Training of the Multilayer Perceptrons using Direct Solution Methods. - Brijesh K. Verma; Praveen Sharma; Jan J. Mulawka (Applied Informatics, 1994)

A new training algorithm for feedforward neural networks. - Brijesh K. Verma; Jan J. Mulawka (ESANN, 1995)

Handwritten Hindi character recognition using multilayer perceptron and radial basis function neural networks. - Brijesh K. Verma (ICNN, 1995)

Recognition of Rotating Images Using an Automatic Feature Extraction Technique and Neural Networks. - Brijesh K. Verma (Int. J. Neural Syst., 1997)

Fast training of multilayer perceptrons. - Brijesh K. Verma (IEEE Trans. Neural Networks, 1997)

Neural-based Solutions for the Segmentation and Recognition of Difficult Handwritten Words from a Benchmark Database. - Michael Blumenstein; Brijesh K. Verma (ICDAR, 1999)

A new segmentation algorithm for handwritten word recognition. - Michael Blumenstein; Brijesh K. Verma (IJCNN, 1999)

Content based image retrieval using a neuro-fuzzy technique. - S. Kulkami; Brijesh K. Verma; P. Sharma; Henry Selvaraj (IJCNN, 1999)

Comparative Evaluation of Two Neural Network Based Techniques for Classification of Microcalcifications in Digital Mammograms. - Brijesh K. Verma (Knowl. Inf. Syst., 1999)

Vertical jump height prediction using EMG characteristics and neural networks. - Brijesh K. Verma; Chris Lane (Cogn. Syst. Res., 2000)

Texture Feature Extraction and Classification. - Brijesh K. Verma; Siddhivinayak Kulkarni (CAIP, 2001)

Analysis of Segmentation Performance on the CEDAR Benchmark Database. - Michael Blumenstein; Brijesh K. Verma (ICDAR, 2001)

Fusion of multiple handwritten word recognition techniques. - Brijesh K. Verma; Paul D. Gader; Wen-Tsong Chen (Pattern Recognit. Lett., 2001)

A computer-aided diagnosis system for digital mammograms based on fuzzy-neural and feature extraction techniques. - Brijesh K. Verma; John Zakos (IEEE Trans. Inf. Technol. Biomed., 2001)

A novel evolutionary neural learning algorithm. - Brijesh K. Verma; Ranadhir Ghosh (IEEE Congress on Evolutionary Computation, 2002)

Segmentation Versus Non-Segmentation Based Neural Techniques for Cursive Word Recognition: An Experimental Analysis. - Xiaolong Fan; Brijesh K. Verma (Int. J. Comput. Intell. Appl., 2002)

An Intelligent Hybrid Approach for Content-Based Image Retrieval. - Siddhivinayak Kulkarni; Brijesh K. Verma (Int. J. Comput. Intell. Appl., 2002)

Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammography. - Ping Zhang 008; Brijesh K. Verma; Kuldeep Kumar (IEEE Congress on Evolutionary Computation, 2003)

A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters. - Michael Blumenstein; Brijesh K. Verma; H. Basli (ICDAR, 2003)

A Contour Code Feature Based Segmentation For Handwriting Recognition. - Brijesh K. Verma (ICDAR, 2003)

A Neural-Evolutionary Approach for Feature and Architecture Selection in Online Handwriting Recognition. - Brijesh K. Verma; Moumita Ghosh (ICDAR, 2003)

A novel min-max feature value based neural architecture and learning algorithm for classification of microcalcifications. - Brijesh K. Verma; Rinku Panchal; Kuldeep Kumar (IJCNN, 2003)

A Hierarchical Method for Finding Optimal Architecture and Weights Using Evolutionary Least Square Based Learning. - Ranadhir Ghosh; Brijesh K. Verma (Int. J. Neural Syst., 2003)

A Fusion of Neural Network Based Auto-associator and Classifier for the Classification of Microcalcification Patterns. - Rinku Panchal; Brijesh K. Verma (ICONIP, 2004)

A modified direction feature for cursive character recognition. - Michael Blumenstein; Xin Yu Liu; Brijesh K. Verma (IJCNN, 2004)

A feature extraction technique for online handwriting recognition. - Brijesh K. Verma; Jenny Lu; Moumita Ghosh; Ranadhir Ghosh (IJCNN, 2004)

A neural-genetic algorithm for feature selection and breast abnormality classification in digital mammography. - Ping Zhang 008; Brijesh K. Verma; Kuldeep Kumar (IJCNN, 2004)

A fuzzy-neural approach for interpretation and fusion of colour and texture features for CBIR systems. - Brijesh K. Verma; Siddhivinayak Kulkarni (Appl. Soft Comput., 2004)

Fuzzy logic based interpretation and fusion of color queries. - Brijesh K. Verma; Siddhivinayak Kulkarni (Fuzzy Sets Syst., 2004)

A Fully Automated Offline Handwriting Recognition System Incorporating Rule Based Neural Network Validated Segmentation And Hybrid Neural Network Classifier. - Moumita Ghosh; Ranadhir Ghosh; Brijesh K. Verma (Int. J. Pattern Recognit. Artif. Intell., 2004)

A novel approach for structural feature extraction: Contour vs. direction. - Brijesh K. Verma; Michael Blumenstein; Moumita Ghosh (Pattern Recognit. Lett., 2004)

A Hybrid Classifier for Mass Classification with Different Kinds of Features in Mammography. - Ping Zhang 008; Kuldeep Kumar; Brijesh K. Verma (FSKD (2), 2005)

Artificial neural network techniques for analysis of ion backscattering spectra. - Michael M. Li; Xiaolong Fan; Brijesh K. Verma; Ron Balsys; John O'Connor (IC-AI, 2005)

A Novel Context Matching Based Technique for Web Document Retrieval. - John Zakos; Brijesh K. Verma (ICDAR, 2005)

Classification of breast abnormalities in digital mammograms using image and BI-RADS features in conjunction with neural network. - Rinku Panchal; Brijesh K. Verma (IJCNN, 2005)

Optimization of parameters for effective Web information retrieval using an evolutionary algorithm. - John Zakos; Ping Zhang 008; Brijesh K. Verma (IJCNN, 2005)

Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection. - Ping Zhang 008; Brijesh K. Verma; Kuldeep Kumar (Pattern Recognit. Lett., 2005)

Characterization of Breast Abnormality Patterns in Digital Mammograms Using Auto-associator Neural Network. - Rinku Panchal; Brijesh K. Verma (ICONIP (3), 2006)

A Neural Network based Technique for Automatic Classification of Road Cracks. - Justin Bray; Brijesh K. Verma; Xue Li 001; Wade He (IJCNN, 2006)

A Neural Learning Algorithm for the Diagnosis of Breast Cancer. - Brijesh K. Verma (IJCNN, 2006)

Neural Classification of Mass Abnormalities with Different Types of Features in Digital Mammography. - Rinku Panchal; Brijesh K. Verma (Int. J. Comput. Intell. Appl., 2006)

Concept-Based Term Weighting for Web Information Retrieval. - John Zakos; Brijesh K. Verma (Int. J. Comput. Intell. Appl., 2006)

Neural-association of Microcalcification Patterns for their Reliable Classification in Digital Mammography. - Rinku Panchal; Brijesh K. Verma (Int. J. Pattern Recognit. Artif. Intell., 2006)

A Novel Context-based Technique for Web Information Retrieval. - John Zakos; Brijesh K. Verma (World Wide Web, 2006)

A Segmentatilon based Adaptive Approach for Curs'ive Handwriltten Text Recognition. - Brijesh K. Verma; Hong Lee (IJCNN, 2007)

A Hybrid Data Mining Approach for Knowledge Extraction and Classification in Medical Databases. - Syed Zahid Hassan; Brijesh K. Verma (ISDA, 2007)

A novel neural-genetic algorithm to find the most significant combination of features in digital mammograms. - Brijesh K. Verma; Ping Zhang 008 (Appl. Soft Comput., 2007)

An investigation of the modified direction feature for cursive character recognition. - Michael Blumenstein; Xin Yu Liu; Brijesh K. Verma (Pattern Recognit., 2007)

An Automatic Intelligent Language Classifier. - Brijesh K. Verma; Hong Lee; John Zakos (ICONIP (2), 2008)

A novel multiple experts and fusion based segmentation algorithm for cursive handwriting recognition. - Hong Lee; Brijesh K. Verma (IJCNN, 2008)

Hierarchical Fuzzy Control for the Inverted Pendulum over the Set of Initial Conditions. - Juliusz Zajaczkowski; Brijesh K. Verma (SEAL, 2008)

Novel network architecture and learning algorithm for the classification of mass abnormalities in digitized mammograms. - Brijesh K. Verma (Artif. Intell. Medicine, 2008)

RBF neural networks for solving the inverse problem of backscattering spectra. - Michael M. Li; Brijesh K. Verma; Xiaolong Fan; Kevin Tickle (Neural Comput. Appl., 2008)

Binary Segmentation with Neural Validation for Cursive Handwriting Recognition. - Hong Lee; Brijesh K. Verma (IJCNN, 2009)

Impact of multiple clusters on neural classification of ROIs in digital mammograms. - Brijesh K. Verma (IJCNN, 2009)

Selection and fusion of facial features for face recognition. - Xiaolong Fan; Brijesh K. Verma (Expert Syst. Appl., 2009)

A Compositional Method Using an Evolutionary Algorithm for Finding Fuzzy Rules in 3-Layered Hierarchical Fuzzy Structure. - Juliusz Zajaczkowski; Brijesh K. Verma (Int. J. Comput. Intell. Appl., 2009)

Intelligent methods for solving inverse problems of backscattering spectra with noise: a comparison between neural networks and simulated annealing. - Michael M. Li; William W. Guo; Brijesh K. Verma; Kevin Tickle; John O'Connor (Neural Comput. Appl., 2009)

A novel soft cluster neural network for the classification of suspicious areas in digital mammograms. - Brijesh K. Verma; Peter McLeod; Alan Klevansky (Pattern Recognit., 2009)

An evolutionary algorithm based approach for selection of topologies in hierarchical fuzzy systems. - Juliusz Zajaczkowski; Brijesh K. Verma (IEEE Congress on Evolutionary Computation, 2010)

MOEA based hierarchical fuzzy control over the set of user-defined initial conditions. - Juliusz Zajaczkowski; Brijesh K. Verma (FUZZ-IEEE, 2010)

Non-uniform Layered Clustering for Ensemble Classifier Generation and Optimality. - Ashfaqur Rahman; Brijesh K. Verma; Xin Yao 001 (ICONIP (1), 2010)

Over-segmentation and Neural Binary Validation for cursive handwriting recognition. - Hong Lee; Brijesh K. Verma (IJCNN, 2010)

A classifier with clustered sub classes for the classification of suspicious areas in digital mammograms. - Peter McLeod; Brijesh K. Verma (IJCNN, 2010)

A novel ensemble classifier approach using weak classifier learning on overlapping clusters. - Ashfaqur Rahman; Brijesh K. Verma (IJCNN, 2010)

A Novel Approach Based on Fusion of Three Neural Experts for Handwriting Recognition. - Hong Lee; Brijesh K. Verma; MinYeop Park (Aust. J. Intell. Inf. Process. Syst., 2010)

Classification of benign and malignant patterns in digital mammograms for the diagnosis of breast cancer. - Brijesh K. Verma; Peter McLeod; Alan Klevansky (Expert Syst. Appl., 2010)

An Evolutionary Algorithm Based Optimization of Neural Ensemble Classifiers. - Chien-Yuan Chiu; Brijesh K. Verma (ICONIP (3), 2011)

An Automated System for the Analysis of the Status of Road Safety Using Neural Networks. - Brijesh K. Verma; David R. Stockwell (ICONIP (3), 2011)

Ensemble classifier composition: Impact on feature based offline cursive character recognition. - Ashfaqur Rahman; Brijesh K. Verma (IJCNN, 2011)

Hybrid ensemble approach for classification. - Brijesh K. Verma; Syed Zahid Hassan (Appl. Intell., 2011)

Segment confidence-based binary segmentation (SCBS) for cursive handwritten words. - Brijesh K. Verma; Hong Lee (Expert Syst. Appl., 2011)

Multi-Cluster Support Vector Machine Classifier for the Classification of Suspicious Areas in Digital Mammograms. - Peter McLeod; Brijesh K. Verma (Int. J. Comput. Intell. Appl., 2011)

Novel Layered Clustering-Based Approach for Generating Ensemble of Classifiers. - Ashfaqur Rahman; Brijesh K. Verma (IEEE Trans. Neural Networks, 2011)

A Multilayered Ensemble Architecture for the Classification of Masses in Digital Mammograms. - Peter McLeod; Brijesh K. Verma (Australasian Conference on Artificial Intelligence, 2012)

A neural networks-based fitting to high energy stopping power data for heavy ions in solid matter. - Michael M. Li; William W. Guo; Brijesh K. Verma; Hong Lee (IJCNN, 2012)

Clustered ensemble neural network for breast mass classification in digital mammography. - Peter McLeod; Brijesh K. Verma (IJCNN, 2012)

Influence of unstable patterns in layered cluster oriented ensemble classifier. - Ashfaqur Rahman; Brijesh K. Verma (IJCNN, 2012)

An hierarchical approach towards road image segmentation. - Ashfaqur Rahman; Brijesh K. Verma; David R. Stockwell (IJCNN, 2012)

Selection and impact of different topologies in multi-layered hierarchical fuzzy systems. - Juliusz Zajaczkowski; Brijesh K. Verma (Appl. Intell., 2012)

Binary segmentation algorithm for English cursive handwriting recognition. - Hong Lee; Brijesh K. Verma (Pattern Recognit., 2012)

Cluster-Oriented Ensemble Classifier: Impact of Multicluster Characterization on Ensemble Classifier Learning. - Brijesh K. Verma; Ashfaqur Rahman (IEEE Trans. Knowl. Data Eng., 2012)

Effect of Varying Hidden Neurons and Data Size on Clusters, Layers, Diversity and Accuracy in Neural Ensemble Classifier. - Chien-Yuan Chiu; Brijesh K. Verma (CSE, 2013)

Hierarchical Segment Learning Method for Road Objects Extraction and Classification. - Tejy Kinattukara; Brijesh K. Verma (CSE, 2013)

Effects of Large Constituent Size in Variable Neural Ensemble Classifier for Breast Mass Classification. - Peter McLeod; Brijesh K. Verma (ICONIP (3), 2013)

Impact of variability in data on accuracy and diversity of neural network based ensemble classifiers. - Chien-Yuan Chiu; Brijesh K. Verma; Michael M. Li (IJCNN, 2013)

Cluster oriented ensemble classifiers using multi-objective evolutionary algorithm. - Ashfaqur Rahman; Brijesh K. Verma (IJCNN, 2013)

Clustering based neural network approach for classification of road images. - Tejy Kinattukara; Brijesh K. Verma (SoCPaR, 2013)

Variable Hidden Neuron Ensemble for Mass Classification in Digital Mammograms [Application Notes]. - Peter McLeod; Brijesh K. Verma (IEEE Comput. Intell. Mag., 2013)

Cluster-based ensemble of classifiers. - Ashfaqur Rahman; Brijesh K. Verma (Expert Syst. J. Knowl. Eng., 2013)

Relationship between Data Size, accuracy, Diversity and Clusters in Neural Network Ensembles. - Chien-Yuan Chiu; Brijesh K. Verma (Int. J. Comput. Intell. Appl., 2013)

Cluster Based Ensemble Classifier Generation by Joint Optimization of accuracy and Diversity. - Ashfaqur Rahman; Brijesh K. Verma (Int. J. Comput. Intell. Appl., 2013)

Effect of ensemble classifier composition on offline cursive character recognition. - Ashfaqur Rahman; Brijesh K. Verma (Inf. Process. Manag., 2013)

Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm. - Ashfaqur Rahman; Brijesh K. Verma (Knowl. Based Syst., 2013)

A Neural Ensemble Approach for Segmentation and Classification of Road Images. - Tejy Kinattukara; Brijesh K. Verma (ICONIP (3), 2014)

Optimizing configuration of neural ensemble network for breast cancer diagnosis. - Peter McLeod; Brijesh K. Verma; Mengjie Zhang 001 (IJCNN, 2014)

Analysis of Hybrid Classification Approach to Differentiate Dense and Non-dense Grass Regions. - Sujan Chowdhury; Brijesh K. Verma; David R. Stockwell (SEAL, 2014)

A Novel Hybrid Learning Technique for Roadside Vegetation Classification. - Sujan Chowdhury; Brijesh K. Verma; David R. Stockwell (Aust. J. Intell. Inf. Process. Syst., 2014)

Image descriptor: A genetic programming approach to multiclass texture classification. - Harith Al-Sahaf; Mengjie Zhang 001; Mark Johnston; Brijesh K. Verma (CEC, 2015)

Genetic Programming for algae detection in river images. - Andrew Lensen; Harith Al-Sahaf; Mengjie Zhang 001; Brijesh K. Verma (CEC, 2015)

Class-Semantic Textons with Superpixel Neighborhoods for Natural Roadside Vegetation Classification. - Ligang Zhang; Brijesh K. Verma (DICTA, 2015)

Wavelet based fuzzy clustering technique for the extraction of road objects. - Tejy Kinattukara; Brijesh K. Verma (FUZZ-IEEE, 2015)

Polynomial prediction of neurons in neural network classifier for breast cancer diagnosis. - Peter McLeod; Brijesh K. Verma (ICNC, 2015)

A neural network based method to determine initial object positions for segmentation. - Paul Moore; Brijesh K. Verma; Michael M. Li (ICNC, 2015)

Roadside vegetation classification using color intensity and moments. - Ligang Zhang; Brijesh K. Verma; David R. B. Stockwell (ICNC, 2015)

Class-Semantic Color-Texture Textons for Vegetation Classification. - Ligang Zhang; Brijesh K. Verma; David R. Stockwell (ICONIP (1), 2015)

Pixel characteristics based feature extraction approach for roadside object detection. - Sujan Chowdhury; Brijesh K. Verma; Mary Tom; Mengjie Zhang 001 (IJCNN, 2015)

Segmentation of Geophysical Data: A Big Data Friendly Approach. - David R. B. Stockwell; Ligang Zhang; Brijesh K. Verma (INNS Conference on Big Data, 2015)

An Improved RBF Neural Network Approach to Nonlinear Curve Fitting. - Michael M. Li; Brijesh K. Verma (IWANN (2), 2015)

A novel texture feature based multiple classifier technique for roadside vegetation classification. - Sujan Chowdhury; Brijesh K. Verma; David R. Stockwell (Expert Syst. Appl., 2015)

Deep Learning Based Computer Vision Technique for Automatic Heat Detection in Cows. - Sujan Chowdhury; Brijesh K. Verma; Jessica Roberts; Nicholas Corbet; Dave Swain (DICTA, 2016)

Impact of Automatic Feature Extraction in Deep Learning Architecture. - Fatma Shaheen; Brijesh K. Verma; Md. Asafuddoula (DICTA, 2016)

Position Gradient and Plane Consistency Based Feature Extraction. - Sujan Chowdhury; Brijesh K. Verma; Ligang Zhang (ICONIP (2), 2016)

Rule-Based Grass Biomass Classification for Roadside Fire Risk Assessment. - Ligang Zhang; Brijesh K. Verma (ICONIP (4), 2016)

Spatially Constrained Location Prior for scene parsing. - Ligang Zhang; Brijesh K. Verma; David R. B. Stockwell; Sujan Chowdhury (IJCNN, 2016)

Aggregating pixel-level prediction and cluster-level texton occurrence within superpixel voting for roadside vegetation classification. - Ligang Zhang; Brijesh K. Verma; David R. B. Stockwell; Sujan Chowdhury (IJCNN, 2016)

Automated mango flowering assessment via refinement segmentation. - Zhenglin Wang; Brijesh K. Verma; Kerry B. Walsh; Phul Subedi; Anand Koirala (IVCNZ, 2016)

A genetic algorithm based feature selection approach for rainfall forecasting in sugarcane areas. - Ali Haidar 002; Brijesh K. Verma (SSCI, 2016)

An ensemble of deep learning architectures for automatic feature extraction. - Fatma Shaheen; Brijesh K. Verma (SSCI, 2016)

Nonlinear curve fitting to stopping power data using RBF neural networks. - Michael M. Li; Brijesh K. Verma (Expert Syst. Appl., 2016)

Spatial contextual superpixel model for natural roadside vegetation classification. - Ligang Zhang; Brijesh K. Verma; David R. B. Stockwell (Pattern Recognit., 2016)

Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. - Haibo He; Nitesh V. Chawla; Huanhuan Chen; Yoonsuck Choe; Andries P. Engelbrecht; Jaya deva; Lyle N. Long; Ali A. Minai; Feiping Nie 001; Umut Ozertem; Barak A. Pearlmutter; Ling Shao 001; et al. (IEEE Trans. Neural Networks Learn. Syst., 2016)

Monthly Rainfall Categorization Based on Optimized Features and Neural Network. - Ali Haidar 002; Brijesh K. Verma (Australasian Conference on Artificial Intelligence, 2017)

A hybrid genetic algorithm for climate input features and neural network parameters selection. - Ali Haidar 002; Brijesh K. Verma (GECCO (Companion), 2017)

Learning based fusion in ensembles for weather forecasting. - Ali Haidar 002; Brijesh K. Verma (ICNC-FSKD, 2017)

Removing Bias from Diverse Data Clusters for Ensemble Classification. - Sam Fletcher; Brijesh K. Verma (ICONIP (4), 2017)

An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison. - Md. Asafuddoula; Brijesh K. Verma; Mengjie Zhang 001 (IJCNN, 2017)

Optimization of convolutional neural network parameters for image classification. - Toshi Sinha; Brijesh K. Verma; Ali Haidar 002 (SSCI, 2017)

Superpixel-based class-semantic texton occurrences for natural roadside vegetation segmentation. - Ligang Zhang; Brijesh K. Verma (Mach. Vis. Appl., 2017)

On-Tree Mango Fruit Size Estimation Using RGB-D Images. - Zhenglin Wang; Kerry B. Walsh; Brijesh K. Verma (Sensors, 2017)

Roadside Video Data Analysis: Deep Learning - Deep Learning - Brijesh K. Verma; Ligang Zhang; David R. B. Stockwell (Springer, 2017)

A Novel Approach for Optimizing Ensemble Components in Rainfall Prediction. - Ali Haidar 002; Brijesh K. Verma; Toshi Sinha (CEC, 2018)

Particle Swarm Optimization Based Approach for Finding Optimal Values of Convolutional Neural Network Parameters. - Toshi Sinha; Ali Haidar 002; Brijesh K. Verma (CEC, 2018)

Optimizing clustering to promote data diversity when generating an ensemble classifier. - Zohaib M. Jan; Brijesh K. Verma; Sam Fletcher (GECCO (Companion), 2018)

The Optimized Selection of Base-Classifiers for Ensemble Classification using a Multi-Objective Genetic Algorithm. - Sam Fletcher; Brijesh K. Verma; Zohaib M. Jan; Mengjie Zhang 001 (IJCNN, 2018)

A Convolutional Neural Network Based Deep Learning Technique for Identifying Road Attributes. - Zohaib M. Jan; Brijesh K. Verma; Joseph Affum; Sam Atabak; Lachlan Moir (IVCNZ, 2018)

Monthly Rainfall Forecasting Using One-Dimensional Deep Convolutional Neural Network. - Ali Haidar 002; Brijesh K. Verma (IEEE Access, 2018)

Facial Expression Analysis under Partial Occlusion: A Survey. - Ligang Zhang; Brijesh K. Verma; Dian Tjondronegoro; Vinod Chandran (ACM Comput. Surv., 2018)

Density Weighted Connectivity of Grass Pixels in image frames for biomass estimation. - Ligang Zhang; Brijesh K. Verma; David R. B. Stockwell; Sujan Chowdhury (Expert Syst. Appl., 2018)

In Field Fruit Sizing Using A Smart Phone Application. - Zhenglin Wang; Anand Koirala; Kerry B. Walsh; Nicholas Anderson; Brijesh K. Verma (Sensors, 2018)

A novel approach for optimizing climate features and network parameters in rainfall forecasting. - Ali Haidar 002; Brijesh K. Verma (Soft Comput., 2018)

A Divide-and-Conquer-Based Ensemble Classifier Learning by Means of Many-Objective Optimization. - Md. Asafuddoula; Brijesh K. Verma; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2018)

Evolving One-Dimensional Deep Convolutional Neural Network: A Swarm based Approach. - Ali Haidar 002; Zohaib Md. Jan; Brijesh K. Verma (CEC, 2019)

Ensemble Classifier Optimization by Reducing Input Features and Base Classifiers. - Zohaib Md. Jan; Brijesh K. Verma (CEC, 2019)

Ensemble Classifier Generation Using Class-Pure Cluster Balancing. - Zohaib M. Jan; Brijesh K. Verma (ICONIP (5), 2019)

Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes. - Mingyang Zhong; Brijesh K. Verma; Joseph Affum (ICONIP (2), 2019)

Learning and Analysis of AusRAP Attributes from Digital Video Recording for Road Safety. - Thihagoda Gamage Pubudu Sanjeewani; Brijesh K. Verma (IVCNZ, 2019)

Balanced Image Data Based Ensemble of Convolutional Neural Networks. - Zohaib Md. Jan; Brijesh K. Verma (SSCI, 2019)

A Novel Neural Network Based Method for Analysis of Pavement Deflection Data. - Jeffrey Lee; Zohaib Md. Jan; Brijesh K. Verma (SSCI, 2019)

Point Cloud Classification for Detecting Roadside Safety Attributes and Distances. - Mingyang Zhong; Brijesh K. Verma; Joseph Affirm (SSCI, 2019)

A Novel Diversity Measure and Classifier Selection Approach for Generating Ensemble Classifiers. - Zohaib M. Jan; Brijesh K. Verma (IEEE Access, 2019)

A Swarm based Optimization of the XGBoost Parameters. - Ali Haidar 002; Brijesh K. Verma; Rim Haidar (Aust. J. Intell. Inf. Process. Syst., 2019)

Roadside vegetation segmentation with Adaptive Texton Clustering Model. - Ligang Zhang; Brijesh K. Verma (Eng. Appl. Artif. Intell., 2019)

Pruning High-Similarity Clusters to Optimize Data Diversity when Building Ensemble Classifiers. - Sam Fletcher; Brijesh K. Verma (Int. J. Comput. Intell. Appl., 2019)

A deep neural network and rule-based technique for fire risk identification in video frames. - Ligang Zhang; Brijesh K. Verma (Pattern Anal. Appl., 2019)

Convolutional Neural Network Architecture with Exact Solution. - Toshi Sinha; Brijesh K. Verma (ICONIP (5), 2020)

Optimal Clusters Generation for Maximizing Ensemble Classifier Performance. - Zohaib M. Jan; Brijesh K. Verma (IJCNN, 2020)

A Non-iterative Radial Basis Function Based Quick Convolutional Neural Network. - Toshi Sinha; Brijesh K. Verma (IJCNN, 2020)

Multi-Receptive Atrous Convolutional Network for Semantic Segmentation. - Mingyang Zhong; Brijesh K. Verma; Joseph Affum (IJCNN, 2020)

Class Probability-based Visual and Contextual Feature Integration for Image Parsing. - Basim Azam; Ranju Mandal; Ligang Zhang; Brijesh K. Verma (IVCNZ, 2020)

An optimisation Technique for the Detection of Safety Attributes Using Roadside Video Data. - Pubudu Sanjeewani; Brijesh K. Verma (IVCNZ, 2020)

A Novel Method Based on Convolutional Features with Non-Iterative Learning for Brain Tumor Classification. - Toshi Sinha; Brijesh K. Verma (SSCI, 2020)

A non-specialized ensemble classifier using multi-objective optimization. - Sam Fletcher; Brijesh K. Verma; Mengjie Zhang 001 (Neurocomputing, 2020)

Multiple strong and balanced cluster-based ensemble of deep learners. - Zohaib M. Jan; Brijesh K. Verma (Pattern Recognit., 2020)

Multiple Elimination of Base Classifiers in Ensemble Learning Using Accuracy and Diversity Comparisons. - Zohaib Md. Jan; Brijesh K. Verma (ACM Trans. Intell. Syst. Technol., 2020)

Evolutionary Classifier and Cluster Selection Approach for Ensemble Classification. - Zohaib Md. Jan; Brijesh K. Verma (ACM Trans. Knowl. Discov. Data, 2020)

Deep Learning Model with GA-based Visual Feature Selection and Context Integration. - Ranju Mandal; Basim Azam; Brijesh K. Verma; Mengjie Zhang 001 (CEC, 2021)

A Novel Evolving Classifier with a False Alarm Class for Speed Limit Sign Recognition. - Pubudu Sanjeewani; Brijesh K. Verma; Joseph Affum (CEC, 2021)

Fully Convolutional Neural Network with Relation Aware Context Information for Image Parsing. - Basim Azam; Ranju Mandal; Brijesh K. Verma (DICTA, 2021)

Context-Based Deep Learning Architecture with Optimal Integration Layer for Image Parsing. - Ranju Mandal; Basim Azam; Brijesh K. Verma (ICONIP (2), 2021)

Relationship Aware Context Adaptive Feature Selection Framework for Image Parsing. - Basim Azam; Ranju Mandal; Brijesh K. Verma (IJCNN, 2021)

Auto-Associative Features with Non-Iterative Learning Based Technique for Image Classification. - Toshi Sinha; Brijesh K. Verma (IJCNN, 2021)

Multi-stage Deep Learning Technique for Improving Traffic Sign Recognition. - Pubudu Sanjeewani; Brijesh K. Verma; Joseph Affum (IVCNZ, 2021)

Multi-stage Deep Learning Technique with a Cascaded Classifier for Turn Lanes Recognition. - Pubudu Sanjeewani; Brijesh K. Verma; Joseph Affum (SSCI, 2021)

Optimization of Fully Convolutional Network for Road Safety Attribute Detection. - Pubudu Sanjeewani; Brijesh K. Verma (IEEE Access, 2021)

Autonomous deep feature extraction based method for epileptic EEG brain seizure classification. - Mitchell D. Woodbright; Brijesh K. Verma; Ali Haidar 002 (Neurocomputing, 2021)

Single class detection-based deep learning approach for identification of road safety attributes. - Pubudu Sanjeewani; Brijesh K. Verma (Neural Comput. Appl., 2021)

Multicluster Class-Balanced Ensemble. - Zohaib M. Jan; Brijesh K. Verma (IEEE Trans. Neural Networks Learn. Syst., 2021)

A Novel Optimized Context-Based Deep Architecture for Scene Parsing. - Ranju Mandal; Brijesh K. Verma; Basim Azam; Henry Selvaraj (ICONIP (6), 2022)

A Novel Explainable Deep Learning Model with Class Specific Features. - Deepthi Praveenlal Kuttichira; Basim Azam; Brijesh K. Verma; Ashfaqur Rahman; Lipo Wang (IVCNZ, 2022)

Genetic Algorithms for Optimising Context-based Neural Networks for Image Segmentation. - Ranju Mandal; Basim Azam; Brijesh K. Verma; Mengjie Zhang 001 (SSCI, 2022)

Convolutional Ensemble Network for Image Classification. - Toshi Sinha; Brijesh K. Verma (SSCI, 2022)

Road Severity Distance Calculation Technique Using Deep Learning Predictions in 3-D Space. - Asanka G. Perera; Brijesh K. Verma (IEEE Access, 2022)

Fast Convolutional Neural Network with iterative and non-iterative learning. - Toshi Sinha; Brijesh K. Verma (Appl. Soft Comput., 2022)

Deep Learning Model with GA based Feature Selection and Context Integration. - Ranju Mandal; Basim Azam; Brijesh K. Verma; Mengjie Zhang 001 (CoRR, 2022)

Relationship aware context adaptive deep learning for image parsing. - Basim Azam; Ranju Mandal; Brijesh K. Verma (Inf. Sci., 2022)

A Novel Graph-based Framework for Explainable Image Classification: Features That Matter. - Basim Azam; Brijesh K. Verma; Deepthi Praveenlal Kuttichira; Abdul Sattar 001 (DICTA, 2023)

A Graph-based Context Learning Technique for Image Parsing. - Basim Azam; Brijesh K. Verma (IJCNN, 2023)

Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations. - Deepthi Praveenlal Kuttichira; Brijesh K. Verma; Ashfaqur Rahman; Lipo Wang (IJCNN, 2023)

Neural Network Feature Explanation Using Neuron Activation Rate Based Bipartite Graph. - Deepthi Praveenlal Kuttichira; Basim Azam; Brijesh K. Verma; Ashfaqur Rahman; Lipo Wang; Abdul Sattar 001 (IVCNZ, 2023)

Context-Adaptive Deep Learning for Efficient Image Parsing in Remote Sensing: An Automated Parameter Selection Approach. - Basim Azam; Brijesh K. Verma; Mengjie Zhang 001 (SSCI, 2023)

Parameter Optimisation for Context-Adaptive Deep Layered Network for Semantic Segmentation. - Ranju Mandal; Brijesh K. Verma (SSCI, 2023)

Optimizing CNNs with Gram Schmidt Non-iterative Learning for Image Recognition. - Deepthi Praveenlal Kuttichira; Basim Azam; Brijesh K. Verma; Ashfaqur Rahman; Lipo Wang (ICONIP (3), 2024)

Neuron Efficiency Index: An Empirical Method for Optimizing Parameters in Deep Learning. - Basim Azam; Deepthi Praveenlal Kuttichira; Brijesh K. Verma (IJCNN, 2024)

Explainable Image Recognition With Graph-Based Feature Extraction. - Basim Azam; Deepthi Praveenlal Kuttichira; Brijesh K. Verma; Ashfaqur Rahman; Lipo Wang (IEEE Access, 2024)

A Novel Non-iterative Training Method for CNN Classifiers Using Gram-Schmidt Process. - Basim Azam; Deepthi Praveenlal Kuttichira; Pubudu Sanjeewani; Brijesh K. Verma; Ashfaqur Rahman; Lipo Wang (Neural Process. Lett., 2025)