Brijesh K. Verma
Orcid: 0000-0002-4618-0479Affiliations:
- Central Queensland University, Brisbane, Australia
According to our database1,
Brijesh K. Verma
authored at least 186 papers
between 1994 and 2023.
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Bibliography
2023
Parameter Optimisation for Context-Adaptive Deep Layered Network for Semantic Segmentation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Context-Adaptive Deep Learning for Efficient Image Parsing in Remote Sensing: An Automated Parameter Selection Approach.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Neural Network Feature Explanation Using Neuron Activation Rate Based Bipartite Graph.
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023
Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
A Novel Graph-based Framework for Explainable Image Classification: Features That Matter.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
2022
CoRR, 2022
Appl. Soft Comput., 2022
Road Severity Distance Calculation Technique Using Deep Learning Predictions in 3-D Space.
IEEE Access, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Genetic Algorithms for Optimising Context-based Neural Networks for Image Segmentation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the Image and Vision Computing - 37th International Conference, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
2021
Single class detection-based deep learning approach for identification of road safety attributes.
Neural Comput. Appl., 2021
Autonomous deep feature extraction based method for epileptic EEG brain seizure classification.
Neurocomputing, 2021
IEEE Access, 2021
Multi-stage Deep Learning Technique with a Cascaded Classifier for Turn Lanes Recognition.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the 36th International Conference on Image and Vision Computing New Zealand, 2021
Auto-Associative Features with Non-Iterative Learning Based Technique for Image Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Context-Based Deep Learning Architecture with Optimal Integration Layer for Image Parsing.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Fully Convolutional Neural Network with Relation Aware Context Information for Image Parsing.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021
A Novel Evolving Classifier with a False Alarm Class for Speed Limit Sign Recognition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
ACM Trans. Knowl. Discov. Data, 2020
Multiple Elimination of Base Classifiers in Ensemble Learning Using Accuracy and Diversity Comparisons.
ACM Trans. Intell. Syst. Technol., 2020
Pattern Recognit., 2020
Neurocomputing, 2020
A Novel Method Based on Convolutional Features with Non-Iterative Learning for Brain Tumor Classification.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
An optimisation Technique for the Detection of Safety Attributes Using Roadside Video Data.
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
A deep neural network and rule-based technique for fire risk identification in video frames.
Pattern Anal. Appl., 2019
Pruning High-Similarity Clusters to Optimize Data Diversity when Building Ensemble Classifiers.
Int. J. Comput. Intell. Appl., 2019
Eng. Appl. Artif. Intell., 2019
Aust. J. Intell. Inf. Process. Syst., 2019
A Novel Diversity Measure and Classifier Selection Approach for Generating Ensemble Classifiers.
IEEE Access, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Learning and Analysis of AusRAP Attributes from Digital Video Recording for Road Safety.
Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019
Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
A Divide-and-Conquer-Based Ensemble Classifier Learning by Means of Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2018
A novel approach for optimizing climate features and network parameters in rainfall forecasting.
Soft Comput., 2018
Density Weighted Connectivity of Grass Pixels in image frames for biomass estimation.
Expert Syst. Appl., 2018
ACM Comput. Surv., 2018
Monthly Rainfall Forecasting Using One-Dimensional Deep Convolutional Neural Network.
IEEE Access, 2018
A Convolutional Neural Network Based Deep Learning Technique for Identifying Road Attributes.
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 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
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Studies in Computational Intelligence 711, Springer, ISBN: 978-981-10-4539-4, 2017
Superpixel-based class-semantic texton occurrences for natural roadside vegetation segmentation.
Mach. Vis. Appl., 2017
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
Proceedings of the Neural Information Processing - 24th International Conference, 2017
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
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
Pattern Recognit., 2016
Expert Syst. Appl., 2016
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
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
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016
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
Proceedings of the Advances in Computational Intelligence, 2015
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
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
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
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
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
Aust. J. Intell. Inf. Process. Syst., 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
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
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
Inf. Process. Manag., 2013
Cluster Based Ensemble Classifier Generation by Joint Optimization of accuracy and Diversity.
Int. J. Comput. Intell. Appl., 2013
Relationship between Data Size, accuracy, Diversity and Clusters in Neural Network Ensembles.
Int. J. Comput. Intell. Appl., 2013
Variable Hidden Neuron Ensemble for Mass Classification in Digital Mammograms [Application Notes].
IEEE Comput. Intell. Mag., 2013
Proceedings of the 2013 International Conference on Soft Computing and Pattern Recognition, 2013
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
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
Pattern Recognit., 2012
Selection and impact of different topologies in multi-layered hierarchical fuzzy systems.
Appl. Intell., 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
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
IEEE Trans. Neural Networks, 2011
Multi-Cluster Support Vector Machine Classifier for the Classification of Suspicious Areas in Digital Mammograms.
Int. J. Comput. Intell. Appl., 2011
Expert Syst. Appl., 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
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.
Aust. J. Intell. Inf. Process. Syst., 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
Proceedings of the International Joint Conference on Neural Networks, 2010
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 Recognit., 2009
Intelligent methods for solving inverse problems of backscattering spectra with noise: a comparison between neural networks and simulated annealing.
Neural Comput. Appl., 2009
A Compositional Method Using an Evolutionary Algorithm for Finding Fuzzy Rules in 3-Layered Hierarchical Fuzzy Structure.
Int. J. Comput. Intell. Appl., 2009
Expert Syst. Appl., 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
2008
Neural Comput. Appl., 2008
Novel network architecture and learning algorithm for the classification of mass abnormalities in digitized mammograms.
Artif. Intell. 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
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 Recognit., 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
Proceedings of the International Joint Conference on Neural Networks, 2007
2006
Neural-association of Microcalcification Patterns for their Reliable Classification in Digital Mammography.
Int. J. Pattern Recognit. Artif. Intell., 2006
Int. J. Comput. Intell. Appl., 2006
Neural Classification of Mass Abnormalities with Different Types of Features in Digital Mammography.
Int. J. Comput. Intell. Appl., 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
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 Recognit. Lett., 2005
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
Pattern Recognit. Lett., 2004
A Fully Automated Offline Handwriting Recognition System Incorporating Rule Based Neural Network Validated Segmentation And Hybrid Neural Network Classifier.
Int. J. Pattern Recognit. Artif. Intell., 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
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
Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammography.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
2002
Int. J. Comput. Intell. Appl., 2002
Segmentation Versus Non-Segmentation Based Neural Techniques for Cursive Word Recognition: An Experimental Analysis.
Int. J. Comput. Intell. Appl., 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
2001
A computer-aided diagnosis system for digital mammograms based on fuzzy-neural and feature extraction techniques.
IEEE Trans. Inf. Technol. Biomed., 2001
Pattern Recognit. Lett., 2001
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001
Proceedings of the Computer Analysis of Images and Patterns, 9th International Conference, 2001
2000
Cogn. Syst. Res., 2000
1999
Comparative Evaluation of Two Neural Network Based Techniques for Classification of Microcalcifications in Digital Mammograms.
Knowl. Inf. Syst., 1999
Proceedings of the International Joint Conference Neural Networks, 1999
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
Recognition of Rotating Images Using an Automatic Feature Extraction Technique and Neural Networks.
Int. J. Neural Syst., 1997
1995
Handwritten Hindi character recognition using multilayer perceptron and radial basis function neural networks.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995
1994
Training of the Multilayer Perceptrons using Direct Solution Methods.
Proceedings of the 12st IASTED International Conference on Applied Informatics, 1994