A neural network approach to ordinal regression

8 April 2007

Papers citing "A neural network approach to ordinal regression"

50 / 55 papers shown

Title
Approximately Unimodal Likelihood Models for Ordinal Regression Ryoya Yamasaki 4 0 0 30 Sep 2025
Comparator Loss: An Ordinal Contrastive Loss to Derive a Severity Score for Speech-based Health Monitoring J. Webber O. Watts Lovisa Wihlborg David Wheatley Johnny Tam Christine Weaver Suvankar Pal Siddharthan Chandran Cassia Valentini-Botinhao 28 0 0 22 Sep 2025
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 143 0 0 10 Jun 2025
Towards Explainable and Interpretable Musical Difficulty Estimation: A Parameter-efficient Approach Pedro Ramoneda V. Eremenko Alexandre D'Hooge Emilia Parada-Cabaleiro Xavier Serra 416 2 0 01 Aug 2024
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning Yuanyang Zhu Zhi Wang Yuanheng Zhu Chunlin Chen Dongbin Zhao 184 2 0 01 Aug 2024
Learning Ordinality in Semantic Segmentation Rafael Cristino Ricardo P. M. Cruz Jaime S. Cardoso 660 0 0 30 Jul 2024
Improved Esophageal Varices Assessment from Non-Contrast CT Scans Chunli Li Xiaoming Zhang Yuan Gao Xiaoli Yin Le Lu Ling Zhang Ke Yan Yu Shi 111 2 0 18 Jul 2024
Nacala-Roof-Material: Drone Imagery for Roof Detection, Classification, and Segmentation to Support Mosquito-borne Disease Risk Assessment Venkanna Babu Guthula Stefan Oehmcke Remigio Chilaule Hui Zhang Nico Lang A. Kariryaa Johan Mottelson Christian Igel 103 0 0 07 Jun 2024
Proportion Estimation by Masked Learning from Label Proportion Takumi Okuo Kazuya Nishimura Hiroaki Ito Kazuhiro Terada Akihiko Yoshizawa Ryoma Bise 115 2 0 08 May 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 533 3 0 06 Mar 2024
An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs Patrick Wienholt Alexander Hermans Firas Khader B. Puladi Bastian Leibe Christiane Kuhl S. Nebelung Daniel Truhn 108 1 0 08 Feb 2024
Dual-path convolutional neural network using micro-FTIR imaging to predict breast cancer subtypes and biomarkers levels: estrogen receptor, progesterone receptor, HER2 and Ki67 Matheus del-Valle E. Bernardes D. Zezell 106 0 0 23 Oct 2023
Predicting performance difficulty from piano sheet music images Yingwei Ma J. J. Valero-Mas Yu Jiang Changjian Wang 420 3 0 28 Sep 2023
Multi-Objective Decision Transformers for Offline Reinforcement Learning Abdelghani Ghanem P. Ciblat Mounir Ghogho OffRL 89 1 0 31 Aug 2023
Combining piano performance dimensions for score difficulty classification Pedro Ramoneda Dasaem Jeong V. Eremenko Nazif Can Tamer M. Miron Xavier Serra 461 10 0 14 Jun 2023
Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks Ziliang Xiong Arvi Jonnarth Abdelrahman Eldesokey Joakim Johnander Bastian Wandt Per-Erik Forssén UQCV 193 3 0 01 Jun 2023
Unimodal Distributions for Ordinal Regression J. S. Cardoso Ricardo P. M. Cruz Tomé Albuquerque 606 3 0 08 Mar 2023
Ordinal Regression for Difficulty Estimation of StepMania Levels Billy Joe Franks Benjamin Dinkelmann Sophie Fellenz Matthias Kirchler 168 1 0 23 Jan 2023
Controllable speech synthesis by learning discrete phoneme-level prosodic representations Nikolaos Ellinas Myrsini Christidou Alexandra Vioni June Sig Sung Aimilios Chalamandaris Pirros Tsiakoulis P. Mastorocostas 110 7 0 29 Nov 2022
Ordinal Regression via Binary Preference vs Simple Regression: Statistical and Experimental Perspectives Bin Su Shaoguang Mao Frank Soong Zhiyong Wu 47 0 0 06 Jul 2022
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation David Ireland Giovanni Montana GNN 64 11 0 20 May 2022
Concept Graph Neural Networks for Surgical Video Understanding Yutong Ban J. Eckhoff Thomas M. Ward Daniel A. Hashimoto O. Meireles Daniela Rus Guy Rosman NAI 113 25 0 27 Feb 2022
Continuously Generalized Ordinal Regression for Linear and Deep Models Fred Lu Francis Ferraro Edward Raff 38 4 0 14 Feb 2022
Interpretability in Convolutional Neural Networks for Building Damage Classification in Satellite Imagery Thomas Y. Chen 154 8 0 24 Jan 2022
Towards Relatable Explainable AI with the Perceptual Process Wencan Zhang Brian Y. Lim AAML XAI 164 67 0 28 Dec 2021
Daily peak electrical load forecasting with a multi-resolution approach Yvenn Amara-Ouali Matteo Fasiolo Y. Goude Hui Yan 93 21 0 08 Dec 2021
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer Moein Sorkhei Yue Liu Hossein Azizpour E. Azavedo Karin Dembrower Dimitra Ntoula Athanasios Zouzos Fredrik Strand Kevin Smith 85 11 0 02 Dec 2021
RVMDE: Radar Validated Monocular Depth Estimation for Robotics Muhamamd Ishfaq Hussain M. Rafique M. Jeon MDE 162 11 0 11 Sep 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 117 28 0 31 May 2021
Pairwise Fairness for Ordinal Regression Matthäus Kleindessner Samira Samadi Muhammad Bilal Zafar K. Kenthapadi Chris Russell FaML 132 9 0 07 May 2021
Learning with Density Matrices and Random Features Fabio A. González Joseph A. Gallego-Mejia Santiago Toledo-Cortés Santiago Acevedo-Mancera 180 30 0 08 Feb 2021
Building LEGO Using Deep Generative Models of Graphs Rylee Thompson Elahe Ghalebi Terrance Devries Graham W. Taylor GAN AI4CE 117 21 0 21 Dec 2020
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities Uri Shaham Igal Zaidman Jonathan Svirsky OOD 121 8 0 15 Nov 2020
Deep and interpretable regression models for ordinal outcomes Lucas Kook L. Herzog Torsten Hothorn Oliver Durr Beate Sick 222 15 0 16 Oct 2020
Graph Convolutional Networks Reveal Neural Connections Encoding Prosthetic Sensation Vivek Subramanian Joshua Khani 78 0 0 23 Aug 2020
Satellite-based Prediction of Forage Conditions for Livestock in Northern Kenya Andrew Hobbs S. Svetlichnaya 67 3 0 08 Apr 2020
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction Beatrice van Amsterdam Matthew J. Clarkson Danail Stoyanov 142 40 0 10 Mar 2020
Deep Learning Approach to Diabetic Retinopathy DetectionInternational Conference on Pattern Recognition Applications and Methods (ICPRAM), 2025 B. Tymchenko Philip Marchenko D. Spodarets 89 168 0 03 Mar 2020
Robust Deep Ordinal Regression Under Label Noise Bhanu Garg Naresh Manwani NoLa 103 10 0 07 Dec 2019
Non-parametric Uni-modality Constraints for Deep Ordinal Classification Soufiane Belharbi Ismail Ben Ayed Luke McCaffrey Mohammadhadi Shateri 485 9 0 25 Nov 2019
Explainable Ordinal Factorization Model: Deciphering the Effects of Attributes by Piece-wise Linear Approximation Mengzhuo Guo Zhongzhi Xu Qingpeng Zhang Xiuwu Liao Jiapeng Liu 73 0 0 14 Nov 2019
Deep Ordinal Regression for Pledge Specificity Prediction Shivashankar Subramanian Trevor Cohn Timothy Baldwin 104 8 0 31 Aug 2019
Sex Trafficking Detection with Ordinal Regression Neural Networks Longshaokan Wang E. Laber Yeng Saanchi Sherrie Caltagirone 147 15 0 15 Aug 2019
Tackling Ordinal Regression Problem for Heterogeneous Data: Sparse and Deep Multi-Task Learning Approaches Lu Wang D. Zhu 99 9 0 29 Jul 2019
SDNet: Semantically Guided Depth Estimation Network M. Ochs Adrian Kretz Rudolf Mester MDE 190 42 0 24 Jul 2019
SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech Shreyas Seshadri Okko Räsänen 43 11 0 24 Jun 2019
Modeling Acoustic-Prosodic Cues for Word Importance Prediction in Spoken Dialogues Sushant Kafle Cecilia Ovesdotter Alm Matt Huenerfauth 48 3 0 28 Mar 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 173 18 0 23 Mar 2019
Deep Distribution Regression Rui-Bing Li H. Bondell Brian J. Reich UQCV 132 36 0 14 Mar 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 230 131 0 29 Jan 2019