William Eberle

William Eberle

Tennessee Tech University

H-index: 20

North America-United States

About William Eberle

William Eberle, With an exceptional h-index of 20 and a recent h-index of 15 (since 2020), a distinguished researcher at Tennessee Tech University, specializes in the field of Data Mining, Anomaly Detection.

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

Advances in Explainable, Fair, and Trustworthy AI

Discovering breach patterns on the internet of health things: A graph and machine learning anomaly analysis

Domain Knowledge-Aided Explainable Artificial Intelligence

Instilling conscience about bias and fairness in automated decisions

Incorporating the concepts of fairness and bias into an undergraduate computer science course to promote fair automated decision systems

A Survey of Scalable Reinforcement Learning

Utilizing Real-Time Strategy for Penetration Testing

Self-Organizing Map-Based Graph Clustering and Visualization on Streaming Graphs

William Eberle Information

University

Position

___

Citations(all)

1977

Citations(since 2020)

1159

Cited By

1244

hIndex(all)

20

hIndex(since 2020)

15

i10Index(all)

37

i10Index(since 2020)

26

Email

University Profile Page

Google Scholar

William Eberle Skills & Research Interests

Data Mining

Anomaly Detection

Top articles of William Eberle

Advances in Explainable, Fair, and Trustworthy AI

INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS

2024/5

Discovering breach patterns on the internet of health things: A graph and machine learning anomaly analysis

The International FLAIRS Conference Proceedings

2022/5/4

William Eberle
William Eberle

H-Index: 12

Domain Knowledge-Aided Explainable Artificial Intelligence

arXiv preprint arXiv:1911.09853

2019/11/22

Instilling conscience about bias and fairness in automated decisions

Journal of Computing Sciences in Colleges

2022/4/1

Incorporating the concepts of fairness and bias into an undergraduate computer science course to promote fair automated decision systems

2022/3/3

A Survey of Scalable Reinforcement Learning

2022

William Eberle
William Eberle

H-Index: 12

Utilizing Real-Time Strategy for Penetration Testing

Int. J. Chaotic Comput.

2022

William Eberle
William Eberle

H-Index: 12

Self-Organizing Map-Based Graph Clustering and Visualization on Streaming Graphs

2022/11/28

William Eberle
William Eberle

H-Index: 12

Network Intrusion Detection and Attack Type Classification using Machine Learning

Proceedings of Student Research and Creative Inquiry Day

2022/5/20

William Eberle
William Eberle

H-Index: 12

Online Guard: Identifying the misinformation in social media and its impact on COVID-19 vaccination progress in different countries

Proceedings of Student Research and Creative Inquiry Day

2022/5/20

William Eberle
William Eberle

H-Index: 12

Anomaly detection in edge streams using term frequency-inverse graph frequency (tf-igf) concept

2021/12/15

William Eberle
William Eberle

H-Index: 12

Visualization of Anomalies using Graph-Based Anomaly Detection

The International FLAIRS Conference Proceedings

2021/4/18

Ramesh Paudel
Ramesh Paudel

H-Index: 3

William Eberle
William Eberle

H-Index: 12

Implications of Combining Domain Knowledge in Explainable Artificial Intelligence.

2021/3

Sheikh Rabiul Islam
Sheikh Rabiul Islam

H-Index: 5

William Eberle
William Eberle

H-Index: 12

Using ai/machine learning for reconnaissance activities during network penetration testing

International Conference on Cyber Warfare and Security

2021/2/1

George Stone
George Stone

H-Index: 2

William Eberle
William Eberle

H-Index: 12

Explainable artificial intelligence approaches: A survey

arXiv preprint arXiv:2101.09429

2021/1/23

Graph Filtering to Remove the" Middle Ground" for Anomaly Detection

2020/12/10

William Eberle
William Eberle

H-Index: 12

Lawrence Holder
Lawrence Holder

H-Index: 22

An approach for concept drift detection in a graph stream using discriminative subgraphs

ACM Transactions on Knowledge Discovery from Data (TKDD)

2020/9/28

Ramesh Paudel
Ramesh Paudel

H-Index: 3

William Eberle
William Eberle

H-Index: 12

Snapsketch: Graph representation approach for intrusion detection in a streaming graph

2020/8

Ramesh Paudel
Ramesh Paudel

H-Index: 3

William Eberle
William Eberle

H-Index: 12

Node Similarity for Anomaly Detection in Attributed Graphs

2020/5/5

Prajjwal Kandel
Prajjwal Kandel

H-Index: 1

William Eberle
William Eberle

H-Index: 12

Towards quantification of explainability in explainable artificial intelligence methods

2020/5/18

Sheikh Rabiul Islam
Sheikh Rabiul Islam

H-Index: 5

William Eberle
William Eberle

H-Index: 12

See List of Professors in William Eberle University(Tennessee Tech University)