Papers with Code 아카이브

Ordinal Classification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

1

보존된 평가 기록

1

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/EvALLTEAM/EvALLToolkit

공식 코드

An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results

https://github.com/aleixalcacer/ocfivd

공식 코드

Ordinal classification for interval-valued data and interval-valued functional data

https://github.com/andreanne-lemay/gray_zone_assessment

공식 코드

Improving the repeatability of deep learning models with Monte Carlo dropout

https://github.com/ayrna/decision-trees-from-scratch

공식 코드

Splitting criteria for ordinal decision trees: an experimental study

https://github.com/ayrna/deep-ordinal-clm

공식 코드

Cumulative link models for deep ordinal classification

https://github.com/ayrna/dlordinal

공식 코드

dlordinal: a Python package for deep ordinal classification

https://github.com/cfzd/ultra-fast-lane-detection-v2

공식 코드

Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification

https://github.com/egrooby-monash/heart-and-lung-signal-quality-estimation

공식 코드

Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications

https://github.com/gsnlyd/slicelabeler

공식 코드

Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating

https://github.com/jaygshah/Robust-Brain-Age-Prediction

공식 코드

Ordinal Classification with Distance Regularization for Robust Brain Age Prediction

https://github.com/moeinsorkhei/csaw-m_annotation_tool

공식 코드

CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer

https://github.com/msgun/weightedsiamese

공식 코드

Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images

https://github.com/raywang335/l2rclip

공식 코드

Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification

https://github.com/sbelharbi/Deep-Ordinal-Classification-with-Inequality-Constraints

공식 코드

Non-parametric Uni-modality Constraints for Deep Ordinal Classification

https://github.com/tenvence/cpl

공식 코드

Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning

https://github.com/ukplab/clpsych2025-questmf

공식 코드

Enhancing Depression Detection via Question-wise Modality Fusion

https://github.com/yueliukth/csaw-m

공식 코드

CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer

https://github.com/yx8njit/ordinal-conformal-risk-control

공식 코드

Conformal Risk Control for Ordinal Classification

https://github.com/EthanRosenthal/spacecutter

Cumulative link models for deep ordinal classification

https://github.com/JoegameZhou/Ultra-Fast-Lane-Detection

Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification

https://github.com/msd-irimas/multi_comparison_matrix

Convolutional and Deep Learning based techniques for Time Series Ordinal Classification

https://github.com/rasbt/deeplearning-models

A simple squared-error reformulation for ordinal classification

https://github.com/xk-huang/OrdinalCLIP

Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.