Graph-based approach for airborne light detection and ranging segmentation

Journal of Applied Remote Sensing

DOI: 10.1117/1.jrs.11.015020 Full text (OA) OpenAlex

Authors 0

Author list not loaded yet.

Cited by 7 stored of 1,755

The promise of machine learning in predicting treatment outcomes in psychiatry
2021 World Psychiatry article Computer Science Machine Learning in Healthcare Open access

524

citations
Cross-Validation and Uncertainty Determination for Randomized Neural Networks with Applications to Mobile Sensors
2021 arXiv (Cornell University) preprint Computer Science Machine Learning and ELM Open access

1

citations
Predicting Poor Outcome Before Endovascular Treatment in Patients With Acute Ischemic Stroke
2020 Frontiers in Neurology article Medicine Acute Ischemic Stroke Management Open access

45

citations
Generalized linear mixed-model (GLMM) trees: A flexible decision-tree method for multilevel and longitudinal data
2020 Psychotherapy Research article Mathematics Statistical Methods and Bayesian Inference Open access

91

citations
Predicting the naturalistic course in anxiety disorders using clinical and biological markers: a machine learning approach
2020 Psychological Medicine article Psychology Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes Open access

34

citations
Consistency of Extreme Learning Machines and Regression under Non-Stationarity and Dependence for ML-Enhanced Moving Objects
2020 arXiv (Cornell University) preprint Computer Science Machine Learning and ELM Open access

0

citations
Feasibility of activity-based expert profiling using text mining of scientific publications and patents
2020 Scientometrics article Decision Sciences scientometrics and bibliometrics research

7

citations

7 results

Graph-based approach for airborne light detection and ranging segmentation

Authors 0

Cited by 7 stored of 1,755

References 0