Search results for "Ensemble"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
103	Zhenyu Lu, Xindong Wu 0001, Xingquan Zhu 0001, Josh C. Bongard	Ensemble pruning via individual contribution ordering.	KDD	2010	DBLP DOI BibTeX RDF	ensemble pruning, ensemble learning
67	Zhi-Hua Zhou, Yuan Jiang 0001	NeC4.5: Neural Ensemble Based C4.5.	IEEE Trans. Knowl. Data Eng.	2004	DBLP DOI BibTeX RDF	neural networks, Machine learning, decision tree, generalization, ensemble learning, comprehensibility, neural network ensemble
66	Huanhuan Chen, Peter Tiño, Xin Yao 0001	Predictive Ensemble Pruning by Expectation Propagation.	IEEE Trans. Knowl. Data Eng.	2009	DBLP DOI BibTeX RDF
60	Shenglan Ben, Guangda Su, Youshou Wu	A Two-Step Selective Region Ensemble for Facial Age Estimation.	ICIC (2)	2008	DBLP DOI BibTeX RDF	region selection, age range, age estimation, selective ensemble, facial image
60	Yue Liu, Yafeng Yin, Zaixia Teng, Qi Wu, Guozheng Li 0001	Activities Prediction of Drug Molecules by Using the Optimal Ensemble Based on Uniform Design.	ICIC (1)	2008	DBLP DOI BibTeX RDF	Uniform Design, Neural Network Ensemble, Drug Design
60	Yakov Frayman, Bernard F. Rolfe, Geoffrey I. Webb	Solving Regression Problems Using Competitive Ensemble Models.	Australian Joint Conference on Artificial Intelligence	2002	DBLP DOI BibTeX RDF
55	Geoffrey I. Webb, Zijian Zheng	Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques.	IEEE Trans. Knowl. Data Eng.	2004	DBLP DOI BibTeX RDF
54	Qiang-Li Zhao, Yan-Huang Jiang, Ming Xu 0002	A Fast Ensemble Pruning Algorithm Based on Pattern Mining Process.	ECML/PKDD (1)	2009	DBLP DOI BibTeX RDF	PMEP (Pattern Mining based Ensemble Pruning), Bagging, FP-Tree, back-propagation neural network
54	Sandro Vega-Pons, José Ruiz-Shulcloper	Clustering Ensemble Method for Heterogeneous Partitions.	CIARP	2009	DBLP DOI BibTeX RDF	co-association matrix, similarity measure, object representation, Cluster ensemble
54	Nan-Chen Hsieh, Lun-Ping Hung, Chia-Ling Ho	A Data Driven Ensemble Classifier for Credit Scoring Analysis.	PAKDD	2009	DBLP DOI BibTeX RDF	class-wise classification, credit scoring system, Clustering, neural network, Bayesian network, ensemble classifier
54	Huanhuan Chen, Xin Yao 0001	Evolutionary Ensemble for In Silico Prediction of Ames Test Mutagenicity.	ICIC (2)	2007	DBLP DOI BibTeX RDF	Ames Test Mutagenicity, In silico models, Evolutionary Ensemble, Negative Correlation Learning
54	Simon Günter, Horst Bunke	Evaluation of Classical and Novel Ensemble Methods for Handwritten Word Recognition.	SSPR/SPR	2004	DBLP DOI BibTeX RDF	hidden Markov model (HMM), ensemble methods, handwritten word recognition
54	Song Chun Zhu, Xiuwen Liu, Ying Nian Wu	Exploring Texture Ensembles by Efficient Markov Chain Monte Carlo-Toward a 'Trichromacy' Theory of Texture.	IEEE Trans. Pattern Anal. Mach. Intell.	2000	DBLP DOI BibTeX RDF	Gibbs ensemble, Julesz ensemble, texture synthesis, Markov chain Monte Carlo, texture modeling
54	Huanhuan Chen, Peter Tiño, Xin Yao 0001	A Probabilistic Ensemble Pruning Algorithm.	ICDM Workshops	2006	DBLP DOI BibTeX RDF
54	Vladimir M. Krasnopolsky	Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approaches.	IJCNN	2006	DBLP DOI BibTeX RDF
49	Chun-Xia Zhang 0002, Jiang-She Zhang 0001	A novel method for constructing ensemble classifiers.	Stat. Comput.	2009	DBLP DOI BibTeX RDF	Kappa-error diagram, Principal component analysis, Bootstrap, Adaboost, Bagging, Random forest, Ensemble classifier
49	Jiansheng Wu, Enhong Chen	A Novel Nonparametric Regression Ensemble for Rainfall Forecasting Using Particle Swarm Optimization Technique Coupled with Artificial Neural Network.	ISNN (3)	2009	DBLP DOI BibTeX RDF	Rainfall Forecasting, Particle Swarm Optimization, Neural Network Ensemble, Nonparametric Regression
49	Gonzalo Martínez-Muñoz, Daniel Hernández-Lobato, Alberto Suárez 0001	Statistical Instance-Based Ensemble Pruning for Multi-class Problems.	ICANN (1)	2009	DBLP DOI BibTeX RDF	Instance based pruning, neural networks, ensemble learning
49	Carlos Orrite, Mario Rodríguez, Francisco Martínez-Contreras, Michael C. Fairhurst	Classifier Ensemble Generation for the Majority Vote Rule.	CIARP	2008	DBLP DOI BibTeX RDF	Ensemble generation, Majority vote, Combining classifiers
49	Laura Emmanuella A. Santana, Anne M. P. Canuto, João Carlos Xavier Jr.	Using Feature Distribution Methods in Ensemble Systems Combined by Fusion and Selection-Based Methods.	ICANN (1)	2008	DBLP DOI BibTeX RDF	Ensemble systems, Feature distribution in Ensembles, Diversity
49	Genlin Ji, Xiaohan Ling	Ensemble Learning Based Distributed Clustering.	PAKDD Workshops	2007	DBLP DOI BibTeX RDF	data mining, ensemble learning, Distributed clustering
49	Shaohua Kevin Zhou, Rama Chellappa	From Sample Similarity to Ensemble Similarity: Probabilistic Distance Measures in Reproducing Kernel Hilbert Space.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	Ensemble similarity, Chernoff distance, Kullback-Leibler (KL) divergence/relative entropy, Patrick-Fisher distance, Mahalonobis distance, kernel methods, reproducing kernel Hilbert space, Bhattacharyya distance
49	Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano	Improving cooperative GP ensemble with clustering and pruning for pattern classification.	GECCO	2006	DBLP DOI BibTeX RDF	data mining, classification, genetic programming, ensemble
49	Haixun Wang, Wei Fan 0001, Philip S. Yu, Jiawei Han 0001	Mining concept-drifting data streams using ensemble classifiers.	KDD	2003	DBLP DOI BibTeX RDF	data streams, classifier, concept drift, classifier ensemble
49	Min Jang, Sungzoon Cho	Observational Learning Algorithm for an Ensemble of Neural Networks.	Pattern Anal. Appl.	2002	DBLP DOI BibTeX RDF	Observational learning, Social learning theory, Virtual data, Neural network ensemble
48	Shiliang Sun	An Improved Random Subspace Method and Its Application to EEG Signal Classification.	MCS	2007	DBLP DOI BibTeX RDF	ensemble diversity, ensemble learning, random subspace, EEG signal classification
48	Tuve Löfström, Ulf Johansson, Henrik Boström	Ensemble member selection using multi-objective optimization.	CIDM	2009	DBLP DOI BibTeX RDF
48	Hongbo Shi, Yali Lv	An Ensemble Classifier Based on Attribute Selection and Diversity Measure.	FSKD (2)	2008	DBLP DOI BibTeX RDF
48	Bingjie Liu, Changhua Hu	Integrated Neural Network Ensemble Algorithm Based on Clustering Technology.	ICONIP (1)	2006	DBLP DOI BibTeX RDF
48	Gang Li 0009, Honghua Dai 0001	Study of Ensemble Strategies in Discovering Linear Causal Models.	FSKD (2)	2005	DBLP DOI BibTeX RDF
48	Qian Wu, Carey L. Williamson	Improving Ensemble-TCP Performance on Asymmetric Networks.	MASCOTS	2001	DBLP DOI BibTeX RDF
48	Pitoyo Hartono, Shuji Hashimoto	Effective Learning in Noisy Environment Using Neural Network Ensemble.	IJCNN (2)	2000	DBLP DOI BibTeX RDF
48	Yi Ding 0007, Xufu Peng, Xian Fu	The Research of Negative Correlation Learning Based on Artificial Neural Network.	ISNN (1)	2009	DBLP DOI BibTeX RDF	Artificial neural networks, Neural Network Ensemble, Negative Correlation Learning
48	Constantinos Evangelinos, Pierre F. J. Lermusiaux, Jinshan Xu, Patrick J. Haley, Chris N. Hill	Many task computing for multidisciplinary ocean sciences: real-time uncertainty prediction and data assimilation.	SC-MTAGS	2009	DBLP DOI BibTeX RDF	ensemble, data-intensive, assimilation, MTC
48	Eulanda Miranda dos Santos, Robert Sabourin, Patrick Maupin	Pareto analysis for the selection of classifier ensembles.	GECCO	2008	DBLP DOI BibTeX RDF	Pareto analysis, ensemble selection, classifier ensembles, diversity measures
48	M. A. El-Gamal, M. D. A. Mohamed	Ensembles of Neural Networks for Fault Diagnosis in Analog Circuits.	J. Electron. Test.	2007	DBLP DOI BibTeX RDF	fault simulation, boosting, ensemble learning, analog circuits, bagging, fault classification
48	Vicent Estruch, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana	Beam Search Extraction and Forgetting Strategies on Shared Ensembles.	Multiple Classifier Systems	2003	DBLP DOI BibTeX RDF	Randomisation, Decision Trees, Ensemble Methods, Search Space, Beam Search
48	Yong Liu 0012	Balanced Learning for Ensembles with Small Neural Networks.	ISICA	2009	DBLP DOI BibTeX RDF
48	Huanhuan Chen, Xin Yao 0001	Evolutionary random neural ensembles based on negative correlation learning.	IEEE Congress on Evolutionary Computation	2007	DBLP DOI BibTeX RDF
43	Yong Yang 0003, Guoyin Wang 0001, Kun He 0013	An Approach for Selective Ensemble Feature Selection Based on Rough Set Theory.	RSKT	2007	DBLP DOI BibTeX RDF	feature selection, Rough set, ensemble learning, selective ensemble
43	Xin Geng 0001, Zhi-Hua Zhou	Image Region Selection and Ensemble for Face Recognition.	J. Comput. Sci. Technol.	2006	DBLP DOI BibTeX RDF	region selection, multiple eigenspaces, face recognition, ensemble learning, selective ensemble
43	Francesco Nocera, Antonio Bucchiarone, Marina Mongiello, Rafael Capilla, Maurizio Leotta, Zoltán Ádám Mann, Pooyan Jamshidi, Antonio Brogi (eds.)	Proceedings of the 2nd ACM SIGSOFT International Workshop on Ensemble-Based Software Engineering for Modern Computing Platforms, EnSEmble@ESEC/SIGSOFT FSE 2019, Tallinn, Estonia, August 26, 2019.	EnSEmble@ESEC/SIGSOFT FSE	2019	DBLP DOI BibTeX RDF
43	Paolo Buono, Fabrizio Balducci, Fabio Cassano, Antonio Piccinno	EnergyAware: a non-intrusive load monitoring system to improve the domestic energy consumption awareness.	EnSEmble@ESEC/SIGSOFT FSE	2019	DBLP DOI BibTeX RDF
43	J. David Patón-Romero, Maria Teresa Baldassarre, Moisés Rodríguez, Mario Piattini	Assessing the greenability of ensembles.	EnSEmble@ESEC/SIGSOFT FSE	2019	DBLP DOI BibTeX RDF
43	Marina Ribaudo, Andrea Valenza	Semi-automatic generation of cybersecurity exercises: a preliminary proposal.	EnSEmble@ESEC/SIGSOFT FSE	2019	DBLP DOI BibTeX RDF
43	Antonio Bucchiarone, Marina Mongiello, Francesco Nocera, Michael Sheng 0001 (eds.)	Proceedings of the 1st ACM SIGSOFT International Workshop on Ensemble-Based Software Engineering, EnSEmble@ESEC/SIGSOFT FSE 2018, Lake Buena Vista, FL, USA, November 4, 2018	EnSEmble@ESEC/SIGSOFT FSE	2018	DBLP DOI BibTeX RDF
43	Claudio De Meo, Nicola Siena, Luca Riccardi, Francesco Nocera, Angelo Parchitelli, Marina Mongiello, Eugenio Di Sciascio, Niko Mäkitalo	LiquiDADE: a liquid-based distributed agile and adaptive development environment (DADE) multi-device tool.	EnSEmble@ESEC/SIGSOFT FSE	2018	DBLP DOI BibTeX RDF
43	Maria Teresa Baldassarre, Ismael Caballero 0001, Danilo Caivano, Bibiano Rivas Garcia, Mario Piattini	From big data to smart data: a data quality perspective.	EnSEmble@ESEC/SIGSOFT FSE	2018	DBLP DOI BibTeX RDF
43	Maria Teresa Baldassarre, Danilo Caivano, Diego Serrano, Eleni Stroulia	"Smart Traffic": an IoT traffic monitoring system based on open source technologies on the cloud.	EnSEmble@ESEC/SIGSOFT FSE	2018	DBLP DOI BibTeX RDF
43	Diego Clerissi, Maurizio Leotta, Gianna Reggio, Filippo Ricca	Towards an approach for developing and testing Node-RED IoT systems.	EnSEmble@ESEC/SIGSOFT FSE	2018	DBLP DOI BibTeX RDF
43	Georg Krempl, Vera Hofer	Partitioner Trees for Classification: A New Ensemble Method.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
43	Angelo Ciaramella, Giulio Giunta, Angelo Riccio, Stefano Galmarini	Independent Data Model Selection for Ensemble Dispersion Forecasting.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
43	Grigorios Tsoumakas, Ioannis Partalas, Ioannis P. Vlahavas	An Ensemble Pruning Primer.	Applications of Supervised and Unsupervised Ensemble Methods	2009	DBLP DOI BibTeX RDF
43	Andre Kalamandeen, Adin Scannell, Eyal de Lara, Anmol Sheth, Anthony LaMarca	Ensemble: cooperative proximity-based authentication.	MobiSys	2010	DBLP DOI BibTeX RDF	authentication, ensemble, proximity
43	Wei Qu, Yang Zhang 0010, Junping Zhu, Qiang Qiu	Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble.	ACML	2009	DBLP DOI BibTeX RDF	Binary Relevance, Dynamic Classifier Ensemble, Data Stream, Concept Drift, Multi-label
43	Lei Wang, Yong Yang	Selective Ensemble Algorithms of Support Vector Machines Based on Constraint Projection.	ISNN (2)	2009	DBLP DOI BibTeX RDF	Constraint projection, Support vector machines, Selective ensemble
43	Xuesong Wang 0001, Yangyang Gu, Yuhu Cheng, Ruhai Lei	An Ensemble Classifier Based on Kernel Method for Multi-situation DNA Microarray Data.	ICIC (1)	2009	DBLP DOI BibTeX RDF	Multi-situation, DNA microarray data, Kernel method, Classifier, Ensemble learning
43	Bo Ning 0003, Xianbin Cao 0001, Yanwu Xu 0001, Jun Zhang 0007	Virus-evolutionary genetic algorithm based selective ensemble classifier for pedestrian detection.	GEC Summit	2009	DBLP DOI BibTeX RDF	virus-evolutionary genetic algorithm, classifier, pedestrian detection, selective ensemble
43	Shiliang Sun	Traffic flow forecasting based on multitask ensemble learning.	GEC Summit	2009	DBLP DOI BibTeX RDF	multitask learning, traffic flow forecasting, neural network, ensemble learning
43	Alon Schclar, Alexander Tsikinovsky, Lior Rokach, Amnon Meisels, Liat Antwarg	Ensemble methods for improving the performance of neighborhood-based collaborative filtering.	RecSys	2009	DBLP DOI BibTeX RDF	neighborhood based collaborative filtering, collaborative filtering, ensemble methods
43	Marcin Korytkowski, Robert Nowicki, Rafal Scherer	Neuro-fuzzy Rough Classifier Ensemble.	ICANN (1)	2009	DBLP DOI BibTeX RDF	rough sets, classifier ensemble, Neuro-fuzzy
43	Jinlong Wang, Ke Gao, Yang Jiao, Gang Li 0009	Study on Ensemble Classification Methods towards Spam Filtering.	ADMA	2009	DBLP DOI BibTeX RDF	spam email filtering, classification, ensemble
43	Zhiyong Lin, Zhifeng Hao, Xiaowei Yang, Xiaolan Liu	Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning.	ADMA	2009	DBLP DOI BibTeX RDF	Imbalanced data learning, Under-sampling, SVM, Ensemble
43	Naohiro Ishii, Takahiro Yamada, Yongguang Bao	Text Classification by Relearning and Ensemble Computation.	Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing	2008	DBLP DOI BibTeX RDF	Relearning, Ensemble Computation, Text Classification, kNN
43	Lean Yu, Kin Keung Lai, Shouyang Wang	An Evolutionary Programming Based Knowledge Ensemble Model for Business Risk Identification.	Soft Computing Applications in Business	2008	DBLP DOI BibTeX RDF	Business risk identification, knowledge ensemble, multivariate discriminant analysis, logit regression analysis, data mining, support vector machines, artificial neural network, soft computing, evolutionary programming
43	Hiromi Miyajima, Noritaka Shigei, Shinya Fukumoto, Toshiaki Miike	Parallel Fuzzy Reasoning Models with Ensemble Learning.	ISNN (1)	2008	DBLP DOI BibTeX RDF	Fuzzy reasoning model, AdaBoost, Ensemble learning, Parallel model
43	Israel Huff, Chris Weigle, David C. Banks	Ensemble-space visualization improves perception of 3D state of molecular dynamics simulation.	APGV	2008	DBLP DOI BibTeX RDF	bulk properties, ensemble space, pair correlation, radial function, scalable visualization, perception, molecular dynamics
43	Yusuke Nojima, Hisao Ishibuchi	Effects of Diversity Measures on the Design of Ensemble Classifiers by Multiobjective Genetic Fuzzy Rule Selection with a Multi-classifier Coding Scheme.	HAIS	2008	DBLP DOI BibTeX RDF	Ensemble Classifiers, Genetic Fuzzy Systems, Diversity Measures
43	Christian Gagné 0001, Michèle Sebag, Marc Schoenauer, Marco Tomassini	Ensemble learning for free with evolutionary algorithms?	GECCO	2007	DBLP DOI BibTeX RDF	evolutionary computation, ensemble learning
43	Danico Lee, Costas Tsatsoulis	Intelligent data entry assistant for XML using ensemble learning.	IUI	2005	DBLP DOI BibTeX RDF	autofill, XML, machine learning, ensemble learning
43	Yongdai Kim, Jinseog Kim	Convex Hull Ensemble Machine for Regression and Classification.	Knowl. Inf. Syst.	2004	DBLP DOI BibTeX RDF	Classification, Regression, Boosting, Ensemble, Bagging
43	Yi Peng 0001, Gang Kou, Zhengxin Chen, Yong Shi 0001	Cross-Validation and Ensemble Analyses on Multiple-Criteria Linear Programming Classification for Credit Cardholder Behavior.	International Conference on Computational Science	2004	DBLP DOI BibTeX RDF	Credit Card Portfolio Management, Multi-criteria Linear Programming, Cross-Validation and Ensemble, Data Mining, Classification
43	Cristina Tarantino, Annarita D'Addabbo, L. Castellana, Palma Blonda, Guido Pasquariello, Nicola Ancona, Giuseppe Satalino	Neural Network Ensemble and Support Vector Machine Classifiers: An Application to Remote Sensed Data.	WILF	2003	DBLP DOI BibTeX RDF	SVM, Neural Network Ensemble, Fuzzy Integral, remote sensed data
43	César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana	From Ensemble Methods to Comprehensible Models.	Discovery Science	2002	DBLP DOI BibTeX RDF	Comprehensibility in Machine Learning, Classifier Similarity, Randomisation, Decision Trees, Ensemble Methods
42	Timothy Pritchett, Mithuna Thottethodi	SieveStore: a highly-selective, ensemble-level disk cache for cost-performance.	ISCA	2010	DBLP DOI BibTeX RDF	selective allocation, storage ensembles, flash memory, storage, solid state disks, disk cache
42	Gyeongyong Heo, Paul D. Gader	Prior-updating ensemble learning for discrete HMM.	ICPR	2008	DBLP DOI BibTeX RDF
42	In Sung Kim, Bruno Otávio Soares Teixeira, Dennis S. Bernstein	Ensemble-on-demand Kalman filter for large-scale systems with time-sparse measurements.	CDC	2008	DBLP DOI BibTeX RDF
42	Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano	An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams.	ICTAI (2)	2007	DBLP DOI BibTeX RDF
42	Hussein A. Abbass	Pareto-Optimal Approaches to Neuro-Ensemble Learning.	Multi-Objective Machine Learning	2006	DBLP DOI BibTeX RDF
42	Rich Caruana, Art Munson, Alexandru Niculescu-Mizil	Getting the Most Out of Ensemble Selection.	ICDM	2006	DBLP DOI BibTeX RDF
42	Hsuan-Tien Lin, Ling Li	Infinite Ensemble Learning with Support Vector Machines.	ECML	2005	DBLP DOI BibTeX RDF
42	Suyu Mei, Yue Liu, Gengfeng Wu, Bofeng Zhang	Rough reducts based SVM ensemble.	GrC	2005	DBLP DOI BibTeX RDF
42	Chanho Park, Sung-Bae Cho	Evolutionary Computation for Optimal Ensemble Classifier in Lymphoma Cancer Classification.	ISMIS	2003	DBLP DOI BibTeX RDF
42	Zhi-Hua Zhou, Wei Tang	Selective Ensemble of Decision Trees.	RSFDGrC	2003	DBLP DOI BibTeX RDF
42	Chi-Hoon Lee	Learning to combine discriminative classifiers: confidence based.	KDD	2010	DBLP DOI BibTeX RDF	classification, logistic regression, ensemble learning
42	Ammar W. Mohemmed, Mark Johnston, Mengjie Zhang 0001	Particle swarm optimization based multi-prototype ensembles.	GECCO	2009	DBLP DOI BibTeX RDF	classification, particle swarm optimization, ensemble
42	Marek Bundzel, Peter Sincak	Ensembling Classifiers Using Unsupervised Learning.	ICAISC	2008	DBLP DOI BibTeX RDF	Parallel, Ensemble, Structural Adaptation
42	Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano	StreamGP: tracking evolving GP ensembles in distributed data streams using fractal dimension.	GECCO	2007	DBLP DOI BibTeX RDF	distributed streaming data, data mining, classification, genetic programming, ensemble
42	Mihir Sewak, Priyanka Vaidya, Chien-Chung Chan	SVM Approach to Breast Cancer Classification.	IMSCCS	2007	DBLP DOI BibTeX RDF	Machine Learning, Support Vector Machines, Classifiers, Ensemble, Breast Cancer
42	Simon Günter, Horst Bunke	Ensembles of Classifiers for Handwritten Word Recognition Specialized on Individual Handwriting Style.	Document Analysis Systems	2004	DBLP DOI BibTeX RDF	hidden Markov model (HMM), ensemble method, handwritten word recognition, writing style
42	Ludmila I. Kuncheva, Juan José Rodríguez	Classifier Ensembles with a Random Linear Oracle.	IEEE Trans. Knowl. Data Eng.	2007	DBLP DOI BibTeX RDF	fusion and selection, random hyperplane, multivariate (oblique) decision trees, Classifier ensembles
42	Gabriele Zenobi, Padraig Cunningham	Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error.	ECML	2001	DBLP DOI BibTeX RDF
42	Padraig Cunningham, John Carney	Diversity versus Quality in Classification Ensembles Based on Feature Selection.	ECML	2000	DBLP DOI BibTeX RDF
37	Yuan Jiang 0001, Zhi-Hua Zhou	SOM Ensemble-Based Image Segmentation.	Neural Process. Lett.	2004	DBLP DOI BibTeX RDF	neural networks, image segmentation, SOM, unsupervised learning, ensemble learning, neural network ensemble
37	Francesco Masulli, Giorgio Valentini	Effectiveness of error correcting output coding methods in ensemble and monolithic learning machines.	Pattern Anal. Appl.	2004	DBLP DOI BibTeX RDF	ECOC ensemble, Ensemble of learning machines, Error correcting output, Coding, Classification problems
37	Paulo Fernandes 0001, Lucelene Lopes, Duncan Dubugras A. Ruiz	The impact of random samples in ensemble classifiers.	SAC	2010	DBLP DOI BibTeX RDF	accuracy comparison, machine learning, boosting, random samples, bagging, ensemble classifiers
37	Yanfang Ye 0001, Tao Li 0001, Yong Chen, Qingshan Jiang	Automatic malware categorization using cluster ensemble.	KDD	2010	DBLP DOI BibTeX RDF	malware categorization, signature, cluster ensemble
37	Ruochen Liu, Wei Zhang 0009, Licheng Jiao, Fang Liu 0001	A multiobjective immune clustering ensemble technique applied to unsupervised SAR image segmentation.	CIVR	2010	DBLP DOI BibTeX RDF	unsupervised image segmentation, artificial immune system, multiobjective optimization, SAR image, clustering ensemble
37	Rakkrit Duangsoithong, Terry Windeatt	Relevance and Redundancy Analysis for Ensemble Classifiers.	MLDM	2009	DBLP DOI BibTeX RDF	Redundant feature, Irrelevant feature, Feature selection, Ensemble classification
37	Jianjun Liu, Shengping Xia, Weidong Hu, Wenxian Yu	Weights Updated Voting for Ensemble of Neural Networks Based Incremental Learning.	ISNN (1)	2009	DBLP DOI BibTeX RDF	Neural networks, Machine learning, Incremental learning, Neural network ensemble