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Brijesh K. Verma
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- affiliation: Central Queensland University, Brisbane, Australia
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2020 – today
- 2024
- [j71]Basim Azam, Deepthi Praveenlal Kuttichira, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang:
Explainable Image Recognition With Graph-Based Feature Extraction. IEEE Access 12: 150325-150333 (2024) - [c115]Basim Azam, Deepthi Praveenlal Kuttichira, Brijesh K. Verma:
Neuron Efficiency Index: An Empirical Method for Optimizing Parameters in Deep Learning. IJCNN 2024: 1-6 - 2023
- [c114]Basim Azam, Brijesh K. Verma, Deepthi Praveenlal Kuttichira, Abdul Sattar:
A Novel Graph-based Framework for Explainable Image Classification: Features That Matter. DICTA 2023: 145-151 - [c113]Basim Azam, Brijesh K. Verma:
A Graph-based Context Learning Technique for Image Parsing. IJCNN 2023: 1-10 - [c112]Deepthi Praveenlal Kuttichira, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang:
Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations. IJCNN 2023: 1-8 - [c111]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: 1-6 - [c110]Ranju Mandal, Brijesh K. Verma:
Parameter Optimisation for Context-Adaptive Deep Layered Network for Semantic Segmentation. SSCI 2023: 258-263 - [c109]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: 959-964 - 2022
- [j70]Asanka G. Perera, Brijesh K. Verma:
Road Severity Distance Calculation Technique Using Deep Learning Predictions in 3-D Space. IEEE Access 10: 68000-68008 (2022) - [j69]Toshi Sinha, Brijesh K. Verma:
Fast Convolutional Neural Network with iterative and non-iterative learning. Appl. Soft Comput. 125: 109197 (2022) - [j68]Basim Azam, Ranju Mandal, Brijesh K. Verma:
Relationship aware context adaptive deep learning for image parsing. Inf. Sci. 607: 506-518 (2022) - [c108]Ranju Mandal, Brijesh K. Verma, Basim Azam, Henry Selvaraj:
A Novel Optimized Context-Based Deep Architecture for Scene Parsing. ICONIP (6) 2022: 351-364 - [c107]Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang:
A Novel Explainable Deep Learning Model with Class Specific Features. IVCNZ 2022: 62-74 - [c106]Toshi Sinha, Brijesh K. Verma:
Convolutional Ensemble Network for Image Classification. SSCI 2022: 285-292 - [c105]Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang:
Genetic Algorithms for Optimising Context-based Neural Networks for Image Segmentation. SSCI 2022: 642-648 - [i6]Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang:
Deep Learning Model with GA based Feature Selection and Context Integration. CoRR abs/2204.06189 (2022) - [i5]Ranju Mandal, Basim Azam, Brijesh K. Verma:
Context-based Deep Learning Architecture with Optimal Integration Layer for Image Parsing. CoRR abs/2204.06214 (2022) - 2021
- [j67]Pubudu Sanjeewani, Brijesh K. Verma:
Optimization of Fully Convolutional Network for Road Safety Attribute Detection. IEEE Access 9: 120525-120536 (2021) - [j66]Mitchell D. Woodbright, Brijesh K. Verma, Ali Haidar:
Autonomous deep feature extraction based method for epileptic EEG brain seizure classification. Neurocomputing 444: 30-37 (2021) - [j65]Pubudu Sanjeewani, Brijesh K. Verma:
Single class detection-based deep learning approach for identification of road safety attributes. Neural Comput. Appl. 33(15): 9691-9702 (2021) - [j64]Zohaib M. Jan, Brijesh K. Verma:
Multicluster Class-Balanced Ensemble. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1014-1025 (2021) - [c104]Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang:
Deep Learning Model with GA-based Visual Feature Selection and Context Integration. CEC 2021: 288-295 - [c103]Pubudu Sanjeewani, Brijesh K. Verma, Joseph Affum:
A Novel Evolving Classifier with a False Alarm Class for Speed Limit Sign Recognition. CEC 2021: 2211-2217 - [c102]Basim Azam, Ranju Mandal, Brijesh K. Verma:
Fully Convolutional Neural Network with Relation Aware Context Information for Image Parsing. DICTA 2021: 1-6 - [c101]Ranju Mandal, Basim Azam, Brijesh K. Verma:
Context-Based Deep Learning Architecture with Optimal Integration Layer for Image Parsing. ICONIP (2) 2021: 285-296 - [c100]Basim Azam, Ranju Mandal, Brijesh K. Verma:
Relationship Aware Context Adaptive Feature Selection Framework for Image Parsing. IJCNN 2021: 1-7 - [c99]Toshi Sinha, Brijesh K. Verma:
Auto-Associative Features with Non-Iterative Learning Based Technique for Image Classification. IJCNN 2021: 1-6 - [c98]Pubudu Sanjeewani, Brijesh K. Verma, Joseph Affum:
Multi-stage Deep Learning Technique for Improving Traffic Sign Recognition. IVCNZ 2021: 1-6 - [c97]Pubudu Sanjeewani, Brijesh K. Verma, Joseph Affum:
Multi-stage Deep Learning Technique with a Cascaded Classifier for Turn Lanes Recognition. SSCI 2021: 1-8 - 2020
- [j63]Sam Fletcher, Brijesh K. Verma, Mengjie Zhang:
A non-specialized ensemble classifier using multi-objective optimization. Neurocomputing 409: 93-102 (2020) - [j62]Zohaib M. Jan, Brijesh K. Verma:
Multiple strong and balanced cluster-based ensemble of deep learners. Pattern Recognit. 107: 107420 (2020) - [j61]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): 67:1-67:17 (2020) - [j60]Zohaib Md. Jan, Brijesh K. Verma:
Evolutionary Classifier and Cluster Selection Approach for Ensemble Classification. ACM Trans. Knowl. Discov. Data 14(1): 7:1-7:18 (2020) - [c96]Toshi Sinha, Brijesh K. Verma:
Convolutional Neural Network Architecture with Exact Solution. ICONIP (5) 2020: 554-562 - [c95]Zohaib M. Jan, Brijesh K. Verma:
Optimal Clusters Generation for Maximizing Ensemble Classifier Performance. IJCNN 2020: 1-7 - [c94]Toshi Sinha, Brijesh K. Verma:
A Non-iterative Radial Basis Function Based Quick Convolutional Neural Network. IJCNN 2020: 1-6 - [c93]Mingyang Zhong, Brijesh K. Verma, Joseph Affum:
Multi-Receptive Atrous Convolutional Network for Semantic Segmentation. IJCNN 2020: 1-8 - [c92]Basim Azam, Ranju Mandal, Ligang Zhang, Brijesh K. Verma:
Class Probability-based Visual and Contextual Feature Integration for Image Parsing. IVCNZ 2020: 1-6 - [c91]Pubudu Sanjeewani, Brijesh K. Verma:
An optimisation Technique for the Detection of Safety Attributes Using Roadside Video Data. IVCNZ 2020: 1-6 - [c90]Toshi Sinha, Brijesh K. Verma:
A Novel Method Based on Convolutional Features with Non-Iterative Learning for Brain Tumor Classification. SSCI 2020: 2799-2805
2010 – 2019
- 2019
- [j59]Zohaib M. Jan, Brijesh K. Verma:
A Novel Diversity Measure and Classifier Selection Approach for Generating Ensemble Classifiers. IEEE Access 7: 156360-156373 (2019) - [j58]Ali Haidar, Brijesh K. Verma, Rim Haidar:
A Swarm based Optimization of the XGBoost Parameters. Aust. J. Intell. Inf. Process. Syst. 16(4): 74-81 (2019) - [j57]Ligang Zhang, Brijesh K. Verma:
Roadside vegetation segmentation with Adaptive Texton Clustering Model. Eng. Appl. Artif. Intell. 77: 159-176 (2019) - [j56]Sam Fletcher, Brijesh K. Verma:
Pruning High-Similarity Clusters to Optimize Data Diversity when Building Ensemble Classifiers. Int. J. Comput. Intell. Appl. 18(4): 1950027:1-1950027:20 (2019) - [j55]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): 187-203 (2019) - [c89]Ali Haidar, Zohaib Md. Jan, Brijesh K. Verma:
Evolving One-Dimensional Deep Convolutional Neural Network: A Swarm based Approach. CEC 2019: 1299-1305 - [c88]Zohaib Md. Jan, Brijesh K. Verma:
Ensemble Classifier Optimization by Reducing Input Features and Base Classifiers. CEC 2019: 1580-1587 - [c87]Mingyang Zhong, Brijesh K. Verma, Joseph Affum:
Deep 3D Segmentation and Classification of Point Clouds for Identifying AusRAP Attributes. ICONIP (2) 2019: 95-105 - [c86]Zohaib M. Jan, Brijesh K. Verma:
Ensemble Classifier Generation Using Class-Pure Cluster Balancing. ICONIP (5) 2019: 761-769 - [c85]Thihagoda Gamage Pubudu Sanjeewani, Brijesh K. Verma:
Learning and Analysis of AusRAP Attributes from Digital Video Recording for Road Safety. IVCNZ 2019: 1-6 - [c84]Mingyang Zhong, Brijesh K. Verma, Joseph Affirm:
Point Cloud Classification for Detecting Roadside Safety Attributes and Distances. SSCI 2019: 1078-1084 - [c83]Zohaib Md. Jan, Brijesh K. Verma:
Balanced Image Data Based Ensemble of Convolutional Neural Networks. SSCI 2019: 2418-2424 - [c82]Jeffrey Lee, Zohaib Md. Jan, Brijesh K. Verma:
A Novel Neural Network Based Method for Analysis of Pavement Deflection Data. SSCI 2019: 2506-2513 - 2018
- [j54]Ali Haidar, Brijesh K. Verma:
Monthly Rainfall Forecasting Using One-Dimensional Deep Convolutional Neural Network. IEEE Access 6: 69053-69063 (2018) - [j53]Ligang Zhang, Brijesh K. Verma, Dian Tjondronegoro, Vinod Chandran:
Facial Expression Analysis under Partial Occlusion: A Survey. ACM Comput. Surv. 51(2): 25:1-25:49 (2018) - [j52]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: 213-227 (2018) - [j51]Zhenglin Wang, Anand Koirala, Kerry B. Walsh, Nicholas Anderson, Brijesh K. Verma:
In Field Fruit Sizing Using A Smart Phone Application. Sensors 18(10): 3331 (2018) - [j50]Ali Haidar, Brijesh K. Verma:
A novel approach for optimizing climate features and network parameters in rainfall forecasting. Soft Comput. 22(24): 8119-8130 (2018) - [j49]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): 762-777 (2018) - [c81]Ali Haidar, Brijesh K. Verma, Toshi Sinha:
A Novel Approach for Optimizing Ensemble Components in Rainfall Prediction. CEC 2018: 1-8 - [c80]Toshi Sinha, Ali Haidar, Brijesh K. Verma:
Particle Swarm Optimization Based Approach for Finding Optimal Values of Convolutional Neural Network Parameters. CEC 2018: 1-6 - [c79]Zohaib M. Jan, Brijesh K. Verma, Sam Fletcher:
Optimizing clustering to promote data diversity when generating an ensemble classifier. GECCO (Companion) 2018: 1402-1409 - [c78]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: 1-8 - [c77]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: 1-6 - [i4]Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury:
Density Weighted Connectivity of Grass Pixels in Image Frames for Biomass Estimation. CoRR abs/1802.07512 (2018) - [i3]Ligang Zhang, Brijesh K. Verma:
Superpixel based Class-Semantic Texton Occurrences for Natural Roadside Vegetation Segmentation. CoRR abs/1802.08781 (2018) - [i2]Ligang Zhang, Brijesh K. Verma, Dian Tjondronegoro, Vinod Chandran:
Facial Expression Analysis under Partial Occlusion: A Survey. CoRR abs/1802.08784 (2018) - [i1]Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury:
Spatially Constrained Location Prior for Scene Parsing. CoRR abs/1802.08790 (2018) - 2017
- [b1]Brijesh K. Verma, Ligang Zhang, David R. B. Stockwell:
Roadside Video Data Analysis: Deep Learning - Deep Learning. Studies in Computational Intelligence 711, Springer 2017, ISBN 978-981-10-4538-7, pp. 1-189 - [j48]Ligang Zhang, Brijesh K. Verma:
Superpixel-based class-semantic texton occurrences for natural roadside vegetation segmentation. Mach. Vis. Appl. 28(3-4): 293-311 (2017) - [j47]Zhenglin Wang, Kerry B. Walsh, Brijesh K. Verma:
On-Tree Mango Fruit Size Estimation Using RGB-D Images. Sensors 17(12): 2738 (2017) - [c76]Ali Haidar, Brijesh K. Verma:
Monthly Rainfall Categorization Based on Optimized Features and Neural Network. Australasian Conference on Artificial Intelligence 2017: 208-220 - [c75]Ali Haidar, Brijesh K. Verma:
A hybrid genetic algorithm for climate input features and neural network parameters selection. GECCO (Companion) 2017: 281-282 - [c74]Ali Haidar, Brijesh K. Verma:
Learning based fusion in ensembles for weather forecasting. ICNC-FSKD 2017: 72-78 - [c73]Sam Fletcher, Brijesh K. Verma:
Removing Bias from Diverse Data Clusters for Ensemble Classification. ICONIP (4) 2017: 140-149 - [c72]Md. Asafuddoula, Brijesh K. Verma, Mengjie Zhang:
An incremental ensemble classifier learning by means of a rule-based accuracy and diversity comparison. IJCNN 2017: 1924-1931 - [c71]Toshi Sinha, Brijesh K. Verma, Ali Haidar:
Optimization of convolutional neural network parameters for image classification. SSCI 2017: 1-7 - 2016
- [j46]Michael M. Li, Brijesh K. Verma:
Nonlinear curve fitting to stopping power data using RBF neural networks. Expert Syst. Appl. 45: 161-171 (2016) - [j45]Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell:
Spatial contextual superpixel model for natural roadside vegetation classification. Pattern Recognit. 60: 444-457 (2016) - [j44]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): 1-7 (2016) - [c70]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: 1-6 - [c69]Fatma Shaheen, Brijesh K. Verma, Md. Asafuddoula:
Impact of Automatic Feature Extraction in Deep Learning Architecture. DICTA 2016: 1-8 - [c68]Ligang Zhang, Brijesh K. Verma:
Rule-Based Grass Biomass Classification for Roadside Fire Risk Assessment. ICONIP (4) 2016: 636-644 - [c67]Sujan Chowdhury, Brijesh K. Verma, Ligang Zhang:
Position Gradient and Plane Consistency Based Feature Extraction. ICONIP (2) 2016: 673-681 - [c66]Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell, Sujan Chowdhury:
Spatially Constrained Location Prior for scene parsing. IJCNN 2016: 1480-1486 - [c65]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: 3249-3255 - [c64]Zhenglin Wang, Brijesh K. Verma, Kerry B. Walsh, Phul Subedi, Anand Koirala:
Automated mango flowering assessment via refinement segmentation. IVCNZ 2016: 1-6 - [c63]Ali Haidar, Brijesh K. Verma:
A genetic algorithm based feature selection approach for rainfall forecasting in sugarcane areas. SSCI 2016: 1-8 - [c62]Fatma Shaheen, Brijesh K. Verma:
An ensemble of deep learning architectures for automatic feature extraction. SSCI 2016: 1-5 - 2015
- [j43]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): 5047-5055 (2015) - [c61]Harith Al-Sahaf, Mengjie Zhang, Mark Johnston, Brijesh K. Verma:
Image descriptor: A genetic programming approach to multiclass texture classification. CEC 2015: 2460-2467 - [c60]Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, Brijesh K. Verma:
Genetic Programming for algae detection in river images. CEC 2015: 2468-2475 - [c59]Ligang Zhang, Brijesh K. Verma:
Class-Semantic Textons with Superpixel Neighborhoods for Natural Roadside Vegetation Classification. DICTA 2015: 1-8 - [c58]Tejy Kinattukara, Brijesh K. Verma:
Wavelet based fuzzy clustering technique for the extraction of road objects. FUZZ-IEEE 2015: 1-7 - [c57]Paul Moore, Brijesh K. Verma, Michael M. Li:
A neural network based method to determine initial object positions for segmentation. ICNC 2015: 620-626 - [c56]Peter McLeod, Brijesh K. Verma:
Polynomial prediction of neurons in neural network classifier for breast cancer diagnosis. ICNC 2015: 775-780 - [c55]Ligang Zhang, Brijesh K. Verma, David R. B. Stockwell:
Roadside vegetation classification using color intensity and moments. ICNC 2015: 1246-1251 - [c54]Ligang Zhang, Brijesh K. Verma, David R. Stockwell:
Class-Semantic Color-Texture Textons for Vegetation Classification. ICONIP (1) 2015: 354-362 - [c53]Sujan Chowdhury, Brijesh K. Verma, Mary Tom, Mengjie Zhang:
Pixel characteristics based feature extraction approach for roadside object detection. IJCNN 2015: 1-8 - [c52]David R. B. Stockwell, Ligang Zhang, Brijesh K. Verma:
Segmentation of Geophysical Data: A Big Data Friendly Approach. INNS Conference on Big Data 2015: 39-47 - [c51]Michael M. Li, Brijesh K. Verma:
An Improved RBF Neural Network Approach to Nonlinear Curve Fitting. IWANN (2) 2015: 262-275 - 2014
- [j42]Sujan Chowdhury, Brijesh K. Verma, David R. Stockwell:
A Novel Hybrid Learning Technique for Roadside Vegetation Classification. Aust. J. Intell. Inf. Process. Syst. 14(1) (2014) - [c50]Tejy Kinattukara, Brijesh K. Verma:
A Neural Ensemble Approach for Segmentation and Classification of Road Images. ICONIP (3) 2014: 183-193 - [c49]Peter McLeod, Brijesh K. Verma, Mengjie Zhang:
Optimizing configuration of neural ensemble network for breast cancer diagnosis. IJCNN 2014: 1087-1092 - [c48]Sujan Chowdhury, Brijesh K. Verma, David R. Stockwell:
Analysis of Hybrid Classification Approach to Differentiate Dense and Non-dense Grass Regions. SEAL 2014: 835-846 - 2013
- [j41]Peter McLeod, Brijesh K. Verma:
Variable Hidden Neuron Ensemble for Mass Classification in Digital Mammograms [Application Notes]. IEEE Comput. Intell. Mag. 8(1): 68-76 (2013) - [j40]Ashfaqur Rahman, Brijesh K. Verma:
Cluster-based ensemble of classifiers. Expert Syst. J. Knowl. Eng. 30(3): 270-282 (2013) - [j39]Chien-Yuan Chiu, Brijesh K. Verma:
Relationship between Data Size, accuracy, Diversity and Clusters in Neural Network Ensembles. Int. J. Comput. Intell. Appl. 12(4) (2013) - [j38]Ashfaqur Rahman, Brijesh K. Verma:
Cluster Based Ensemble Classifier Generation by Joint Optimization of accuracy and Diversity. Int. J. Comput. Intell. Appl. 12(4) (2013) - [j37]Ashfaqur Rahman, Brijesh K. Verma:
Effect of ensemble classifier composition on offline cursive character recognition. Inf. Process. Manag. 49(4): 852-864 (2013) - [j36]Ashfaqur Rahman, Brijesh K. Verma:
Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm. Knowl. Based Syst. 43: 30-42 (2013) - [c47]Tejy Kinattukara, Brijesh K. Verma:
Hierarchical Segment Learning Method for Road Objects Extraction and Classification. CSE 2013: 432-438 - [c46]Chien-Yuan Chiu, Brijesh K. Verma:
Effect of Varying Hidden Neurons and Data Size on Clusters, Layers, Diversity and Accuracy in Neural Ensemble Classifier. CSE 2013: 455-459 - [c45]Peter McLeod, Brijesh K. Verma:
Effects of Large Constituent Size in Variable Neural Ensemble Classifier for Breast Mass Classification. ICONIP (3) 2013: 525-532 - [c44]