethia, "Exploring the effects of different Embedding algorithms and Neural Architectures on early detection of Alzheimer's Disease", accepted in Springer. International Semantic Intelligence Conference (ISIC 2021), to be presented in Feb 2021.
Debarshi Nath, Anubhav, Mrigank Singh, Divyashikha Sethia, Diksha Kalra, S. Indu, "A Comparative Study of Subject-Dependent and Subject-Independent Strategies for EEG-Based Emotion Recognition using LSTM Network", ACM Int Conf ICCDA , San Jose, 2020
Debarshi Nath, Anubhav, Mrigank Singh, Divyashikha Sethia, Diksha Kalra, S. Indu, An Efficient Approach to EEG-Based EmotionRecognition using LSTM Network at IEEE conference 16th IEEE Colloquium on Signal Processing and its Applications (CSPA 2020), Malaysia
Divyashikha Sethia et al., "Constant Size CP-ABE with Scalable Revocation for Resource-Constrained IoT Devices", IEEE Proc . Int. Conf. UEMCON 2019, New York
Journal Papers Published:
Debarshi Nath, Anubhav, Mrigank Singh, Divyashikha Sethia, Diksha Kalra, S. Indu,, EEG-based Mental Workload Detection in a Mental Arithmetic Task using Machine Learning, IJAST,
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