Search results for "Ensemble"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
13	R. Chen, C. H. Ju, F. Shen Tu	A Credit Scoring Ensemble Framework using Adaboost and Multi-layer Ensemble Classification.	PRIS	2022	DBLP DOI BibTeX RDF
13	Malte Nalenz	Characterizing model uncertainty in ensemble learning: towards more robust representation and learning of tree ensemble methods.		2022	RDF
13	Talha Karadeniz 0001	Ensemble methods for heart disease prediction (Kalp hastalığı tahmini için ensemble metotlar)		2022	RDF
13	Sebastian Friedemann	Ensemble-based data assimilation for large scale simulations. (Assimilation de données par ensemble pour les simulations à grandes échelles).		2022	RDF
13	Wei Miao, Gong Cheng, Jr-Shin Li	On Numerical Examination of Uniform Ensemble Controllability for Linear Ensemble Systems.	IEEE Control. Syst. Lett.	2021	DBLP DOI BibTeX RDF
13	Zainoolabadien Karim, Terence L. van Zyl	Deep/Transfer Learning with Feature Space Ensemble Networks (FeatSpaceEnsNets) and Average Ensemble Networks (AvgEnsNets) for Change Detection Using DInSAR Sentinel-1 and Optical Sentinel-2 Satellite Data Fusion.	Remote. Sens.	2021	DBLP DOI BibTeX RDF
13	Yanqiu Gao, Youmin Tang, Xunshu Song, Zheqi Shen	Parameter Estimation Based on a Local Ensemble Transform Kalman Filter Applied to El Niño-Southern Oscillation Ensemble Prediction.	Remote. Sens.	2021	DBLP DOI BibTeX RDF
13	Shuai Zhang 0002, Yong Chen, Wenyu Zhang 0001, Ruijun Feng	A novel ensemble deep learning model with dynamic error correction and multi-objective ensemble pruning for time series forecasting.	Inf. Sci.	2021	DBLP DOI BibTeX RDF
13	Xiangjun Shen, Kou Lu, Sumet Mehta, Jianming Zhang, Weifeng Liu 0001, Jianping Fan 0001, Zhengjun Zha	MKEL: Multiple Kernel Ensemble Learning via Unified Ensemble Loss for Image Classification.	ACM Trans. Intell. Syst. Technol.	2021	DBLP DOI BibTeX RDF
13	Xingjian Li 0002, Haoyi Xiong, Zeyu Chen, Jun Huan, Cheng-Zhong Xu 0001, Dejing Dou	"In-Network Ensemble": Deep Ensemble Learning with Diversified Knowledge Distillation.	ACM Trans. Intell. Syst. Technol.	2021	DBLP DOI BibTeX RDF
13	Arko Banerjee, Arun K. Pujari, Chhabi Rani Panigrahi, Bibudhendu Pati, Suvendu Chandan Nayak, Tien-Hsiung Weng	A new method for weighted ensemble clustering and coupled ensemble selection.	Connect. Sci.	2021	DBLP DOI BibTeX RDF
13	Yi Cai 0003, Xuefei Ning, Huazhong Yang, Yu Wang 0002	Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness.	CoRR	2021	DBLP BibTeX RDF
13	Tobias Sebastian Finn	Self-Attentive Ensemble Transformer: Representing Ensemble Interactions in Neural Networks for Earth System Models.	CoRR	2021	DBLP BibTeX RDF
13	Pawel Trajdos, Marek Kurzynski	Building an Ensemble of Classifiers via Randomized Models of Ensemble Members.	CoRR	2021	DBLP BibTeX RDF
13	Wei Miao, Gong Cheng, Jr-Shin Li	On Uniform Ensemble Controllability of Diagonalizable Linear Ensemble Systems.	CoRR	2021	DBLP BibTeX RDF
13	Mohammad Norizadeh Cherloo, Homa Kashefi Amiri, Mohammad Reza Daliri	Ensemble Regularized Common Spatio-Spectral Pattern (ensemble RCSSP) model for motor imagery-based EEG signal classification.	Comput. Biol. Medicine	2021	DBLP DOI BibTeX RDF
13	Oxana Verkholyak, Denis Dresvyanskiy, Anastasia Dvoynikova, Denis Kotov, Elena Ryumina, Alena Velichko, Danila Mamontov, Wolfgang Minker, Alexey Karpov 0001	Ensemble-Within-Ensemble Classification for Escalation Prediction from Speech.	Interspeech	2021	DBLP DOI BibTeX RDF
13	Wei Miao, Gong Cheng, Jr-Shin Li	On Numerical Examination of Uniform Ensemble Controllability for Linear Ensemble Systems.	ACC	2021	DBLP DOI BibTeX RDF
13	Kate Han, Tien Pham, Trung Hieu Vu, Truong Dang, John A. W. McCall, Tien Thanh Nguyen	VEGAS: A Variable Length-Based Genetic Algorithm for Ensemble Selection in Deep Ensemble Learning.	ACIIDS	2021	DBLP DOI BibTeX RDF
13	Yanzhao Wu 0001, Ling Liu 0001, Zhongwei Xie, Ka Ho Chow, Wenqi Wei	Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics.	CVPR	2021	DBLP BibTeX RDF
13	Pawel Trajdos, Marek Kurzynski	Building an Ensemble of Classifiers via Randomized Models of Ensemble Members.	CORES/IP&C/ACS	2021	DBLP DOI BibTeX RDF
13	Sara Akodad	Ensemble learning methods on the space of covariance matrices : application to remote sensing scene and multivariate time series classification. (Méthodes d'ensemble sur l'espace des matrices de covariance : application à la classification de scènes de télédétection et de séries temporelles multivariées).		2021	RDF
13	Estèphe Arnaud	Adaptive deep ensemble methods for face analysis in the wild. (Méthodes d'ensemble et apprentissage profond pour l'analyse faciale en environnement non contraint).		2021	RDF
13	Louis Duvivier	Two statistical methods for graph model selection: Distance to the microcanonical ensemble and prequential inference on edge sequences. (Deux méthodes statistiques pour la sélection de modèles de graphes: La distance à l'ensemble microcanonique et l'inférence préquentielle sur les séquences d'arêtes).		2021	RDF
13	Marianne Souaiby	Lyapunov Functions and Ensemble Approximations for Constrained Systems using Semidefinite Programming. (Fonctions de Lyapunov et approximations d'ensemble pour les systèmes contraints utilisant la programmation semi-définie).		2021	RDF
13	Gabriel Jouan	Post-traitement des prévisions d'ensemble en météorologie par des méthodes d'apprentissage statistique. (Post-processing of ensemble forecasts in meteorology using statistical learning methods).		2021	RDF
13	Zardad Khan, Asma Gul, Aris Perperoglou, Miftahuddin Miftahuddin, Osama Mahmoud, Werner Adler, Berthold Lausen	Ensemble of optimal trees, random forest and random projection ensemble classification.	Adv. Data Anal. Classif.	2020	DBLP DOI BibTeX RDF
13	Andrey A. Popov, Adrian Sandu	An Explicit Probabilistic Derivation of Inflation in a Scalar Ensemble Kalman Filter for Finite Step, Finite Ensemble Convergence.	CoRR	2020	DBLP BibTeX RDF
13	Tsuyoshi Ishizone, Tomoyuki Higuchi, Kazuyuki Nakamura	Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter.	CoRR	2020	DBLP BibTeX RDF
13	Tipawan Silwattananusarn, Wanida Kanarkard, Kulthida Tuamsuk	Enhanced Classification Accuracy for Cardiotocogram Data with Ensemble Feature Selection and Classifier Ensemble.	CoRR	2020	DBLP BibTeX RDF
13	Hao Chen 0066, Abhinav Shrivastava	Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet.	CoRR	2020	DBLP BibTeX RDF
13	Liu Yang, Constantinos Daskalakis, George Em Karniadakis	Generative Ensemble-Regression: Learning Stochastic Dynamics from Discrete Particle Ensemble Observations.	CoRR	2020	DBLP BibTeX RDF
13	Xudong Du, Wei Li 0171, Sumei Ruan, Li Li	CUS-heterogeneous ensemble-based financial distress prediction for imbalanced dataset with ensemble feature selection.	Appl. Soft Comput.	2020	DBLP DOI BibTeX RDF
13	Andrew M. Webb, Charles Reynolds, Wenlin Chen, Henry W. J. Reeve, Dan-Andrei Iliescu, Mikel Luján, Gavin Brown 0001	To Ensemble or Not Ensemble: When Does End-to-End Training Fail?	ECML/PKDD (3)	2020	DBLP DOI BibTeX RDF
13	Arjun Pakrashi, Brian Mac Namee	Kalman Filter-based Heuristic Ensemble (KFHE): A new perspective on multi-class ensemble classification using Kalman filters.	Inf. Sci.	2019	DBLP DOI BibTeX RDF
13	Ruihan Hu, Songbin Zhou, Yisen Liu, Zhiri Tang	Margin-Based Pareto Ensemble Pruning: An Ensemble Pruning Algorithm That Learns to Search Optimized Ensembles.	Comput. Intell. Neurosci.	2019	DBLP DOI BibTeX RDF
13	Diwakar Tripathi, Damodar Reddy Edla, Ramalingaswamy Cheruku, Venkatanareshbabu Kuppili	A novel hybrid credit scoring model based on ensemble feature selection and multilayer ensemble classification.	Comput. Intell.	2019	DBLP DOI BibTeX RDF
13	Lior Rokach	Ensemble Learning - Pattern Classification Using Ensemble Methods, 2nd Edition		2019	DOI RDF
13	Thi Ngoc Anh Nguyen, Quynh Pham-Nhu, Luong Ngoc Son, Nam Vu-Thanh	Using novel noise filtering techniques to ensemble classifiers for credit scoring * Using noise filtering techniques to ensemble classifiers for credit scoring.	TAAI	2019	DBLP DOI BibTeX RDF
13	Reza Mousavi, Mahdi Eftekhari, Farhad Rahdari	Omni-Ensemble Learning (OEL): Utilizing Over-Bagging, Static and Dynamic Ensemble Selection Approaches for Software Defect Prediction.	Int. J. Artif. Intell. Tools	2018	DBLP DOI BibTeX RDF
13	Arjun Pakrashi, Brian Mac Namee	Kalman Filter-based Heuristic Ensemble: A New Perspective on Ensemble Classification Using Kalman Filters.	CoRR	2018	DBLP BibTeX RDF
13	Yuanliang Chen, Yu Jiang 0001, Jie Liang 0006, Mingzhe Wang, Xun Jiao	EnFuzz: From Ensemble Learning to Ensemble Fuzzing.	CoRR	2018	DBLP BibTeX RDF
13	Yongqing Zhang, Shaojie Qiao, Shengjie Ji, Jiliu Zhou	ENSEMBLE-CNN: Predicting DNA Binding Sites in Protein Sequences by an Ensemble Deep Learning Method.	ICIC (2)	2018	DBLP DOI BibTeX RDF
13	Utkarsh Agrawal, Anthony J. Pinar, Christian Wagner 0002, Timothy C. Havens, Daniele Soria, Jonathan M. Garibaldi	Comparison of Fuzzy Integral-Fuzzy Measure Based Ensemble Algorithms with the State-of-the-Art Ensemble Algorithms.	IPMU (1)	2018	DBLP DOI BibTeX RDF
13	Manh Truong Dang, Anh Vu Luong, Tuyet-Trinh Vu, Quoc Viet Hung Nguyen, Tien Thanh Nguyen, Bela Stantic	An Ensemble System with Random Projection and Dynamic Ensemble Selection.	ACIIDS (1)	2018	DBLP DOI BibTeX RDF
13	Sudipta Pathak, Xingyu Cai, Sanguthevar Rajasekaran	Ensemble Deep TimeNet: An Ensemble Learning Approach with Deep Neural Networks for Time Series.	ICCABS	2018	DBLP DOI BibTeX RDF
13	Yaobin Qin, Bingzhe Li, David J. Lilja	Enhancing the Ensemble of Exemplar-SVMs for Binary Classification Using Concurrent Selection and Ensemble Learning.	UEMCON	2018	DBLP DOI BibTeX RDF
13	Anil Narassiguin	Ensemble Learning, Comparative Analysis and Further Improvements with Dynamic Ensemble Selection. (Apprentissage Ensembliste, Étude comparative et Améliorations via Sélection Dynamique).		2018	RDF
13	You Zhu, Chi Xie, Gangjin Wang, Xin-Guo Yan	Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China's SME credit risk in supply chain finance.	Neural Comput. Appl.	2017	DBLP DOI BibTeX RDF
13	Santiago Egea Gómez, Belén Carro Martínez, Antonio Sánchez-Esguevillas, Luis Hernández-Callejo	Ensemble network traffic classification: Algorithm comparison and novel ensemble scheme proposal.	Comput. Networks	2017	DBLP DOI BibTeX RDF
13	Pin Lim, Chi Keong Goh, Kay Chen Tan	Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning.	IEEE Trans. Cybern.	2017	DBLP DOI BibTeX RDF
13	Hossein Foroozand, Steven V. Weijs	Entropy Ensemble Filter: A Modified Bootstrap Aggregating (Bagging) Procedure to Improve Efficiency in Ensemble Model Simulation.	Entropy	2017	DBLP DOI BibTeX RDF
13	Li Quo, Samia Boukir	Building an ensemble classifier using ensemble margin. Application to image classification.	ICIP	2017	DBLP DOI BibTeX RDF
13	A. Okay Akyuz, Mitat Uysal, Berna Atak Bulbul, M. Ozan Uysal	Ensemble approach for time series analysis in demand forecasting: Ensemble learning.	INISTA	2017	DBLP DOI BibTeX RDF
13	Mihaela Jarema	Visual Analysis of Statistical Aspects of Ensemble Data (Visuelle Analyse von statistischen Besonderheiten in Ensemble-Daten) (PDF / PS)		2017	RDF
13	Florian Ferstl	Visualizing the Variability in Ensemble Simulations (Visualisierung der Variabilität in Ensemble-Simulationen) (PDF / PS)		2017	RDF
13	Lei Chen 0017, Mohamed S. Kamel	MSEBAG: a dynamic classifier ensemble generation based on 'minimum-sufficient ensemble' and bagging.	Int. J. Syst. Sci.	2016	DBLP DOI BibTeX RDF
13	Dong Huang 0001, Chang-Dong Wang, Jian-Huang Lai, Yun Liang 0003, Shan Bian, Yu Chen	Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation.	CoRR	2016	DBLP BibTeX RDF
13	Dong Huang 0001, Chang-Dong Wang, Jian-Huang Lai, Yun Liang 0003, Shan Bian, Yu Chen	Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation.	ICPR	2016	DBLP DOI BibTeX RDF
13	Swastik Singh, Song Zhang 0004, William A. Pruett, Robert L. Hester	Ensemble Traces: Interactive Visualization of Ensemble Multivariate Time Series Data.	Visualization and Data Analysis	2016	DBLP DOI BibTeX RDF
13	Thanh Minh Bui	Statistical modeling, level-set and ensemble learning for automatic segmentation of 3D high-frequency ultrasound data : towards expedited quantitative ultrasound in lymph nodes from cancer patients. (Modélisation statistique, méthodes d'ensemble de niveaux et apprentissage automatique pour la segmentation de données ultrasonores 3D haute fréquence : vers une analyse rapide par ultrasons quantitatifs des ganglions lymphatiques de patients atteints d'un cancer).		2016	RDF
13	Evan Kwiatkowski, Jan Mandel	Convergence of the Square Root Ensemble Kalman Filter in the Large Ensemble Limit.	SIAM/ASA J. Uncertain. Quantification	2015	DBLP DOI BibTeX RDF
13	Reza Mousavi, Mahdi Eftekhari	A new ensemble learning methodology based on hybridization of classifier ensemble selection approaches.	Appl. Soft Comput.	2015	DBLP DOI BibTeX RDF
13	Zhiyuan Shen, Naizhang Feng	Clutter Rejection methods in Doppler color flow imaging: Single-ensemble vs. multi-ensemble.	EMBC	2015	DBLP DOI BibTeX RDF
13	Paul Baudin	Prévision séquentielle par agrégation d'ensemble : application à des prévisions météorologiques assorties d'incertitudes . (Sequential prediction with ensemble aggregation: application to meteorological prediction with uncertainties ).		2015	RDF
13	S. M. Fayaz, G. Krishnamurthy Rajanikant	Ensemble pharmacophore meets ensemble docking: a novel screening strategy for the identification of RIPK1 inhibitors.	J. Comput. Aided Mol. Des.	2014	DBLP DOI BibTeX RDF
13	Rolf Hennicker, Annabelle Klarl	Foundations for Ensemble Modeling - The Helena Approach - Handling Massively Distributed Systems with ELaborate ENsemble Architectures.	Specification, Algebra, and Software	2014	DBLP DOI BibTeX RDF
13	Mohammad Ali Bagheri, Qigang Gao, Sergio Escalera	Generic Subclass Ensemble: A Novel Approach to Ensemble Classification.	ICPR	2014	DBLP DOI BibTeX RDF
13	Bartosz Krawczyk, Michal Wozniak 0001	Experiments on simultaneous combination rule training and ensemble pruning algorithm.	CIEL	2014	DBLP DOI BibTeX RDF
13	C. Venkata Krishna Veni, Timmappareddy Sobha Rani	Ensemble based classification using small training sets : A novel approach.	CIEL	2014	DBLP DOI BibTeX RDF
13	Xueheng Qiu, Le Zhang 0001, Ye Ren, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga	Ensemble deep learning for regression and time series forecasting.	CIEL	2014	DBLP DOI BibTeX RDF
13	Yuan Dong	Modélisation probabiliste de classifieurs d'ensemble pour des problèmes à deux classes. (Probabilistic modeling of ensemble classifiers for two classes problems).		2013	RDF
13	Essam Soliman Debie, Kamran Shafi, Chris Lokan, Kathryn E. Merrick	Reduct based ensemble of learning classifier system for real-valued classification problems.	CIEL	2013	DBLP DOI BibTeX RDF
13	Nikolaos Gianniotis, Carsten Riggelsen	Visualisation of high-dimensional data using an ensemble of neural networks.	CIEL	2013	DBLP DOI BibTeX RDF
13	Zhiwen Yu 0002, Jane You, Hau-San Wong, Guoqiang Han	From cluster ensemble to structure ensemble.	Inf. Sci.	2012	DBLP DOI BibTeX RDF
13	Brijesh K. Verma, Ashfaqur Rahman	Cluster-Oriented Ensemble Classifier: Impact of Multicluster Characterization on Ensemble Classifier Learning.	IEEE Trans. Knowl. Data Eng.	2012	DBLP DOI BibTeX RDF
13	Takeshi Mizumoto, Tetsuya Ogata, Hiroshi G. Okuno	Who is the leader in a multiperson ensemble? - Multiperson human-robot ensemble model with leaderness -.	IROS	2012	DBLP DOI BibTeX RDF
13	Anna Jurek, Yaxin Bi, Shengli Wu 0001, Chris D. Nugent	A Cluster-Based Classifier Ensemble as an Alternative to the Nearest Neighbor Ensemble.	ICTAI	2012	DBLP DOI BibTeX RDF
13	Mark J. Embrechts, Christopher J. Gatti, Jonathan D. Linton, Thiemo Gruber, Bernhard Sick	Forecasting exchange rates with ensemble neural networks and ensemble K-PLS: A case study for the US Dollar per Indian Rupee.	IJCNN	2012	DBLP DOI BibTeX RDF
13	Hisham Ihshaish	Genetic Ensemble (G-Ensemble): An Evolutionary Computing Technique for Numerical Weather Prediction Enhancement.		2012	RDF
13	Oliver Korb, Patrick McCabe, Jason C. Cole	The Ensemble Performance Index: An Improved Measure for Assessing Ensemble Pose Prediction Performance.	J. Chem. Inf. Model.	2011	DBLP DOI BibTeX RDF
13	Karoly Livius Bakos, Paolo Gamba, P. Bura	Rapid estimation of point source chemical pollutant coverage in catastrophe situation using hierarchical binary decision tree ensemble and probability membership value based ensemble approaches.	WHISPERS	2011	DBLP DOI BibTeX RDF
13	Austin B. Yongye, Andreas Bender, Karina Martínez-Mayorga	Dynamic clustering threshold reduces conformer ensemble size while maintaining a biologically relevant ensemble.	J. Comput. Aided Mol. Des.	2010	DBLP DOI BibTeX RDF
13	Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas	An ensemble uncertainty aware measure for directed hill climbing ensemble pruning.	Mach. Learn.	2010	DBLP DOI BibTeX RDF
13	James D. Brown, Julie Demargne, Dong-Jun Seo, Yuqiong Liu	The Ensemble Verification System (EVS): A software tool for verifying ensemble forecasts of hydrometeorological and hydrologic variables at discrete locations.	Environ. Model. Softw.	2010	DBLP DOI BibTeX RDF
13	Kristin Potter, Andrew T. Wilson, Peer-Timo Bremer, Dean N. Williams, Charles M. Doutriaux, Valerio Pascucci, Chris R. Johnson 0001	Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data.	ICDM Workshops	2009	DBLP DOI BibTeX RDF
13	Herbert H. Tsang, Kay C. Wiese	SARNA-ensemble-predict: The effect of different dissimilarity metrics on a novel ensemble-based RNA secondary structure prediction algorithm.	CIBCB	2009	DBLP DOI BibTeX RDF
13	Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas	Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection.	ECAI	2008	DBLP DOI BibTeX RDF
13	Fabienne Rousset Regimbeau	Modélisation des bilans de surface et des débits sur la France, application à la prévision d'ensemble des débits. (Hydrological modelling over France, application to ensemble streamflow prediction).		2007	RDF
13	Sakthiaseelan Karthigasoo, Yu-N Cheah, Selvakumar Manickam	A knowledge discovery pipeline for medical decision support using clustering ensemble and neural network ensemble.	IADIS AC	2005	DBLP BibTeX RDF
13	Michael Gurevish, Chris Chafe, Grace Leslie, Sean Tyan	Simulation of Networked Ensemble Performance with Varying Time Delays: Characterization of Ensemble Accuracy.	ICMC	2004	DBLP BibTeX RDF
13	Shuang Yang	Multistage neural network ensemble : adaptive combination of ensemble results.		2003	RDF
13	Michael Goebel, Patricia J. Riddle, Mike Barley	A Unified Decomposition of Ensemble Loss for Predicting Ensemble Performance.	ICML	2002	DBLP BibTeX RDF
13	J. R. Tort	Un probleme de partition de l'ensemble des parties a trois elements d'un ensemble fini.	Discret. Math.	1983	DBLP DOI BibTeX RDF
13	F. Lapscher	Proprietes De "Longueur De Chaine" Dans L'ensemble Des Fermetures Superieures Sur Un Ensemble Ordonne.	Discret. Math.	1974	DBLP DOI BibTeX RDF
12	Michael D. Muhlbaier, Apostolos Topalis, Robi Polikar	Learn++.NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes.	IEEE Trans. Neural Networks	2009	DBLP DOI BibTeX RDF
12	Andrew Kilinga Kikombo, Tetsuya Asai, Yoshihito Amemiya	Pulse-Density Modulation with an Ensemble of Single-Electron Circuits Employing Neuronal Heterogeneity to Achieve High Temporal Resolution.	NanoNet	2009	DBLP DOI BibTeX RDF	neuromorphic LSIs, single-electron circuits, neural networks
12	Xavier Ceamanos, Björn Waske, Jón Atli Benediktsson, Jocelyn Chanussot, Johannes R. Sveinsson	Ensemble Strategies for Classifying Hyperspectral Remote Sensing Data.	MCS	2009	DBLP DOI BibTeX RDF	classifier ensmeble, support vector machines, multiple classifier systems, hyperspectral, land cover classification
12	Zhi-Hua Zhou	When Semi-supervised Learning Meets Ensemble Learning.	MCS	2009	DBLP DOI BibTeX RDF
12	Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte, Rudolf Kruse	Ensemble Learning for Multi-source Information Fusion.	ECSQARU	2009	DBLP DOI BibTeX RDF