Imbalanced text classification on host pathogen protein-protein interaction documents
暂无分享,去创建一个
[1] B. Chromy,et al. Host–pathogen interactions: a proteomic view , 2005, Expert review of proteomics.
[2] Daniel Berleant,et al. Mining MEDLINE: Abstracts, Sentences, or Phrases? , 2001, Pacific Symposium on Biocomputing.
[3] Mario Molinara,et al. Facing Imbalanced Classes through Aggregation of Classifiers , 2007, 14th International Conference on Image Analysis and Processing (ICIAP 2007).
[4] C. Lee Giles,et al. Active learning for class imbalance problem , 2007, SIGIR.
[5] Yoram Singer,et al. Context-sensitive learning methods for text categorization , 1996, SIGIR '96.
[6] Qiang Yang,et al. Dynamic Refinement of Feature Weights Using Quantitative Introspective Learning , 1999, IJCAI.
[7] David D. Lewis,et al. A comparison of two learning algorithms for text categorization , 1994 .
[8] Xue-wen Chen,et al. FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems , 2008, KDD.
[9] Bei Yu,et al. An evaluation of text classification methods for literary study , 2008, Lit. Linguistic Comput..
[10] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[11] Ting Yu,et al. A Hierarchical VQSVM for Imbalanced Data Sets , 2007, 2007 International Joint Conference on Neural Networks.
[12] Cheng G. Weng,et al. A Data Complexity Analysis on Imbalanced Datasets and an Alternative Imbalance Recovering Strategy , 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06).
[13] Chandrika Kamath,et al. Feature selection in scientific applications , 2004, KDD.
[14] Andreas S. Weigend,et al. A neural network approach to topic spotting , 1995 .
[15] Manoranjan Dash,et al. An Evaluation of Progressive Sampling for Imbalanced Data Sets , 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).
[16] Cathy H. Wu,et al. The Universal Protein Resource (UniProt): an expanding universe of protein information , 2005, Nucleic Acids Res..
[17] George Karypis,et al. A Feature Weight Adjustment Algorithm for Document Categorization , 2000 .
[18] Olivier Bodenreider,et al. The Unified Medical Language System (UMLS): integrating biomedical terminology , 2004, Nucleic Acids Res..
[19] Hongfang Liu,et al. A Study of Text Categorization for Model Organism Databases , 2004, HLT-NAACL 2004.
[20] Yue-Shi Lee,et al. Investigating the Effect of Sampling Methods for Imbalanced Data Distributions , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.
[21] Yiming Yang,et al. A Comparative Study on Feature Selection in Text Categorization , 1997, ICML.
[22] By Bei,et al. An Evaluation of Text Classification Methods for Literary Study , 2022 .
[23] Martin Romacker,et al. Creating Knowledge Repositories from Biomedical Reports: The MEDSYNDIKATE Text Mining System , 2001, Pacific Symposium on Biocomputing.
[24] Hongfang Liu,et al. Document Classification for Mining Host Pathogen Protein-Protein Interactions , 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.
[25] C. Lee Giles,et al. Learning on the border: active learning in imbalanced data classification , 2007, CIKM '07.
[26] Sanjay Chawla,et al. Using Significant, Positively Associated and Relatively Class Correlated Rules for Associative Classification of Imbalanced Datasets , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[27] Anand Kumar,et al. Text mining and ontologies in biomedicine: Making sense of raw text , 2005, Briefings Bioinform..
[28] Zhi-Hua Zhou,et al. The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study , 2006, Sixth International Conference on Data Mining (ICDM'06).
[29] Yiming Yang,et al. An example-based mapping method for text categorization and retrieval , 1994, TOIS.
[30] Sheng Yang He,et al. A Bacterial Virulence Protein Suppresses Host Innate Immunity to Cause Plant Disease , 2006, Science.
[31] Taghi M. Khoshgoftaar,et al. Mining Data with Rare Events: A Case Study , 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).
[32] Anca L. Ralescu,et al. The Effect of Imbalanced Data Class Distribution on Fuzzy Classifiers - Experimental Study , 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..
[33] Silvio Romero de Lemos Meira,et al. Comparative Study of Clustering Techniques for the Organization of Software Repositories , 2007 .
[34] Xingquan Zhu,et al. Lazy Bagging for Classifying Imbalanced Data , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[35] George Forman,et al. An Extensive Empirical Study of Feature Selection Metrics for Text Classification , 2003, J. Mach. Learn. Res..