Aravind Ravi

According to our database, Aravind Ravi authored at least 19 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Combined Action Observation, Motor Imagery and SSMVEP BCI Enhances Movement Related Cortical Potential.

Aravind Ravi, James Tung, Ning Jiang

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Automated Sleep Staging on Wearable EEG Enables Sleep Analysis at Scale.

Maurice Abou Jaoude, Aravind Ravi, Jiansheng Niu, Hubert J. Banville, Nicolas Florez Torres, Christopher Aimone

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2022

Classification of Microscopy Images of Breast Tissue: Region Duplication based Self-Supervision vs. Off-the Shelf Deep Representations.

Aravind Ravi

CoRR, 2022

2021

Effect of Competing Stimuli for Steady-State Visually Evoked Potential and Steady-State Motion Visually Evoked Potential.

Yuanpei Gao, Aravind Ravi, Ning Jiang

IEEE Access, 2021

Does Inter-Stimulus Distance Influence the Decoding Performance of SSVEP and SSMVEP BCI?

Yuanpei Gao, Aravind Ravi, Ning Jiang

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Asynchronous SSMVEP BCI and Influence of Dynamic Background in Augmented Reality.

Aravind Ravi, Jing Lu, Sarah Pearce, Ning Jiang

Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021

2019

Simultaneous induction of SSMVEP and SMR Using a Gaiting video stimulus: a novel hybrid brain-computer interface.

Xin Zhang, Guanghua Xu, Aravind Ravi, Sarah Pearce, Ning Jiang

CoRR, 2019

Fusing Frontal and Occipital EEG Features to Detect "Brain Switch" by Utilizing Convolutional Neural Network.

Xin Zhang, Guanghua Xu, Aravind Ravi, Wenqiang Yan, Ning Jiang

IEEE Access, 2019

A Hybrid BCI Approach to Detect Brain Switch in Action Observation by Utilizing Convolution Neural Network.

Xin Zhang, Guanghua Xu, Aravind Ravi, Sarah Pearce, Ning Jiang

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

User-Independent SSVEP BCI Using Complex FFT Features and CNN Classification.

Aravind Ravi, Nargess Heydari, Ning Jiang

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

User-Specific Channel Selection Method to Improve SSVEP BCI Decoding Robustness Against Variable Inter-Stimulus Distance.

Aravind Ravi, Sarah Pearce, Xin Zhang, Ning Jiang

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

A Convolutional Neural Network for Enhancing the Detection of SSVEP in the Presence of Competing Stimuli.

Aravind Ravi, Jacob Manuel, Nargess Heydari, Ning Jiang

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

High Value Customer Acquisition & Retention Modelling - A Scalable Data Mashup Approach.

Sangaralingam Kajanan, Nisha Verma, Aravind Ravi, Su Won Bae, Anindya Datta

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Suspicious Location Detection Using Trajectory Analysis & Location Backfilling - A Scalable Approach.

Su Won Bae, Aravind Ravi, Sangaralingam Kajanan, Nisha Verma, Anindya Datta, Varun Chugh

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Pre-Trained Convolutional Neural Network Features for Facial Expression Recognition.

Aravind Ravi

CoRR, 2018

A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features.

Aravind Ravi, Harshwin Venugopal, Sruthy Paul, Hamid R. Tizhoosh

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Predicting Consumer Level Brand Preferences Using Persistent Mobility Patterns.

Aravind Ravi, Sangaralingam Kajanan, Anindya Datta

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Predicting Age & Gender of Mobile Users at Scale - A Distributed Machine Learning Approach.

Sangaralingam Kajanan, Nisha Verma, Aravind Ravi, Anindya Datta, Varun Chugh

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2015

SynKu: Exploring the Production of Sensory Objects.

Ankur Agrawal, Wenvi Hidayat, Aravind Ravi, Mark Stamnes, Meishen Yin, Daniela K. Rosner

Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015