- CSB - MetaPress - Google - Bing - Yahoo
 | 2013 | |
|---|---|---|
| j37 |      | Peter McLeod, Brijesh Verma: Variable Hidden Neuron Ensemble for Mass Classification in Digital Mammograms [Application Notes]. IEEE Comp. Int. Mag. 8(1): 68-76 (2013) |
| j36 | | Ashfaqur Rahman, Brijesh Verma: Effect of ensemble classifier composition on offline cursive character recognition. Inf. Process. Manage. 49(4): 852-864 (2013) |
| j35 | | Ashfaqur Rahman, Brijesh Verma: Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm. Knowl.-Based Syst. 43: 30-42 (2013) |
| 2012 | ||
| j34 | | Juliusz Zajaczkowski, Brijesh Verma: Selection and impact of different topologies in multi-layered hierarchical fuzzy systems. Appl. Intell. 36(3): 564-584 (2012) |
| j33 | | Hong Lee, Brijesh Verma: Binary segmentation algorithm for English cursive handwriting recognition. Pattern Recognition 45(4): 1306-1317 (2012) |
| j32 | | Brijesh 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) |
| c36 | | Peter McLeod, Brijesh Verma: A Multilayered Ensemble Architecture for the Classification of Masses in Digital Mammograms. Australasian Conference on Artificial Intelligence 2012: 85-94 |
| c35 | | Michael M. Li, William W. Guo, Brijesh Verma, Hong Lee: A neural networks-based fitting to high energy stopping power data for heavy ions in solid matter. IJCNN 2012: 1-6 |
| c34 | | Peter McLeod, Brijesh Verma: Clustered ensemble neural network for breast mass classification in digital mammography. IJCNN 2012: 1-6 |
| c33 | | Ashfaqur Rahman, Brijesh Verma: Influence of unstable patterns in layered cluster oriented ensemble classifier. IJCNN 2012: 1-8 |
| c32 | | Ashfaqur Rahman, Brijesh Verma, David Stockwell: An hierarchical approach towards road image segmentation. IJCNN 2012: 1-8 |
| 2011 | ||
| j31 | | Brijesh Verma, Syed Zahid Hassan: Hybrid ensemble approach for classification. Appl. Intell. 34(2): 258-278 (2011) |
| j30 | | Brijesh Verma, Hong Lee: Segment confidence-based binary segmentation (SCBS) for cursive handwritten words. Expert Syst. Appl. 38(9): 11167-11175 (2011) |
| j29 | | Peter M. C. Leod, Brijesh Verma: Multi-Cluster Support Vector Machine Classifier for the Classification of Suspicious Areas in Digital Mammograms. International Journal of Computational Intelligence and Applications 10(4): 481-494 (2011) |
| j28 | | Ashfaqur Rahman, Brijesh Verma: Novel Layered Clustering-Based Approach for Generating Ensemble of Classifiers. IEEE Transactions on Neural Networks 22(5): 781-792 (2011) |
| c31 | | Chien-Yuan Chiu, Brijesh Verma: An Evolutionary Algorithm Based Optimization of Neural Ensemble Classifiers. ICONIP (3) 2011: 292-298 |
| c30 | | Brijesh Verma, David Stockwell: An Automated System for the Analysis of the Status of Road Safety Using Neural Networks. ICONIP (3) 2011: 530-537 |
| c29 | | Ashfaqur Rahman, Brijesh Verma: Ensemble classifier composition: Impact on feature based offline cursive character recognition. IJCNN 2011: 801-807 |
| 2010 | ||
| j27 | | Brijesh 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) |
| c28 | | Juliusz Zajaczkowski, Brijesh Verma: An evolutionary algorithm based approach for selection of topologies in hierarchical fuzzy systems. IEEE Congress on Evolutionary Computation 2010: 1-8 |
| c27 | | Juliusz Zajaczkowski, Brijesh Verma: MOEA based hierarchical fuzzy control over the set of user-defined initial conditions. FUZZ-IEEE 2010: 1-8 |
| c26 | | Ashfaqur Rahman, Brijesh Verma, Xin Yao: Non-uniform Layered Clustering for Ensemble Classifier Generation and Optimality. ICONIP (1) 2010: 551-558 |
| c25 | | Hong Lee, Brijesh Verma: Over-segmentation and Neural Binary Validation for cursive handwriting recognition. IJCNN 2010: 1-5 |
| c24 | | Peter McLeod, Brijesh Verma: A classifier with clustered sub classes for the classification of suspicious areas in digital mammograms. IJCNN 2010: 1-8 |
| c23 | | Ashfaqur Rahman, Brijesh Verma: A novel ensemble classifier approach using weak classifier learning on overlapping clusters. IJCNN 2010: 1-7 |
| 2009 | ||
| j26 | | Xiaolong Fan, Brijesh Verma: Selection and fusion of facial features for face recognition. Expert Syst. Appl. 36(3): 7157-7169 (2009) |
| j25 | | Juliusz Zajaczkowski, Brijesh Verma: A Compositional Method Using an Evolutionary Algorithm for Finding Fuzzy Rules in 3-Layered Hierarchical Fuzzy Structure. International Journal of Computational Intelligence and Applications 8(4): 467-485 (2009) |
| j24 | | Michael M. Li, William W. Guo, Brijesh 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 Computing and Applications 18(5): 423-430 (2009) |
| j23 | | Brijesh Verma, Peter McLeod, Alan Klevansky: A novel soft cluster neural network for the classification of suspicious areas in digital mammograms. Pattern Recognition 42(9): 1845-1852 (2009) |
| c22 | | Hong Lee, Brijesh Verma: Binary Segmentation with Neural Validation for Cursive Handwriting Recognition. IJCNN 2009: 1730-1735 |
| c21 | | Brijesh Verma: Impact of multiple clusters on neural classification of ROIs in digital mammograms. IJCNN 2009: 3220-3223 |
| 2008 | ||
| j22 | | Brijesh Verma: Novel network architecture and learning algorithm for the classification of mass abnormalities in digitized mammograms. Artificial Intelligence in Medicine 42(1): 67-79 (2008) |
| j21 | | Michael M. Li, Brijesh Verma, Xiaolong Fan, Kevin Tickle: RBF neural networks for solving the inverse problem of backscattering spectra. Neural Computing and Applications 17(4): 391-397 (2008) |
| c20 | | Brijesh Verma, Hong Lee, John Zakos: An Automatic Intelligent Language Classifier. ICONIP (2) 2008: 639-646 |
| c19 | | Hong Lee, Brijesh Verma: A novel multiple experts and fusion based segmentation algorithm for cursive handwriting recognition. IJCNN 2008: 2994-2999 |
| c18 | | Juliusz Zajaczkowski, Brijesh Verma: Hierarchical Fuzzy Control for the Inverted Pendulum over the Set of Initial Conditions. SEAL 2008: 534-543 |
| 2007 | ||
| j20 | | Brijesh 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 Verma: An investigation of the modified direction feature for cursive character recognition. Pattern Recognition 40(2): 376-388 (2007) |
| c17 | | Brijesh Verma, Hong Lee: A Segmentatilon based Adaptive Approach for Curs'ive Handwriltten Text Recognition. IJCNN 2007: 2212-2216 |
| c16 | | Syed Zahid Hassan, Brijesh Verma: A Hybrid Data Mining Approach for Knowledge Extraction and Classification in Medical Databases. ISDA 2007: 503-510 |
| 2006 | ||
| j18 | | Rinku Panchal, Brijesh Verma: Neural Classification of Mass Abnormalities with Different Types of Features in Digital Mammography. International Journal of Computational Intelligence and Applications 6(1): 61-75 (2006) |
| j17 | | John Zakos, Brijesh Verma: Concept-Based Term Weighting for Web Information Retrieval. International Journal of Computational Intelligence and Applications 6(2): 193-207 (2006) |
| j16 | | Rinku Panchal, Brijesh Verma: Neural-association of Microcalcification Patterns for their Reliable Classification in Digital Mammography. IJPRAI 20(7): 971-984 (2006) |
| j15 | | John Zakos, Brijesh Verma: A Novel Context-based Technique for Web Information Retrieval. World Wide Web 9(4): 485-503 (2006) |
| c15 | | Rinku Panchal, Brijesh Verma: Characterization of Breast Abnormality Patterns in Digital Mammograms Using Auto-associator Neural Network. ICONIP (3) 2006: 127-136 |
| c14 | | Justin Bray, Brijesh Verma, Xue Li, Wade He: A Neural Network based Technique for Automatic Classification of Road Cracks. IJCNN 2006: 907-912 |
| c13 | | Brijesh Verma: A Neural Learning Algorithm for the Diagnosis of Breast Cancer. IJCNN 2006: 5330-5335 |
| 2005 | ||
| j14 | | Ping Zhang, Brijesh Verma, Kuldeep Kumar: Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection. Pattern Recognition Letters 26(7): 909-919 (2005) |
| c12 | | Ping Zhang, Kuldeep Kumar, Brijesh Verma: A Hybrid Classifier for Mass Classification with Different Kinds of Features in Mammography. FSKD (2) 2005: 316-319 |
| c11 |  | Michael M. Li, Xiaolong Fan, Brijesh Verma, Ron Balsys, John O'Connor: Artificial neural network techniques for analysis of ion backscattering spectra. IC-AI 2005: 175-182 |
| c10 | | John Zakos, Brijesh Verma: A Novel Context Matching Based Technique for Web Document Retrieval. ICDAR 2005: 909-914 |
| 2004 | ||
| j13 | | Brijesh 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 Verma, Siddhivinayak Kulkarni: Fuzzy logic based interpretation and fusion of color queries. Fuzzy Sets and Systems 147(1): 99-118 (2004) |
| j11 | | Moumita Ghosh, Ranadhir Ghosh, Brijesh Verma: A Fully Automated Offline Handwriting Recognition System Incorporating Rule Based Neural Network Validated Segmentation And Hybrid Neural Network Classifier. IJPRAI 18(7): 1267-1283 (2004) |
| j10 | | Brijesh Verma, Michael Blumenstein, Moumita Ghosh: A novel approach for structural feature extraction: Contour vs. direction. Pattern Recognition Letters 25(9): 975-988 (2004) |
| c9 | | Rinku Panchal, Brijesh 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 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) |
| c8 | | Michael Blumenstein, Brijesh Verma, H. Basli: A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters. ICDAR 2003: 137-141 |
| c7 | | Brijesh Verma, Moumita Ghosh: A Neural-Evolutionary Approach for Feature and Architecture Selection in Online Handwriting Recognition. ICDAR 2003: 1038-1042 |
| c6 | | Brijesh Verma: A Contour Code Feature Based Segmentation For Handwriting Recognition. ICDAR 2003: 1203-1207 |
| 2002 | ||
| j8 | | Siddhivinayak Kulkarni, Brijesh Verma: An Intelligent Hybrid Approach for Content-Based Image Retrieval. International Journal of Computational Intelligence and Applications 2(2): 173-184 (2002) |
| j7 | | Xiaolong Fan, Brijesh Verma: Segmentation Versus Non-Segmentation Based Neural Techniques for Cursive Word Recognition: An Experimental Analysis. International Journal of Computational Intelligence and Applications 2(4): 377-384 (2002) |
| 2001 | ||
| j6 | | Brijesh Verma, Paul D. Gader, Wen-Tsong Chen: Fusion of multiple handwritten word recognition techniques. Pattern Recognition Letters 22(9): 991-998 (2001) |
| j5 | | Brijesh Verma, John Zakos: A computer-aided diagnosis system for digital mammograms based on fuzzy-neural and feature extraction techniques. IEEE Transactions on Information Technology in Biomedicine 5(1): 46-54 (2001) |
| c5 | | Brijesh Verma, Siddhivinayak Kulkarni: Texture Feature Extraction and Classification. CAIP 2001: 228-235 |
| c4 | | Michael Blumenstein, Brijesh Verma: Analysis of Segmentation Performance on the CEDAR Benchmark Database. ICDAR 2001: 1142-1146 |
| 2000 | ||
| j4 | | Brijesh Verma, Chris Lane: Vertical jump height prediction using EMG characteristics and neural networks. Cognitive Systems Research 1(3): 135-141 (2000) |
| 1999 | ||
| j3 | | Brijesh Verma: Comparative Evaluation of Two Neural Network Based Techniques for Classification of Microcalcifications in Digital Mammograms. Knowl. Inf. Syst. 1(1): 107-117 (1999) |
| c3 | | Michael Blumenstein, Brijesh Verma: Neural-based Solutions for the Segmentation and Recognition of Difficult Handwritten Words from a Benchmark Database. ICDAR 1999: 281-284 |
| 1997 | ||
| j2 | | Brijesh 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 Verma: Fast training of multilayer perceptrons. IEEE Trans. Neural Netw. Learning Syst. 8(6): 1314-1320 (1997) |
| 1995 | ||
| c2 | | |
| 1994 | ||
| c1 | | Brijesh Verma, Praveen Sharma, Jan J. Mulawka: Training of the Multilayer Perceptrons using Direct Solution Methods. Applied Informatics 1994: 22-25 |
Colors in the list of coauthors
Last update Sun May 19 02:47:45 2013 CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page