rebuild everything

1 files changed, 1 insertions, 1 deletions

diff --git a/site/datasets/citations/nudedetection.json b/site/datasets/citations/nudedetection.json
index 92b0f336..f35025e9 100644
--- a/site/datasets/citations/nudedetection.json
+++ b/site/datasets/citations/nudedetection.json
@@ -1 +1 @@
-{"id": "7ace44190729927e5cb0dd5d363fcae966fe13f7", "paper": {"paperId": "7ace44190729927e5cb0dd5d363fcae966fe13f7", "key": "nudedetection", "title": "A bag-of-features approach based on Hue-SIFT descriptor for nude detection", "journal": "2009 17th European Signal Processing Conference", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://ieeexplore.ieee.org/document/7077625/", "report_link": "papers/7ace44190729927e5cb0dd5d363fcae966fe13f7.html", "citation_count": 51, "citations_geocoded": 9, "citations_unknown": 42, "citations_empty": 1, "citations_pdf": 18, "citations_doi": 33, "name": "Nude Detection"}, "address": null, "citations": [["An Evaluation on Color Invariant Based Local Spatiotemporal Features for Action Recognition", "", "University of Campinas", "University of Campinas", "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "-27.59539950", "-48.61542180", "edu", "", 2012], ["Scalable misbehavior detection in online video chat services", "", "Georgia Institute of Technology", "Georgia Institute of Technology", "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "33.77603300", "-84.39884086", "edu", "", 2012], ["Pornography detection using BossaNova video descriptor", "", "University of Campinas", "University of Campinas", "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "-27.59539950", "-48.61542180", "edu", "", 2014], ["Adult Content Recognition from Images Using a Mixture of Convolutional Neural Networks", "", "Multimedia University", "Multimedia University", "Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia", "2.92749755", "101.64185301", "edu", "", 2016], ["Enhancing Music Information Retrieval by Incorporating Image-Based Local Features", "", "Tianjin University", "Tianjin University", "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "36.20304395", "117.05842113", "edu", "", 2012], ["Multi-modal fusion for flasher detection in a mobile video chat application", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", 2014], ["Adult Content Recognition from Images Using a Mixture of Convolutional Neural Networks", "", "Yonsei University", "Yonsei University", "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "37.56004060", "126.93692480", "edu", "", "2016"], ["User-generated Pornographic Video Detection Using Shot-based Sensor Pattern Noise", "", "Korea Advanced Institute of Science and Technology", "Korea Advanced Institute of Science and Technology", "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "36.36971910", "127.36253700", "edu", "", "2012"], ["Efficient misbehaving user detection in online video chat services", "", "Georgia Institute of Technology", "Georgia Institute of Technology", "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "33.77603300", "-84.39884086", "edu", "", 2012]]}
\ No newline at end of file
+{"id": "7ace44190729927e5cb0dd5d363fcae966fe13f7", "paper": {"paperId": "7ace44190729927e5cb0dd5d363fcae966fe13f7", "key": "nudedetection", "title": "A bag-of-features approach based on Hue-SIFT descriptor for nude detection", "journal": "2009 17th European Signal Processing Conference", "address": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "http://www.eurasip.org/Proceedings/Eusipco/Eusipco2009/contents/papers/1569191772.pdf", "report_link": "papers/7ace44190729927e5cb0dd5d363fcae966fe13f7.html", "citation_count": 51, "citations_geocoded": 28, "citations_unknown": 23, "citations_empty": 1, "citations_pdf": 18, "citations_doi": 33, "name": "Nude Detection"}, "address": null, "citations": [["An Evaluation on Color Invariant Based Local Spatiotemporal Features for Action Recognition", "", "University of Campinas", "University of Campinas", "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "-27.59539950", "-48.61542180", "edu", "", "2012"], ["Color pornographic image detection based on color-saliency preserved mixture deformable part model", "State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi\u2019an, China", "Xidian University", "Xidian University", "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "34.12358250", "108.83546000", "edu", "", "2017"], ["A deep learning approach for the forensic evaluation of sexual assault", "Institute of Forensic Medicine, University of Southern Denmark, Odense, Denmark", "University of Southern Denmark", "Institute of Forensic Medicine, University of Southern Denmark, Odense, Denmark", "Lucernemarken 20, 5260 Odense, Denmark", "55.37014060", "10.40006740", "edu", "", "2018"], ["Classifying objectionable images based on MPEG-7 visual descriptors and saliency detection", "Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea", "Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea", "Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea", "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "35.22537080", "126.84618340", "edu", "", "2014"], ["Scalable misbehavior detection in online video chat services", "", "Georgia Institute of Technology", "Georgia Institute of Technology", "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "33.77603300", "-84.39884086", "edu", "", "2012"], ["Objectionable video classification exploiting cascade classifier", "Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea", "Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea", "Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea", "1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea", "35.22537080", "126.84618340", "edu", "", "2014"], ["Pornographic images detection using High-Level Semantic features", "School of Computer Science & Engineering, Xi'an University of Technology, China", "China", "China", "China", "35.86166000", "104.19539700", "edu", "", "2011"], ["LDADEEP+: Latent aspect discovery with deep representations", "National Taiwan University, Taipei, Taiwan", "National Taiwan University", "National Taiwan University", "\u81fa\u5927;\u53f0\u5927, 1, \u7f85\u65af\u798f\u8def\u56db\u6bb5, \u5b78\u5e9c\u91cc, \u5927\u5b89\u5340, \u81fa\u5317\u5e02, 10617, \u81fa\u7063", "25.01682835", "121.53846924", "edu", "", "2016"], ["A survey on visual adult image recognition", "Augsburg University, Augsburg, Germany", "Augsburg University", "Augsburg University, Augsburg, Germany", "Universit\u00e4tsstra\u00dfe 2, 86159 Augsburg, Germany", "48.33282440", "10.89656160", "edu", "", "2012"], ["Pornography detection using BossaNova video descriptor", "", "University of Campinas", "University of Campinas", "USJ, 97, Rua S\u00edlvia Maria Fabro, Kobrasol, Campinas, S\u00e3o Jos\u00e9, Microrregi\u00e3o de Florian\u00f3polis, Mesorregi\u00e3o da Grande Florian\u00f3polis, SC, Regi\u00e3o Sul, 88102-130, Brasil", "-27.59539950", "-48.61542180", "edu", "", "2014"], ["A real-time system for detecting indecent videos based on spatiotemporal patterns", "School of Electrical Engineering, Korea University, 1, 5-ka, Anam-dong, Seongbuk-ku, Seoul 136-701, Korea", "Korea University", "Korea University", "\uace0\ub824\ub300, \uc548\uc554\ub85c, \uc81c\uae30\ub3d9, \ub3d9\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 02796, \ub300\ud55c\ubbfc\uad6d", "37.59014110", "127.03623180", "edu", "", "2014"], ["Obscene video detection using mutiple-classifier fusion", "Electronics and Telecommunications Research Institute, Daejeon, Korea", "Electronics and Telecommunications Research Institute, Daejeon, Korea", "Electronics and Telecommunications Research Institute, Daejeon, Korea", "Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea", "36.38376500", "127.36694000", "edu", "", "2015"], ["Smart Content Recognition from Images Using a Mixture of Convolutional Neural Networks", "", "Multimedia University", "Multimedia University", "Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia", "2.92749755", "101.64185301", "edu", "", "2016"], ["An one-class classification approach to detecting porn image", "Beijing University of Technology, Beijing, China", "Beijing University of Technology", "Beijing University of Technology", "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "39.87391435", "116.47722285", "edu", "", "2012"], ["Recognizing objectionable images using convolutional neural nets", "Shahrood University of technology, Shahrood, Iran", "Shahrood University of Technology", "Shahrood University of Technology, Shahrood, Iran", "\u0627\u0633\u062a\u0627\u0646 \u0633\u0645\u0646\u0627\u0646\u060c \u0634\u0627\u0647\u0631\u0648\u062f\u060c \u062e\u06cc\u0627\u0628\u0627\u0646 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u060c Iran", "36.39347730", "54.94178380", "edu", "", "2015"], ["Pornographic image classification based on top down color-saliency based BoW representation", "The State Key Laboratory of ISN, School of Electronic Engineering, Xidian University, Xi'an China", "Xidian University", "Xidian University", "Xidian University (New Campus), 266\u53f7, \u94f6\u674f\u5927\u9053, \u5357\u96f7\u6751, \u957f\u5b89\u533a (Chang'an), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710126, \u4e2d\u56fd", "34.12358250", "108.83546000", "edu", "", "2014"], ["Enhancing Music Information Retrieval by Incorporating Image-Based Local Features", "", "Tianjin University", "Tianjin University", "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "36.20304395", "117.05842113", "edu", "", "2012"], ["Pornographic image recognition by strongly-supervised deep multiple instance learning", "Department of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics", "Nanjing University", "Nanjing University", "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", "32.05659570", "118.77408833", "edu", "", "2016"], ["Recognition of adult images, videos, and web page bags", "University of Adelaide", "University of Adelaide", "University of Adelaide", "University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia", "-34.91892260", "138.60423668", "edu", "", "2011"], ["Multi-modal fusion for flasher detection in a mobile video chat application", "", "Microsoft", "Microsoft", "7021 S Memorial Dr, Tulsa, OK 74133, USA", "36.06303740", "-95.88099660", "edu", "", "2014"], ["Adult Content Recognition from Images Using a Mixture of Convolutional Neural Networks", "", "Yonsei University", "Yonsei University", "\uc5f0\uc138\ub300, \uc5f0\uc138\ub85c, \uc2e0\ucd0c\ub3d9, \ucc3d\ucc9c\ub3d9, \uc11c\ub300\ubb38\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 03789, \ub300\ud55c\ubbfc\uad6d", "37.56004060", "126.93692480", "edu", "", "2016"], ["The Mask-SIFT cascading classifier for pornography detection", "Department of Computer Science, Virginia Polytechnic Institute and State University, Falls Church, Virginia, USA", "Virginia Tech", "Virginia Polytechnic Institute and State University", "Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA", "37.21872455", "-80.42542519", "edu", "", "2012"], ["Adult content classification through deep convolution neural network", "Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia", "Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia", "Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia", "Bandung, Bandung City, West Java, Indonesia", "-6.91746390", "107.61912280", "edu", "", "2017"], ["User-generated Pornographic Video Detection Using Shot-based Sensor Pattern Noise", "", "Korea Advanced Institute of Science and Technology", "Korea Advanced Institute of Science and Technology", "\uce74\uc774\uc2a4\ud2b8, 291, \ub300\ud559\ub85c, \uc628\ucc9c2\ub3d9, \uc628\ucc9c\ub3d9, \uc720\uc131\uad6c, \ub300\uc804, 34141, \ub300\ud55c\ubbfc\uad6d", "36.36971910", "127.36253700", "edu", "", "2012"], ["Behavioral analysis and classification of spammers distributing pornographic content in social media", "Department of Computer Science and Engineering, PEC University of Technology, Chandigarh, India", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "2016"], ["Detection of obscene images and ejection of external devices", "Department of Computer Science, College of Engineering Munnar, Idukki, Kerala, India", "India", "India", "India", "20.59368400", "78.96288000", "edu", "", "2017"], ["Using a CNN ensemble for detecting pornographic and upskirt images", "Nanyang Technological University, Block N4, Nanyang Avenue, Singapore", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "2016"], ["Efficient misbehaving user detection in online video chat services", "", "Georgia Institute of Technology", "Georgia Institute of Technology", "Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA", "33.77603300", "-84.39884086", "edu", "", "2012"]]}
\ No newline at end of file