R. Pradeep Kumar

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 3

Top Topics

Gradient Boosting

Computational Model

Financial Time Series

Probability Distribution

Top Venues

Biomed. Signal Process. Control.

Publications

N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, J. Sivaraman
Atrial lead system for enhanced P-wave recording: A comparative study on optimal leads using gradient boosting and deep learning algorithms. Biomed. Signal Process. Control. 97 (2024)
N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, J. Sivaraman
Automated atrial arrhythmia classification using 1D-CNN-BiLSTM: A deep network ensemble model. Biomed. Signal Process. Control. 97 (2024)
N. Prasanna Venkatesh, R. Pradeep Kumar, Bala Chakravarthy Neelapu, Kunal Pal, J. Sivaraman
Atrial Features-Based Prediction of Sinus Tachycardia Using LSTM-RNN Model. CinC (2023)
Vani V, R. Pradeep Kumar, S. Mohan
Predictive Modeling of User Interaction Patterns for 3D Mesh Streaming. Int. J. Inf. Technol. Web Eng. 7 (4) (2012)
Syed Zakir Ali, P. Nagabhushan, R. Pradeep Kumar, Nisar Hundewale
Sequence Compulsive Incremental Updating of Knowledge in Learning Management Systems. KMO (2012)
Vani V, R. Pradeep Kumar, S. Mohan, Esrah Livingston
Application and Evaluation of Open Wonderland in Constructing Web based 3D Virtual World: A Case Study. IICAI (2011)
Syed Zakir Ali, P. Nagabhushan, R. Pradeep Kumar
Regression based Incremental Learning through Cluster Analysis of Temporal data. DMIN (2009)
T. Punitha, R. Pradeep Kumar, R. Seshadri, Raman Srinivasan
Mooshak A Valuable Repository of Codes. ICALT (2008)
N. Prabhu, R. Pradeep Kumar, T. Punitha, Raman Srinivasan
Whiteboard documentation through foreground object detection and stroke classification. SMC (2008)
R. Pradeep Kumar, P. Nagabhushan
An Approach Based on Regression Line Features for Low Complexity Content Based Image Retrieval. ICCTA (2007)
R. Pradeep Kumar, P. Nagabhushan
Multiresolution Knowledge Mining using Wavelet Transform. Eng. Lett. 14 (1) (2007)
P. Nagabhushan, R. Pradeep Kumar
Histogram PCA. ISNN (2) (2007)
R. Pradeep Kumar, P. Nagabhushan, Ahlame Douzal Chouakria
WaveSim and Adaptive WaveSim Transform for Subsequence Time-Series Clustering. ICIT (2006)
R. Pradeep Kumar, P. Nagabhushan
AB Distance Based Histogram Clustering for Mining Multi-Channel EEG Data Using Wavesim Transform. IEEE ICCI (2006)
R. Pradeep Kumar, P. Nagabhushan
Time Series as a Point - A Novel Approach for Time Series Cluster Visualization. DMIN (2006)
R. Pradeep Kumar, P. Nagabhushan
Wavesim transform - a new perspective of wavelet transform for temporal data clustering. GrC (2006)
R. Pradeep Kumar, P. Nagabhushan
Transform for Multi-channel Signal Data Mining Through Linear Regression PCA . ADMA (2006)