Brijesh K. Verma

ORCID

Publication Activity (10 Years)

Years Active: 1994-2023
Publications (10 Years): 86

Top Venues

Publications

Basim Azam, Brijesh K. Verma
A Graph-based Context Learning Technique for Image Parsing. IJCNN (2023)
Ranju Mandal, Brijesh K. Verma
Parameter Optimisation for Context-Adaptive Deep Layered Network for Semantic Segmentation. SSCI (2023)
Basim Azam, Brijesh K. Verma, Deepthi Praveenlal Kuttichira, Abdul Sattar
A Novel Graph-based Framework for Explainable Image Classification: Features That Matter. DICTA (2023)
Deepthi Praveenlal Kuttichira, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations. IJCNN (2023)
Basim Azam, Brijesh K. Verma, Mengjie Zhang
Context-Adaptive Deep Learning for Efficient Image Parsing in Remote Sensing: An Automated Parameter Selection Approach. SSCI (2023)
Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang, Abdul Sattar
Neural Network Feature Explanation Using Neuron Activation Rate Based Bipartite Graph. IVCNZ (2023)
Ranju Mandal, Basim Azam, Brijesh K. Verma
Context-based Deep Learning Architecture with Optimal Integration Layer for Image Parsing. CoRR (2022)
Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang
A Novel Explainable Deep Learning Model with Class Specific Features. IVCNZ (2022)
Toshi Sinha, Brijesh K. Verma
Fast Convolutional Neural Network with iterative and non-iterative learning. Appl. Soft Comput. 125 (2022)
Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang
Deep Learning Model with GA based Feature Selection and Context Integration. CoRR (2022)
Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang
Genetic Algorithms for Optimising Context-based Neural Networks for Image Segmentation. SSCI (2022)
Basim Azam, Ranju Mandal, Brijesh K. Verma
Relationship aware context adaptive deep learning for image parsing. Inf. Sci. 607 (2022)
Ranju Mandal, Brijesh K. Verma, Basim Azam, Henry Selvaraj
A Novel Optimized Context-Based Deep Architecture for Scene Parsing. ICONIP (6) (2022)
Toshi Sinha, Brijesh K. Verma
Convolutional Ensemble Network for Image Classification. SSCI (2022)
Asanka G. Perera, Brijesh K. Verma
Road Severity Distance Calculation Technique Using Deep Learning Predictions in 3-D Space. IEEE Access 10 (2022)
Zohaib M. Jan, Brijesh K. Verma
Multicluster Class-Balanced Ensemble. IEEE Trans. Neural Networks Learn. Syst. 32 (3) (2021)
Basim Azam, Ranju Mandal, Brijesh K. Verma
Fully Convolutional Neural Network with Relation Aware Context Information for Image Parsing. DICTA (2021)
Pubudu Sanjeewani, Brijesh K. Verma
Optimization of Fully Convolutional Network for Road Safety Attribute Detection. IEEE Access 9 (2021)
Pubudu Sanjeewani, Brijesh K. Verma, Joseph Affum
A Novel Evolving Classifier with a False Alarm Class for Speed Limit Sign Recognition. CEC (2021)
Ranju Mandal, Basim Azam, Brijesh K. Verma
Context-Based Deep Learning Architecture with Optimal Integration Layer for Image Parsing. ICONIP (2) (2021)
Basim Azam, Ranju Mandal, Brijesh K. Verma
Relationship Aware Context Adaptive Feature Selection Framework for Image Parsing. IJCNN (2021)
Pubudu Sanjeewani, Brijesh K. Verma
Single class detection-based deep learning approach for identification of road safety attributes. Neural Comput. Appl. 33 (15) (2021)
Mitchell D. Woodbright, Brijesh K. Verma, Ali Haidar
Autonomous deep feature extraction based method for epileptic EEG brain seizure classification. Neurocomputing 444 (2021)
Toshi Sinha, Brijesh K. Verma
Auto-Associative Features with Non-Iterative Learning Based Technique for Image Classification. IJCNN (2021)
Pubudu Sanjeewani, Brijesh K. Verma, Joseph Affum
Multi-stage Deep Learning Technique for Improving Traffic Sign Recognition. IVCNZ (2021)
Pubudu Sanjeewani, Brijesh K. Verma, Joseph Affum
Multi-stage Deep Learning Technique with a Cascaded Classifier for Turn Lanes Recognition. SSCI (2021)
Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang
Deep Learning Model with GA-based Visual Feature Selection and Context Integration. CEC (2021)
Basim Azam, Ranju Mandal, Ligang Zhang, Brijesh K. Verma
Class Probability-based Visual and Contextual Feature Integration for Image Parsing. IVCNZ (2020)
Toshi Sinha, Brijesh K. Verma
Convolutional Neural Network Architecture with Exact Solution. ICONIP (5) (2020)
Toshi Sinha, Brijesh K. Verma
A Non-iterative Radial Basis Function Based Quick Convolutional Neural Network. IJCNN (2020)
Toshi Sinha, Brijesh K. Verma
A Novel Method Based on Convolutional Features with Non-Iterative Learning for Brain Tumor Classification. SSCI (2020)
Mingyang Zhong, Brijesh K. Verma, Joseph Affum
Multi-Receptive Atrous Convolutional Network for Semantic Segmentation. IJCNN (2020)
Zohaib Md. Jan, Brijesh K. Verma
Evolutionary Classifier and Cluster Selection Approach for Ensemble Classification. ACM Trans. Knowl. Discov. Data 14 (1) (2020)
Zohaib M. Jan, Brijesh K. Verma
Optimal Clusters Generation for Maximizing Ensemble Classifier Performance. IJCNN (2020)
Pubudu Sanjeewani, Brijesh K. Verma
An optimisation Technique for the Detection of Safety Attributes Using Roadside Video Data. IVCNZ (2020)
Zohaib M. Jan, Brijesh K. Verma
Multiple strong and balanced cluster-based ensemble of deep learners. Pattern Recognit. 107 (2020)
Zohaib Md. Jan, Brijesh K. Verma
Multiple Elimination of Base Classifiers in Ensemble Learning Using Accuracy and Diversity Comparisons. ACM Trans. Intell. Syst. Technol. 11 (6) (2020)
Sam Fletcher, Brijesh K. Verma, Mengjie Zhang
A non-specialized ensemble classifier using multi-objective optimization. Neurocomputing 409 (2020)
Ali Haidar, Brijesh K. Verma, Rim Haidar
A Swarm based Optimization of the XGBoost Parameters. Aust. J. Intell. Inf. Process. Syst. 16 (4) (2019)
Ali Haidar, Zohaib Md. Jan, Brijesh K. Verma
Evolving One-Dimensional Deep Convolutional Neural Network: A Swarm based Approach. CEC (2019)
Ligang Zhang, Brijesh K. Verma
A deep neural network and rule-based technique for fire risk identification in video frames. Pattern Anal. Appl. 22 (1) (2019)
Sam Fletcher, Brijesh K. Verma
Pruning High-Similarity Clusters to Optimize Data Diversity when Building Ensemble Classifiers. Int. J. Comput. Intell. Appl. 18 (4) (2019)
Mingyang Zhong, Brijesh K. Verma, Joseph Affum
Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes. ICONIP (2) (2019)
Zohaib Md. Jan, Brijesh K. Verma
Balanced Image Data Based Ensemble of Convolutional Neural Networks. SSCI (2019)
Thihagoda Gamage Pubudu Sanjeewani, Brijesh K. Verma
Learning and Analysis of AusRAP Attributes from Digital Video Recording for Road Safety. IVCNZ (2019)
Zohaib Md. Jan, Brijesh K. Verma
Ensemble Classifier Optimization by Reducing Input Features and Base Classifiers. CEC (2019)
Jeffrey Lee, Zohaib Md. Jan, Brijesh K. Verma
A Novel Neural Network Based Method for Analysis of Pavement Deflection Data. SSCI (2019)
Mingyang Zhong, Brijesh K. Verma, Joseph Affirm
Point Cloud Classification for Detecting Roadside Safety Attributes and Distances. SSCI (2019)
Ligang Zhang, Brijesh K. Verma
Roadside vegetation segmentation with Adaptive Texton Clustering Model. Eng. Appl. Artif. Intell. 77 (2019)
Zohaib M. Jan, Brijesh K. Verma
Ensemble Classifier Generation Using Class-Pure Cluster Balancing. ICONIP (5) (2019)
Zohaib M. Jan, Brijesh K. Verma
A Novel Diversity Measure and Classifier Selection Approach for Generating Ensemble Classifiers. IEEE Access 7 (2019)
Zohaib M. Jan, Brijesh K. Verma, Sam Fletcher
Optimizing clustering to promote data diversity when generating an ensemble classifier. GECCO (Companion) (2018)
Ligang Zhang, Brijesh K. Verma, Dian Tjondronegoro, Vinod Chandran
Facial Expression Analysis under Partial Occlusion: A Survey. CoRR (2018)
Ali Haidar, Brijesh K. Verma, Toshi Sinha
A Novel Approach for Optimizing Ensemble Components in Rainfall Prediction. CEC (2018)
Ali Haidar, Brijesh K. Verma
Monthly Rainfall Forecasting Using One-Dimensional Deep Convolutional Neural Network. IEEE Access 6 (2018)
Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury
Density Weighted Connectivity of Grass Pixels in Image Frames for Biomass Estimation. CoRR (2018)
Sam Fletcher, Brijesh K. Verma, Zohaib M. Jan, Mengjie Zhang
The Optimized Selection of Base-Classifiers for Ensemble Classification using a Multi-Objective Genetic Algorithm. IJCNN (2018)
Ali Haidar, Brijesh K. Verma
A novel approach for optimizing climate features and network parameters in rainfall forecasting. Soft Comput. 22 (24) (2018)
Ligang Zhang, Brijesh K. Verma, Dian Tjondronegoro, Vinod Chandran
Facial Expression Analysis under Partial Occlusion: A Survey. ACM Comput. Surv. 51 (2) (2018)
Ligang Zhang, Brijesh K. Verma
Superpixel based Class-Semantic Texton Occurrences for Natural Roadside Vegetation Segmentation. CoRR (2018)
Md. Asafuddoula, Brijesh K. Verma, Mengjie Zhang
A Divide-and-Conquer-Based Ensemble Classifier Learning by Means of Many-Objective Optimization. IEEE Trans. Evol. Comput. 22 (5) (2018)
Toshi Sinha, Ali Haidar, Brijesh K. Verma
Particle Swarm Optimization Based Approach for Finding Optimal Values of Convolutional Neural Network Parameters. CEC (2018)
Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury
Density Weighted Connectivity of Grass Pixels in image frames for biomass estimation. Expert Syst. Appl. 101 (2018)
Zhenglin Wang, Anand Koirala, Kerry B. Walsh, Nicholas Anderson, Brijesh K. Verma
In Field Fruit Sizing Using A Smart Phone Application. Sensors 18 (10) (2018)
Zohaib M. Jan, Brijesh K. Verma, Joseph Affum, Sam Atabak, Lachlan Moir
A Convolutional Neural Network Based Deep Learning Technique for Identifying Road Attributes. IVCNZ (2018)
Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury
Spatially Constrained Location Prior for Scene Parsing. CoRR (2018)
Ali Haidar, Brijesh K. Verma
A hybrid genetic algorithm for climate input features and neural network parameters selection. GECCO (Companion) (2017)
Md. Asafuddoula, Brijesh K. Verma, Mengjie Zhang
An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison. IJCNN (2017)
Ali Haidar, Brijesh K. Verma
Learning based fusion in ensembles for weather forecasting. ICNC-FSKD (2017)
Ali Haidar, Brijesh K. Verma
Monthly Rainfall Categorization Based on Optimized Features and Neural Network. Australasian Conference on Artificial Intelligence (2017)
Ligang Zhang, Brijesh K. Verma
Superpixel-based class-semantic texton occurrences for natural roadside vegetation segmentation. Mach. Vis. Appl. 28 (3-4) (2017)
Zhenglin Wang, Kerry B. Walsh, Brijesh K. Verma
On-Tree Mango Fruit Size Estimation Using RGB-D Images. Sensors 17 (12) (2017)
Sam Fletcher, Brijesh K. Verma
Removing Bias from Diverse Data Clusters for Ensemble Classification. ICONIP (4) (2017)
Toshi Sinha, Brijesh K. Verma, Ali Haidar
Optimization of convolutional neural network parameters for image classification. SSCI (2017)
Sujan Chowdhury, Brijesh K. Verma, Ligang Zhang
Position Gradient and Plane Consistency Based Feature Extraction. ICONIP (2) (2016)
Michael M. Li, Brijesh K. Verma
Nonlinear curve fitting to stopping power data using RBF neural networks. Expert Syst. Appl. 45 (2016)
Ali Haidar, Brijesh K. Verma
A genetic algorithm based feature selection approach for rainfall forecasting in sugarcane areas. SSCI (2016)
Sujan Chowdhury, Brijesh K. Verma, Jessica Roberts, Nicholas Corbet, Dave Swain
Deep Learning Based Computer Vision Technique for Automatic Heat Detection in Cows. DICTA (2016)
Fatma Shaheen, Brijesh K. Verma
An ensemble of deep learning architectures for automatic feature extraction. SSCI (2016)
Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell
Spatial contextual superpixel model for natural roadside vegetation classification. Pattern Recognit. 60 (2016)
Zhenglin Wang, Brijesh K. Verma, Kerry B. Walsh, Phul Subedi, Anand Koirala
Automated mango flowering assessment via refinement segmentation. IVCNZ (2016)
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
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. IEEE Trans. Neural Networks Learn. Syst. 27 (1) (2016)
Fatma Shaheen, Brijesh K. Verma, Md. Asafuddoula
Impact of Automatic Feature Extraction in Deep Learning Architecture. DICTA (2016)
Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury
Aggregating pixel-level prediction and cluster-level texton occurrence within superpixel voting for roadside vegetation classification. IJCNN (2016)
Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury
Spatially Constrained Location Prior for scene parsing. IJCNN (2016)
Ligang Zhang, Brijesh K. Verma
Rule-Based Grass Biomass Classification for Roadside Fire Risk Assessment. ICONIP (4) (2016)
Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell
Roadside vegetation classification using color intensity and moments. ICNC (2015)
Ligang Zhang, Brijesh K. Verma, David R. Stockwell
Class-Semantic Color-Texture Textons for Vegetation Classification. ICONIP (1) (2015)
Sujan Chowdhury, Brijesh K. Verma, Mary Tom, Mengjie Zhang
Pixel characteristics based feature extraction approach for roadside object detection. IJCNN (2015)
Sujan Chowdhury, Brijesh K. Verma, David R. Stockwell
A novel texture feature based multiple classifier technique for roadside vegetation classification. Expert Syst. Appl. 42 (12) (2015)
Tejy Kinattukara, Brijesh K. Verma
Wavelet based fuzzy clustering technique for the extraction of road objects. FUZZ-IEEE (2015)
David R. B. Stockwell, Ligang Zhang, Brijesh K. Verma
Segmentation of Geophysical Data: A Big Data Friendly Approach. INNS Conference on Big Data (2015)
Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Brijesh K. Verma
Genetic Programming for algae detection in river images. CEC (2015)
Michael M. Li, Brijesh K. Verma
An Improved RBF Neural Network Approach to Nonlinear Curve Fitting. IWANN (2) (2015)
Paul Moore, Brijesh K. Verma, Michael M. Li
A neural network based method to determine initial object positions for segmentation. ICNC (2015)
Harith Al-Sahaf, Mengjie Zhang, Mark Johnston, Brijesh K. Verma
Image descriptor: A genetic programming approach to multiclass texture classification. CEC (2015)
Ligang Zhang, Brijesh K. Verma
Class-Semantic Textons with Superpixel Neighborhoods for Natural Roadside Vegetation Classification. DICTA (2015)
Peter McLeod, Brijesh K. Verma
Polynomial prediction of neurons in neural network classifier for breast cancer diagnosis. ICNC (2015)
Tejy Kinattukara, Brijesh K. Verma
A Neural Ensemble Approach for Segmentation and Classification of Road Images. ICONIP (3) (2014)
Sujan Chowdhury, Brijesh K. Verma, David R. Stockwell
Analysis of Hybrid Classification Approach to Differentiate Dense and Non-dense Grass Regions. SEAL (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Brijesh K. Verma