{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T18:46:02Z","timestamp":1763664362414,"version":"3.28.0"},"reference-count":34,"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\/ijcnn48605.2020.9206753","type":"proceedings-article","created":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T20:40:33Z","timestamp":1601412033000},"page":"1-10","source":"Crossref","is-referenced-by-count":9,"title":["Ontology-based Interpretable Machine Learning for Textual Data"],"prefix":"10.1109","author":[{"given":"Phung","family":"Lai","sequence":"first","affiliation":[]},{"given":"NhatHai","family":"Phan","sequence":"additional","affiliation":[]},{"given":"Han","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Anuja","family":"Badeti","sequence":"additional","affiliation":[]},{"given":"David","family":"Newman","sequence":"additional","affiliation":[]},{"given":"Dejing","family":"Dou","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","first-page":"71","article-title":"What does classifying more than 10,000 image categories tell us?","author":"deng","year":"2010","journal-title":"ECCV"},{"article-title":"ADAM: A method for stochastic optimization","year":"2014","author":"kingma","key":"ref32"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref30","article-title":"Computing numeric representations of words in a high-dimensional space","author":"mikolov","year":"2015","journal-title":"US Patent"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2006.04.051"},{"key":"ref10","article-title":"An ensemble deep learning model for drug abuse detection in sparse twitter-sphere","author":"hu","year":"2019","journal-title":"MEDINFO’19)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3054162"},{"article-title":"Example and feature importance-based explanations for black-box machine learning models","year":"2018","author":"adhikari","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330930"},{"article-title":"Semantic explanations of predictions","year":"2018","author":"freddy","key":"ref14"},{"key":"ref15","first-page":"2670","article-title":"Open information extraction from the web","volume":"7","author":"banko","year":"2007","journal-title":"IJCAI"},{"key":"ref16","first-page":"118","article-title":"Open information extraction using wikipedia","author":"wu","year":"2010","journal-title":"ACL"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v31i3.2305"},{"key":"ref18","first-page":"1535","article-title":"Identifying relations for open information extraction","author":"fader","year":"2011","journal-title":"EMNLP"},{"key":"ref19","first-page":"523","article-title":"Open language learning for information extraction","author":"schmitz","year":"2012","journal-title":"Proc EMNLP-IJCNLP"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0181142"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"ref27","first-page":"531","article-title":"Prescription drug abuse hits hospitals hard: Tighter federal steps aim to deflate crisis","volume":"38","author":"barlas","year":"2013","journal-title":"Pharmacology & Therapeutics"},{"article-title":"Explaining data-driven document classifications","year":"2013","author":"martens","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref29","first-page":"133","article-title":"Using TF-IDF to determine word relevance in document queries","volume":"242","author":"ramos","year":"2003","journal-title":"ICML"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.371"},{"article-title":"An ontology-based approach to explaining artificial neural networks","year":"2019","author":"confalonieri","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.08.038"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.670"},{"key":"ref9","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.11491","article-title":"Anchors: High-precision model-agnostic explanations","author":"ribeiro","year":"2018","journal-title":"AAAI"},{"key":"ref1","first-page":"589","article-title":"Explaining classifications for individual instances","volume":"20","author":"robnik","year":"2008","journal-title":"TKDE"},{"key":"ref20","first-page":"4765","article-title":"A unified approach to interpreting model predictions","author":"lundberg","year":"2017","journal-title":"NeurIPS"},{"article-title":"Gradients of counterfactuals","year":"2016","author":"sundararajan","key":"ref22"},{"key":"ref21","first-page":"3145","article-title":"Learning important features through propagating activation differences","author":"shrikumar","year":"2017","journal-title":"ICML"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0130140"},{"article-title":"Striving for simplicity: The all convolutional net","year":"2014","author":"springenberg","key":"ref23"},{"key":"ref26","first-page":"768","article-title":"Cluster analysis of multivariate data: efficiency versus interpretability of classifications","volume":"21","author":"forgy","year":"1965","journal-title":"Biometrics"},{"key":"ref25","first-page":"229","article-title":"The protégé owl plugin: An open development environment for semantic web applications","author":"knublauch","year":"2004","journal-title":"ISWC"}],"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\/09206753.pdf?arnumber=9206753","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T01:22:01Z","timestamp":1668993721000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9206753\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/ijcnn48605.2020.9206753","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}