Publications:

Publications

Publications list of P. Viswanath         Google Scholar Profile   

• Ph D  Thesis, IISc Bangalore 2005, "Pattern Synthesis, Compact Representation Schemes ..."

BOOKS / MONOGRAPHS (PhD Theses in its complete (verbose/updated) form)

1. Improvements to Nearest Neighbor Classifier: Pattern Synthesis, Compact Data Representation and Other Schemes, P. Viswanath, T. Hitendra Sarma, LAP-LAMBERT Academic Publishing, 2011. ISBN 978-3-8454-1649-6

2. Scalable Non-parametric Pattern Recognition Techniques for Data Mining: Fast Non-parametric Classification and Clustering Methods for Large Data Sets, Suresh Babu.V and P. Viswanath, LAP- LAMBERT Academic Publishing, 2011. ISBN 978-3-8454-1620-5

3. Gulla Kishor Kumar, Viswanath Pulabaigari, A. Ananda Rao. Intrusion Detection Methods Using an Ensemble of Decision Trees: Publisher-LAP LAMBERT Academic Publishing, ISBN-10: 6202008393, ISBN-13: 978-6202008396, Date: 25 July 2017.

4. Reducing The Computational Requirements Of Nearest Neighbor Classifier, R Raja Kumar, P Viswanath, and C Shobha Bindu, Publisher: LAP LAMBERT Academic Publishing, ISBN-13: 978-620-0-32737-6, ISBN-10:6200327378, Date: 24 September 2019.

5. Improvements Over K-Means Clustering Methods For Large Datasets, Hitendra Sarma, Viswanath P, and Mrudula K. Publisher LAP LAMBERT Academic Publishing, ISBN-13: 978-620-2-78672-0, August 2020.

JOURNALS

1. Fusion of multiple approximate nearest neighbor classifiers for fast and efficient classification, P.Viswanath,  M.N.Murty  and  Shalabh Bhatnagar, Information Fusion (Elsevier Science), 5(2004), pp 239-250, 2004. 

2. Overlap pattern synthesis with an efficient nearest neighbor classifier,  P.Viswanath,  M.N.Murty and Shalabh Bhatnagar,  Pattern Recognition (Elsevier Science), 38(2005), pp 1187-1195, 2005.

3. Partition Based Pattern Synthesis with  efficient algorithms for nearest neighbor classification, P.Viswanath, M.N.Murty and  Shalabh Bhatnagar,  Pattern Recognition Letters (Elsevier Science), 27(2006), pp 1714-1724, 2006. 

4. Rough-fuzzy weighted k-nearest leader classifier for large data sets, V. Suresh Babu, P. Viswanath,  Pattern Recognition(Elsevier Science),  42 (2009) 1719 -- 1731.

5. Rough-DBSCAN: A fast hybrid density based clustering method for large data sets. Viswanath, P., Suresh Babu, V.  Pattern Recognition Letters(Elsevier Science),  30 (2009), 1477-1488.

6. A distance based clustering method for arbitrary shaped clusters in large datasets, Bidyut kumar Patra, Sukumar Nandi, P. Viswanath, Pattern Recognition, Volume 44, Issue 12, December 2011, Pages 2862-2870.  

7.  A hybrid approach to speed-up the k-means clustering method, T. Hitendra Sarma, P. Viswanath, and B. Easwara Reddy. International Journal of Machine Learning & Cybernetics (2013) 4:107–117, DOI 10.1007/s13042-012-0079-7, Springer.

8. Scalable Rough-fuzzy Weighted Leader based Non-parametric methods for Large Data Sets , Suresh V, P. Viswanath, Bidyut Kumar Patra, Procedia Technology 6 ( 2012 ) 307 – 314,  Elsevier Science, 2012. 

9. Speeding-up the kernel k-means clustering method: A prototype based hybrid approach, T. Hitendra Sarma, P. Viswanath, B. E. Reddy,  Pattern Recognition Letters (an Elsevier Science Journal)  34 (2013) 564–573

10. Single Pass Kernel k-Means Clustering Method, T. Hitendra Sarma, P. Viswanath and B. Eswara Reddy, Sadhana 38 Part 3, Pages 407-419, 2013 (Co-published by Springer)  (pdf). 

11. Ensemble of Soft Decision Trees Using MultipleApproximate Fuzzy-Rough Set Based Reducts, Kishor Kumar, Viswanath, Ananda Rao, Int. J. of Information Processing, Vol: 9 (2), Pages: 36-46, Year: 2015, ISSN :  0973-8215, IK International Publishing House Pvt. Ltd., New Delhi.

12. Ensemble of randomized soft decision trees for robust classification, G. Kishor Kumar, P. Viswanath, and A. Ananda Rao. Sādhanā 41.3 (2016): 273-282.

13. An Approach to Reduce the Computational Burden of Nearest Neighbor Classifier, R. Raj Kumar, P. Viswanath, C. Shoba Bindu, Presented at International Conference on Computational Modeling and Security (CMS 2016) , Doddaballapur, Bengaluru, Karnataka, India, February 11-13, 2016, Published by: Elsevier Science Procedia Technology.

14. Kumar, R. Raja, P. Viswanath, and C. Shobha Bindu. "Nearest Neighbor Classifiers:A Review." International Journal of Computational Intelligence Research 13.2 (2017):303-311.

15. Kumar, R. Raja, P. Viswanath, and C. Shobha Bindu. ”An Approach to Improve Nearest Neighbor Classifier Performance .” International Journal of Applied Engineering Research 12.1, pp 8-14 (2017).  ISSN 0973-4562, 2017.

16. Semi-supervised Learning: A Brief Review, Y.C A Padmanabha Reddy, P. Viswanath, and B. Eswara Reddy, International Journal of Engineering and Technology (IJET(UAE)), Volume-7(18), March 2018, pp 81-85. (Scopus indexed). DOI: 10.14419/IJET.V7l1.8.9977 Date of Acceptance: 15 Feb 2018 Indexing Authority: Scopus.

17. A Fast Semi-supervised Single-link clustering method, Y.C A Padmanabha Reddy, P. Viswanath, and B. Eswara Reddy, International Journal of Pure and Applied Mathematics Volume 119 No 16 (2018) pp 4001-4016 (Scopus indexed). DOI: ISSN: 1314-3395 (on-line version), Date of Acceptance: 27 April 2018, Indexing Authority: Scopus.

18. A Fast Semi-supervised Density based Clustering Method, Y.C A Padmanabha Reddy, P. Viswanath, and B. Eswara Reddy, Journal of Advanced Research in Dynamic and Control systems, Volume -10- Special Issue, 2018 pp 371-378. DOI: ISSN 1943-023X 371 Date of Acceptance: 21 Aug 2018 (Received: 23 July 2018) Indexing Authority: Scopus.

19. Basha, SH Shabbeer, Shiv Ram Dubey, Viswanath Pulabaigari, and Snehasis Mukherjee. "Impact of fully connected layers on performance of convolutional neural networks for image classification." Neurocomputing 378 (2020): 112-119. [Impact Factor: 4.072 ] (Date of acceptance: 06-October-2019). DOI:https://doi.org/10.1016/j.neucom.2019.10.008. Indexed by SCI.

20. Chandra Sekhar Vorugunti, Viswanath Pulabaigari, GRK Sai Subrahmanyam, Prerana Mukherjee, "OSVFuseNet: Online Signature Verification by Feature Fusion and Depth-wise Separable Convolution Based Deep Learning.", Neurocomputing, 409 (2020), 157-172,  2020.  [Impact Factor: 4.072].  DOI: https://doi.org/10.1016/j.neucom.2020.05.072  (Date of acceptance: 25 th May 2020). Indexed by SCI.

21. Chandra Sekhar Vorugunti, Viswanath Pulabaigari, Prerana Mukherjee, Abhishek Sharma, “DeepFuseOSV: Online Signature Verification Using Hybrid Feature Fusion and Hybrid Depthwise Separable Convolution Neural Network Architecture”,  Volume 9, Issue 6, November 2020, p. 259 – 268,Print ISSN 2047-4938, Online ISSN 2047-4946, IET Biometrics, 2020. DOI: 10.1049/iet-bmt.2020.0032 ,  Impact Factor 2.2  (Date of acceptance: 9 th July 2020). Indexed by SCI.

22. Basha, S.H. Shabbeer, Vinakota, S. K., Pulabaigari, V., Mukherjee, S., & Dubey, S. R. (2020). ”AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning.” Neural Networks 133 (2021): pp 112-122. (Date of acceptance: 16-October-2020). DOI: https://doi.org/10.1016/j.neunet.2020.10.009 . Indexed by SCI.

23. Basha, S. H., Vinakota, S. K., Dubey, S. R., Pulabaigari, V., & Mukherjee, S. (2020). AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small Dataset Neural Computing and Applications journal, Volume 33, Pages 8055–8065, January 2021, (arXiv preprint arXiv:2001.11951). https://doi.org/10.1007/s00521-020-05549-4 (Date of acceptance: 18-November-2020). Indexed by SCI.

24. Kishor Kumar G, Raja Kumar R, Ram Chakka and Viswanath P (2021), "A Multi-Pronged Accurate Approach to Optical Character Recognition, Using Nearest Neighborhood and Neural Network Based Principles", Accepted on 30th July 2021 in Sādhanā(2021)46:189,  Pages 1--15, Indian Academy of Sciences (Co-published by Springer), 2021. DOI: https://doi.org/10.1007/s12046-021-01703-3  (Impact Factor 1.426).

25. V.C.Sekhar, P.Viswanath, P. Mukherjee, A.Gautam,  "COMPOSV: Compound Feature Extraction and Depthwise Separable Convolution Based Online Signature Verification", Springer Journal of Neural Computing and Applications, (Accepted on 30 Jan 22), Pages 1-28, 2022. (Indexed by SCI with IF 5.606).

26. Basha, S. H., Viswanath Pulabaigari, and Snehasis Mukherjee. "An information-rich sampling technique over spatio-temporal CNN for classification of human actions in videos." Multimedia Tools and Applications (2022): 1-19. (accepted on March 9, 2022) (an SCI-indexed, Springer Journal with IF 2.757).

27. Srinivas P.Y.K.L., Amitava Das, Viswanath Pulabaigari, "Fake spreader is narcissist; Real spreader is Machiavellian prediction of fake news diffusion using psycho-sociological facets", Expert Systems with Applications, Volume 207, 2022, 117952, ISSN 0957-4174, DoI: https://doi.org/10.1016/j.eswa.2022.117952, URL: https://www.sciencedirect.com/science/article/pii/S0957417422011885. (Accepted on 20 June 2022).

28. Srinivas P.Y.K.L., Amitava Das, Viswanath Pulabaigari, "Racists spreader is narcissistic;  sexists is Machiavellian Influence of Psycho-Sociological Facets in hate speech diffusion prediction", Accepted (accepted on 9th Jan 2024) in Expert Systems and Applications.

29. Shabbeer Basha S.H., Mohammad Farazuddin, Viswanath P, Shiv Ram Dubey, and Snehasis Mukherjee, Deep Model Compression Based on the Training History, accepted (accepted on 10th Jan 2024) in Neurocomputing.

BOOK CHAPTERS

1. Pattern synthesis techniques for large scale pattern recognition, P.Viswanath, M.N.Murty and Shalabh Bhatnagar,  a chapter in  Encyclopedia of Data Warehousing and Mining, edited by John Wang, Montclair State University, USA, Published by Idea group inc.,USA, 2005,  pp 902-905.  

2. An Efficient Parzen-Window Based Network Intrusion Detector Using a Pattern Synthesis Technique,  P.Viswanath, M.N.Murty  and Satish Kambala,  Pattern Recognition and Machine Intelligence,  Edited by  Sankar K. Pal et al. Pattern Recognition and Machine Intelligence,  Lecture Notes in Computer Science, Volume 3776, Pages 799--804, Springer Berlin / Heidelberg, 2005. Doi: 10.1007/11590316_129, ISBN: 978-3-540-30506-4

3. Weighted k-Nearest Leader Classifier for Large Data Sets, V. Suresh Babu and P. Viswanath, Pattern Recognition and Machine Intelligence, Edited by Ashish Ghosh et al,  Lecture Notes in Computer Science, Volume 4815, 2007, Pages: 17-24.Springer Berlin / Heidelberg, Doi: 10.1007/978-3-540-77046-6_3, ISBN: 978-3-540-77045-9.

4.  Some Efficient and Fast Approaches to Document Clustering, P.Viswanath, Bidyut Kr. Patra and V. Suresh Babu, a chapter in the book: Handbook of Research on Text and Web Mining Technologies, edited by Min Song, Published by 1G1, USA, Pages 181-188, 2008.

5. Pattern Synthesis for Non-parametric Pattern Recognition, P.Viswanath, M.N.Murty and Shalabh Bhatnagar,  a chapter  in  Encyclopedia of Data Warehousing and Mining, 2nd Edition, edited by John Wang, Montclair State University, USA, Published by Idea group inc.,USA, Pages 1511-1516, 2008.

6. Scalable Non-parametric Methods for Large Data Sets, V. Suresh Babu and P. Viswanath,  a chapter in  Encyclopedia of Data Warehousing and Mining, 2nd Edittion, edited by John Wang, Montclair State University, USA, Published by Idea group inc.,USA, Pages 1708-1713, 2008.

7. Speeding-up k-means clustering method: A prototype based approach, T. Hitendra Sarma, P. Viswanath,  Pattern Recognition and Machine Intelligence, LNCS 5909,  2009, Pages 56-61, Springer Berlin / Heidelberg, Doi: 10.1007/978-3-540-77046-6_3, ISBN: 978-3-540-77045-9

8. A Shape Representation Scheme for 2D Images Using Distributions of Centroid Contour Distances and Their Local Variations, Gokaramaiah, T, Viswanath, P., Eswara Reddy, B. in the book Communications in Computer and Information Science, edited by Das, Vinu V., Thankachan, Nessy., LNCS Vol. 250, Springer Berlin Heidelberg, Pages 489--493, 2011, Doi: 10.1007/978-3-642-25734-6_81, ISBN: 978-3-642-25734-6.

9. A Shape Representation Scheme for Hand-Drawn Symbol Recognition, Viswanath, Pulabaigari.,  Gokaramaiah, T., Prabhakar Rao, Gouripeddi., in the book Multi-disciplinary Trends in Artificial Intelligence, edited by Sombattheera, Chattrakul., Agarwal, Arun., Udgata, Siba.,  Lavangnananda, Kittichai., LNCS Vol. 7080, Springer Berlin / Heidelberg, Pages: 213--224, 2011. Doi: 10.1007/978-3-642-25725-4_19, ISBN: 978-3-642-25724-7.

10. Pattern Synthesis Using Fuzzy Partitions of the Feature Set for Nearest Neighbor Classifier Design, Viswanath, Pulabaigari., Chennakesalu, S., Rajkumar, R., Raja Sekhar, M., in the book Multi-disciplinary Trends in Artificial Intelligence, edited by Sombattheera, Chattrakul., Agarwal, Arun., Udgata, Siba.,  Lavangnananda, Kittichai., LNCS Vol. 7080, Springer Berlin / Heidelberg, Pages: 124--135, 2011, Doi: 10.1007/978-3-642-25725-4_11,  ISBN: 978-3-642-25724-7.

11. Query Performance Prediction Using Joint Inverse Document Frequency of Multiple Terms, P. Viswanath,  J. Rohini,  and Y.C.A Padmanabha Reddy, Presented at 2nd Int. Conf. ICECIT 2015, during 20-21, Dec 2015, Published by LNEE, Springer, Pages: 93--98, 2016. DOI: doi.org/10.1007/978-981-10-1540-3_10, Indexing Authority: Scopus. 

12. Data Compaction Techniques, R. Raj Kumar, P. Viswanath, C. Shobha Bindu, a chapter in Book: ModernTechnologies for Big Data Classification and Clustering,  IGI Global.   Pages 64--98,  2017

13. Gulla, Kishor Kumar, P. Viswanath, Suresh Babu Veluru, and R. Raja Kumar. "Machine Learning Based Intrusion Detection Techniques." In Handbook of Computer Networks and Cyber Security, pp. 873-888. Springer, Cham, 2020.

CONFERENCE PROCEEDINGS

1. An efficient classifier: using a compact tree structure and novel pattern synthesis , P.Viswanath, M.N.Murty and Shalabh Bhatnagar,  In Proceedings of HPC Asia-2002, pp 395-398, Bangalore, India, 2002.

2. Synthetic Patterns for Nearest Neighbor Classifier Design, P.Viswanath, M.N.Murty and Shalabh Bhatnagar, In Proceedings of KBCS-2002, pp 323-332, Mumbai, India, 2002.

3. A Pattern Synthesis Technique with an Efficient Nearest Neighbor Classifier for Binary Pattern Recognition,  P.Viswanath, M.N.Murty and Shalabh Bhatnagar, In proceedings of 17th Intl. Conf. on Pattern Recognition (ICPR-04), IEEE Computer Society,  Volume 4, pp 416-419, Cambridge, UK, 2004.

4. Divide-and-Conquer Approaches for Large-Scale Pattern Recognition, P.Viswanath, M.N.Murty, S.Shivade, Tirupathi and  Daulat Ram, Presented at AFOSR Workshop on Information Fusion (in the 7th International Conference on Information Fusion), Stockholm, Sweden, 2004.

5. A Pattern synthesis technique to reduce the curse of dimensionality effect, P.Viswanath, M.N.Murty and Shalabh Bhatnagar, In Proceedings of KBCS-04, Hyderabad, India, 2004, pp 219-228.

6.  l-DBSCAN : A Fast Hybrid Density Based Clustering Method,  P. Viswanath and Rajwala Pinkesh,  In  Proceedings of the 18th Intl. Conf. on Pattern Recognition (ICPR-06),  Hong Kong,  IEEE Computer Society, Volume 1, pp 912—915,Aug  2006. 

7. A Fast and Efficient Ensemble Clustering Method,  P. Viswanath,  Karthik Jayasurya,  In Proceedings of the  18th Intl. Conf. on Pattern Recognition (ICPR-06),  Hong Kong, IEEE Computer Society, Volume 2, pp 720—723, Aug  2006.

8. Novel Document Representation Scheme Using Rough Membership Function for Efficient Document Classification, V. Suresh Babu and P. Viswanath,  First International Conference on Signal and Image Processing (ICSIP-06),  IEEE Bangalore Section, Volume-2, pp 572-576,  December 2006.

9. Generalized Branch and Bound Algorithm for Feature Subset Selection, Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) - Volume 02,  IEEE Computer Society, Dec 2007,  pp 214-218. 

10. Speeding up online character recognition, in Proceedings of the Twenty-second International, Kamakhya Gupta, S. V. Rao and P. Viswanath,  Conference on  Image and  Vision Computing,  New Zealand, 2007.

11. A Fast single Link Clustering Method for Large Data Sets, Bidyut Kr. Patra, P. Viswanath and Sukumar Nandi in MCDES 2008, IISc, Bangalore, 2008.

12. An Efficient and Fast Parzen-Window Density based Clustering Method for Large Data Sets, First International, V. Suresh Babu, P. Viswanath, Conference on Emerging Trends in Engineering and Technology, IEEE Computer Society, Nagpur, 2008,  Pages 531-536.

13. Data Summarization based fast hierarchical clustering method for large datasets, Bidyut Kumar Patra, Sukumar Nandi, and P. Viswanath, In the Proceedings of the International Conference on Information Management and Engineering (ICIME 2009),  held on 3 - 5, April 2009, Kuala Lumpur, Malaysia, Pages 278 – 282, IEEE Computer Society.

14. An Improvement to k-Nearest Neighbor Classifier using Gaussian Weights, Sai Koti Reddy, Raghava, P. Viswanath and T. Hitendra sarma, Accepted in ICDM-2010, 3rd International Conf. on Data Management, IMT, Ghaziabad, India, 2010, Pages 314-324.

15. Speeding up of Polynomial Time Isomorphic Matching of Molecular Graphs, Narendra, S. V. Rao, Pinaki Mitra and P. Viswanath, Accepted in ICDM-2010, 3rd International Conf. on Data Management, IMT, Ghaziabad, India, 2010, Pages 8-16.

16.  k-Nearest Neighbor MeanClassifier: An Improvement Over k-Nearest Neighbor Classifier, Hitendra Sarma, Pavani, P. Viswanath and B. Eswara Reddy, in ICETCSE-2010: 2nd  International Conference on Emerging Technologies in Computer Science and Engineering, V.R. Sidhartha Eng College, Vijayawada,  Pages 66-71, Feb 12-13, 2010.

17.  A Method  to generate a reduced Training set for faster and better nearest neighbor classification, P. Viswanath, V. Suresh Babu and T. Naveen Kumar, in KDIR-2010: International Conference on Knowledge Discovery and Information Retrieval, Valencia, Spain. Pages 232-236, 2010.

18.  A novel shape based hierarchical retrieval system for 2D images , T Gokaramaiah , P Viswanath and  B Eswara Reddy, in Second International Conference on Advances in Recent Technologies in Communication and Computing,ARTCom-2010 ,Kottayam , Kerala, India,Pages 10-14. IEEE Computer Society.

19. T. Hitendra Sharma, Y C A Padmanabha Reddy, P Viswanth with tittle “Recent Trends in Data Clustering” in International Conference on Nanoscience & Advanced Computing (ICNEAC-2011),  during 8 -10 July 2011 at Narsapur, AP.

20. A Selective Incremental Approach for Transductive Nearest Neighbor Classification, P. Viswanath, K. Rajesh, C. Lavanya, Y.C.A. Padmanabha Reddy., in Recent Advances in Intelligent Computational Systems (RAICS), 2011, during 22-24, Sept, 2011, at IEEE kerala Section (Region 10), Thiruvananthapuram.IEEE, Pages: 221--226,  ISBN: 978-1-4244-9478-1. DOI: 10.1109/RAICS.2011.6069306, Indexing Authority: Scopus.

21. An Improvement to k-Nearest Neighbor Classifier, P. Viswanath, T. Hitendra Sarma, in Recent Advances in Intelligent Computational Systems (RAICS), 2011, IEEE, Pages: 227--231, Doi:10.1109/RAICS.2011.6069307, ISBN: 978-1-4244-9478-1.  Indexing Authority: Scopus.

22. A Fast Approximate Kernel k-means Clustering Method For Large Data set. P. Viswanath, T. Hitendra Sarma, B. Eswara Reddy, in Recent Advances in Intelligent Computational Systems (RAICS), 2011, IEEE, Pages: 545--550, Doi:10.1109/RAICS.2011.6069307, ISBN: 978-1-4244-9478-1.

23. Intrusion Detection Using an Ensemble of Decision Trees. G. Kishor Kumar, P. Viswanath, A. Ananda Rao, in the Proceedings of the Fifth Indian International Conference on Artificial Intelligence, Pages : 382--392, 2011. 

24. Automatic Decision Supporting System for Universities, Kushanoor Akbar1, Y. C. A. Padmanabha Reddy, T. Hitendra Sarma and P. Viswanath, In Proceedings of  International Conference on Emerging Trends in Electrical , Communication and Information Technologies(ICECIT-2012), Proceedings Published by Elsevier Ltd. Pages 261-267, Dec 2012.

25. E-mail Address Categorization based on Semantics of Surnames, Veluru Suresh, Yogachandran Rahulamathavan, P. Viswanath, Paul Longley, and Muttukrishnan Rajarajan In Computational Intelligence and Data Mining (CIDM), 2013 IEEE Symposium on, pp. 222-229. IEEE, 2013.

26. A New Prototype Selection Method for Nearest Neighbor Classification. R. Raja Kumar, P. Viswanath and C. Shobha Bindu, in Proc. of Int. Conf. on Advances in Communication, Network, and Computing, ACEEE, Chennai, India, Feb 2014.                                                                               

27. Nearest Neighbor Classifiers: Reducing the Computational Demands R. Raj Kumar, P. Viswanath, C. Shoba Bindu, 6th IEEE International Advance Computing Conference (IACC-016)February 27-28, 2016, Bhimavaram, Andhra Pradesh, India, Publisher: IEEE 

28. A Symlet based method for Vehicle Number Plate Extraction, B.BalvinderSingh, T.VamsiKrishna, P. Viswanath, P.B.V.N Prasad, IEEE SPONSORED 3rd INTERNATIONAL CONFERENCE ON ELECTRONICS AND COMMUNICATION SYSTEMS, (ICECS 2016), 2016.

29. Speeding-up the prototype based kernel k-means clustering method for large data sets, T. Hitendra Sarma, P. Viswanath, and Atul Negi. The International Joint Conference on Neural Networks (IJCNN 2016), Vancouver, Canada, 24-29 July 2016, PP: 1903-1910.

30. A Cascaded Method to Reduce the Computational Burden of Nearest Neighbor Classifier, Kumar, R. Raja, P. Viswanath, and C. Shobha Bindu.Proceedings of the First International Conference on Computational Intelligence and Informatics. Springer Singapore, 2017. 

31. Semi-supervised Single-link clustering method,  Y C A Padmanbha Reddy, P. Viswanath and B. Eswara Reddy, ICCIC(International Conference on Computational Intelligence and Computing Research) during 15-17, Dec 2016, IEEE. DOI: 10.1109/ICCIC.2016.7919689,  Indexing Authority: Scopus. 

32. Chris Andrew, Santhoshini Reddy, Viswanath Pulabaigari, and Umapada Pal. "Text independent writer identification for Telugu script using directional filter based features." In 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), vol. 5, pp. 65-70. IEEE, 2017. 

33. Santhoshini Reddy, Chris Andrew, Umapada Pal, Alireza Alaei, and Viswanath Pulabaigari. "Writer Identification in Indic Scripts: A Stroke Distribution Based Approach." In 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), pp. 947-952. IEEE, 2017. 

34. A Style Preserving Shape Representation Scheme for Handwritten Gesture Recognition, ICAPR 2017, at ISI Bangalore, IEEE. 

35. A Moment-Based Representation for Online Telugu Handwritten Character Recognition, Krishna Chaitanya Movva, Viswanath P. Presented at Data Analytics and Learning Conference, University of Mysore, 2018.

36. Infant Crying Cause Recognition using Conventional and Deep Learning based Approaches, Sharma Shivam, Viswanath P. and Vinay Kumar Mittal, In Proceedings of 15th International Conference on Natural Language Processing (ICON 2018), 15-18 December 2018, Punjabi University, Patiala, India 

37. RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification, S H Shabbeer Basha, Soumen Ghosh, Kancharagunta Kishan Babu, Shiv Ram Dubey, Viswanath Pulabaigari, and Snehasis Mukherjee, 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), 18-21 November 2018. DOI: 10.1109/ICARCV.2018.8581147 (Paper), (Code). 

38. R. Raja Kumar, K. Kishore Kumar, P. Viswanath and C Shoba Bindu. “Issues with Nearest Neighbor Classification”  2nd International Conference on Emerging Trends in Engineering, Sciences & Management (ICEESM’18), Dec 2018. 

39. Chandra Sekhar Vorugunti, Srinivasa Chakravarthy, Viswanath P, “ An efficient Multi Lingual Optical Character Recognition system for Indian languages through use of Bharati Script ”, 4TH WORKSHOP ON DOCUMENT ANALYSIS AND RECOGNITION (DAR-2018), 11th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2018),December 18 - 22, Hyderabad, India.

40. Chandra Sekhar Vorugunti, Viswanath P, “ A Deep Learning Architecture Based Dimensionality Reduction and Online Signature Verification”, 4TH WORKSHOP ON DOCUMENT ANALYSIS AND RECOGNITION (DAR-2018), 11th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2018),December 18 - 22, Hyderabad, India.

41. Chandra Sekhar Vorugunti, D.S. Guru, Viswanath P, “ A Secure and Light Weight User Authentication System Based on Online Signature Verification for Resource Constrained Mobile Networks”, 4TH WORKSHOP ON DOCUMENT ANALYSIS AND RECOGNITION (DAR2018), 11th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2018), December 18 - 22, Hyderabad, India.

42. Chandra Sekhar Vorugunti, D.S. Guru, Viswanath P, “ A Novel Light Weight Online Signature Verification for Resource Constrained Mobile Networks “, 11th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2018),December 18 - 22, Hyderabad, India.

43. Semantic Segmentation of Satellite Images using a Modified CNN with Hard-Swish Activation Function, R. Avenash and P. Viswanath,  In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, pp 413-420, 25-27 February 2019, Prague, Czech Republic

44. Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification, S H Shabbeer Basha, Shiv Ram Dubey, Viswanath Pulabaigari, and Snehasis Mukherjee, arXiv:1902.02771, 2019. (Paper), (Code) 

45. Chandra Sekhar Vorugunti, D.S.Guru, Viswanath P, "An Efficient Online Signature Verification Based on Feature Fusion and Interval Valued Representation of Writer Dependent Features", The 5 th IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2019), January 22 - 24, Hyderabad, India, 2019.

46. A fast simultaneous prototype and feature selection technique using k-means type clustering, V Vyshnavi, P. Viswanath , in MIND-2019:1st International Conference on Machine Learning, Image Processing, Network Security and Data sciences,  March 3 - 4, NIT Kurukshetra, India, 2019.

47. Online Signature Verification Based on Writer Specific Feature Selection and Fuzzy Similarity Measure, V Sekhar, P Mukherjee, DS Guru, Viswanath Pulabaigari, WORKSHOP ON MEDIA FORENSICS,  16-20 June, 2019,  CVPR 2019, Long Beach, USA.

48. Indian Language Optical Character Recognition Through Bharati Script based Deep Convolutional Neural Networks,  V Sekhar, Srinivas Chakravarthy, Viswanath Pulabaigari, Language and Workshop workshop, 16-20 June, 2019,  CVPR 2019, Long Beach, USA.

49. OSVNet: Convolutional Siamese Network for Writer Independent Online Signature Verification,  V Sekhar, P Mukherjee, DS Guru, Viswanath Pulabaigari Pulabaigari, OSVNet: 5th International Conference on Document Analysis and Recognition (ICDAR 2019), Sydney, Australia, Sep 2019.

50. Online Signature Verification by Few-shot Separable Convolution Based Deep Learning, Chandra Sekhar, Rama Krishna Sai Gorthi and Viswanath Pulabaigari, 5th International Conference on Document Analysis and Recognition (ICDAR 2019), Sydney, Australia, Sep 2019.

51. A Light weight and Hybrid Deep Learning Model based Online Signature Verification, Chandra Sekhar V, Prerana Mukherjee, and Viswanath P, 5th International Conference on Document Analysis and Recognition (ICDAR 2019) Workshop, Sydney, Australia, Sep 2019.

52. A Novel HL-OSV Dataset and Depthwise Separable CNN based Online Signature Verification, Chandra Sekhar V, Prerana Mukherjee, and Viswanath P, Doctoral Consortium, 5th International Conference on Document Analysis and Recognition (ICDAR 2019), pages 21-23, Sydney, Australia, Sep 2019.

53. An Interpretable Indic Optical Character Recognition through Domain Adaptation and Discriminative Localization Based Techniques, Chandra Sekhar V and Viswanath Pulabaigari, IDC-2019, the ninth IDRBT doctoral colloquim, IDRBT, Hyderabad, December 2019. 

54. Online Signature Profiling using Generative Adversarial Networks, Graduate Forum, Chandra sekhar vorugunti, Prerana Mukherjee, Viswanath Pulabaigari, 12th International Conference on COMmunication Systems & NETworkS (COMSNETS), pp:894-896, Jan 2020.

55. Chandra Sekhar Vorugunti, Viswanath Pulabaigari, GRK Sai Subrahmanyam, "OSVGAN: Generative Adversarial Networks for Data Scarce Online Signature Verification.", CVPR -Workshop :  THE 4TH WORKSHOP ON VISUAL UNDERSTANDING BY LEARNING FROM WEB DATA 2020

56. Chhavi Sharma, Deepesh Bhageria, William Scott, Srinivas PYKL, Amitava Das, Tanmoy Chakraborty, Viswanath Pulabaigari, Bjorn Gamback, "SemEval-2020 Task 8: Memotion Analysis- The Visuo-Lingual Metaphor!", COLING -Workshop: The 14th SemEval Workshop on Semantic Evaluation, December 12-13, Barcelona, Spain, 2020. (Indexed by: DBLP)  (PDF Link: https://www.aclweb.org/anthology/2020.semeval-1.99.pdf )

57. Chhavi Sharma, Viswanath Pulabaigari, "A Curious Case of Meme Detection - An Investigative Study", WEBIST -Conference: The 16th International Conference on Web Information Systems and Technologies, Nov 3 to 5,  2020. ( DOI: 10.5220/0010110203270338.  Indexed by: Scopus, DBLP, Clarivate, Semantic Scholar, Google Scholar, Microsoft Academic,  PDF Link: https://www.scitepress.org/Link.aspx?doi=10.5220/0010110203270338 )

58. Chhavi Sharma, Viswanath Pulabaigari, Amitava Das, "Meme vs. Non-Meme Classification using Visuo-Linguistic Association", WEBIST -Conference: The 16th International Conference on Web Information Systems and Technologies, Nov 3 to 5,  2020. (DOI: 0.5220/0010176303530360, Indexed by: Scopus, DBLP, Clarivate, Semantic Scholar, Google Scholar, Microsoft Academic, PDF Link: https://www.scitepress.org/Link.aspx?doi=10.5220/0010176303530360 )

59. C.V. Sekhar, S. Balasubramanian, P. Viswanath, A. Gautam, "Model Compression Based Lightweight Online Signature Verification Framework", Workshop on Document Analysis and Recognition (DAR), ICVGIP, (Date of Acceptance: 1st Nov 2021) Dec 2021. 

60. Pranita Saladi, Rishi Manudeep Guntupalli, Sudheer Kumar Puppala and Viswnath Pulabaigari, "Prioritized Semi-supervised Deep Embedded Clustering", in the 3rd Intl. Conf. on Innovative Trends in Information Technology (ICITIIT 22) 2022, (Accepted on 21 Dec 2021),  12-13 Feb 2022, Published by IEEE.

61. Chandra Sekhar Vorugunti,  S Balasubramanian, Viswanath Pulabaigari, Avinash Gautham, "Impact of Type of Convolution Operation on Performance of Convolutional Neural Networks for Online Signature Verification", in the International Conference on Frontiers in Handwriting Recognition (ICFHR), 2022. (Date of acceptance 22 August 2022). 

62. Chandra Sekhar Vorugunti,  S Balasubramanian, Prerana Mukherjee, Avinash Gautham,  "COMPOSV++: Light Weight Online Signature Verification Framework through Compound Feature Extraction and Few-shot Learning", in the International Conference on Frontiers in Handwriting Recognition (ICFHR), 2022. (Date of acceptance 22 August 2022).

63. Suryavardan S, Viswanath Pulabaigari, and Rakesh Kumar Sanodiya, "Unsupervised Domain Adaptation Supplemented with Generated Images", Accepted in the 29th International Conference on Neural Information Processing (ICONIP 2022), Nov 2022 (Date of acceptance: Sept 11, 2022).

64. Babu, S., Samudrala, S.,  Pulabaigari, V.,  Padmanabha Reddy, Y.C.A., Babu, C.M. "Gemini: Graph-based Versatile News Search Engine", in  Proceedings of the 2023 International Conference on Intelligent Systems for Communication, IoT and Security, ICISCoIS 2023, 2023, pp. 516–520. (Date of acceptance: Jan 5, 2023). Indexed by IEEE and Scopus.

65. Chandra Sekhar Vorugunti, Avinash Gautam and Viswanath P, "OSVConTramer: A Hybrid CNN and Transformer based Online Signature Verification", International Joint Conference on Biometrics (IJCB), IEEE, 2023 (Paper accepted on 15 Jul 2023). 

66. Chandra Sekhar V, Avinash Gautam, Viswanath Pulabaigari, Rama krishna Gorthi, Sreeja S, "TSOSVNet: Teacher-student collaborative knowledge distillation for Online Signature Verification", New Ideas in Vision Transformers workshop, International Conference on Computer Vision (ICCV), 2023, Paris. Accepted on 08-Aug-2023.

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