Billy Joe Franks

About Billy Joe Franks

Billy Joe Franks, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Technische Universität Kaiserslautern, specializes in the field of anomaly detection, machine learning, deep learning, reinforcement learning.

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

Weisfeiler-Leman at the margin: When more expressivity matters

Ordinal Regression for Difficulty Prediction of StepMania Levels

Deep anomaly detection on tennessee eastman process data

A Systematic Approach to Universal Random Features in Graph Neural Networks

Ordinal Regression for Difficulty Estimation of StepMania Levels

Exposing outlier exposure: What can be learned from few, one, and zero outlier images

A systematic approach to random data augmentation on graph neural networks

Explainable deep one-class classification

Billy Joe Franks Information

University

Position

PhD student of Computer Science

Citations(all)

317

Citations(since 2020)

317

Cited By

12

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Billy Joe Franks Skills & Research Interests

anomaly detection

machine learning

deep learning

reinforcement learning

Top articles of Billy Joe Franks

Weisfeiler-Leman at the margin: When more expressivity matters

arXiv preprint arXiv:2402.07568

2024/2/12

Ordinal Regression for Difficulty Prediction of StepMania Levels

2023/9/17

Billy Joe Franks
Billy Joe Franks

H-Index: 2

Marius Kloft
Marius Kloft

H-Index: 24

A Systematic Approach to Universal Random Features in Graph Neural Networks

Transactions on Machine Learning Research

2023/5/25

Billy Joe Franks
Billy Joe Franks

H-Index: 2

Marius Kloft
Marius Kloft

H-Index: 24

Ordinal Regression for Difficulty Estimation of StepMania Levels

arXiv preprint arXiv:2301.09485

2023/1/23

Billy Joe Franks
Billy Joe Franks

H-Index: 2

Marius Kloft
Marius Kloft

H-Index: 24

Exposing outlier exposure: What can be learned from few, one, and zero outlier images

Transactions on Machine Learning Research (TMLR)

2022/5/23

A systematic approach to random data augmentation on graph neural networks

arXiv preprint arXiv:2112.04314

2021/12/8

Billy Joe Franks
Billy Joe Franks

H-Index: 2

Marius Kloft
Marius Kloft

H-Index: 24

Rethinking assumptions in deep anomaly detection

arXiv preprint arXiv:2006.00339

2020/5/30

See List of Professors in Billy Joe Franks University(Technische Universität Kaiserslautern)

Co-Authors

academic-engine