Farnoush Banaei-Kashani

About Farnoush Banaei-Kashani

Farnoush Banaei-Kashani, With an exceptional h-index of 26 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Colorado Denver, specializes in the field of Big Data Management and Mining.

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

Toward enhancing web privacy on HTTPS traffic: A novel SuperLearner attack model and an efficient defense approach with adversarial examples

Proteomic Networks and Related Genetic Variants Associated with Smoking and Chronic Obstructive Pulmonary Disease

A Generalized Higher-order Correlation Analysis Framework for Multi-Omics Network Inference

Clustered federated learning for heterogeneous feature spaces using siamese graph convolutional neural network distance prediction

Clinical markers associated with risk of suicide or drug overdose among individuals with smoking exposure: a longitudinal follow-up study of the COPDGene cohort

NetSHy: network summarization via a hybrid approach leveraging topological properties

Large scale proteomic studies create novel privacy considerations

Evaluation of Quantitative Decision‐Making for Rhythm Management of Atrial Fibrillation Using Tabular Q‐Learning

Farnoush Banaei-Kashani Information

University

Position

Assistant Proferssor of Computer Science and Engineering

Citations(all)

2441

Citations(since 2020)

730

Cited By

2171

hIndex(all)

26

hIndex(since 2020)

14

i10Index(all)

44

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Farnoush Banaei-Kashani Skills & Research Interests

Big Data Management and Mining

Top articles of Farnoush Banaei-Kashani

Title

Journal

Author(s)

Publication Date

Toward enhancing web privacy on HTTPS traffic: A novel SuperLearner attack model and an efficient defense approach with adversarial examples

Computers & Security

Masoumeh Abolfathi

Srivani Inturi

Farnoush Banaei-Kashani

J Haadi Jafarian

2024/4/1

Proteomic Networks and Related Genetic Variants Associated with Smoking and Chronic Obstructive Pulmonary Disease

medRxiv

Iain R Konigsberg

Thao Vu

Weixuan Liu

Elizabeth M Litkowski

Katherine A Pratte

...

2024

A Generalized Higher-order Correlation Analysis Framework for Multi-Omics Network Inference

bioRxiv

Weixuan Liu

Katherine A Pratte

Peter Castaldi

Craig Hersh

Russell P Bowler

...

2024

Clustered federated learning for heterogeneous feature spaces using siamese graph convolutional neural network distance prediction

Yuto Suzuki

Farnoush Banaei-Kashani

2023/7/2

Clinical markers associated with risk of suicide or drug overdose among individuals with smoking exposure: a longitudinal follow-up study of the COPDGene cohort

Chest

Brigid A Adviento

Elizabeth A Regan

Barry J Make

MeiLan K Han

Marilyn G Foreman

...

2023/2/1

NetSHy: network summarization via a hybrid approach leveraging topological properties

Bioinformatics

Thao Vu

Elizabeth M Litkowski

Weixuan Liu

Katherine A Pratte

Leslie Lange

...

2023/1/1

Large scale proteomic studies create novel privacy considerations

Scientific reports

Andrew C Hill

Claire Guo

Elizabeth M Litkowski

Ani W Manichaikul

Bing Yu

...

2023/6/7

Evaluation of Quantitative Decision‐Making for Rhythm Management of Atrial Fibrillation Using Tabular Q‐Learning

Journal of the American Heart Association

Christopher D Barrett

Yuto Suzuki

Sundos Hussein

Lohit Garg

Alexis Tumolo

...

2023/5/2

Unsupervised Discovery of Gene Expression Networks Associated With Pulmonary Function, Emphysema, and Smoking in COPDGene

IR Konigsberg

W Liu

KA Pratte

CP Hersh

BD Hobbs

...

2023/5

Heterogeneity analysis of acute exacerbations of chronic obstructive pulmonary disease and a deep learning framework with weak supervision and privacy protection

bioRxiv

Yuto Suzuki

Andrew Hill

Elena Engel

Ann Granchelli

Gabe Lockhart

...

2023/12/7

Deep learning on graphs for multi-omics classification of COPD

Plos one

Yonghua Zhuang

Fuyong Xing

Debashis Ghosh

Brian D Hobbs

Craig P Hersh

...

2023/4/21

Incremental Semi-Supervised Tri-Training: A framework for model personalization

Medha Chippa

Farnoush Banaei-Kashani

2023/12/5

“ImitAtion (In) Security” And the Polysemy of RussiAn DisinformAtion: A CAse Study in How IRA Trolls TArgeted US MilitAry VeterAns

Rhetoric and Public Affairs

Hamilton Bean

Stephen J Hartnett

Farnoush Banaei-Kashani

Haadi Jafarian

Alex Koutsoukos

2022/3/1

Data-Driven Bridge Management Using Descriptive and Predictive Machine Learning Models

Farnoush Banaei-Kashani

Kevin Arens

2022/12/1

Qualitative Evaluation of an Artificial Intelligence–Based Clinical Decision Support System to Guide Rhythm Management of Atrial Fibrillation: Survey Study

JMIR Formative Research

John Stacy

Rachel Kim

Christopher Barrett

Balaviknesh Sekar

Steven Simon

...

2022/8/11

iLFQA: A Platform for Efficient and Accurate Long-Form Question Answering

Rhys Butler

Vishnu Dutt Duggirala

Farnoush Banaei-Kashani

2022/2/11

A Wearable System for Behind-The-Ear Sensing and Stimulation

2022/7/14

Learn2pool: Efficient and effective ride assignment in ride sharing systems

Ryan Cheng

Selvakumar Jayaraman

Robert Fitzgerald

Farnoush Banaei-Kashani

2022/11/1

An Augmented High-Dimensional Graphical Lasso Method to Incorporate Prior Biological Knowledge for Global Network Learning

Frontiers in genetics

Yonghua Zhuang

Fuyong Xing

Debashis Ghosh

Farnoush Banaei-Kashani

Russell P Bowler

...

2022/1/27

Significant Subgraph Detection in Multi-omics Networks for Disease Pathway Identification

Frontiers in big Data

Mohamed Abdel-Hafiz

Mesbah Najafi

Shahab Helmi

Katherine A Pratte

Yonghua Zhuang

...

2022/6/22

See List of Professors in Farnoush Banaei-Kashani University(University of Colorado Denver)