Brijesh Verma

According to our database1, Brijesh Verma authored at least 131 papers between 1994 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
A Divide-and-Conquer-Based Ensemble Classifier Learning by Means of Many-Objective Optimization.
IEEE Trans. Evolutionary Computation, 2018

A novel approach for optimizing climate features and network parameters in rainfall forecasting.
Soft Comput., 2018

In Field Fruit Sizing Using A Smart Phone Application.
Sensors, 2018

Density Weighted Connectivity of Grass Pixels in image frames for biomass estimation.
Expert Syst. Appl., 2018

Facial Expression Analysis under Partial Occlusion: A Survey.
ACM Comput. Surv., 2018

Monthly Rainfall Forecasting Using One-Dimensional Deep Convolutional Neural Network.
IEEE Access, 2018

The Optimized Selection of Base-Classifiers for Ensemble Classification using a Multi-Objective Genetic Algorithm.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Optimizing clustering to promote data diversity when generating an ensemble classifier.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Particle Swarm Optimization Based Approach for Finding Optimal Values of Convolutional Neural Network Parameters.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Novel Approach for Optimizing Ensemble Components in Rainfall Prediction.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Roadside Video Data Analysis: Deep Learning - Deep Learning
Studies in Computational Intelligence 711, Springer, ISBN: 978-981-10-4539-4, 2017

On-Tree Mango Fruit Size Estimation Using RGB-D Images.
Sensors, 2017

Superpixel-based class-semantic texton occurrences for natural roadside vegetation segmentation.
Mach. Vis. Appl., 2017

Optimization of convolutional neural network parameters for image classification.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Removing Bias from Diverse Data Clusters for Ensemble Classification.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Learning based fusion in ensembles for weather forecasting.
Proceedings of the 13th International Conference on Natural Computation, 2017

A hybrid genetic algorithm for climate input features and neural network parameters selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Monthly Rainfall Categorization Based on Optimized Features and Neural Network.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

2016
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond.
IEEE Trans. Neural Netw. Learning Syst., 2016

Spatial contextual superpixel model for natural roadside vegetation classification.
Pattern Recognition, 2016

Nonlinear curve fitting to stopping power data using RBF neural networks.
Expert Syst. Appl., 2016

An ensemble of deep learning architectures for automatic feature extraction.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A genetic algorithm based feature selection approach for rainfall forecasting in sugarcane areas.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Automated mango flowering assessment via refinement segmentation.
Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016

Aggregating pixel-level prediction and cluster-level texton occurrence within superpixel voting for roadside vegetation classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Spatially Constrained Location Prior for scene parsing.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Rule-Based Grass Biomass Classification for Roadside Fire Risk Assessment.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Position Gradient and Plane Consistency Based Feature Extraction.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Impact of Automatic Feature Extraction in Deep Learning Architecture.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Deep Learning Based Computer Vision Technique for Automatic Heat Detection in Cows.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

2015
A novel texture feature based multiple classifier technique for roadside vegetation classification.
Expert Syst. Appl., 2015

An Improved RBF Neural Network Approach to Nonlinear Curve Fitting.
Proceedings of the Advances in Computational Intelligence, 2015

Segmentation of Geophysical Data: A Big Data Friendly Approach.
Proceedings of the INNS Conference on Big Data 2015, 2015

Pixel characteristics based feature extraction approach for roadside object detection.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Class-Semantic Color-Texture Textons for Vegetation Classification.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Roadside vegetation classification using color intensity and moments.
Proceedings of the 11th International Conference on Natural Computation, 2015

A neural network based method to determine initial object positions for segmentation.
Proceedings of the 11th International Conference on Natural Computation, 2015

Polynomial prediction of neurons in neural network classifier for breast cancer diagnosis.
Proceedings of the 11th International Conference on Natural Computation, 2015

Wavelet based fuzzy clustering technique for the extraction of road objects.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Class-Semantic Textons with Superpixel Neighborhoods for Natural Roadside Vegetation Classification.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

Genetic Programming for algae detection in river images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Image descriptor: A genetic programming approach to multiclass texture classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
A Novel Hybrid Learning Technique for Roadside Vegetation Classification.
Austr. J. Intelligent Information Processing Systems, 2014

Analysis of Hybrid Classification Approach to Differentiate Dense and Non-dense Grass Regions.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Optimizing configuration of neural ensemble network for breast cancer diagnosis.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Neural Ensemble Approach for Segmentation and Classification of Road Images.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm.
Knowl.-Based Syst., 2013

Effect of ensemble classifier composition on offline cursive character recognition.
Inf. Process. Manage., 2013

Cluster Based Ensemble Classifier Generation by Joint Optimization of accuracy and Diversity.
International Journal of Computational Intelligence and Applications, 2013

Relationship between Data Size, accuracy, Diversity and Clusters in Neural Network Ensembles.
International Journal of Computational Intelligence and Applications, 2013

Cluster-based ensemble of classifiers.
Expert Systems, 2013

Variable Hidden Neuron Ensemble for Mass Classification in Digital Mammograms [Application Notes].
IEEE Comp. Int. Mag., 2013

Clustering based neural network approach for classification of road images.
Proceedings of the 2013 International Conference on Soft Computing and Pattern Recognition, 2013

Cluster oriented ensemble classifiers using multi-objective evolutionary algorithm.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Impact of variability in data on accuracy and diversity of neural network based ensemble classifiers.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Effects of Large Constituent Size in Variable Neural Ensemble Classifier for Breast Mass Classification.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Hierarchical Segment Learning Method for Road Objects Extraction and Classification.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

Effect of Varying Hidden Neurons and Data Size on Clusters, Layers, Diversity and Accuracy in Neural Ensemble Classifier.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

2012
Cluster-Oriented Ensemble Classifier: Impact of Multicluster Characterization on Ensemble Classifier Learning.
IEEE Trans. Knowl. Data Eng., 2012

Binary segmentation algorithm for English cursive handwriting recognition.
Pattern Recognition, 2012

Selection and impact of different topologies in multi-layered hierarchical fuzzy systems.
Appl. Intell., 2012

An hierarchical approach towards road image segmentation.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Influence of unstable patterns in layered cluster oriented ensemble classifier.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Clustered ensemble neural network for breast mass classification in digital mammography.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A neural networks-based fitting to high energy stopping power data for heavy ions in solid matter.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A Multilayered Ensemble Architecture for the Classification of Masses in Digital Mammograms.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
Novel Layered Clustering-Based Approach for Generating Ensemble of Classifiers.
IEEE Trans. Neural Networks, 2011

Multi-Cluster Support Vector Machine Classifier for the Classification of Suspicious Areas in Digital Mammograms.
International Journal of Computational Intelligence and Applications, 2011

Segment confidence-based binary segmentation (SCBS) for cursive handwritten words.
Expert Syst. Appl., 2011

Hybrid ensemble approach for classification.
Appl. Intell., 2011

Ensemble classifier composition: Impact on feature based offline cursive character recognition.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

An Automated System for the Analysis of the Status of Road Safety Using Neural Networks.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

An Evolutionary Algorithm Based Optimization of Neural Ensemble Classifiers.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
Classification of benign and malignant patterns in digital mammograms for the diagnosis of breast cancer.
Expert Syst. Appl., 2010

A Novel Approach Based on Fusion of Three Neural Experts for Handwriting Recognition.
Austr. J. Intelligent Information Processing Systems, 2010

A novel ensemble classifier approach using weak classifier learning on overlapping clusters.
Proceedings of the International Joint Conference on Neural Networks, 2010

A classifier with clustered sub classes for the classification of suspicious areas in digital mammograms.
Proceedings of the International Joint Conference on Neural Networks, 2010

Over-segmentation and Neural Binary Validation for cursive handwriting recognition.
Proceedings of the International Joint Conference on Neural Networks, 2010

Non-uniform Layered Clustering for Ensemble Classifier Generation and Optimality.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

MOEA based hierarchical fuzzy control over the set of user-defined initial conditions.
Proceedings of the FUZZ-IEEE 2010, 2010

An evolutionary algorithm based approach for selection of topologies in hierarchical fuzzy systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
A novel soft cluster neural network for the classification of suspicious areas in digital mammograms.
Pattern Recognition, 2009

Intelligent methods for solving inverse problems of backscattering spectra with noise: a comparison between neural networks and simulated annealing.
Neural Computing and Applications, 2009

A Compositional Method Using an Evolutionary Algorithm for Finding Fuzzy Rules in 3-Layered Hierarchical Fuzzy Structure.
International Journal of Computational Intelligence and Applications, 2009

Selection and fusion of facial features for face recognition.
Expert Syst. Appl., 2009

Impact of multiple clusters on neural classification of ROIs in digital mammograms.
Proceedings of the International Joint Conference on Neural Networks, 2009

Binary Segmentation with Neural Validation for Cursive Handwriting Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
RBF neural networks for solving the inverse problem of backscattering spectra.
Neural Computing and Applications, 2008

Novel network architecture and learning algorithm for the classification of mass abnormalities in digitized mammograms.
Artificial Intelligence in Medicine, 2008

Hierarchical Fuzzy Control for the Inverted Pendulum over the Set of Initial Conditions.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

A novel multiple experts and fusion based segmentation algorithm for cursive handwriting recognition.
Proceedings of the International Joint Conference on Neural Networks, 2008

An Automatic Intelligent Language Classifier.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007
An investigation of the modified direction feature for cursive character recognition.
Pattern Recognition, 2007

A novel neural-genetic algorithm to find the most significant combination of features in digital mammograms.
Appl. Soft Comput., 2007

A Hybrid Data Mining Approach for Knowledge Extraction and Classification in Medical Databases.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

A Segmentatilon based Adaptive Approach for Curs'ive Handwriltten Text Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
A Novel Context-based Technique for Web Information Retrieval.
World Wide Web, 2006

Neural-association of Microcalcification Patterns for their Reliable Classification in Digital Mammography.
IJPRAI, 2006

Concept-Based Term Weighting for Web Information Retrieval.
International Journal of Computational Intelligence and Applications, 2006

Neural Classification of Mass Abnormalities with Different Types of Features in Digital Mammography.
International Journal of Computational Intelligence and Applications, 2006

A Neural Learning Algorithm for the Diagnosis of Breast Cancer.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Neural Network based Technique for Automatic Classification of Road Cracks.
Proceedings of the International Joint Conference on Neural Networks, 2006

Characterization of Breast Abnormality Patterns in Digital Mammograms Using Auto-associator Neural Network.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection.
Pattern Recognition Letters, 2005

A Novel Context Matching Based Technique for Web Document Retrieval.
Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

Artificial neural network techniques for analysis of ion backscattering spectra.
Proceedings of the 2005 International Conference on Artificial Intelligence, 2005

A Hybrid Classifier for Mass Classification with Different Kinds of Features in Mammography.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004
A novel approach for structural feature extraction: Contour vs. direction.
Pattern Recognition Letters, 2004

A Fully Automated Offline Handwriting Recognition System Incorporating Rule Based Neural Network Validated Segmentation And Hybrid Neural Network Classifier.
IJPRAI, 2004

Fuzzy logic based interpretation and fusion of color queries.
Fuzzy Sets and Systems, 2004

A fuzzy-neural approach for interpretation and fusion of colour and texture features for CBIR systems.
Appl. Soft Comput., 2004

A Fusion of Neural Network Based Auto-associator and Classifier for the Classification of Microcalcification Patterns.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003
A Hierarchical Method for Finding Optimal Architecture and Weights Using Evolutionary Least Square Based Learning.
Int. J. Neural Syst., 2003

A Neural-Evolutionary Approach for Feature and Architecture Selection in Online Handwriting Recognition.
Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

A Contour Code Feature Based Segmentation For Handwriting Recognition.
Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters.
Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

2002
An Intelligent Hybrid Approach for Content-Based Image Retrieval.
International Journal of Computational Intelligence and Applications, 2002

Segmentation Versus Non-Segmentation Based Neural Techniques for Cursive Word Recognition: An Experimental Analysis.
International Journal of Computational Intelligence and Applications, 2002

2001
A computer-aided diagnosis system for digital mammograms based on fuzzy-neural and feature extraction techniques.
IEEE Trans. Information Technology in Biomedicine, 2001

Fusion of multiple handwritten word recognition techniques.
Pattern Recognition Letters, 2001

Analysis of Segmentation Performance on the CEDAR Benchmark Database.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

Texture Feature Extraction and Classification.
Proceedings of the Computer Analysis of Images and Patterns, 9th International Conference, 2001

2000
Vertical jump height prediction using EMG characteristics and neural networks.
Cognitive Systems Research, 2000

1999
Comparative Evaluation of Two Neural Network Based Techniques for Classification of Microcalcifications in Digital Mammograms.
Knowl. Inf. Syst., 1999

A new segmentation algorithm for handwritten word recognition.
Proceedings of the International Joint Conference Neural Networks, 1999

Neural-based Solutions for the Segmentation and Recognition of Difficult Handwritten Words from a Benchmark Database.
Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999

1997
Fast training of multilayer perceptrons.
IEEE Trans. Neural Networks, 1997

Recognition of Rotating Images Using an Automatic Feature Extraction Technique and Neural Networks.
Int. J. Neural Syst., 1997

1995
A new training algorithm for feedforward neural networks.
Proceedings of the ESANN 1995, 1995

1994
Training of the Multilayer Perceptrons using Direct Solution Methods.
Proceedings of the 12st IASTED International Conference on Applied Informatics, 1994


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