Lalita Bhanu Murthy Neti
Orcid: 0000-0002-9187-1869Affiliations:
- BITS Pilani Hyderabad Campus, Pakistan
According to our database1,
Lalita Bhanu Murthy Neti
authored at least 69 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
A Codebert Based Empirical Framework for Evaluating Classification-Enabled Vulnerability Prediction Models.
Proceedings of the 17th Innovations in Software Engineering Conference, 2024
Investigating BERT Layer Performance and SMOTE Through MLP-Driven Ablation on Gittercom.
Proceedings of the Advanced Information Networking and Applications, 2024
2023
Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction.
Expert Syst. Appl., August, 2023
J. Comput. Lang., 2023
A Comparative Analysis on the Detection of Web Service Anti-Patterns Using Various Metrics.
Proceedings of the 16th Innovations in Software Engineering Conference, 2023
Automatic Identification of Video Game Development Problems using Word Embedding and Ensemble Classifiers.
Proceedings of the 16th Innovations in Software Engineering Conference, 2023
An Empirical Framework for Software Aging-Related Bug Prediction using Weighted Extreme Learning Machine.
Proceedings of the Communication Papers of the 18th Conference on Computer Science and Intelligence Systems, 2023
Comparative Analysis of Word Embedding and Machine Learning Techniques for Classification of Software Developer Communications on Gitter.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023
Empirical Analysis for Investigating the Effect of Machine Learning Techniques on Malware Prediction.
Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, 2023
Software Engineering Comments Sentiment Analysis Using LSTM with Various Padding Sizes.
Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, 2023
2022
Neural Process. Lett., 2022
Comput. Stand. Interfaces, 2022
BILEAT: a highly generalized and robust approach for unified aspect-based sentiment analysis.
Appl. Intell., 2022
Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022
Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022
COVID-19 Article Classification Using Word-Embedding and Different Variants of Deep-Learning Approach.
Proceedings of the Applied Informatics: 5th International Conference, 2022
Software Requirements Classification using Deep-learning Approach with Various Hidden Layers.
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022
Software Sentiment Analysis using Deep-learning Approach with Word-Embedding Techniques.
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022
Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022
COVID-19 Article Classification Using Word-Embedding and Extreme Learning Machine with Various Kernels.
Proceedings of the Advanced Information Networking and Applications, 2022
Proceedings of the Advanced Information Networking and Applications, 2022
Software Functional and Non-function Requirement Classification Using Word-Embedding.
Proceedings of the Advanced Information Networking and Applications, 2022
Predicting Cyber-Attacks on IoT Networks Using Deep-Learning and Different Variants of SMOTE.
Proceedings of the Advanced Information Networking and Applications, 2022
2021
Neural Process. Lett., 2021
Informatica (Slovenia), 2021
Aspect term extraction for opinion mining using a Hierarchical Self-Attention Network.
Neurocomputing, 2021
An Empirical Study to investigate the Effectiveness of Different Variants of SMOTE for Improving Web Service Anti-Patterns Prediction.
Proceedings of the ISEC 2021: 14th Innovations in Software Engineering Conference, 2021
Predicting Software Defect Severity Level Using Deep-Learning Approach with Various Hidden Layers.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Prediction of Video Game Development Problems Based on Postmortems using Different Word Embedding Techniques.
Proceedings of the 18th International Conference on Natural Language Processing (ICON 2021), National Institute of Technology Silchar, Silchar, India, December 16, 2021
An Empirical Analysis on the Prediction of Web Service Anti-patterns Using Source Code Metrics and Ensemble Techniques.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
A Novel Approach for the Detection of Web Service Anti-Patterns Using Word Embedding Techniques.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
Deep-Learning Approach with DeepXplore for Software Defect Severity Level Prediction.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
An Empirical Study on Application of Word Embedding Techniques for Prediction of Software Defect Severity Level.
Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021
Predicting Software Defect Severity Level using Sentence Embedding and Ensemble Learning.
Proceedings of the 47th Euromicro Conference on Software Engineering and Advanced Applications, 2021
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021
An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models.
Proceedings of the Advanced Information Networking and Applications, 2021
2020
Enhancing the Performance of Telugu Named Entity Recognition Using Gazetteer Features.
Inf., 2020
IEEE Access, 2020
IEEE Access, 2020
Prediction of Web Service Anti-patterns Using Aggregate Software Metrics and Machine Learning Techniques.
Proceedings of the ISEC 2020: 13th Innovations in Software Engineering Conference, 2020
An Empirical Study to Investigate Data Sampling Techniques for Improving Code-Smell Prediction Using Imbalanced Data.
Proceedings of the Information and Communication Technology and Applications, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
An Empirical Analysis on the Role of WSDL Metrics in Web Service Anti-Pattern Prediction.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020
2019
Estimation of maintainability parameters for object-oriented software using hybrid neural network and class level metrics.
Int. J. Syst. Assur. Eng. Manag., 2019
An EmpiricalAnalysis on Effectiveness of Source Code Metrics for Models Predicting Aging Related Bug.
J. Vis. Lang. Comput., 2019
Improving Term Weighting Schemes for Short Text Classification in Vector Space Model.
IEEE Access, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the Machine Learning for Networking, 2019
Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques.
Proceedings of the 12th Innovations on Software Engineering Conference (formerly known as India Software Engineering Conference), 2019
Change-Proneness of Object-Oriented Software Using Combination of Feature Selection Techniques and Ensemble Learning Techniques.
Proceedings of the 12th Innovations on Software Engineering Conference (formerly known as India Software Engineering Conference), 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the Information and Software Technologies - 25th International Conference, 2019
An Empirical Analysis on Effectiveness of Source Code Metrics for Aging Related Bug Prediction.
Proceedings of the 25th International DMS Conference on Visualization and Visual Languages, 2019
Android Malware Prediction Using Extreme Learning Machine with Different Kernel Functions.
Proceedings of the AINTEC '19, 2019
2018
Int. J. Softw. Eng. Knowl. Eng., 2018
Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018
Proceedings of the Distributed Computing and Internet Technology, 2018
Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval co-located with 40th European Conference on Information Retrieval (ECIR 2018), 2018
2017
Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017
Proceedings of the 9th annual meeting of the Forum for Information Retrieval Evaluation, 2017
2016
Teaching Computer Programming Using MOOCs in Multiple Campuses: Challenges and Solutions.
Proceedings of the Eighth IEEE International Conference on Technology for Education, 2016
Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016
On the Effectiveness of Cost Sensitive Neural Networks for Software Defect Prediction.
Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016
2015
PeerJ Prepr., 2015
Proceedings of the 8th India Software Engineering Conference, 2015