| Fuzzy rule-based approach for software fault prediction P Singh, NR Pal, S Verma, OP Vyas IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (5), 826-837, 2016 | 97 | 2016 |
| A frequent term and semantic similarity based single document text summarization algorithm NK Nagwani, S Verma International Journal of Computer Applications 17 (2), 36-40, 2011 | 66 | 2011 |
| Web usage pattern analysis through web logs: A review DS Sisodia, S Verma 2012 Ninth International Conference on Computer Science and Software …, 2012 | 53 | 2012 |
| Agglomerative approach for identification and elimination of web robots from web server logs to extract knowledge about actual visitors DS Sisodia, S Verma, OP Vyas Journal of Data Analysis and Information Processing 3 (1), 1-10, 2015 | 45 | 2015 |
| Selecting best answer: An empirical analysis on community question answering sites TP Sahu, NK Nagwani, S Verma IEEE Access 4, 4797-4808, 2016 | 38 | 2016 |
| Mediastinal lymph node malignancy detection in computed tomography images using fully convolutional network H Tekchandani, S Verma, ND Londhe Biocybernetics and Biomedical Engineering 40 (1), 187-199, 2020 | 31 | 2020 |
| Empirical investigation of fault prediction capability of object oriented metrics of open source software P Singh, S Verma 2012 Ninth International Conference on Computer Science and Software …, 2012 | 31 | 2012 |
| Predicting expert developers for newly reported bugs using frequent terms similarities of bug attributes NK Nagwani, S Verma 2011 Ninth International Conference on ICT and Knowledge Engineering, 113-117, 2012 | 31 | 2012 |
| Performance improvement of mediastinal lymph node severity detection using GAN and Inception network H Tekchandani, S Verma, N Londhe Computer Methods and Programs in Biomedicine 194, 105478, 2020 | 30 | 2020 |
| An investigation of the effect of discretization on defect prediction using static measures P Singh, S Verma 2009 International Conference on Advances in Computing, Control, and …, 2009 | 28 | 2009 |
| CLUBAS: an algorithm and Java based tool for software bug classification using bug attributes similarities NK Nagwani, S Verma Scientific Research Publishing, 2012 | 27 | 2012 |
| Multivariate beta mixture model for automatic identification of topical authoritative users in community question answering sites TP Sahu, NK Nagwani, S Verma IEEE Access 4, 5343-5355, 2016 | 23 | 2016 |
| Generating taxonomic terms for software bug classification by utilizing topic models based on Latent Dirichlet Allocation NK Nagwani, S Verma, KK Mehta 2013 Eleventh International Conference on ICT and Knowledge Engineering, 1-5, 2013 | 23 | 2013 |
| Deep dilated v-net for 3d volume segmentation of pancreas in ct images B Giddwani, H Tekchandani, S Verma 2020 7th International Conference on Signal Processing and Integrated …, 2020 | 22 | 2020 |
| Predictive data mining model for software bug estimation using average weighted similarity NK Nagwani, S Verma 2010 IEEE 2nd International Advance Computing Conference (IACC), 373-378, 2010 | 22 | 2010 |
| Augmented intuitive dissimilarity metric for clustering of Web user sessions DS Sisodia, S Verma, OP Vyas Journal of Information Science 43 (4), 480-491, 2017 | 20 | 2017 |
| A comparative study of bug classification algorithms NK Nagwani, S Verma International Journal of Software Engineering and Knowledge Engineering 24 …, 2014 | 20 | 2014 |
| Cross company and within company fault prediction using object oriented metrics P Singh, S Verma, O Vyas International Journal of Computer Applications 74 (8), 5-11, 2013 | 19 | 2013 |
| Performance improvement of P300-based home appliances control classification using convolution neural network PK Shukla, RK Chaurasiya, S Verma Biomedical Signal Processing and Control 63, 102220, 2021 | 17 | 2021 |
| Application of workfunction engineering in vertical superjunction devices P Nautiyal, A Naugarhiya, S Verma Superlattices and Microstructures 109, 927-935, 2017 | 17 | 2017 |
Dr. Pradeep SinghAssociate Professor, NATIONAL INSTITUTE OF TECHNOLOGY Raipur在 nitrr.ac.in 的电子邮件经过验证
