{"id":"https://openalex.org/W3143799117","doi":"https://doi.org/10.15439/2016f122","title":"Utilizing an ensemble of SVMs with GMM voting-based mechanism in predicting dangerous seismic events in active coal mines","display_name":"Utilizing an ensemble of SVMs with GMM voting-based mechanism in predicting dangerous seismic events in active coal mines","publication_year":2016,"publication_date":"2016-10-02","ids":{"openalex":"https://openalex.org/W3143799117","doi":"https://doi.org/10.15439/2016f122","mag":"3143799117"},"language":"en","primary_location":{"id":"doi:10.15439/2016f122","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2016f122","pdf_url":"https://annals-csis.org/proceedings/2016/pliks/122.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://annals-csis.org/proceedings/2016/pliks/122.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087149787","display_name":"\u0141ukasz Podlodowski","orcid":"https://orcid.org/0000-0003-0789-3844"},"institutions":[{"id":"https://openalex.org/I4210139285","display_name":"National Information Processing Institute","ror":"https://ror.org/040fc1e14","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210139285"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"\u0141ukasz Podlodowski","raw_affiliation_strings":["National Information Processing Institute al. Niepodlegoci 188b 00-608 Warsaw, Poland","National Information Processing Institute al. Niepodleg\u0142o\u015bci 188b 00-608 Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"National Information Processing Institute al. Niepodlegoci 188b 00-608 Warsaw, Poland","institution_ids":["https://openalex.org/I4210139285"]},{"raw_affiliation_string":"National Information Processing Institute al. Niepodleg\u0142o\u015bci 188b 00-608 Warsaw, Poland","institution_ids":["https://openalex.org/I4210139285"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087149787"],"corresponding_institution_ids":["https://openalex.org/I4210139285"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51710262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"235","last_page":"238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13619","display_name":"Geotechnical and Geomechanical Engineering","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13045","display_name":"Industrial Engineering and Technologies","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.827630877494812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6211989521980286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.610105037689209},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5967221260070801},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5749616622924805},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5513137578964233},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.49859070777893066},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4772072434425354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4733467400074005},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4371550977230072},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.4278873801231384},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.4246857762336731}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.827630877494812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6211989521980286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.610105037689209},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5967221260070801},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5749616622924805},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5513137578964233},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.49859070777893066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4772072434425354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4733467400074005},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4371550977230072},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.4278873801231384},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4246857762336731},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.15439/2016f122","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2016f122","pdf_url":"https://annals-csis.org/proceedings/2016/pliks/122.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:abe510a80a31461c926510e470fa2955","is_oa":true,"landing_page_url":"https://doaj.org/article/abe510a80a31461c926510e470fa2955","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Annals of computer science and information systems, Vol 8, Pp 235-238 (2016)","raw_type":"article"},{"id":"mag:2523845436","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/fedcsis/fedcsis2016.html#Podlodowski16","pdf_url":null,"source":{"id":"https://openalex.org/S4306418416","display_name":"Federated Conference on Computer Science and Information Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Federated Conference on Computer Science and Information Systems","raw_type":null}],"best_oa_location":{"id":"doi:10.15439/2016f122","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2016f122","pdf_url":"https://annals-csis.org/proceedings/2016/pliks/122.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3143799117.pdf","grobid_xml":"https://content.openalex.org/works/W3143799117.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1999386820","https://openalex.org/W2041664661","https://openalex.org/W2049669062","https://openalex.org/W2076723282","https://openalex.org/W2118286367","https://openalex.org/W2128103404","https://openalex.org/W2153635508","https://openalex.org/W2171033594","https://openalex.org/W2247927379","https://openalex.org/W2479224257","https://openalex.org/W2623293810","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W3121841074","https://openalex.org/W2055572829","https://openalex.org/W3036613766","https://openalex.org/W1894159578","https://openalex.org/W2807400035","https://openalex.org/W1957831838","https://openalex.org/W3125086856","https://openalex.org/W3024801493","https://openalex.org/W2913388591","https://openalex.org/W3007653948"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,13,39,63,128,138],"application":[4],"of":[5,15,23,37,41,50,68,74,88,94,102,124,133,143],"a":[6,35,54,86],"Gaussian":[7,75],"Mixture":[8],"Model-based":[9],"voting":[10],"mechanism":[11],"for":[12,53,91],"ensemble":[14,40,135],"Support":[16],"Vector":[17],"Machines":[18],"(SVMs)":[19],"to":[20,116],"the":[21,48,51,60,66,69,72,103,107,113,118,122,131,134,141,144],"problem":[22,119,146],"predicting":[24],"dangerous":[25],"seismic":[26],"events":[27],"in":[28,65,106,130,140],"active":[29],"coal":[30],"mines.":[31],"The":[32,82],"author":[33,83],"proposes":[34,85],"method":[36,87],"preparing":[38],"SVMs":[42],"with":[43,98],"different":[44],"parameters":[45],"and":[46,137],"using":[47,112],"\"wisdom":[49],"crowd\"":[52],"classification":[55,70,109,145],"problem.":[56,110],"Experiments":[57],"performed":[58],"during":[59],"research":[61],"showed":[62,127],"improvement":[64,139],"quality":[67,142],"after":[71],"mixture":[73],"distributions":[76],"was":[77],"applied":[78],"as":[79],"votes":[80],"distribution.":[81],"also":[84],"data":[89],"selection":[90],"long":[92],"sequences":[93],"measurement":[95],"arranged":[96],"chronologically":[97],"highly":[99],"unbalanced":[100],"occurrence":[101],"positive":[104],"class":[105],"twoclass":[108],"Finally,":[111],"proposed":[114],"model":[115],"solve":[117],"defined":[120],"by":[121],"organizers":[123],"AAIA'16":[125],"DM":[126],"increase":[129],"stability":[132],"classifier":[136],"solution.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}