{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:21:31Z","timestamp":1750306891198,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2012,10,7]],"date-time":"2012-10-07T00:00:00Z","timestamp":1349568000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2012,10,7]]},"DOI":"10.1145\/2382936.2382963","type":"proceedings-article","created":{"date-parts":[[2012,10,15]],"date-time":"2012-10-15T19:26:46Z","timestamp":1350329206000},"page":"210-217","update-policy":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Detecting ECG abnormalities via transductive transfer learning"],"prefix":"10.1145","author":[{"given":"Kang","family":"Li","sequence":"first","affiliation":[{"name":"SUNY at Buffalo, Buffalo"}]},{"given":"Nan","family":"Du","sequence":"additional","affiliation":[{"name":"SUNY at Buffalo, Buffalo"}]},{"given":"Aidong","family":"Zhang","sequence":"additional","affiliation":[{"name":"SUNY at Buffalo, Buffalo"}]}],"member":"320","published-online":{"date-parts":[[2012,10,7]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.0020154"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.92"},{"key":"e_1_3_2_1_3_1","first-page":"305","volume-title":"Learning","author":"Chang X.","year":"2009","unstructured":"X. Chang , Q. Zheng , and P. Lin . Cost-sensitive supported vector learning to rank . Learning , pages 305 -- 314 , 2009 . X. Chang, Q. Zheng, and P. Lin. Cost-sensitive supported vector learning to rank. Learning, pages 305--314, 2009."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"e_1_3_2_1_5_1","volume-title":"Electrocardiographic criteria of left ventricular hypertrophy in patients with morbid obesity. EARSeL eProceedings, 10(3):1--8","author":"Domienik-Karlowicz J.","year":"2011","unstructured":"J. Domienik-Karlowicz , B. Lichodziejewska , W. Lisik , M. Ciurzynski , P. Bienias , A. Chmura , and P. Pruszczyk . Electrocardiographic criteria of left ventricular hypertrophy in patients with morbid obesity. EARSeL eProceedings, 10(3):1--8 , 2011 . J. Domienik-Karlowicz, B. Lichodziejewska, W. Lisik, M. Ciurzynski, P. Bienias, A. Chmura, and P. Pruszczyk. Electrocardiographic criteria of left ventricular hypertrophy in patients with morbid obesity. EARSeL eProceedings, 10(3):1--8, 2011."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/312129.312220"},{"key":"e_1_3_2_1_7_1","volume-title":"Kluwer","author":"Eskin E.","year":"2002","unstructured":"E. Eskin , A. Arnold , M. Prerau , L. Portnoy , and S. Stolfo . A Geometric Framework for Unsupervised Anomaly Detection: Detecting Intrusions in Unlabeled Data, volume 6, page 20 . Kluwer , 2002 . E. Eskin, A. Arnold, M. Prerau, L. Portnoy, and S. Stolfo. A Geometric Framework for Unsupervised Anomaly Detection: Detecting Intrusions in Unlabeled Data, volume 6, page 20. Kluwer, 2002."},{"key":"e_1_3_2_1_8_1","volume-title":"Covariate Shift by Kernel Mean Matching, page 131\u00ef&pound;&iexcl;C160","author":"Gretton A.","year":"2009","unstructured":"A. Gretton , A. J. Smola , J. Huang , M. Schmittfull , K. M. Borgwardt , and B. Sch?lkopf. Covariate Shift by Kernel Mean Matching, page 131\u00ef&pound;&iexcl;C160 . MIT Press , 2009 . A. Gretton, A. J. Smola, J. Huang, M. Schmittfull, K. M. Borgwardt, and B. Sch?lkopf. Covariate Shift by Kernel Mean Matching, page 131\u00ef&pound;&iexcl;C160. MIT Press, 2009."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1456625.1456638"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(03)00003-5"},{"key":"e_1_3_2_1_11_1","first-page":"601","article-title":"Correcting sample selection bias by unlabeled data","volume":"19","author":"Huang J.","year":"2006","unstructured":"J. Huang , A. Smola , A. Gretton , K. Borgwardt , and B. Schoelkopf . Correcting sample selection bias by unlabeled data . Distribution , 19 : 601 -- 608 , 2006 . J. Huang, A. Smola, A. Gretton, K. Borgwardt, and B. Schoelkopf. Correcting sample selection bias by unlabeled data. Distribution, 19:601--608, 2006.","journal-title":"Distribution"},{"key":"e_1_3_2_1_12_1","first-page":"169","volume-title":"Making large-scale support vector machine learning practical","author":"Joachims T.","year":"1999","unstructured":"T. Joachims . Making large-scale support vector machine learning practical , pages 169 -- 184 . MIT Press , Cambridge, MA , 1999 . T. Joachims. Making large-scale support vector machine learning practical, pages 169--184. MIT Press, Cambridge, MA, 1999."},{"key":"e_1_3_2_1_13_1","first-page":"200","volume-title":"Most","author":"Joachims T.","year":"1999","unstructured":"T. Joachims . Transductive inference for text classification using support vector machines . Most , pages 200 -- 209 , 1999 . T. Joachims. Transductive inference for text classification using support vector machines. Most, pages 200--209, 1999."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","DOI":"10.1002\/9780470316801","volume-title":"Finding Groups in Data: An Introduction to Cluster Analysis","author":"Kaufman L.","year":"1990","unstructured":"L. Kaufman and P. J. Rousseeuw . Finding Groups in Data: An Introduction to Cluster Analysis , volume 39 . John Wiley Sons , 1990 . L. Kaufman and P. J. Rousseeuw. Finding Groups in Data: An Introduction to Cluster Analysis, volume 39. John Wiley Sons, 1990."},{"issue":"1","key":"e_1_3_2_1_15_1","first-page":"46","article-title":"Mixture of expert agents for handling imbalanced data sets","volume":"1","author":"Kotsiantis S. B.","year":"2003","unstructured":"S. B. Kotsiantis and P. E. Pintelas . Mixture of expert agents for handling imbalanced data sets . Annals of Mathematics Computing and Teleinformatics , 1 ( 1 ): 46 -- 55 , 2003 . S. B. Kotsiantis and P. E. Pintelas. Mixture of expert agents for handling imbalanced data sets. Annals of Mathematics Computing and Teleinformatics, 1(1):46--55, 2003.","journal-title":"Annals of Mathematics Computing and Teleinformatics"},{"key":"e_1_3_2_1_16_1","first-page":"179","volume-title":"Training","author":"Kubat M.","year":"1997","unstructured":"M. Kubat and S. Matwin . Addressing the curse of imbalanced training sets: one-sided selection . Training , pages 179 -- 186 , 1997 . M. Kubat and S. Matwin. Addressing the curse of imbalanced training sets: one-sided selection. Training, pages 179--186, 1997."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/11494683_35"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/51.932724"},{"issue":"1","key":"e_1_3_2_1_19_1","first-page":"9","article-title":"Innovation detection based on user-interest ontology of blog community","volume":"4273","author":"Nakatsuji M.","year":"2006","unstructured":"M. Nakatsuji , Y. Miyoshi , and Y. Otsuka . Innovation detection based on user-interest ontology of blog community . Innovation , 4273 ( 1 ): 9 -- 11 , 2006 . M. Nakatsuji, Y. Miyoshi, and Y. Otsuka. Innovation detection based on user-interest ontology of blog community. Innovation, 4273(1):9--11, 2006.","journal-title":"Innovation"},{"key":"e_1_3_2_1_20_1","first-page":"622","article-title":"Resting heart rate","volume":"33","author":"Palatini P.","year":"1999","unstructured":"P. Palatini . Resting heart rate . Heart , 33 : 622 -- 625 , 1999 . P. Palatini. Resting heart rate. Heart, 33:622--625, 1999.","journal-title":"Heart"},{"key":"e_1_3_2_1_21_1","volume-title":"International Journal","author":"Patra D.","year":"2010","unstructured":"D. Patra , M. K. Das , and S. Pradhan . Integration of fcm, pca and neural networks for classification of ecg arrhythmias . International Journal , (February), 2010 . D. Patra, M. K. Das, and S. Pradhan. Integration of fcm, pca and neural networks for classification of ecg arrhythmias. International Journal, (February), 2010."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646121"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/335191.335437"},{"key":"e_1_3_2_1_24_1","volume-title":"Engineering","author":"G. Ranganathan and K. College","year":"2010","unstructured":"G. Ranganathan and K. College . Ecg signal processing using dyadic wavelet for mental stress assessment . Engineering , 2010 . G. Ranganathan and K. College. Ecg signal processing using dyadic wavelet for mental stress assessment. Engineering, 2010."},{"key":"e_1_3_2_1_25_1","volume-title":"Citeseer","author":"Ren J.","year":"2008","unstructured":"J. Ren , X. Shi , W. Fan , and P. S. Yu . Type-independent correction of sample selection bias via structural discovery and re-balancing, page 565\u00e2\u0102\u015e576 . Citeseer , 2008 . J. Ren, X. Shi, W. Fan, and P. S. Yu. Type-independent correction of sample selection bias via structural discovery and re-balancing, page 565\u00e2\u0102\u015e576. Citeseer, 2008."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750264965"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/1180639.1180727"},{"key":"e_1_3_2_1_28_1","first-page":"10","volume-title":"A New Method of Text Categorization on Imbalanced Datasets","author":"L. I.","year":"2008","unstructured":"L. I. Xin-fu, Y. U. Yan , and Y. I. N. Peng . A New Method of Text Categorization on Imbalanced Datasets , pages 10 -- 13 . 2008 . L. I. Xin-fu, Y. U. Yan, and Y. I. N. Peng. A New Method of Text Categorization on Imbalanced Datasets, pages 10--13. 2008."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-01307-2_84"},{"issue":"2","key":"e_1_3_2_1_30_1","first-page":"310","article-title":"An effective clustering-based approach for outlier detection","volume":"28","author":"Zoubi B. A.","year":"2009","unstructured":"B. A. Zoubi . An effective clustering-based approach for outlier detection . European Journal of Scientific Research , 28 ( 2 ): 310 -- 316 , 2009 . B. A. Zoubi. An effective clustering-based approach for outlier detection. European Journal of Scientific Research, 28(2):310--316, 2009.","journal-title":"European Journal of Scientific Research"}],"event":{"name":"BCB' 12: ACM International Conference on Bioinformatics, Computational Biology and Biomedicine","sponsor":["SIGBio ACM Special Interest Group on Bioinformatics"],"location":"Orlando Florida","acronym":"BCB' 12"},"container-title":["Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine"],"original-title":[],"link":[{"URL":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/dl.acm.org\/doi\/10.1145\/2382936.2382963","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/dl.acm.org\/doi\/pdf\/10.1145\/2382936.2382963","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T08:18:53Z","timestamp":1750234733000},"score":1,"resource":{"primary":{"URL":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/dl.acm.org\/doi\/10.1145\/2382936.2382963"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,10,7]]},"references-count":30,"alternative-id":["10.1145\/2382936.2382963","10.1145\/2382936"],"URL":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/doi.org\/10.1145\/2382936.2382963","relation":{},"subject":[],"published":{"date-parts":[[2012,10,7]]},"assertion":[{"value":"2012-10-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}