| 2024 | ICONIP | Optimizing CNNs with Gram Schmidt Non-iterative Learning for Image Recognition. | Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang |
| 2024 | IJCNN | Neuron Efficiency Index: An Empirical Method for Optimizing Parameters in Deep Learning. | Basim Azam, Deepthi Praveenlal Kuttichira, Brijesh K. Verma |
| 2023 | DICTA | A Novel Graph-based Framework for Explainable Image Classification: Features That Matter. | Basim Azam, Brijesh K. Verma, Deepthi Praveenlal Kuttichira, Abdul Sattar |
| 2023 | IJCNN | A Graph-based Context Learning Technique for Image Parsing. | Basim Azam, Brijesh K. Verma |
| 2023 | IJCNN | Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations. | Deepthi Praveenlal Kuttichira, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang |
| 2023 | IVCNZ | 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 |
| 2022 | ICONIP | A Novel Optimized Context-Based Deep Architecture for Scene Parsing. | Ranju Mandal, Brijesh K. Verma, Basim Azam, Henry Selvaraj |
| 2022 | IVCNZ | A Novel Explainable Deep Learning Model with Class Specific Features. | Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang |
| 2021 | CEC | Deep Learning Model with GA-based Visual Feature Selection and Context Integration. | Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang |
| 2021 | CEC | A Novel Evolving Classifier with a False Alarm Class for Speed Limit Sign Recognition. | Pubudu Sanjeewani, Brijesh K. Verma, Joseph Affum |
| 2021 | DICTA | Fully Convolutional Neural Network with Relation Aware Context Information for Image Parsing. | Basim Azam, Ranju Mandal, Brijesh K. Verma |
| 2021 | ICONIP | Context-Based Deep Learning Architecture with Optimal Integration Layer for Image Parsing. | Ranju Mandal, Basim Azam, Brijesh K. Verma |
| 2021 | IJCNN | Relationship Aware Context Adaptive Feature Selection Framework for Image Parsing. | Basim Azam, Ranju Mandal, Brijesh K. Verma |
| 2021 | IJCNN | Auto-Associative Features with Non-Iterative Learning Based Technique for Image Classification. | Toshi Sinha, Brijesh K. Verma |
| 2021 | IVCNZ | Multi-stage Deep Learning Technique for Improving Traffic Sign Recognition. | Pubudu Sanjeewani, Brijesh K. Verma, Joseph Affum |
| 2020 | ICONIP | Convolutional Neural Network Architecture with Exact Solution. | Toshi Sinha, Brijesh K. Verma |
| 2020 | IJCNN | Optimal Clusters Generation for Maximizing Ensemble Classifier Performance. | Zohaib M. Jan, Brijesh K. Verma |
| 2020 | IJCNN | A Non-iterative Radial Basis Function Based Quick Convolutional Neural Network. | Toshi Sinha, Brijesh K. Verma |
| 2020 | IJCNN | Multi-Receptive Atrous Convolutional Network for Semantic Segmentation. | Mingyang Zhong, Brijesh K. Verma, Joseph Affum |
| 2020 | IVCNZ | Class Probability-based Visual and Contextual Feature Integration for Image Parsing. | Basim Azam, Ranju Mandal, Ligang Zhang, Brijesh K. Verma |
| 2020 | IVCNZ | An optimisation Technique for the Detection of Safety Attributes Using Roadside Video Data. | Pubudu Sanjeewani, Brijesh K. Verma |
| 2019 | CEC | Evolving One-Dimensional Deep Convolutional Neural Network: A Swarm based Approach. | Ali Haidar, Zohaib Md. Jan, Brijesh K. Verma |
| 2019 | CEC | Ensemble Classifier Optimization by Reducing Input Features and Base Classifiers. | Zohaib Md. Jan, Brijesh K. Verma |
| 2019 | ICONIP | Ensemble Classifier Generation Using Class-Pure Cluster Balancing. | Zohaib M. Jan, Brijesh K. Verma |
| 2019 | ICONIP | Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes. | Mingyang Zhong, Brijesh K. Verma, Joseph Affum |
| 2019 | IVCNZ | Learning and Analysis of AusRAP Attributes from Digital Video Recording for Road Safety. | Thihagoda Gamage Pubudu Sanjeewani, Brijesh K. Verma |
| 2018 | CEC | A Novel Approach for Optimizing Ensemble Components in Rainfall Prediction. | Ali Haidar, Brijesh K. Verma, Toshi Sinha |
| 2018 | CEC | Particle Swarm Optimization Based Approach for Finding Optimal Values of Convolutional Neural Network Parameters. | Toshi Sinha, Ali Haidar, Brijesh K. Verma |
| 2018 | GECCO | Optimizing clustering to promote data diversity when generating an ensemble classifier. | Zohaib M. Jan, Brijesh K. Verma, Sam Fletcher |
| 2018 | IJCNN | 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 |
| 2018 | IVCNZ | A Convolutional Neural Network Based Deep Learning Technique for Identifying Road Attributes. | Zohaib M. Jan, Brijesh K. Verma, Joseph Affum, Sam Atabak, Lachlan Moir |
| 2017 | GECCO | A hybrid genetic algorithm for climate input features and neural network parameters selection. | Ali Haidar, Brijesh K. Verma |
| 2017 | ICNC | Learning based fusion in ensembles for weather forecasting. | Ali Haidar, Brijesh K. Verma |
| 2017 | ICONIP | Removing Bias from Diverse Data Clusters for Ensemble Classification. | Sam Fletcher, Brijesh K. Verma |
| 2017 | IJCNN | An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison. | Md. Asafuddoula, Brijesh K. Verma, Mengjie Zhang |
| 2016 | DICTA | Deep Learning Based Computer Vision Technique for Automatic Heat Detection in Cows. | Sujan Chowdhury, Brijesh K. Verma, Jessica Roberts, Nicholas Corbet, Dave Swain |
| 2016 | DICTA | Impact of Automatic Feature Extraction in Deep Learning Architecture. | Fatma Shaheen, Brijesh K. Verma, Md. Asafuddoula |
| 2016 | ICONIP | Position Gradient and Plane Consistency Based Feature Extraction. | Sujan Chowdhury, Brijesh K. Verma, Ligang Zhang |
| 2016 | ICONIP | Rule-Based Grass Biomass Classification for Roadside Fire Risk Assessment. | Ligang Zhang, Brijesh K. Verma |
| 2016 | IJCNN | Spatially Constrained Location Prior for scene parsing. | Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury |
| 2016 | IJCNN | 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 |
| 2016 | IVCNZ | Automated mango flowering assessment via refinement segmentation. | Zhenglin Wang, Brijesh K. Verma, Kerry B. Walsh, Phul Subedi, Anand Koirala |
| 2015 | CEC | Image descriptor: A genetic programming approach to multiclass texture classification. | Harith Al-Sahaf, Mengjie Zhang, Mark Johnston, Brijesh K. Verma |
| 2015 | CEC | Genetic Programming for algae detection in river images. | Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Brijesh K. Verma |
| 2015 | DICTA | Class-Semantic Textons with Superpixel Neighborhoods for Natural Roadside Vegetation Classification. | Ligang Zhang, Brijesh K. Verma |
| 2015 | ICNC | Polynomial prediction of neurons in neural network classifier for breast cancer diagnosis. | Peter McLeod, Brijesh K. Verma |
| 2015 | ICNC | A neural network based method to determine initial object positions for segmentation. | Paul Moore, Brijesh K. Verma, Michael M. Li |
| 2015 | ICNC | Roadside vegetation classification using color intensity and moments. | Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell |
| 2015 | ICONIP | Class-Semantic Color-Texture Textons for Vegetation Classification. | Ligang Zhang, Brijesh K. Verma, David R. Stockwell |
| 2015 | IJCNN | Pixel characteristics based feature extraction approach for roadside object detection. | Sujan Chowdhury, Brijesh K. Verma, Mary Tom, Mengjie Zhang |
| 2015 | IWANN | An Improved RBF Neural Network Approach to Nonlinear Curve Fitting. | Michael M. Li, Brijesh K. Verma |
| 2014 | ICONIP | A Neural Ensemble Approach for Segmentation and Classification of Road Images. | Tejy Kinattukara, Brijesh K. Verma |
| 2014 | IJCNN | Optimizing configuration of neural ensemble network for breast cancer diagnosis. | Peter McLeod, Brijesh K. Verma, Mengjie Zhang |
| 2013 | ICONIP | Effects of Large Constituent Size in Variable Neural Ensemble Classifier for Breast Mass Classification. | Peter McLeod, Brijesh K. Verma |
| 2013 | IJCNN | Impact of variability in data on accuracy and diversity of neural network based ensemble classifiers. | Chien-Yuan Chiu, Brijesh K. Verma, Michael M. Li |
| 2013 | IJCNN | Cluster oriented ensemble classifiers using multi-objective evolutionary algorithm. | Ashfaqur Rahman, Brijesh K. Verma |
| 2012 | IJCNN | 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 |
| 2012 | IJCNN | Clustered ensemble neural network for breast mass classification in digital mammography. | Peter McLeod, Brijesh K. Verma |
| 2012 | IJCNN | Influence of unstable patterns in layered cluster oriented ensemble classifier. | Ashfaqur Rahman, Brijesh K. Verma |
| 2012 | IJCNN | An hierarchical approach towards road image segmentation. | Ashfaqur Rahman, Brijesh K. Verma, David R. Stockwell |
| 2011 | ICONIP | An Evolutionary Algorithm Based Optimization of Neural Ensemble Classifiers. | Chien-Yuan Chiu, Brijesh K. Verma |
| 2011 | ICONIP | An Automated System for the Analysis of the Status of Road Safety Using Neural Networks. | Brijesh K. Verma, David R. Stockwell |
| 2011 | IJCNN | Ensemble classifier composition: Impact on feature based offline cursive character recognition. | Ashfaqur Rahman, Brijesh K. Verma |
| 2010 | CEC | An evolutionary algorithm based approach for selection of topologies in hierarchical fuzzy systems. | Juliusz Zajaczkowski, Brijesh K. Verma |
| 2010 | ICONIP | Non-uniform Layered Clustering for Ensemble Classifier Generation and Optimality. | Ashfaqur Rahman, Brijesh K. Verma, Xin Yao |
| 2010 | IJCNN | Over-segmentation and Neural Binary Validation for cursive handwriting recognition. | Hong Lee, Brijesh K. Verma |
| 2010 | IJCNN | A classifier with clustered sub classes for the classification of suspicious areas in digital mammograms. | Peter McLeod, Brijesh K. Verma |
| 2010 | IJCNN | A novel ensemble classifier approach using weak classifier learning on overlapping clusters. | Ashfaqur Rahman, Brijesh K. Verma |
| 2009 | IJCNN | Binary Segmentation with Neural Validation for Cursive Handwriting Recognition. | Hong Lee, Brijesh K. Verma |
| 2009 | IJCNN | Impact of multiple clusters on neural classification of ROIs in digital mammograms. | Brijesh K. Verma |
| 2008 | ICONIP | An Automatic Intelligent Language Classifier. | Brijesh K. Verma, Hong Lee, John Zakos |
| 2008 | IJCNN | A novel multiple experts and fusion based segmentation algorithm for cursive handwriting recognition. | Hong Lee, Brijesh K. Verma |
| 2007 | IJCNN | A Segmentatilon based Adaptive Approach for Curs'ive Handwriltten Text Recognition. | Brijesh K. Verma, Hong Lee |
| 2007 | ISDA | A Hybrid Data Mining Approach for Knowledge Extraction and Classification in Medical Databases. | Syed Zahid Hassan, Brijesh K. Verma |
| 2006 | ICONIP | Characterization of Breast Abnormality Patterns in Digital Mammograms Using Auto-associator Neural Network. | Rinku Panchal, Brijesh K. Verma |
| 2006 | IJCNN | A Neural Network based Technique for Automatic Classification of Road Cracks. | Justin Bray, Brijesh K. Verma, Xue Li, Wade He |
| 2006 | IJCNN | A Neural Learning Algorithm for the Diagnosis of Breast Cancer. | Brijesh K. Verma |
| 2005 | ICDAR | A Novel Context Matching Based Technique for Web Document Retrieval. | John Zakos, Brijesh K. Verma |
| 2005 | IJCNN | Classification of breast abnormalities in digital mammograms using image and BI-RADS features in conjunction with neural network. | Rinku Panchal, Brijesh K. Verma |
| 2005 | IJCNN | Optimization of parameters for effective Web information retrieval using an evolutionary algorithm. | John Zakos, Ping Zhang, Brijesh K. Verma |
| 2004 | ICONIP | A Fusion of Neural Network Based Auto-associator and Classifier for the Classification of Microcalcification Patterns. | Rinku Panchal, Brijesh K. Verma |
| 2004 | IJCNN | A modified direction feature for cursive character recognition. | Michael Blumenstein, Xin Yu Liu, Brijesh K. Verma |
| 2004 | IJCNN | A feature extraction technique for online handwriting recognition. | Brijesh K. Verma, Jenny Lu, Moumita Ghosh, Ranadhir Ghosh |
| 2004 | IJCNN | A neural-genetic algorithm for feature selection and breast abnormality classification in digital mammography. | Ping Zhang, Brijesh K. Verma, Kuldeep Kumar |
| 2003 | CEC | Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammography. | Ping Zhang, Brijesh K. Verma, Kuldeep Kumar |
| 2003 | ICDAR | A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters. | Michael Blumenstein, Brijesh K. Verma, H. Basli |
| 2003 | ICDAR | A Contour Code Feature Based Segmentation For Handwriting Recognition. | Brijesh K. Verma |
| 2003 | ICDAR | A Neural-Evolutionary Approach for Feature and Architecture Selection in Online Handwriting Recognition. | Brijesh K. Verma, Moumita Ghosh |
| 2003 | IJCNN | A novel min-max feature value based neural architecture and learning algorithm for classification of microcalcifications. | Brijesh K. Verma, Rinku Panchal, Kuldeep Kumar |
| 2002 | CEC | A novel evolutionary neural learning algorithm. | Brijesh K. Verma, Ranadhir Ghosh |
| 2001 | CAIP | Texture Feature Extraction and Classification. | Brijesh K. Verma, Siddhivinayak Kulkarni |
| 2001 | ICDAR | Analysis of Segmentation Performance on the CEDAR Benchmark Database. | Michael Blumenstein, Brijesh K. Verma |
| 1999 | ICDAR | Neural-based Solutions for the Segmentation and Recognition of Difficult Handwritten Words from a Benchmark Database. | Michael Blumenstein, Brijesh K. Verma |
| 1999 | IJCNN | A new segmentation algorithm for handwritten word recognition. | Michael Blumenstein, Brijesh K. Verma |
| 1999 | IJCNN | Content based image retrieval using a neuro-fuzzy technique. | S. Kulkami, Brijesh K. Verma, P. Sharma, Henry Selvaraj |
| 1995 | ESANN | A new training algorithm for feedforward neural networks. | Brijesh K. Verma, Jan J. Mulawka |