Changes
On December 2, 2024 at 5:45:45 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in SimpleQuestion dataset for Wikidata -
Changed value of field
doi_date_published
to2024-12-02
in SimpleQuestion dataset for Wikidata -
Added resource Original Metadata to SimpleQuestion dataset for Wikidata
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Dennis Diefenbach", | 3 | "author": "Dennis Diefenbach", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.1605.08454", | 6 | "https://doi.org/10.48550/arXiv.1605.08454", | ||
7 | "https://doi.org/10.48550/arXiv.2205.12086", | 7 | "https://doi.org/10.48550/arXiv.2205.12086", | ||
8 | "https://doi.org/10.48550/arXiv.2208.04043", | 8 | "https://doi.org/10.48550/arXiv.2208.04043", | ||
9 | "https://doi.org/10.48550/arXiv.2404.09748", | 9 | "https://doi.org/10.48550/arXiv.2404.09748", | ||
10 | "https://doi.org/10.48550/arXiv.2309.15556", | 10 | "https://doi.org/10.48550/arXiv.2309.15556", | ||
11 | "https://doi.org/10.48550/arXiv.2108.06266", | 11 | "https://doi.org/10.48550/arXiv.2108.06266", | ||
12 | "https://doi.org/10.48550/arXiv.2407.00097", | 12 | "https://doi.org/10.48550/arXiv.2407.00097", | ||
13 | "https://doi.org/10.48550/arXiv.2104.07666", | 13 | "https://doi.org/10.48550/arXiv.2104.07666", | ||
14 | "https://doi.org/10.48550/arXiv.2301.03749", | 14 | "https://doi.org/10.48550/arXiv.2301.03749", | ||
15 | "https://doi.org/10.48550/arXiv.2406.10737", | 15 | "https://doi.org/10.48550/arXiv.2406.10737", | ||
16 | "https://doi.org/10.48550/arXiv.2103.13598", | 16 | "https://doi.org/10.48550/arXiv.2103.13598", | ||
17 | "https://doi.org/10.48550/arXiv.2008.02447", | 17 | "https://doi.org/10.48550/arXiv.2008.02447", | ||
18 | "https://doi.org/10.48550/arXiv.2106.12912", | 18 | "https://doi.org/10.48550/arXiv.2106.12912", | ||
19 | "https://doi.org/10.48550/arXiv.2404.18591", | 19 | "https://doi.org/10.48550/arXiv.2404.18591", | ||
20 | "https://doi.org/10.48550/arXiv.2110.04175", | 20 | "https://doi.org/10.48550/arXiv.2110.04175", | ||
21 | "https://doi.org/10.48550/arXiv.2207.05953", | 21 | "https://doi.org/10.48550/arXiv.2207.05953", | ||
22 | "https://doi.org/10.48550/arXiv.1912.03098", | 22 | "https://doi.org/10.48550/arXiv.1912.03098", | ||
23 | "https://doi.org/10.1145/3586183.3606786", | 23 | "https://doi.org/10.1145/3586183.3606786", | ||
24 | "https://doi.org/10.48550/arXiv.2009.08321", | 24 | "https://doi.org/10.48550/arXiv.2009.08321", | ||
25 | "https://doi.org/10.48550/arXiv.2406.18033", | 25 | "https://doi.org/10.48550/arXiv.2406.18033", | ||
26 | "https://doi.org/10.48550/arXiv.2303.01069", | 26 | "https://doi.org/10.48550/arXiv.2303.01069", | ||
27 | "https://doi.org/10.48550/arXiv.2301.11321", | 27 | "https://doi.org/10.48550/arXiv.2301.11321", | ||
28 | "https://doi.org/10.48550/arXiv.2210.15954", | 28 | "https://doi.org/10.48550/arXiv.2210.15954", | ||
29 | "https://doi.org/10.48550/arXiv.2303.15579", | 29 | "https://doi.org/10.48550/arXiv.2303.15579", | ||
30 | "https://doi.org/10.48550/arXiv.2407.12859", | 30 | "https://doi.org/10.48550/arXiv.2407.12859", | ||
31 | "https://doi.org/10.48550/arXiv.2110.12112", | 31 | "https://doi.org/10.48550/arXiv.2110.12112", | ||
32 | "https://doi.org/10.48550/arXiv.2311.18491", | 32 | "https://doi.org/10.48550/arXiv.2311.18491", | ||
33 | "https://doi.org/10.1007/s11263-018-01144-2", | 33 | "https://doi.org/10.1007/s11263-018-01144-2", | ||
34 | "https://doi.org/10.48550/arXiv.2103.02893", | 34 | "https://doi.org/10.48550/arXiv.2103.02893", | ||
35 | "https://doi.org/10.48550/arXiv.2208.09619", | 35 | "https://doi.org/10.48550/arXiv.2208.09619", | ||
36 | "https://doi.org/10.48550/arXiv.2305.00075", | 36 | "https://doi.org/10.48550/arXiv.2305.00075", | ||
37 | "https://doi.org/10.1145/3465403", | 37 | "https://doi.org/10.1145/3465403", | ||
38 | "https://doi.org/10.1103/PhysRevE.104.034109", | 38 | "https://doi.org/10.1103/PhysRevE.104.034109", | ||
39 | "https://doi.org/10.1145/3641543", | 39 | "https://doi.org/10.1145/3641543", | ||
40 | "https://doi.org/10.48550/arXiv.1905.12843", | 40 | "https://doi.org/10.48550/arXiv.1905.12843", | ||
41 | "https://doi.org/10.48550/arXiv.2302.03792", | 41 | "https://doi.org/10.48550/arXiv.2302.03792", | ||
42 | "https://doi.org/10.48550/arXiv.2303.10254", | 42 | "https://doi.org/10.48550/arXiv.2303.10254", | ||
43 | "https://doi.org/10.48550/arXiv.2208.14878", | 43 | "https://doi.org/10.48550/arXiv.2208.14878", | ||
44 | "https://doi.org/10.48550/arXiv.2001.11355", | 44 | "https://doi.org/10.48550/arXiv.2001.11355", | ||
45 | "https://doi.org/10.48550/arXiv.2310.16042", | 45 | "https://doi.org/10.48550/arXiv.2310.16042", | ||
46 | "https://doi.org/10.48550/arXiv.2109.11526", | 46 | "https://doi.org/10.48550/arXiv.2109.11526", | ||
47 | "https://doi.org/10.48550/arXiv.2106.11374", | 47 | "https://doi.org/10.48550/arXiv.2106.11374", | ||
48 | "https://doi.org/10.48550/arXiv.1912.00863", | 48 | "https://doi.org/10.48550/arXiv.1912.00863", | ||
49 | "https://doi.org/10.48550/arXiv.2402.00707", | 49 | "https://doi.org/10.48550/arXiv.2402.00707", | ||
50 | "https://doi.org/10.48550/arXiv.1301.2315", | 50 | "https://doi.org/10.48550/arXiv.1301.2315", | ||
51 | "https://doi.org/10.48550/arXiv.2110.03321", | 51 | "https://doi.org/10.48550/arXiv.2110.03321", | ||
52 | "https://doi.org/10.1145/3486611.3486660", | 52 | "https://doi.org/10.1145/3486611.3486660", | ||
53 | "https://doi.org/10.48550/arXiv.2406.02343", | 53 | "https://doi.org/10.48550/arXiv.2406.02343", | ||
54 | "https://doi.org/10.48550/arXiv.1704.04977", | 54 | "https://doi.org/10.48550/arXiv.1704.04977", | ||
55 | "https://doi.org/10.48550/arXiv.1905.10881", | 55 | "https://doi.org/10.48550/arXiv.1905.10881", | ||
56 | "https://doi.org/10.48550/arXiv.2211.10298", | 56 | "https://doi.org/10.48550/arXiv.2211.10298", | ||
57 | "https://doi.org/10.48550/arXiv.2009.09176", | 57 | "https://doi.org/10.48550/arXiv.2009.09176", | ||
58 | "https://doi.org/10.1021/acsphotonics.0c01774", | 58 | "https://doi.org/10.1021/acsphotonics.0c01774", | ||
59 | "https://doi.org/10.48550/arXiv.2205.14258", | 59 | "https://doi.org/10.48550/arXiv.2205.14258", | ||
60 | "https://doi.org/10.48550/arXiv.2403.11127", | 60 | "https://doi.org/10.48550/arXiv.2403.11127", | ||
61 | "https://doi.org/10.48550/arXiv.2205.13941", | 61 | "https://doi.org/10.48550/arXiv.2205.13941", | ||
62 | "https://doi.org/10.48550/arXiv.1906.09458", | 62 | "https://doi.org/10.48550/arXiv.1906.09458", | ||
63 | "https://doi.org/10.48550/arXiv.2004.09189", | 63 | "https://doi.org/10.48550/arXiv.2004.09189", | ||
64 | "https://doi.org/10.48550/arXiv.2101.04938", | 64 | "https://doi.org/10.48550/arXiv.2101.04938", | ||
65 | "https://doi.org/10.48550/arXiv.2407.14726", | 65 | "https://doi.org/10.48550/arXiv.2407.14726", | ||
66 | "https://doi.org/10.48550/arXiv.1502.01943", | 66 | "https://doi.org/10.48550/arXiv.1502.01943", | ||
67 | "https://doi.org/10.48550/arXiv.2212.10249", | 67 | "https://doi.org/10.48550/arXiv.2212.10249", | ||
68 | "https://doi.org/10.48550/arXiv.2305.17400", | 68 | "https://doi.org/10.48550/arXiv.2305.17400", | ||
69 | "https://doi.org/10.48550/arXiv.2204.02071", | 69 | "https://doi.org/10.48550/arXiv.2204.02071", | ||
70 | "https://doi.org/10.48550/arXiv.2403.17422", | 70 | "https://doi.org/10.48550/arXiv.2403.17422", | ||
71 | "https://doi.org/10.48550/arXiv.2305.07782", | 71 | "https://doi.org/10.48550/arXiv.2305.07782", | ||
72 | "https://doi.org/10.1109/ISSCS52333.2021.9497438", | 72 | "https://doi.org/10.1109/ISSCS52333.2021.9497438", | ||
73 | "https://doi.org/10.48550/arXiv.1511.02543", | 73 | "https://doi.org/10.48550/arXiv.1511.02543", | ||
74 | "https://doi.org/10.48550/arXiv.1903.08876", | 74 | "https://doi.org/10.48550/arXiv.1903.08876", | ||
75 | "https://doi.org/10.48550/arXiv.1611.03125", | 75 | "https://doi.org/10.48550/arXiv.1611.03125", | ||
76 | "https://doi.org/10.1007/s11042-023-15268-2", | 76 | "https://doi.org/10.1007/s11042-023-15268-2", | ||
77 | "https://doi.org/10.48550/arXiv.2208.11656", | 77 | "https://doi.org/10.48550/arXiv.2208.11656", | ||
78 | "https://doi.org/10.48550/arXiv.1907.11223", | 78 | "https://doi.org/10.48550/arXiv.1907.11223", | ||
79 | "https://doi.org/10.48550/arXiv.1503.02143", | 79 | "https://doi.org/10.48550/arXiv.1503.02143", | ||
80 | "https://doi.org/10.48550/arXiv.2407.14709", | 80 | "https://doi.org/10.48550/arXiv.2407.14709", | ||
81 | "https://doi.org/10.48550/arXiv.2006.05022", | 81 | "https://doi.org/10.48550/arXiv.2006.05022", | ||
82 | "https://doi.org/10.48550/arXiv.2005.13798", | 82 | "https://doi.org/10.48550/arXiv.2005.13798", | ||
83 | "https://doi.org/10.48550/arXiv.2110.07983", | 83 | "https://doi.org/10.48550/arXiv.2110.07983", | ||
84 | "https://doi.org/10.48550/arXiv.1611.02550", | 84 | "https://doi.org/10.48550/arXiv.1611.02550", | ||
85 | "https://doi.org/10.48550/arXiv.2302.09676", | 85 | "https://doi.org/10.48550/arXiv.2302.09676", | ||
86 | "https://doi.org/10.48550/arXiv.1702.07274", | 86 | "https://doi.org/10.48550/arXiv.1702.07274", | ||
87 | "https://doi.org/10.48550/arXiv.1904.06490", | 87 | "https://doi.org/10.48550/arXiv.1904.06490", | ||
88 | "https://doi.org/10.48550/arXiv.1410.0095", | 88 | "https://doi.org/10.48550/arXiv.1410.0095", | ||
89 | "https://doi.org/10.48550/arXiv.2406.00888", | 89 | "https://doi.org/10.48550/arXiv.2406.00888", | ||
90 | "https://doi.org/10.48550/arXiv.2003.13881", | 90 | "https://doi.org/10.48550/arXiv.2003.13881", | ||
91 | "https://doi.org/10.48550/arXiv.1906.00884", | 91 | "https://doi.org/10.48550/arXiv.1906.00884", | ||
92 | "https://doi.org/10.48550/arXiv.2402.14017", | 92 | "https://doi.org/10.48550/arXiv.2402.14017", | ||
93 | "https://doi.org/10.48550/arXiv.2304.01207", | 93 | "https://doi.org/10.48550/arXiv.2304.01207", | ||
94 | "https://doi.org/10.48550/arXiv.1512.08120", | 94 | "https://doi.org/10.48550/arXiv.1512.08120", | ||
95 | "https://doi.org/10.48550/arXiv.2407.09303", | 95 | "https://doi.org/10.48550/arXiv.2407.09303", | ||
96 | "https://doi.org/10.48550/arXiv.1812.00532", | 96 | "https://doi.org/10.48550/arXiv.1812.00532", | ||
97 | "https://doi.org/10.48550/arXiv.2201.02052", | 97 | "https://doi.org/10.48550/arXiv.2201.02052", | ||
98 | "https://doi.org/10.1109/ICMLA.2019.00202", | 98 | "https://doi.org/10.1109/ICMLA.2019.00202", | ||
99 | "https://doi.org/10.48550/arXiv.2011.10695", | 99 | "https://doi.org/10.48550/arXiv.2011.10695", | ||
100 | "https://doi.org/10.48550/arXiv.1809.07260", | 100 | "https://doi.org/10.48550/arXiv.1809.07260", | ||
101 | "https://doi.org/10.48550/arXiv.2103.02766", | 101 | "https://doi.org/10.48550/arXiv.2103.02766", | ||
102 | "https://doi.org/10.48550/arXiv.2311.00844", | 102 | "https://doi.org/10.48550/arXiv.2311.00844", | ||
103 | "https://doi.org/10.48550/arXiv.2103.12685", | 103 | "https://doi.org/10.48550/arXiv.2103.12685", | ||
104 | "https://doi.org/10.48550/arXiv.2405.07836", | 104 | "https://doi.org/10.48550/arXiv.2405.07836", | ||
105 | "https://doi.org/10.1038/s41467-022-33128-9", | 105 | "https://doi.org/10.1038/s41467-022-33128-9", | ||
106 | "https://doi.org/10.48550/arXiv.1810.04697", | 106 | "https://doi.org/10.48550/arXiv.1810.04697", | ||
107 | "https://doi.org/10.1109/IROS47612.2022.9982029", | 107 | "https://doi.org/10.1109/IROS47612.2022.9982029", | ||
108 | "https://doi.org/10.48550/arXiv.1503.01993", | 108 | "https://doi.org/10.48550/arXiv.1503.01993", | ||
109 | "https://doi.org/10.1016/j.neuroimage.2021.118464", | 109 | "https://doi.org/10.1016/j.neuroimage.2021.118464", | ||
110 | "https://doi.org/10.48550/arXiv.1911.04636", | 110 | "https://doi.org/10.48550/arXiv.1911.04636", | ||
111 | "https://doi.org/10.48550/arXiv.2203.06297", | 111 | "https://doi.org/10.48550/arXiv.2203.06297", | ||
112 | "https://doi.org/10.48550/arXiv.2212.04211", | 112 | "https://doi.org/10.48550/arXiv.2212.04211", | ||
113 | "https://doi.org/10.48550/arXiv.1902.03736", | 113 | "https://doi.org/10.48550/arXiv.1902.03736", | ||
114 | "https://doi.org/10.48550/arXiv.2105.08266", | 114 | "https://doi.org/10.48550/arXiv.2105.08266", | ||
115 | "https://doi.org/10.48550/arXiv.1611.05518", | 115 | "https://doi.org/10.48550/arXiv.1611.05518", | ||
116 | "https://doi.org/10.1007/978-3-031-73010-8_26", | 116 | "https://doi.org/10.1007/978-3-031-73010-8_26", | ||
117 | "https://doi.org/10.1080/01621459.2013.803972", | 117 | "https://doi.org/10.1080/01621459.2013.803972", | ||
118 | "https://doi.org/10.48550/arXiv.2006.10597", | 118 | "https://doi.org/10.48550/arXiv.2006.10597", | ||
119 | "https://doi.org/10.48550/arXiv.2211.13583", | 119 | "https://doi.org/10.48550/arXiv.2211.13583", | ||
120 | "https://doi.org/10.48550/arXiv.2402.05723", | 120 | "https://doi.org/10.48550/arXiv.2402.05723", | ||
121 | "https://doi.org/10.48550/arXiv.2110.05006", | 121 | "https://doi.org/10.48550/arXiv.2110.05006", | ||
122 | "https://doi.org/10.48550/arXiv.2209.13234", | 122 | "https://doi.org/10.48550/arXiv.2209.13234", | ||
123 | "https://doi.org/10.48550/arXiv.2404.04920", | 123 | "https://doi.org/10.48550/arXiv.2404.04920", | ||
124 | "https://doi.org/10.48550/arXiv.2310.02084", | 124 | "https://doi.org/10.48550/arXiv.2310.02084", | ||
125 | "https://doi.org/10.48550/arXiv.2311.15836", | 125 | "https://doi.org/10.48550/arXiv.2311.15836", | ||
126 | "https://doi.org/10.48550/arXiv.2010.05670", | 126 | "https://doi.org/10.48550/arXiv.2010.05670", | ||
127 | "https://doi.org/10.48550/arXiv.2312.06710", | 127 | "https://doi.org/10.48550/arXiv.2312.06710", | ||
128 | "https://doi.org/10.48550/arXiv.2003.14285", | 128 | "https://doi.org/10.48550/arXiv.2003.14285", | ||
129 | "https://doi.org/10.48550/arXiv.2312.17503", | 129 | "https://doi.org/10.48550/arXiv.2312.17503", | ||
130 | "https://doi.org/10.48550/arXiv.2010.07628", | 130 | "https://doi.org/10.48550/arXiv.2010.07628", | ||
131 | "https://doi.org/10.48550/arXiv.2407.07544", | 131 | "https://doi.org/10.48550/arXiv.2407.07544", | ||
132 | "https://doi.org/10.48550/arXiv.2002.03221", | 132 | "https://doi.org/10.48550/arXiv.2002.03221", | ||
133 | "https://doi.org/10.48550/arXiv.2404.14280", | 133 | "https://doi.org/10.48550/arXiv.2404.14280", | ||
134 | "https://doi.org/10.48550/arXiv.2302.07412", | 134 | "https://doi.org/10.48550/arXiv.2302.07412", | ||
135 | "https://doi.org/10.48550/arXiv.1406.4966", | 135 | "https://doi.org/10.48550/arXiv.1406.4966", | ||
136 | "https://doi.org/10.48550/arXiv.2305.08625", | 136 | "https://doi.org/10.48550/arXiv.2305.08625", | ||
137 | "https://doi.org/10.48550/arXiv.2303.03900", | 137 | "https://doi.org/10.48550/arXiv.2303.03900", | ||
138 | "https://doi.org/10.48550/arXiv.2206.00886", | 138 | "https://doi.org/10.48550/arXiv.2206.00886", | ||
139 | "https://doi.org/10.48550/arXiv.1810.00466", | 139 | "https://doi.org/10.48550/arXiv.1810.00466", | ||
140 | "https://doi.org/10.48550/arXiv.2111.04740", | 140 | "https://doi.org/10.48550/arXiv.2111.04740", | ||
141 | "https://doi.org/10.48550/arXiv.2404.12389", | 141 | "https://doi.org/10.48550/arXiv.2404.12389", | ||
142 | "https://doi.org/10.1017/S1351324922000407", | 142 | "https://doi.org/10.1017/S1351324922000407", | ||
143 | "https://doi.org/10.48550/arXiv.2306.02240", | 143 | "https://doi.org/10.48550/arXiv.2306.02240", | ||
144 | "https://doi.org/10.1145/3526113.3545702", | 144 | "https://doi.org/10.1145/3526113.3545702", | ||
145 | "https://doi.org/10.48550/arXiv.2106.07032", | 145 | "https://doi.org/10.48550/arXiv.2106.07032", | ||
146 | "https://doi.org/10.48550/arXiv.2201.04676", | 146 | "https://doi.org/10.48550/arXiv.2201.04676", | ||
147 | "https://doi.org/10.48550/arXiv.2104.10558", | 147 | "https://doi.org/10.48550/arXiv.2104.10558", | ||
148 | "https://doi.org/10.48550/arXiv.2207.01246", | 148 | "https://doi.org/10.48550/arXiv.2207.01246", | ||
149 | "https://doi.org/10.48550/arXiv.1905.03438", | 149 | "https://doi.org/10.48550/arXiv.1905.03438", | ||
150 | "https://doi.org/10.48550/arXiv.2111.02356", | 150 | "https://doi.org/10.48550/arXiv.2111.02356", | ||
151 | "https://doi.org/10.1109/TRO.2023.3324127", | 151 | "https://doi.org/10.1109/TRO.2023.3324127", | ||
152 | "https://doi.org/10.48550/arXiv.1910.12336", | 152 | "https://doi.org/10.48550/arXiv.1910.12336", | ||
153 | "https://doi.org/10.48550/arXiv.1911.13229", | 153 | "https://doi.org/10.48550/arXiv.1911.13229", | ||
154 | "https://doi.org/10.48550/arXiv.2406.08164", | 154 | "https://doi.org/10.48550/arXiv.2406.08164", | ||
155 | "https://doi.org/10.48550/arXiv.2010.12896", | 155 | "https://doi.org/10.48550/arXiv.2010.12896", | ||
156 | "https://doi.org/10.48550/arXiv.2405.17009", | 156 | "https://doi.org/10.48550/arXiv.2405.17009", | ||
157 | "https://doi.org/10.48550/arXiv.2210.11831", | 157 | "https://doi.org/10.48550/arXiv.2210.11831", | ||
158 | "https://doi.org/10.48550/arXiv.2003.00360", | 158 | "https://doi.org/10.48550/arXiv.2003.00360", | ||
159 | "https://doi.org/10.1016/j.newast.2020.101517", | 159 | "https://doi.org/10.1016/j.newast.2020.101517", | ||
160 | "https://doi.org/10.48550/arXiv.2405.12203", | 160 | "https://doi.org/10.48550/arXiv.2405.12203", | ||
161 | "https://doi.org/10.48550/arXiv.1402.4741", | 161 | "https://doi.org/10.48550/arXiv.1402.4741", | ||
162 | "https://doi.org/10.48550/arXiv.2402.09043", | 162 | "https://doi.org/10.48550/arXiv.2402.09043", | ||
163 | "https://doi.org/10.48550/arXiv.2301.01624", | 163 | "https://doi.org/10.48550/arXiv.2301.01624", | ||
164 | "https://doi.org/10.48550/arXiv.2405.16730", | 164 | "https://doi.org/10.48550/arXiv.2405.16730", | ||
165 | "https://doi.org/10.1007/978-3-030-61527-7_21", | 165 | "https://doi.org/10.1007/978-3-030-61527-7_21", | ||
166 | "https://doi.org/10.48550/arXiv.2210.15709", | 166 | "https://doi.org/10.48550/arXiv.2210.15709", | ||
167 | "https://doi.org/10.48550/arXiv.2004.06370", | 167 | "https://doi.org/10.48550/arXiv.2004.06370", | ||
168 | "https://doi.org/10.48550/arXiv.2006.13977", | 168 | "https://doi.org/10.48550/arXiv.2006.13977", | ||
169 | "https://doi.org/10.48550/arXiv.2002.09478", | 169 | "https://doi.org/10.48550/arXiv.2002.09478", | ||
170 | "https://doi.org/10.48550/arXiv.2405.12218", | 170 | "https://doi.org/10.48550/arXiv.2405.12218", | ||
171 | "https://doi.org/10.48550/arXiv.2110.13715", | 171 | "https://doi.org/10.48550/arXiv.2110.13715", | ||
172 | "https://doi.org/10.1145/3097983.3098039", | 172 | "https://doi.org/10.1145/3097983.3098039", | ||
173 | "https://doi.org/10.48550/arXiv.1707.02610", | 173 | "https://doi.org/10.48550/arXiv.1707.02610", | ||
174 | "https://doi.org/10.48550/arXiv.2406.14481", | 174 | "https://doi.org/10.48550/arXiv.2406.14481", | ||
175 | "https://doi.org/10.48550/arXiv.2402.02701", | 175 | "https://doi.org/10.48550/arXiv.2402.02701", | ||
176 | "https://doi.org/10.48550/arXiv.2403.12002", | 176 | "https://doi.org/10.48550/arXiv.2403.12002", | ||
177 | "https://doi.org/10.48550/arXiv.2311.16714", | 177 | "https://doi.org/10.48550/arXiv.2311.16714", | ||
178 | "https://doi.org/10.48550/arXiv.2311.00416", | 178 | "https://doi.org/10.48550/arXiv.2311.00416", | ||
179 | "https://doi.org/10.48550/arXiv.2306.00952", | 179 | "https://doi.org/10.48550/arXiv.2306.00952", | ||
180 | "https://doi.org/10.48550/arXiv.1802.04715", | 180 | "https://doi.org/10.48550/arXiv.1802.04715", | ||
181 | "https://doi.org/10.48550/arXiv.2010.12810", | 181 | "https://doi.org/10.48550/arXiv.2010.12810", | ||
182 | "https://doi.org/10.48550/arXiv.2406.04857", | 182 | "https://doi.org/10.48550/arXiv.2406.04857", | ||
183 | "https://doi.org/10.48550/arXiv.2111.05265", | 183 | "https://doi.org/10.48550/arXiv.2111.05265", | ||
184 | "https://doi.org/10.48550/arXiv.2303.05021", | 184 | "https://doi.org/10.48550/arXiv.2303.05021", | ||
185 | "https://doi.org/10.48550/arXiv.2301.11270", | 185 | "https://doi.org/10.48550/arXiv.2301.11270", | ||
186 | "https://doi.org/10.2168/LMCS-9(3:11)2013", | 186 | "https://doi.org/10.2168/LMCS-9(3:11)2013", | ||
187 | "https://doi.org/10.48550/arXiv.1510.05698", | 187 | "https://doi.org/10.48550/arXiv.1510.05698", | ||
188 | "https://doi.org/10.48550/arXiv.2111.02398", | 188 | "https://doi.org/10.48550/arXiv.2111.02398", | ||
189 | "https://doi.org/10.48550/arXiv.2012.04061", | 189 | "https://doi.org/10.48550/arXiv.2012.04061", | ||
190 | "https://doi.org/10.48550/arXiv.2302.13136", | 190 | "https://doi.org/10.48550/arXiv.2302.13136", | ||
191 | "https://doi.org/10.48550/arXiv.2105.12514", | 191 | "https://doi.org/10.48550/arXiv.2105.12514", | ||
192 | "https://doi.org/10.48550/arXiv.2303.04839", | 192 | "https://doi.org/10.48550/arXiv.2303.04839", | ||
193 | "https://doi.org/10.48550/arXiv.2407.01686", | 193 | "https://doi.org/10.48550/arXiv.2407.01686", | ||
194 | "https://doi.org/10.48550/arXiv.2402.01052", | 194 | "https://doi.org/10.48550/arXiv.2402.01052", | ||
195 | "https://doi.org/10.48550/arXiv.2307.12868", | 195 | "https://doi.org/10.48550/arXiv.2307.12868", | ||
196 | "https://doi.org/10.48550/arXiv.1608.01338", | 196 | "https://doi.org/10.48550/arXiv.1608.01338", | ||
197 | "https://doi.org/10.48550/arXiv.2104.04918", | 197 | "https://doi.org/10.48550/arXiv.2104.04918", | ||
198 | "https://doi.org/10.48550/arXiv.2004.11498", | 198 | "https://doi.org/10.48550/arXiv.2004.11498", | ||
199 | "https://doi.org/10.48550/arXiv.2103.06257", | 199 | "https://doi.org/10.48550/arXiv.2103.06257", | ||
200 | "https://doi.org/10.48550/arXiv.2309.12333", | 200 | "https://doi.org/10.48550/arXiv.2309.12333", | ||
201 | "https://doi.org/10.48550/arXiv.2403.13745", | 201 | "https://doi.org/10.48550/arXiv.2403.13745", | ||
202 | "https://doi.org/10.1007/s11042-018-7040-z", | 202 | "https://doi.org/10.1007/s11042-018-7040-z", | ||
203 | "https://doi.org/10.48550/arXiv.2107.07805", | 203 | "https://doi.org/10.48550/arXiv.2107.07805", | ||
204 | "https://doi.org/10.48550/arXiv.2010.11737", | 204 | "https://doi.org/10.48550/arXiv.2010.11737", | ||
205 | "https://doi.org/10.48550/arXiv.2009.09899", | 205 | "https://doi.org/10.48550/arXiv.2009.09899", | ||
206 | "https://doi.org/10.48550/arXiv.2105.12915", | 206 | "https://doi.org/10.48550/arXiv.2105.12915", | ||
207 | "https://doi.org/10.48550/arXiv.2207.04588", | 207 | "https://doi.org/10.48550/arXiv.2207.04588", | ||
208 | "https://doi.org/10.48550/arXiv.1505.07484", | 208 | "https://doi.org/10.48550/arXiv.1505.07484", | ||
209 | "https://doi.org/10.48550/arXiv.2206.08627", | 209 | "https://doi.org/10.48550/arXiv.2206.08627", | ||
210 | "https://doi.org/10.48550/arXiv.1712.00499", | 210 | "https://doi.org/10.48550/arXiv.1712.00499", | ||
211 | "https://doi.org/10.48550/arXiv.2310.19064", | 211 | "https://doi.org/10.48550/arXiv.2310.19064", | ||
212 | "https://doi.org/10.48550/arXiv.1907.10676", | 212 | "https://doi.org/10.48550/arXiv.1907.10676", | ||
213 | "https://doi.org/10.48550/arXiv.1704.01085", | 213 | "https://doi.org/10.48550/arXiv.1704.01085", | ||
214 | "https://doi.org/10.48550/arXiv.2101.06662", | 214 | "https://doi.org/10.48550/arXiv.2101.06662", | ||
215 | "https://doi.org/10.48550/arXiv.2304.10375", | 215 | "https://doi.org/10.48550/arXiv.2304.10375", | ||
216 | "https://doi.org/10.48550/arXiv.2305.02857", | 216 | "https://doi.org/10.48550/arXiv.2305.02857", | ||
217 | "https://doi.org/10.48550/arXiv.2007.02879", | 217 | "https://doi.org/10.48550/arXiv.2007.02879", | ||
218 | "https://doi.org/10.48550/arXiv.1805.03364", | 218 | "https://doi.org/10.48550/arXiv.1805.03364", | ||
219 | "https://doi.org/10.48550/arXiv.1805.04992", | 219 | "https://doi.org/10.48550/arXiv.1805.04992", | ||
220 | "https://doi.org/10.48550/arXiv.2301.03459", | 220 | "https://doi.org/10.48550/arXiv.2301.03459", | ||
221 | "https://doi.org/10.48550/arXiv.1806.00780", | 221 | "https://doi.org/10.48550/arXiv.1806.00780", | ||
222 | "https://doi.org/10.48550/arXiv.2202.03348", | 222 | "https://doi.org/10.48550/arXiv.2202.03348", | ||
223 | "https://doi.org/10.1145/3622758.3622882", | 223 | "https://doi.org/10.1145/3622758.3622882", | ||
224 | "https://doi.org/10.48550/arXiv.2309.14807", | 224 | "https://doi.org/10.48550/arXiv.2309.14807", | ||
225 | "https://doi.org/10.1613/jair.2681", | 225 | "https://doi.org/10.1613/jair.2681", | ||
226 | "https://doi.org/10.1109/TCI.2021.3060915", | 226 | "https://doi.org/10.1109/TCI.2021.3060915", | ||
227 | "https://doi.org/10.1038/s41598-020-61705-9", | 227 | "https://doi.org/10.1038/s41598-020-61705-9", | ||
228 | "https://doi.org/10.48550/arXiv.2002.02655", | 228 | "https://doi.org/10.48550/arXiv.2002.02655", | ||
229 | "https://doi.org/10.48550/arXiv.2311.14495", | 229 | "https://doi.org/10.48550/arXiv.2311.14495", | ||
230 | "https://doi.org/10.5281/zenodo.10680113", | 230 | "https://doi.org/10.5281/zenodo.10680113", | ||
231 | "https://doi.org/10.48550/arXiv.2104.07916", | 231 | "https://doi.org/10.48550/arXiv.2104.07916", | ||
232 | "https://doi.org/10.48550/arXiv.2306.06272", | 232 | "https://doi.org/10.48550/arXiv.2306.06272", | ||
233 | "https://doi.org/10.21468/SciPostPhysCodeb.7", | 233 | "https://doi.org/10.21468/SciPostPhysCodeb.7", | ||
234 | "https://doi.org/10.48550/arXiv.2208.00461", | 234 | "https://doi.org/10.48550/arXiv.2208.00461", | ||
235 | "https://doi.org/10.48550/arXiv.2106.04283", | 235 | "https://doi.org/10.48550/arXiv.2106.04283", | ||
236 | "https://doi.org/10.48550/arXiv.2010.16323", | 236 | "https://doi.org/10.48550/arXiv.2010.16323", | ||
237 | "https://doi.org/10.1093/imanum/drab027", | 237 | "https://doi.org/10.1093/imanum/drab027", | ||
238 | "https://doi.org/10.1007/s10032-021-00384-2", | 238 | "https://doi.org/10.1007/s10032-021-00384-2", | ||
239 | "https://doi.org/10.48550/arXiv.2402.07610", | 239 | "https://doi.org/10.48550/arXiv.2402.07610", | ||
240 | "https://doi.org/10.48550/arXiv.1706.01869", | 240 | "https://doi.org/10.48550/arXiv.1706.01869", | ||
241 | "https://doi.org/10.48550/arXiv.2306.00317", | 241 | "https://doi.org/10.48550/arXiv.2306.00317", | ||
242 | "https://doi.org/10.48550/arXiv.1606.08928", | 242 | "https://doi.org/10.48550/arXiv.1606.08928", | ||
243 | "https://doi.org/10.48550/arXiv.1807.04169", | 243 | "https://doi.org/10.48550/arXiv.1807.04169", | ||
244 | "https://doi.org/10.1613/jair.3489", | 244 | "https://doi.org/10.1613/jair.3489", | ||
245 | "https://doi.org/10.48550/arXiv.1605.00507", | 245 | "https://doi.org/10.48550/arXiv.1605.00507", | ||
246 | "https://doi.org/10.48550/arXiv.2404.12526", | 246 | "https://doi.org/10.48550/arXiv.2404.12526", | ||
247 | "https://doi.org/10.48550/arXiv.2205.10022", | 247 | "https://doi.org/10.48550/arXiv.2205.10022", | ||
248 | "https://doi.org/10.48550/arXiv.2305.11183", | 248 | "https://doi.org/10.48550/arXiv.2305.11183", | ||
249 | "https://doi.org/10.48550/arXiv.1808.03591", | 249 | "https://doi.org/10.48550/arXiv.1808.03591", | ||
250 | "https://doi.org/10.48550/arXiv.1906.01164", | 250 | "https://doi.org/10.48550/arXiv.1906.01164", | ||
251 | "https://doi.org/10.48550/arXiv.2308.02774", | 251 | "https://doi.org/10.48550/arXiv.2308.02774", | ||
252 | "https://doi.org/10.48550/arXiv.2407.12061", | 252 | "https://doi.org/10.48550/arXiv.2407.12061", | ||
253 | "https://doi.org/10.48550/arXiv.2011.00307", | 253 | "https://doi.org/10.48550/arXiv.2011.00307", | ||
254 | "https://doi.org/10.48550/arXiv.1906.00722", | 254 | "https://doi.org/10.48550/arXiv.1906.00722", | ||
255 | "https://doi.org/10.48550/arXiv.1912.13110", | 255 | "https://doi.org/10.48550/arXiv.1912.13110", | ||
256 | "https://doi.org/10.48550/arXiv.2403.08902", | 256 | "https://doi.org/10.48550/arXiv.2403.08902", | ||
257 | "https://doi.org/10.48550/arXiv.1905.04270", | 257 | "https://doi.org/10.48550/arXiv.1905.04270", | ||
258 | "https://doi.org/10.48550/arXiv.2005.08053", | 258 | "https://doi.org/10.48550/arXiv.2005.08053", | ||
259 | "https://doi.org/10.48550/arXiv.2402.02429", | 259 | "https://doi.org/10.48550/arXiv.2402.02429", | ||
260 | "https://doi.org/10.48550/arXiv.2010.10373", | 260 | "https://doi.org/10.48550/arXiv.2010.10373", | ||
261 | "https://doi.org/10.48550/arXiv.1602.05772", | 261 | "https://doi.org/10.48550/arXiv.1602.05772", | ||
262 | "https://doi.org/10.48550/arXiv.1911.10180", | 262 | "https://doi.org/10.48550/arXiv.1911.10180", | ||
263 | "https://doi.org/10.48550/arXiv.2405.08205", | 263 | "https://doi.org/10.48550/arXiv.2405.08205", | ||
264 | "https://doi.org/10.48550/arXiv.1411.4086", | 264 | "https://doi.org/10.48550/arXiv.1411.4086", | ||
265 | "https://doi.org/10.48550/arXiv.2407.12021", | 265 | "https://doi.org/10.48550/arXiv.2407.12021", | ||
266 | "https://doi.org/10.48550/arXiv.2106.01216", | 266 | "https://doi.org/10.48550/arXiv.2106.01216", | ||
267 | "https://doi.org/10.1145/3477026", | 267 | "https://doi.org/10.1145/3477026", | ||
268 | "https://doi.org/10.48550/arXiv.2109.03754", | 268 | "https://doi.org/10.48550/arXiv.2109.03754", | ||
269 | "https://doi.org/10.48550/arXiv.1905.03729", | 269 | "https://doi.org/10.48550/arXiv.1905.03729", | ||
270 | "https://doi.org/10.48550/arXiv.2112.08304", | 270 | "https://doi.org/10.48550/arXiv.2112.08304", | ||
271 | "https://doi.org/10.48550/arXiv.2111.09639", | 271 | "https://doi.org/10.48550/arXiv.2111.09639", | ||
272 | "https://doi.org/10.48550/arXiv.2211.11407", | 272 | "https://doi.org/10.48550/arXiv.2211.11407", | ||
273 | "https://doi.org/10.1007/978-3-031-75380-0_18", | 273 | "https://doi.org/10.1007/978-3-031-75380-0_18", | ||
274 | "https://doi.org/10.3150/21-BEJ1447", | 274 | "https://doi.org/10.3150/21-BEJ1447", | ||
275 | "https://doi.org/10.1093/jrsssc/qlae035", | 275 | "https://doi.org/10.1093/jrsssc/qlae035", | ||
276 | "https://doi.org/10.48550/arXiv.1809.06297", | 276 | "https://doi.org/10.48550/arXiv.1809.06297", | ||
277 | "https://doi.org/10.48550/arXiv.1708.05081", | 277 | "https://doi.org/10.48550/arXiv.1708.05081", | ||
278 | "https://doi.org/10.48550/arXiv.2107.05627", | 278 | "https://doi.org/10.48550/arXiv.2107.05627", | ||
279 | "https://doi.org/10.48550/arXiv.1909.12830", | 279 | "https://doi.org/10.48550/arXiv.1909.12830", | ||
280 | "https://doi.org/10.48550/arXiv.1906.05413", | 280 | "https://doi.org/10.48550/arXiv.1906.05413", | ||
281 | "https://doi.org/10.48550/arXiv.1308.3177", | 281 | "https://doi.org/10.48550/arXiv.1308.3177", | ||
282 | "https://doi.org/10.48550/arXiv.1707.05776", | 282 | "https://doi.org/10.48550/arXiv.1707.05776", | ||
283 | "https://doi.org/10.48550/arXiv.2302.08378", | 283 | "https://doi.org/10.48550/arXiv.2302.08378", | ||
284 | "https://doi.org/10.48550/arXiv.2301.09854", | 284 | "https://doi.org/10.48550/arXiv.2301.09854", | ||
285 | "https://doi.org/10.48550/arXiv.2402.11733", | 285 | "https://doi.org/10.48550/arXiv.2402.11733", | ||
286 | "https://doi.org/10.48550/arXiv.2107.14365", | 286 | "https://doi.org/10.48550/arXiv.2107.14365", | ||
287 | "https://doi.org/10.1109/JIOT.2024.3470210", | 287 | "https://doi.org/10.1109/JIOT.2024.3470210", | ||
288 | "https://doi.org/10.48550/arXiv.2002.05083", | 288 | "https://doi.org/10.48550/arXiv.2002.05083", | ||
289 | "https://doi.org/10.48550/arXiv.1605.03143", | 289 | "https://doi.org/10.48550/arXiv.1605.03143", | ||
290 | "https://doi.org/10.48550/arXiv.2403.05704", | 290 | "https://doi.org/10.48550/arXiv.2403.05704", | ||
291 | "https://doi.org/10.48550/arXiv.2404.00086", | 291 | "https://doi.org/10.48550/arXiv.2404.00086", | ||
292 | "https://doi.org/10.1145/3377930.3390226", | 292 | "https://doi.org/10.1145/3377930.3390226", | ||
293 | "https://doi.org/10.48550/arXiv.2108.04855", | 293 | "https://doi.org/10.48550/arXiv.2108.04855", | ||
294 | "https://doi.org/10.48550/arXiv.1512.02693", | 294 | "https://doi.org/10.48550/arXiv.1512.02693", | ||
295 | "https://doi.org/10.48550/arXiv.1712.02662", | 295 | "https://doi.org/10.48550/arXiv.1712.02662", | ||
296 | "https://doi.org/10.48550/arXiv.1409.4835", | 296 | "https://doi.org/10.48550/arXiv.1409.4835", | ||
297 | "https://doi.org/10.48550/arXiv.1904.01172", | 297 | "https://doi.org/10.48550/arXiv.1904.01172", | ||
298 | "https://doi.org/10.1016/j.compmedimag.2021.101866", | 298 | "https://doi.org/10.1016/j.compmedimag.2021.101866", | ||
299 | "https://doi.org/10.48550/arXiv.1603.07150", | 299 | "https://doi.org/10.48550/arXiv.1603.07150", | ||
300 | "https://doi.org/10.48550/arXiv.1702.03040", | 300 | "https://doi.org/10.48550/arXiv.1702.03040", | ||
301 | "https://doi.org/10.48550/arXiv.2209.12101", | 301 | "https://doi.org/10.48550/arXiv.2209.12101", | ||
302 | "https://doi.org/10.48550/arXiv.1709.04836", | 302 | "https://doi.org/10.48550/arXiv.1709.04836", | ||
303 | "https://doi.org/10.48550/arXiv.2405.13022", | 303 | "https://doi.org/10.48550/arXiv.2405.13022", | ||
304 | "https://doi.org/10.48550/arXiv.2006.10680", | 304 | "https://doi.org/10.48550/arXiv.2006.10680", | ||
305 | "https://doi.org/10.48550/arXiv.1806.04278", | 305 | "https://doi.org/10.48550/arXiv.1806.04278", | ||
306 | "https://doi.org/10.48550/arXiv.2403.06510", | 306 | "https://doi.org/10.48550/arXiv.2403.06510", | ||
307 | "https://doi.org/10.48550/arXiv.2402.05421", | 307 | "https://doi.org/10.48550/arXiv.2402.05421", | ||
308 | "https://doi.org/10.48550/arXiv.2003.00389", | 308 | "https://doi.org/10.48550/arXiv.2003.00389", | ||
309 | "https://doi.org/10.48550/arXiv.1703.00377", | 309 | "https://doi.org/10.48550/arXiv.1703.00377", | ||
310 | "https://doi.org/10.48550/arXiv.1810.02528", | 310 | "https://doi.org/10.48550/arXiv.1810.02528", | ||
311 | "https://doi.org/10.48550/arXiv.1910.09502", | 311 | "https://doi.org/10.48550/arXiv.1910.09502", | ||
312 | "https://doi.org/10.48550/arXiv.2303.09962", | 312 | "https://doi.org/10.48550/arXiv.2303.09962", | ||
313 | "https://doi.org/10.48550/arXiv.2311.01953", | 313 | "https://doi.org/10.48550/arXiv.2311.01953", | ||
314 | "https://doi.org/10.24963/ijcai.2022/855", | 314 | "https://doi.org/10.24963/ijcai.2022/855", | ||
315 | "https://doi.org/10.48550/arXiv.1711.00658", | 315 | "https://doi.org/10.48550/arXiv.1711.00658", | ||
316 | "https://doi.org/10.48550/arXiv.2205.13086", | 316 | "https://doi.org/10.48550/arXiv.2205.13086", | ||
317 | "https://doi.org/10.48550/arXiv.2403.15251", | 317 | "https://doi.org/10.48550/arXiv.2403.15251", | ||
318 | "https://doi.org/10.48550/arXiv.2208.03247", | 318 | "https://doi.org/10.48550/arXiv.2208.03247", | ||
319 | "https://doi.org/10.48550/arXiv.2202.11987", | 319 | "https://doi.org/10.48550/arXiv.2202.11987", | ||
320 | "https://doi.org/10.48550/arXiv.2310.05833", | 320 | "https://doi.org/10.48550/arXiv.2310.05833", | ||
321 | "https://doi.org/10.48550/arXiv.2006.08571", | 321 | "https://doi.org/10.48550/arXiv.2006.08571", | ||
322 | "https://doi.org/10.48550/arXiv.1904.12286", | 322 | "https://doi.org/10.48550/arXiv.1904.12286", | ||
323 | "https://doi.org/10.48550/arXiv.2012.01634", | 323 | "https://doi.org/10.48550/arXiv.2012.01634", | ||
324 | "https://doi.org/10.48550/arXiv.1303.6066", | 324 | "https://doi.org/10.48550/arXiv.1303.6066", | ||
325 | "https://doi.org/10.48550/arXiv.2309.00814", | 325 | "https://doi.org/10.48550/arXiv.2309.00814", | ||
326 | "https://doi.org/10.1007/978-3-031-16452-1_53", | 326 | "https://doi.org/10.1007/978-3-031-16452-1_53", | ||
327 | "https://doi.org/10.48550/arXiv.2005.07275", | 327 | "https://doi.org/10.48550/arXiv.2005.07275", | ||
328 | "https://doi.org/10.48550/arXiv.2105.12787", | 328 | "https://doi.org/10.48550/arXiv.2105.12787", | ||
329 | "https://doi.org/10.48550/arXiv.2011.14150", | 329 | "https://doi.org/10.48550/arXiv.2011.14150", | ||
330 | "https://doi.org/10.48550/arXiv.2211.09678", | 330 | "https://doi.org/10.48550/arXiv.2211.09678", | ||
331 | "https://doi.org/10.48550/arXiv.2112.14347", | 331 | "https://doi.org/10.48550/arXiv.2112.14347", | ||
332 | "https://doi.org/10.48550/arXiv.2008.04848", | 332 | "https://doi.org/10.48550/arXiv.2008.04848", | ||
333 | "https://doi.org/10.48550/arXiv.2202.07626", | 333 | "https://doi.org/10.48550/arXiv.2202.07626", | ||
334 | "https://doi.org/10.48550/arXiv.1712.07822", | 334 | "https://doi.org/10.48550/arXiv.1712.07822", | ||
335 | "https://doi.org/10.48550/arXiv.2307.13116", | 335 | "https://doi.org/10.48550/arXiv.2307.13116", | ||
336 | "https://doi.org/10.48550/arXiv.2002.00269", | 336 | "https://doi.org/10.48550/arXiv.2002.00269", | ||
337 | "https://doi.org/10.48550/arXiv.2407.04631", | 337 | "https://doi.org/10.48550/arXiv.2407.04631", | ||
338 | "https://doi.org/10.48550/arXiv.1710.08114", | 338 | "https://doi.org/10.48550/arXiv.1710.08114", | ||
339 | "https://doi.org/10.48550/arXiv.2309.16928", | 339 | "https://doi.org/10.48550/arXiv.2309.16928", | ||
340 | "https://doi.org/10.48550/arXiv.2206.12418", | 340 | "https://doi.org/10.48550/arXiv.2206.12418", | ||
341 | "https://doi.org/10.48550/arXiv.2306.05401", | 341 | "https://doi.org/10.48550/arXiv.2306.05401", | ||
342 | "https://doi.org/10.48550/arXiv.2006.08465", | 342 | "https://doi.org/10.48550/arXiv.2006.08465", | ||
343 | "https://doi.org/10.48550/arXiv.2101.06232", | 343 | "https://doi.org/10.48550/arXiv.2101.06232", | ||
344 | "https://doi.org/10.1007/s10182-023-00477-9", | 344 | "https://doi.org/10.1007/s10182-023-00477-9", | ||
345 | "https://doi.org/10.48550/arXiv.2011.08485", | 345 | "https://doi.org/10.48550/arXiv.2011.08485", | ||
346 | "https://doi.org/10.48550/arXiv.2212.02223", | 346 | "https://doi.org/10.48550/arXiv.2212.02223", | ||
347 | "https://doi.org/10.48550/arXiv.2107.13247", | 347 | "https://doi.org/10.48550/arXiv.2107.13247", | ||
348 | "https://doi.org/10.48550/arXiv.1905.11381", | 348 | "https://doi.org/10.48550/arXiv.1905.11381", | ||
349 | "https://doi.org/10.48550/arXiv.2209.05861", | 349 | "https://doi.org/10.48550/arXiv.2209.05861", | ||
350 | "https://doi.org/10.48550/arXiv.2212.04983", | 350 | "https://doi.org/10.48550/arXiv.2212.04983", | ||
351 | "https://doi.org/10.1186/s13321-018-0319-2", | 351 | "https://doi.org/10.1186/s13321-018-0319-2", | ||
352 | "https://doi.org/10.48550/arXiv.2204.04638", | 352 | "https://doi.org/10.48550/arXiv.2204.04638", | ||
353 | "https://doi.org/10.48550/arXiv.2209.15292", | 353 | "https://doi.org/10.48550/arXiv.2209.15292", | ||
354 | "https://doi.org/10.48550/arXiv.1610.08628", | 354 | "https://doi.org/10.48550/arXiv.1610.08628", | ||
355 | "https://doi.org/10.48550/arXiv.2311.18259", | 355 | "https://doi.org/10.48550/arXiv.2311.18259", | ||
356 | "https://doi.org/10.48550/arXiv.1904.12774", | 356 | "https://doi.org/10.48550/arXiv.1904.12774", | ||
357 | "https://doi.org/10.48550/arXiv.2310.18264", | 357 | "https://doi.org/10.48550/arXiv.2310.18264", | ||
358 | "https://doi.org/10.48550/arXiv.2407.11194", | 358 | "https://doi.org/10.48550/arXiv.2407.11194", | ||
359 | "https://doi.org/10.48550/arXiv.2108.03997", | 359 | "https://doi.org/10.48550/arXiv.2108.03997", | ||
360 | "https://doi.org/10.48550/arXiv.2203.12922", | 360 | "https://doi.org/10.48550/arXiv.2203.12922", | ||
361 | "https://doi.org/10.48550/arXiv.2401.15621", | 361 | "https://doi.org/10.48550/arXiv.2401.15621", | ||
362 | "https://doi.org/10.48550/arXiv.2010.06076", | 362 | "https://doi.org/10.48550/arXiv.2010.06076", | ||
363 | "https://doi.org/10.48550/arXiv.2004.11252", | 363 | "https://doi.org/10.48550/arXiv.2004.11252", | ||
364 | "https://doi.org/10.48550/arXiv.2301.12033", | 364 | "https://doi.org/10.48550/arXiv.2301.12033", | ||
365 | "https://doi.org/10.48550/arXiv.1912.00049", | 365 | "https://doi.org/10.48550/arXiv.1912.00049", | ||
366 | "https://doi.org/10.48550/arXiv.2004.07667", | 366 | "https://doi.org/10.48550/arXiv.2004.07667", | ||
367 | "https://doi.org/10.48550/arXiv.2101.03131", | 367 | "https://doi.org/10.48550/arXiv.2101.03131", | ||
368 | "https://doi.org/10.48550/arXiv.1607.01981", | 368 | "https://doi.org/10.48550/arXiv.1607.01981", | ||
369 | "https://doi.org/10.48550/arXiv.1710.11383", | 369 | "https://doi.org/10.48550/arXiv.1710.11383", | ||
370 | "https://doi.org/10.48550/arXiv.2310.12986", | 370 | "https://doi.org/10.48550/arXiv.2310.12986", | ||
371 | "https://doi.org/10.1613/jair.2980", | 371 | "https://doi.org/10.1613/jair.2980", | ||
372 | "https://doi.org/10.48550/arXiv.2003.10606", | 372 | "https://doi.org/10.48550/arXiv.2003.10606", | ||
373 | "https://doi.org/10.48550/arXiv.2305.01639", | 373 | "https://doi.org/10.48550/arXiv.2305.01639", | ||
374 | "https://doi.org/10.48550/arXiv.2203.06967", | 374 | "https://doi.org/10.48550/arXiv.2203.06967", | ||
375 | "https://doi.org/10.1016/j.artint.2016.05.003", | 375 | "https://doi.org/10.1016/j.artint.2016.05.003", | ||
376 | "https://doi.org/10.48550/arXiv.1812.09664", | 376 | "https://doi.org/10.48550/arXiv.1812.09664", | ||
377 | "https://doi.org/10.48550/arXiv.2406.17761", | 377 | "https://doi.org/10.48550/arXiv.2406.17761", | ||
378 | "https://doi.org/10.48550/arXiv.1405.4138", | 378 | "https://doi.org/10.48550/arXiv.1405.4138", | ||
379 | "https://doi.org/10.48550/arXiv.2404.00878", | 379 | "https://doi.org/10.48550/arXiv.2404.00878", | ||
380 | "https://doi.org/10.48550/arXiv.2209.08037", | 380 | "https://doi.org/10.48550/arXiv.2209.08037", | ||
381 | "https://doi.org/10.1145/3340531.3412760", | 381 | "https://doi.org/10.1145/3340531.3412760", | ||
382 | "https://doi.org/10.48550/arXiv.2312.06348", | 382 | "https://doi.org/10.48550/arXiv.2312.06348", | ||
383 | "https://doi.org/10.48550/arXiv.1609.01228", | 383 | "https://doi.org/10.48550/arXiv.1609.01228", | ||
384 | "https://doi.org/10.48550/arXiv.1910.11673", | 384 | "https://doi.org/10.48550/arXiv.1910.11673", | ||
385 | "https://doi.org/10.48550/arXiv.2002.08943", | 385 | "https://doi.org/10.48550/arXiv.2002.08943", | ||
386 | "https://doi.org/10.48550/arXiv.2308.10413" | 386 | "https://doi.org/10.48550/arXiv.2308.10413" | ||
387 | ], | 387 | ], | ||
388 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 388 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
389 | "defined_in": "https://doi.org/10.48550/arXiv.1602.04593", | 389 | "defined_in": "https://doi.org/10.48550/arXiv.1602.04593", | ||
390 | "doi": "10.57702/0ipu8u9j", | 390 | "doi": "10.57702/0ipu8u9j", | ||
n | 391 | "doi_date_published": null, | n | 391 | "doi_date_published": "2024-12-02", |
392 | "doi_publisher": "TIB", | 392 | "doi_publisher": "TIB", | ||
n | 393 | "doi_status": false, | n | 393 | "doi_status": true, |
394 | "domain": "https://service.tib.eu/ldmservice", | 394 | "domain": "https://service.tib.eu/ldmservice", | ||
395 | "extra_authors": [ | 395 | "extra_authors": [ | ||
396 | { | 396 | { | ||
397 | "extra_author": "Thomas Tanon", | 397 | "extra_author": "Thomas Tanon", | ||
398 | "orcid": "" | 398 | "orcid": "" | ||
399 | }, | 399 | }, | ||
400 | { | 400 | { | ||
401 | "extra_author": "Kamal Singh", | 401 | "extra_author": "Kamal Singh", | ||
402 | "orcid": "" | 402 | "orcid": "" | ||
403 | }, | 403 | }, | ||
404 | { | 404 | { | ||
405 | "extra_author": "Pierre Maret", | 405 | "extra_author": "Pierre Maret", | ||
406 | "orcid": "" | 406 | "orcid": "" | ||
407 | } | 407 | } | ||
408 | ], | 408 | ], | ||
409 | "groups": [ | 409 | "groups": [ | ||
410 | { | 410 | { | ||
411 | "description": "", | 411 | "description": "", | ||
412 | "display_name": "Adversarial training", | 412 | "display_name": "Adversarial training", | ||
413 | "id": "671e5ef9-3bbe-4797-baf0-40803d484d9a", | 413 | "id": "671e5ef9-3bbe-4797-baf0-40803d484d9a", | ||
414 | "image_display_url": "", | 414 | "image_display_url": "", | ||
415 | "name": "adversarial-training", | 415 | "name": "adversarial-training", | ||
416 | "title": "Adversarial training" | 416 | "title": "Adversarial training" | ||
417 | }, | 417 | }, | ||
418 | { | 418 | { | ||
419 | "description": "", | 419 | "description": "", | ||
420 | "display_name": "Best-k-arm identification", | 420 | "display_name": "Best-k-arm identification", | ||
421 | "id": "4f8518d1-0ca5-4fba-9555-ee17c095a984", | 421 | "id": "4f8518d1-0ca5-4fba-9555-ee17c095a984", | ||
422 | "image_display_url": "", | 422 | "image_display_url": "", | ||
423 | "name": "best-k-arm-identification", | 423 | "name": "best-k-arm-identification", | ||
424 | "title": "Best-k-arm identification" | 424 | "title": "Best-k-arm identification" | ||
425 | }, | 425 | }, | ||
426 | { | 426 | { | ||
427 | "description": "", | 427 | "description": "", | ||
428 | "display_name": "Causal Discovery", | 428 | "display_name": "Causal Discovery", | ||
429 | "id": "2a7e4287-3c70-4ed4-80af-594aa36775df", | 429 | "id": "2a7e4287-3c70-4ed4-80af-594aa36775df", | ||
430 | "image_display_url": "", | 430 | "image_display_url": "", | ||
431 | "name": "causal-discovery", | 431 | "name": "causal-discovery", | ||
432 | "title": "Causal Discovery" | 432 | "title": "Causal Discovery" | ||
433 | }, | 433 | }, | ||
434 | { | 434 | { | ||
435 | "description": "", | 435 | "description": "", | ||
436 | "display_name": "Concentration Inequalities", | 436 | "display_name": "Concentration Inequalities", | ||
437 | "id": "fe3c7742-5a69-4590-a76c-54e503a44d66", | 437 | "id": "fe3c7742-5a69-4590-a76c-54e503a44d66", | ||
438 | "image_display_url": "", | 438 | "image_display_url": "", | ||
439 | "name": "concentration-inequalities", | 439 | "name": "concentration-inequalities", | ||
440 | "title": "Concentration Inequalities" | 440 | "title": "Concentration Inequalities" | ||
441 | }, | 441 | }, | ||
442 | { | 442 | { | ||
443 | "description": "", | 443 | "description": "", | ||
444 | "display_name": "Distributionally Robust Optimization", | 444 | "display_name": "Distributionally Robust Optimization", | ||
445 | "id": "31a0da56-eae6-4420-959b-b47893ca7069", | 445 | "id": "31a0da56-eae6-4420-959b-b47893ca7069", | ||
446 | "image_display_url": "", | 446 | "image_display_url": "", | ||
447 | "name": "distributionally-robust-optimization", | 447 | "name": "distributionally-robust-optimization", | ||
448 | "title": "Distributionally Robust Optimization" | 448 | "title": "Distributionally Robust Optimization" | ||
449 | }, | 449 | }, | ||
450 | { | 450 | { | ||
451 | "description": "", | 451 | "description": "", | ||
452 | "display_name": "Feature Learning", | 452 | "display_name": "Feature Learning", | ||
453 | "id": "df6266c3-1341-46ba-81e0-6339439d38f9", | 453 | "id": "df6266c3-1341-46ba-81e0-6339439d38f9", | ||
454 | "image_display_url": "", | 454 | "image_display_url": "", | ||
455 | "name": "feature-learning", | 455 | "name": "feature-learning", | ||
456 | "title": "Feature Learning" | 456 | "title": "Feature Learning" | ||
457 | }, | 457 | }, | ||
458 | { | 458 | { | ||
459 | "description": "", | 459 | "description": "", | ||
460 | "display_name": "Gradient estimation", | 460 | "display_name": "Gradient estimation", | ||
461 | "id": "57823fb3-2805-4a9f-b4eb-86ef9579352d", | 461 | "id": "57823fb3-2805-4a9f-b4eb-86ef9579352d", | ||
462 | "image_display_url": "", | 462 | "image_display_url": "", | ||
463 | "name": "gradient-estimation", | 463 | "name": "gradient-estimation", | ||
464 | "title": "Gradient estimation" | 464 | "title": "Gradient estimation" | ||
465 | }, | 465 | }, | ||
466 | { | 466 | { | ||
467 | "description": "", | 467 | "description": "", | ||
468 | "display_name": "Information-theoretic lower bounds", | 468 | "display_name": "Information-theoretic lower bounds", | ||
469 | "id": "6a84ab21-ddf9-477f-ba8c-71874ee55a0d", | 469 | "id": "6a84ab21-ddf9-477f-ba8c-71874ee55a0d", | ||
470 | "image_display_url": "", | 470 | "image_display_url": "", | ||
471 | "name": "information-theoretic-lower-bounds", | 471 | "name": "information-theoretic-lower-bounds", | ||
472 | "title": "Information-theoretic lower bounds" | 472 | "title": "Information-theoretic lower bounds" | ||
473 | }, | 473 | }, | ||
474 | { | 474 | { | ||
475 | "description": "", | 475 | "description": "", | ||
476 | "display_name": "Kernel Ridge Regression", | 476 | "display_name": "Kernel Ridge Regression", | ||
477 | "id": "b14017fe-ef50-42f4-ba20-553540e955ed", | 477 | "id": "b14017fe-ef50-42f4-ba20-553540e955ed", | ||
478 | "image_display_url": "", | 478 | "image_display_url": "", | ||
479 | "name": "kernel-ridge-regression", | 479 | "name": "kernel-ridge-regression", | ||
480 | "title": "Kernel Ridge Regression" | 480 | "title": "Kernel Ridge Regression" | ||
481 | }, | 481 | }, | ||
482 | { | 482 | { | ||
483 | "description": "", | 483 | "description": "", | ||
484 | "display_name": "Kernelized Bandits", | 484 | "display_name": "Kernelized Bandits", | ||
485 | "id": "d16d7bd8-f6d0-4822-aae8-55ea181e26e1", | 485 | "id": "d16d7bd8-f6d0-4822-aae8-55ea181e26e1", | ||
486 | "image_display_url": "", | 486 | "image_display_url": "", | ||
487 | "name": "kernelized-bandits", | 487 | "name": "kernelized-bandits", | ||
488 | "title": "Kernelized Bandits" | 488 | "title": "Kernelized Bandits" | ||
489 | }, | 489 | }, | ||
490 | { | 490 | { | ||
491 | "description": "", | 491 | "description": "", | ||
492 | "display_name": "Knowledge Graph", | 492 | "display_name": "Knowledge Graph", | ||
493 | "id": "ca99866c-fafd-4c39-8cf6-afca14a9518c", | 493 | "id": "ca99866c-fafd-4c39-8cf6-afca14a9518c", | ||
494 | "image_display_url": "", | 494 | "image_display_url": "", | ||
495 | "name": "knowledge-graph", | 495 | "name": "knowledge-graph", | ||
496 | "title": "Knowledge Graph" | 496 | "title": "Knowledge Graph" | ||
497 | }, | 497 | }, | ||
498 | { | 498 | { | ||
499 | "description": "", | 499 | "description": "", | ||
500 | "display_name": "Knowledge Graphs", | 500 | "display_name": "Knowledge Graphs", | ||
501 | "id": "d5fc5594-e3e1-452e-bc80-70c4521b2a8a", | 501 | "id": "d5fc5594-e3e1-452e-bc80-70c4521b2a8a", | ||
502 | "image_display_url": "", | 502 | "image_display_url": "", | ||
503 | "name": "knowledge-graphs", | 503 | "name": "knowledge-graphs", | ||
504 | "title": "Knowledge Graphs" | 504 | "title": "Knowledge Graphs" | ||
505 | }, | 505 | }, | ||
506 | { | 506 | { | ||
507 | "description": "", | 507 | "description": "", | ||
508 | "display_name": "Lifelong Learning", | 508 | "display_name": "Lifelong Learning", | ||
509 | "id": "e06f0937-6d65-4605-affd-c855261c479e", | 509 | "id": "e06f0937-6d65-4605-affd-c855261c479e", | ||
510 | "image_display_url": "", | 510 | "image_display_url": "", | ||
511 | "name": "lifelong-learning", | 511 | "name": "lifelong-learning", | ||
512 | "title": "Lifelong Learning" | 512 | "title": "Lifelong Learning" | ||
513 | }, | 513 | }, | ||
514 | { | 514 | { | ||
515 | "description": "", | 515 | "description": "", | ||
516 | "display_name": "Machine Learning", | 516 | "display_name": "Machine Learning", | ||
517 | "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a", | 517 | "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a", | ||
518 | "image_display_url": "", | 518 | "image_display_url": "", | ||
519 | "name": "machine-learning", | 519 | "name": "machine-learning", | ||
520 | "title": "Machine Learning" | 520 | "title": "Machine Learning" | ||
521 | }, | 521 | }, | ||
522 | { | 522 | { | ||
523 | "description": "", | 523 | "description": "", | ||
524 | "display_name": "Multiclass Classification", | 524 | "display_name": "Multiclass Classification", | ||
525 | "id": "acc352e2-bd1c-43e6-b6a8-ce6c31a8eee0", | 525 | "id": "acc352e2-bd1c-43e6-b6a8-ce6c31a8eee0", | ||
526 | "image_display_url": "", | 526 | "image_display_url": "", | ||
527 | "name": "multiclass-classification", | 527 | "name": "multiclass-classification", | ||
528 | "title": "Multiclass Classification" | 528 | "title": "Multiclass Classification" | ||
529 | }, | 529 | }, | ||
530 | { | 530 | { | ||
531 | "description": "", | 531 | "description": "", | ||
532 | "display_name": "Neural Networks", | 532 | "display_name": "Neural Networks", | ||
533 | "id": "c9ee57da-3813-4bee-94f4-4a66273cf23f", | 533 | "id": "c9ee57da-3813-4bee-94f4-4a66273cf23f", | ||
534 | "image_display_url": "", | 534 | "image_display_url": "", | ||
535 | "name": "neural-networks", | 535 | "name": "neural-networks", | ||
536 | "title": "Neural Networks" | 536 | "title": "Neural Networks" | ||
537 | }, | 537 | }, | ||
538 | { | 538 | { | ||
539 | "description": "", | 539 | "description": "", | ||
540 | "display_name": "Probing Schemes", | 540 | "display_name": "Probing Schemes", | ||
541 | "id": "8403ac6c-7be9-46d1-8194-61245c454ec4", | 541 | "id": "8403ac6c-7be9-46d1-8194-61245c454ec4", | ||
542 | "image_display_url": "", | 542 | "image_display_url": "", | ||
543 | "name": "probing-schemes", | 543 | "name": "probing-schemes", | ||
544 | "title": "Probing Schemes" | 544 | "title": "Probing Schemes" | ||
545 | }, | 545 | }, | ||
546 | { | 546 | { | ||
547 | "description": "", | 547 | "description": "", | ||
548 | "display_name": "Question Answering", | 548 | "display_name": "Question Answering", | ||
549 | "id": "01e9bd6b-910d-421d-bb31-799604023211", | 549 | "id": "01e9bd6b-910d-421d-bb31-799604023211", | ||
550 | "image_display_url": "", | 550 | "image_display_url": "", | ||
551 | "name": "question-answering", | 551 | "name": "question-answering", | ||
552 | "title": "Question Answering" | 552 | "title": "Question Answering" | ||
553 | }, | 553 | }, | ||
554 | { | 554 | { | ||
555 | "description": "", | 555 | "description": "", | ||
556 | "display_name": "Random Vectors", | 556 | "display_name": "Random Vectors", | ||
557 | "id": "82d5a4cf-11f5-4195-801a-392a36d6d3fb", | 557 | "id": "82d5a4cf-11f5-4195-801a-392a36d6d3fb", | ||
558 | "image_display_url": "", | 558 | "image_display_url": "", | ||
559 | "name": "random-vectors", | 559 | "name": "random-vectors", | ||
560 | "title": "Random Vectors" | 560 | "title": "Random Vectors" | ||
561 | }, | 561 | }, | ||
562 | { | 562 | { | ||
563 | "description": "", | 563 | "description": "", | ||
564 | "display_name": "Reinforcement Learning", | 564 | "display_name": "Reinforcement Learning", | ||
565 | "id": "5f9e20df-0af0-4b7e-9637-e244d4a99379", | 565 | "id": "5f9e20df-0af0-4b7e-9637-e244d4a99379", | ||
566 | "image_display_url": "", | 566 | "image_display_url": "", | ||
567 | "name": "reinforcement-learning", | 567 | "name": "reinforcement-learning", | ||
568 | "title": "Reinforcement Learning" | 568 | "title": "Reinforcement Learning" | ||
569 | }, | 569 | }, | ||
570 | { | 570 | { | ||
571 | "description": "", | 571 | "description": "", | ||
572 | "display_name": "Representation Learning", | 572 | "display_name": "Representation Learning", | ||
573 | "id": "d8de9923-2b6d-44e1-aa4e-568981304018", | 573 | "id": "d8de9923-2b6d-44e1-aa4e-568981304018", | ||
574 | "image_display_url": "", | 574 | "image_display_url": "", | ||
575 | "name": "representation-learning", | 575 | "name": "representation-learning", | ||
576 | "title": "Representation Learning" | 576 | "title": "Representation Learning" | ||
577 | }, | 577 | }, | ||
578 | { | 578 | { | ||
579 | "description": "", | 579 | "description": "", | ||
580 | "display_name": "Signal Representation", | 580 | "display_name": "Signal Representation", | ||
581 | "id": "5963462d-3ff0-4f99-b3cf-5f894e365dc5", | 581 | "id": "5963462d-3ff0-4f99-b3cf-5f894e365dc5", | ||
582 | "image_display_url": "", | 582 | "image_display_url": "", | ||
583 | "name": "signal-representation", | 583 | "name": "signal-representation", | ||
584 | "title": "Signal Representation" | 584 | "title": "Signal Representation" | ||
585 | }, | 585 | }, | ||
586 | { | 586 | { | ||
587 | "description": "", | 587 | "description": "", | ||
588 | "display_name": "Speaker Recognition", | 588 | "display_name": "Speaker Recognition", | ||
589 | "id": "f69927af-42a3-4d03-b9f9-f4dbb3bc46bb", | 589 | "id": "f69927af-42a3-4d03-b9f9-f4dbb3bc46bb", | ||
590 | "image_display_url": "", | 590 | "image_display_url": "", | ||
591 | "name": "speaker-recognition", | 591 | "name": "speaker-recognition", | ||
592 | "title": "Speaker Recognition" | 592 | "title": "Speaker Recognition" | ||
593 | }, | 593 | }, | ||
594 | { | 594 | { | ||
595 | "description": "", | 595 | "description": "", | ||
596 | "display_name": "Spectral Bias", | 596 | "display_name": "Spectral Bias", | ||
597 | "id": "b2e5b5de-f206-47fa-9556-df934d03cde4", | 597 | "id": "b2e5b5de-f206-47fa-9556-df934d03cde4", | ||
598 | "image_display_url": "", | 598 | "image_display_url": "", | ||
599 | "name": "spectral-bias", | 599 | "name": "spectral-bias", | ||
600 | "title": "Spectral Bias" | 600 | "title": "Spectral Bias" | ||
601 | }, | 601 | }, | ||
602 | { | 602 | { | ||
603 | "description": "", | 603 | "description": "", | ||
604 | "display_name": "Statistical Learning", | 604 | "display_name": "Statistical Learning", | ||
605 | "id": "47c51a0a-4514-48bd-aeab-db5c500b4dce", | 605 | "id": "47c51a0a-4514-48bd-aeab-db5c500b4dce", | ||
606 | "image_display_url": "", | 606 | "image_display_url": "", | ||
607 | "name": "statistical-learning", | 607 | "name": "statistical-learning", | ||
608 | "title": "Statistical Learning" | 608 | "title": "Statistical Learning" | ||
609 | } | 609 | } | ||
610 | ], | 610 | ], | ||
611 | "id": "3fc1e70c-eb59-4673-96ca-56e2a771344a", | 611 | "id": "3fc1e70c-eb59-4673-96ca-56e2a771344a", | ||
612 | "isopen": false, | 612 | "isopen": false, | ||
613 | "landing_page": "https://www.wikidata.org/wiki/Q5", | 613 | "landing_page": "https://www.wikidata.org/wiki/Q5", | ||
614 | "license_title": null, | 614 | "license_title": null, | ||
615 | "link_orkg": "", | 615 | "link_orkg": "", | ||
616 | "metadata_created": "2024-12-02T17:45:43.407686", | 616 | "metadata_created": "2024-12-02T17:45:43.407686", | ||
n | 617 | "metadata_modified": "2024-12-02T17:45:43.407692", | n | 617 | "metadata_modified": "2024-12-02T17:45:43.964785", |
618 | "name": "simplequestion-dataset-for-wikidata", | 618 | "name": "simplequestion-dataset-for-wikidata", | ||
619 | "notes": "The dataset used in this paper is a reinforcement learning | 619 | "notes": "The dataset used in this paper is a reinforcement learning | ||
620 | dataset, specifically the SimpleQuestion dataset, which contains | 620 | dataset, specifically the SimpleQuestion dataset, which contains | ||
621 | questions answerable using Wikidata as the knowledge graph, focusing | 621 | questions answerable using Wikidata as the knowledge graph, focusing | ||
622 | on questions with a single entity and relation.", | 622 | on questions with a single entity and relation.", | ||
n | 623 | "num_resources": 0, | n | 623 | "num_resources": 1, |
624 | "num_tags": 45, | 624 | "num_tags": 45, | ||
625 | "organization": { | 625 | "organization": { | ||
626 | "approval_status": "approved", | 626 | "approval_status": "approved", | ||
627 | "created": "2024-11-25T12:11:38.292601", | 627 | "created": "2024-11-25T12:11:38.292601", | ||
628 | "description": "", | 628 | "description": "", | ||
629 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 629 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
630 | "image_url": "", | 630 | "image_url": "", | ||
631 | "is_organization": true, | 631 | "is_organization": true, | ||
632 | "name": "no-organization", | 632 | "name": "no-organization", | ||
633 | "state": "active", | 633 | "state": "active", | ||
634 | "title": "No Organization", | 634 | "title": "No Organization", | ||
635 | "type": "organization" | 635 | "type": "organization" | ||
636 | }, | 636 | }, | ||
637 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 637 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
638 | "private": false, | 638 | "private": false, | ||
639 | "relationships_as_object": [], | 639 | "relationships_as_object": [], | ||
640 | "relationships_as_subject": [], | 640 | "relationships_as_subject": [], | ||
t | 641 | "resources": [], | t | 641 | "resources": [ |
642 | { | ||||
643 | "cache_last_updated": null, | ||||
644 | "cache_url": null, | ||||
645 | "created": "2024-12-02T18:38:42", | ||||
646 | "data": [ | ||||
647 | "dcterms:title", | ||||
648 | "dcterms:accessRights", | ||||
649 | "dcterms:creator", | ||||
650 | "dcterms:description", | ||||
651 | "dcterms:issued", | ||||
652 | "dcterms:language", | ||||
653 | "dcterms:identifier", | ||||
654 | "dcat:theme", | ||||
655 | "dcterms:type", | ||||
656 | "dcat:keyword", | ||||
657 | "dcat:landingPage", | ||||
658 | "dcterms:hasVersion", | ||||
659 | "dcterms:format", | ||||
660 | "mls:task", | ||||
661 | "datacite:isDescribedBy" | ||||
662 | ], | ||||
663 | "description": "The json representation of the dataset with its | ||||
664 | distributions based on DCAT.", | ||||
665 | "format": "JSON", | ||||
666 | "hash": "", | ||||
667 | "id": "1a65df24-2243-4a86-ae4f-935cce6b2e10", | ||||
668 | "last_modified": "2024-12-02T17:45:43.949493", | ||||
669 | "metadata_modified": "2024-12-02T17:45:43.967663", | ||||
670 | "mimetype": "application/json", | ||||
671 | "mimetype_inner": null, | ||||
672 | "name": "Original Metadata", | ||||
673 | "package_id": "3fc1e70c-eb59-4673-96ca-56e2a771344a", | ||||
674 | "position": 0, | ||||
675 | "resource_type": null, | ||||
676 | "size": 14257, | ||||
677 | "state": "active", | ||||
678 | "url": | ||||
679 | resource/1a65df24-2243-4a86-ae4f-935cce6b2e10/download/metadata.json", | ||||
680 | "url_type": "upload" | ||||
681 | } | ||||
682 | ], | ||||
642 | "services_used_list": "", | 683 | "services_used_list": "", | ||
643 | "state": "active", | 684 | "state": "active", | ||
644 | "tags": [ | 685 | "tags": [ | ||
645 | { | 686 | { | ||
646 | "display_name": "Distributionally Robust Estimator", | 687 | "display_name": "Distributionally Robust Estimator", | ||
647 | "id": "cee53705-8323-41ca-96ed-66edef99d5fb", | 688 | "id": "cee53705-8323-41ca-96ed-66edef99d5fb", | ||
648 | "name": "Distributionally Robust Estimator", | 689 | "name": "Distributionally Robust Estimator", | ||
649 | "state": "active", | 690 | "state": "active", | ||
650 | "vocabulary_id": null | 691 | "vocabulary_id": null | ||
651 | }, | 692 | }, | ||
652 | { | 693 | { | ||
653 | "display_name": "Kernel Methods", | 694 | "display_name": "Kernel Methods", | ||
654 | "id": "db031265-6985-47bb-a1c1-a678391a9f2e", | 695 | "id": "db031265-6985-47bb-a1c1-a678391a9f2e", | ||
655 | "name": "Kernel Methods", | 696 | "name": "Kernel Methods", | ||
656 | "state": "active", | 697 | "state": "active", | ||
657 | "vocabulary_id": null | 698 | "vocabulary_id": null | ||
658 | }, | 699 | }, | ||
659 | { | 700 | { | ||
660 | "display_name": "Kernel Ridge Regression", | 701 | "display_name": "Kernel Ridge Regression", | ||
661 | "id": "3ce544e5-b552-4a47-923a-9fe81847957e", | 702 | "id": "3ce544e5-b552-4a47-923a-9fe81847957e", | ||
662 | "name": "Kernel Ridge Regression", | 703 | "name": "Kernel Ridge Regression", | ||
663 | "state": "active", | 704 | "state": "active", | ||
664 | "vocabulary_id": null | 705 | "vocabulary_id": null | ||
665 | }, | 706 | }, | ||
666 | { | 707 | { | ||
667 | "display_name": "Knowledge Graph", | 708 | "display_name": "Knowledge Graph", | ||
668 | "id": "1bea6e8a-7d3e-45b6-8ebb-3c23ad1b748b", | 709 | "id": "1bea6e8a-7d3e-45b6-8ebb-3c23ad1b748b", | ||
669 | "name": "Knowledge Graph", | 710 | "name": "Knowledge Graph", | ||
670 | "state": "active", | 711 | "state": "active", | ||
671 | "vocabulary_id": null | 712 | "vocabulary_id": null | ||
672 | }, | 713 | }, | ||
673 | { | 714 | { | ||
674 | "display_name": "Knowledge Graphs", | 715 | "display_name": "Knowledge Graphs", | ||
675 | "id": "2775adfa-4581-4fcc-8828-7a93a72f95e4", | 716 | "id": "2775adfa-4581-4fcc-8828-7a93a72f95e4", | ||
676 | "name": "Knowledge Graphs", | 717 | "name": "Knowledge Graphs", | ||
677 | "state": "active", | 718 | "state": "active", | ||
678 | "vocabulary_id": null | 719 | "vocabulary_id": null | ||
679 | }, | 720 | }, | ||
680 | { | 721 | { | ||
681 | "display_name": "Question Answering", | 722 | "display_name": "Question Answering", | ||
682 | "id": "90f0a19e-b0c2-47b9-9180-dd38182c8003", | 723 | "id": "90f0a19e-b0c2-47b9-9180-dd38182c8003", | ||
683 | "name": "Question Answering", | 724 | "name": "Question Answering", | ||
684 | "state": "active", | 725 | "state": "active", | ||
685 | "vocabulary_id": null | 726 | "vocabulary_id": null | ||
686 | }, | 727 | }, | ||
687 | { | 728 | { | ||
688 | "display_name": "SimpleQuestion", | 729 | "display_name": "SimpleQuestion", | ||
689 | "id": "8fc8ea3b-9951-45f0-825f-9b3f9cb93896", | 730 | "id": "8fc8ea3b-9951-45f0-825f-9b3f9cb93896", | ||
690 | "name": "SimpleQuestion", | 731 | "name": "SimpleQuestion", | ||
691 | "state": "active", | 732 | "state": "active", | ||
692 | "vocabulary_id": null | 733 | "vocabulary_id": null | ||
693 | }, | 734 | }, | ||
694 | { | 735 | { | ||
695 | "display_name": "Speaker Recognition", | 736 | "display_name": "Speaker Recognition", | ||
696 | "id": "d8544431-6f82-4e93-8da8-20fdaf0d3976", | 737 | "id": "d8544431-6f82-4e93-8da8-20fdaf0d3976", | ||
697 | "name": "Speaker Recognition", | 738 | "name": "Speaker Recognition", | ||
698 | "state": "active", | 739 | "state": "active", | ||
699 | "vocabulary_id": null | 740 | "vocabulary_id": null | ||
700 | }, | 741 | }, | ||
701 | { | 742 | { | ||
702 | "display_name": "Spectral Bias", | 743 | "display_name": "Spectral Bias", | ||
703 | "id": "17ceacc7-bbf2-4e52-9590-027c84118570", | 744 | "id": "17ceacc7-bbf2-4e52-9590-027c84118570", | ||
704 | "name": "Spectral Bias", | 745 | "name": "Spectral Bias", | ||
705 | "state": "active", | 746 | "state": "active", | ||
706 | "vocabulary_id": null | 747 | "vocabulary_id": null | ||
707 | }, | 748 | }, | ||
708 | { | 749 | { | ||
709 | "display_name": "Wasserstein Distance", | 750 | "display_name": "Wasserstein Distance", | ||
710 | "id": "86ed5192-ca41-4575-b877-c469b6159324", | 751 | "id": "86ed5192-ca41-4575-b877-c469b6159324", | ||
711 | "name": "Wasserstein Distance", | 752 | "name": "Wasserstein Distance", | ||
712 | "state": "active", | 753 | "state": "active", | ||
713 | "vocabulary_id": null | 754 | "vocabulary_id": null | ||
714 | }, | 755 | }, | ||
715 | { | 756 | { | ||
716 | "display_name": "Wikidata", | 757 | "display_name": "Wikidata", | ||
717 | "id": "245940bb-a57b-4963-a567-48a4d8c738af", | 758 | "id": "245940bb-a57b-4963-a567-48a4d8c738af", | ||
718 | "name": "Wikidata", | 759 | "name": "Wikidata", | ||
719 | "state": "active", | 760 | "state": "active", | ||
720 | "vocabulary_id": null | 761 | "vocabulary_id": null | ||
721 | }, | 762 | }, | ||
722 | { | 763 | { | ||
723 | "display_name": "adversarial", | 764 | "display_name": "adversarial", | ||
724 | "id": "532bc26a-a381-4de2-91e7-efc0f97715eb", | 765 | "id": "532bc26a-a381-4de2-91e7-efc0f97715eb", | ||
725 | "name": "adversarial", | 766 | "name": "adversarial", | ||
726 | "state": "active", | 767 | "state": "active", | ||
727 | "vocabulary_id": null | 768 | "vocabulary_id": null | ||
728 | }, | 769 | }, | ||
729 | { | 770 | { | ||
730 | "display_name": "atoms", | 771 | "display_name": "atoms", | ||
731 | "id": "dc3ad748-1def-40c7-b504-760e7679f80b", | 772 | "id": "dc3ad748-1def-40c7-b504-760e7679f80b", | ||
732 | "name": "atoms", | 773 | "name": "atoms", | ||
733 | "state": "active", | 774 | "state": "active", | ||
734 | "vocabulary_id": null | 775 | "vocabulary_id": null | ||
735 | }, | 776 | }, | ||
736 | { | 777 | { | ||
737 | "display_name": "best-k-arm identification", | 778 | "display_name": "best-k-arm identification", | ||
738 | "id": "a7fc170f-af23-40a8-bc85-bec15a468a9d", | 779 | "id": "a7fc170f-af23-40a8-bc85-bec15a468a9d", | ||
739 | "name": "best-k-arm identification", | 780 | "name": "best-k-arm identification", | ||
740 | "state": "active", | 781 | "state": "active", | ||
741 | "vocabulary_id": null | 782 | "vocabulary_id": null | ||
742 | }, | 783 | }, | ||
743 | { | 784 | { | ||
744 | "display_name": "causal discovery", | 785 | "display_name": "causal discovery", | ||
745 | "id": "d55d0db2-6ae3-4be2-8a0b-ca5039510868", | 786 | "id": "d55d0db2-6ae3-4be2-8a0b-ca5039510868", | ||
746 | "name": "causal discovery", | 787 | "name": "causal discovery", | ||
747 | "state": "active", | 788 | "state": "active", | ||
748 | "vocabulary_id": null | 789 | "vocabulary_id": null | ||
749 | }, | 790 | }, | ||
750 | { | 791 | { | ||
751 | "display_name": "causal structures", | 792 | "display_name": "causal structures", | ||
752 | "id": "e9bafff7-4a6a-494b-a240-9f98988471ab", | 793 | "id": "e9bafff7-4a6a-494b-a240-9f98988471ab", | ||
753 | "name": "causal structures", | 794 | "name": "causal structures", | ||
754 | "state": "active", | 795 | "state": "active", | ||
755 | "vocabulary_id": null | 796 | "vocabulary_id": null | ||
756 | }, | 797 | }, | ||
757 | { | 798 | { | ||
758 | "display_name": "classification", | 799 | "display_name": "classification", | ||
759 | "id": "30b96a8e-ded8-465e-9a77-e4163624d903", | 800 | "id": "30b96a8e-ded8-465e-9a77-e4163624d903", | ||
760 | "name": "classification", | 801 | "name": "classification", | ||
761 | "state": "active", | 802 | "state": "active", | ||
762 | "vocabulary_id": null | 803 | "vocabulary_id": null | ||
763 | }, | 804 | }, | ||
764 | { | 805 | { | ||
765 | "display_name": "concentration inequalities", | 806 | "display_name": "concentration inequalities", | ||
766 | "id": "4529f580-2e11-4deb-9e6d-0b7c334c7870", | 807 | "id": "4529f580-2e11-4deb-9e6d-0b7c334c7870", | ||
767 | "name": "concentration inequalities", | 808 | "name": "concentration inequalities", | ||
768 | "state": "active", | 809 | "state": "active", | ||
769 | "vocabulary_id": null | 810 | "vocabulary_id": null | ||
770 | }, | 811 | }, | ||
771 | { | 812 | { | ||
772 | "display_name": "dictionary", | 813 | "display_name": "dictionary", | ||
773 | "id": "c85a0eee-1e31-45a3-a210-2f8603f900eb", | 814 | "id": "c85a0eee-1e31-45a3-a210-2f8603f900eb", | ||
774 | "name": "dictionary", | 815 | "name": "dictionary", | ||
775 | "state": "active", | 816 | "state": "active", | ||
776 | "vocabulary_id": null | 817 | "vocabulary_id": null | ||
777 | }, | 818 | }, | ||
778 | { | 819 | { | ||
779 | "display_name": "di\ufb00erential privacy", | 820 | "display_name": "di\ufb00erential privacy", | ||
780 | "id": "ea462967-2bf6-4bab-be4d-2dfeef00bb6f", | 821 | "id": "ea462967-2bf6-4bab-be4d-2dfeef00bb6f", | ||
781 | "name": "di\ufb00erential privacy", | 822 | "name": "di\ufb00erential privacy", | ||
782 | "state": "active", | 823 | "state": "active", | ||
783 | "vocabulary_id": null | 824 | "vocabulary_id": null | ||
784 | }, | 825 | }, | ||
785 | { | 826 | { | ||
786 | "display_name": "feature learning", | 827 | "display_name": "feature learning", | ||
787 | "id": "3fe24270-347a-4825-a896-b2345d0aff39", | 828 | "id": "3fe24270-347a-4825-a896-b2345d0aff39", | ||
788 | "name": "feature learning", | 829 | "name": "feature learning", | ||
789 | "state": "active", | 830 | "state": "active", | ||
790 | "vocabulary_id": null | 831 | "vocabulary_id": null | ||
791 | }, | 832 | }, | ||
792 | { | 833 | { | ||
793 | "display_name": "gradient estimation", | 834 | "display_name": "gradient estimation", | ||
794 | "id": "1c309fc8-a4a2-45f9-94cf-a34e45496167", | 835 | "id": "1c309fc8-a4a2-45f9-94cf-a34e45496167", | ||
795 | "name": "gradient estimation", | 836 | "name": "gradient estimation", | ||
796 | "state": "active", | 837 | "state": "active", | ||
797 | "vocabulary_id": null | 838 | "vocabulary_id": null | ||
798 | }, | 839 | }, | ||
799 | { | 840 | { | ||
800 | "display_name": "information-theoretic lower bounds", | 841 | "display_name": "information-theoretic lower bounds", | ||
801 | "id": "418a102d-0dc0-4a23-a3b9-e3fa2410863f", | 842 | "id": "418a102d-0dc0-4a23-a3b9-e3fa2410863f", | ||
802 | "name": "information-theoretic lower bounds", | 843 | "name": "information-theoretic lower bounds", | ||
803 | "state": "active", | 844 | "state": "active", | ||
804 | "vocabulary_id": null | 845 | "vocabulary_id": null | ||
805 | }, | 846 | }, | ||
806 | { | 847 | { | ||
807 | "display_name": "kernelized bandits", | 848 | "display_name": "kernelized bandits", | ||
808 | "id": "dc3b2545-6347-458a-931a-d4b5391e5ca4", | 849 | "id": "dc3b2545-6347-458a-931a-d4b5391e5ca4", | ||
809 | "name": "kernelized bandits", | 850 | "name": "kernelized bandits", | ||
810 | "state": "active", | 851 | "state": "active", | ||
811 | "vocabulary_id": null | 852 | "vocabulary_id": null | ||
812 | }, | 853 | }, | ||
813 | { | 854 | { | ||
814 | "display_name": "knowledge graph", | 855 | "display_name": "knowledge graph", | ||
815 | "id": "764531bd-7a99-41f5-9ed5-2368310e952d", | 856 | "id": "764531bd-7a99-41f5-9ed5-2368310e952d", | ||
816 | "name": "knowledge graph", | 857 | "name": "knowledge graph", | ||
817 | "state": "active", | 858 | "state": "active", | ||
818 | "vocabulary_id": null | 859 | "vocabulary_id": null | ||
819 | }, | 860 | }, | ||
820 | { | 861 | { | ||
821 | "display_name": "lifelong learning", | 862 | "display_name": "lifelong learning", | ||
822 | "id": "8345a467-910a-460e-bb31-79cdf8e09b75", | 863 | "id": "8345a467-910a-460e-bb31-79cdf8e09b75", | ||
823 | "name": "lifelong learning", | 864 | "name": "lifelong learning", | ||
824 | "state": "active", | 865 | "state": "active", | ||
825 | "vocabulary_id": null | 866 | "vocabulary_id": null | ||
826 | }, | 867 | }, | ||
827 | { | 868 | { | ||
828 | "display_name": "machine learning", | 869 | "display_name": "machine learning", | ||
829 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | 870 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | ||
830 | "name": "machine learning", | 871 | "name": "machine learning", | ||
831 | "state": "active", | 872 | "state": "active", | ||
832 | "vocabulary_id": null | 873 | "vocabulary_id": null | ||
833 | }, | 874 | }, | ||
834 | { | 875 | { | ||
835 | "display_name": "multiclass", | 876 | "display_name": "multiclass", | ||
836 | "id": "d00ff359-b526-41f4-a9ab-0b053fcf1a4e", | 877 | "id": "d00ff359-b526-41f4-a9ab-0b053fcf1a4e", | ||
837 | "name": "multiclass", | 878 | "name": "multiclass", | ||
838 | "state": "active", | 879 | "state": "active", | ||
839 | "vocabulary_id": null | 880 | "vocabulary_id": null | ||
840 | }, | 881 | }, | ||
841 | { | 882 | { | ||
842 | "display_name": "neural networks", | 883 | "display_name": "neural networks", | ||
843 | "id": "8ef5d32b-4073-4531-87bc-4b4676fd22b8", | 884 | "id": "8ef5d32b-4073-4531-87bc-4b4676fd22b8", | ||
844 | "name": "neural networks", | 885 | "name": "neural networks", | ||
845 | "state": "active", | 886 | "state": "active", | ||
846 | "vocabulary_id": null | 887 | "vocabulary_id": null | ||
847 | }, | 888 | }, | ||
848 | { | 889 | { | ||
849 | "display_name": "norm-subGaussian", | 890 | "display_name": "norm-subGaussian", | ||
850 | "id": "c1622831-16a3-44f7-b81f-bd948801ace6", | 891 | "id": "c1622831-16a3-44f7-b81f-bd948801ace6", | ||
851 | "name": "norm-subGaussian", | 892 | "name": "norm-subGaussian", | ||
852 | "state": "active", | 893 | "state": "active", | ||
853 | "vocabulary_id": null | 894 | "vocabulary_id": null | ||
854 | }, | 895 | }, | ||
855 | { | 896 | { | ||
856 | "display_name": "over\ufb01tting", | 897 | "display_name": "over\ufb01tting", | ||
857 | "id": "8e35f13e-199f-45d6-b6bf-0834f12f3ca8", | 898 | "id": "8e35f13e-199f-45d6-b6bf-0834f12f3ca8", | ||
858 | "name": "over\ufb01tting", | 899 | "name": "over\ufb01tting", | ||
859 | "state": "active", | 900 | "state": "active", | ||
860 | "vocabulary_id": null | 901 | "vocabulary_id": null | ||
861 | }, | 902 | }, | ||
862 | { | 903 | { | ||
863 | "display_name": "probing schemes", | 904 | "display_name": "probing schemes", | ||
864 | "id": "d78cb610-6b1b-48b3-9965-0591847859d6", | 905 | "id": "d78cb610-6b1b-48b3-9965-0591847859d6", | ||
865 | "name": "probing schemes", | 906 | "name": "probing schemes", | ||
866 | "state": "active", | 907 | "state": "active", | ||
867 | "vocabulary_id": null | 908 | "vocabulary_id": null | ||
868 | }, | 909 | }, | ||
869 | { | 910 | { | ||
870 | "display_name": "question answering", | 911 | "display_name": "question answering", | ||
871 | "id": "d4e35d0b-ca07-4d05-bb27-50b2f30f2f00", | 912 | "id": "d4e35d0b-ca07-4d05-bb27-50b2f30f2f00", | ||
872 | "name": "question answering", | 913 | "name": "question answering", | ||
873 | "state": "active", | 914 | "state": "active", | ||
874 | "vocabulary_id": null | 915 | "vocabulary_id": null | ||
875 | }, | 916 | }, | ||
876 | { | 917 | { | ||
877 | "display_name": "random vectors", | 918 | "display_name": "random vectors", | ||
878 | "id": "e3d9f6d9-5316-4780-9e50-af000640ede4", | 919 | "id": "e3d9f6d9-5316-4780-9e50-af000640ede4", | ||
879 | "name": "random vectors", | 920 | "name": "random vectors", | ||
880 | "state": "active", | 921 | "state": "active", | ||
881 | "vocabulary_id": null | 922 | "vocabulary_id": null | ||
882 | }, | 923 | }, | ||
883 | { | 924 | { | ||
884 | "display_name": "reinforcement learning", | 925 | "display_name": "reinforcement learning", | ||
885 | "id": "bc5598c0-bc87-456a-9505-1552490050f1", | 926 | "id": "bc5598c0-bc87-456a-9505-1552490050f1", | ||
886 | "name": "reinforcement learning", | 927 | "name": "reinforcement learning", | ||
887 | "state": "active", | 928 | "state": "active", | ||
888 | "vocabulary_id": null | 929 | "vocabulary_id": null | ||
889 | }, | 930 | }, | ||
890 | { | 931 | { | ||
891 | "display_name": "representation learning", | 932 | "display_name": "representation learning", | ||
892 | "id": "d147ef83-d6b9-47d0-941f-1b21383d7343", | 933 | "id": "d147ef83-d6b9-47d0-941f-1b21383d7343", | ||
893 | "name": "representation learning", | 934 | "name": "representation learning", | ||
894 | "state": "active", | 935 | "state": "active", | ||
895 | "vocabulary_id": null | 936 | "vocabulary_id": null | ||
896 | }, | 937 | }, | ||
897 | { | 938 | { | ||
898 | "display_name": "robustness", | 939 | "display_name": "robustness", | ||
899 | "id": "d02ce9dd-5b63-47cc-b3c7-68ba3c79d3be", | 940 | "id": "d02ce9dd-5b63-47cc-b3c7-68ba3c79d3be", | ||
900 | "name": "robustness", | 941 | "name": "robustness", | ||
901 | "state": "active", | 942 | "state": "active", | ||
902 | "vocabulary_id": null | 943 | "vocabulary_id": null | ||
903 | }, | 944 | }, | ||
904 | { | 945 | { | ||
905 | "display_name": "signal representation", | 946 | "display_name": "signal representation", | ||
906 | "id": "19dbb050-e63f-4c2d-b3c1-d62ef82f0e17", | 947 | "id": "19dbb050-e63f-4c2d-b3c1-d62ef82f0e17", | ||
907 | "name": "signal representation", | 948 | "name": "signal representation", | ||
908 | "state": "active", | 949 | "state": "active", | ||
909 | "vocabulary_id": null | 950 | "vocabulary_id": null | ||
910 | }, | 951 | }, | ||
911 | { | 952 | { | ||
912 | "display_name": "single entity", | 953 | "display_name": "single entity", | ||
913 | "id": "96a6dc93-4c5c-41bd-a3de-4c6eb347e168", | 954 | "id": "96a6dc93-4c5c-41bd-a3de-4c6eb347e168", | ||
914 | "name": "single entity", | 955 | "name": "single entity", | ||
915 | "state": "active", | 956 | "state": "active", | ||
916 | "vocabulary_id": null | 957 | "vocabulary_id": null | ||
917 | }, | 958 | }, | ||
918 | { | 959 | { | ||
919 | "display_name": "single relation", | 960 | "display_name": "single relation", | ||
920 | "id": "f4b0bddd-8fab-44fb-8f93-1a8aea1a23ab", | 961 | "id": "f4b0bddd-8fab-44fb-8f93-1a8aea1a23ab", | ||
921 | "name": "single relation", | 962 | "name": "single relation", | ||
922 | "state": "active", | 963 | "state": "active", | ||
923 | "vocabulary_id": null | 964 | "vocabulary_id": null | ||
924 | }, | 965 | }, | ||
925 | { | 966 | { | ||
926 | "display_name": "subGaussian", | 967 | "display_name": "subGaussian", | ||
927 | "id": "8e5445a0-b2d7-4ec9-8b20-a61afeeb0b8a", | 968 | "id": "8e5445a0-b2d7-4ec9-8b20-a61afeeb0b8a", | ||
928 | "name": "subGaussian", | 969 | "name": "subGaussian", | ||
929 | "state": "active", | 970 | "state": "active", | ||
930 | "vocabulary_id": null | 971 | "vocabulary_id": null | ||
931 | }, | 972 | }, | ||
932 | { | 973 | { | ||
933 | "display_name": "transfer learning", | 974 | "display_name": "transfer learning", | ||
934 | "id": "ced7ea90-6014-4247-9eba-12e1c000b687", | 975 | "id": "ced7ea90-6014-4247-9eba-12e1c000b687", | ||
935 | "name": "transfer learning", | 976 | "name": "transfer learning", | ||
936 | "state": "active", | 977 | "state": "active", | ||
937 | "vocabulary_id": null | 978 | "vocabulary_id": null | ||
938 | }, | 979 | }, | ||
939 | { | 980 | { | ||
940 | "display_name": "under\ufb01tting", | 981 | "display_name": "under\ufb01tting", | ||
941 | "id": "83a2f597-6623-4df5-8207-95390a441713", | 982 | "id": "83a2f597-6623-4df5-8207-95390a441713", | ||
942 | "name": "under\ufb01tting", | 983 | "name": "under\ufb01tting", | ||
943 | "state": "active", | 984 | "state": "active", | ||
944 | "vocabulary_id": null | 985 | "vocabulary_id": null | ||
945 | }, | 986 | }, | ||
946 | { | 987 | { | ||
947 | "display_name": "unsupervised learning", | 988 | "display_name": "unsupervised learning", | ||
948 | "id": "e11856ba-dfb2-4384-b2cb-10b0659b1c02", | 989 | "id": "e11856ba-dfb2-4384-b2cb-10b0659b1c02", | ||
949 | "name": "unsupervised learning", | 990 | "name": "unsupervised learning", | ||
950 | "state": "active", | 991 | "state": "active", | ||
951 | "vocabulary_id": null | 992 | "vocabulary_id": null | ||
952 | }, | 993 | }, | ||
953 | { | 994 | { | ||
954 | "display_name": "wikidata", | 995 | "display_name": "wikidata", | ||
955 | "id": "3b9047a0-4143-42fa-9756-149c4177b322", | 996 | "id": "3b9047a0-4143-42fa-9756-149c4177b322", | ||
956 | "name": "wikidata", | 997 | "name": "wikidata", | ||
957 | "state": "active", | 998 | "state": "active", | ||
958 | "vocabulary_id": null | 999 | "vocabulary_id": null | ||
959 | } | 1000 | } | ||
960 | ], | 1001 | ], | ||
961 | "title": "SimpleQuestion dataset for Wikidata", | 1002 | "title": "SimpleQuestion dataset for Wikidata", | ||
962 | "type": "dataset", | 1003 | "type": "dataset", | ||
963 | "version": "" | 1004 | "version": "" | ||
964 | } | 1005 | } |