2008 |
37 | EE | Hong Lee,
Brijesh Verma:
A novel multiple experts and fusion based segmentation algorithm for cursive handwriting recognition.
IJCNN 2008: 2994-2999 |
36 | EE | Juliusz Zajaczkowski,
Brijesh Verma:
Hierarchical Fuzzy Control for the Inverted Pendulum over the Set of Initial Conditions.
SEAL 2008: 534-543 |
35 | EE | 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) |
34 | EE | 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) |
2007 |
33 | EE | Brijesh Verma,
Hong Lee:
A Segmentatilon based Adaptive Approach for Curs'ive Handwriltten Text Recognition.
IJCNN 2007: 2212-2216 |
32 | EE | 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) |
31 | EE | 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) |
2006 |
30 | EE | Rinku Panchal,
Brijesh Verma:
Characterization of Breast Abnormality Patterns in Digital Mammograms Using Auto-associator Neural Network.
ICONIP (3) 2006: 127-136 |
29 | EE | Brijesh Verma:
A Neural Learning Algorithm for the Diagnosis of Breast Cancer.
IJCNN 2006: 5330-5335 |
28 | EE | Justin Bray,
Brijesh Verma,
Xue Li,
Wade He:
A Neural Network based Technique for Automatic Classification of Road Cracks.
IJCNN 2006: 907-912 |
27 | EE | Rinku Panchal,
Brijesh Verma:
Neural-association of Microcalcification Patterns for their Reliable Classification in Digital Mammography.
IJPRAI 20(7): 971-984 (2006) |
26 | EE | 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) |
25 | EE | John Zakos,
Brijesh Verma:
Concept-Based Term Weighting for Web Information Retrieval.
International Journal of Computational Intelligence and Applications 6(2): 193-207 (2006) |
24 | EE | John Zakos,
Brijesh Verma:
A Novel Context-based Technique for Web Information Retrieval.
World Wide Web 9(4): 485-503 (2006) |
2005 |
23 | EE | Ping Zhang,
Kuldeep Kumar,
Brijesh Verma:
A Hybrid Classifier for Mass Classification with Different Kinds of Features in Mammography.
FSKD (2) 2005: 316-319 |
22 | | 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 |
21 | EE | John Zakos,
Brijesh Verma:
A Novel Context Matching Based Technique for Web Document Retrieval.
ICDAR 2005: 909-914 |
20 | EE | 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) |
2004 |
19 | EE | Rinku Panchal,
Brijesh Verma:
A Fusion of Neural Network Based Auto-associator and Classifier for the Classification of Microcalcification Patterns.
ICONIP 2004: 794-799 |
18 | EE | 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) |
17 | EE | Brijesh Verma,
Siddhivinayak Kulkarni:
Fuzzy logic based interpretation and fusion of color queries.
Fuzzy Sets and Systems 147(1): 99-118 (2004) |
16 | EE | 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) |
15 | EE | Brijesh Verma,
Michael Blumenstein,
Moumita Ghosh:
A novel approach for structural feature extraction: Contour vs. direction.
Pattern Recognition Letters 25(9): 975-988 (2004) |
2003 |
14 | EE | Brijesh Verma,
Moumita Ghosh:
A Neural-Evolutionary Approach for Feature and Architecture Selection in Online Handwriting Recognition.
ICDAR 2003: 1038-1042 |
13 | EE | Brijesh Verma:
A Contour Code Feature Based Segmentation For Handwriting Recognition.
ICDAR 2003: 1203-1207 |
12 | EE | Michael Blumenstein,
Brijesh Verma,
H. Basli:
A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters.
ICDAR 2003: 137-141 |
11 | EE | 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) |
2002 |
10 | EE | 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) |
9 | EE | 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 |
8 | EE | Brijesh Verma,
Siddhivinayak Kulkarni:
Texture Feature Extraction and Classification.
CAIP 2001: 228-235 |
7 | EE | Michael Blumenstein,
Brijesh Verma:
Analysis of Segmentation Performance on the CEDAR Benchmark Database.
ICDAR 2001: 1142-1146 |
6 | | 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) |
5 | | Brijesh Verma,
Paul D. Gader,
Wen-Tsong Chen:
Fusion of multiple handwritten word recognition techniques.
Pattern Recognition Letters 22(9): 991-998 (2001) |
1999 |
4 | EE | Michael Blumenstein,
Brijesh Verma:
Neural-based Solutions for the Segmentation and Recognition of Difficult Handwritten Words from a Benchmark Database.
ICDAR 1999: 281-284 |
3 | EE | 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) |
1997 |
2 | EE | Brijesh Verma:
Recognition of Rotating Images Using an Automatic Feature Extraction Technique and Neural Networks.
Int. J. Neural Syst. 8(2): 201-207 (1997) |
1994 |
1 | | Brijesh Verma,
Praveen Sharma,
Jan J. Mulawka:
Training of the Multilayer Perceptrons using Direct Solution Methods.
Applied Informatics 1994: 22-25 |