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Aravind Ravi
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2020 – today
- 2023
- [c14]Maurice Abou Jaoude, Aravind Ravi, Jiansheng Niu, Hubert J. Banville, Nicolas Florez Torres, Christopher Aimone:
Automated Sleep Staging on Wearable EEG Enables Sleep Analysis at Scale. NER 2023: 1-4 - [c13]Aravind Ravi, James Tung, Ning Jiang:
Combined Action Observation, Motor Imagery and SSMVEP BCI Enhances Movement Related Cortical Potential. NER 2023: 1-4 - 2022
- [i4]Aravind Ravi:
Classification of Microscopy Images of Breast Tissue: Region Duplication based Self-Supervision vs. Off-the Shelf Deep Representations. CoRR abs/2202.06073 (2022) - 2021
- [j2]Yuanpei Gao, Aravind Ravi, Ning Jiang:
Effect of Competing Stimuli for Steady-State Visually Evoked Potential and Steady-State Motion Visually Evoked Potential. IEEE Access 9: 129820-129829 (2021) - [c12]Aravind Ravi, Jing Lu, Sarah Pearce, Ning Jiang:
Asynchronous SSMVEP BCI and Influence of Dynamic Background in Augmented Reality. M2VIP 2021: 340-343 - [c11]Yuanpei Gao, Aravind Ravi, Ning Jiang:
Does Inter-Stimulus Distance Influence the Decoding Performance of SSVEP and SSMVEP BCI? NER 2021: 507-510
2010 – 2019
- 2019
- [j1]Xin Zhang, Guanghua Xu, Aravind Ravi, Wenqiang Yan, Ning Jiang:
Fusing Frontal and Occipital EEG Features to Detect "Brain Switch" by Utilizing Convolutional Neural Network. IEEE Access 7: 82817-82825 (2019) - [c10]Sangaralingam Kajanan, Nisha Verma, Aravind Ravi, Su Won Bae, Anindya Datta:
High Value Customer Acquisition & Retention Modelling - A Scalable Data Mashup Approach. IEEE BigData 2019: 1907-1916 - [c9]Su Won Bae, Aravind Ravi, Sangaralingam Kajanan, Nisha Verma, Anindya Datta, Varun Chugh:
Suspicious Location Detection Using Trajectory Analysis & Location Backfilling - A Scalable Approach. IEEE BigData 2019: 2007-2010 - [c8]Aravind Ravi, Jacob Manuel, Nargess Heydari, Ning Jiang:
A Convolutional Neural Network for Enhancing the Detection of SSVEP in the Presence of Competing Stimuli. EMBC 2019: 6323-6326 - [c7]Aravind Ravi, Sarah Pearce, Xin Zhang, Ning Jiang:
User-Specific Channel Selection Method to Improve SSVEP BCI Decoding Robustness Against Variable Inter-Stimulus Distance. NER 2019: 283-286 - [c6]Xin Zhang, Guanghua Xu, Aravind Ravi, Sarah Pearce, Ning Jiang:
A Hybrid BCI Approach to Detect Brain Switch in Action Observation by Utilizing Convolution Neural Network. SMC 2019: 1327-1330 - [c5]Aravind Ravi, Nargess Heydari, Ning Jiang:
User-Independent SSVEP BCI Using Complex FFT Features and CNN Classification. SMC 2019: 4175-4180 - [i3]Xin Zhang, Guanghua Xu, Aravind Ravi, Sarah Pearce, Ning Jiang:
Simultaneous induction of SSMVEP and SMR Using a Gaiting video stimulus: a novel hybrid brain-computer interface. CoRR abs/1905.13161 (2019) - 2018
- [c4]Sangaralingam Kajanan, Nisha Verma, Aravind Ravi, Anindya Datta, Varun Chugh:
Predicting Age & Gender of Mobile Users at Scale - A Distributed Machine Learning Approach. IEEE BigData 2018: 1817-1826 - [c3]Aravind Ravi, Sangaralingam Kajanan, Anindya Datta:
Predicting Consumer Level Brand Preferences Using Persistent Mobility Patterns. IEEE BigData 2018: 1986-1991 - [c2]Aravind Ravi, Harshwin Venugopal, Sruthy Paul, Hamid R. Tizhoosh:
A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features. SSCI 2018: 1396-1402 - [i2]Aravind Ravi, Harshwin Venugopal, Sruthy Paul, Hamid R. Tizhoosh:
A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features. CoRR abs/1809.06217 (2018) - [i1]Aravind Ravi:
Pre-Trained Convolutional Neural Network Features for Facial Expression Recognition. CoRR abs/1812.06387 (2018) - 2015
- [c1]Ankur Agrawal, Wenvi Hidayat, Aravind Ravi, Mark Stamnes, Meishen Yin, Daniela K. Rosner:
SynKu: Exploring the Production of Sensory Objects. CHI Extended Abstracts 2015: 2121-2126
Coauthor Index
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