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4 | "author": "Mayra Russo", | 4 | "author": "Mayra Russo", | ||
5 | "author_email": "yashrajsinh.chudasama@tib.eu", | 5 | "author_email": "yashrajsinh.chudasama@tib.eu", | ||
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16 | "extra_authors": [ | 16 | "extra_authors": [ | ||
17 | { | 17 | { | ||
18 | "extra_author": "Yashrajsinh Chudasama", | 18 | "extra_author": "Yashrajsinh Chudasama", | ||
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41 | "link_orkg": "https://www.orkg.org/orkg/paper/R705632", | 41 | "link_orkg": "https://www.orkg.org/orkg/paper/R705632", | ||
42 | "maintainer": "Yashrajsinh Chudasama", | 42 | "maintainer": "Yashrajsinh Chudasama", | ||
43 | "maintainer_email": "yashrajsinh.chudasama@tib.eu", | 43 | "maintainer_email": "yashrajsinh.chudasama@tib.eu", | ||
44 | "metadata_created": "2024-07-16T11:43:50.389008", | 44 | "metadata_created": "2024-07-16T11:43:50.389008", | ||
45 | "metadata_modified": "2024-07-16T11:49:29.983876", | 45 | "metadata_modified": "2024-07-16T11:49:29.983876", | ||
46 | "name": | 46 | "name": | ||
47 | ploying-hybrid-ai-systems-to-trace-and-document-bias-in-ml-pipelines", | 47 | ploying-hybrid-ai-systems-to-trace-and-document-bias-in-ml-pipelines", | ||
48 | "notes": "A hybrid AI system capable of identifying bias patterns in | 48 | "notes": "A hybrid AI system capable of identifying bias patterns in | ||
49 | datasets used by predictive AI models. The proposed system captures | 49 | datasets used by predictive AI models. The proposed system captures | ||
50 | knowledge about dataset characteristics and represents it as factual | 50 | knowledge about dataset characteristics and represents it as factual | ||
51 | statements in a knowledge graph.", | 51 | statements in a knowledge graph.", | ||
52 | "num_resources": 1, | 52 | "num_resources": 1, | ||
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54 | "orcid": "0000-0001-7080-6331", | 54 | "orcid": "0000-0001-7080-6331", | ||
55 | "organization": { | 55 | "organization": { | ||
56 | "approval_status": "approved", | 56 | "approval_status": "approved", | ||
57 | "created": "2017-11-23T17:30:37.757128", | 57 | "created": "2017-11-23T17:30:37.757128", | ||
58 | "description": "The German National Library of Science and | 58 | "description": "The German National Library of Science and | ||
59 | Technology, abbreviated TIB, is the national library of the Federal | 59 | Technology, abbreviated TIB, is the national library of the Federal | ||
60 | Republic of Germany for all fields of engineering, technology, and the | 60 | Republic of Germany for all fields of engineering, technology, and the | ||
61 | natural sciences.", | 61 | natural sciences.", | ||
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68 | "title": "TIB", | 68 | "title": "TIB", | ||
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78 | "auto_update": "No", | 78 | "auto_update": "No", | ||
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80 | "auto_update_url": "", | 80 | "auto_update_url": "", | ||
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83 | "created": "2024-07-16T11:49:29.885104", | 83 | "created": "2024-07-16T11:49:29.885104", | ||
84 | "description": "", | 84 | "description": "", | ||
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92 | "mimetype": "application/zip", | 92 | "mimetype": "application/zip", | ||
93 | "mimetype_inner": null, | 93 | "mimetype_inner": null, | ||
94 | "name": "Doc-Bias", | 94 | "name": "Doc-Bias", | ||
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99 | "size": 867972, | 99 | "size": 867972, | ||
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110 | "state": "draft", | 110 | "state": "draft", | ||
111 | "tags": [ | 111 | "tags": [ | ||
112 | { | 112 | { | ||
113 | "display_name": "Bias", | 113 | "display_name": "Bias", | ||
114 | "id": "2dae510d-16c2-4435-8af9-05771787347f", | 114 | "id": "2dae510d-16c2-4435-8af9-05771787347f", | ||
115 | "name": "Bias", | 115 | "name": "Bias", | ||
116 | "state": "active", | 116 | "state": "active", | ||
117 | "vocabulary_id": null | 117 | "vocabulary_id": null | ||
118 | }, | 118 | }, | ||
119 | { | 119 | { | ||
120 | "display_name": "knowledge graphs", | 120 | "display_name": "knowledge graphs", | ||
121 | "id": "6a8020fc-d07a-4f67-9d12-74c252ba1c81", | 121 | "id": "6a8020fc-d07a-4f67-9d12-74c252ba1c81", | ||
122 | "name": "knowledge graphs", | 122 | "name": "knowledge graphs", | ||
123 | "state": "active", | 123 | "state": "active", | ||
124 | "vocabulary_id": null | 124 | "vocabulary_id": null | ||
125 | }, | 125 | }, | ||
126 | { | 126 | { | ||
127 | "display_name": "machine learning", | 127 | "display_name": "machine learning", | ||
128 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | 128 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | ||
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132 | } | 132 | } | ||
133 | ], | 133 | ], | ||
134 | "temporal_resolution": "", | 134 | "temporal_resolution": "", | ||
135 | "title": "Employing Hybrid AI Systems to Trace and Document Bias in | 135 | "title": "Employing Hybrid AI Systems to Trace and Document Bias in | ||
136 | ML Pipelines", | 136 | ML Pipelines", | ||
137 | "type": "dataset", | 137 | "type": "dataset", | ||
138 | "url": | 138 | "url": | ||
139 | ps://github.com/SDM-TIB/DocBiasKG/tree/main/DocBias_over_InterpretME", | 139 | ps://github.com/SDM-TIB/DocBiasKG/tree/main/DocBias_over_InterpretME", | ||
140 | "version": "", | 140 | "version": "", | ||
141 | "version_note": "" | 141 | "version_note": "" | ||
142 | } | 142 | } |