| Software development efforts prediction using artificial neural network M Bisi, NK Goyal Iet Software 10 (3), 63-71, 2016 | 32 | 2016 |
| Software reliability prediction using neural network with encoded input M Bisi, NK Goyal International Journal of Computer Applications 47 (22), 46-52, 2012 | 32 | 2012 |
| Artificial neural network applications for software reliability prediction M Bisi, NK Goyal John Wiley & Sons, 2017 | 30 | 2017 |
| Diversity based imbalance learning approach for software fault prediction using machine learning models P Manchala, M Bisi Applied Soft Computing 124, 109069, 2022 | 21 | 2022 |
| Early prediction of software fault-prone module using artificial neural network MBNK GOYAL International Journal of Performability Engineering 11 (1), 44, 2015 | 13 | 2015 |
| Predicting cumulative number of failures in software using an ANN-PSO based approach M Bisi, NK Goyal 2015 International Conference on Computational Intelligence and Networks, 9-14, 2015 | 8 | 2015 |
| Prediction of software inter-failure times using artificial neural network and particle swarm optimisation models M Bisi, NK Goyal International Journal of Software Engineering, Technology and Applications 1 …, 2015 | 6 | 2015 |
| Cnn-bpso model for multi classification of tweets M Bisi, A Divija, S Namala, R Sarap 2020 IEEE 4th Conference on Information & Communication Technology (CICT), 1-5, 2020 | 4 | 2020 |
| BAFS: binary artificial bee colony based feature selection approach to estimate software development effort P Manchala, M Bisi, S Agrawal International Journal of Information Technology 15 (6), 2975-2986, 2023 | 3 | 2023 |
| Ensembling teaching-learning-based optimization algorithm with analogy-based estimation to predict software development effort P Manchala, M Bisi 2022 13th International Conference on Computing Communication and Networking …, 2022 | 2 | 2022 |
| Learning automata based feature selection for duplex output software effort estimation model KR Rathod, S Bansal, YHC Kandpal, M Bisi 2021 12th International Conference on Computing Communication and Networking …, 2021 | 2 | 2021 |
| Software fault-prone module classification using learning automata based deep neural network model MM Ahmed, BS Kiran, PH Sai, M Bisi 2021 12th International Conference on Computing Communication and Networking …, 2021 | 2 | 2021 |
| CNN-BPSO approach to select optimal values of CNN parameters for software requirements classification M Bisi, K Keskar 2020 IEEE 17th India Council International Conference (INDICON), 1-6, 2020 | 2 | 2020 |
| A BPSO-ANN model for trust prediction of cloud services M Bisi, S Patel 2019 Global Conference for Advancement in Technology (GCAT), 1-5, 2019 | 2 | 2019 |
| An ANN-PSO-based model to predict fault-prone modules in software M Bisi, NK Goyal International Journal of Reliability and Safety 10 (3), 243-264, 2016 | 2 | 2016 |
| Code injection attacks detection in hybrid applications using cnn PS Puvvada, S Viswaja, M Bisi Advances in Distributed Computing and Machine Learning: Proceedings of …, 2022 | 1 | 2022 |
| An ANN-TLBO model to predict cumulative number of failures in software M Bisi 2020 IEEE-HYDCON, 1-4, 2020 | 1 | 2020 |
| TSoptEE: two-stage optimization technique for software development effort estimation P Manchala, M Bisi Cluster Computing, 1-20, 2024 | | 2024 |
| Ensemble learning and stacked convolutional neural network for Covid-19 situational information analysis using social media data M Bisi, R Maurya Multimedia Tools and Applications, 1-25, 2024 | | 2024 |
| Source Project Selection for Cross-Project Software Defect Prediction using Clustering Approach M Patil, M Bisi, P Manchala 2023 IEEE 20th India Council International Conference (INDICON), 904-909, 2023 | | 2023 |
Neeraj Kumar GoyalSubir Chowdhury School of Quality and Reliability, IIT KharagpurVerified email at hijli.iitkgp.ac.in
