ProfessorsProfessors of Indian Statistical InstituteCA Murthy

CA Murthy

Indian Statistical Institute

H-index: 38

Asia-India

About CA Murthy

CA Murthy, With an exceptional h-index of 38 and a recent h-index of 17 (since 2020), a distinguished researcher at Indian Statistical Institute, specializes in the field of Pattern Recognition, Image Processing, Neural Networks, Fractals, Genetic Algorithms.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Relative Density Based Biclustering Method for Identifying Non-Linear Feature Relations

Systems and methods for detecting anomaly in a cardiovascular signal using hierarchical extremas and repetitions

Method and system for pattern recognition in a signal using morphology aware symbolic representation

Anomaly detection by self-learning of sensor signals

Some new copula based distribution-free tests of independence among several random variables

CA Murthy Information

University	Indian Statistical Institute
Position	Professor Machine Intelligence Unit India
Citations(all)	7276
Citations(since 2020)	1614
Cited By	6405
hIndex(all)	38
hIndex(since 2020)	17
i10Index(all)	87
i10Index(since 2020)	32
Email	Access Email
University Profile Page	Indian Statistical Institute
Google Scholar	View Google Scholar Profile

CA Murthy Skills & Research Interests

Pattern Recognition

Image Processing

Neural Networks

Fractals

Genetic Algorithms

Top articles of CA Murthy

Title	Journal	Author(s)	Publication Date
A Relative Density Based Biclustering Method for Identifying Non-Linear Feature Relations	Available at SSRN 4607100	Namita Jain Susmita Ghosh CA Murthy Ashish Ghosh	2023/10/26
Systems and methods for detecting anomaly in a cardiovascular signal using hierarchical extremas and repetitions			2022/4/19
Method and system for pattern recognition in a signal using morphology aware symbolic representation			2022/3/1
Anomaly detection by self-learning of sensor signals			2020/8/18
Some new copula based distribution-free tests of independence among several random variables	Sankhya A	Angshuman Roy Anil K Ghosh Alok Goswami CA Murthy	2020/7/15