Yelena Yesha

Yelena Yesha

University of Maryland, Baltimore County

H-index: 38

North America-United States

About Yelena Yesha

Yelena Yesha, With an exceptional h-index of 38 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Maryland, Baltimore County, specializes in the field of Big data analytics.

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

Quantifying input data drift in medical machine learning models by detecting change-points in time-series data

Ability of Caprini and Padua risk-assessment models to predict venous thromboembolism in a nationwide Veterans Affairs study

Clinical Factors Impacting Differences in Rates of Venous Thromboembolism Black and White Veterans

Active semi-supervised learning via bayesian experimental design for lung cancer classification using low dose computed tomography scans

Enabling Quartile-based Estimated-Mean Gradient Aggregation As Baseline for Federated Image Classifications

Evaluating the Ability of Caprini and Padua Scores to Predict Venous Thromboembolism in a Nationwide Study

CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images

Automating Cloud Services Lifecycle Through Semantic Technologies

Yelena Yesha Information

University

Position

___

Citations(all)

6769

Citations(since 2020)

867

Cited By

6188

hIndex(all)

38

hIndex(since 2020)

14

i10Index(all)

102

i10Index(since 2020)

30

Email

University Profile Page

University of Maryland, Baltimore County

Google Scholar

View Google Scholar Profile

Yelena Yesha Skills & Research Interests

Big data analytics

Top articles of Yelena Yesha

Title

Journal

Author(s)

Publication Date

Quantifying input data drift in medical machine learning models by detecting change-points in time-series data

Smriti Prathapan

Ravi K Samala

Nathan Hadjiyski

Pierre-François D’Haese

Fabien Maldonado

...

2024/4/3

Ability of Caprini and Padua risk-assessment models to predict venous thromboembolism in a nationwide Veterans Affairs study

Journal of Vascular Surgery: Venous and Lymphatic Disorders

Hilary Hayssen

Shalini Sahoo

Phuong Nguyen

Minerva Mayorga-Carlin

Tariq Siddiqui

...

2024/3/1

Clinical Factors Impacting Differences in Rates of Venous Thromboembolism Black and White Veterans

Journal of Vascular Surgery: Venous and Lymphatic Disorders

Hilary Hayssen

Shalini Sahoo

Brian Englum

Minerva Mayorga-Carlin

Tariq Siddiqui

...

2024/5/1

Active semi-supervised learning via bayesian experimental design for lung cancer classification using low dose computed tomography scans

Applied Sciences

Phuong Nguyen

Ankita Rathod

David Chapman

Smriti Prathapan

Sumeet Menon

...

2023/3/15

Enabling Quartile-based Estimated-Mean Gradient Aggregation As Baseline for Federated Image Classifications

arXiv preprint arXiv:2309.12267

Yusen Wu

Jamie Deng

Hao Chen

Phuong Nguyen

Yelena Yesha

2023/9/21

Evaluating the Ability of Caprini and Padua Scores to Predict Venous Thromboembolism in a Nationwide Study

Journal of Vascular Surgery: Venous and Lymphatic Disorders

Hilary Hayssen

Shalini Sahoo

Brian Englum

Phuong Nguyen

Minerva Mayorga-Carlin

...

2023/3/1

CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images

Journal of Digital Imaging

Sumeet Menon

Jayalakshmi Mangalagiri

Josh Galita

Michael Morris

Babak Saboury

...

2023/8

Automating Cloud Services Lifecycle Through Semantic Technologies

2016/5/26

Improving VTE Identification through Adaptive NLP Model Selection and Clinical Expert Rule-based Classifier from Radiology Reports

Jamie Deng

Yusen Wu

Hilary Hayssen

Brain Englum

Aman Kankaria

...

2023/12/5

Assessment of Bleeding Risk in Patients Being Considered for VTE Pharmacoprophylaxis in a Large Nationwide Cohort

Journal of Vascular Surgery

Hilary Hayssen

Shalini Sahoo

Tariq Siddiqui

Phuong Nguyen

Minerva Mayorga-Carlin

...

2023/6/1

Prediction of bleeding in patients being considered for venous thromboembolism prophylaxis

Journal of Vascular Surgery: Venous and Lymphatic Disorders

Shalini Sahoo

Hilary Hayssen

Brian Englum

Minerva Mayorga-Carlin

Tariq Siddiqui

...

2023/11/1

Natural language processing for breast imaging: a systematic review

Kareem Mahmoud Diab

Jamie Deng

Yusen Wu

Yelena Yesha

Fernando Collado-Mesa

...

2023/4/14

Soft Merging: A Flexible and Robust Soft Model Merging Approach for Enhanced Neural Network Performance

arXiv preprint arXiv:2309.12259

Hao Chen

Yusen Wu

Phuong Nguyen

Chao Liu

Yelena Yesha

2023/9/21

Pairwise meta learning pipeline: classifying COVID-19 abnormalities on chest radio-graphs

SPIE Medical Imaging 2022: Computer-Aided Diagnosis; PC1203302 (2022) Proceedings Volume PC12033, Medical Imaging 2022: Computer-Aided Diagnosis; PC1203302 (2022)

Sourajit Saha

Yaacov Yesha

2022/1

Systematic review of venous thromboembolism risk categories derived from Caprini score

Hilary Hayssen

Rafael Cires-Drouet

Brian Englum

Phuong Nguyen

Shalini Sahoo

...

2022/11/1

Apply Trust Computing and Privacy Preserving Smart Contracts to Manage, Share, and Analyze Multi-site Clinical Trial Data

Yusen Wu

Chao Liu

Lawrence Sebald

Phuong Nguyen

Yelena Yesha

2022/8/22

Bring Trust to Edge: Secure and Decentralized IoT Framework with BFT and Permissioned Blockchain

Yusen Wu

Jinghui Liao

Phuong Nguyen

Weisong Shi

Yelena Yesha

2022/7/10

Challenges and issues in data science education

Jerry Bonnell

Mitsunori Ogihara

Yelena Yesha

2022/2/14

Classification of COVID-19 using Deep Learning and Radiomic Texture Features extracted from CT scans of Patients Lungs

Jayalakshmi Mangalagiri

Jones Sam Sugumar

Sumeet Menon

David Chapman

Yaacov Yesha

...

2021/12/15

Tolerating adversarial attacks and byzantine faults in distributed machine learning

Yusen Wu

Hao Chen

Xin Wang

Chao Liu

Phuong Nguyen

...

2021/12/15

See List of Professors in Yelena Yesha University(University of Maryland, Baltimore County)