Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "access_rights": "",
2
  "access_rights": "",
            
3
  "author": "Yassine Yaakoubi",
3
  "author": "Yassine Yaakoubi",
            
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.2105.11646",
7
  "defined_in": "https://doi.org/10.48550/arXiv.2105.11646",
            
8
  "doi": "10.57702/emchq9v2",
8
  "doi": "10.57702/emchq9v2",
            
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": "Fran\u00e7ois Soumis",
15
      "extra_author": "Fran\u00e7ois Soumis",
            
16
      "orcid": ""
16
      "orcid": ""
            
17
    },
17
    },
            
18
    {
18
    {
            
19
      "extra_author": "Simon Lacoste-Julien",
19
      "extra_author": "Simon Lacoste-Julien",
            
20
      "orcid": ""
20
      "orcid": ""
            
21
    }
21
    }
            
22
  ],
22
  ],
            
23
  "groups": [
23
  "groups": [
            
24
    {
24
    {
            
25
      "description": "",
25
      "description": "",
            
26
      "display_name": "Airline Crew Scheduling",
26
      "display_name": "Airline Crew Scheduling",
            
27
      "id": "4b95f84f-b313-4408-b716-9f2aee422803",
27
      "id": "4b95f84f-b313-4408-b716-9f2aee422803",
            
28
      "image_display_url": "",
28
      "image_display_url": "",
            
29
      "name": "airline-crew-scheduling",
29
      "name": "airline-crew-scheduling",
            
30
      "title": "Airline Crew Scheduling"
30
      "title": "Airline Crew Scheduling"
            
31
    },
31
    },
            
32
    {
32
    {
            
33
      "description": "",
33
      "description": "",
            
34
      "display_name": "Machine Learning",
34
      "display_name": "Machine Learning",
            
35
      "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a",
35
      "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a",
            
36
      "image_display_url": "",
36
      "image_display_url": "",
            
37
      "name": "machine-learning",
37
      "name": "machine-learning",
            
38
      "title": "Machine Learning"
38
      "title": "Machine Learning"
            
39
    }
39
    }
            
40
  ],
40
  ],
            
41
  "id": "626738da-0050-4041-afac-9c3cfaeef9bb",
41
  "id": "626738da-0050-4041-afac-9c3cfaeef9bb",
            
42
  "isopen": false,
42
  "isopen": false,
            
43
  "landing_page": "https://github.com/Yaakoubi/Struct-CKN",
43
  "landing_page": "https://github.com/Yaakoubi/Struct-CKN",
            
44
  "license_title": null,
44
  "license_title": null,
            
45
  "link_orkg": "",
45
  "link_orkg": "",
            
46
  "metadata_created": "2024-12-16T20:44:04.368799",
46
  "metadata_created": "2024-12-16T20:44:04.368799",
            
n
47
  "metadata_modified": "2024-12-16T20:44:04.368803",
n
47
  "metadata_modified": "2024-12-16T20:44:04.793567",
            
48
  "name": 
48
  "name": 
            
49
structured-convolutional-kernel-networks-for-airline-crew-scheduling",
49
structured-convolutional-kernel-networks-for-airline-crew-scheduling",
            
50
  "notes": "The Struct-CKN predictor is used to construct initial 
50
  "notes": "The Struct-CKN predictor is used to construct initial 
            
51
clusters and an initial solution for the Crew Pairing Problem (CPP) 
51
clusters and an initial solution for the Crew Pairing Problem (CPP) 
            
52
solver.",
52
solver.",
            
n
53
  "num_resources": 0,
n
53
  "num_resources": 1,
            
54
  "num_tags": 3,
54
  "num_tags": 3,
            
55
  "organization": {
55
  "organization": {
            
56
    "approval_status": "approved",
56
    "approval_status": "approved",
            
57
    "created": "2024-11-25T12:11:38.292601",
57
    "created": "2024-11-25T12:11:38.292601",
            
58
    "description": "",
58
    "description": "",
            
59
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
59
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
60
    "image_url": "",
60
    "image_url": "",
            
61
    "is_organization": true,
61
    "is_organization": true,
            
62
    "name": "no-organization",
62
    "name": "no-organization",
            
63
    "state": "active",
63
    "state": "active",
            
64
    "title": "No Organization",
64
    "title": "No Organization",
            
65
    "type": "organization"
65
    "type": "organization"
            
66
  },
66
  },
            
67
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
67
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
68
  "private": false,
68
  "private": false,
            
69
  "relationships_as_object": [],
69
  "relationships_as_object": [],
            
70
  "relationships_as_subject": [],
70
  "relationships_as_subject": [],
            
t
71
  "resources": [],
t
71
  "resources": [
            
72
    {
            
73
      "cache_last_updated": null,
            
74
      "cache_url": null,
            
75
      "created": "2024-12-16T18:25:46",
            
76
      "data": [
            
77
        "dcterms:title",
            
78
        "dcterms:accessRights",
            
79
        "dcterms:creator",
            
80
        "dcterms:description",
            
81
        "dcterms:issued",
            
82
        "dcterms:language",
            
83
        "dcterms:identifier",
            
84
        "dcat:theme",
            
85
        "dcterms:type",
            
86
        "dcat:keyword",
            
87
        "dcat:landingPage",
            
88
        "dcterms:hasVersion",
            
89
        "dcterms:format",
            
90
        "mls:task",
            
91
        "datacite:isDescribedBy"
            
92
      ],
            
93
      "description": "The json representation of the dataset with its 
            
94
distributions based on DCAT.",
            
95
      "format": "JSON",
            
96
      "hash": "",
            
97
      "id": "2887c0e3-da5f-4c9e-8bb1-61a6f520b782",
            
98
      "last_modified": "2024-12-16T20:44:04.786121",
            
99
      "metadata_modified": "2024-12-16T20:44:04.796374",
            
100
      "mimetype": "application/json",
            
101
      "mimetype_inner": null,
            
102
      "name": "Original Metadata",
            
103
      "package_id": "626738da-0050-4041-afac-9c3cfaeef9bb",
            
104
      "position": 0,
            
105
      "resource_type": null,
            
106
      "size": 830,
            
107
      "state": "active",
            
108
      "url": 
            
109
resource/2887c0e3-da5f-4c9e-8bb1-61a6f520b782/download/metadata.json",
            
110
      "url_type": "upload"
            
111
    }
            
112
  ],
            
72
  "services_used_list": "",
113
  "services_used_list": "",
            
73
  "state": "active",
114
  "state": "active",
            
74
  "tags": [
115
  "tags": [
            
75
    {
116
    {
            
76
      "display_name": "Airline Scheduling",
117
      "display_name": "Airline Scheduling",
            
77
      "id": "16556bca-61eb-4bdd-bc9a-ec429da80a3a",
118
      "id": "16556bca-61eb-4bdd-bc9a-ec429da80a3a",
            
78
      "name": "Airline Scheduling",
119
      "name": "Airline Scheduling",
            
79
      "state": "active",
120
      "state": "active",
            
80
      "vocabulary_id": null
121
      "vocabulary_id": null
            
81
    },
122
    },
            
82
    {
123
    {
            
83
      "display_name": "Crew Pairing Problem",
124
      "display_name": "Crew Pairing Problem",
            
84
      "id": "5879c22a-96b8-4aad-8790-6145142f8083",
125
      "id": "5879c22a-96b8-4aad-8790-6145142f8083",
            
85
      "name": "Crew Pairing Problem",
126
      "name": "Crew Pairing Problem",
            
86
      "state": "active",
127
      "state": "active",
            
87
      "vocabulary_id": null
128
      "vocabulary_id": null
            
88
    },
129
    },
            
89
    {
130
    {
            
90
      "display_name": "Machine Learning",
131
      "display_name": "Machine Learning",
            
91
      "id": "c4f3defc-ca48-45a9-9217-ce35bd3ed73c",
132
      "id": "c4f3defc-ca48-45a9-9217-ce35bd3ed73c",
            
92
      "name": "Machine Learning",
133
      "name": "Machine Learning",
            
93
      "state": "active",
134
      "state": "active",
            
94
      "vocabulary_id": null
135
      "vocabulary_id": null
            
95
    }
136
    }
            
96
  ],
137
  ],
            
97
  "title": "Structured Convolutional Kernel Networks for Airline Crew 
138
  "title": "Structured Convolutional Kernel Networks for Airline Crew 
            
98
Scheduling",
139
Scheduling",
            
99
  "type": "dataset",
140
  "type": "dataset",
            
100
  "version": ""
141
  "version": ""
            
101
}
142
}