{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T21:12:56Z","timestamp":1754601176552,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T00:00:00Z","timestamp":1701216000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T00:00:00Z","timestamp":1701216000000},"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":[[2023,11,29]]},"DOI":"10.1109\/ivcnz61134.2023.10344195","type":"proceedings-article","created":{"date-parts":[[2023,12,12]],"date-time":"2023-12-12T18:41:58Z","timestamp":1702406518000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["NCAF: NTD-based Concept Activation Factorisation Framework for CNN Explainability"],"prefix":"10.1109","author":[{"given":"Ugochukwu Ejike","family":"Akpudo","sequence":"first","affiliation":[{"name":"Griffith University,School of Engineering and Built Environment,Australia"}]},{"given":"Xiaohan","family":"Yu","sequence":"additional","affiliation":[{"name":"Griffith University,Integrated and Intelligent Systems,Australia"}]},{"given":"Jun","family":"Zhou","sequence":"additional","affiliation":[{"name":"Griffith University,Integrated and Intelligent Systems,Australia"}]},{"given":"Yongsheng","family":"Gao","sequence":"additional","affiliation":[{"name":"Griffith University,School of Engineering and Built Environment,Australia"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICICICT54557.2022.9917583"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.109131"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20053-3_4"},{"key":"ref4","article-title":"Deep residual learning for image recognition","volume-title":"CoRR","author":"He","year":"2015"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"Simonyan","key":"ref6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.105111"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01228-7"},{"key":"ref10","article-title":"why should i trust you?","author":"Ribeiro","year":"2016","journal-title":"Explaining the predictions of any classifier"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.isci.2022.103933"},{"key":"ref12","article-title":"RISE: randomized input sampling for explanation of black-box models","author":"Petsiuk","year":"2018","journal-title":"CoRR"},{"article-title":"Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (TCAV)","volume-title":"International Conference on Machine Learning","author":"Kim","key":"ref13"},{"key":"ref14","article-title":"Towards automatic concept-based explanations","volume":"32","author":"Ghorbani","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i13.17389"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383405"},{"article-title":"Glance: Global to local architectureneutral concept-based explanations","year":"2022","author":"Kori","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01001"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00269"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01839"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00266"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3063676"},{"key":"ref24","article-title":"Uncovering audio patterns in music with nonnegative tucker decomposition for structural segmentation","author":"Marmoret","year":"2020","journal-title":"International Society for Music Information Retrieval Conference"},{"article-title":"Novel dataset for fine-grained image categorization","volume-title":"First Workshop on FineGrained Visual Categorization, IEEE Conference on Computer Vision and Pattern Recognition","author":"Khosla","key":"ref25"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1002\/aps3.11390"},{"article-title":"Concept-based explanations using nonnegative concept activation vectors and decision tree for cnn models","year":"2022","author":"Mutahar","key":"ref27"}],"event":{"name":"2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ)","start":{"date-parts":[[2023,11,29]]},"location":"Palmerston North, New Zealand","end":{"date-parts":[[2023,11,30]]}},"container-title":["2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10343468\/10343547\/10344195.pdf?arnumber=10344195","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,19]],"date-time":"2023-12-19T23:59:37Z","timestamp":1703030377000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10344195\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,29]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/ivcnz61134.2023.10344195","relation":{},"subject":[],"published":{"date-parts":[[2023,11,29]]}}}