| Automatic identification of systolic time intervals in seismocardiogram G Shafiq, S Tatinati, WT Ang, KC Veluvolu Scientific reports 6 (1), 37524, 2016 | 74 | 2016 |
| Multistep Prediction of Physiological Tremor Based on Machine Learning for Robotics Assisted Microsurgery S Tatinati, KC Veluvolu, WT Ang IEEE Transactions on Cybernetics 45 (2), 328-339, 2015 | 66 | 2015 |
| Multistep prediction of physiological tremor for surgical robotics applications KC Veluvolu, S Tatinati, SM Hong, WT Ang IEEE Transactions on Biomedical Engineering 60 (11), 3074-3082, 2013 | 53 | 2013 |
| A quaternion weighted Fourier linear combiner for modeling physiological tremor K Adhikari, S Tatinati, WT Ang, KC Veluvolu, K Nazarpour IEEE Transactions on Biomedical Engineering 63 (11), 2336-2346, 2016 | 41 | 2016 |
| Physiological Tremor Estimation with Autoregressive (AR) model and Kalman Filter (KF) for Robotics Applications S Tatinati, K VELUVOLU, S Hong, W Latt, W Ang IEEE Sensors Journal, 1-1, 2013 | 36 | 2013 |
| Automatic annotation of peaks in seismocardiogram for systolic time intervals G Shafiq, S Tatinati, KC Veluvolu 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 33 | 2016 |
| A Hybrid Approach for Short‐Term Forecasting of Wind Speed S Tatinati, KC Veluvolu The Scientific World Journal 2013 (1), 548370, 2013 | 32 | 2013 |
| Toward the Automatic Labeling of Course Questions for Ensuring Their Alignment with Learning Outcomes. S Supraja, K Hartman, S Tatinati, AWH Khong International Educational Data Mining Society, 2017 | 28 | 2017 |
| Multidimensional modeling of physiological tremor for active compensation in handheld surgical robotics S Tatinati, K Nazarpour, WT Ang, KC Veluvolu IEEE Transactions on Industrial Electronics 64 (2), 1645-1655, 2016 | 28 | 2016 |
| End-to-end speech emotion recognition using multi-scale convolution networks T Sivanagaraja, MK Ho, AWH Khong, Y Wang 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 16 | 2017 |
| Grade prediction from multi-valued click-stream traces via Bayesian-regularized deep neural networks KHR Ng, S Tatinati, AWH Khong IEEE Transactions on Signal Processing 69, 1477-1491, 2021 | 13 | 2021 |
| Hybrid method based on random convolution nodes for short-term wind speed forecasting S Tatinati, Y Wang, AWH Khong IEEE Transactions on Industrial Informatics 18 (10), 7019-7029, 2020 | 13 | 2020 |
| Regularized phrase-based topic model for automatic question classification with domain-agnostic class labels S Supraja, AWH Khong, S Tatinati IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 3604-3616, 2021 | 12 | 2021 |
| Online LS-SVM based multi-step prediction of physiological tremor for surgical robotics S Tatinati, Y Wang, G Shafiq, KC Veluvolu 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 12 | 2013 |
| Automatically linking digital signal processing assessment questions to key engineering learning outcomes S Supraja, S Tatinati, K Hartman, AWH Khong 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 11 | 2018 |
| Ensemble framework based real-time respiratory motion prediction for adaptive radiotherapy applications S Tatinati, K Nazarpour, WT Ang, KC Veluvolu Medical Engineering & Physics 38 (8), 749-757, 2016 | 11 | 2016 |
| Online education evaluation for signal processing course through student learning pathways KHR Ng, S Tatinati, AWH Khong 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 10 | 2018 |
| A weighted feature extraction technique based on temporal accumulation of learner behavior features for early prediction of dropouts K Liu, S Tatinati, AWH Khong 2020 IEEE International Conference on Teaching, Assessment, and Learning for …, 2020 | 9 | 2020 |
| Real-time prediction of respiratory motion traces for radiotherapy with ensemble learning S Tatinati, KC Veluvolu, SM Hong, K Nazarpour 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 9 | 2014 |
| Context-based data model for effective real-time learning analytics K Liu, S Tatinati, AWH Khong IEEE Transactions on Learning Technologies 13 (4), 790-803, 2020 | 8 | 2020 |
Dr. K. C. VeluvoluProfessor of Electrical and Electronics EngineeringVerified email at ee.knu.ac.kr
