{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:26:38Z","timestamp":1730265998643,"version":"3.28.0"},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1109\/ijcnn48605.2020.9206678","type":"proceedings-article","created":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T20:40:33Z","timestamp":1601412033000},"page":"1-8","source":"Crossref","is-referenced-by-count":5,"title":["DeepConsensus: Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction"],"prefix":"10.1109","author":[{"given":"Shaeke","family":"Salman","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seyedeh Neelufar","family":"Payrovnaziri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiuwen","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pablo","family":"Rengifo-Moreno","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhe","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref38","article-title":"Techniques for interpretable machine learning","author":"du","year":"2018","journal-title":"arXiv preprint arXiv 1808 00508"},{"key":"ref33","first-page":"307","article-title":"Clustered support vector machines","author":"gu","year":"2013","journal-title":"Artificial Intelligence and Statistics"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10103-018-2500-2"},{"key":"ref31","article-title":"Assessing the local interpretability of machine learning models","author":"friedler","year":"2019","journal-title":"arXiv preprint arXiv 1902 05023"},{"key":"ref30","article-title":"Evaluating explanation without ground truth in interpretable machine learning","author":"yang","year":"2019","journal-title":"arXiv preprint arXiv 1907 09977"},{"key":"ref37","first-page":"4765","article-title":"A unified approach to interpreting model predictions","author":"lundberg","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"ref35","first-page":"1885","article-title":"Understanding black-box predictions via influence functions","author":"koh","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning-Volume 70"},{"key":"ref34","first-page":"7786","article-title":"Towards robust interpretability with self-explaining neural networks","author":"melis","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref10","first-page":"559","article-title":"Interpretable machine learning in healthcare","author":"ahmad","year":"2018","journal-title":"Proceedings of the 2018 ACM International Conference on Bioinformatics Computational Biology and Health Informatics"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00920"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.i2139"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2870052"},{"key":"ref14","article-title":"Understanding deep learning requires rethinking generalization","volume":"abs 1611 3530","author":"zhang","year":"2016","journal-title":"CoRR"},{"key":"ref15","article-title":"Learning and generalization in overparameterized neural networks, going beyond two layers","volume":"abs 1811 4918","author":"allen-zhu","year":"2018","journal-title":"CoRR"},{"key":"ref16","article-title":"Towards understanding the role of over-parametrization in generalization of neural networks","author":"neyshabur","year":"2018","journal-title":"CoRR"},{"key":"ref17","article-title":"Towards understanding generalization of deep learning: Perspective of loss landscapes","volume":"abs 1706 10239","author":"wu","year":"2017","journal-title":"CoRR"},{"key":"ref18","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2014","journal-title":"arXiv preprint arXiv 1412 6572"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123430"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2016.05.049"},{"key":"ref27","first-page":"407","article-title":"Building computational models to predict one-year mortality in icu patients with acute myocardial infarction and post myocardial infarction syndrome","volume":"2019","author":"barrett","year":"2019","journal-title":"AMIA Summits on Translational Science Proceedings"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(16)30677-8"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2767063"},{"key":"ref29","article-title":"Towards a rigorous science of interpretable machine learning","author":"doshi-velez","year":"2017","journal-title":"arXiv preprint arXiv 1702 08608"},{"article-title":"Towards understanding generalization via analytical learning theory","year":"2018","author":"kawaguchi","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0202344"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2696365"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1093\/eurheartj\/ehs215"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0000000000000558"},{"key":"ref20","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009","journal-title":"Tech Rep"},{"key":"ref22","first-page":"arxiv:1704.01664","article-title":"The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification","author":"ju","year":"2017","journal-title":"ArXiv e-prints"},{"key":"ref21","article-title":"Overfitting mechanism and avoidance in deep neural networks","volume":"abs 1901 6566","author":"salman","year":"2019","journal-title":"CoRR"},{"key":"ref24","article-title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","author":"simonyan","year":"2013","journal-title":"arXiv preprint arXiv 1312 6034"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.97"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2016.35"},{"key":"ref25","first-page":"3319","article-title":"Axiomatic attribution for deep networks","author":"sundararajan","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning"}],"event":{"name":"2020 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2020,7,19]]},"location":"Glasgow, United Kingdom","end":{"date-parts":[[2020,7,24]]}},"container-title":["2020 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9200848\/9206590\/09206678.pdf?arnumber=9206678","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T17:56:10Z","timestamp":1656438970000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9206678\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/ijcnn48605.2020.9206678","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}