Doaa Hassan Salem

Doaa Hassan Salem

Indiana University Bloomington

H-index: 8

North America-United States

About Doaa Hassan Salem

Doaa Hassan Salem, With an exceptional h-index of 8 and a recent h-index of 7 (since 2020), a distinguished researcher at Indiana University Bloomington, specializes in the field of Applied Machine Learning, Computational Biology, Biomedical Data Science, Information Security, Social Network analysis.

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

A Comparative study of intrusion detection systems applied to NSL-KDD Dataset

Clinical Features for Detecting Diabetic Macular Edema using Artificial Intelligence

Anomaly-based intrusion detection system based on feature selection and majority voting

Combining transfer learning with retinal lesion features for accurate detection of diabetic retinopathy

Clinical Features Distinguishing Diabetic Retinopathy Severity Using Artificial Intelligence

Penguin: a tool for predicting pseudouridine sites in direct RNA nanopore sequencing data

Nm-Nano: A Machine Learning Framework for Transcriptome-Wide Single Molecule Mapping of 2´-O-Methylation (Nm) Sites in Nanopore Direct RNA Sequencing Datasets

Doaa Hassan Salem Information

University

Position

Adjunct lecturer & Research Scholar, Biohealth Informatics Dept.,School of Informatics and Computing

Citations(all)

202

Citations(since 2020)

102

Cited By

131

hIndex(all)

8

hIndex(since 2020)

7

i10Index(all)

8

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Doaa Hassan Salem Skills & Research Interests

Applied Machine Learning

Computational Biology

Biomedical Data Science

Information Security

Social Network analysis

Top articles of Doaa Hassan Salem

A Comparative study of intrusion detection systems applied to NSL-KDD Dataset

The Egyptian International Journal of Engineering Sciences and Technology

2023/9/1

Clinical Features for Detecting Diabetic Macular Edema using Artificial Intelligence

Proceedings of IMPRS

2023

Anomaly-based intrusion detection system based on feature selection and majority voting

Indonesian Journal of Electrical Engineering and Computer Science

2023

Combining transfer learning with retinal lesion features for accurate detection of diabetic retinopathy

Frontiers in Medicine

2022/11/8

Clinical Features Distinguishing Diabetic Retinopathy Severity Using Artificial Intelligence

Proceedings of IMPRS

2022/7/29

Penguin: a tool for predicting pseudouridine sites in direct RNA nanopore sequencing data

Methods

2022/7/1

Nm-Nano: A Machine Learning Framework for Transcriptome-Wide Single Molecule Mapping of 2´-O-Methylation (Nm) Sites in Nanopore Direct RNA Sequencing Datasets

bioRxiv

2022/1/4

See List of Professors in Doaa Hassan Salem University(Indiana University Bloomington)

Co-Authors

academic-engine