医学 AI - arXivDaily 专题

2006.00038 2020-06-02 cs.LG stat.ML 57%

Quasi-orthonormal Encoding for Machine Learning Applications

Haw-minn Lu

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments Accepted and submitted to 19th Python in Science Conference. (SciPy 2020)

2005.12951 2020-05-28 cs.HC cs.CV 57%

Gaze-based Autism Detection for Adolescents and Young Adults using Prosaic Videos

Karan Ahuja, Abhishek Bose, Mohit Jain, Kuntal Dey, Anil Joshi, Krishnaveni Achary, Blessin Varkey, Chris Harrison, Mayank Goel

专题命中诊断辅助：diagnosis(abstract)；分类 cs.CV

2005.12833 2020-05-27 cs.CL cs.LG cs.NE 57%

Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction

Laila Rasmy, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments L.R., X.Y., and Z.X. share first authorship of this work

2005.12734 2020-05-27 cs.CV 57%

Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels

Hieu H. Pham, Tung T. Le, Dat T. Ngo, Dat Q. Tran, Ha Q. Nguyen

专题命中诊断辅助：diagnosis(abstract)；分类 cs.CV

Comments MIDL 2020 Accepted Short Paper. arXiv admin note: substantial text overlap with arXiv:1911.06475

2005.12137 2020-05-26 cs.CY cs.LG 57%

The challenges of deploying artificial intelligence models in a rapidly evolving pandemic

Yipeng Hu, Joseph Jacob, Geoffrey JM Parker, David J Hawkes, John R Hurst, Danail Stoyanov

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments Accepted in Nature Machine Intelligence

2005.12055 2020-05-26 stat.ML cs.LG stat.AP 57%

Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data

Seyed Mostafa Kia, Hester Huijsdens, Richard Dinga, Thomas Wolfers, Maarten Mennes, Ole A. Andreassen, Lars T. Westlye, Christian F. Beckmann, Andre F. Marquand

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments To be published in MICCAI 2020 proceedings

1812.00715 2020-05-26 cs.LG stat.ML 57%

Care2Vec: A Deep learning approach for the classification of self-care problems in physically disabled children

Sayan Putatunda

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments 14 pages, 1 figure, submitted to a journal. Added References in the new version

Journal ref Putatunda, S. Care2Vec: a hybrid autoencoder-based approach for the classification of self-care problems in physically disabled children. Neural Comput & Applic (2020). https://doi.org/10.1007/s00521-020-04943-2

1811.04820 2020-05-19 cs.LG stat.ML 57%

Learning from positive and unlabeled data: a survey

Jessa Bekker, Jesse Davis

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments There was a typo in section 2.4. The fraction of labeled examples in the single-training-set scenario should be αc, and not αe(x) as was written in the previous version

Journal ref Machine Learning (2020) 1-42

2005.03243 2020-05-08 stat.AP eess.IV 57%

Classification of pediatric pneumonia using chest X-rays by functional regression

Md Nazmul Islam

专题命中诊断辅助：diagnosis(abstract)；分类 eess.IV

Comments 26 pages, 9 figures, 7 tables

2005.03086 2020-05-08 cs.CL cs.AI cs.CV 57%

Diagnosing the Environment Bias in Vision-and-Language Navigation

Yubo Zhang, Hao Tan, Mohit Bansal

专题命中诊断辅助：diagnosis(abstract)；分类 cs.CV

Comments IJCAI 2020 (9 pages; first two authors contributed equally)

2005.00582 2020-05-05 cs.AI cs.LG 57%

Learning to Complement Humans

Bryan Wilder, Eric Horvitz, Ece Kamar

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments Accepted at IJCAI 2020

1907.12508 2020-04-28 cs.LG stat.ML 57%

Tackling Ordinal Regression Problem for Heterogeneous Data: Sparse and Deep Multi-Task Learning Approaches

Lu Wang, Dongxiao Zhu

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments 21 pages, 3 figures

1908.08796 2020-04-27 cs.LG cs.AI 57%

Reinforcement Learning in Healthcare: A Survey

Chao Yu, Jiming Liu, Shamim Nemati

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

2004.09097 2020-04-21 eess.SP cs.SY eess.SY 57%

Three-layer Approach to Detect Anomalies in Industrial Environments based on Machine Learning

Daniel Gutierrez-Rojas, Mehar Ullah, Ioannis T. Christou, Gustavo Almeida, Pedro H. J. Nardelli, Dick Carrillo, Jean M. Sant'Ana, Hirley Alves, Merim Dzaferagic, Alessandro Chiumento, Charalampos Kalalas

专题命中诊断辅助：diagnosis(abstract)；分类 eess.SP

2004.07964 2020-04-20 cs.HC cs.LG 57%

Boxer: Interactive Comparison of Classifier Results

Michael Gleicher, Aditya Barve, Xinyi Yu, Florian Heimerl

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments accepted to Computer Graphic Forum (CGF) to be presented at Eurographics Conference on Visualization (EuroVis) 2020

2004.02988 2020-04-17 cs.LG cs.AI stat.ML 57%

Probabilistic Diagnostic Tests for Degradation Problems in Supervised Learning

Gustavo A. Valencia-Zapata, Carolina Gonzalez-Canas, Michael G. Zentner, Okan Ersoy, Gerhard Klimeck

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

2003.12808 2020-03-31 cs.LG cs.SE 57%

Towards Automating the AI Operations Lifecycle

Matthew Arnold, Jeffrey Boston, Michael Desmond, Evelyn Duesterwald, Benjamin Elder, Anupama Murthi, Jiri Navratil, Darrell Reimer

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

1805.05021 2020-03-27 stat.ML cs.LG 57%

A One-Class Classification Decision Tree Based on Kernel Density Estimation

Sarah Itani, Fabian Lecron, Philippe Fortemps

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Journal ref Applied Soft Computing, Vol. 91, June 2020, 106250

2003.07904 2020-03-25 cs.LG cs.CY stat.ML 57%

Generating Electronic Health Records with Multiple Data Types and Constraints

Chao Yan, Ziqi Zhang, Steve Nyemba, Bradley A. Malin

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

2003.06899 2020-03-17 cs.LG cs.SI stat.ML 57%

Adversarial Encoder-Multi-Task-Decoder for Multi-Stage Processes

Andre Mendes, Julian Togelius, Leandro dos Santos Coelho

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments 8 pages

2001.04958 2020-03-16 cs.CR cs.LG 57%

Differentially Private and Fair Classification via Calibrated Functional Mechanism

Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

2003.05070 2020-03-12 cs.LG stat.ML 57%

Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance

Ali Anaissi, Seid Miad Zandavi

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

2003.02261 2020-03-06 cs.LG stat.ML 57%

Deep Learning Approach to Diabetic Retinopathy Detection

Borys Tymchenko, Philip Marchenko, Dmitry Spodarets

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

2002.11152 2020-02-27 stat.ML cs.LG cs.NE 57%

Fundamental Issues Regarding Uncertainties in Artificial Neural Networks

Neil A. Thacker, Carole J. Twining, Paul D. Tar, Scott Notley, Visvanathan Ramesh

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments 21 pages, 8 Figures, 2 Tables. To be submitted to Pattern Recognition

2002.07791 2020-02-19 cs.LG cs.SI stat.ML 57%

A flexible outlier detector based on a topology given by graph communities

O. Ramos Terrades, A. Berenguel, D. Gil

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

1902.09432 2020-02-18 cs.LG stat.ML 57%

Scalable and Order-robust Continual Learning with Additive Parameter Decomposition

Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments Published in "International Conference on Learning Representation (ICLR)" 2020

2002.04374 2020-02-12 cs.LG cs.CL eess.AS stat.ML 57%

Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages

J. C. Vásquez-Correa, T. Arias-Vergara, C. D. Rios-Urrego, M. Schuster, J. Rusz, J. R. Orozco-Arroyave, E. Nöth

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Journal ref In Iberoamerican Congress on Pattern Recognition (pp. 697-706) 2019

2002.03298 2020-02-11 cs.LG stat.ML 57%

Learning High Order Feature Interactions with Fine Control Kernels

Hristo Paskov, Alex Paskov, Robert West

专题命中诊断辅助：biomedical(abstract)；分类 cs.LG

2001.08269 2020-01-24 cs.LG cs.NE stat.ML 57%

Representation Learning for Medical Data

Karol Antczak

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments 8 pages

2001.01891 2020-01-08 cs.AI cs.LG 57%

IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules

Bishwamittra Ghosh, Kuldeep S. Meel

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments 10 pages, published in the proceedings of AAAI/ACM Conference on AI, Ethics, and Society (AIES 2019)

Journal ref AIES-19: AAAI/ACM conference on Artificial Intelligence, Ethics, and SocietyAt: Honolulu, HI, United States, January 27-28, 2019

1. 诊断辅助 8283 篇

Quasi-orthonormal Encoding for Machine Learning Applications

Gaze-based Autism Detection for Adolescents and Young Adults using Prosaic Videos

Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction

Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels

The challenges of deploying artificial intelligence models in a rapidly evolving pandemic

Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data

Care2Vec: A Deep learning approach for the classification of self-care problems in physically disabled children

Learning from positive and unlabeled data: a survey

Classification of pediatric pneumonia using chest X-rays by functional regression

Diagnosing the Environment Bias in Vision-and-Language Navigation

Learning to Complement Humans

Tackling Ordinal Regression Problem for Heterogeneous Data: Sparse and Deep Multi-Task Learning Approaches

Reinforcement Learning in Healthcare: A Survey

Three-layer Approach to Detect Anomalies in Industrial Environments based on Machine Learning

Boxer: Interactive Comparison of Classifier Results

Probabilistic Diagnostic Tests for Degradation Problems in Supervised Learning

Towards Automating the AI Operations Lifecycle

A One-Class Classification Decision Tree Based on Kernel Density Estimation

Generating Electronic Health Records with Multiple Data Types and Constraints

Adversarial Encoder-Multi-Task-Decoder for Multi-Stage Processes

Differentially Private and Fair Classification via Calibrated Functional Mechanism

Multi-Objective Variational Autoencoder: an Application for Smart Infrastructure Maintenance

Deep Learning Approach to Diabetic Retinopathy Detection

Fundamental Issues Regarding Uncertainties in Artificial Neural Networks

A flexible outlier detector based on a topology given by graph communities

Scalable and Order-robust Continual Learning with Additive Parameter Decomposition

Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages

Learning High Order Feature Interactions with Fine Control Kernels

Representation Learning for Medical Data

IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules