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A neural network approach to ordinal regression
IEEE World Congress on Computational Intelligence (WCCI), 2007
8 April 2007
Jianlin Cheng
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Papers citing
"A neural network approach to ordinal regression"
50 / 55 papers shown
Approximately Unimodal Likelihood Models for Ordinal Regression
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Comparator Loss: An Ordinal Contrastive Loss to Derive a Severity Score for Speech-based Health Monitoring
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Johnny Tam
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22 Sep 2025
Leveraging LLMs to Evaluate Usefulness of Document
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Erhan Zhang
Yiqun Chen
Jinghan Xuan
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Yitong Xu
Ying Nie
Shuaiqiang Wang
Dawei Yin
Jiaxin Mao
239
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0
10 Jun 2025
Towards Explainable and Interpretable Musical Difficulty Estimation: A Parameter-efficient Approach
International Society for Music Information Retrieval Conference (ISMIR), 2024
Pedro Ramoneda
V. Eremenko
Alexandre D'Hooge
Emilia Parada-Cabaleiro
Xavier Serra
465
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0
01 Aug 2024
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning
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Yuanyang Zhu
Zhi Wang
Yuanheng Zhu
Chunlin Chen
Dongbin Zhao
372
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01 Aug 2024
Learning Ordinality in Semantic Segmentation
Rafael Cristino
Ricardo P. M. Cruz
Jaime S. Cardoso
734
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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
174
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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
135
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07 Jun 2024
Proportion Estimation by Masked Learning from Label Proportion
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Kazuya Nishimura
Hiroaki Ito
Kazuhiro Terada
Akihiko Yoshizawa
Ryoma Bise
199
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
650
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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
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Daniel Truhn
270
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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
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E. Bernardes
D. Zezell
225
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0
23 Oct 2023
Predicting performance difficulty from piano sheet music images
International Society for Music Information Retrieval Conference (ISMIR), 2023
Yingwei Ma
J. J. Valero-Mas
Yu Jiang
Changjian Wang
523
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0
28 Sep 2023
Multi-Objective Decision Transformers for Offline Reinforcement Learning
Abdelghani Ghanem
P. Ciblat
Mounir Ghogho
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158
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31 Aug 2023
Combining piano performance dimensions for score difficulty classification
Expert systems with applications (ESWA), 2023
Pedro Ramoneda
Dasaem Jeong
V. Eremenko
Nazif Can Tamer
M. Miron
Xavier Serra
507
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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
383
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01 Jun 2023
Unimodal Distributions for Ordinal Regression
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
J. S. Cardoso
Ricardo P. M. Cruz
Tomé Albuquerque
732
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08 Mar 2023
Ordinal Regression for Difficulty Estimation of StepMania Levels
Billy Joe Franks
Benjamin Dinkelmann
Sophie Fellenz
Matthias Kirchler
212
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23 Jan 2023
Controllable speech synthesis by learning discrete phoneme-level prosodic representations
Speech Communication (Speech Commun.), 2022
Nikolaos Ellinas
Myrsini Christidou
Alexandra Vioni
June Sig Sung
Aimilios Chalamandaris
Pirros Tsiakoulis
P. Mastorocostas
146
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29 Nov 2022
Ordinal Regression via Binary Preference vs Simple Regression: Statistical and Experimental Perspectives
Bin Su
Shaoguang Mao
Frank Soong
Zhiyong Wu
94
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06 Jul 2022
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation
International Conference on Machine Learning (ICML), 2022
David Ireland
Giovanni Montana
GNN
143
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20 May 2022
Concept Graph Neural Networks for Surgical Video Understanding
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Yutong Ban
J. Eckhoff
Thomas M. Ward
Daniel A. Hashimoto
O. Meireles
Daniela Rus
Guy Rosman
NAI
231
30
0
27 Feb 2022
Continuously Generalized Ordinal Regression for Linear and Deep Models
SDM (SDM), 2022
Fred Lu
Francis Ferraro
Edward Raff
69
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14 Feb 2022
Interpretability in Convolutional Neural Networks for Building Damage Classification in Satellite Imagery
Thomas Y. Chen
184
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24 Jan 2022
Towards Relatable Explainable AI with the Perceptual Process
International Conference on Human Factors in Computing Systems (CHI), 2021
Wencan Zhang
Brian Y. Lim
AAML
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268
71
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28 Dec 2021
Daily peak electrical load forecasting with a multi-resolution approach
Yvenn Amara-Ouali
Matteo Fasiolo
Y. Goude
Hui Yan
129
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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
164
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02 Dec 2021
Advancing Autonomous Driving: DepthSense with Radar and Spatial Attention
IEEE Sensors Journal (IEEE Sens. J.), 2021
Muhamamd Ishfaq Hussain
Zubia Naz
M. Rafique
M. Jeon
MDE
251
11
0
11 Sep 2021
An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients
Expert systems with applications (ESWA), 2021
Javier Barbero-Gómez
Pedro Antonio Gutiérrez
V. M. Vargas
J. Vallejo-Casas
César Hervás-Martinez
159
29
0
31 May 2021
Pairwise Fairness for Ordinal Regression
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Matthäus Kleindessner
Samira Samadi
Muhammad Bilal Zafar
K. Kenthapadi
Chris Russell
FaML
234
11
0
07 May 2021
Learning with Density Matrices and Random Features
Quantum Machine Intelligence (QMI), 2021
Fabio A. González
Joseph A. Gallego-Mejia
Santiago Toledo-Cortés
Santiago Acevedo-Mancera
309
30
0
08 Feb 2021
Building LEGO Using Deep Generative Models of Graphs
Rylee Thompson
Elahe Ghalebi
Terrance Devries
Graham W. Taylor
GAN
AI4CE
157
22
0
21 Dec 2020
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities
Uri Shaham
Igal Zaidman
Jonathan Svirsky
OOD
217
8
0
15 Nov 2020
Deep and interpretable regression models for ordinal outcomes
Lucas Kook
L. Herzog
Torsten Hothorn
Oliver Durr
Beate Sick
430
15
0
16 Oct 2020
Graph Convolutional Networks Reveal Neural Connections Encoding Prosthetic Sensation
Vivek Subramanian
Joshua Khani
121
0
0
23 Aug 2020
Satellite-based Prediction of Forage Conditions for Livestock in Northern Kenya
Andrew Hobbs
S. Svetlichnaya
147
3
0
08 Apr 2020
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction
IEEE International Conference on Robotics and Automation (ICRA), 2020
Beatrice van Amsterdam
Matthew J. Clarkson
Danail Stoyanov
182
45
0
10 Mar 2020
Deep Learning Approach to Diabetic Retinopathy Detection
International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2020
B. Tymchenko
Philip Marchenko
D. Spodarets
147
179
0
03 Mar 2020
Robust Deep Ordinal Regression Under Label Noise
Asian Conference on Machine Learning (ACML), 2019
Bhanu Garg
Naresh Manwani
NoLa
199
12
0
07 Dec 2019
Non-parametric Uni-modality Constraints for Deep Ordinal Classification
Soufiane Belharbi
Ismail Ben Ayed
Luke McCaffrey
Mohammadhadi Shateri
600
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
130
0
0
14 Nov 2019
Deep Ordinal Regression for Pledge Specificity Prediction
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Shivashankar Subramanian
Trevor Cohn
Timothy Baldwin
166
9
0
31 Aug 2019
Sex Trafficking Detection with Ordinal Regression Neural Networks
Longshaokan Wang
E. Laber
Yeng Saanchi
Sherrie Caltagirone
207
15
0
15 Aug 2019
Tackling Ordinal Regression Problem for Heterogeneous Data: Sparse and Deep Multi-Task Learning Approaches
Data mining and knowledge discovery (DMKD), 2019
Lu Wang
D. Zhu
193
9
0
29 Jul 2019
SDNet: Semantically Guided Depth Estimation Network
German Conference on Pattern Recognition (DAGM), 2019
M. Ochs
Adrian Kretz
Rudolf Mester
MDE
274
47
0
24 Jul 2019
SylNet: An Adaptable End-to-End Syllable Count Estimator for Speech
IEEE Signal Processing Letters (SPL), 2019
Shreyas Seshadri
Okko Räsänen
75
11
0
24 Jun 2019
Modeling Acoustic-Prosodic Cues for Word Importance Prediction in Spoken Dialogues
Sushant Kafle
Cecilia Ovesdotter Alm
Matt Huenerfauth
96
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
249
19
0
23 Mar 2019
Deep Distribution Regression
Rui-Bing Li
H. Bondell
Brian J. Reich
UQCV
191
37
0
14 Mar 2019
Discretizing Continuous Action Space for On-Policy Optimization
AAAI Conference on Artificial Intelligence (AAAI), 2019
Yunhao Tang
Shipra Agrawal
OffRL
484
136
0
29 Jan 2019
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