Changes
On December 16, 2024 at 5:51:40 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Generative Adversarial Nets -
Changed value of field
doi_date_published
to2024-12-16
in Generative Adversarial Nets -
Added resource Original Metadata to Generative Adversarial Nets
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Ian Goodfellow", | 3 | "author": "Ian Goodfellow", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2110.03875", | 6 | "https://doi.org/10.48550/arXiv.2110.03875", | ||
7 | "https://doi.org/10.48550/arXiv.2210.12100", | 7 | "https://doi.org/10.48550/arXiv.2210.12100", | ||
8 | "https://doi.org/10.48550/arXiv.2303.13495" | 8 | "https://doi.org/10.48550/arXiv.2303.13495" | ||
9 | ], | 9 | ], | ||
10 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 10 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
11 | "defined_in": "https://doi.org/10.48550/arXiv.1811.11212", | 11 | "defined_in": "https://doi.org/10.48550/arXiv.1811.11212", | ||
12 | "doi": "10.57702/o0ovij16", | 12 | "doi": "10.57702/o0ovij16", | ||
n | 13 | "doi_date_published": null, | n | 13 | "doi_date_published": "2024-12-16", |
14 | "doi_publisher": "TIB", | 14 | "doi_publisher": "TIB", | ||
n | 15 | "doi_status": false, | n | 15 | "doi_status": true, |
16 | "domain": "https://service.tib.eu/ldmservice", | 16 | "domain": "https://service.tib.eu/ldmservice", | ||
17 | "extra_authors": [ | 17 | "extra_authors": [ | ||
18 | { | 18 | { | ||
19 | "extra_author": "Jean Pouget-Abadie", | 19 | "extra_author": "Jean Pouget-Abadie", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Mehdi Mirza", | 23 | "extra_author": "Mehdi Mirza", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Bing Xu", | 27 | "extra_author": "Bing Xu", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "extra_author": "David Warde-Farley", | 31 | "extra_author": "David Warde-Farley", | ||
32 | "orcid": "" | 32 | "orcid": "" | ||
33 | }, | 33 | }, | ||
34 | { | 34 | { | ||
35 | "extra_author": "Sherjil Ozair", | 35 | "extra_author": "Sherjil Ozair", | ||
36 | "orcid": "" | 36 | "orcid": "" | ||
37 | }, | 37 | }, | ||
38 | { | 38 | { | ||
39 | "extra_author": "Aaron Courville", | 39 | "extra_author": "Aaron Courville", | ||
40 | "orcid": "" | 40 | "orcid": "" | ||
41 | }, | 41 | }, | ||
42 | { | 42 | { | ||
43 | "extra_author": "Yoshua Bengio", | 43 | "extra_author": "Yoshua Bengio", | ||
44 | "orcid": "" | 44 | "orcid": "" | ||
45 | } | 45 | } | ||
46 | ], | 46 | ], | ||
47 | "groups": [ | 47 | "groups": [ | ||
48 | { | 48 | { | ||
49 | "description": "", | 49 | "description": "", | ||
50 | "display_name": "Data Augmentation", | 50 | "display_name": "Data Augmentation", | ||
51 | "id": "23ff74cb-7028-4236-aabd-414acf925725", | 51 | "id": "23ff74cb-7028-4236-aabd-414acf925725", | ||
52 | "image_display_url": "", | 52 | "image_display_url": "", | ||
53 | "name": "data-augmentation", | 53 | "name": "data-augmentation", | ||
54 | "title": "Data Augmentation" | 54 | "title": "Data Augmentation" | ||
55 | }, | 55 | }, | ||
56 | { | 56 | { | ||
57 | "description": "", | 57 | "description": "", | ||
58 | "display_name": "Generative Adversarial Networks", | 58 | "display_name": "Generative Adversarial Networks", | ||
59 | "id": "42559fef-c85e-4fb4-8ba0-c1af289545ce", | 59 | "id": "42559fef-c85e-4fb4-8ba0-c1af289545ce", | ||
60 | "image_display_url": "", | 60 | "image_display_url": "", | ||
61 | "name": "generative-adversarial-networks", | 61 | "name": "generative-adversarial-networks", | ||
62 | "title": "Generative Adversarial Networks" | 62 | "title": "Generative Adversarial Networks" | ||
63 | }, | 63 | }, | ||
64 | { | 64 | { | ||
65 | "description": "", | 65 | "description": "", | ||
66 | "display_name": "Generative Modeling", | 66 | "display_name": "Generative Modeling", | ||
67 | "id": "941575b4-5ac2-40b1-ab32-cde6a441999c", | 67 | "id": "941575b4-5ac2-40b1-ab32-cde6a441999c", | ||
68 | "image_display_url": "", | 68 | "image_display_url": "", | ||
69 | "name": "generative-modeling", | 69 | "name": "generative-modeling", | ||
70 | "title": "Generative Modeling" | 70 | "title": "Generative Modeling" | ||
71 | }, | 71 | }, | ||
72 | { | 72 | { | ||
73 | "description": "", | 73 | "description": "", | ||
74 | "display_name": "Image Classification", | 74 | "display_name": "Image Classification", | ||
75 | "id": "18b77292-26aa-4caf-89ed-cbd35fa60474", | 75 | "id": "18b77292-26aa-4caf-89ed-cbd35fa60474", | ||
76 | "image_display_url": "", | 76 | "image_display_url": "", | ||
77 | "name": "image-classification", | 77 | "name": "image-classification", | ||
78 | "title": "Image Classification" | 78 | "title": "Image Classification" | ||
79 | } | 79 | } | ||
80 | ], | 80 | ], | ||
81 | "id": "875dbd38-1194-453b-85bb-47cfefb4b5aa", | 81 | "id": "875dbd38-1194-453b-85bb-47cfefb4b5aa", | ||
82 | "isopen": false, | 82 | "isopen": false, | ||
83 | "landing_page": "https://arxiv.org/abs/1406.2661", | 83 | "landing_page": "https://arxiv.org/abs/1406.2661", | ||
84 | "license_title": null, | 84 | "license_title": null, | ||
85 | "link_orkg": "", | 85 | "link_orkg": "", | ||
86 | "metadata_created": "2024-12-16T17:51:39.194621", | 86 | "metadata_created": "2024-12-16T17:51:39.194621", | ||
n | 87 | "metadata_modified": "2024-12-16T17:51:39.194629", | n | 87 | "metadata_modified": "2024-12-16T17:51:39.574501", |
88 | "name": "generative-adversarial-nets", | 88 | "name": "generative-adversarial-nets", | ||
89 | "notes": "Generative adversarial nets (GANs) are a class of deep | 89 | "notes": "Generative adversarial nets (GANs) are a class of deep | ||
90 | learning models that consist of two neural networks: a generator and a | 90 | learning models that consist of two neural networks: a generator and a | ||
91 | discriminator.", | 91 | discriminator.", | ||
n | 92 | "num_resources": 0, | n | 92 | "num_resources": 1, |
93 | "num_tags": 8, | 93 | "num_tags": 8, | ||
94 | "organization": { | 94 | "organization": { | ||
95 | "approval_status": "approved", | 95 | "approval_status": "approved", | ||
96 | "created": "2024-11-25T12:11:38.292601", | 96 | "created": "2024-11-25T12:11:38.292601", | ||
97 | "description": "", | 97 | "description": "", | ||
98 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 98 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
99 | "image_url": "", | 99 | "image_url": "", | ||
100 | "is_organization": true, | 100 | "is_organization": true, | ||
101 | "name": "no-organization", | 101 | "name": "no-organization", | ||
102 | "state": "active", | 102 | "state": "active", | ||
103 | "title": "No Organization", | 103 | "title": "No Organization", | ||
104 | "type": "organization" | 104 | "type": "organization" | ||
105 | }, | 105 | }, | ||
106 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 106 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
107 | "private": false, | 107 | "private": false, | ||
108 | "relationships_as_object": [], | 108 | "relationships_as_object": [], | ||
109 | "relationships_as_subject": [], | 109 | "relationships_as_subject": [], | ||
t | 110 | "resources": [], | t | 110 | "resources": [ |
111 | { | ||||
112 | "cache_last_updated": null, | ||||
113 | "cache_url": null, | ||||
114 | "created": "2024-12-16T18:25:31", | ||||
115 | "data": [ | ||||
116 | "dcterms:title", | ||||
117 | "dcterms:accessRights", | ||||
118 | "dcterms:creator", | ||||
119 | "dcterms:description", | ||||
120 | "dcterms:issued", | ||||
121 | "dcterms:language", | ||||
122 | "dcterms:identifier", | ||||
123 | "dcat:theme", | ||||
124 | "dcterms:type", | ||||
125 | "dcat:keyword", | ||||
126 | "dcat:landingPage", | ||||
127 | "dcterms:hasVersion", | ||||
128 | "dcterms:format", | ||||
129 | "mls:task", | ||||
130 | "datacite:isDescribedBy" | ||||
131 | ], | ||||
132 | "description": "The json representation of the dataset with its | ||||
133 | distributions based on DCAT.", | ||||
134 | "format": "JSON", | ||||
135 | "hash": "", | ||||
136 | "id": "67f46839-7069-42a5-93f4-0b459979bbd4", | ||||
137 | "last_modified": "2024-12-16T17:51:39.566360", | ||||
138 | "metadata_modified": "2024-12-16T17:51:39.577621", | ||||
139 | "mimetype": "application/json", | ||||
140 | "mimetype_inner": null, | ||||
141 | "name": "Original Metadata", | ||||
142 | "package_id": "875dbd38-1194-453b-85bb-47cfefb4b5aa", | ||||
143 | "position": 0, | ||||
144 | "resource_type": null, | ||||
145 | "size": 1256, | ||||
146 | "state": "active", | ||||
147 | "url": | ||||
148 | resource/67f46839-7069-42a5-93f4-0b459979bbd4/download/metadata.json", | ||||
149 | "url_type": "upload" | ||||
150 | } | ||||
151 | ], | ||||
111 | "services_used_list": "", | 152 | "services_used_list": "", | ||
112 | "state": "active", | 153 | "state": "active", | ||
113 | "tags": [ | 154 | "tags": [ | ||
114 | { | 155 | { | ||
115 | "display_name": "CIFAR-10", | 156 | "display_name": "CIFAR-10", | ||
116 | "id": "f5393d47-2cf2-4e47-a699-68f41ec85846", | 157 | "id": "f5393d47-2cf2-4e47-a699-68f41ec85846", | ||
117 | "name": "CIFAR-10", | 158 | "name": "CIFAR-10", | ||
118 | "state": "active", | 159 | "state": "active", | ||
119 | "vocabulary_id": null | 160 | "vocabulary_id": null | ||
120 | }, | 161 | }, | ||
121 | { | 162 | { | ||
122 | "display_name": "CIFAR-100", | 163 | "display_name": "CIFAR-100", | ||
123 | "id": "6c1a57b4-460c-47e0-8fe2-d880f185689e", | 164 | "id": "6c1a57b4-460c-47e0-8fe2-d880f185689e", | ||
124 | "name": "CIFAR-100", | 165 | "name": "CIFAR-100", | ||
125 | "state": "active", | 166 | "state": "active", | ||
126 | "vocabulary_id": null | 167 | "vocabulary_id": null | ||
127 | }, | 168 | }, | ||
128 | { | 169 | { | ||
129 | "display_name": "Data Augmentation", | 170 | "display_name": "Data Augmentation", | ||
130 | "id": "9357b14b-40d7-4e6a-b7d8-fb3a9b710336", | 171 | "id": "9357b14b-40d7-4e6a-b7d8-fb3a9b710336", | ||
131 | "name": "Data Augmentation", | 172 | "name": "Data Augmentation", | ||
132 | "state": "active", | 173 | "state": "active", | ||
133 | "vocabulary_id": null | 174 | "vocabulary_id": null | ||
134 | }, | 175 | }, | ||
135 | { | 176 | { | ||
136 | "display_name": "GANs", | 177 | "display_name": "GANs", | ||
137 | "id": "ba92b867-41e4-435d-b0d6-285954f842d8", | 178 | "id": "ba92b867-41e4-435d-b0d6-285954f842d8", | ||
138 | "name": "GANs", | 179 | "name": "GANs", | ||
139 | "state": "active", | 180 | "state": "active", | ||
140 | "vocabulary_id": null | 181 | "vocabulary_id": null | ||
141 | }, | 182 | }, | ||
142 | { | 183 | { | ||
143 | "display_name": "Generative Adversarial Networks", | 184 | "display_name": "Generative Adversarial Networks", | ||
144 | "id": "b384af43-f86b-489d-a8d4-9595f25d6e95", | 185 | "id": "b384af43-f86b-489d-a8d4-9595f25d6e95", | ||
145 | "name": "Generative Adversarial Networks", | 186 | "name": "Generative Adversarial Networks", | ||
146 | "state": "active", | 187 | "state": "active", | ||
147 | "vocabulary_id": null | 188 | "vocabulary_id": null | ||
148 | }, | 189 | }, | ||
149 | { | 190 | { | ||
150 | "display_name": "Generative Modeling", | 191 | "display_name": "Generative Modeling", | ||
151 | "id": "cb951611-e951-47d8-8fed-b31d79d3cb48", | 192 | "id": "cb951611-e951-47d8-8fed-b31d79d3cb48", | ||
152 | "name": "Generative Modeling", | 193 | "name": "Generative Modeling", | ||
153 | "state": "active", | 194 | "state": "active", | ||
154 | "vocabulary_id": null | 195 | "vocabulary_id": null | ||
155 | }, | 196 | }, | ||
156 | { | 197 | { | ||
157 | "display_name": "Image Classification", | 198 | "display_name": "Image Classification", | ||
158 | "id": "418e2ddf-a1d3-42ac-ad05-156f79ca8e22", | 199 | "id": "418e2ddf-a1d3-42ac-ad05-156f79ca8e22", | ||
159 | "name": "Image Classification", | 200 | "name": "Image Classification", | ||
160 | "state": "active", | 201 | "state": "active", | ||
161 | "vocabulary_id": null | 202 | "vocabulary_id": null | ||
162 | }, | 203 | }, | ||
163 | { | 204 | { | ||
164 | "display_name": "deep learning", | 205 | "display_name": "deep learning", | ||
165 | "id": "19e41883-3799-4184-9e0e-26c95795b119", | 206 | "id": "19e41883-3799-4184-9e0e-26c95795b119", | ||
166 | "name": "deep learning", | 207 | "name": "deep learning", | ||
167 | "state": "active", | 208 | "state": "active", | ||
168 | "vocabulary_id": null | 209 | "vocabulary_id": null | ||
169 | } | 210 | } | ||
170 | ], | 211 | ], | ||
171 | "title": "Generative Adversarial Nets", | 212 | "title": "Generative Adversarial Nets", | ||
172 | "type": "dataset", | 213 | "type": "dataset", | ||
173 | "version": "" | 214 | "version": "" | ||
174 | } | 215 | } |