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Diffstat (limited to 'site/datasets/citations/used.json')
| -rw-r--r-- | site/datasets/citations/used.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/used.json b/site/datasets/citations/used.json index 50d6d061..7ac23582 100644 --- a/site/datasets/citations/used.json +++ b/site/datasets/citations/used.json @@ -1 +1 @@ -{"id": "8627f019882b024aef92e4eb9355c499c733e5b7", "paper": {"paperId": "8627f019882b024aef92e4eb9355c499c733e5b7", "key": "used", "title": "USED: a large-scale social event detection dataset", "journal": "Unknown", "address": "University of Trento", "country": "Italy", "address_type": "edu", "lat": "46.06588360", "lng": "11.11598940", "pdf_link": null, "report_link": "papers/8627f019882b024aef92e4eb9355c499c733e5b7.html", "citation_count": 7, "citations_geocoded": 5, "citations_unknown": 2, "citations_empty": 0, "citations_pdf": 3, "citations_doi": 4, "name": "USED Social Event Dataset"}, "address": ["University of Trento", "University of Trento", "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "46.06588360", "11.11598940", "edu", "", "Italy"], "citations": [["Spatial Pyramid Convolutional Neural Network for Social Event Detection in Static Image", "", "Kumamoto University", "Kumamoto University", "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "32.81641780", "130.72703969", "edu", "", "Japan", "2016"], ["A pool of deep models for event recognition", "Department of Information Engineering and Computer Science, University of Trento, Italy", "University of Trento", "University of Trento", "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "46.06588360", "11.11598940", "edu", "", "Italy", "2017"], ["JORD: A System for Collecting Information and Monitoring Natural Disasters by Linking Social Media with Satellite Imagery", "University of Trento, Trento, Italy", "University of Trento", "University of Trento", "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "46.06588360", "11.11598940", "edu", "", "Italy", "2017"], ["A Comparative Study of Global and Deep Features for the Analysis of User-Generated Natural Disaster Related Images", "University of Trento, Italy", "University of Trento", "University of Trento", "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "46.06588360", "11.11598940", "edu", "", "Italy", "2018"], ["Ensemble of Deep Models for Event Recognition", "University of Trento, Italy, Via Sommarive, Trento (Italy)", "University of Trento", "University of Trento", "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "46.06588360", "11.11598940", "edu", "", "Italy", "2018"]]}
\ No newline at end of file +{"id": "8627f019882b024aef92e4eb9355c499c733e5b7", "paper": {"key": "used", "name": "USED Social Event Dataset", "title": "USED: a large-scale social event detection dataset", "year": "2016"}, "address": {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}, "citations": [{"id": "d1bca67dd26d719b3e7a51acecd7c54c7b78b34a", "title": "Spatial Pyramid Convolutional Neural Network for Social Event Detection in Static Image", "addresses": [{"name": "Kumamoto University", "source_name": "Kumamoto University", "street_adddress": "\u718a\u672c\u5927\u5b66\u9ed2\u9aea\u30ad\u30e3\u30f3\u30d1\u30b9, \u718a\u672c\u83ca\u967d\u7dda, \u4e2d\u592e\u533a, \u718a\u672c\u5e02, \u718a\u672c\u770c, \u4e5d\u5dde\u5730\u65b9, 860-0863, \u65e5\u672c", "lat": "32.81641780", "lng": "130.72703969", "type": "edu", "country": "Japan"}], "year": "2016", "pdf": ["https://arxiv.org/pdf/1612.04062.pdf"]}, {"id": "82dad0941a7cada11d2e2f2359293fe5fabf913f", "title": "A pool of deep models for event recognition", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": []}, {"id": "9d5ee493ee1b7955bbc71b13edc7f97efe53d743", "title": "JORD: A System for Collecting Information and Monitoring Natural Disasters by Linking Social Media with Satellite Imagery", "addresses": [{"name": "Simula Research Laboratory, Norway", "source_name": "Simula Research Laboratory, Norway", "street_adddress": "Martin Linges vei 25, 1364 Fornebu, Norway", "lat": "59.89486240", "lng": "10.62893450", "type": "edu", "country": "Norway"}, {"name": "Simula Research Laboratory, Oslo, Norway", "source_name": "Simula Research Laboratory, Oslo, Norway", "street_adddress": "Martin Linges vei 25, 1364 Fornebu, Norway", "lat": "59.89486240", "lng": "10.62893450", "type": "company", "country": "Norway"}, {"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2017", "pdf": []}, {"id": "821382c28f4a2f047adcbe7e7b55e947de8f6e97", "title": "A Comparative Study of Global and Deep Features for the Analysis of User-Generated Natural Disaster Related Images", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": []}, {"id": "4bf85ef995c684b841d0a5a002d175fadd922ff0", "title": "Ensemble of Deep Models for Event Recognition", "addresses": [{"name": "University of Trento", "source_name": "University of Trento", "street_adddress": "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "lat": "46.06588360", "lng": "11.11598940", "type": "edu", "country": "Italy"}], "year": "2018", "pdf": []}]}
\ No newline at end of file |
