Publication Information

{'id': 'https://openalex.org/W2979740303', 'doi': 'https://doi.org/10.1109/embc.2019.8856726', 'title': "Alzheimer's Disease Brain Network Classification Using Improved Transfer Feature Learning with Joint Distribution Adaptation", 'display_name': "Alzheimer's Disease Brain Network Classification Using Improved Transfer Feature Learning with Joint Distribution Adaptation", 'publication_year': 2019, 'publication_date': '2019-07-01', 'ids': {'openalex': 'https://openalex.org/W2979740303', 'doi': 'https://doi.org/10.1109/embc.2019.8856726', 'mag': '2979740303', 'pmid': 'https://pubmed.ncbi.nlm.nih.gov/31946511'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/embc.2019.8856726', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'proceedings-article', 'indexed_in': ['crossref', 'pubmed'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5074159008', 'display_name': 'Binglin Wang', 'orcid': 'https://orcid.org/0000-0003-2244-3606'}, 'institutions': [{'id': 'https://openalex.org/I47720641', 'display_name': 'Huazhong University of Science and Technology', 'ror': 'https://ror.org/00p991c53', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I47720641']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Binglin Wang', 'raw_affiliation_strings': ['School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China'], 'affiliations': [{'raw_affiliation_string': 'School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China', 'institution_ids': ['https://openalex.org/I47720641']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5047526883', 'display_name': 'Wei Li', 'orcid': 'https://orcid.org/0000-0003-0879-9200'}, 'institutions': [{'id': 'https://openalex.org/I47720641', 'display_name': 'Huazhong University of Science and Technology', 'ror': 'https://ror.org/00p991c53', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I47720641']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Wei Li', 'raw_affiliation_strings': ['School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China'], 'affiliations': [{'raw_affiliation_string': 'School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China', 'institution_ids': ['https://openalex.org/I47720641']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5031531526', 'display_name': 'Wenliang Fan', 'orcid': 'https://orcid.org/0000-0001-8949-6775'}, 'institutions': [{'id': 'https://openalex.org/I47720641', 'display_name': 'Huazhong University of Science and Technology', 'ror': 'https://ror.org/00p991c53', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I47720641']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Wenliang Fan', 'raw_affiliation_strings': ['Department of Radiology, Huazhong University of Science and Technology, Wuhan, China'], 'affiliations': [{'raw_affiliation_string': 'Department of Radiology, Huazhong University of Science and Technology, Wuhan, China', 'institution_ids': ['https://openalex.org/I47720641']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5100669154', 'display_name': 'Xi Chen', 'orcid': 'https://orcid.org/0000-0003-1205-2222'}, 'institutions': [{'id': 'https://openalex.org/I47720641', 'display_name': 'Huazhong University of Science and Technology', 'ror': 'https://ror.org/00p991c53', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I47720641']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Xi Chen', 'raw_affiliation_strings': ['School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China'], 'affiliations': [{'raw_affiliation_string': 'School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China', 'institution_ids': ['https://openalex.org/I47720641']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5008740867', 'display_name': 'Dongrui Wu', 'orcid': 'https://orcid.org/0000-0002-7153-9703'}, 'institutions': [{'id': 'https://openalex.org/I47720641', 'display_name': 'Huazhong University of Science and Technology', 'ror': 'https://ror.org/00p991c53', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I47720641']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Dongrui Wu', 'raw_affiliation_strings': ['School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China'], 'affiliations': [{'raw_affiliation_string': 'School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China', 'institution_ids': ['https://openalex.org/I47720641']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.412, 'has_fulltext': False, 'cited_by_count': 8, 'citation_normalized_percentile': {'value': 0.694943, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 83, 'max': 84}, 'biblio': {'volume': None, 'issue': None, 'first_page': '2959', 'last_page': '2963'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11307', 'display_name': 'Domain Adaptation and Few-Shot Learning', 'score': 0.9978, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T11307', 'display_name': 'Domain Adaptation and Few-Shot Learning', 'score': 0.9978, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T12702', 'display_name': 'Brain Tumor Detection and Classification', 'score': 0.9964, 'subfield': {'id': 'https://openalex.org/subfields/2808', 'display_name': 'Neurology'}, 'field': {'id': 'https://openalex.org/fields/28', 'display_name': 'Neuroscience'}, 'domain': {'id': 'https://openalex.org/domains/1', 'display_name': 'Life Sciences'}}, {'id': 'https://openalex.org/T10241', 'display_name': 'Functional Brain Connectivity Studies', 'score': 0.9931, 'subfield': {'id': 'https://openalex.org/subfields/2805', 'display_name': 'Cognitive Neuroscience'}, 'field': {'id': 'https://openalex.org/fields/28', 'display_name': 'Neuroscience'}, 'domain': {'id': 'https://openalex.org/domains/1', 'display_name': 'Life Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/transfer-of-learning', 'display_name': 'Transfer of learning', 'score': 0.8163333}, {'id': 'https://openalex.org/keywords/domain-adaptation', 'display_name': 'Domain Adaptation', 'score': 0.5926238}, {'id': 'https://openalex.org/keywords/feature-vector', 'display_name': 'Feature vector', 'score': 0.5189481}], 'concepts': [{'id': 'https://openalex.org/C95623464', 'wikidata': 'https://www.wikidata.org/wiki/Q1096149', 'display_name': 'Classifier (UML)', 'level': 2, 'score': 0.8318019}, {'id': 'https://openalex.org/C150899416', 'wikidata': 'https://www.wikidata.org/wiki/Q1820378', 'display_name': 'Transfer of learning', 'level': 2, 'score': 0.8163333}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.73409736}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.70068645}, {'id': 'https://openalex.org/C2776434776', 'wikidata': 'https://www.wikidata.org/wiki/Q19246213', 'display_name': 'Domain adaptation', 'level': 3, 'score': 0.5926238}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.5890618}, {'id': 'https://openalex.org/C18653775', 'wikidata': 'https://www.wikidata.org/wiki/Q1333358', 'display_name': 'Joint probability distribution', 'level': 2, 'score': 0.54218423}, {'id': 'https://openalex.org/C83665646', 'wikidata': 'https://www.wikidata.org/wiki/Q42139305', 'display_name': 'Feature vector', 'level': 2, 'score': 0.5189481}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.47609532}, {'id': 'https://openalex.org/C2908647359', 'wikidata': 'https://www.wikidata.org/wiki/Q2625603', 'display_name': 'Population', 'level': 2, 'score': 0.41905278}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.120490134}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.09001094}, {'id': 'https://openalex.org/C149923435', 'wikidata': 'https://www.wikidata.org/wiki/Q37732', 'display_name': 'Demography', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C144024400', 'wikidata': 'https://www.wikidata.org/wiki/Q21201', 'display_name': 'Sociology', 'level': 0, 'score': 0.0}], 'mesh': [{'descriptor_ui': 'D000544', 'descriptor_name': 'Alzheimer Disease', 'qualifier_ui': 'Q000000981', 'qualifier_name': 'diagnostic imaging', 'is_major_topic': True}, {'descriptor_ui': 'D001921', 'descriptor_name': 'Brain', 'qualifier_ui': 'Q000000981', 'qualifier_name': 'diagnostic imaging', 'is_major_topic': True}, {'descriptor_ui': 'D000069550', 'descriptor_name': 'Machine Learning', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': True}, {'descriptor_ui': 'D000544', 'descriptor_name': 'Alzheimer Disease', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D001921', 'descriptor_name': 'Brain', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D006801', 'descriptor_name': 'Humans', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}, {'descriptor_ui': 'D008279', 'descriptor_name': 'Magnetic Resonance Imaging', 'qualifier_ui': '', 'qualifier_name': None, 'is_major_topic': False}], 'locations_count': 2, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/embc.2019.8856726', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, {'is_oa': False, 'landing_page_url': 'https://pubmed.ncbi.nlm.nih.gov/31946511', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306525036', 'display_name': 'PubMed', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I1299303238', 'host_organization_name': 'National Institutes of Health', 'host_organization_lineage': ['https://openalex.org/I1299303238'], 'host_organization_lineage_names': ['National Institutes of Health'], 'type': 'repository'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 13, 'referenced_works': ['https://openalex.org/W1999653836', 'https://openalex.org/W2040412343', 'https://openalex.org/W2041951497', 'https://openalex.org/W2058046532', 'https://openalex.org/W2087938247', 'https://openalex.org/W2096943734', 'https://openalex.org/W2100664256', 'https://openalex.org/W2104290444', 'https://openalex.org/W2122320288', 'https://openalex.org/W2147435466', 'https://openalex.org/W2165698076', 'https://openalex.org/W2246947137', 'https://openalex.org/W2997701990'], 'related_works': ['https://openalex.org/W4390401377', 'https://openalex.org/W4287263085', 'https://openalex.org/W3214142563', 'https://openalex.org/W3204418343', 'https://openalex.org/W3186065094', 'https://openalex.org/W3166286441', 'https://openalex.org/W3136267388', 'https://openalex.org/W3095487414', 'https://openalex.org/W3093803318', 'https://openalex.org/W3080655457'], 'abstract_inverted_index': {"Alzheimer's": [0, 17], 'disease': [1, 18], 'significantly': [2], 'affects': [3], 'the': [4, 32, 40, 43, 46, 66, 73, 95, 102, 106, 113, 119, 124, 132, 140, 143, 146], 'quality': [5], 'of': [6, 8, 42, 48, 134, 142, 149], 'life': [7], 'patients.': [9], 'This': [10], 'paper': [11], 'proposes': [12], 'an': [13, 49], 'approach': [14, 137], 'to': [15, 71, 112], 'identify': [16], 'based': [19], 'on': [20], 'transfer': [21], 'learning': [22, 38], 'using': [23], 'functional': [24], 'MRI': [25], 'images,': [26], 'which': [27, 52], 'is': [28, 35], 'especially': [29], 'useful': [30], 'when': [31], 'training': [33], 'dataset': [34, 152], 'small.': [36], 'Transfer': [37], 'improves': [39], 'performance': [41], 'classifier': [44, 89], 'with': [45, 139], 'help': [47, 141], 'auxiliary': [50, 144], 'dataset,': [51], 'may': [53], 'be': [54], 'obtained': [55], 'from': [56], 'a': [57, 80, 88], 'different': [58], 'population': [59], 'group': [60], 'and/or': [61], 'machine.': [62], 'First,': [63], 'we': [64, 86, 108], 'used': [65], 'joint': [67], 'distribution': [68], 'adaptation': [69], 'method': [70], 'project': [72], 'source': [74, 96], 'and': [75, 84, 97, 117], 'target': [76, 98, 103, 114, 151], 'domain': [77, 115], 'samples': [78, 116, 125], 'into': [79], 'new': [81], 'feature': [82], 'space,': [83], 'then': [85], 'built': [87], 'that': [90], 'works': [91], 'well': [92], 'in': [93, 122, 126], 'both': [94, 127], 'domains': [99], 'but': [100], 'emphasizes': [101], 'domain.': [104], 'In': [105], 'classifier,': [107], 'assigned': [109], 'larger': [110], 'weights': [111], 'minimized': [118], 'weighted': [120], 'loss': [121], 'classifying': [123], 'domains.': [128], 'Experimental': [129], 'results': [130], 'verify': [131], 'effectiveness': [133], 'our': [135, 150], 'proposed': [136], 'and,': [138], 'samples,': [145], 'classification': [147], 'accuracy': [148], 'has': [153], 'been': [154], 'greatly': [155], 'improved.': [156]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2979740303', 'counts_by_year': [{'year': 2023, 'cited_by_count': 2}, {'year': 2022, 'cited_by_count': 2}, {'year': 2021, 'cited_by_count': 3}, {'year': 2020, 'cited_by_count': 1}], 'updated_date': '2024-12-20T16:51:34.489706', 'created_date': '2019-10-18'}