Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "access_rights": "",
2
  "access_rights": "",
            
3
  "author": "Zhengwei Wang",
3
  "author": "Zhengwei Wang",
            
4
  "author_email": "",
4
  "author_email": "",
            
5
  "citation": [],
5
  "citation": [],
            
6
  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
6
  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
7
  "defined_in": "https://doi.org/10.48550/arXiv.2003.03193",
7
  "defined_in": "https://doi.org/10.48550/arXiv.2003.03193",
            
8
  "doi": "10.57702/5mcr9ucx",
8
  "doi": "10.57702/5mcr9ucx",
            
n
9
  "doi_date_published": null,
n
9
  "doi_date_published": "2024-12-16",
            
10
  "doi_publisher": "TIB",
10
  "doi_publisher": "TIB",
            
n
11
  "doi_status": false,
n
11
  "doi_status": true,
            
12
  "domain": "https://service.tib.eu/ldmservice",
12
  "domain": "https://service.tib.eu/ldmservice",
            
13
  "extra_authors": [
13
  "extra_authors": [
            
14
    {
14
    {
            
15
      "extra_author": "Qi She",
15
      "extra_author": "Qi She",
            
16
      "orcid": ""
16
      "orcid": ""
            
17
    },
17
    },
            
18
    {
18
    {
            
19
      "extra_author": "Alan F. Smeaton",
19
      "extra_author": "Alan F. Smeaton",
            
20
      "orcid": ""
20
      "orcid": ""
            
21
    },
21
    },
            
22
    {
22
    {
            
23
      "extra_author": "Tom\u00e1s E. Ward",
23
      "extra_author": "Tom\u00e1s E. Ward",
            
24
      "orcid": ""
24
      "orcid": ""
            
25
    },
25
    },
            
26
    {
26
    {
            
27
      "extra_author": "Graham Healy",
27
      "extra_author": "Graham Healy",
            
28
      "orcid": ""
28
      "orcid": ""
            
29
    }
29
    }
            
30
  ],
30
  ],
            
31
  "groups": [
31
  "groups": [
            
32
    {
32
    {
            
33
      "description": "",
33
      "description": "",
            
34
      "display_name": "Computer Vision",
34
      "display_name": "Computer Vision",
            
35
      "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25",
35
      "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25",
            
36
      "image_display_url": "",
36
      "image_display_url": "",
            
37
      "name": "computer-vision",
37
      "name": "computer-vision",
            
38
      "title": "Computer Vision"
38
      "title": "Computer Vision"
            
39
    },
39
    },
            
40
    {
40
    {
            
41
      "description": "",
41
      "description": "",
            
42
      "display_name": "Generative Adversarial Networks",
42
      "display_name": "Generative Adversarial Networks",
            
43
      "id": "42559fef-c85e-4fb4-8ba0-c1af289545ce",
43
      "id": "42559fef-c85e-4fb4-8ba0-c1af289545ce",
            
44
      "image_display_url": "",
44
      "image_display_url": "",
            
45
      "name": "generative-adversarial-networks",
45
      "name": "generative-adversarial-networks",
            
46
      "title": "Generative Adversarial Networks"
46
      "title": "Generative Adversarial Networks"
            
47
    }
47
    }
            
48
  ],
48
  ],
            
49
  "id": "9bc14ff5-edb5-47c1-be16-0823157eca6f",
49
  "id": "9bc14ff5-edb5-47c1-be16-0823157eca6f",
            
50
  "isopen": false,
50
  "isopen": false,
            
51
  "landing_page": "https://github.com/villawang/Neuro-AI-Interface",
51
  "landing_page": "https://github.com/villawang/Neuro-AI-Interface",
            
52
  "license_title": null,
52
  "license_title": null,
            
53
  "link_orkg": "",
53
  "link_orkg": "",
            
54
  "metadata_created": "2024-12-16T19:19:47.480208",
54
  "metadata_created": "2024-12-16T19:19:47.480208",
            
n
55
  "metadata_modified": "2024-12-16T19:19:47.480215",
n
55
  "metadata_modified": "2024-12-16T19:19:47.893061",
            
56
  "name": 
56
  "name": 
            
57
-a-neuro-ai-interface-for-evaluating-generative-adversarial-networks",
57
-a-neuro-ai-interface-for-evaluating-generative-adversarial-networks",
            
58
  "notes": "Generative adversarial networks (GANs) are increasingly 
58
  "notes": "Generative adversarial networks (GANs) are increasingly 
            
59
attracting attention in the computer vision, natural language 
59
attracting attention in the computer vision, natural language 
            
60
processing, speech synthesis and similar domains. However, evaluating 
60
processing, speech synthesis and similar domains. However, evaluating 
            
61
the performance of GANs is still an open and challenging problem.",
61
the performance of GANs is still an open and challenging problem.",
            
n
62
  "num_resources": 0,
n
62
  "num_resources": 1,
            
63
  "num_tags": 3,
63
  "num_tags": 3,
            
64
  "organization": {
64
  "organization": {
            
65
    "approval_status": "approved",
65
    "approval_status": "approved",
            
66
    "created": "2024-11-25T12:11:38.292601",
66
    "created": "2024-11-25T12:11:38.292601",
            
67
    "description": "",
67
    "description": "",
            
68
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
68
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
69
    "image_url": "",
69
    "image_url": "",
            
70
    "is_organization": true,
70
    "is_organization": true,
            
71
    "name": "no-organization",
71
    "name": "no-organization",
            
72
    "state": "active",
72
    "state": "active",
            
73
    "title": "No Organization",
73
    "title": "No Organization",
            
74
    "type": "organization"
74
    "type": "organization"
            
75
  },
75
  },
            
76
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
76
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
77
  "private": false,
77
  "private": false,
            
78
  "relationships_as_object": [],
78
  "relationships_as_object": [],
            
79
  "relationships_as_subject": [],
79
  "relationships_as_subject": [],
            
t
80
  "resources": [],
t
80
  "resources": [
            
81
    {
            
82
      "cache_last_updated": null,
            
83
      "cache_url": null,
            
84
      "created": "2024-12-16T18:25:40",
            
85
      "data": [
            
86
        "dcterms:title",
            
87
        "dcterms:accessRights",
            
88
        "dcterms:creator",
            
89
        "dcterms:description",
            
90
        "dcterms:issued",
            
91
        "dcterms:language",
            
92
        "dcterms:identifier",
            
93
        "dcat:theme",
            
94
        "dcterms:type",
            
95
        "dcat:keyword",
            
96
        "dcat:landingPage",
            
97
        "dcterms:hasVersion",
            
98
        "dcterms:format",
            
99
        "mls:task",
            
100
        "datacite:isDescribedBy"
            
101
      ],
            
102
      "description": "The json representation of the dataset with its 
            
103
distributions based on DCAT.",
            
104
      "format": "JSON",
            
105
      "hash": "",
            
106
      "id": "47538fea-f9c5-4593-a58f-eef25090f63b",
            
107
      "last_modified": "2024-12-16T19:19:47.885450",
            
108
      "metadata_modified": "2024-12-16T19:19:47.895977",
            
109
      "mimetype": "application/json",
            
110
      "mimetype_inner": null,
            
111
      "name": "Original Metadata",
            
112
      "package_id": "9bc14ff5-edb5-47c1-be16-0823157eca6f",
            
113
      "position": 0,
            
114
      "resource_type": null,
            
115
      "size": 1064,
            
116
      "state": "active",
            
117
      "url": 
            
118
resource/47538fea-f9c5-4593-a58f-eef25090f63b/download/metadata.json",
            
119
      "url_type": "upload"
            
120
    }
            
121
  ],
            
81
  "services_used_list": "",
122
  "services_used_list": "",
            
82
  "state": "active",
123
  "state": "active",
            
83
  "tags": [
124
  "tags": [
            
84
    {
125
    {
            
85
      "display_name": "Computer Vision",
126
      "display_name": "Computer Vision",
            
86
      "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e",
127
      "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e",
            
87
      "name": "Computer Vision",
128
      "name": "Computer Vision",
            
88
      "state": "active",
129
      "state": "active",
            
89
      "vocabulary_id": null
130
      "vocabulary_id": null
            
90
    },
131
    },
            
91
    {
132
    {
            
92
      "display_name": "GANs",
133
      "display_name": "GANs",
            
93
      "id": "ba92b867-41e4-435d-b0d6-285954f842d8",
134
      "id": "ba92b867-41e4-435d-b0d6-285954f842d8",
            
94
      "name": "GANs",
135
      "name": "GANs",
            
95
      "state": "active",
136
      "state": "active",
            
96
      "vocabulary_id": null
137
      "vocabulary_id": null
            
97
    },
138
    },
            
98
    {
139
    {
            
99
      "display_name": "Neural Interfaces",
140
      "display_name": "Neural Interfaces",
            
100
      "id": "762e4096-d056-47ec-a03c-a1c61eb43907",
141
      "id": "762e4096-d056-47ec-a03c-a1c61eb43907",
            
101
      "name": "Neural Interfaces",
142
      "name": "Neural Interfaces",
            
102
      "state": "active",
143
      "state": "active",
            
103
      "vocabulary_id": null
144
      "vocabulary_id": null
            
104
    }
145
    }
            
105
  ],
146
  ],
            
106
  "title": "Synthetic-Neuroscore: Using a neuro-AI interface for 
147
  "title": "Synthetic-Neuroscore: Using a neuro-AI interface for 
            
107
evaluating generative adversarial networks",
148
evaluating generative adversarial networks",
            
108
  "type": "dataset",
149
  "type": "dataset",
            
109
  "version": ""
150
  "version": ""
            
110
}
151
}