Cytological image analysis with firefly nuclei detection and hybrid one-class classification decomposition
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[1] Ryszard S. Choraś. Image Processing and Communications Challenges 3 - 3rd International Conference, IP&C 2011, Proceedings , 2011, IP&C.
[2] Yuhuan Zhou,et al. Radio Transmitter Verification Based on Elastic Sparsity Preserving Projections and SVDD , 2011 .
[3] Wei Chu,et al. Multi-category Classification by Soft-Max Combination of Binary Classifiers , 2003, Multiple Classifier Systems.
[4] HarmanMark,et al. A Theoretical and Empirical Study of Search-Based Testing , 2010 .
[5] Marek Kowal,et al. COMPUTER-AIDED DIAGNOSIS OF BREAST CANCER USING GAUSSIAN MIXTURE CYTOLOGICAL IMAGE SEGMENTATION 2 , 2011 .
[6] David M. J. Tax,et al. Pruned Random Subspace Method for One-Class Classifiers , 2011, MCS.
[7] Jacek M. Leski,et al. Application of entropy and energy measures of fuzziness to processing of ECG signal , 1998, Fuzzy Sets Syst..
[8] Krzysztof A. Cyran,et al. Advances in Intelligent and Soft Computing , 2009 .
[9] Ryszard Tadeusiewicz,et al. Texture analysis in perfusion images of prostate cancer—A case study , 2010, Int. J. Appl. Math. Comput. Sci..
[10] Adam Krzyzak,et al. Classification of Breast Cancer Malignancy Using Cytological Images of Fine Needle Aspiration Biopsies , 2008, Int. J. Appl. Math. Comput. Sci..
[11] Lorenzo Moreno Ruiz,et al. Cytological image analysis with a genetic fuzzy finite state machine , 2005, Comput. Methods Programs Biomed..
[12] Marek Kowal,et al. Automatic Breast Cancer Diagnosis Based on K-Means Clustering and Adaptive Thresholding Hybrid Segmentation , 2011, IP&C.
[13] Marek Kowal,et al. COMPUTER-AIDED DIAGNOSIS OF BREAST CANCER USING GAUSSIAN MIXTURE CYTOLOGICAL IMAGE SEGMENTATION , 2011 .
[14] James C. Bezdek,et al. Decision templates for multiple classifier fusion: an experimental comparison , 2001, Pattern Recognit..
[15] Malik Yousef,et al. One-class document classification via Neural Networks , 2007, Neurocomputing.
[16] Ethem Alpaydin,et al. Introduction to machine learning , 2004, Adaptive computation and machine learning.
[17] Rached Tourki,et al. Automated Breast Cancer Diagnosis Based on GVF-Snake Segmentation, Wavelet Features Extraction and Fuzzy Classification , 2009, J. Signal Process. Syst..
[18] C. M. Hill. Computer-aided diagnosis. , 1992, Dental update.
[19] Boguslaw Cyganek. One-Class Support Vector Ensembles for Image Segmentation and Classification , 2011, Journal of Mathematical Imaging and Vision.
[20] Antoine Geissbühler,et al. Novelty Detection using One-class Parzen Density Estimator. An Application to Surveillance of Nosocomial Infections , 2008, MIE.
[21] Bartosz Krawczyk,et al. Classifier ensemble for an effective cytological image analysis , 2013, Pattern Recognit. Lett..
[22] Bartosz Krawczyk,et al. Diversity in Ensembles for One-Class Classification , 2012, ADBIS Workshops.
[23] Tadeusz M. Szuba,et al. Computational Collective Intelligence , 2001, Lecture Notes in Computer Science.
[24] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[25] Francisco Herrera,et al. An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes , 2011, Pattern Recognit..
[26] Konrad Jackowski. Adaptive Splitting and Selection Algorithm for Regression , 2015, New Generation Computing.
[27] J. Ferlay,et al. Global estimates of cancer prevalence for 27 sites in the adult population in 2008 , 2013, International journal of cancer.
[28] Jon Atli Benediktsson,et al. Multiple Classifier Systems , 2015, Lecture Notes in Computer Science.
[29] Thomas G. Dietterich,et al. Solving Multiclass Learning Problems via Error-Correcting Output Codes , 1994, J. Artif. Intell. Res..
[30] Bartosz Krawczyk,et al. Combined classifier based on feature space partitioning , 2012, Int. J. Appl. Math. Comput. Sci..
[31] Fabio Roli,et al. Intrusion detection in computer networks by a modular ensemble of one-class classifiers , 2008, Inf. Fusion.
[32] Shie-Jue Lee,et al. BOOSTING ONE-CLASS SUPPORT VECTOR MACHINES FOR MULTI-CLASS CLASSIFICATION , 2009, Appl. Artif. Intell..
[33] Tin Kam Ho,et al. The Random Subspace Method for Constructing Decision Forests , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[34] Fernand Meyer,et al. Topographic distance and watershed lines , 1994, Signal Process..
[35] Simon Parsons,et al. Introduction to Machine Learning, Second Editon by Ethem Alpaydin, MIT Press, 584 pp., ISBN 978-0-262-01243-0 , 2010, The Knowledge Engineering Review.
[36] Serge Beucher,et al. Use of watersheds in contour detection , 1979 .
[37] Bartosz Krawczyk,et al. Diversity measures for one-class classifier ensembles , 2014, Neurocomputing.
[38] Bartosz Krawczyk,et al. Experiments on distance measures for combining one-class classifiers , 2012, 2012 Federated Conference on Computer Science and Information Systems (FedCSIS).
[39] Christophoros Nikou,et al. Automated Detection of Cell Nuclei in Pap Smear Images Using Morphological Reconstruction and Clustering , 2011, IEEE Transactions on Information Technology in Biomedicine.
[40] Robert Burduk. Classifier fusion with interval-valued weights , 2013, Pattern Recognit. Lett..
[41] Georges G. E. Gielen,et al. Synthesis of Integrated Passive Components for High-Frequency RF ICs Based on Evolutionary Computation and Machine Learning Techniques , 2011, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
[42] Xin-She Yang,et al. Nature-Inspired Metaheuristic Algorithms , 2008 .
[43] Marek Kowal,et al. Fuzzy Clustering and Adaptive Thresholding Based Segmentation Method for Breast Cancer Diagnosis , 2011, Computer Recognition Systems 4.
[44] D. Tax,et al. Characterizing one-class datasets , 2006 .
[45] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[46] M. M. Moya,et al. Cueing, feature discovery, and one-class learning for synthetic aperture radar automatic target recognition , 1995, Neural Networks.
[47] Sung-Bae Cho,et al. Hybrid Artificial Intelligent Systems , 2015, Lecture Notes in Computer Science.
[48] Michal Wozniak,et al. Complexity and Multithreaded Implementation Analysis of One Class-Classifiers Fuzzy Combiner , 2011, HAIS.
[49] Sankey V. Williams,et al. Computer‐Aided Diagnosis , 2005 .
[50] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[51] HerreraFrancisco,et al. An overview of ensemble methods for binary classifiers in multi-class problems , 2011 .
[52] C. Mathers,et al. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008 , 2010, International journal of cancer.
[53] Marek Kowal,et al. Breast fibroadenoma automatic detection using k-means based hybrid segmentation method , 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).
[54] R. A. Osborn,et al. Introduction to Biopsy Interpretation and Surgical Pathology , 1988 .
[55] Andrzej Obuchowicz,et al. Automatic Nuclei Detection on Cytological Images Using the Firefly Optimization Algorithm , 2012, ITIB.
[56] Xin-She Yang,et al. Firefly Algorithm, Lévy Flights and Global Optimization , 2010, SGAI Conf..
[57] Mark Harman,et al. A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search , 2010, IEEE Transactions on Software Engineering.
[58] Robert P. W. Duin,et al. Support Vector Data Description , 2004, Machine Learning.
[59] Xiaobo Zhou,et al. Nuclei Segmentation Using Marker-Controlled Watershed, Tracking Using Mean-Shift, and Kalman Filter in Time-Lapse Microscopy , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.
[60] Chen Li,et al. Bagging One-Class Decision Trees , 2008, 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery.
[61] Christopher M. Bishop,et al. Novelty detection and neural network validation , 1994 .
[62] Eibe Frank,et al. Discriminating Against New Classes: One-class versus Multi-class Classification , 2008, Australasian Conference on Artificial Intelligence.
[63] Bartosz Krawczyk,et al. Combining Diverse One-Class Classifiers , 2012, HAIS.
[64] S Issac Niwas,et al. Wavelet based feature extraction method for breast cancer cytology images , 2010, 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA).
[65] Joshua D. Knowles,et al. Memetic Algorithms for Multiobjective Optimization: Issues, Methods and Prospects , 2004 .
[66] Reza Ghaderi,et al. Coding and decoding strategies for multi-class learning problems , 2003, Inf. Fusion.
[67] Bartosz Krawczyk,et al. Adaptive Splitting and Selection Algorithm for Classification of Breast Cytology Images , 2012, ICCCI.
[68] Michal Wozniak,et al. Soft computing methods applied to combination of one-class classifiers , 2012, Neurocomputing.
[69] Guohai Liu,et al. Monitoring of solid-state fermentation of wheat straw in a pilot scale using FT-NIR spectroscopy and support vector data description , 2012 .