A neural network approach to ordinal regression

8 April 2007

Papers citing "A neural network approach to ordinal regression"

26 / 26 papers shown

Title
Leveraging LLMs to Evaluate Usefulness of Document Xingzhu Wang Erhan Zhang Yiqun Chen Jinghan Xuan Yucheng Hou Yitong Xu Ying Nie Shuaiqiang Wang Dawei Yin Jiaxin Mao 43 0 0 10 Jun 2025
Learning Ordinality in Semantic Segmentation Rafael Cristino Ricardo P. M. Cruz Jaime S. Cardoso 503 0 0 30 Jul 2024
Can Audio Reveal Music Performance Difficulty? Insights from the Piano Syllabus Dataset Pedro Ramoneda Minhee Lee Dasaem Jeong J. J. Valero-Mas Xavier Serra 468 1 0 06 Mar 2024
Unimodal Distributions for Ordinal Regression J. S. Cardoso Ricardo P. M. Cruz Tomé Albuquerque 514 2 0 08 Mar 2023
Interpretability in Convolutional Neural Networks for Building Damage Classification in Satellite Imagery Thomas Y. Chen 104 7 0 24 Jan 2022
Towards Relatable Explainable AI with the Perceptual Process Wencan Zhang Brian Y. Lim AAML XAI 87 65 0 28 Dec 2021
Daily peak electrical load forecasting with a multi-resolution approach Yvenn Amara-Ouali Matteo Fasiolo Y. Goude Hui Yan 30 20 0 08 Dec 2021
An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients Javier Barbero-Gómez Pedro Antonio Gutiérrez V. M. Vargas J. Vallejo-Casas César Hervás-Martinez 33 28 0 31 May 2021
Learning with Density Matrices and Random Features Fabio A. González Joseph A. Gallego-Mejia Santiago Toledo-Cortés Vladimir Vargas-Calderón 47 29 0 08 Feb 2021
Building LEGO Using Deep Generative Models of Graphs Rylee Thompson Elahe Ghalebi Terrance Devries Graham W. Taylor GAN AI4CE 76 20 0 21 Dec 2020
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities Uri Shaham Igal Zaidman Jonathan Svirsky OOD 47 7 0 15 Nov 2020
Deep and interpretable regression models for ordinal outcomes Lucas Kook L. Herzog Torsten Hothorn Oliver Durr Beate Sick 46 15 0 16 Oct 2020
Graph Convolutional Networks Reveal Neural Connections Encoding Prosthetic Sensation Vivek Subramanian Joshua Khani 20 0 0 23 Aug 2020
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction Beatrice van Amsterdam Matthew J. Clarkson Danail Stoyanov 96 39 0 10 Mar 2020
Deep Learning Approach to Diabetic Retinopathy Detection B. Tymchenko Philip Marchenko D. Spodarets 61 163 0 03 Mar 2020
Explainable Ordinal Factorization Model: Deciphering the Effects of Attributes by Piece-wise Linear Approximation Mengzhuo Guo Zhongzhi Xu Qingpeng Zhang Xiuwu Liao Jiapeng Liu 21 0 0 14 Nov 2019
Sex Trafficking Detection with Ordinal Regression Neural Networks Longshaokan Wang E. Laber Yeng Saanchi Sherrie Caltagirone 37 15 0 15 Aug 2019
Tackling Ordinal Regression Problem for Heterogeneous Data: Sparse and Deep Multi-Task Learning Approaches Lu Wang D. Zhu 32 9 0 29 Jul 2019
SDNet: Semantically Guided Depth Estimation Network M. Ochs Adrian Kretz Rudolf Mester MDE 128 42 0 24 Jul 2019
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models T. Vishnu Diksha Garg Pankaj Malhotra Lovekesh Vig Gautam M. Shroff UQCV 67 16 0 23 Mar 2019
Deep Distribution Regression Rui-Bing Li H. Bondell Brian J. Reich UQCV 68 33 0 14 Mar 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 101 123 0 29 Jan 2019
A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods D. Charte F. Charte S. García Francisco Herrera OffRL 48 34 0 29 Nov 2018
Unimodal probability distributions for deep ordinal classification Christopher Beckham C. Pal 391 76 0 15 May 2017
A simple squared-error reformulation for ordinal classification Christopher Beckham C. Pal 66 30 0 02 Dec 2016
Modeling Compositionality with Multiplicative Recurrent Neural Networks Ozan Irsoy Claire Cardie 66 28 0 20 Dec 2014