Brijesh K. Verma

203 papers A 6B 53C 2Misc 17Journal 80Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A novel neuron efficiency metric for enhancing deep neural network pruning. Neural Comput. Appl. Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
2026	J	`jnl`	Unified graph-based framework for visual explainability in convolutional neural networks. Inf. Sci. Basim Azam, Pubudu Sanjeewani, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
2025	J	`jnl`	A Novel Non-iterative Training Method for CNN Classifiers Using Gram-Schmidt Process. Neural Process. Lett. Basim Azam, Deepthi Praveenlal Kuttichira, Pubudu Sanjeewani, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
2024	J	`jnl`	Explainable Image Recognition With Graph-Based Feature Extraction. IEEE Access Basim Azam, Deepthi Praveenlal Kuttichira, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
2024	B	`conf`	Neuron Efficiency Index: An Empirical Method for Optimizing Parameters in Deep Learning. IJCNN Basim Azam, Deepthi Praveenlal Kuttichira, Brijesh K. Verma
2024	—	`conf`	Optimizing CNNs with Gram Schmidt Non-iterative Learning for Image Recognition. ICONIP (3) Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
2023	B	`conf`	A Graph-based Context Learning Technique for Image Parsing. IJCNN Basim Azam, Brijesh K. Verma
2023	Misc	`conf`	A Novel Graph-based Framework for Explainable Image Classification: Features That Matter. DICTA Basim Azam, Brijesh K. Verma, Deepthi Praveenlal Kuttichira, Abdul Sattar
2023	—	`conf`	Context-Adaptive Deep Learning for Efficient Image Parsing in Remote Sensing: An Automated Parameter Selection Approach. SSCI Basim Azam, Brijesh K. Verma, Mengjie Zhang
2023	Misc	`conf`	Neural Network Feature Explanation Using Neuron Activation Rate Based Bipartite Graph. IVCNZ Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang, Abdul Sattar
2023	B	`conf`	Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations. IJCNN Deepthi Praveenlal Kuttichira, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
2023	—	`conf`	Parameter Optimisation for Context-Adaptive Deep Layered Network for Semantic Segmentation. SSCI Ranju Mandal, Brijesh K. Verma
2022	Misc	`conf`	A Novel Explainable Deep Learning Model with Class Specific Features. IVCNZ Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
2022	—	`conf`	A Novel Optimized Context-Based Deep Architecture for Scene Parsing. ICONIP (6) Ranju Mandal, Brijesh K. Verma, Basim Azam, Henry Selvaraj
2022	J	`jnl`	Context-based Deep Learning Architecture with Optimal Integration Layer for Image Parsing. CoRR Ranju Mandal, Basim Azam, Brijesh K. Verma
2022	—	`conf`	Convolutional Ensemble Network for Image Classification. SSCI Toshi Sinha, Brijesh K. Verma
2022	J	`jnl`	Deep Learning Model with GA based Feature Selection and Context Integration. CoRR Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang
2022	J	`jnl`	Fast Convolutional Neural Network with iterative and non-iterative learning. Appl. Soft Comput. Toshi Sinha, Brijesh K. Verma
2022	—	`conf`	Genetic Algorithms for Optimising Context-based Neural Networks for Image Segmentation. SSCI Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang
2022	J	`jnl`	Relationship aware context adaptive deep learning for image parsing. Inf. Sci. Basim Azam, Ranju Mandal, Brijesh K. Verma
2022	J	`jnl`	Road Severity Distance Calculation Technique Using Deep Learning Predictions in 3-D Space. IEEE Access Asanka G. Perera, Brijesh K. Verma
2021	B	`conf`	A Novel Evolving Classifier with a False Alarm Class for Speed Limit Sign Recognition. CEC Pubudu Sanjeewani, Brijesh K. Verma, Joseph Affum
2021	B	`conf`	Auto-Associative Features with Non-Iterative Learning Based Technique for Image Classification. IJCNN Toshi Sinha, Brijesh K. Verma
2021	J	`jnl`	Autonomous deep feature extraction based method for epileptic EEG brain seizure classification. Neurocomputing Mitchell D. Woodbright, Brijesh K. Verma, Ali Haidar
2021	—	`conf`	Context-Based Deep Learning Architecture with Optimal Integration Layer for Image Parsing. ICONIP (2) Ranju Mandal, Basim Azam, Brijesh K. Verma
2021	B	`conf`	Deep Learning Model with GA-based Visual Feature Selection and Context Integration. CEC Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang
2021	Misc	`conf`	Fully Convolutional Neural Network with Relation Aware Context Information for Image Parsing. DICTA Basim Azam, Ranju Mandal, Brijesh K. Verma
2021	Misc	`conf`	Multi-stage Deep Learning Technique for Improving Traffic Sign Recognition. IVCNZ Pubudu Sanjeewani, Brijesh K. Verma, Joseph Affum
2021	—	`conf`	Multi-stage Deep Learning Technique with a Cascaded Classifier for Turn Lanes Recognition. SSCI Pubudu Sanjeewani, Brijesh K. Verma, Joseph Affum
2021	J	`jnl`	Multicluster Class-Balanced Ensemble. IEEE Trans. Neural Networks Learn. Syst. Zohaib M. Jan, Brijesh K. Verma
2021	J	`jnl`	Optimization of Fully Convolutional Network for Road Safety Attribute Detection. IEEE Access Pubudu Sanjeewani, Brijesh K. Verma
2021	B	`conf`	Relationship Aware Context Adaptive Feature Selection Framework for Image Parsing. IJCNN Basim Azam, Ranju Mandal, Brijesh K. Verma
2021	J	`jnl`	Single class detection-based deep learning approach for identification of road safety attributes. Neural Comput. Appl. Pubudu Sanjeewani, Brijesh K. Verma
2020	B	`conf`	A Non-iterative Radial Basis Function Based Quick Convolutional Neural Network. IJCNN Toshi Sinha, Brijesh K. Verma
2020	—	`conf`	A Novel Method Based on Convolutional Features with Non-Iterative Learning for Brain Tumor Classification. SSCI Toshi Sinha, Brijesh K. Verma
2020	J	`jnl`	A non-specialized ensemble classifier using multi-objective optimization. Neurocomputing Sam Fletcher, Brijesh K. Verma, Mengjie Zhang
2020	Misc	`conf`	An optimisation Technique for the Detection of Safety Attributes Using Roadside Video Data. IVCNZ Pubudu Sanjeewani, Brijesh K. Verma
2020	Misc	`conf`	Class Probability-based Visual and Contextual Feature Integration for Image Parsing. IVCNZ Basim Azam, Ranju Mandal, Ligang Zhang, Brijesh K. Verma
2020	—	`conf`	Convolutional Neural Network Architecture with Exact Solution. ICONIP (5) Toshi Sinha, Brijesh K. Verma
2020	J	`jnl`	Evolutionary Classifier and Cluster Selection Approach for Ensemble Classification. ACM Trans. Knowl. Discov. Data Zohaib Md. Jan, Brijesh K. Verma
2020	B	`conf`	Multi-Receptive Atrous Convolutional Network for Semantic Segmentation. IJCNN Mingyang Zhong, Brijesh K. Verma, Joseph Affum
2020	J	`jnl`	Multiple Elimination of Base Classifiers in Ensemble Learning Using Accuracy and Diversity Comparisons. ACM Trans. Intell. Syst. Technol. Zohaib Md. Jan, Brijesh K. Verma
2020	J	`jnl`	Multiple strong and balanced cluster-based ensemble of deep learners. Pattern Recognit. Zohaib M. Jan, Brijesh K. Verma
2020	B	`conf`	Optimal Clusters Generation for Maximizing Ensemble Classifier Performance. IJCNN Zohaib M. Jan, Brijesh K. Verma
2019	J	`jnl`	A Novel Diversity Measure and Classifier Selection Approach for Generating Ensemble Classifiers. IEEE Access Zohaib M. Jan, Brijesh K. Verma
2019	—	`conf`	A Novel Neural Network Based Method for Analysis of Pavement Deflection Data. SSCI Jeffrey Lee, Zohaib Md. Jan, Brijesh K. Verma
2019	J	`jnl`	A Swarm based Optimization of the XGBoost Parameters. Aust. J. Intell. Inf. Process. Syst. Ali Haidar, Brijesh K. Verma, Rim Haidar
2019	J	`jnl`	A deep neural network and rule-based technique for fire risk identification in video frames. Pattern Anal. Appl. Ligang Zhang, Brijesh K. Verma
2019	—	`conf`	Balanced Image Data Based Ensemble of Convolutional Neural Networks. SSCI Zohaib Md. Jan, Brijesh K. Verma
2019	—	`conf`	Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes. ICONIP (2) Mingyang Zhong, Brijesh K. Verma, Joseph Affum
2019	—	`conf`	Ensemble Classifier Generation Using Class-Pure Cluster Balancing. ICONIP (5) Zohaib M. Jan, Brijesh K. Verma
2019	B	`conf`	Ensemble Classifier Optimization by Reducing Input Features and Base Classifiers. CEC Zohaib Md. Jan, Brijesh K. Verma
2019	B	`conf`	Evolving One-Dimensional Deep Convolutional Neural Network: A Swarm based Approach. CEC Ali Haidar, Zohaib Md. Jan, Brijesh K. Verma
2019	Misc	`conf`	Learning and Analysis of AusRAP Attributes from Digital Video Recording for Road Safety. IVCNZ Thihagoda Gamage Pubudu Sanjeewani, Brijesh K. Verma
2019	—	`conf`	Point Cloud Classification for Detecting Roadside Safety Attributes and Distances. SSCI Mingyang Zhong, Brijesh K. Verma, Joseph Affirm
2019	J	`jnl`	Pruning High-Similarity Clusters to Optimize Data Diversity when Building Ensemble Classifiers. Int. J. Comput. Intell. Appl. Sam Fletcher, Brijesh K. Verma
2019	J	`jnl`	Roadside vegetation segmentation with Adaptive Texton Clustering Model. Eng. Appl. Artif. Intell. Ligang Zhang, Brijesh K. Verma
2018	Misc	`conf`	A Convolutional Neural Network Based Deep Learning Technique for Identifying Road Attributes. IVCNZ Zohaib M. Jan, Brijesh K. Verma, Joseph Affum, Sam Atabak, Lachlan Moir
2018	J	`jnl`	A Divide-and-Conquer-Based Ensemble Classifier Learning by Means of Many-Objective Optimization. IEEE Trans. Evol. Comput. Md. Asafuddoula, Brijesh K. Verma, Mengjie Zhang
2018	B	`conf`	A Novel Approach for Optimizing Ensemble Components in Rainfall Prediction. CEC Ali Haidar, Brijesh K. Verma, Toshi Sinha
2018	J	`jnl`	A novel approach for optimizing climate features and network parameters in rainfall forecasting. Soft Comput. Ali Haidar, Brijesh K. Verma
2018	J	`jnl`	Density Weighted Connectivity of Grass Pixels in Image Frames for Biomass Estimation. CoRR Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury
2018	J	`jnl`	Density Weighted Connectivity of Grass Pixels in image frames for biomass estimation. Expert Syst. Appl. Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury
2018	J	`jnl`	Facial Expression Analysis under Partial Occlusion: A Survey. CoRR Ligang Zhang, Brijesh K. Verma, Dian Tjondronegoro, Vinod Chandran
2018	J	`jnl`	Facial Expression Analysis under Partial Occlusion: A Survey. ACM Comput. Surv. Ligang Zhang, Brijesh K. Verma, Dian Tjondronegoro, Vinod Chandran
2018	J	`jnl`	In Field Fruit Sizing Using A Smart Phone Application. Sensors Zhenglin Wang, Anand Koirala, Kerry B. Walsh, Nicholas Anderson, Brijesh K. Verma
2018	J	`jnl`	Monthly Rainfall Forecasting Using One-Dimensional Deep Convolutional Neural Network. IEEE Access Ali Haidar, Brijesh K. Verma
2018	—	`conf`	Optimizing clustering to promote data diversity when generating an ensemble classifier. GECCO (Companion) Zohaib M. Jan, Brijesh K. Verma, Sam Fletcher
2018	B	`conf`	Particle Swarm Optimization Based Approach for Finding Optimal Values of Convolutional Neural Network Parameters. CEC Toshi Sinha, Ali Haidar, Brijesh K. Verma
2018	J	`jnl`	Spatially Constrained Location Prior for Scene Parsing. CoRR Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury
2018	J	`jnl`	Superpixel based Class-Semantic Texton Occurrences for Natural Roadside Vegetation Segmentation. CoRR Ligang Zhang, Brijesh K. Verma
2018	B	`conf`	The Optimized Selection of Base-Classifiers for Ensemble Classification using a Multi-Objective Genetic Algorithm. IJCNN Sam Fletcher, Brijesh K. Verma, Zohaib M. Jan, Mengjie Zhang
2017	—	`conf`	A hybrid genetic algorithm for climate input features and neural network parameters selection. GECCO (Companion) Ali Haidar, Brijesh K. Verma
2017	B	`conf`	An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison. IJCNN Md. Asafuddoula, Brijesh K. Verma, Mengjie Zhang
2017	—	`conf`	Learning based fusion in ensembles for weather forecasting. ICNC-FSKD Ali Haidar, Brijesh K. Verma
2017	—	`conf`	Monthly Rainfall Categorization Based on Optimized Features and Neural Network. Australasian Conference on Artificial Intelligence Ali Haidar, Brijesh K. Verma
2017	J	`jnl`	On-Tree Mango Fruit Size Estimation Using RGB-D Images. Sensors Zhenglin Wang, Kerry B. Walsh, Brijesh K. Verma
2017	—	`conf`	Optimization of convolutional neural network parameters for image classification. SSCI Toshi Sinha, Brijesh K. Verma, Ali Haidar
2017	—	`conf`	Removing Bias from Diverse Data Clusters for Ensemble Classification. ICONIP (4) Sam Fletcher, Brijesh K. Verma
2017	—	`book`	Roadside Video Data Analysis: Deep Learning - Deep Learning Brijesh K. Verma, Ligang Zhang, David R. B. Stockwell
2017	J	`jnl`	Superpixel-based class-semantic texton occurrences for natural roadside vegetation segmentation. Mach. Vis. Appl. Ligang Zhang, Brijesh K. Verma
2016	—	`conf`	A genetic algorithm based feature selection approach for rainfall forecasting in sugarcane areas. SSCI Ali Haidar, Brijesh K. Verma
2016	B	`conf`	Aggregating pixel-level prediction and cluster-level texton occurrence within superpixel voting for roadside vegetation classification. IJCNN Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury
2016	—	`conf`	An ensemble of deep learning architectures for automatic feature extraction. SSCI Fatma Shaheen, Brijesh K. Verma
2016	Misc	`conf`	Automated mango flowering assessment via refinement segmentation. IVCNZ Zhenglin Wang, Brijesh K. Verma, Kerry B. Walsh, Phul Subedi, Anand Koirala
2016	Misc	`conf`	Deep Learning Based Computer Vision Technique for Automatic Heat Detection in Cows. DICTA Sujan Chowdhury, Brijesh K. Verma, Jessica Roberts, Nicholas Corbet, Dave Swain
2016	J	`jnl`	Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. IEEE Trans. Neural Networks Learn. Syst. Haibo He, Nitesh V. Chawla, Huanhuan Chen, Yoonsuck Choe, Andries P. Engelbrecht, Jaya deva, Lyle N. Long, Ali A. Minai, Feiping Nie, Umut Ozertem, Barak A. Pearlmutter, Ling Shao, Jennie Si, Jochen J. Steil, Brijesh K. Verma, Ding Wang
2016	Misc	`conf`	Impact of Automatic Feature Extraction in Deep Learning Architecture. DICTA Fatma Shaheen, Brijesh K. Verma, Md. Asafuddoula
2016	J	`jnl`	Nonlinear curve fitting to stopping power data using RBF neural networks. Expert Syst. Appl. Michael M. Li, Brijesh K. Verma
2016	—	`conf`	Position Gradient and Plane Consistency Based Feature Extraction. ICONIP (2) Sujan Chowdhury, Brijesh K. Verma, Ligang Zhang
2016	—	`conf`	Rule-Based Grass Biomass Classification for Roadside Fire Risk Assessment. ICONIP (4) Ligang Zhang, Brijesh K. Verma
2016	J	`jnl`	Spatial contextual superpixel model for natural roadside vegetation classification. Pattern Recognit. Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell
2016	B	`conf`	Spatially Constrained Location Prior for scene parsing. IJCNN Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury
2015	Misc	`conf`	A neural network based method to determine initial object positions for segmentation. ICNC Paul Moore, Brijesh K. Verma, Michael M. Li
2015	J	`jnl`	A novel texture feature based multiple classifier technique for roadside vegetation classification. Expert Syst. Appl. Sujan Chowdhury, Brijesh K. Verma, David R. Stockwell
2015	—	`conf`	An Improved RBF Neural Network Approach to Nonlinear Curve Fitting. IWANN (2) Michael M. Li, Brijesh K. Verma
2015	—	`conf`	Class-Semantic Color-Texture Textons for Vegetation Classification. ICONIP (1) Ligang Zhang, Brijesh K. Verma, David R. Stockwell
2015	Misc	`conf`	Class-Semantic Textons with Superpixel Neighborhoods for Natural Roadside Vegetation Classification. DICTA Ligang Zhang, Brijesh K. Verma
2015	B	`conf`	Genetic Programming for algae detection in river images. CEC Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Brijesh K. Verma
2015	B	`conf`	Image descriptor: A genetic programming approach to multiclass texture classification. CEC Harith Al-Sahaf, Mengjie Zhang, Mark Johnston, Brijesh K. Verma
2015	B	`conf`	Pixel characteristics based feature extraction approach for roadside object detection. IJCNN Sujan Chowdhury, Brijesh K. Verma, Mary Tom, Mengjie Zhang
2015	Misc	`conf`	Polynomial prediction of neurons in neural network classifier for breast cancer diagnosis. ICNC Peter McLeod, Brijesh K. Verma
2015	Misc	`conf`	Roadside vegetation classification using color intensity and moments. ICNC Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell
2015	—	`conf`	Segmentation of Geophysical Data: A Big Data Friendly Approach. INNS Conference on Big Data David R. B. Stockwell, Ligang Zhang, Brijesh K. Verma
2015	B	`conf`	Wavelet based fuzzy clustering technique for the extraction of road objects. FUZZ-IEEE Tejy Kinattukara, Brijesh K. Verma
2014	—	`conf`	A Neural Ensemble Approach for Segmentation and Classification of Road Images. ICONIP (3) Tejy Kinattukara, Brijesh K. Verma
2014	J	`jnl`	A Novel Hybrid Learning Technique for Roadside Vegetation Classification. Aust. J. Intell. Inf. Process. Syst. Sujan Chowdhury, Brijesh K. Verma, David R. Stockwell
2014	—	`conf`	Analysis of Hybrid Classification Approach to Differentiate Dense and Non-dense Grass Regions. SEAL Sujan Chowdhury, Brijesh K. Verma, David R. Stockwell
2014	B	`conf`	Optimizing configuration of neural ensemble network for breast cancer diagnosis. IJCNN Peter McLeod, Brijesh K. Verma, Mengjie Zhang
2013	J	`jnl`	Cluster Based Ensemble Classifier Generation by Joint Optimization of accuracy and Diversity. Int. J. Comput. Intell. Appl. Ashfaqur Rahman, Brijesh K. Verma
2013	B	`conf`	Cluster oriented ensemble classifiers using multi-objective evolutionary algorithm. IJCNN Ashfaqur Rahman, Brijesh K. Verma
2013	J	`jnl`	Cluster-based ensemble of classifiers. Expert Syst. J. Knowl. Eng. Ashfaqur Rahman, Brijesh K. Verma
2013	—	`conf`	Clustering based neural network approach for classification of road images. SoCPaR Tejy Kinattukara, Brijesh K. Verma
2013	—	`conf`	Effect of Varying Hidden Neurons and Data Size on Clusters, Layers, Diversity and Accuracy in Neural Ensemble Classifier. CSE Chien-Yuan Chiu, Brijesh K. Verma
2013	J	`jnl`	Effect of ensemble classifier composition on offline cursive character recognition. Inf. Process. Manag. Ashfaqur Rahman, Brijesh K. Verma
2013	—	`conf`	Effects of Large Constituent Size in Variable Neural Ensemble Classifier for Breast Mass Classification. ICONIP (3) Peter McLeod, Brijesh K. Verma
2013	J	`jnl`	Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm. Knowl. Based Syst. Ashfaqur Rahman, Brijesh K. Verma
2013	—	`conf`	Hierarchical Segment Learning Method for Road Objects Extraction and Classification. CSE Tejy Kinattukara, Brijesh K. Verma
2013	B	`conf`	Impact of variability in data on accuracy and diversity of neural network based ensemble classifiers. IJCNN Chien-Yuan Chiu, Brijesh K. Verma, Michael M. Li
2013	J	`jnl`	Relationship between Data Size, accuracy, Diversity and Clusters in Neural Network Ensembles. Int. J. Comput. Intell. Appl. Chien-Yuan Chiu, Brijesh K. Verma
2013	J	`jnl`	Variable Hidden Neuron Ensemble for Mass Classification in Digital Mammograms [Application Notes]. IEEE Comput. Intell. Mag. Peter McLeod, Brijesh K. Verma
2012	—	`conf`	A Multilayered Ensemble Architecture for the Classification of Masses in Digital Mammograms. Australasian Conference on Artificial Intelligence Peter McLeod, Brijesh K. Verma
2012	B	`conf`	A neural networks-based fitting to high energy stopping power data for heavy ions in solid matter. IJCNN Michael M. Li, William W. Guo, Brijesh K. Verma, Hong Lee
2012	B	`conf`	An hierarchical approach towards road image segmentation. IJCNN Ashfaqur Rahman, Brijesh K. Verma, David R. Stockwell
2012	J	`jnl`	Binary segmentation algorithm for English cursive handwriting recognition. Pattern Recognit. Hong Lee, Brijesh K. Verma
2012	J	`jnl`	Cluster-Oriented Ensemble Classifier: Impact of Multicluster Characterization on Ensemble Classifier Learning. IEEE Trans. Knowl. Data Eng. Brijesh K. Verma, Ashfaqur Rahman
2012	B	`conf`	Clustered ensemble neural network for breast mass classification in digital mammography. IJCNN Peter McLeod, Brijesh K. Verma
2012	B	`conf`	Influence of unstable patterns in layered cluster oriented ensemble classifier. IJCNN Ashfaqur Rahman, Brijesh K. Verma
2012	J	`jnl`	Selection and impact of different topologies in multi-layered hierarchical fuzzy systems. Appl. Intell. Juliusz Zajaczkowski, Brijesh K. Verma
2011	—	`conf`	An Automated System for the Analysis of the Status of Road Safety Using Neural Networks. ICONIP (3) Brijesh K. Verma, David R. Stockwell
2011	—	`conf`	An Evolutionary Algorithm Based Optimization of Neural Ensemble Classifiers. ICONIP (3) Chien-Yuan Chiu, Brijesh K. Verma
2011	B	`conf`	Ensemble classifier composition: Impact on feature based offline cursive character recognition. IJCNN Ashfaqur Rahman, Brijesh K. Verma
2011	J	`jnl`	Hybrid ensemble approach for classification. Appl. Intell. Brijesh K. Verma, Syed Zahid Hassan
2011	J	`jnl`	Multi-Cluster Support Vector Machine Classifier for the Classification of Suspicious Areas in Digital Mammograms. Int. J. Comput. Intell. Appl. Peter McLeod, Brijesh K. Verma
2011	J	`jnl`	Novel Layered Clustering-Based Approach for Generating Ensemble of Classifiers. IEEE Trans. Neural Networks Ashfaqur Rahman, Brijesh K. Verma
2011	J	`jnl`	Segment confidence-based binary segmentation (SCBS) for cursive handwritten words. Expert Syst. Appl. Brijesh K. Verma, Hong Lee
2010	J	`jnl`	A Novel Approach Based on Fusion of Three Neural Experts for Handwriting Recognition. Aust. J. Intell. Inf. Process. Syst. Hong Lee, Brijesh K. Verma, MinYeop Park
2010	B	`conf`	A classifier with clustered sub classes for the classification of suspicious areas in digital mammograms. IJCNN Peter McLeod, Brijesh K. Verma
2010	B	`conf`	A novel ensemble classifier approach using weak classifier learning on overlapping clusters. IJCNN Ashfaqur Rahman, Brijesh K. Verma
2010	B	`conf`	An evolutionary algorithm based approach for selection of topologies in hierarchical fuzzy systems. IEEE Congress on Evolutionary Computation Juliusz Zajaczkowski, Brijesh K. Verma
2010	J	`jnl`	Classification of benign and malignant patterns in digital mammograms for the diagnosis of breast cancer. Expert Syst. Appl. Brijesh K. Verma, Peter McLeod, Alan Klevansky
2010	B	`conf`	MOEA based hierarchical fuzzy control over the set of user-defined initial conditions. FUZZ-IEEE Juliusz Zajaczkowski, Brijesh K. Verma
2010	—	`conf`	Non-uniform Layered Clustering for Ensemble Classifier Generation and Optimality. ICONIP (1) Ashfaqur Rahman, Brijesh K. Verma, Xin Yao
2010	B	`conf`	Over-segmentation and Neural Binary Validation for cursive handwriting recognition. IJCNN Hong Lee, Brijesh K. Verma
2009	J	`jnl`	A Compositional Method Using an Evolutionary Algorithm for Finding Fuzzy Rules in 3-Layered Hierarchical Fuzzy Structure. Int. J. Comput. Intell. Appl. Juliusz Zajaczkowski, Brijesh K. Verma
2009	J	`jnl`	A novel soft cluster neural network for the classification of suspicious areas in digital mammograms. Pattern Recognit. Brijesh K. Verma, Peter McLeod, Alan Klevansky
2009	B	`conf`	Binary Segmentation with Neural Validation for Cursive Handwriting Recognition. IJCNN Hong Lee, Brijesh K. Verma
2009	B	`conf`	Impact of multiple clusters on neural classification of ROIs in digital mammograms. IJCNN Brijesh K. Verma
2009	J	`jnl`	Intelligent methods for solving inverse problems of backscattering spectra with noise: a comparison between neural networks and simulated annealing. Neural Comput. Appl. Michael M. Li, William W. Guo, Brijesh K. Verma, Kevin Tickle, John O'Connor
2009	J	`jnl`	Selection and fusion of facial features for face recognition. Expert Syst. Appl. Xiaolong Fan, Brijesh K. Verma
2008	B	`conf`	A novel multiple experts and fusion based segmentation algorithm for cursive handwriting recognition. IJCNN Hong Lee, Brijesh K. Verma
2008	—	`conf`	An Automatic Intelligent Language Classifier. ICONIP (2) Brijesh K. Verma, Hong Lee, John Zakos
2008	—	`conf`	Hierarchical Fuzzy Control for the Inverted Pendulum over the Set of Initial Conditions. SEAL Juliusz Zajaczkowski, Brijesh K. Verma
2008	J	`jnl`	Novel network architecture and learning algorithm for the classification of mass abnormalities in digitized mammograms. Artif. Intell. Medicine Brijesh K. Verma
2008	J	`jnl`	RBF neural networks for solving the inverse problem of backscattering spectra. Neural Comput. Appl. Michael M. Li, Brijesh K. Verma, Xiaolong Fan, Kevin Tickle
2007	C	`conf`	A Hybrid Data Mining Approach for Knowledge Extraction and Classification in Medical Databases. ISDA Syed Zahid Hassan, Brijesh K. Verma
2007	B	`conf`	A Segmentatilon based Adaptive Approach for Curs'ive Handwriltten Text Recognition. IJCNN Brijesh K. Verma, Hong Lee
2007	J	`jnl`	A novel neural-genetic algorithm to find the most significant combination of features in digital mammograms. Appl. Soft Comput. Brijesh K. Verma, Ping Zhang
2007	J	`jnl`	An investigation of the modified direction feature for cursive character recognition. Pattern Recognit. Michael Blumenstein, Xin Yu Liu, Brijesh K. Verma
2006	B	`conf`	A Neural Learning Algorithm for the Diagnosis of Breast Cancer. IJCNN Brijesh K. Verma
2006	B	`conf`	A Neural Network based Technique for Automatic Classification of Road Cracks. IJCNN Justin Bray, Brijesh K. Verma, Xue Li, Wade He
2006	J	`jnl`	A Novel Context-based Technique for Web Information Retrieval. World Wide Web John Zakos, Brijesh K. Verma
2006	—	`conf`	Characterization of Breast Abnormality Patterns in Digital Mammograms Using Auto-associator Neural Network. ICONIP (3) Rinku Panchal, Brijesh K. Verma
2006	J	`jnl`	Concept-Based Term Weighting for Web Information Retrieval. Int. J. Comput. Intell. Appl. John Zakos, Brijesh K. Verma
2006	J	`jnl`	Neural Classification of Mass Abnormalities with Different Types of Features in Digital Mammography. Int. J. Comput. Intell. Appl. Rinku Panchal, Brijesh K. Verma
2006	J	`jnl`	Neural-association of Microcalcification Patterns for their Reliable Classification in Digital Mammography. Int. J. Pattern Recognit. Artif. Intell. Rinku Panchal, Brijesh K. Verma
2005	—	`conf`	A Hybrid Classifier for Mass Classification with Different Kinds of Features in Mammography. FSKD (2) Ping Zhang, Kuldeep Kumar, Brijesh K. Verma
2005	A	`conf`	A Novel Context Matching Based Technique for Web Document Retrieval. ICDAR John Zakos, Brijesh K. Verma
2005	Misc	`conf`	Artificial neural network techniques for analysis of ion backscattering spectra. IC-AI Michael M. Li, Xiaolong Fan, Brijesh K. Verma, Ron Balsys, John O'Connor
2005	B	`conf`	Classification of breast abnormalities in digital mammograms using image and BI-RADS features in conjunction with neural network. IJCNN Rinku Panchal, Brijesh K. Verma
2005	J	`jnl`	Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection. Pattern Recognit. Lett. Ping Zhang, Brijesh K. Verma, Kuldeep Kumar
2005	B	`conf`	Optimization of parameters for effective Web information retrieval using an evolutionary algorithm. IJCNN John Zakos, Ping Zhang, Brijesh K. Verma
2004	J	`jnl`	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. Moumita Ghosh, Ranadhir Ghosh, Brijesh K. Verma
2004	B	`conf`	A Fusion of Neural Network Based Auto-associator and Classifier for the Classification of Microcalcification Patterns. ICONIP Rinku Panchal, Brijesh K. Verma
2004	B	`conf`	A feature extraction technique for online handwriting recognition. IJCNN Brijesh K. Verma, Jenny Lu, Moumita Ghosh, Ranadhir Ghosh
2004	J	`jnl`	A fuzzy-neural approach for interpretation and fusion of colour and texture features for CBIR systems. Appl. Soft Comput. Brijesh K. Verma, Siddhivinayak Kulkarni
2004	B	`conf`	A modified direction feature for cursive character recognition. IJCNN Michael Blumenstein, Xin Yu Liu, Brijesh K. Verma
2004	B	`conf`	A neural-genetic algorithm for feature selection and breast abnormality classification in digital mammography. IJCNN Ping Zhang, Brijesh K. Verma, Kuldeep Kumar
2004	J	`jnl`	A novel approach for structural feature extraction: Contour vs. direction. Pattern Recognit. Lett. Brijesh K. Verma, Michael Blumenstein, Moumita Ghosh
2004	J	`jnl`	Fuzzy logic based interpretation and fusion of color queries. Fuzzy Sets Syst. Brijesh K. Verma, Siddhivinayak Kulkarni
2003	A	`conf`	A Contour Code Feature Based Segmentation For Handwriting Recognition. ICDAR Brijesh K. Verma
2003	J	`jnl`	A Hierarchical Method for Finding Optimal Architecture and Weights Using Evolutionary Least Square Based Learning. Int. J. Neural Syst. Ranadhir Ghosh, Brijesh K. Verma
2003	A	`conf`	A Neural-Evolutionary Approach for Feature and Architecture Selection in Online Handwriting Recognition. ICDAR Brijesh K. Verma, Moumita Ghosh
2003	A	`conf`	A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters. ICDAR Michael Blumenstein, Brijesh K. Verma, H. Basli
2003	B	`conf`	A novel min-max feature value based neural architecture and learning algorithm for classification of microcalcifications. IJCNN Brijesh K. Verma, Rinku Panchal, Kuldeep Kumar
2003	B	`conf`	Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammography. IEEE Congress on Evolutionary Computation Ping Zhang, Brijesh K. Verma, Kuldeep Kumar
2002	B	`conf`	A novel evolutionary neural learning algorithm. IEEE Congress on Evolutionary Computation Brijesh K. Verma, Ranadhir Ghosh
2002	J	`jnl`	An Intelligent Hybrid Approach for Content-Based Image Retrieval. Int. J. Comput. Intell. Appl. Siddhivinayak Kulkarni, Brijesh K. Verma
2002	J	`jnl`	Segmentation Versus Non-Segmentation Based Neural Techniques for Cursive Word Recognition: An Experimental Analysis. Int. J. Comput. Intell. Appl. Xiaolong Fan, Brijesh K. Verma
2001	J	`jnl`	A computer-aided diagnosis system for digital mammograms based on fuzzy-neural and feature extraction techniques. IEEE Trans. Inf. Technol. Biomed. Brijesh K. Verma, John Zakos
2001	A	`conf`	Analysis of Segmentation Performance on the CEDAR Benchmark Database. ICDAR Michael Blumenstein, Brijesh K. Verma
2001	J	`jnl`	Fusion of multiple handwritten word recognition techniques. Pattern Recognit. Lett. Brijesh K. Verma, Paul D. Gader, Wen-Tsong Chen
2001	C	`conf`	Texture Feature Extraction and Classification. CAIP Brijesh K. Verma, Siddhivinayak Kulkarni
2000	J	`jnl`	Vertical jump height prediction using EMG characteristics and neural networks. Cogn. Syst. Res. Brijesh K. Verma, Chris Lane
1999	B	`conf`	A new segmentation algorithm for handwritten word recognition. IJCNN Michael Blumenstein, Brijesh K. Verma
1999	J	`jnl`	Comparative Evaluation of Two Neural Network Based Techniques for Classification of Microcalcifications in Digital Mammograms. Knowl. Inf. Syst. Brijesh K. Verma
1999	B	`conf`	Content based image retrieval using a neuro-fuzzy technique. IJCNN S. Kulkami, Brijesh K. Verma, P. Sharma, Henry Selvaraj
1999	A	`conf`	Neural-based Solutions for the Segmentation and Recognition of Difficult Handwritten Words from a Benchmark Database. ICDAR Michael Blumenstein, Brijesh K. Verma
1997	J	`jnl`	Fast training of multilayer perceptrons. IEEE Trans. Neural Networks Brijesh K. Verma
1997	J	`jnl`	Recognition of Rotating Images Using an Automatic Feature Extraction Technique and Neural Networks. Int. J. Neural Syst. Brijesh K. Verma
1995	B	`conf`	A new training algorithm for feedforward neural networks. ESANN Brijesh K. Verma, Jan J. Mulawka
1995	—	`conf`	Handwritten Hindi character recognition using multilayer perceptron and radial basis function neural networks. ICNN Brijesh K. Verma
1994	—	`conf`	Training of the Multilayer Perceptrons using Direct Solution Methods. Applied Informatics Brijesh K. Verma, Praveen Sharma, Jan J. Mulawka