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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
The graphs summarize 2043 occurrences of 958 keywords
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Results
Found 20639 publication records. Showing 20639 according to the selection in the facets
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, July 25-28, 2010, pp. 871-880, 2010, ACM, 978-1-4503-0055-1. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
ensemble pruning, ensemble learning |
67 | Zhi-Hua Zhou, Yuan Jiang 0001 |
NeC4.5: Neural Ensemble Based C4.5. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Knowl. Data Eng. ![In: IEEE Trans. Knowl. Data Eng. 16(6), pp. 770-773, 2004. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Knowl. Data Eng. ![In: IEEE Trans. Knowl. Data Eng. 21(7), pp. 999-1013, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
60 | Shenglan Ben, Guangda Su, Youshou Wu |
A Two-Step Selective Region Ensemble for Facial Age Estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIC (2) ![In: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings, pp. 622-632, 2008, Springer, 978-3-540-85983-3. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIC (1) ![In: Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings, pp. 106-113, 2008, Springer, 978-3-540-87440-9. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Australian Joint Conference on Artificial Intelligence ![In: AI 2002: Advances in Artificial Intelligence, 15th Australian Joint Conference on Artificial Intelligence, Canberra, Australia, December 2-6, 2002, Proceedings, pp. 511-522, 2002, Springer, 3-540-00197-2. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
55 | Geoffrey I. Webb, Zijian Zheng |
Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Knowl. Data Eng. ![In: IEEE Trans. Knowl. Data Eng. 16(8), pp. 980-991, 2004. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML/PKDD (1) ![In: Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I, pp. 34, 2009, Springer, 978-3-642-04179-2. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CIARP ![In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, Guadalajara, Jalisco, Mexico, November 15-18, 2009. Proceedings, pp. 481-488, 2009, Springer, 978-3-642-10267-7. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PAKDD ![In: Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings, pp. 351-362, 2009, Springer, 978-3-642-01306-5. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIC (2) ![In: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings, pp. 1162-1171, 2007, Springer, 978-3-540-74201-2. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SSPR/SPR ![In: Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 Proceedings, pp. 583-591, 2004, Springer, 3-540-22570-6. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 22(6), pp. 554-569, 2000. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICDM Workshops ![In: Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China, pp. 878-882, 2006, IEEE Computer Society, 0-7695-2702-7. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN ![In: Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006, pp. 4587-4594, 2006, IEEE, 0-7803-9490-9. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
49 | Chun-Xia Zhang 0002, Jiang-She Zhang 0001 |
A novel method for constructing ensemble classifiers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 19(3), pp. 317-327, 2009. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (3) ![In: Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part III, pp. 49-58, 2009, Springer, 978-3-642-01512-0. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICANN (1) ![In: Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I, pp. 90-99, 2009, Springer, 978-3-642-04273-7. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CIARP ![In: Progress in Pattern Recognition, Image Analysis and Applications, 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, Havana, Cuba, September 9-12, 2008. Proceedings, pp. 340-347, 2008, Springer, 978-3-540-85919-2. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICANN (1) ![In: Artificial Neural Networks - ICANN 2008 , 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I, pp. 245-254, 2008, Springer, 978-3-540-87535-2. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Ensemble systems, Feature distribution in Ensembles, Diversity |
49 | Genlin Ji, Xiaohan Ling |
Ensemble Learning Based Distributed Clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PAKDD Workshops ![In: Emerging Technologies in Knowledge Discovery and Data Mining, PAKDD 2007, International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers, pp. 312-321, 2007, Springer, 978-3-540-77016-9. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 28(6), pp. 917-929, 2006. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2006, Proceedings, Seattle, Washington, USA, July 8-12, 2006, pp. 791-798, 2006, ACM, 1-59593-186-4. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24 - 27, 2003, pp. 226-235, 2003, ACM, 1-58113-737-0. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Pattern Anal. Appl. ![In: Pattern Anal. Appl. 5(2), pp. 154-167, 2002. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MCS ![In: Multiple Classifier Systems, 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007, Proceedings, pp. 103-112, 2007, Springer, 978-3-540-72481-0. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CIDM ![In: Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2009, part of the IEEE Symposium Series on Computational Intelligence 2009, Nashville, TN, USA, March 30, 2009 - April 2, 2009, pp. 245-251, 2009, IEEE, 978-1-4244-2765-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
48 | Hongbo Shi, Yali Lv |
An Ensemble Classifier Based on Attribute Selection and Diversity Measure. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FSKD (2) ![In: Fifth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008, 18-20 October 2008, Jinan, Shandong, China, Proceedings, Volume 2, pp. 106-110, 2008, IEEE Computer Society. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
48 | Bingjie Liu, Changhua Hu |
Integrated Neural Network Ensemble Algorithm Based on Clustering Technology. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICONIP (1) ![In: Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I, pp. 718-726, 2006, Springer, 3-540-46479-4. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
48 | Gang Li 0009, Honghua Dai 0001 |
Study of Ensemble Strategies in Discovering Linear Causal Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FSKD (2) ![In: Fuzzy Systems and Knowledge Discovery, Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II, pp. 368-377, 2005, Springer, 3-540-28331-5. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
48 | Qian Wu, Carey L. Williamson |
Improving Ensemble-TCP Performance on Asymmetric Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MASCOTS ![In: 9th International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2001), 15-18 August 2001, Cincinnati, OH, USA, pp. 205-214, 2001, IEEE Computer Society, 0-7695-1315-8. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
|
48 | Pitoyo Hartono, Shuji Hashimoto |
Effective Learning in Noisy Environment Using Neural Network Ensemble. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN (2) ![In: Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 2, pp. 179-184, 2000, IEEE Computer Society. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
|
48 | Yi Ding 0007, Xufu Peng, Xian Fu |
The Research of Negative Correlation Learning Based on Artificial Neural Network. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (1) ![In: Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part I, pp. 804-812, 2009, Springer, 978-3-642-01506-9. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SC-MTAGS ![In: Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers, MTAGS 2009, November 16, 2009, Portland, Oregon, USA, 2009, ACM, 978-1-60558-714-1. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2008, Proceedings, Atlanta, GA, USA, July 12-16, 2008, pp. 681-688, 2008, ACM, 978-1-60558-130-9. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Electron. Test. ![In: J. Electron. Test. 23(4), pp. 323-339, 2007. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Multiple Classifier Systems ![In: Multiple Classifier Systems, 4th International Workshop, MCS 2003, Guilford, UK, June 11-13, 2003, Proceedings, pp. 206-216, 2003, Springer, 3-540-40369-8. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISICA ![In: Advances in Computation and Intelligence, 4th International Symposium, ISICA 2009, Huangshi, China, Ocotober 23-25, 2009, Proceedings, pp. 163-170, 2009, Springer, 978-3-642-04842-5. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
48 | Huanhuan Chen, Xin Yao 0001 |
Evolutionary random neural ensembles based on negative correlation learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Congress on Evolutionary Computation ![In: Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2007, 25-28 September 2007, Singapore, pp. 1468-1474, 2007, IEEE, 978-1-4244-1339-3. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RSKT ![In: Rough Sets and Knowledge Technology, Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, Proceedings, pp. 518-525, 2007, Springer, 978-3-540-72457-5. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Comput. Sci. Technol. ![In: J. Comput. Sci. Technol. 21(1), pp. 116-125, 2006. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EnSEmble@ESEC/SIGSOFT FSE ![ACM, 978-1-4503-6853-7 The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EnSEmble@ESEC/SIGSOFT FSE ![In: 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., pp. 1-8, 2019, ACM, 978-1-4503-6853-7. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
43 | J. David Patón-Romero, Maria Teresa Baldassarre, Moisés Rodríguez, Mario Piattini |
Assessing the greenability of ensembles. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EnSEmble@ESEC/SIGSOFT FSE ![In: 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., pp. 9-15, 2019, ACM, 978-1-4503-6853-7. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
43 | Marina Ribaudo, Andrea Valenza |
Semi-automatic generation of cybersecurity exercises: a preliminary proposal. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EnSEmble@ESEC/SIGSOFT FSE ![In: 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., pp. 16-21, 2019, ACM, 978-1-4503-6853-7. The full citation details ...](Pics/full.jpeg) |
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 ![Search on Bibsonomy](Pics/bibsonomy.png) |
EnSEmble@ESEC/SIGSOFT FSE ![ACM, 978-1-4503-6054-8 The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EnSEmble@ESEC/SIGSOFT FSE ![In: 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, pp. 9-12, 2018, ACM, 978-1-4503-6054-8. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EnSEmble@ESEC/SIGSOFT FSE ![In: 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, pp. 19-24, 2018, ACM, 978-1-4503-6054-8. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EnSEmble@ESEC/SIGSOFT FSE ![In: 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, pp. 13-18, 2018, ACM, 978-1-4503-6054-8. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EnSEmble@ESEC/SIGSOFT FSE ![In: 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, pp. 1-8, 2018, ACM, 978-1-4503-6054-8. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
43 | Georg Krempl, Vera Hofer |
Partitioner Trees for Classification: A New Ensemble Method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Applications of Supervised and Unsupervised Ensemble Methods ![In: Applications of Supervised and Unsupervised Ensemble Methods, pp. 93-112, 2009, Springer, 978-3-642-03998-0. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
43 | Angelo Ciaramella, Giulio Giunta, Angelo Riccio, Stefano Galmarini |
Independent Data Model Selection for Ensemble Dispersion Forecasting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Applications of Supervised and Unsupervised Ensemble Methods ![In: Applications of Supervised and Unsupervised Ensemble Methods, pp. 213-231, 2009, Springer, 978-3-642-03998-0. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
43 | Grigorios Tsoumakas, Ioannis Partalas, Ioannis P. Vlahavas |
An Ensemble Pruning Primer. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Applications of Supervised and Unsupervised Ensemble Methods ![In: Applications of Supervised and Unsupervised Ensemble Methods, pp. 1-13, 2009, Springer, 978-3-642-03998-0. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
43 | Andre Kalamandeen, Adin Scannell, Eyal de Lara, Anmol Sheth, Anthony LaMarca |
Ensemble: cooperative proximity-based authentication. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MobiSys ![In: Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services (MobiSys 2010), San Francisco, California, USA, June 15-18, 2010, pp. 331-344, 2010, ACM, 978-1-60558-985-5. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACML ![In: Advances in Machine Learning, First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009. Proceedings, pp. 308-321, 2009, Springer, 978-3-642-05223-1. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (2) ![In: Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part II, pp. 287-295, 2009, Springer, 978-3-642-01509-0. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIC (1) ![In: Emerging Intelligent Computing Technology and Applications, 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009. Proceedings, pp. 46-54, 2009, Springer, 978-3-642-04069-6. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GEC Summit ![In: Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, GEC Summit 2009, Shanghai, China, June 12-14, 2009, pp. 437-442, 2009, ACM, 978-1-60558-326-6. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GEC Summit ![In: Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, GEC Summit 2009, Shanghai, China, June 12-14, 2009, pp. 961-964, 2009, ACM, 978-1-60558-326-6. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RecSys ![In: Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York, NY, USA, October 23-25, 2009, pp. 261-264, 2009, ACM, 978-1-60558-435-5. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICANN (1) ![In: Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I, pp. 817-823, 2009, Springer, 978-3-642-04273-7. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ADMA ![In: Advanced Data Mining and Applications, 5th International Conference, ADMA 2009, Beijing, China, August 17-19, 2009. Proceedings, pp. 314-325, 2009, Springer, 978-3-642-03347-6. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ADMA ![In: Advanced Data Mining and Applications, 5th International Conference, ADMA 2009, Beijing, China, August 17-19, 2009. Proceedings, pp. 536-544, 2009, Springer, 978-3-642-03347-6. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing ![In: Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, pp. 217-226, 2008, Springer, 978-3-540-70559-8. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Soft Computing Applications in Business ![In: Soft Computing Applications in Business, pp. 57-72, 2008, Springer, 978-3-540-79004-4. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (1) ![In: Advances in Neural Networks - ISNN 2008, 5th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part I, pp. 521-530, 2008, Springer, 978-3-540-87731-8. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
APGV ![In: Proceedings of the 5th Symposium on Applied Perception in Graphics and Visualization, APGV 2008, Los Angeles, California, USA, August 9-10, 2008, pp. 163-170, 2008, ACM, 978-1-59593-981-4. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
HAIS ![In: Hybrid Artificial Intelligence Systems, Third International Workshop, HAIS 2008, Burgos, Spain, September 24-26, 2008. Proceedings, pp. 755-763, 2008, Springer, 978-3-540-87655-7. The full citation details ...](Pics/full.jpeg) |
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? ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2007, Proceedings, London, England, UK, July 7-11, 2007, pp. 1782-1789, 2007, ACM, 978-1-59593-697-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
evolutionary computation, ensemble learning |
43 | Danico Lee, Costas Tsatsoulis |
Intelligent data entry assistant for XML using ensemble learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IUI ![In: Proceedings of the 10th International Conference on Intelligent User Interfaces, IUI 2005, San Diego, California, USA, January 10-13, 2005, pp. 83-89, 2005, ACM, 1-58113-894-6. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
autofill, XML, machine learning, ensemble learning |
43 | Yongdai Kim, Jinseog Kim |
Convex Hull Ensemble Machine for Regression and Classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Knowl. Inf. Syst. ![In: Knowl. Inf. Syst. 6(6), pp. 645-663, 2004. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
International Conference on Computational Science ![In: Computational Science - ICCS 2004, 4th International Conference, Kraków, Poland, June 6-9, 2004, Proceedings, Part IV, pp. 931-939, 2004, Springer, 3-540-22129-8. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WILF ![In: Fuzzy Logic and Applications, 5th International Workshop, WILF 2003, Naples, Italy, October 9-11, 2003, Revised Selected Papers, pp. 317-323, 2003, Springer, 3-540-31019-3. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Discovery Science ![In: Discovery Science, 5th International Conference, DS 2002, Lübeck, Germany, November 24-26, 2002, Proceedings, pp. 165-177, 2002, Springer, 3-540-00188-3. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISCA ![In: 37th International Symposium on Computer Architecture (ISCA 2010), June 19-23, 2010, Saint-Malo, France, pp. 163-174, 2010, ACM, 978-1-4503-0053-7. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPR ![In: 19th International Conference on Pattern Recognition (ICPR 2008), December 8-11, 2008, Tampa, Florida, USA, pp. 1-4, 2008, IEEE Computer Society, 978-1-4244-2175-6. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CDC ![In: Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico, pp. 3199-3204, 2008, IEEE, 978-1-4244-3123-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
42 | Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano |
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICTAI (2) ![In: 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), October 29-31, 2007, Patras, Greece, Volume 2, pp. 183-188, 2007, IEEE Computer Society. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
42 | Hussein A. Abbass |
Pareto-Optimal Approaches to Neuro-Ensemble Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Multi-Objective Machine Learning ![In: Multi-Objective Machine Learning, pp. 407-427, 2006, Springer, 978-3-540-30676-4. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
42 | Rich Caruana, Art Munson, Alexandru Niculescu-Mizil |
Getting the Most Out of Ensemble Selection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICDM ![In: Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China, pp. 828-833, 2006, IEEE Computer Society, 0-7695-2701-9. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
42 | Hsuan-Tien Lin, Ling Li |
Infinite Ensemble Learning with Support Vector Machines. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML ![In: Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings, pp. 242-254, 2005, Springer, 3-540-29243-8. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
42 | Suyu Mei, Yue Liu, Gengfeng Wu, Bofeng Zhang |
Rough reducts based SVM ensemble. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GrC ![In: 2005 IEEE International Conference on Granular Computing, Beijing, China, July 25-27, 2005, pp. 571-574, 2005, IEEE, 0-7803-9017-2. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
42 | Chanho Park, Sung-Bae Cho |
Evolutionary Computation for Optimal Ensemble Classifier in Lymphoma Cancer Classification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISMIS ![In: Foundations of Intelligent Systems, 14th International Symposium, ISMIS 2003, Maebashi City, Japan, October 28-31, 2003, Proceedings, pp. 521-530, 2003, Springer, 3-540-20256-0. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
|
42 | Zhi-Hua Zhou, Wei Tang |
Selective Ensemble of Decision Trees. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RSFDGrC ![In: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 9th International Conference, RSFDGrC 2003, Chongqing, China, May 26-29, 2003, Proceedings, pp. 476-483, 2003, Springer, 3-540-14040-9. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
|
42 | Chi-Hoon Lee |
Learning to combine discriminative classifiers: confidence based. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, July 25-28, 2010, pp. 743-752, 2010, ACM, 978-1-4503-0055-1. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009, pp. 57-64, 2009, ACM, 978-1-60558-325-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
classification, particle swarm optimization, ensemble |
42 | Marek Bundzel, Peter Sincak |
Ensembling Classifiers Using Unsupervised Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICAISC ![In: Artificial Intelligence and Soft Computing - ICAISC 2008, 9th International Conference, Zakopane, Poland, June 22-26, 2008, Proceedings, pp. 513-521, 2008, Springer, 978-3-540-69572-1. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GECCO ![In: Genetic and Evolutionary Computation Conference, GECCO 2007, Proceedings, London, England, UK, July 7-11, 2007, pp. 1751, 2007, ACM, 978-1-59593-697-4. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IMSCCS ![In: Proceeding of the Second International Multi-Symposium of Computer and Computational Sciences (IMSCCS 2007), August 13-15, 2007, The University of Iowa, Iowa City, Iowa, USA, pp. 32-37, 2007, IEEE Computer Society, 0-7695-3039-7. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Document Analysis Systems ![In: Document Analysis Systems VI, 6th International Workshop, DAS 2004, Florence, Italy, September 8-10, 2004, Proceedings, pp. 286-297, 2004, Springer, 3-540-23060-2. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Knowl. Data Eng. ![In: IEEE Trans. Knowl. Data Eng. 19(4), pp. 500-508, 2007. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML ![In: Machine Learning: EMCL 2001, 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001, Proceedings, pp. 576-587, 2001, Springer, 3-540-42536-5. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
|
42 | Padraig Cunningham, John Carney |
Diversity versus Quality in Classification Ensembles Based on Feature Selection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML ![In: Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31 - June 2, 2000, Proceedings, pp. 109-116, 2000, Springer, 3-540-67602-3. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
|
37 | Yuan Jiang 0001, Zhi-Hua Zhou |
SOM Ensemble-Based Image Segmentation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Process. Lett. ![In: Neural Process. Lett. 20(3), pp. 171-178, 2004. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Pattern Anal. Appl. ![In: Pattern Anal. Appl. 6(4), pp. 285-300, 2004. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SAC ![In: Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), Sierre, Switzerland, March 22-26, 2010, pp. 1002-1009, 2010, ACM, 978-1-60558-639-7. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, July 25-28, 2010, pp. 95-104, 2010, ACM, 978-1-4503-0055-1. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CIVR ![In: Proceedings of the 9th ACM International Conference on Image and Video Retrieval, CIVR 2010, Xi'an, China, July 5-7, 2010, pp. 158-165, 2010, ACM, 978-1-4503-0117-6. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MLDM ![In: Machine Learning and Data Mining in Pattern Recognition, 6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25, 2009. Proceedings, pp. 206-220, 2009, Springer, 978-3-642-03069-7. The full citation details ...](Pics/full.jpeg) |
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. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISNN (1) ![In: Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part I, pp. 661-669, 2009, Springer, 978-3-642-01506-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Neural networks, Machine learning, Incremental learning, Neural network ensemble |
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