Search results for "ensemble"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
18	Carey E. Priebe	Olfactory Classification via Interpoint Distance Analysis.	IEEE Trans. Pattern Anal. Mach. Intell.	2001	DBLP DOI BibTeX RDF	interpoint distance, rank statistic, subsample statistic, functional data, artificial nose, analytical chemistry, nearest-neighbor, combining classifiers, Ensemble classifiers, electronic nose, nonparametric, chemometrics
18	Hideaki Matsueda	Spatiotemporal Dynamics of Quantum Computing Solid Dipole-Dipole Block Systems.	QCQC	1998	DBLP DOI BibTeX RDF	dipole-dipole interaction, quantum dot array, solid block, quantum CCN gate, ensemble cancellation of errors, quantum entangled pure states
18	Dennis de Champeaux	Object-Oriented Analysis and Top-Down Software Development.	ECOOP	1991	DBLP DOI BibTeX RDF	OO-Analysis, ensemble, top-down
18	James T. Albrecht, Cy P. Chan, Alan Edelman	Sturm Sequences and Random Eigenvalue Distributions.	Found. Comput. Math.	2009	DBLP DOI BibTeX RDF	Mathematics Subject Classification (2000) 15A52, 15A90, 15A18
18	Nicolás García-Pedrajas	Constructing Ensembles of Classifiers by Means of Weighted Instance Selection.	IEEE Trans. Neural Networks	2009	DBLP DOI BibTeX RDF
18	Mohamed Farouk Abdel Hady, Friedhelm Schwenker	Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion.	MCS	2009	DBLP DOI BibTeX RDF
18	Onur Dolu, Kadir Kirtaç, Muhittin Gökmen	Ensembled gabor nearest neighbor classifier for face recognition.	ISCIS	2009	DBLP DOI BibTeX RDF
18	Jian Li, Stephen Swift, Xiaohui Liu 0001	Multi-Optimisation Consensus Clustering.	IDA	2009	DBLP DOI BibTeX RDF	Multi-optimisation, Simulated Annealing, Consensus Clustering
18	Gregory W. Hislop	Sharing instructional materials for IT degree programs.	SIGITE Conference	2009	DBLP DOI BibTeX RDF	sharing instructional materials
18	Yi Zhang 0006, W. Nick Street	Bagging with Adaptive Costs.	IEEE Trans. Knowl. Data Eng.	2008	DBLP DOI BibTeX RDF	Data mining, Mining methods and algorithms
18	Ahmed Abbasi, Hsinchun Chen, S. Thoms, Tianjun Fu	Affect Analysis of Web Forums and Blogs Using Correlation Ensembles.	IEEE Trans. Knowl. Data Eng.	2008	DBLP DOI BibTeX RDF
18	Chris Matthews, Esther Scheurmann	Ensembles of Classifiers in Arrears Management.	Soft Computing Applications in Business	2008	DBLP DOI BibTeX RDF	neural network and rule based ensembles, data set imbalance, loan default, arrears management
18	Junaed Sattar, Gregory Dudek	A Boosting Approach to Visual Servo-Control of an Underwater Robot.	ISER	2008	DBLP DOI BibTeX RDF
18	John Y. Chiang, Yen-Ren Huang	A Spatial Similarity Ranking Framework for Symbolic Pictures Retrieval.	ISM	2008	DBLP DOI BibTeX RDF
18	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo	Researching on combining boosting ensembles.	IJCNN	2008	DBLP DOI BibTeX RDF
18	Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski	Using neural network emulations of model physics in numerical model ensembles.	IJCNN	2008	DBLP DOI BibTeX RDF
18	Marcílio Carlos Pereira de Souto, Rodrigo G. F. Soares, Alixandre Santana, Anne M. P. Canuto	Empirical comparison of Dynamic Classifier Selection methods based on diversity and accuracy for building ensembles.	IJCNN	2008	DBLP DOI BibTeX RDF
18	Fernanda L. Minku, Xin Yao 0001	On-line bagging Negative Correlation Learning.	IJCNN	2008	DBLP DOI BibTeX RDF
18	Ilya Sutskever, Vinod Nair	Mimicking Go Experts with Convolutional Neural Networks.	ICANN (2)	2008	DBLP DOI BibTeX RDF	Move prediction, Go, Convolutional Neural Networks
18	Alexandra Scherbart, Tim W. Nattkemper	The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method.	ICONIP (2)	2008	DBLP DOI BibTeX RDF
18	Hossein Pishro-Nik, Faramarz Fekri	Results on Punctured Low-Density Parity-Check Codes and Improved Iterative Decoding Techniques.	IEEE Trans. Inf. Theory	2007	DBLP DOI BibTeX RDF
18	Bruno Baruque, Emilio Corchado, Hujun Yin	ViSOM Ensembles for Visualization and Classification.	IWANN	2007	DBLP DOI BibTeX RDF
18	Nazife Dimililer, Ekrem Varoglu, Hakan Altinçay	Vote-Based Classifier Selection for Biomedical NER Using Genetic Algorithms.	IbPRIA (2)	2007	DBLP DOI BibTeX RDF
18	Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez 0001	Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles.	IDEAL	2007	DBLP DOI BibTeX RDF
18	Kai Lienemann, Thomas Plötz, Gernot A. Fink	On the Application of SVM-Ensembles Based on Adapted Random Subspace Sampling for Automatic Classification of NMR Data.	MCS	2007	DBLP DOI BibTeX RDF
18	Juan José Rodríguez, Ludmila I. Kuncheva	Naïve Bayes Ensembles with a Random Oracle.	MCS	2007	DBLP DOI BibTeX RDF
18	John-Paul Renno, Dimitrios Makris 0001, Graeme A. Jones	Object Classification in Visual Surveillance Using Adaboost.	CVPR	2007	DBLP DOI BibTeX RDF
18	Daqi Gao, Xiaoning Sun	Function approximation model ensembles and their application to the simultaneous determination of sample categories and positions.	IJCNN	2007	DBLP DOI BibTeX RDF
18	Ulf Johansson, Tuve Löfström, Lars Niklasson	The Importance of Diversity in Neural Network Ensembles - An Empirical Investigation.	IJCNN	2007	DBLP DOI BibTeX RDF
18	Yu Fu 0001, Antony Browne	Using Ensembles of Neural Networks to Improve Automatic Relevance Determination.	IJCNN	2007	DBLP DOI BibTeX RDF
18	Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski	Ensembles of Multi-Objective Decision Trees.	ECML	2007	DBLP DOI BibTeX RDF
18	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo	Stacking MF Networks to Combine the Outputs Provided by RBF Networks.	ICANN (1)	2007	DBLP DOI BibTeX RDF
18	Lior Rokach, Barak Chizi, Oded Maimon	Feature Selection by Combining Multiple Methods.	Advances in Web Intelligence and Data Mining	2006	DBLP DOI BibTeX RDF
18	Luiz S. Oliveira, Marisa E. Morita, Robert Sabourin	Feature Selection for Ensembles Using the Multi-Objective Optimization Approach.	Multi-Objective Machine Learning	2006	DBLP DOI BibTeX RDF
18	Henrik Mathiassen, Daniel Ortiz Arroyo	Automatic Categorization of Patent Applications Using Classifier Combinations.	IDEAL	2006	DBLP DOI BibTeX RDF	Machine Learning, Knowledge Management, Categorization
18	Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Ioannis D. Zaharakis	Bagged Averaging of Regression Models.	AIAI	2006	DBLP DOI BibTeX RDF
18	Stavroula G. Mougiakakou, Ioannis K. Valavanis, Alexandra Nikita, Konstantina S. Nikita	Computer Aided Diagnosis of CT Focal Liver Lesions based on Texture Features, Feature Selection and Ensembles of Classifiers.	AIAI	2006	DBLP DOI BibTeX RDF
18	Raymond S. Smith, Josef Kittler, Miroslav Hamouz, John Illingworth	Face Recognition Using Angular LDA and SVM Ensembles.	ICPR (3)	2006	DBLP DOI BibTeX RDF
18	Christian Bauckhage, Thomas Käster, John K. Tsotsos	Applying Ensembles of Multilinear Classifiers in the Frequency Domain.	CVPR (1)	2006	DBLP DOI BibTeX RDF
18	Alixandre Santana, Rodrigo G. F. Soares, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto	A Dynamic Classifier Selection Method to Build Ensembles using Accuracy and Diversity.	SBRN	2006	DBLP DOI BibTeX RDF
18	Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski, Marcin Szelag	Ensembles of Decision Rules for Solving Binary Classification Problems in the Presence of Missing Values.	RSCTC	2006	DBLP DOI BibTeX RDF
18	Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez 0001	Pruning in Ordered Regression Bagging Ensembles.	IJCNN	2006	DBLP DOI BibTeX RDF
18	Ying Yang 0001, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting	To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles.	ECML	2006	DBLP DOI BibTeX RDF
18	Fei Tony Liu, Kai Ming Ting	Variable Randomness in Decision Tree Ensembles.	PAKDD	2006	DBLP DOI BibTeX RDF
18	Joshua Gluckman	Higher Order Image Pyramids.	ECCV (2)	2006	DBLP DOI BibTeX RDF
18	Pranab Sen	Random Measurement Bases, Quantum State Distinction and Applications to the Hidden Subgroup Problem.	CCC	2006	DBLP DOI BibTeX RDF
18	Tin Kam Ho	Symmetries from Uniform Space Covering in Stochastic Discrimination.	SSPR/SPR	2006	DBLP DOI BibTeX RDF
18	Guosen Yue, Xiaodong Wang 0001	Optimization of irregular repeat accumulate codes for MIMO systems with iterative receivers.	IEEE Trans. Wirel. Commun.	2005	DBLP DOI BibTeX RDF
18	Paul H. E. Tiesinga, J. Vincent Toups	The Possible Role of Spike Patterns in Cortical Information Processing.	J. Comput. Neurosci.	2005	DBLP DOI BibTeX RDF	reliability, noise, precision, synchrony, cortex
18	Steve Zhang, Ira Cohen, Moisés Goldszmidt, Julie Symons, Armando Fox	Ensembles of Models for Automated Diagnosis of System Performance Problems.	DSN	2005	DBLP DOI BibTeX RDF
18	Nitesh V. Chawla	Many Are Better Than One: Improving Probabilistic Estimates from Decision Trees.	MLCW	2005	DBLP DOI BibTeX RDF
18	Pablo Alberto Dalbem de Castro, Guilherme Palermo Coelho, Marcelo F. Caetano, Fernando J. Von Zuben	Designing Ensembles of Fuzzy Classification Systems: An Immune-Inspired Approach.	ICARIS	2005	DBLP DOI BibTeX RDF
18	Petra Povalej, Mitja Lenic, Peter Kokol	Improving Ensembles with Classificational Cellular Automata.	IDEAL	2005	DBLP DOI BibTeX RDF
18	Hakan Altinçay, Ali Tüzel	Combination of Boosted Classifiers Using Bounded Weights.	ICAPR (1)	2005	DBLP DOI BibTeX RDF
18	Nitesh V. Chawla, Kevin W. Bowyer	Random Subspaces and Subsampling for 2-D Face Recognition.	CVPR (2)	2005	DBLP DOI BibTeX RDF
18	Fei Tony Liu, Kai Ming Ting, Wei Fan 0001	Maximizing Tree Diversity by Building Complete-Random Decision Trees.	PAKDD	2005	DBLP DOI BibTeX RDF
18	Esther Scheurmann, Chris Matthews	Neural Network Classifers in Arrears Management.	ICANN (2)	2005	DBLP DOI BibTeX RDF	minority over-sampling, majority under-sampling, loan default, arrears management, neural network ensembles
18	Hakan Altinçay	Optimal resampling and classifier prototype selection in classifier ensembles using genetic algorithms.	Pattern Anal. Appl.	2004	DBLP DOI BibTeX RDF	Optimal resampling, Multiple prototype ensembles, Genetic algorithms, Diversity, Boosting, Bagging, Classifier ensembles
18	Niall Rooney, David W. Patterson, Sarab S. Anand, Alexey Tsymbal	Dynamic Integration of Regression Models.	Multiple Classifier Systems	2004	DBLP DOI BibTeX RDF
18	Ludmila I. Kuncheva, Stefan Todorov Hadjitodorov	Using diversity in cluster ensembles.	SMC (2)	2004	DBLP DOI BibTeX RDF
18	Fang Chu, Carlo Zaniolo	Fast and Light Boosting for Adaptive Mining of Data Streams.	PAKDD	2004	DBLP DOI BibTeX RDF	adaptive boosting ensembles, change detection, Stream data mining
18	Hongyu Guo, Herna L. Viktor	Boosting with Data Generation: Improving the Classification of Hard to Learn Examples.	IEA/AIE	2004	DBLP DOI BibTeX RDF
18	Sabine M. McConnell, David B. Skillicorn	Building predictors from vertically distributed data.	CASCON	2004	DBLP BibTeX RDF
18	Juan José Rodríguez, Carlos J. Alonso	Rotation-Based Ensembles.	CAEPIA	2003	DBLP DOI BibTeX RDF
18	Zhi-Hua Zhou, Min-Ling Zhang	Ensembles of Multi-instance Learners.	ECML	2003	DBLP DOI BibTeX RDF
18	Claudio Basile, Long Wang 0003, Zbigniew Kalbarczyk, Ravishankar K. Iyer	Group Communication Protocols under Errors.	SRDS	2003	DBLP DOI BibTeX RDF
18	Amanda J. C. Sharkey	Types of Multinet System.	Multiple Classifier Systems	2002	DBLP DOI BibTeX RDF
18	Giorgio Valentini, Thomas G. Dietterich	Bias-Variance Analysis and Ensembles of SVM.	Multiple Classifier Systems	2002	DBLP DOI BibTeX RDF
18	Xuhui Ao, Naftaly H. Minsky, Thu D. Nguyen	A Hierarchical Policy Specification Language and Enforcement Mechanism for Governing Digital Enterprises.	POLICY	2002	DBLP DOI BibTeX RDF
18	Aleksandar Lazarevic, Zoran Obradovic	The distributed boosting algorithm.	KDD	2001	DBLP DOI BibTeX RDF	Boosting, classifier ensembles, distributed learning
18	John Yiannis Cotronis, Zacharias Tsiatsoulis, C. Kouniakis	Composition of Message Passing Applications On-Demand.	PVM/MPI	2000	DBLP DOI BibTeX RDF
18	Christos Andrea Antoniou, T. Jeff Reynolds	Modular neural networks exploit multiple front-ends to improve speech recognition systems.	KES	2000	DBLP DOI BibTeX RDF
18	Jason Hickey	Fault-Tolerant Distributed Theorem Proving.	CADE	1999	DBLP DOI BibTeX RDF
18	Yong Liu 0012, Xin Yao 0001	Towards Designing Neural Network Ensembles by Evolution.	PPSN	1998	DBLP DOI BibTeX RDF
18	Lars Kai Hansen, Jan Larsen	Linear unlearning for cross-validation.	Adv. Comput. Math.	1996	DBLP DOI BibTeX RDF
13	Melpomeni Kasapi, Kexin Xu, Timothy M. D. Ebbels, Declan P. O'Regan, James S. Ware, Joram M. Posma	LAVASET: Latent Variable Stochastic Ensemble of Trees. An ensemble method for correlated datasets with spatial, spectral, and temporal dependencies.	Bioinform.	2024	DBLP DOI BibTeX RDF
13	Chenhao Fang, Xiaohan Li 0001, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan	LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction.	CoRR	2024	DBLP DOI BibTeX RDF
13	G. Anitha, J. Martin Leo Manickam, Surapaneni Krishna Mohan	Enhanced stacking ensemble Model: A statistical ensemble pruning framework to classify anxiety severity for responsive emergency preparedness.	Biomed. Signal Process. Control.	2024	DBLP DOI BibTeX RDF
13	Zahra Nouri, Vahid Kiani, Hamid Fadishei	Rarity updated ensemble with oversampling: An ensemble approach to classification of imbalanced data streams.	Stat. Anal. Data Min.	2024	DBLP DOI BibTeX RDF
13	Raquel Rodriguez-Garcia, Julio Reyes-Montesinos, Jesus M. Fraile-Hernandez, Anselmo Peñas	HAMiSoN-Ensemble at ClimateActivism 2024: Ensemble of RoBERTa, Llama 2, and Multi-task for Stance Detection.	CASE	2024	DBLP BibTeX RDF
13	Javokhir Musaev, Abdulaziz Anorboev, Yeong-Seok Seo, Ngoc Thanh Nguyen 0001, Dosam Hwang	ICNN-Ensemble: An Improved Convolutional Neural Network Ensemble Model for Medical Image Classification.	IEEE Access	2023	DBLP DOI BibTeX RDF
13	Tatsuhito Hasegawa, Kazuma Kondo	Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity Recognition.	IEEE Internet Things J.	2023	DBLP DOI BibTeX RDF
13	Bastian Pfeifer, Hryhorii Chereda, Roman Martin, Anna Saranti, Sandra Clemens, Anne-Christin Hauschild, Tim Beißbarth, Andreas Holzinger, Dominik Heider	Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.	Bioinform.	2023	DBLP DOI BibTeX RDF
13	Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Shanghang Zhang, Kurt Keutzer	Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting.	CoRR	2023	DBLP DOI BibTeX RDF
13	Andrey A. Popov, Renato Zanetti	Ensemble-localized Kernel Density Estimation with Applications to the Ensemble Gaussian Mixture Filter.	CoRR	2023	DBLP DOI BibTeX RDF
13	Alexandru Petrescu, Ciprian-Octavian Truica, Elena Simona Apostol, Adrian Paschke	EDSA-Ensemble: an Event Detection Sentiment Analysis Ensemble Architecture.	CoRR	2023	DBLP DOI BibTeX RDF
13	Moshe Sipper	Classy Ensemble: A Novel Ensemble Algorithm for Classification.	CoRR	2023	DBLP DOI BibTeX RDF
13	Dong Xue, Jianfeng Yu, Yuan Li, He Zhang, Xin Tong	A novel ensemble of metamodels using improved stepwise metamodel selection and two-layer pointwise ensemble.	Adv. Eng. Informatics	2023	DBLP DOI BibTeX RDF
13	Ahmed Fathalla, Zakaria Alameer, Mohamed Abbas, Ahmed Ali	A Deep Learning Ensemble Method for Forecasting Daily Crude Oil Price Based on Snapshot Ensemble of Transformer Model.	Comput. Syst. Sci. Eng.	2023	DBLP DOI BibTeX RDF
13	Wenjun Li, Zikang Wang, Wei Sun, Sara Bahrami	An Ensemble Clustering Framework Based on Hierarchical Clustering Ensemble Selection and Clusters Clustering.	Cybern. Syst.	2023	DBLP DOI BibTeX RDF
13	Zhaomin Yao, Wenxin Mao, Zhiguo Wang, Guoxu Zhang	FC-Ensemble: An Ensemble Data Enhancement Method to Increase the Performance of Analysis the Staging of Alzheimer's Disease Based on Brain MRI.	ISAIMS	2023	DBLP DOI BibTeX RDF
13	Zhi Cao, Shuyi Zhang, Chin-Teng Lin	Online Ensemble of Ensemble OVA Framework for Class Evolution with Dominant Emerging Classes.	ICDM	2023	DBLP DOI BibTeX RDF
13	Yi Cai 0003, Xuefei Ning, Huazhong Yang, Yu Wang 0002	Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness.	AAAI	2023	DBLP DOI BibTeX RDF
13	Gang Yao, Xiaojian Hu, Guanxiong Wang	A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain.	Expert Syst. Appl.	2022	DBLP DOI BibTeX RDF
13	Yufei Cui, Shangyu Wu, Qiao Li 0001, Antoni B. Chan, Tei-Wei Kuo, Chun Jason Xue	Bits-Ensemble: Toward Light-Weight Robust Deep Ensemble by Bits-Sharing.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2022	DBLP DOI BibTeX RDF
13	Tatsuhito Hasegawa, Kazuma Kondo	Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity Recognition.	CoRR	2022	DBLP DOI BibTeX RDF
13	Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Dmitry Akimov, Sergey Kolesnikov	Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size.	CoRR	2022	DBLP DOI BibTeX RDF
13	Vanessa A. Godoy, Gian F. Napa-García, J. Jaime Gómez-Hernández	Ensemble random forest filter: An alternative to the ensemble Kalman filter for inverse modeling.	CoRR	2022	DBLP DOI BibTeX RDF
13	Amin Hashemi, Mehdi Joodaki, Nazanin Zahra Joodaki, Mohammad Bagher Dowlatshahi	Ant colony optimization equipped with an ensemble of heuristics through multi-criteria decision making: A case study in ensemble feature selection.	Appl. Soft Comput.	2022	DBLP DOI BibTeX RDF
13	Vani Rajasekar, Sathya Krishnamoorthi, Muzafer Saracevic, Dzenis Pepic, Mahir Zajmovic, Haris Zogic	Ensemble Machine Learning Methods to Predict the Balancing of Ayurvedic Constituents in the Human Body Ensemble Machine Learning Methods to Predict.	Comput. Sci.	2022	DBLP DOI BibTeX RDF