{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T08:53:03Z","timestamp":1743065583181,"version":"3.40.3"},"publisher-location":"Cham","reference-count":38,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319214030"},{"type":"electronic","value":"9783319214047"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-21404-7_5","type":"book-chapter","created":{"date-parts":[[2015,6,18]],"date-time":"2015-06-18T14:56:54Z","timestamp":1434639414000},"page":"60-74","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["An Empirical Multi-classifier for Coffee Rust Detection in Colombian Crops"],"prefix":"10.1007","author":[{"given":"David Camilo","family":"Corrales","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Apolinar","family":"Figueroa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Agapito","family":"Ledezma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan Carlos","family":"Corrales","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,6,19]]},"reference":[{"key":"5_CR1","unstructured":"Cristancho, M., Rozo, Y., Escobar, C., Rivillas, C., Gait\u00e1n, \u00c1.: Razas de roya (2012)"},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Rivillas-Osorio, C., Serna-Giraldo, C., Cristancho-Ardila, M., Gait\u00e1n-Bustamante, A.: La roya del cafeto en Colombia, impacto, manejo y costos de control. Cenicaf\u00e9 (2011)","DOI":"10.38141\/10781\/036"},{"key":"5_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1007\/978-3-642-13025-0_36","volume-title":"Trends in Applied Intelligent Systems","author":"O Luaces","year":"2010","unstructured":"Luaces, O., Rodrigues, L.H.A., Alves Meira, C.A., Quevedo, J.R., Bahamonde, A.: Viability of an alarm predictor for coffee rust disease using interval regression. In: Garc\u00eda-Pedrajas, N., Herrera, F., Fyfe, C., Ben\u00edtez, J.M., Ali, M. (eds.) IEA\/AIE 2010, Part II. LNCS, vol. 6097, pp. 337\u2013346. Springer, Heidelberg (2010)"},{"key":"5_CR4","first-page":"14276","volume":"38","author":"O Luaces","year":"2011","unstructured":"Luaces, O., Rodrigues, L.H.A., Alves Meira, C.A., Bahamonde, A.: Using nondeterministic learners to alert on coffee rust disease. Expert Systems with Applications 38, 14276\u201314283 (2011)","journal-title":"Expert Systems with Applications"},{"key":"5_CR5","doi-asserted-by":"crossref","unstructured":"Cintra, M.E., Meira, C.A.A., Monard, M.C., Camargo, H.A., Rodrigues, L.H.A.: The use of fuzzy decision trees for coffee rust warning in Brazilian crops. In: 2011 11th International Conference on Intelligent Systems Design and Applications (ISDA), pp. 1347\u20131352 (2011)","DOI":"10.1109\/ISDA.2011.6121847"},{"key":"5_CR6","unstructured":"P\u00e9rez-Ariza, C.B., Nicholson, A.E., Flores, M.J.: Prediction of Coffee Rust Disease Using Bayesian Networks. In: Andr\u00e9s Cano, MG.-O., Nielsen, T.D. (eds.) The Sixth European Workshop on Probabilistic Graphical Models. DECSAI, University of Granada, Granada (Spain) (2012)"},{"key":"5_CR7","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1590\/S0100-204X2009000300003","volume":"44","author":"CAA Meira","year":"2009","unstructured":"Meira, C.A.A., Rodrigues, L.H.A., Moraes, S.: Modelos de alerta para o controle da ferrugem-do-cafeeiro em lavouras com alta carga pendente. Pesquisa Agropecu\u00e1ria Brasileira 44, 233\u2013242 (2009)","journal-title":"Pesquisa Agropecu\u00e1ria Brasileira"},{"key":"5_CR8","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1590\/S1982-56762008000200005","volume":"33","author":"C Meira","year":"2008","unstructured":"Meira, C., Rodrigues, L., Moraes, S.: An\u00e1lise da epidemia da ferrugem do cafeeiro com \u00e1rvore de decis\u00e3o. Tropical Plant Pathology 33, 114\u2013124 (2008)","journal-title":"Tropical Plant Pathology"},{"key":"5_CR9","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1016\/j.neucom.2012.07.026","volume":"99","author":"L Li","year":"2013","unstructured":"Li, L., Zou, B., Hu, Q., Wu, X., Yu, D.: Dynamic classifier ensemble using classification confidence. Neurocomputing 99, 581\u2013591 (2013)","journal-title":"Neurocomputing"},{"key":"5_CR10","first-page":"35","volume":"3","author":"R Ranawana","year":"2006","unstructured":"Ranawana, R., Palade, V.: Multi-Classifier Systems: Review and a roadmap for developers. Int. J. Hybrid Intell. Syst. 3, 35\u201361 (2006)","journal-title":"Int. J. Hybrid Intell. Syst."},{"key":"5_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/3-540-45428-4_1","volume-title":"Multiple Classifier Systems","author":"J Ghosh","year":"2002","unstructured":"Ghosh, J.: Multiclassifier systems: back to the future. In: Roli, F., Kittler, J. (eds.) MCS 2002. LNCS, vol. 2364, pp. 1\u201315. Springer, Heidelberg (2002)"},{"key":"5_CR12","doi-asserted-by":"crossref","first-page":"9","DOI":"10.18046\/syt.v12i29.1802","volume":"12","author":"DC Corrales","year":"2014","unstructured":"Corrales, D.C., Ledezma, A., Pe\u00f1a, A., Hoyos, J., Figueroa, A., Corrales, J.C.: A new dataset for coffee rust detection in Colombian crops base on classifiers. Sistemas y Telem\u00e1tica 12, 9\u201322 (2014)","journal-title":"Sistemas y Telem\u00e1tica"},{"key":"5_CR13","first-page":"97","volume":"63","author":"R Jain","year":"2009","unstructured":"Jain, R., Minz, S.: Ramasubramanian: Machine Learning for Forewarning Crop Diseases. Journal of the Indian Society of Agricultural Statistics 63, 97\u2013107 (2009)","journal-title":"Journal of the Indian Society of Agricultural Statistics"},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"Korada, N.K., Kumar, N.S.P., Deekshitulu, Y.: Implementation of Naive Bayesian Classifier and Ada-Boost Algorithm Using Maize Expert System. International Journal of Information Sciences and Techniques (IJIST) 2 (2012)","DOI":"10.5121\/ijist.2012.2305"},{"key":"5_CR15","unstructured":"Mitchell, T.: Machine learning. McGraw-Hill (1997)"},{"key":"5_CR16","unstructured":"Poh, H.L.: A neural network approach for marketing strategies research and decision support, vol. Ph.D. Thesis. Stanford University (1991)"},{"key":"5_CR17","unstructured":"Haykin, S.S.: Neural networks: a comprehensive foundation. Prentice Hall (2003)"},{"key":"5_CR18","doi-asserted-by":"publisher","first-page":"4990","DOI":"10.1016\/j.eswa.2010.09.152","volume":"38","author":"A Suhasini","year":"2011","unstructured":"Suhasini, A., Palanivel, S., Ramalingam, V.: Multimodel decision support system for psychiatry problem. Expert Systems with Applications 38, 4990\u20134997 (2011)","journal-title":"Expert Systems with Applications"},{"key":"5_CR19","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/j.oceaneng.2010.09.015","volume":"38","author":"L Bonakdar","year":"2011","unstructured":"Bonakdar, L., Etemad-Shahidi, A.: Predicting wave run-up on rubble-mound structures using M5 model tree. Ocean Engineering 38, 111\u2013118 (2011)","journal-title":"Ocean Engineering"},{"key":"5_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-3264-1","volume-title":"The Nature of Statistical Learning Theory","author":"V Vapnik","year":"2000","unstructured":"Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New York (2000)"},{"key":"5_CR21","doi-asserted-by":"publisher","first-page":"988","DOI":"10.1109\/72.788640","volume":"10","author":"VN Vapnik","year":"1999","unstructured":"Vapnik, V.N.: An overview of statistical learning theory. IEEE Transactions on Neural Networks 10, 988\u2013999 (1999)","journal-title":"IEEE Transactions on Neural Networks"},{"key":"5_CR22","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.knosys.2014.01.018","volume":"59","author":"S Balasundaram","year":"2014","unstructured":"Balasundaram, S., Gupta, D.: Training Lagrangian twin support vector regression via unconstrained convex minimization. Knowledge-Based Systems 59, 85\u201396 (2014)","journal-title":"Knowledge-Based Systems"},{"key":"5_CR23","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1007\/s100440200011","volume":"5","author":"M Skurichina","year":"2002","unstructured":"Skurichina, M., Duin, R.P.: Bagging, boosting and the random subspace method for linear classifiers. Pattern Analysis & Applications 5, 121\u2013135 (2002)","journal-title":"Pattern Analysis & Applications"},{"key":"5_CR24","first-page":"123","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman, L.: Bagging Predictors. Machine Learning 24, 123\u2013140 (1996)","journal-title":"Machine Learning"},{"key":"5_CR25","doi-asserted-by":"publisher","first-page":"10916","DOI":"10.1016\/j.eswa.2012.03.033","volume":"39","author":"AI Marqu\u00e9s","year":"2012","unstructured":"Marqu\u00e9s, A.I., Garc\u00eda, V., S\u00e1nchez, J.S.: Two-level classifier ensembles for credit risk assessment. Expert Systems with Applications 39, 10916\u201310922 (2012)","journal-title":"Expert Systems with Applications"},{"key":"5_CR26","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1109\/34.709601","volume":"20","author":"H Tin Kam","year":"1998","unstructured":"Tin Kam, H.: The random subspace method for constructing decision forests. IEEE Transactions on Pattern Analysis and Machine Intelligence 20, 832\u2013844 (1998)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"5_CR27","doi-asserted-by":"publisher","first-page":"1619","DOI":"10.1109\/TPAMI.2006.211","volume":"28","author":"JJ Rodriguez","year":"2006","unstructured":"Rodriguez, J.J., Kuncheva, L.I., Alonso, C.J.: Rotation Forest: A New Classifier Ensemble Method. IEEE Transactions on Pattern Analysis and Machine Intelligence 28, 1619\u20131630 (2006)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"5_CR28","doi-asserted-by":"publisher","first-page":"4097","DOI":"10.1016\/j.ins.2009.08.025","volume":"179","author":"E Menahem","year":"2009","unstructured":"Menahem, E., Rokach, L., Elovici, Y.: Troika \u2013 An improved stacking schema for classification tasks. Information Sciences 179, 4097\u20134122 (2009)","journal-title":"Information Sciences"},{"key":"5_CR29","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1023\/A:1007652114878","volume":"41","author":"J Gama","year":"2000","unstructured":"Gama, J., Brazdil, P.: Cascade Generalization. Machine Learning 41, 315\u2013343 (2000)","journal-title":"Machine Learning"},{"key":"5_CR30","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1098\/rspl.1879.0061","volume":"29","author":"D McAlister","year":"1879","unstructured":"McAlister, D.: The Law of the Geometric Mean. Proceedings of the Royal Society of London 29, 367\u2013376 (1879)","journal-title":"Proceedings of the Royal Society of London"},{"key":"5_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/00401706.1969.10490657","volume":"11","author":"F Grubbs","year":"1969","unstructured":"Grubbs, F.: Procedures for Detecting Outlying Observations in Samples. Technometrics 11, 1\u201321 (1969)","journal-title":"Technometrics"},{"key":"5_CR32","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/978-0-387-88615-2_3","volume-title":"Data Mining in Agriculture","author":"A Mucherino","year":"2009","unstructured":"Mucherino, A., Papajorgji, P., Pardalos, P.: Clustering by k-means. In: Du, D.-Z. (ed.) Data Mining in Agriculture, vol. 30, pp. 47\u201356. Springer, New York (2009)"},{"key":"5_CR33","volume-title":"Aprendizaje autom\u00e1tico: conceptos b\u00e1sicos y avanzados: aspectos pr\u00e1cticos utilizando el software Weka","author":"BS Araujo","year":"2006","unstructured":"Araujo, B.S.: Aprendizaje autom\u00e1tico: conceptos b\u00e1sicos y avanzados: aspectos pr\u00e1cticos utilizando el software Weka. Pearson Prentice Hall, Espa\u00f1a (2006)"},{"key":"5_CR34","unstructured":"Quinlan, J.R.: C4.5: programs for machine learning. Morgan Kaufmann Publishers Inc (1993)"},{"key":"5_CR35","unstructured":"Kotsiantis, S.B.: Supervised machine learning: a review of classification techniques. In: Proceedings of the 2007 Conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies, pp. 3\u201324. IOS Press (2007)"},{"key":"5_CR36","first-page":"74","volume":"2","author":"H Bhavsar","year":"2012","unstructured":"Bhavsar, H., Ganatra, A.: A Comparative Study of Training Algorithms for Supervised Machine Learning. International Journal of Soft Computing and Engineering (IJSCE) 2, 74\u201381 (2012)","journal-title":"International Journal of Soft Computing and Engineering (IJSCE)"},{"key":"5_CR37","doi-asserted-by":"crossref","unstructured":"Corrales, D.C., Figueroa, A., Corrales, J.C.: Toward detecting crop diseases and pest by supervised learning. Revista Ingenier\u00eda y Universidad 19 (2015)","DOI":"10.11144\/Javeriana.iyu19-1.tdcd"},{"key":"5_CR38","first-page":"317","volume":"1","author":"J Schlimmer","year":"1986","unstructured":"Schlimmer, J., Granger Jr, R.: Incremental learning from noisy data. Machine Learning 1, 317\u2013354 (1986)","journal-title":"Machine Learning"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications -- ICCSA 2015"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-21404-7_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,9]],"date-time":"2024-06-09T15:52:30Z","timestamp":1717948350000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-21404-7_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319214030","9783319214047"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-21404-7_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"19 June 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}