Sivanagaraja Tatinati

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 22

Top Topics

Respiratory Motion

Receptive Fields

Signal Processing

Top Venues

Publications

Vedant Sandeep Joshi, Sivanagaraja Tatinati, Yubo Wang
Looking For A Match: Self-supervised Clustering For Automatic Doubt Matching In e-learning Platforms. CoRR (2022)
Kabita Adhikari, Sivanagaraja Tatinati, Kalyana C. Veluvolu, Jonathon A. Chambers
Physiological Tremor Filtering Without Phase Distortion for Robotic Microsurgery. IEEE Trans Autom. Sci. Eng. 19 (1) (2022)
Vedant Sandeep Joshi, Sivanagaraja Tatinati, Yubo Wang
YZR-net : Self-supervised Hidden representations Invariant to Transformations for profanity detection. CoRR (2022)
Sivanagaraja Tatinati, Yubo Wang, Andy W. H. Khong
Hybrid Method Based on Random Convolution Nodes for Short-Term Wind Speed Forecasting. IEEE Trans. Ind. Informatics 18 (10) (2022)
S. Supraja, Andy W. H. Khong, Sivanagaraja Tatinati
Regularized Phrase-Based Topic Model for Automatic Question Classification With Domain-Agnostic Class Labels. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Kelvin H. R. Ng, Sivanagaraja Tatinati, Andy W. H. Khong
Grade Prediction From Multi-Valued Click-Stream Traces via Bayesian-Regularized Deep Neural Networks. IEEE Trans. Signal Process. 69 (2021)
Zhen Cao, Sivanagaraja Tatinati, Andy W. H. Khong
Controllable Question Generation via Sequence-to-Sequence Neural Model with Auxiliary Information. IJCNN (2020)
Kai Liu, Sivanagaraja Tatinati, Andy W. H. Khong
A Weighted Feature Extraction Technique Based on Temporal Accumulation of Learner Behavior Features for Early Prediction of Dropouts. TALE (2020)
Kai Liu, Sivanagaraja Tatinati, Andy W. H. Khong
Context-Based Data Model for Effective Real-Time Learning Analytics. IEEE Trans. Learn. Technol. 13 (4) (2020)
Mun Kit Ho, Sivanagaraja Tatinati, Andy W. H. Khong
Distilling Essence of a Question: A Hierarchical Architecture for Question Quality in Community Question Answering Sites. IJCNN (2020)
Yubo Wang, Sivanagaraja Tatinati, Kabita Adhikari, Liyu Huang, Kianoush Nazarpour, Wei Tech Ang, Kalyana C. Veluvolu
Multi-Step Prediction of Physiological Tremor With Random Quaternion Neurons for Surgical Robotics Applications. IEEE Access 6 (2018)
Kelvin H. R. Ng, Sivanagaraja Tatinati, Andy W. H. Khong
Online Education Evaluation for Signal Processing Course Through Student Learning Pathways. ICASSP (2018)
S. Supraja, Sivanagaraja Tatinati, Kevin Hartman, Andy W. H. Khong
Automatically Linking Digital Signal Processing Assessment Questions to Key Engineering Learning Outcomes. ICASSP (2018)
Sivanagaraja Tatinati, Kianoush Nazarpour, Wei Tech Ang, Kalyana C. Veluvolu
Multidimensional Modeling of Physiological Tremor for Active Compensation in Handheld Surgical Robotics. IEEE Trans. Ind. Electron. 64 (2) (2017)
S. Supraja, Kevin Hartman, Sivanagaraja Tatinati, Andy W. H. Khong
Toward the Automatic Labeling of Course Questions for Ensuring their Alignment with Learning Outcomes. EDM (2017)
Sivanagaraja Tatinati, Mun Kit Ho, Andy W. H. Khong, Yubo Wang
End-to-end speech emotion recognition using multi-scale convolution networks. APSIPA (2017)
Kabita Adhikari, Sivanagaraja Tatinati, Kalyana C. Veluvolu, Jonathon A. Chambers, Kianoush Nazarpour
Real-time physiological tremor estimation using recursive singular spectrum analysis. EMBC (2017)
Yubo Wang, Sivanagaraja Tatinati, Liyu Huang, Kim Jeong Hong, Ghufran Shafiq, Kalyana C. Veluvolu, Andy W. H. Khong
Predictive local receptive fields based respiratory motion tracking for motion-adaptive radiotherapy. EMBC (2017)
Kabita Adhikari, Sivanagaraja Tatinati, Wei Tech Ang, Kalyana C. Veluvolu, Kianoush Nazarpour
A Quaternion Weighted Fourier Linear Combiner for Modeling Physiological Tremor. IEEE Trans. Biomed. Eng. 63 (11) (2016)
Sivanagaraja Tatinati, Yubo Wang, Kalyana C. Veluvolu
Modeling of physiological tremor with quaternion variant of extreme learning machines. ICCIP (2016)
Ghufran Shafiq, Sivanagaraja Tatinati, Kalyana C. Veluvolu
Automatic annotation of peaks in seismocardiogram for systolic time intervals. EMBC (2016)
Sivanagaraja Tatinati, Yan Naing Aye, Anand Pual, Wei Tech Ang, Kalyana C. Veluvolu
Three-dimensional modeling of physiological tremor for hand-held surgical robotic instruments. EMBC (2016)
Sivanagaraja Tatinati, Kalyana Chakravarthy Veluvolu, Wei Tech Ang
Multistep Prediction of Physiological Tremor Based on Machine Learning for Robotics Assisted Microsurgery. IEEE Trans. Cybern. 45 (2) (2015)
Kabita Adhikari, Sivanagaraja Tatinati, Kalyana C. Veluvolu, Kianoush Nazarpour
Modeling 3D tremor signals with a quaternion weighted Fourier Linear Combiner. NER (2015)
Sivanagaraja Tatinati, Kalyana C. Veluvolu, Sun-Mog Hong, Kianoush Nazarpour
Real-time prediction of respiratory motion traces for radiotherapy with ensemble learning. EMBC (2014)
Sivanagaraja Tatinati, Y. Wang, Ghufran Shafiq, Kalyana C. Veluvolu
Online LS-SVM based multi-step prediction of physiological tremor for surgical robotics. EMBC (2013)
Kalyana C. Veluvolu, Sivanagaraja Tatinati, S. M. Hong, Wei Tech Ang
Multi-step prediction of physiological tremor for robotics applications. EMBC (2013)
Ghufran Shafiq, Yubo Wang, Sivanagaraja Tatinati, Kalyana C. Veluvolu
ICA for Separation of Respiratory Motion and Heart Motion from Chest Surface Motion. ICONIP (3) (2013)
Kalyana C. Veluvolu, Sivanagaraja Tatinati, Sun-Mog Hong, Wei Tech Ang
Multistep Prediction of Physiological Tremor for Surgical Robotics Applications. IEEE Trans. Biomed. Eng. 60 (11) (2013)