Moumita Pramanik

Moumita Pramanik

Sikkim Manipal University

H-index: 7

Asia-India

About Moumita Pramanik

Moumita Pramanik, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Sikkim Manipal University, specializes in the field of Data mining, Machine Learning.

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

The ForEx++ based decision tree ensemble approach for robust detection of Parkinson’s disease

A Machine Leaning based Parkinson’s Detection using Acoustic Features

Intrusion detection in cyber–physical environment using hybrid Naïve Bayes—Decision table and multi-objective evolutionary feature selection

Machine learning methods with decision forests for Parkinson’s detection

Assessment of acoustic features and machine learning for Parkinson's detection

Biomarkers for detection of Parkinson’s disease using machine learning—A short review

A consolidated decision tree-based intrusion detection system for binary and multiclass imbalanced datasets

Performance assessment of supervised classifiers for designing intrusion detection systems: a comprehensive review and recommendations for future research

Moumita Pramanik Information

University

Position

___

Citations(all)

300

Citations(since 2020)

299

Cited By

11

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Sikkim Manipal University

Google Scholar

View Google Scholar Profile

Moumita Pramanik Skills & Research Interests

Data mining

Machine Learning

Top articles of Moumita Pramanik

Title

Journal

Author(s)

Publication Date

The ForEx++ based decision tree ensemble approach for robust detection of Parkinson’s disease

Journal of Ambient Intelligence and Humanized Computing

Moumita Pramanik

Ratika Pradhan

Parvati Nandy

Akash Kumar Bhoi

Paolo Barsocchi

2023/9

A Machine Leaning based Parkinson’s Detection using Acoustic Features

Moumita Pramanik

Samarjeet Borah

Parvati Nandy

Ratika Pradhan

2022/9/8

Intrusion detection in cyber–physical environment using hybrid Naïve Bayes—Decision table and multi-objective evolutionary feature selection

Computer Communications

Ranjit Panigrahi

Samarjeet Borah

Moumita Pramanik

Akash Kumar Bhoi

Paolo Barsocchi

...

2022/4/15

Machine learning methods with decision forests for Parkinson’s detection

Applied Sciences

Moumita Pramanik

Ratika Pradhan

Parvati Nandy

Akash Kumar Bhoi

Paolo Barsocchi

2021/1/8

Assessment of acoustic features and machine learning for Parkinson's detection

Journal of Healthcare Engineering

Moumita Pramanik

Ratika Pradhan

Parvati Nandy

Saeed Mian Qaisar

Akash Kumar Bhoi

2021/8

Biomarkers for detection of Parkinson’s disease using machine learning—A short review

Moumita Pramanik

Ratika Pradhan

Parvati Nandy

2021

A consolidated decision tree-based intrusion detection system for binary and multiclass imbalanced datasets

Mathematics

Ranjit Panigrahi

Samarjeet Borah

Akash Kumar Bhoi

Muhammad Fazal Ijaz

Moumita Pramanik

...

2021/3/31

Performance assessment of supervised classifiers for designing intrusion detection systems: a comprehensive review and recommendations for future research

Ranjit Panigrahi

Samarjeet Borah

Akash Kumar Bhoi

Muhammad Fazal Ijaz

Moumita Pramanik

...

2021/3/23

See List of Professors in Moumita Pramanik University(Sikkim Manipal University)