{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T19:25:34Z","timestamp":1742930734804,"version":"3.40.3"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031207129"},{"type":"electronic","value":"9783031207136"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-20713-6_6","type":"book-chapter","created":{"date-parts":[[2022,12,10]],"date-time":"2022-12-10T06:08:19Z","timestamp":1670652499000},"page":"77-90","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Explainable Interactive Projections for\u00a0Image Data"],"prefix":"10.1007","author":[{"given":"Huimin","family":"Han","sequence":"first","affiliation":[]},{"given":"Rebecca","family":"Faust","sequence":"additional","affiliation":[]},{"given":"Brian Felipe Keith","family":"Norambuena","sequence":"additional","affiliation":[]},{"given":"Ritvik","family":"Prabhu","sequence":"additional","affiliation":[]},{"given":"Timothy","family":"Smith","sequence":"additional","affiliation":[]},{"given":"Song","family":"Li","sequence":"additional","affiliation":[]},{"given":"Chris","family":"North","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,12,11]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Bian, Y., North, C.: DeepSI: interactive deep learning for semantic interaction. In: 26th International Conference on Intelligent User Interfaces, pp. 197\u2013207 (2021)","DOI":"10.1145\/3397481.3450670"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Bian, Y., North, C., Krokos, E., Joseph, S.: Semantic explanation of interactive dimensionality reduction. In: 2021 IEEE Visualization Conference (VIS), pp. 26\u201330. IEEE (2021)","DOI":"10.1109\/VIS49827.2021.9623322"},{"key":"6_CR3","doi-asserted-by":"crossref","unstructured":"Bian, Y., Wenskovitch, J., North, C.: DeepVA: bridging cognition and computation through semantic interaction and deep learning. arXiv preprint arXiv:2007.15800 (2020)","DOI":"10.1109\/MLUI52769.2019.10075565"},{"key":"6_CR4","unstructured":"Bojarski, M., et al.: VisualBackProp: efficient visualization of CNNs. arXiv preprint arXiv:1611.05418 (2016)"},{"key":"6_CR5","doi-asserted-by":"crossref","unstructured":"Brown, E.T., Liu, J., Brodley, C.E., Chang, R.: Dis-function: learning distance functions interactively. In: 2012 IEEE Conference on Visual Analytics Science and Technology, pp. 83\u201392. IEEE (2012)","DOI":"10.1109\/VAST.2012.6400486"},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Cavallo, M., Demiralp, \u00c7.: A visual interaction framework for dimensionality reduction based data exploration. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pp. 1\u201313 (2018)","DOI":"10.1145\/3173574.3174209"},{"issue":"3","key":"6_CR7","doi-asserted-by":"publisher","first-page":"4446","DOI":"10.1093\/mnras\/stab734","volume":"503","author":"TY Cheng","year":"2021","unstructured":"Cheng, T.Y., Huertas-Company, M., Conselice, C.J., Aragon-Salamanca, A., Robertson, B.E., Ramachandra, N.: Beyond the hubble sequence-exploring galaxy morphology with unsupervised machine learning. Mon. Not. R. Astron. Soc. 503(3), 4446\u20134465 (2021)","journal-title":"Mon. Not. R. Astron. Soc."},{"key":"6_CR8","series-title":"Cognitive Technologies","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1007\/978-3-540-75171-7_4","volume-title":"Machine Learning Techniques for Multimedia","author":"P Cunningham","year":"2008","unstructured":"Cunningham, P.: Dimension reduction. In: Cord, M., Cunningham, P. (eds.) Machine Learning Techniques for Multimedia. Cognitive Technologies, pp. 91\u2013112. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-75171-7_4"},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"Dowling, M., Wenskovitch, J., Hauck, P., Binford, A., Polys, N., North, C.: A bidirectional pipeline for semantic interaction. In: Proceedings of Workshop on Machine Learning from User Interaction for Visualization and Analytics (at IEEE VIS 2018), vol. 11, p. 74 (2018)","DOI":"10.1109\/MLUI52768.2018.10075562"},{"key":"6_CR10","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.bdr.2019.04.003","volume":"16","author":"M Dowling","year":"2019","unstructured":"Dowling, M., et al.: Interactive visual analytics for sensemaking with big text. Big Data Res. 16, 49\u201358 (2019)","journal-title":"Big Data Res."},{"issue":"10","key":"6_CR11","doi-asserted-by":"publisher","first-page":"923","DOI":"10.1007\/s00371-009-0368-7","volume":"25","author":"DM Eler","year":"2009","unstructured":"Eler, D.M., et al.: Visual analysis of image collections. Vis. Comput. 25(10), 923\u2013937 (2009)","journal-title":"Vis. Comput."},{"issue":"4","key":"6_CR12","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1109\/MCG.2015.91","volume":"35","author":"A Endert","year":"2015","unstructured":"Endert, A., Chang, R., North, C., Zhou, M.: Semantic interaction: coupling cognition and computation through usable interactive analytics. IEEE Comput. Graph. Appl. 35(4), 94\u201399 (2015)","journal-title":"IEEE Comput. Graph. Appl."},{"issue":"12","key":"6_CR13","doi-asserted-by":"publisher","first-page":"2879","DOI":"10.1109\/TVCG.2012.260","volume":"18","author":"A Endert","year":"2012","unstructured":"Endert, A., Fiaux, P., North, C.: Semantic interaction for sensemaking: inferring analytical reasoning for model steering. IEEE Trans. Visual Comput. Graph. 18(12), 2879\u20132888 (2012)","journal-title":"IEEE Trans. Visual Comput. Graph."},{"key":"6_CR14","doi-asserted-by":"publisher","unstructured":"Endert, A., Fiaux, P., North, C.: Semantic interaction for visual text analytics. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2012, pp. 473\u2013482. ACM, New York (2012). https:\/\/doi.org\/10.1145\/2207676.2207741","DOI":"10.1145\/2207676.2207741"},{"key":"6_CR15","doi-asserted-by":"crossref","unstructured":"Endert, A., Han, C., Maiti, D., House, L., North, C.: Observation-level interaction with statistical models for visual analytics. In: 2011 IEEE Conference on Visual Analytics Science and Technology, pp. 121\u2013130. IEEE (2011)","DOI":"10.1109\/VAST.2011.6102449"},{"key":"6_CR16","doi-asserted-by":"crossref","unstructured":"Espadoto, M., et al.: Unprojection: Leveraging inverse-projections for visual analytics of high-dimensional data. IEEE Trans. Vis. Comput. Graph. (2021)","DOI":"10.1109\/TVCG.2021.3125576"},{"issue":"1","key":"6_CR17","doi-asserted-by":"publisher","first-page":"758","DOI":"10.1109\/TVCG.2021.3114807","volume":"28","author":"T Fujiwara","year":"2022","unstructured":"Fujiwara, T., Wei, X., Zhao, J., Ma, K.L.: Interactive dimensionality reduction for comparative analysis. IEEE Trans. Visual Comput. Graph. 28(1), 758\u2013768 (2022). https:\/\/doi.org\/10.1109\/TVCG.2021.3114807","journal-title":"IEEE Trans. Visual Comput. Graph."},{"key":"6_CR18","series-title":"Studies in Big Data","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/978-3-030-75855-4_2","volume-title":"Deep Learning in Data Analytics","author":"SK Ghosh","year":"2022","unstructured":"Ghosh, S.K., Biswas, B., Ghosh, A.: A novel noise removal technique influenced by deep convolutional autoencoders on mammograms. In: Acharjya, D.P., Mitra, A., Zaman, N. (eds.) Deep Learning in Data Analytics. SBD, vol. 91, pp. 25\u201343. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-75855-4_2"},{"key":"6_CR19","doi-asserted-by":"crossref","unstructured":"Han, H., et al.: Interactive deep learning for exploratory sorting of plantimages by visual phenotypes (2022)","DOI":"10.1002\/essoar.10508768.2"},{"key":"6_CR20","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"issue":"1","key":"6_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/sam.11253","volume":"8","author":"L House","year":"2015","unstructured":"House, L., Leman, S., Han, C.: Bayesian visual analytics: BaVA. Stat. Anal. Data Min.: ASA Data Sci. J. 8(1), 1\u201313 (2015)","journal-title":"Stat. Anal. Data Min.: ASA Data Sci. J."},{"key":"6_CR22","doi-asserted-by":"crossref","unstructured":"Jeong, D.H., Ziemkiewicz, C., Fisher, B., Ribarsky, W., Chang, R.: iPCA: an interactive system for PCA-based visual analytics. In: Computer Graphics Forum, vol. 28, pp. 767\u2013774. Wiley Online Library (2009)","DOI":"10.1111\/j.1467-8659.2009.01475.x"},{"issue":"12","key":"6_CR23","doi-asserted-by":"publisher","first-page":"2563","DOI":"10.1109\/TVCG.2011.220","volume":"17","author":"P Joia","year":"2011","unstructured":"Joia, P., Coimbra, D., Cuminato, J.A., Paulovich, F.V., Nonato, L.G.: Local affine multidimensional projection. IEEE Trans. Visual Comput. Graph. 17(12), 2563\u20132571 (2011)","journal-title":"IEEE Trans. Visual Comput. Graph."},{"key":"6_CR24","doi-asserted-by":"crossref","unstructured":"Leman, S.C., House, L., Maiti, D., Endert, A., North, C.: Visual to parametric interaction (v2pi). PLoS One 8(3), e50474 (2013)","DOI":"10.1371\/journal.pone.0050474"},{"key":"6_CR25","doi-asserted-by":"crossref","unstructured":"Mamani, G.M., Fatore, F.M., Nonato, L.G., Paulovich, F.V.: User-driven feature space transformation. In: Computer Graphics Forum, vol. 32, pp. 291\u2013299. Wiley Online Library (2013)","DOI":"10.1111\/cgf.12116"},{"key":"6_CR26","doi-asserted-by":"crossref","unstructured":"Paulovich, F.V., Eler, D.M., Poco, J., Botha, C.P., Minghim, R., Nonato, L.G.: Piece wise Laplacian-based projection for interactive data exploration and organization. In: Computer Graphics Forum, vol. 30, pp. 1091\u20131100. Wiley Online Library (2011)","DOI":"10.1111\/j.1467-8659.2011.01958.x"},{"key":"6_CR27","unstructured":"Pirolli, P., Card, S.: The sensemaking process and leverage points for analyst technology as identified through cognitive task analysis. In: Proceedings of International Conference on Intelligence Analysis, McLean, VA, USA, vol. 5, pp. 2\u20134 (2005)"},{"key":"6_CR28","doi-asserted-by":"crossref","unstructured":"dos Santos Amorim, E.P., Brazil, E.V., Daniels, J., Joia, P., Nonato, L.G., Sousa, M.C.: iLAMP: exploring high-dimensional spacing through backward multidimensional projection. In: 2012 IEEE Conference on Visual Analytics Science and Technology, pp. 53\u201362. IEEE (2012)","DOI":"10.1109\/VAST.2012.6400489"},{"issue":"2","key":"6_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3158230","volume":"8","author":"JZ Self","year":"2018","unstructured":"Self, J.Z., Dowling, M., Wenskovitch, J., Crandell, I., Wang, M., House, L., Leman, S., North, C.: Observation-level and parametric interaction for high-dimensional data analysis. ACM Trans. Interact. Intell. Syst. (TiiS) 8(2), 1\u201336 (2018)","journal-title":"ACM Trans. Interact. Intell. Syst. (TiiS)"},{"key":"6_CR30","doi-asserted-by":"crossref","unstructured":"Selvaraju, R.R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., Batra, D.: Grad-CAM: visual explanations from deep networks via gradient-based localization. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 618\u2013626 (2017)","DOI":"10.1109\/ICCV.2017.74"},{"key":"6_CR31","doi-asserted-by":"crossref","unstructured":"Tukey, J.W., Wilk, M.B.: Data analysis and statistics: an expository overview. In: Proceedings of the 7\u201310 November 1966, Fall Joint Computer Conference, pp. 695\u2013709 (1966)","DOI":"10.1145\/1464291.1464366"},{"key":"6_CR32","unstructured":"Villaret, M., et al.: Affective state-based framework for e-learning systems. In: Artificial Intelligence Research and Development: Proceedings of the 23rd International Conference of the Catalan Association for Artificial Intelligence, vol. 339, p. 357. IOS Press (2021)"},{"issue":"2","key":"6_CR33","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.visinf.2021.03.002","volume":"5","author":"M Wang","year":"2021","unstructured":"Wang, M., Wenskovitch, J., House, L., Polys, N., North, C.: Bridging cognitive gaps between user and model in interactive dimension reduction. Visual Inform. 5(2), 13\u201325 (2021)","journal-title":"Visual Inform."},{"key":"6_CR34","unstructured":"Wenskovitch, J., North, C.: Interactive AI: designing for the \u2018two black boxes\u2019 problem. In: Hybrid Human-Artificial Intelligence Special Issue, pp. 1\u201310. IEEE Computer Society, Washington (2020)"},{"key":"6_CR35","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"818","DOI":"10.1007\/978-3-319-10590-1_53","volume-title":"Computer Vision \u2013 ECCV 2014","author":"MD Zeiler","year":"2014","unstructured":"Zeiler, M.D., Fergus, R.: Visualizing and understanding convolutional networks. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8689, pp. 818\u2013833. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10590-1_53"},{"key":"6_CR36","doi-asserted-by":"crossref","unstructured":"Zhou, B., Khosla, A., Lapedriza, A., Oliva, A., Torralba, A.: Learning deep features for discriminative localization. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2921\u20132929 (2016)","DOI":"10.1109\/CVPR.2016.319"}],"container-title":["Lecture Notes in Computer Science","Advances in Visual Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-20713-6_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,2]],"date-time":"2023-12-02T19:36:54Z","timestamp":1701545814000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-20713-6_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031207129","9783031207136"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-20713-6_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"11 December 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISVC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Visual Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"San Diego, CA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 October 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 October 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isvc2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.isvc.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"110","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"61","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"55% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2-3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}