The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Decision trees and random forests
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Support Vector Machines (SVMs) [62] and Decision Trees (like Random Forests) [63] are effective in simpler passenger counting scenarios where image features, like colors or texture are extracted first and then classified.”
From A Review of Passenger Counting in Public Transport Concepts with Solution Proposal Based on Image Processing and Machine Learning (2024) · cites this paper as [63]
Citations
Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
Extraction decision and identification of treatment predictors in Class I malocclusions
Konstantonis, D., Anthopoulou, C., & Makou, M. (2013) · Progress in Orthodontics · doi:10.1186/2196-1042-14-47 · Cited by 95
The wisdom behind third molar extractions
Kandasamy, S., Rinchuse, D. J., & Rinchuse, D. (2009) · Australian Dental Journal · doi:10.1111/j.1834-7819.2009.01152.x · Cited by 74
Validation of machine learning algorithms
Burzykowski, T., Geubbelmans, M., Rousseau, A.-J., & Valkenborg, D. (2023) · American Journal of Orthodontics and Dentofacial Orthopedics · doi:10.1016/j.ajodo.2023.05.007 · Cited by 55
Self-citationValkenborg, D., Geubbelmans, M., Rousseau, A.-J., & Burzykowski, T. (2023) · American Journal of Orthodontics and Dentofacial Orthopedics · doi:10.1016/j.ajodo.2023.04.010 · Cited by 30
Self-citationIntroduction to machine learning
Burzykowski, T., Rousseau, A.-J., Geubbelmans, M., & Valkenborg, D. (2023) · American Journal of Orthodontics and Dentofacial Orthopedics · doi:10.1016/j.ajodo.2023.02.005 · Cited by 27
Self-citationArtificial neural networks and deep learning
Geubbelmans, M., Rousseau, A.-J., Burzykowski, T., & Valkenborg, D. (2024) · American Journal of Orthodontics and Dentofacial Orthopedics · doi:10.1016/j.ajodo.2023.11.003 · Cited by 22
Self-citationGeubbelmans, M., Rousseau, A.-J., Valkenborg, D., & Burzykowski, T. (2023) · American Journal of Orthodontics and Dentofacial Orthopedics · doi:10.1016/j.ajodo.2023.06.012 · Cited by 3
Self-citationRasmussen, C. M., & Viozzi, C. F. (2020) · Journal of Oral and Maxillofacial Surgery · doi:10.1016/j.joms.2020.02.029 · Cited by 2
Cited by
Sorted by citations
Chen, W., Yan, B., Xu, A., Mu, X., Zhou, X., Jiang, M., Wang, C., Li, R., Huang, J., & Dong, J. (2024) · Journal of Material Science and Technology · doi:10.1016/j.jmst.2024.05.024 · Cited by 37
Shen, M., Zhang, Y., Zhan, R., Du, T., Shen, P., Lu, X., Liu, S., Guo, R., & Shen, X. (2024) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2024.117570 · Cited by 26
Song, X., Tiek, D. M., Miki, S., Huang, T., Lu, M., Goenka, A., Iglesia, R. P., Yu, X., Wu, R., Walker, M. N., et al. (2024) · Journal of Clinical Investigation · doi:10.1172/jci173789 · Cited by 25
Detection of Pear Quality Using Hyperspectral Imaging Technology and Machine Learning Analysis
Zhang, Z., Cheng, H., Chen, M., Zhang, L., Cheng, Y., Geng, W., & Guan, J. (2024) · Foods · doi:10.3390/foods13233956 · Cited by 23
Baalousha, H. M. (2025) · Groundwater for Sustainable Development · doi:10.1016/j.gsd.2025.101496 · Cited by 21
Metadata
- Authors
- Becker, T., Rousseau, A.-J., Geubbelmans, M., Burzykowski, T., & Valkenborg, D.
- Venue
- American Journal of Orthodontics and Dentofacial Orthopedics
- Publisher
- Elsevier BV
- Published
- 2023-12
- Volume
- 164
- Issue
- 6
- Pages
- 894-897
- ISSN
- 0889-5406 (ISSN-L)
- OpenAlex
- W4388989114
- Cited by
- 133
- References
- 9
- Citations by year
- 2026: 59 · 2025: 49 · 2024: 24 · 2023: 1
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Orthodontics and Dentofacial Orthopedics (publishedVersion)
- PubMed (publishedVersion)
- Document Server@UHasselt (UHasselt) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Keywords
- optical flow, self-attention, cross-attention, positional encoding, cost volume, correspondence estimation, low-texture regions, occlusion, scene flow, smooth L1 loss
- MeSH terms
- Random Forest, Decision Trees, Humans
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
