Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W2883173869', 'doi': 'https://doi.org/10.1016/j.catena.2018.07.012', 'title': 'Comparison of the presence-only method and presence-absence method in landslide susceptibility mapping', 'display_name': 'Comparison of the presence-only method and presence-absence method in landslide susceptibility mapping', 'publication_year': 2018, 'publication_date': '2018-07-23', 'ids': {'openalex': 'https://openalex.org/W2883173869', 'doi': 'https://doi.org/10.1016/j.catena.2018.07.012', 'mag': '2883173869'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1016/j.catena.2018.07.012', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S44098145', 'display_name': 'CATENA', 'issn_l': '0341-8162', 'issn': ['0341-8162', '1872-6887'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320990', 'host_organization_name': 'Elsevier BV', 'host_organization_lineage': ['https://openalex.org/P4310320990'], 'host_organization_lineage_names': ['Elsevier BV'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], '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/A5057571908', 'display_name': 'A‐Xing Zhu', 'orcid': 'https://orcid.org/0000-0002-5725-0460'}, 'institutions': [{'id': 'https://openalex.org/I135310074', 'display_name': 'University of Wisconsin–Madison', 'ror': 'https://ror.org/01y2jtd41', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I135310074']}, {'id': 'https://openalex.org/I4210141657', 'display_name': 'Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application', 'ror': 'https://ror.org/045yewh40', 'country_code': 'CN', 'type': 'facility', 'lineage': ['https://openalex.org/I152031979', 'https://openalex.org/I4210141657']}, {'id': 'https://openalex.org/I152031979', 'display_name': 'Nanjing Normal University', 'ror': 'https://ror.org/036trcv74', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I152031979']}], 'countries': ['CN', 'US'], 'is_corresponding': False, 'raw_author_name': 'A-Xing Zhu', 'raw_affiliation_strings': ['Department of Geography, University of Wisconsin-Madison, Madison, WI 53706, USA', 'Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, Jiangsu 210023, China', 'Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210023, China', 'State Key Laboratory Cultivation Base of Geographical Environment Evolution, Jiangsu Province, Nanjing 210023, China'], 'affiliations': [{'raw_affiliation_string': 'Department of Geography, University of Wisconsin-Madison, Madison, WI 53706, USA', 'institution_ids': ['https://openalex.org/I135310074']}, {'raw_affiliation_string': 'Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, Jiangsu 210023, China', 'institution_ids': ['https://openalex.org/I4210141657']}, {'raw_affiliation_string': 'State Key Laboratory Cultivation Base of Geographical Environment Evolution, Jiangsu Province, Nanjing 210023, China', 'institution_ids': []}, {'raw_affiliation_string': 'Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210023, China', 'institution_ids': ['https://openalex.org/I152031979']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5102336009', 'display_name': 'Miao Yamin', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I4210141657', 'display_name': 'Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application', 'ror': 'https://ror.org/045yewh40', 'country_code': 'CN', 'type': 'facility', 'lineage': ['https://openalex.org/I152031979', 'https://openalex.org/I4210141657']}, {'id': 'https://openalex.org/I152031979', 'display_name': 'Nanjing Normal University', 'ror': 'https://ror.org/036trcv74', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I152031979']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Yamin Miao', 'raw_affiliation_strings': ['Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, Jiangsu 210023, China', 'Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210023, China', 'State Key Laboratory Cultivation Base of Geographical Environment Evolution, Jiangsu Province, Nanjing 210023, China'], 'affiliations': [{'raw_affiliation_string': 'Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, Jiangsu 210023, China', 'institution_ids': ['https://openalex.org/I4210141657']}, {'raw_affiliation_string': 'State Key Laboratory Cultivation Base of Geographical Environment Evolution, Jiangsu Province, Nanjing 210023, China', 'institution_ids': []}, {'raw_affiliation_string': 'Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210023, China', 'institution_ids': ['https://openalex.org/I152031979']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5015817965', 'display_name': 'Lin Yang', 'orcid': 'https://orcid.org/0000-0002-7576-4481'}, 'institutions': [{'id': 'https://openalex.org/I881766915', 'display_name': 'Nanjing University', 'ror': 'https://ror.org/01rxvg760', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I881766915']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Lin Yang', 'raw_affiliation_strings': ['School of Geography and Ocean Sciences, Nanjing University, Nanjing 210023, China'], 'affiliations': [{'raw_affiliation_string': 'School of Geography and Ocean Sciences, Nanjing University, Nanjing 210023, China', 'institution_ids': ['https://openalex.org/I881766915']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5086559241', 'display_name': 'Shibiao Bai', 'orcid': 'https://orcid.org/0000-0002-1699-0825'}, 'institutions': [{'id': 'https://openalex.org/I4210141657', 'display_name': 'Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application', 'ror': 'https://ror.org/045yewh40', 'country_code': 'CN', 'type': 'facility', 'lineage': ['https://openalex.org/I152031979', 'https://openalex.org/I4210141657']}, {'id': 'https://openalex.org/I152031979', 'display_name': 'Nanjing Normal University', 'ror': 'https://ror.org/036trcv74', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I152031979']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Shibiao Bai', 'raw_affiliation_strings': ['Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, Jiangsu 210023, China', 'Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210023, China', 'State Key Laboratory Cultivation Base of Geographical Environment Evolution, Jiangsu Province, Nanjing 210023, China'], 'affiliations': [{'raw_affiliation_string': 'Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, Jiangsu 210023, China', 'institution_ids': ['https://openalex.org/I4210141657']}, {'raw_affiliation_string': 'State Key Laboratory Cultivation Base of Geographical Environment Evolution, Jiangsu Province, Nanjing 210023, China', 'institution_ids': []}, {'raw_affiliation_string': 'Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210023, China', 'institution_ids': ['https://openalex.org/I152031979']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5090537271', 'display_name': 'Junzhi Liu', 'orcid': 'https://orcid.org/0000-0002-7354-4207'}, 'institutions': [{'id': 'https://openalex.org/I4210141657', 'display_name': 'Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application', 'ror': 'https://ror.org/045yewh40', 'country_code': 'CN', 'type': 'facility', 'lineage': ['https://openalex.org/I152031979', 'https://openalex.org/I4210141657']}, {'id': 'https://openalex.org/I152031979', 'display_name': 'Nanjing Normal University', 'ror': 'https://ror.org/036trcv74', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I152031979']}], 'countries': ['CN'], 'is_corresponding': True, 'raw_author_name': 'Junzhi Liu', 'raw_affiliation_strings': ['Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, Jiangsu 210023, China', 'Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210023, China', 'State Key Laboratory Cultivation Base of Geographical Environment Evolution, Jiangsu Province, Nanjing 210023, China'], 'affiliations': [{'raw_affiliation_string': 'Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, Jiangsu 210023, China', 'institution_ids': ['https://openalex.org/I4210141657']}, {'raw_affiliation_string': 'State Key Laboratory Cultivation Base of Geographical Environment Evolution, Jiangsu Province, Nanjing 210023, China', 'institution_ids': []}, {'raw_affiliation_string': 'Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210023, China', 'institution_ids': ['https://openalex.org/I152031979']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5100742816', 'display_name': 'Haoyuan Hong', 'orcid': 'https://orcid.org/0000-0001-6224-069X'}, 'institutions': [{'id': 'https://openalex.org/I4210141657', 'display_name': 'Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application', 'ror': 'https://ror.org/045yewh40', 'country_code': 'CN', 'type': 'facility', 'lineage': ['https://openalex.org/I152031979', 'https://openalex.org/I4210141657']}, {'id': 'https://openalex.org/I152031979', 'display_name': 'Nanjing Normal University', 'ror': 'https://ror.org/036trcv74', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I152031979']}], 'countries': ['CN'], 'is_corresponding': True, 'raw_author_name': 'Haoyuan Hong', 'raw_affiliation_strings': ['Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, Jiangsu 210023, China', 'Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210023, China', 'State Key Laboratory Cultivation Base of Geographical Environment Evolution, Jiangsu Province, Nanjing 210023, China'], 'affiliations': [{'raw_affiliation_string': 'Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application, Nanjing, Jiangsu 210023, China', 'institution_ids': ['https://openalex.org/I4210141657']}, {'raw_affiliation_string': 'State Key Laboratory Cultivation Base of Geographical Environment Evolution, Jiangsu Province, Nanjing 210023, China', 'institution_ids': []}, {'raw_affiliation_string': 'Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Nanjing 210023, China', 'institution_ids': ['https://openalex.org/I152031979']}]}], 'institution_assertions': [], 'countries_distinct_count': 2, 'institutions_distinct_count': 4, 'corresponding_author_ids': ['https://openalex.org/A5090537271', 'https://openalex.org/A5100742816'], 'corresponding_institution_ids': ['https://openalex.org/I4210141657', 'https://openalex.org/I152031979', 'https://openalex.org/I4210141657', 'https://openalex.org/I152031979'], 'apc_list': {'value': 3580, 'currency': 'USD', 'value_usd': 3580, 'provenance': 'doaj'}, 'apc_paid': None, 'fwci': 22.959, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 86, 'citation_normalized_percentile': {'value': 0.967511, 'is_in_top_1_percent': False, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 98, 'max': 99}, 'biblio': {'volume': '171', 'issue': None, 'first_page': '222', 'last_page': '233'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10535', 'display_name': 'Landslide Hazards and Risk Assessment', 'score': 1.0, 'subfield': {'id': 'https://openalex.org/subfields/2308', 'display_name': 'Management, Monitoring, Policy and Law'}, 'field': {'id': 'https://openalex.org/fields/23', 'display_name': 'Environmental Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T10535', 'display_name': 'Landslide Hazards and Risk Assessment', 'score': 1.0, 'subfield': {'id': 'https://openalex.org/subfields/2308', 'display_name': 'Management, Monitoring, Policy and Law'}, 'field': {'id': 'https://openalex.org/fields/23', 'display_name': 'Environmental Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T11512', 'display_name': 'Anomaly Detection in High-Dimensional Data', 'score': 0.9701, '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/T10930', 'display_name': 'Global Flood Risk Assessment and Management', 'score': 0.9639, 'subfield': {'id': 'https://openalex.org/subfields/2306', 'display_name': 'Global and Planetary Change'}, 'field': {'id': 'https://openalex.org/fields/23', 'display_name': 'Environmental Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/susceptibility-mapping', 'display_name': 'Susceptibility Mapping', 'score': 0.540822}, {'id': 'https://openalex.org/keywords/kernel-density-estimation', 'display_name': 'Kernel density estimation', 'score': 0.44949105}, {'id': 'https://openalex.org/keywords/kernel', 'display_name': 'Kernel (algebra)', 'score': 0.43250692}], 'concepts': [{'id': 'https://openalex.org/C186295008', 'wikidata': 'https://www.wikidata.org/wiki/Q167903', 'display_name': 'Landslide', 'level': 2, 'score': 0.9294108}, {'id': 'https://openalex.org/C12267149', 'wikidata': 'https://www.wikidata.org/wiki/Q282453', 'display_name': 'Support vector machine', 'level': 2, 'score': 0.80805093}, {'id': 'https://openalex.org/C2777212361', 'wikidata': 'https://www.wikidata.org/wiki/Q5127848', 'display_name': 'Class (philosophy)', 'level': 2, 'score': 0.5622216}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.5526986}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.4767174}, {'id': 'https://openalex.org/C50644808', 'wikidata': 'https://www.wikidata.org/wiki/Q192776', 'display_name': 'Artificial neural network', 'level': 2, 'score': 0.45031384}, {'id': 'https://openalex.org/C71134354', 'wikidata': 'https://www.wikidata.org/wiki/Q458825', 'display_name': 'Kernel density estimation', 'level': 3, 'score': 0.44949105}, {'id': 'https://openalex.org/C74193536', 'wikidata': 'https://www.wikidata.org/wiki/Q574844', 'display_name': 'Kernel (algebra)', 'level': 2, 'score': 0.43250692}, {'id': 'https://openalex.org/C124101348', 'wikidata': 'https://www.wikidata.org/wiki/Q172491', 'display_name': 'Data mining', 'level': 1, 'score': 0.42258656}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.38827366}, {'id': 'https://openalex.org/C127313418', 'wikidata': 'https://www.wikidata.org/wiki/Q1069', 'display_name': 'Geology', 'level': 0, 'score': 0.3714247}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.20210466}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.19748092}, {'id': 'https://openalex.org/C187320778', 'wikidata': 'https://www.wikidata.org/wiki/Q1349130', 'display_name': 'Geotechnical engineering', 'level': 1, 'score': 0.12134746}, {'id': 'https://openalex.org/C185429906', 'wikidata': 'https://www.wikidata.org/wiki/Q1130160', 'display_name': 'Estimator', 'level': 2, 'score': 0.07761049}, {'id': 'https://openalex.org/C114614502', 'wikidata': 'https://www.wikidata.org/wiki/Q76592', 'display_name': 'Combinatorics', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1016/j.catena.2018.07.012', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S44098145', 'display_name': 'CATENA', 'issn_l': '0341-8162', 'issn': ['0341-8162', '1872-6887'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320990', 'host_organization_name': 'Elsevier BV', 'host_organization_lineage': ['https://openalex.org/P4310320990'], 'host_organization_lineage_names': ['Elsevier BV'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [{'funder': 'https://openalex.org/F4320321001', 'funder_display_name': 'National Natural Science Foundation of China', 'award_id': '41431177'}, {'funder': 'https://openalex.org/F4320321001', 'funder_display_name': 'National Natural Science Foundation of China', 'award_id': '41601413'}, {'funder': 'https://openalex.org/F4320321001', 'funder_display_name': 'National Natural Science Foundation of China', 'award_id': '41471178'}], 'datasets': [], 'versions': [], 'referenced_works_count': 93, 'referenced_works': ['https://openalex.org/W1597413922', 'https://openalex.org/W1779768347', 'https://openalex.org/W1885868234', 'https://openalex.org/W1968546252', 'https://openalex.org/W1973106681', 'https://openalex.org/W1973249074', 'https://openalex.org/W1973637706', 'https://openalex.org/W1977069065', 'https://openalex.org/W1978831758', 'https://openalex.org/W1978972707', 'https://openalex.org/W1979408254', 'https://openalex.org/W1979486410', 'https://openalex.org/W1982324772', 'https://openalex.org/W1982623886', 'https://openalex.org/W1983423541', 'https://openalex.org/W1983676031', 'https://openalex.org/W1986643700', 'https://openalex.org/W1988816342', 'https://openalex.org/W2003049509', 'https://openalex.org/W2008504358', 'https://openalex.org/W2008811360', 'https://openalex.org/W2019957091', 'https://openalex.org/W2020062384', 'https://openalex.org/W2021436841', 'https://openalex.org/W2023203753', 'https://openalex.org/W2026563727', 'https://openalex.org/W2028124403', 'https://openalex.org/W2038393238', 'https://openalex.org/W2042229599', 'https://openalex.org/W2049271682', 'https://openalex.org/W2049402323', 'https://openalex.org/W2049466036', 'https://openalex.org/W2063987149', 'https://openalex.org/W2066685935', 'https://openalex.org/W2074872086', 'https://openalex.org/W2075226550', 'https://openalex.org/W2075812326', 'https://openalex.org/W2077292227', 'https://openalex.org/W2081345111', 'https://openalex.org/W2088730795', 'https://openalex.org/W2093630784', 'https://openalex.org/W2096961829', 'https://openalex.org/W2102531694', 'https://openalex.org/W2103540160', 'https://openalex.org/W2107108409', 'https://openalex.org/W2113746882', 'https://openalex.org/W2113972550', 'https://openalex.org/W2114630657', 'https://openalex.org/W2121089701', 'https://openalex.org/W2122447387', 'https://openalex.org/W2126815975', 'https://openalex.org/W2128040996', 'https://openalex.org/W2128056728', 'https://openalex.org/W2128964295', 'https://openalex.org/W2129905273', 'https://openalex.org/W2132870739', 'https://openalex.org/W2134955829', 'https://openalex.org/W2138612078', 'https://openalex.org/W2143192068', 'https://openalex.org/W2147555471', 'https://openalex.org/W2148470216', 'https://openalex.org/W2153635508', 'https://openalex.org/W2156909104', 'https://openalex.org/W2158698691', 'https://openalex.org/W2160197748', 'https://openalex.org/W2162384594', 'https://openalex.org/W2170473141', 'https://openalex.org/W2205158676', 'https://openalex.org/W2227288159', 'https://openalex.org/W2280221537', 'https://openalex.org/W2287278712', 'https://openalex.org/W2346466032', 'https://openalex.org/W2489814317', 'https://openalex.org/W2521530683', 'https://openalex.org/W2567854072', 'https://openalex.org/W2579180916', 'https://openalex.org/W2587950680', 'https://openalex.org/W2619767629', 'https://openalex.org/W2754252800', 'https://openalex.org/W2758350461', 'https://openalex.org/W2767099365', 'https://openalex.org/W2769668329', 'https://openalex.org/W2783350994', 'https://openalex.org/W2784075164', 'https://openalex.org/W2790826728', 'https://openalex.org/W2990650678', 'https://openalex.org/W3150256579', 'https://openalex.org/W3150525067', 'https://openalex.org/W319686199', 'https://openalex.org/W4240793115', 'https://openalex.org/W565971948', 'https://openalex.org/W5780726', 'https://openalex.org/W608000491'], 'related_works': ['https://openalex.org/W70668483', 'https://openalex.org/W4212972401', 'https://openalex.org/W3201652628', 'https://openalex.org/W3169474304', 'https://openalex.org/W3106883776', 'https://openalex.org/W2950100253', 'https://openalex.org/W2885606342', 'https://openalex.org/W2389676928', 'https://openalex.org/W2389287188', 'https://openalex.org/W2369104181'], 'abstract_inverted_index': {'Presence-absence': [0], 'methods': [1, 20, 44, 63, 81, 107, 122, 195, 212], 'are': [2, 82, 135, 151], 'widely-used': [3], 'data-driven': [4, 93], 'models': [5, 94], 'for': [6, 95, 157], 'landslide': [7, 39, 48, 57, 73, 89, 96, 146, 180, 225, 230, 246], 'susceptibility': [8, 97, 181, 201, 247], 'mapping.': [9, 248], 'Landslide': [10], 'absence': [11, 40, 74, 90, 231], 'data': [12, 17, 52, 75, 91, 232], 'included': [13], 'in': [14, 92, 144, 179, 245], 'the': [15, 61, 66, 69, 86, 167, 170, 176, 184, 191, 198, 209, 237], 'training': [16, 51], 'of': [18, 32, 38, 68, 88, 169, 200, 218, 239], 'presence-absence': [19, 80, 121, 194], 'is': [21, 233], 'usually': [22], 'not': [23], 'available': [24], 'and': [25, 35, 76, 119, 128, 137, 155, 162, 204], 'has': [26, 175, 190], 'to': [27, 55, 72, 139, 220, 235], 'be': [28, 100, 221], 'generated.': [29], 'In': [30, 102], 'consideration': [31], 'low': [33], 'availability': [34], 'uncertain': [36], 'quality': [37], 'data,': [41], 'many': [42], 'presence-only': [43, 62, 106, 211], 'which': [45, 241], 'simply': [46], 'use': [47], 'presence': [49], 'as': [50], 'were': [53], 'proposed': [54], 'map': [56], 'susceptibility.': [58, 147], 'However,': [59], 'whether': [60], 'can': [64, 99, 196], 'circumvent': [65], 'influence': [67], 'shortcomings': [70], 'inherent': [71], 'perform': [77], 'better': [78, 203, 206], 'than': [79, 208], 'worth': [83], 'studying.': [84], 'Moreover,': [85], 'effect': [87], 'mapping': [98, 145, 182], 'discussed.': [101], 'this': [103], 'study,': [104], 'two': [105, 120, 210], 'including': [108, 123], 'one-class': [109, 158, 188], 'support': [110, 130], 'vector': [111, 131], 'machine': [112, 132], '(one-class': [113], 'SVM),': [114], 'kernel': [115], 'density': [116], 'estimation': [117], '(KDE),': [118], 'artificial': [124], 'neural': [125], 'networks': [126], '(ANN)': [127], 'two-class': [129, 163, 173], '(two-class': [133], 'SVM)': [134], 'developed': [136], 'compared': [138], 'evaluate': [140], 'their': [141], 'respective': [142], 'performance': [143, 178, 207], 'The': [148, 229], 'AUC': [149], 'values': [150], '0.705,': [152], '0.720,': [153], '0.929,': [154], '0.951': [156], 'SVM,': [159, 164], 'KDE,': [160], 'ANN,': [161], 'respectively.': [165], 'From': [166], 'comparison': [168], 'four': [171, 185], 'methods,': [172, 186], 'SVM': [174, 189], 'best': [177], 'among': [183], 'while': [187], 'worst.': [192], 'Two': [193], 'constrain': [197, 236], 'over-prediction': [199, 238], 'value': [202], 'have': [205], 'since': [213], 'they': [214], 'classify': [215], 'less': [216], 'percentage': [217], 'areas': [219], 'susceptible': [222], 'with': [223], 'more': [224], 'occurrences': [226], 'located': [227], 'inside.': [228], 'proven': [234], 'models,': [240], 'makes': [242], 'it': [243], 'necessary': [244]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2883173869', 'counts_by_year': [{'year': 2024, 'cited_by_count': 11}, {'year': 2023, 'cited_by_count': 15}, {'year': 2022, 'cited_by_count': 20}, {'year': 2021, 'cited_by_count': 13}, {'year': 2020, 'cited_by_count': 17}, {'year': 2019, 'cited_by_count': 8}], 'updated_date': '2024-09-23T19:22:12.569714', 'created_date': '2018-08-03'}