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ORCIDBrijesh 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]Chien-Yuan Chiu, Brijesh K. Verma, Michael M. Li:
Impact of variability in data on accuracy and diversity of neural network based ensemble classifiers. IJCNN 2013: 1-5 - [c43]Ashfaqur Rahman, Brijesh K. Verma:
Cluster oriented ensemble classifiers using multi-objective evolutionary algorithm. IJCNN 2013: 1-6 - [c42]Tejy Kinattukara, Brijesh K. Verma:
Clustering based neural network approach for classification of road images. SoCPaR 2013: 172-177 - 2012
- [j35]Juliusz Zajaczkowski, Brijesh K. Verma:
Selection and impact of different topologies in multi-layered hierarchical fuzzy systems. Appl. Intell. 36(3): 564-584 (2012) - [j34]Hong Lee, Brijesh K. Verma:
Binary segmentation algorithm for English cursive handwriting recognition. Pattern Recognit. 45(4): 1306-1317 (2012) - [j33]Brijesh K. Verma, Ashfaqur Rahman:
Cluster-Oriented Ensemble Classifier: Impact of Multicluster Characterization on Ensemble Classifier Learning. IEEE Trans. Knowl. Data Eng. 24(4): 605-618 (2012) - [c41]Peter McLeod, Brijesh K. Verma:
A Multilayered Ensemble Architecture for the Classification of Masses in Digital Mammograms. Australasian Conference on Artificial Intelligence 2012: 85-94 - [c40]Michael M. Li, William W. Guo, Brijesh K. Verma, Hong Lee:
A neural networks-based fitting to high energy stopping power data for heavy ions in solid matter. IJCNN 2012: 1-6 - [c39]Peter McLeod, Brijesh K. Verma:
Clustered ensemble neural network for breast mass classification in digital mammography. IJCNN 2012: 1-6 - [c38]Ashfaqur Rahman, Brijesh K. Verma:
Influence of unstable patterns in layered cluster oriented ensemble classifier. IJCNN 2012: 1-8 - [c37]Ashfaqur Rahman, Brijesh K. Verma, David R. Stockwell:
An hierarchical approach towards road image segmentation. IJCNN 2012: 1-8 - 2011
- [j32]Brijesh K. Verma, Syed Zahid Hassan:
Hybrid ensemble approach for classification. Appl. Intell. 34(2): 258-278 (2011) - [j31]Brijesh K. Verma, Hong Lee:
Segment confidence-based binary segmentation (SCBS) for cursive handwritten words. Expert Syst. Appl. 38(9): 11167-11175 (2011) - [j30]Peter McLeod, Brijesh K. Verma:
Multi-Cluster Support Vector Machine Classifier for the Classification of Suspicious Areas in Digital Mammograms. Int. J. Comput. Intell. Appl. 10(4): 481-494 (2011) - [j29]Ashfaqur Rahman, Brijesh K. Verma:
Novel Layered Clustering-Based Approach for Generating Ensemble of Classifiers. IEEE Trans. Neural Networks 22(5): 781-792 (2011) - [c36]Chien-Yuan Chiu, Brijesh K. Verma:
An Evolutionary Algorithm Based Optimization of Neural Ensemble Classifiers. ICONIP (3) 2011: 292-298 - [c35]Brijesh K. Verma, David R. Stockwell:
An Automated System for the Analysis of the Status of Road Safety Using Neural Networks. ICONIP (3) 2011: 530-537 - [c34]Ashfaqur Rahman, Brijesh K. Verma:
Ensemble classifier composition: Impact on feature based offline cursive character recognition. IJCNN 2011: 801-807 - 2010
- [j28]Hong Lee, Brijesh K. Verma, MinYeop Park:
A Novel Approach Based on Fusion of Three Neural Experts for Handwriting Recognition. Aust. J. Intell. Inf. Process. Syst. 12(3) (2010) - [j27]Brijesh K. Verma, Peter McLeod, Alan Klevansky:
Classification of benign and malignant patterns in digital mammograms for the diagnosis of breast cancer. Expert Syst. Appl. 37(4): 3344-3351 (2010) - [c33]Juliusz Zajaczkowski, Brijesh K. Verma:
An evolutionary algorithm based approach for selection of topologies in hierarchical fuzzy systems. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c32]Juliusz Zajaczkowski, Brijesh K. Verma:
MOEA based hierarchical fuzzy control over the set of user-defined initial conditions. FUZZ-IEEE 2010: 1-8 - [c31]Ashfaqur Rahman, Brijesh K. Verma, Xin Yao:
Non-uniform Layered Clustering for Ensemble Classifier Generation and Optimality. ICONIP (1) 2010: 551-558 - [c30]Hong Lee, Brijesh K. Verma:
Over-segmentation and Neural Binary Validation for cursive handwriting recognition. IJCNN 2010: 1-5 - [c29]Peter McLeod, Brijesh K. Verma:
A classifier with clustered sub classes for the classification of suspicious areas in digital mammograms. IJCNN 2010: 1-8 - [c28]Ashfaqur Rahman, Brijesh K. Verma:
A novel ensemble classifier approach using weak classifier learning on overlapping clusters. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [j26]Xiaolong Fan, Brijesh K. Verma:
Selection and fusion of facial features for face recognition. Expert Syst. Appl. 36(3): 7157-7169 (2009) - [j25]Juliusz Zajaczkowski, Brijesh K. Verma:
A Compositional Method Using an Evolutionary Algorithm for Finding Fuzzy Rules in 3-Layered Hierarchical Fuzzy Structure. Int. J. Comput. Intell. Appl. 8(4): 467-485 (2009) - [j24]Michael M. Li, William W. Guo, Brijesh K. Verma, Kevin Tickle, John O'Connor:
Intelligent methods for solving inverse problems of backscattering spectra with noise: a comparison between neural networks and simulated annealing. Neural Comput. Appl. 18(5): 423-430 (2009) - [j23]Brijesh K. Verma, Peter McLeod, Alan Klevansky:
A novel soft cluster neural network for the classification of suspicious areas in digital mammograms. Pattern Recognit. 42(9): 1845-1852 (2009) - [c27]Hong Lee, Brijesh K. Verma:
Binary Segmentation with Neural Validation for Cursive Handwriting Recognition. IJCNN 2009: 1730-1735 - [c26]Brijesh K. Verma:
Impact of multiple clusters on neural classification of ROIs in digital mammograms. IJCNN 2009: 3220-3223 - 2008
- [j22]Brijesh K. Verma:
Novel network architecture and learning algorithm for the classification of mass abnormalities in digitized mammograms. Artif. Intell. Medicine 42(1): 67-79 (2008) - [j21]Michael M. Li, Brijesh K. Verma, Xiaolong Fan, Kevin Tickle:
RBF neural networks for solving the inverse problem of backscattering spectra. Neural Comput. Appl. 17(4): 391-397 (2008) - [c25]Brijesh K. Verma, Hong Lee, John Zakos:
An Automatic Intelligent Language Classifier. ICONIP (2) 2008: 639-646 - [c24]Hong Lee, Brijesh K. Verma:
A novel multiple experts and fusion based segmentation algorithm for cursive handwriting recognition. IJCNN 2008: 2994-2999 - [c23]Juliusz Zajaczkowski, Brijesh K. Verma:
Hierarchical Fuzzy Control for the Inverted Pendulum over the Set of Initial Conditions. SEAL 2008: 534-543 - 2007
- [j20]Brijesh K. Verma, Ping Zhang:
A novel neural-genetic algorithm to find the most significant combination of features in digital mammograms. Appl. Soft Comput. 7(2): 612-625 (2007) - [j19]Michael Blumenstein, Xin Yu Liu, Brijesh K. Verma:
An investigation of the modified direction feature for cursive character recognition. Pattern Recognit. 40(2): 376-388 (2007) - [c22]Brijesh K. Verma, Hong Lee:
A Segmentatilon based Adaptive Approach for Curs'ive Handwriltten Text Recognition. IJCNN 2007: 2212-2216 - [c21]Syed Zahid Hassan, Brijesh K. Verma:
A Hybrid Data Mining Approach for Knowledge Extraction and Classification in Medical Databases. ISDA 2007: 503-510 - 2006
- [j18]Rinku Panchal, Brijesh K. Verma:
Neural Classification of Mass Abnormalities with Different Types of Features in Digital Mammography. Int. J. Comput. Intell. Appl. 6(1): 61-75 (2006) - [j17]John Zakos, Brijesh K. Verma:
Concept-Based Term Weighting for Web Information Retrieval. Int. J. Comput. Intell. Appl. 6(2): 193-207 (2006) - [j16]Rinku Panchal, Brijesh K. Verma:
Neural-association of Microcalcification Patterns for their Reliable Classification in Digital Mammography. Int. J. Pattern Recognit. Artif. Intell. 20(7): 971-984 (2006) - [j15]John Zakos, Brijesh K. Verma:
A Novel Context-based Technique for Web Information Retrieval. World Wide Web 9(4): 485-503 (2006) - [c20]Rinku Panchal, Brijesh K. Verma:
Characterization of Breast Abnormality Patterns in Digital Mammograms Using Auto-associator Neural Network. ICONIP (3) 2006: 127-136 - [c19]Justin Bray, Brijesh K. Verma, Xue Li, Wade He:
A Neural Network based Technique for Automatic Classification of Road Cracks. IJCNN 2006: 907-912 - [c18]Brijesh K. Verma:
A Neural Learning Algorithm for the Diagnosis of Breast Cancer. IJCNN 2006: 5330-5335 - 2005
- [j14]Ping Zhang, Brijesh K. Verma, Kuldeep Kumar:
Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection. Pattern Recognit. Lett. 26(7): 909-919 (2005) - [c17]Ping Zhang, Kuldeep Kumar, Brijesh K. Verma:
A Hybrid Classifier for Mass Classification with Different Kinds of Features in Mammography. FSKD (2) 2005: 316-319 - [c16]Michael M. Li, Xiaolong Fan, Brijesh K. Verma, Ron Balsys, John O'Connor:
Artificial neural network techniques for analysis of ion backscattering spectra. IC-AI 2005: 175-182 - [c15]John Zakos, Brijesh K. Verma:
A Novel Context Matching Based Technique for Web Document Retrieval. ICDAR 2005: 909-914 - 2004
- [j13]Brijesh K. Verma, Siddhivinayak Kulkarni:
A fuzzy-neural approach for interpretation and fusion of colour and texture features for CBIR systems. Appl. Soft Comput. 5(1): 119-130 (2004) - [j12]Brijesh K. Verma, Siddhivinayak Kulkarni:
Fuzzy logic based interpretation and fusion of color queries. Fuzzy Sets Syst. 147(1): 99-118 (2004) - [j11]Moumita Ghosh, Ranadhir Ghosh, Brijesh K. Verma:
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. 18(7): 1267-1283 (2004) - [j10]Brijesh K. Verma, Michael Blumenstein, Moumita Ghosh:
A novel approach for structural feature extraction: Contour vs. direction. Pattern Recognit. Lett. 25(9): 975-988 (2004) - [c14]Rinku Panchal, Brijesh K. Verma:
A Fusion of Neural Network Based Auto-associator and Classifier for the Classification of Microcalcification Patterns. ICONIP 2004: 794-799 - 2003
- [j9]Ranadhir Ghosh, Brijesh K. Verma:
A Hierarchical Method for Finding Optimal Architecture and Weights Using Evolutionary Least Square Based Learning. Int. J. Neural Syst. 13(1): 13-24 (2003) - [c13]Ping Zhang, Brijesh K. Verma, Kuldeep Kumar:
Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammography. IEEE Congress on Evolutionary Computation 2003: 1206-1213 - [c12]Michael Blumenstein, Brijesh K. Verma, H. Basli:
A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters. ICDAR 2003: 137-141 - [c11]Brijesh K. Verma, Moumita Ghosh:
A Neural-Evolutionary Approach for Feature and Architecture Selection in Online Handwriting Recognition. ICDAR 2003: 1038-1042 - [c10]Brijesh K. Verma:
A Contour Code Feature Based Segmentation For Handwriting Recognition. ICDAR 2003: 1203-1207 - 2002
- [j8]Siddhivinayak Kulkarni, Brijesh K. Verma:
An Intelligent Hybrid Approach for Content-Based Image Retrieval. Int. J. Comput. Intell. Appl. 2(2): 173-184 (2002) - [j7]Xiaolong Fan, Brijesh K. Verma:
Segmentation Versus Non-Segmentation Based Neural Techniques for Cursive Word Recognition: An Experimental Analysis. Int. J. Comput. Intell. Appl. 2(4): 377-384 (2002) - [c9]Brijesh K. Verma, Ranadhir Ghosh:
A novel evolutionary neural learning algorithm. IEEE Congress on Evolutionary Computation 2002: 1884-1889 - 2001
- [j6]Brijesh K. Verma, Paul D. Gader, Wen-Tsong Chen:
Fusion of multiple handwritten word recognition techniques. Pattern Recognit. Lett. 22(9): 991-998 (2001) - [j5]Brijesh K. Verma, John Zakos:
A computer-aided diagnosis system for digital mammograms based on fuzzy-neural and feature extraction techniques. IEEE Trans. Inf. Technol. Biomed. 5(1): 46-54 (2001) - [c8]Brijesh K. Verma, Siddhivinayak Kulkarni:
Texture Feature Extraction and Classification. CAIP 2001: 228-235 - [c7]Michael Blumenstein, Brijesh K. Verma:
Analysis of Segmentation Performance on the CEDAR Benchmark Database. ICDAR 2001: 1142-1146 - 2000
- [j4]Brijesh K. Verma, Chris Lane:
Vertical jump height prediction using EMG characteristics and neural networks. Cogn. Syst. Res. 1(3): 135-141 (2000)
1990 – 1999
- 1999
- [j3]Brijesh K. Verma:
Comparative Evaluation of Two Neural Network Based Techniques for Classification of Microcalcifications in Digital Mammograms. Knowl. Inf. Syst. 1(1): 107-117 (1999) - [c6]Michael Blumenstein, Brijesh K. Verma:
Neural-based Solutions for the Segmentation and Recognition of Difficult Handwritten Words from a Benchmark Database. ICDAR 1999: 281-284 - [c5]Michael Blumenstein, Brijesh K. Verma:
A new segmentation algorithm for handwritten word recognition. IJCNN 1999: 2893-2898 - [c4]S. Kulkami, Brijesh K. Verma, P. Sharma, Henry Selvaraj:
Content based image retrieval using a neuro-fuzzy technique. IJCNN 1999: 4304-4308 - 1997
- [j2]Brijesh K. Verma:
Recognition of Rotating Images Using an Automatic Feature Extraction Technique and Neural Networks. Int. J. Neural Syst. 8(2): 201-207 (1997) - [j1]Brijesh K. Verma:
Fast training of multilayer perceptrons. IEEE Trans. Neural Networks 8(6): 1314-1320 (1997) - 1995
- [c3]Brijesh K. Verma, Jan J. Mulawka:
A new training algorithm for feedforward neural networks. ESANN 1995 - [c2]Brijesh K. Verma:
Handwritten Hindi character recognition using multilayer perceptron and radial basis function neural networks. ICNN 1995: 2111-2115 - 1994
- [c1]Brijesh K. Verma, Praveen Sharma, Jan J. Mulawka:
Training of the Multilayer Perceptrons using Direct Solution Methods. Applied Informatics 1994: 22-25
Coauthor Index
Zohaib M. Jan
aka: Zohaib Md. Jan
aka: Zohaib Md. Jan
Thihagoda Gamage Pubudu Sanjeewani
aka: Pubudu Sanjeewani
aka: Pubudu Sanjeewani
David R. B. Stockwell
aka: David R. Stockwell
aka: David R. Stockwell
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