Impact of fully connected layers on performance of convolutional neural networks for image classification SHS Basha, SR Dubey, V Pulabaigari, S Mukherjee Neurocomputing 378, 112-119, 2020 | 435 | 2020 |
Semi-supervised learning: A brief review Y Reddy, P Viswanath, BE Reddy Int. J. Eng. Technol 7 (1.8), 81, 2018 | 187 | 2018 |
Rough-DBSCAN: A fast hybrid density based clustering method for large data sets P Viswanath, VS Babu Pattern Recognition Letters 30 (16), 1477-1488, 2009 | 179 | 2009 |
l-dbscan: A fast hybrid density based clustering method P Viswanath, R Pinkesh 18th International Conference on Pattern Recognition (ICPR'06) 1, 912-915, 2006 | 127 | 2006 |
SemEval-2020 Task 8: Memotion Analysis--The Visuo-Lingual Metaphor! C Sharma, D Bhageria, W Scott, S Pykl, A Das, T Chakraborty, ... arXiv preprint arXiv:2008.03781, 2020 | 124 | 2020 |
Rccnet: An efficient convolutional neural network for histological routine colon cancer nuclei classification SHS Basha, S Ghosh, KK Babu, SR Dubey, V Pulabaigari, S Mukherjee 2018 15th International Conference on Control, Automation, Robotics and …, 2018 | 67 | 2018 |
A hybrid approach to speed-up the k-means clustering method TH Sarma, P Viswanath, BE Reddy International Journal of Machine Learning and Cybernetics 4, 107-117, 2013 | 62 | 2013 |
An improvement to k-nearest neighbor classifier P Viswanath, TH Sarma 2011 IEEE Recent Advances in Intelligent Computational Systems, 227-231, 2011 | 61 | 2011 |
A distance based clustering method for arbitrary shaped clusters in large datasets BK Patra, S Nandi, P Viswanath Pattern Recognition 44 (12), 2862-2870, 2011 | 57 | 2011 |
Osvfusenet: online signature verification by feature fusion and depth-wise separable convolution based deep learning CS Vorugunti, V Pulabaigari, RKSS Gorthi, P Mukherjee Neurocomputing 409, 157-172, 2020 | 38 | 2020 |
Rough-fuzzy weighted k-nearest leader classifier for large data sets VS Babu, P Viswanath Pattern Recognition 42 (9), 1719-1731, 2009 | 35 | 2009 |
Osvnet: Convolutional siamese network for writer independent online signature verification CS Vorugunti, P Mukherjee, V Pulabaigari 2019 international conference on document analysis and recognition (ICDAR …, 2019 | 34 | 2019 |
Fusion of multiple approximate nearest neighbor classifiers for fast and efficient classification P Viswanath, MN Murty, S Bhatnagar Information fusion 5 (4), 239-250, 2004 | 34 | 2004 |
Autotune: Automatically tuning convolutional neural networks for improved transfer learning SHS Basha, SK Vinakota, V Pulabaigari, S Mukherjee, SR Dubey Neural Networks 133, 112-122, 2021 | 33 | 2021 |
Partition based pattern synthesis technique with efficient algorithms for nearest neighbor classification P Viswanath, MN Murty, S Bhatnagar Pattern Recognition Letters 27 (14), 1714-1724, 2006 | 30 | 2006 |
Online signature verification by few-shot separable convolution based deep learning CS Vorugunti, RKS Gorthi, V Pulabaigari 2019 international conference on document analysis and recognition (ICDAR …, 2019 | 26 | 2019 |
DeepFuseOSV: online signature verification using hybrid feature fusion and depthwise separable convolution neural network architecture C Sekhar Vorugunti, V Pulabaigari, P Mukherjee, A Sharma IET Biometrics 9 (6), 259-268, 2020 | 22 | 2020 |
An information-rich sampling technique over spatio-temporal CNN for classification of human actions in videos SHS Basha, V Pulabaigari, S Mukherjee Multimedia Tools and Applications 81 (28), 40431-40449, 2022 | 21 | 2022 |
Autofcl: automatically tuning fully connected layers for handling small dataset SHS Basha, SK Vinakota, SR Dubey, V Pulabaigari, S Mukherjee Neural Computing and Applications 33 (13), 8055-8065, 2021 | 20 | 2021 |
Single pass kernel k-means clustering method TH Sarma, P Viswanath, BE Reddy Sadhana 38 (3), 407-419, 2013 | 20 | 2013 |