Mustafa Bilgic

Mustafa Bilgic

Illinois Institute of Technology

H-index: 20

North America-United States

About Mustafa Bilgic

Mustafa Bilgic, With an exceptional h-index of 20 and a recent h-index of 14 (since 2020), a distinguished researcher at Illinois Institute of Technology, specializes in the field of Interactive Machine Learning, Active Learning, Interpretable Machine Learning, Explainable AI, Statistical Relational Learning.

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

IDGI: A framework to eliminate explanation noise from integrated gradients

Context-aware feature selection and classification

The Analysis of the Expected Change in the Classification Probability of the Predicted Label

OrganoID: a versatile deep learning platform for organoid image analysis

OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics

Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation

Leaders or followers? A temporal analysis of tweets from IRA trolls

Ranking-constrained learning with rationales for text classification

Mustafa Bilgic Information

University

Position

___

Citations(all)

5751

Citations(since 2020)

3767

Cited By

3191

hIndex(all)

20

hIndex(since 2020)

14

i10Index(all)

32

i10Index(since 2020)

17

Email

University Profile Page

Illinois Institute of Technology

Google Scholar

View Google Scholar Profile

Mustafa Bilgic Skills & Research Interests

Interactive Machine Learning

Active Learning

Interpretable Machine Learning

Explainable AI

Statistical Relational Learning

Top articles of Mustafa Bilgic

Title

Journal

Author(s)

Publication Date

IDGI: A framework to eliminate explanation noise from integrated gradients

Ruo Yang

Binghui Wang

Mustafa Bilgic

2023

Context-aware feature selection and classification

Juanyan Wang

Mustafa Bilgic

2023/8/19

The Analysis of the Expected Change in the Classification Probability of the Predicted Label

Transactions on Machine Learning Research

Ruo Yang

Ping Liu

Mustafa Bilgic

2023/5/24

OrganoID: a versatile deep learning platform for organoid image analysis

bioRxiv

Jonathan Matthews

Brooke Schuster

Sara Saheb Kashaf

Ping Liu

Mustafa Bilgic

...

2022/1/16

OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics

PLoS computational biology

Jonathan M Matthews

Brooke Schuster

Sara Saheb Kashaf

Ping Liu

Rakefet Ben-Yishay

...

2022/11/9

Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation

Karthik Shivaram

Ping Liu

Matthew Shapiro

Mustafa Bilgic

Aron Culotta

2022/9/18

Leaders or followers? A temporal analysis of tweets from IRA trolls

Proceedings of the International AAAI Conference on Web and Social Media

Siva K Balasubramanian

Mustafa Bilgic

Aron Culotta

Libby Hemphill

Anita Nikolich

...

2022/5/31

Ranking-constrained learning with rationales for text classification

Juanyan Wang

Manali Sharma

Mustafa Bilgic

2022/5

Computer vision reveals hidden variables underlying NF-κB activation in single cells

Science Advances

Parthiv Patel

Nir Drayman

Ping Liu

Mustafa Bilgic

Savaş Tay

2021/10/22

Relational classification of biological cells in microscopy images

Proceedings of the AAAI Conference on Artificial Intelligence

Ping Liu

Mustafa Bilgic

2021/5/18

The interaction between political typology and filter bubbles in news recommendation algorithms

Ping Liu

Karthik Shivaram

Aron Culotta

Matthew A Shapiro

Mustafa Bilgic

2021/4/19

See List of Professors in Mustafa Bilgic University(Illinois Institute of Technology)

Co-Authors

H-index: 133
Ben Shneiderman

Ben Shneiderman

University of Maryland, Baltimore

H-index: 73
Lise Getoor

Lise Getoor

University of California, Santa Cruz

H-index: 64
David W. Jacobs

David W. Jacobs

University of Maryland, Baltimore

H-index: 58
andrey rzhetsky

andrey rzhetsky

University of Chicago

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