Sivanagaraja Tatinati

29 papers B 3Misc 2Journal 12Unranked 12

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