Combining the results of several neural network classifiers

Voting over Multiple Condensed Nearest Neighbors

Artificial Intelligence Review - Special issue on lazy learning

Boosting classifiers regionally

AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence

Problems in pattern classification in high domensional spaces: behavior of a class of combined neuro-fuzzy classifiers

Fuzzy Sets and Systems - Featured Issue: Selected papers from ACIDCA 2000

Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery

Pattern Recognition Letters

Confidence Combination Methods in Multi-expert Systems

Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition

Ensembles of Learning Machines

WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers

Solving Regression Problems Using Competitive Ensemble Models

AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence

Feature Based Decision Fusion

ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition

Combining Multiple Classifiers in Probabilistic Neural Networks

MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems

Information Analysis of Multiple Classifier Fusion

MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems

Improving Product by Moderating k-NN Classifiers

MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems

Application of the Evolutionary Algorithms for Classifier Selection in Multiple Classifier Systems with Majority Voting

MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems

New Measure of Classifier Dependency in Multiple Classifier Systems

MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems

Bagging improves uncertainty representation in evidential pattern classification

Technologies for constructing intelligent systems

Combination of Type III Digit Recognizers using the Dempster-Shafer Theory of Evidence

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2

Combining diverse neural nets

The Knowledge Engineering Review

Fault diagnosis of machines based on D-S evidence theory. Part 2: Application of the improved D-S evidence theory in gearbox fault diagnosis

Pattern Recognition Letters

An interoperable and scalable Web-based system for classifier sharing and fusion

Expert Systems with Applications: An International Journal

Multi-Classifier Systems: Review and a roadmap for developers

International Journal of Hybrid Intelligent Systems

Dual Antenna Receivers for High Data Rate Terminals

Wireless Personal Communications: An International Journal

An ensemble based data fusion approach for early diagnosis of Alzheimer's disease

Information Fusion

Enhancing decision combination of face and fingerprint by exploitation of individual classifier space: An approach to multi-modal biometry

Pattern Recognition

La fusion multi-capteurs dans l'habitat communicant: une approche non-probabiliste

UbiMob '08 Proceedings of the 4th French-speaking conference on Mobility and ubiquity computing

Induction of multiple fuzzy decision trees based on rough set technique

Information Sciences: an International Journal

The combination of multiple classifiers using an evidential reasoning approach

Artificial Intelligence

Investigating methods for improving bagged k-NN classifiers

AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases

Diversity-Based Classifier Selection for Adaptive Object Tracking

MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems

Ensembles as a sequence of classifiers

IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2

A new technique for combining multiple classifiers using the dempster-shafer theory of evidence

Journal of Artificial Intelligence Research

Combining the predictions of multiple classifiers: using competitive learning to initialize neural networks

IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1

Error bounds of decision templates and support vector machines in decision fusion

International Journal of Knowledge Engineering and Soft Data Paradigms

Use of neural networks and decision fusion for lithostratigraphic correlation with sparse data, Mono-Inyo Craters, California

Computers & Geosciences

Human-machine interaction issues in quality control based on online image classification

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

Learn++.NC: combining ensemble of classifiers with dynamically weighted consult-and-vote for efficient incremental learning of new classes

IEEE Transactions on Neural Networks

Discounting and Combination Scheme in Evidence Theory for Dealing with Conflict in Information Fusion

MDAI '09 Proceedings of the 6th International Conference on Modeling Decisions for Artificial Intelligence

Improving Classification Performance with Focus on the Complex Areas

SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science

Combination of multiple classifiers for post-placement quality inspection of components: A comparative study

Information Fusion

Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion

Engineering Applications of Artificial Intelligence

Multi-view forests based on Dempster-Shafer evidence theory: a new classifier ensemble method

SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications

Towards incremental classifier fusion

Intelligent Data Analysis

Classifier combination based on confidence transformation

Pattern Recognition

Adaptively entropy-based weighting classifiers in combination using Dempster-Shafer theory for word sense disambiguation

Computer Speech and Language

Learning visual quality inspection from multiple humans using ensembles of classifiers

ICVS'08 Proceedings of the 6th international conference on Computer vision systems

Combining multiple SVM classifiers for radar emitter recognition

FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1

Performance analysis of classifier fusion model with minimum feature subset and rotation of the dataset

FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1

Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction

Artificial Intelligence in Medicine

Neuro-fuzzy-combiner: an effective multiple classifier system

International Journal of Knowledge Engineering and Soft Data Paradigms

Assessment of the influence of adaptive components in trainable surface inspection systems

Machine Vision and Applications - Integrated Imaging and Vision Techniques for Industrial Inspection

Combining multi-resolution evidence for georeferencing Flickr images

SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management

Combining neural networks based on Dempster-Shafer theory for classifying data with imperfect labels

MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II

Classifier fusion in the Dempster--Shafer framework using optimized t-norm based combination rules

International Journal of Approximate Reasoning

Extended decision template presentation for combining classifiers

Expert Systems with Applications: An International Journal

A comparison of soft fusion methods under different bagging scenarios

CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics

A probabilistic model of classifier competence for dynamic ensemble selection

Pattern Recognition

A multilevel information fusion approach for visual quality inspection

Information Fusion

Combination of multiple diverse classifiers using belief functions for handling data with imperfect labels

Expert Systems with Applications: An International Journal

Combining complementary information sources in the Dempster-Shafer framework for solving classification problems with imperfect labels

Knowledge-Based Systems

Empirical study on fusion methods using ensemble of RBFNN for network intrusion detection

ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics

Using dempster-shafer theory in MCF systems to reject samples

MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems

Hierarchical neural networks utilising dempster-shafer evidence theory

ANNPR'06 Proceedings of the Second international conference on Artificial Neural Networks in Pattern Recognition

Remote sensing image classification: a neuro-fuzzy MCS approach

ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing

Georeferencing Flickr photos using language models at different levels of granularity: An evidence based approach

Web Semantics: Science, Services and Agents on the World Wide Web

Linear classifier combination and selection using group sparse regularization and hinge loss

Pattern Recognition Letters

Block-based image steganalysis: Algorithm and performance evaluation

Journal of Visual Communication and Image Representation

Autoregressive modeling of speech trajectory transformed to the reconstructed phase space for ASR purposes

Digital Signal Processing