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ORCIDT. Kathirvalavakumar
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2020 – today
- 2023
[c16]S. Karthikeyan, T. Kathirvalavakumar, Rajendra Prasath:
Classification of the Class Imbalanced Data Using Mahalanobis Distance with Feature Filtering. MIKE 2023: 45-53- 2021
- [c15]A. Suriya Priyanka, T. Kathirvalavakumar, Rajendra Prasath:
Type 2 Diabetes Prediction from the Weighted Data. MIKE 2021: 1-12 - [c14]S. Alagukumar, T. Kathirvalavakumar, Rajendra Prasath:
Compact Associative Classification for Up and Down Regulated Genes Using Supervised Discretization and Clustering. MIKE 2021: 33-46 - [c13]M. Ragunathan, T. Kathirvalavakumar, Rajendra Prasath:
Enhanced Group Key Distribution Protocol for Intra Group and Inter Group Communication Using Access Control Polynomial. MIKE 2021: 225-232
2010 – 2019
- 2019
- [c12]K. S. Jeyalakshmi
, T. Kathirvalavakumar:
Haralick Features from Wavelet Domain in Recognizing Fingerprints Using Neural Network. MIKE 2019: 120-130 - [c11]T. Kathirvalavakumar, S. Karthikeyan, Rajendra Prasath:
Under-Sample Binary Data Using CURE for Classification. MIKE 2019: 186-195 - 2018
- [c10]Pandiselvam Pandiyarajan, Thangairulappan Kathirvalavakumar:
Classification of Dengue Serotypes Using Protein Sequence Based on Rule Extraction from Neural Network. MIKE 2018: 127-137 - 2017
- [c9]K. S. Jeyalakshmi, T. Kathirvalavakumar:
Fingerprint Image Enhancement Using Steerable Filter in Wavelet Domain. ISDA 2017: 315-325 - [c8]Pandiselvam Pandiyarajan, Thangairulappan Kathirvalavakumar:
Classification of Dengue Gene Expression Using Entropy-Based Feature Selection and Pruning on Neural Network. ISDA 2017: 519-529 - [c7]J. Jebakumari Beulah Vasanthi, T. Kathirvalavakumar:
Face Recognition by RBF with Wavelet, DCV and Modified LBP Operator Face Representation Methods. MIKE 2017: 178-188 - 2015
- [c6]T. Kathirvalavakumar, K. S. Jeyalakshmi:
Optimal Core Point Detection Using Multi-scale Principal Component Analysis. MIKE 2015: 194-203 - [c5]T. Kathirvalavakumar, R. Palaniappan:
Recognizing Handwritten Arabic Numerals Using Partitioning Approach and KNN Algorithm. MIKE 2015: 226-234 - [e3]Rajendra Prasath, Anil Kumar Vuppala, T. Kathirvalavakumar:
Mining Intelligence and Knowledge Exploration - Third International Conference, MIKE 2015, Hyderabad, India, December 9-11, 2015, Proceedings. Lecture Notes in Computer Science 9468, Springer 2015, ISBN 978-3-319-26831-6 [contents] - 2014
- [c4]Thangairulappan Kathirvalavakumar, M. Karthigai Selvi, R. Palaniappan:
Efficient Handwritten Numeral Recognition System Using Leaders of Separated Digit and RBF Network. MIKE 2014: 135-144 - [e2]Rajendra Prasath, Philip O'Reilly, T. Kathirvalavakumar:
Mining Intelligence and Knowledge Exploration - Second International Conference, MIKE 2014, Cork, Ireland, December 10-12, 2014. Proceedings. Lecture Notes in Computer Science 8891, Springer 2014, ISBN 978-3-319-13816-9 [contents] - 2013
- [j10]M. Gethsiyal Augasta, T. Kathirvalavakumar:
Pruning algorithms of neural networks - a comparative study. Central Eur. J. Comput. Sci. 3(3): 105-115 (2013) - [j9]T. Kathirvalavakumar, E. Ponmalar:
Self organizing map and wavelet based image compression. Int. J. Mach. Learn. Cybern. 4(4): 319-326 (2013) - [c3]M. Gethsiyal Augasta, Thangairulappan Kathirvalavakumar:
An Empirical Comparison of Discretization Methods for Neural Classifier. MIKE 2013: 38-49 - [c2]Thangairulappan Kathirvalavakumar, J. Jebakumari Beulah Vasanthi:
Face Representation Using Averaged Wavelet, Micro Patterns and Recognition Using RBF Network. MIKE 2013: 148-159 - [c1]Thangairulappan Kathirvalavakumar, M. Karthigai Selvi:
Efficient Touching Text Line Segmentation in Tamil Script Using Horizontal Projection. MIKE 2013: 279-288 - [e1]Rajendra Prasath, T. Kathirvalavakumar:
Mining Intelligence and Knowledge Exploration, First International Conference, MIKE 2013, Tamil Nadu, India, December 18-20, 2013. Lecture Notes in Computer Science 8284, Springer 2013, ISBN 978-3-319-03843-8 [contents] - 2012
- [j8]M. Gethsiyal Augasta, T. Kathirvalavakumar:
A new discretization algorithm based on range coefficient of dispersion and skewness for neural networks classifier. Appl. Soft Comput. 12(2): 619-625 (2012) - [j7]M. Gethsiyal Augasta, T. Kathirvalavakumar:
Reverse Engineering the Neural Networks for Rule Extraction in Classification Problems. Neural Process. Lett. 35(2): 131-150 (2012) - 2011
- [j6]M. Gethsiyal Augasta, T. Kathirvalavakumar:
A Novel Pruning Algorithm for Optimizing Feedforward Neural Network of Classification Problems. Neural Process. Lett. 34(3): 241-258 (2011)
2000 – 2009
- 2009
- [j5]T. Kathirvalavakumar, S. Jeyaseeli Subavathi:
Neighborhood based modified backpropagation algorithm using adaptive learning parameters for training feedforward neural networks. Neurocomputing 72(16-18): 3915-3921 (2009) - 2006
- [j4]T. Kathirvalavakumar, P. Thangavel:
A Modified Backpropagation Training Algorithm for Feedforward Neural Networks*. Neural Process. Lett. 23(2): 111-119 (2006) - 2003
- [j3]P. Thangavel, T. Kathirvalavakumar:
Simultaneous perturbation for single hidden layer networks -- cascade learning. Neurocomputing 50: 193-209 (2003) - [j2]T. Kathirvalavakumar, P. Thangavel:
A New Learning Algorithm Using Simultaneous Perturbation with Weight Initialization. Neural Process. Lett. 17(1): 55-68 (2003) - 2002
- [j1]P. Thangavel, T. Kathirvalavakumar:
Training feedforward networks using simultaneous perturbation with dynamic tunneling. Neurocomputing 48(1-4): 691-704 (2002)
Coauthor Index
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