Machine Learning Interpretation

Machine Learning Interpretation is a methodological framework within ground-penetrating radar analysis that employs machine learning algorithms to automatically identify, classify, and explain subsurface features from radar data by learning complex patterns and relationships in a data-driven manner.

Publications

3.2K

Citations

269

Authors

106

Institutions

Publications per year

2017–2026

Parents

Ground-penetrating Radar

Publications

Machine learning in concrete science: applications, challenges, and best practices

Zhanzhao Li, Jinyoung Yoon, Rui Zhang et al. · npj Computational Materials · 2022 · 325 citations · Full text

Architecture, Building Science, Civil Engineering +17

Machine interpretation of line drawings

Computer Vision Graphics and Image Processing · 1987 · 303 citations

Arts, Computer Science, Computer Graphics +6

Making machine learning models interpretable

Alfredo Vellido, José D. Martín‐Guerrero, Paulo Lisböa · 2012 · 231 citations

Computing, Computer Science, Artificial Intelligence +16

A survey of surveys on the use of visualization for interpreting machine learning models

Angelos Chatzimparmpas, Rafael M. Martins, Ilir Jusufi et al. · Information Visualization · 2020 · 151 citations · Full text

Computing, Computer Science, Visualization +10

Machine-learning interpretability techniques for seismic performance assessment of infrastructure systems

Sujith Mangalathu, Karthika Karthikeyan, De‐Cheng Feng et al. · Engineering Structures · 2021 · 149 citations

Engineering, Civil Engineering, Data Science +16

1–5 of 69

Authors

269

LB
Laís Baroni
Federal Center for Technological Education of Minas Gerais, Brazil
2 publications · 54 citations
2
h-index
DC
Daniel Civitarese
IBM Research - Brazil, Brazil
2 publications · 54 citations
2
h-index
DS
Daniela Szwarcman
IBM Research - Brazil, Brazil
2 publications · 54 citations
2
h-index
VJ
Vikram Jayaram
University of Oklahoma, United States
2 publications · 65 citations
2
h-index
DD
Deepak Devegowda
University of Oklahoma, United States
2 publications · 65 citations
2
h-index

1–5 of 269

Institutions

106

1–8 of 106

Venues

arXiv (Cornell University)
Repository · 5 publications · 165 citations
5
h-index
Interpretation
2 publications · 33 citations
2
h-index
The Science of The Total Environment
2 publications · 58 citations
2
h-index
Structures
2 publications · 38 citations
2
h-index
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
2 publications · 37 citations
2
h-index

1–5