Research graph
References from Beaufort-geometry ordinal learning for cross-domain sea-state image classification. Local targets link to admitted publications; unresolved targets remain external evidence.
XCiT: cross-covariance image transformers
2021 · External reference
Dlordinal: a Python package for deep ordinal classification
10.1016/j.neucom.2024.129305 · 2025 · External reference
Adapting performance metrics for ordinal classification to interval scale: length matters
10.1007/s10994-024-06654-4 · 2025 · External reference
Rank-consistent ordinal regression for neural networks with application to age estimation
10.1016/j.patrec.2020.11.008 · 2020 · External reference
Real-time significant wave height estimation from raw ocean images based on 2D and 3D deep neural networks
10.1016/j.oceaneng.2020.107129 · 2020 · External reference
Weighted kappa: nominal scale agreement provision for scaled disagreement or partial credit
10.1037/h0026256 · 1968 · External reference
Soft labels for ordinal regression
2019 · External reference
An image is worth 16×16 words: transformers for image recognition at scale
2021 · External reference
A scoring system for probability forecasts of ranked categories
10.1175/1520-0450(1969)008<0985:assfpf>2.0.co;2 · 1969 · External reference
Learning with a Wasserstein loss
2015 · External reference
In search of lost domain generalization
2021 · External reference
Deep residual learning for image recognition
2016 · External reference
Benchmarking neural network robustness to common corruptions and perturbations
2019 · External reference
Unresolved reference
2016 · External reference
Ocean wave classification and wave direction estimation from marine radar images
10.1016/j.oceaneng.2026.125096 · 2026 · External reference
Wave height classification via deep learning using monoscopic ocean videos
10.1016/j.oceaneng.2023.116002 · 2023 · External reference
WILDS: a benchmark of in-the-wild distribution shifts
2021 · External reference
On information and sufficiency
10.1214/aoms/1177729694 · 1951 · External reference
Significant wave height prediction from X-band marine radar images using deep learning with 3D convolutions
10.1371/journal.pone.0292884 · 2023 · External reference
Divergence measures based on the Shannon entropy
10.1109/18.61115 · 1991 · External reference
Focal loss for dense object detection
2017 · External reference
Swin transformer: hierarchical vision transformer using shifted windows
2021 · External reference
A ConvNet for the 2020s
2022 · External reference
Regression models for ordinal data
10.1111/j.2517-6161.1980.tb01109.x · 1980 · External reference
Automated real-time localized sea state estimation during navigation based on the Beaufort scale
10.1109/ojits.2025.3650057 · 2026 · External reference
Evaluation metrics and statistical tests for machine learning
10.1038/s41598-024-56706-x · 2024 · External reference
Distributionally robust neural networks for group shifts: on the importance of regularization for worst-case generalization
2020 · External reference
MobileNetV2: inverted residuals and linear bottlenecks
2018 · External reference
Convolutional neural network and optical flow for the assessment of wave and tide parameters from video analysis: LEUCOTEA, an innovative tool for coastal monitoring
10.3390/rs14132994 · 2022 · External reference
Deep neural networks for rank-consistent ordinal regression based on conditional probabilities
10.1007/s10044-023-01181-9 · 2023 · External reference
DeiT III: revenge of the ViT
2022 · External reference
A novel deep learning model for sea state classification using visual-range sea images
10.3390/sym14071487 · 2022 · External reference
Cumulative link models for deep ordinal classification
10.1016/j.neucom.2020.03.034 · 2020 · External reference
A computer vision approach to estimate the localized sea state
10.1016/j.oceaneng.2024.118318 · 2024 · External reference
Ordinal label distribution learning
2023 · External reference
Unresolved reference
2019 · External reference
On the nearshore significant wave height inversion from video images based on deep learning
10.3390/jmse12112003 · 2024 · External reference
Wave height estimation from X-band radar data using variational mode decomposition
2022 · External reference
SWHFormer: a vision transformer for significant wave height estimation from nautical radar images
2024 · External reference
Weighted kappa measures for ordinal multi-class classification performance
10.1016/j.asoc.2023.110020 · 2023 · External reference
Domain generalization: a survey
2023 · External reference
Deep neural networks for rank-consistent ordinal regression based on conditional probabilities
10.1007/s10044-023-01181-9 · ExternalCitation · doi-reference
Adapting performance metrics for ordinal classification to interval scale: length matters
10.1007/s10994-024-06654-4 · ExternalCitation · doi-reference
Weighted kappa measures for ordinal multi-class classification performance
10.1016/j.asoc.2023.110020 · ExternalCitation · doi-reference
Cumulative link models for deep ordinal classification
10.1016/j.neucom.2020.03.034 · ExternalCitation · doi-reference
Dlordinal: a Python package for deep ordinal classification
10.1016/j.neucom.2024.129305 · ExternalCitation · doi-reference
Real-time significant wave height estimation from raw ocean images based on 2D and 3D deep neural networks
10.1016/j.oceaneng.2020.107129 · ExternalCitation · doi-reference
Wave height classification via deep learning using monoscopic ocean videos
10.1016/j.oceaneng.2023.116002 · ExternalCitation · doi-reference
A computer vision approach to estimate the localized sea state
10.1016/j.oceaneng.2024.118318 · ExternalCitation · doi-reference
Ocean wave classification and wave direction estimation from marine radar images
10.1016/j.oceaneng.2026.125096 · ExternalCitation · doi-reference
Rank-consistent ordinal regression for neural networks with application to age estimation
10.1016/j.patrec.2020.11.008 · ExternalCitation · doi-reference
Weighted kappa: nominal scale agreement provision for scaled disagreement or partial credit
10.1037/h0026256 · ExternalCitation · doi-reference
Evaluation metrics and statistical tests for machine learning
10.1038/s41598-024-56706-x · ExternalCitation · doi-reference
Divergence measures based on the Shannon entropy
10.1109/18.61115 · ExternalCitation · doi-reference
Automated real-time localized sea state estimation during navigation based on the Beaufort scale
10.1109/ojits.2025.3650057 · ExternalCitation · doi-reference
Regression models for ordinal data
10.1111/j.2517-6161.1980.tb01109.x · ExternalCitation · doi-reference
A scoring system for probability forecasts of ranked categories
10.1175/1520-0450(1969)008<0985:assfpf>2.0.co;2 · ExternalCitation · doi-reference
On information and sufficiency
10.1214/aoms/1177729694 · ExternalCitation · doi-reference
Significant wave height prediction from X-band marine radar images using deep learning with 3D convolutions
10.1371/journal.pone.0292884 · ExternalCitation · doi-reference
On the nearshore significant wave height inversion from video images based on deep learning
10.3390/jmse12112003 · ExternalCitation · doi-reference
Convolutional neural network and optical flow for the assessment of wave and tide parameters from video analysis: LEUCOTEA, an innovative tool for coastal monitoring
10.3390/rs14132994 · ExternalCitation · doi-reference
A novel deep learning model for sea state classification using visual-range sea images
10.3390/sym14071487 · ExternalCitation · doi-reference
