Ram Bilas Pachori

Cognitive Neuroscience · 2012–2017

A researcher in the Science corpus: 5 papers; trusts 40 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 48 citations into it; #3,472 of 10,852 by trust here, #5,677 by citations
• Signal Processing — 39 citations into it; #3,926 of 7,572 by trust here, #3,784 by citations
• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Control and Systems Engineering — 11 citations into it
• Cardiology and Cardiovascular Medicine — 6 citations into it; #117 of 906 by trust here, #521 by citations
• Evaluation & Benchmarks — 6 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Ram Bilas Pachori trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ron Kohavi
2. Rajeev Sharma
3. Vladimir Naumovich Vapni
4. Jérôme Gilles
5. Ling Guo
6. Varun Bajaj
7. Norden E. Huang
8. Hojjat Adeli
9. Joshua S. Richman
10. Trevor J. Hastie

Who trusts Ram Bilas Pachori overall

1. Rajeev Sharma
2. Abhijit Bhattacharyya
3. Usha R. Acharya
4. Yonghao Song

Papers from Ram Bilas Pachori's perspective

Ordered by how strongly the researchers Ram Bilas Pachori trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. Physiological time-series analysis using approximate entropy and sample entropy. (American Journal of Physiology. Heart and Circulatory Physiology)
3. Random Forests
4. Bivariate Empirical Mode Decomposition (IEEE Signal Processing Letters)
5. SMOTE: Synthetic Minority Over-sampling Technique
6. A Mathematical Theory of Communication
7. The WEKA data mining software: an update
8. Programs for Machine Learning
9. Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal (Artif. Intell. Medicine)
10. Sample entropy analysis of neonatal heart rate variability. (American Journal of Physiology. Regulatory Integrative and Comparative Physiology)

Their papers

• A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension (2017) — 355 citations
• A Multivariate Approach for Patient-Specific EEG Seizure Detection Using Empirical Wavelet Transform (2017) — 365 citations
• Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions (2015) — 396 citations
• Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals (2015) — 299 citations
• Classification of Seizure and Nonseizure EEG Signals Using Empirical Mode Decomposition (2012) — 469 citations