Uday kamath

Uday kamath

George Mason University

H-index: 13

North America-United States

About Uday kamath

Uday kamath, With an exceptional h-index of 13 and a recent h-index of 11 (since 2020), a distinguished researcher at George Mason University, specializes in the field of Machine Learning, Artificial Intelligence, Big Data, Natural Language Processing, Speech Recognition.

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

Low-resource multilingual machine learning framework

Bidirectional encoder representations from transformers (BERT)

Alert Actioning and Machine Learning Feedback

Transformers for machine learning: a deep dive

XAI: Challenges and Future

Introduction to interpretability and explainability

Explainable Deep Learning

Post-Hoc Interpretability and Explanations

Uday kamath Information

University

Position

___

Citations(all)

1153

Citations(since 2020)

994

Cited By

389

hIndex(all)

13

hIndex(since 2020)

11

i10Index(all)

18

i10Index(since 2020)

14

Email

University Profile Page

George Mason University

Google Scholar

View Google Scholar Profile

Uday kamath Skills & Research Interests

Machine Learning

Artificial Intelligence

Big Data

Natural Language Processing

Speech Recognition

Top articles of Uday kamath

Title

Journal

Author(s)

Publication Date

Low-resource multilingual machine learning framework

2023/6/8

Bidirectional encoder representations from transformers (BERT)

PeerJ Computer Science

R Sudheesh

Muhammad Mujahid

Furqan Rustam

Bhargav Mallampati

Venkata Chunduri

...

2023/8/3

Alert Actioning and Machine Learning Feedback

2022/9/15

Transformers for machine learning: a deep dive

Uday Kamath

Kenneth Graham

Wael Emara

2022/5/24

XAI: Challenges and Future

Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning

Uday Kamath

John Liu

Uday Kamath

John Liu

2021

Introduction to interpretability and explainability

Uday Kamath

John Liu

2021/8/3

Explainable Deep Learning

Uday Kamath

John Liu

2021/8/3

Post-Hoc Interpretability and Explanations

Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning

Uday Kamath

John Liu

Uday Kamath

John Liu

2021

Explainable artificial intelligence: an introduction to interpretable machine learning

Uday Kamath

John Liu

2021/12/15

PsychBERT: a mental health language model for social media mental health behavioral analysis

Vedant Vajre

Mitch Naylor

Uday Kamath

Amarda Shehu

2021/12/9

Model Visualization Techniques and Traditional Interpretable Algorithms

Uday Kamath

John Liu

2021/8/3

Model Interpretability: Advances in Interpretable Machine Learning

Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning

Uday Kamath

John Liu

Uday Kamath

John Liu

2021

Quantifying explainability in nlp and analyzing algorithms for performance-explainability tradeoff

arXiv preprint arXiv:2107.05693

Mitchell Naylor

Christi French

Samantha Terker

Uday Kamath

2021/7/12

Pre-model Interpretability and Explainability

Uday Kamath

John Liu

2021/8/3

Explainability in time series forecasting, natural language processing, and computer vision

Uday Kamath

John Liu

2021/8/3

SYSTEMS AND METHODS FOR QUICKLY CREATING, MANAGING AND SHARING LEARNING MODELS

2021/4/21

Systems and methods for rapidly building, managing, and sharing machine learning models

2020/6/25

See List of Professors in Uday kamath University(George Mason University)

Co-Authors

H-index: 51
Zenglin Xu

Zenglin Xu

Harbin Institute of Technology

H-index: 40
Carlotta Domeniconi

Carlotta Domeniconi

George Mason University

H-index: 32
Jessica Lin

Jessica Lin

George Mason University

H-index: 31
Amarda Shehu

Amarda Shehu

George Mason University

H-index: 26
Yazhou Ren (任亚洲)

Yazhou Ren (任亚洲)

University of Electronic Science and Technology of China

H-index: 14
Jeffrey K. Bassett

Jeffrey K. Bassett

George Mason University

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