Lalita Bhanu Murthy Neti

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 54

Top Topics

Source Code Metrics

Empirical Analysis

Software Defect

Top Venues

Publications

Bathini Sai Akash, Vikram Singh, Aneesh Krishna, Lalita Bhanu Murthy Neti, Lov Kumar
Investigating BERT Layer Performance and SMOTE Through MLP-Driven Ablation on Gittercom. AINA (2) (2024)
Bathini Sai Akash, Akshara Kupireddy, Lalita Bhanu Murthy Neti
Unfair TOS: An Automated Approach using Customized BERT. CoRR (2024)
Tumu Akshar, Lov Kumar, Yogita, Lalita Bhanu Murthy Neti
Comparative Analysis of Word Embedding and Machine Learning Techniques for Classification of Software Developer Communications on Gitter. FedCSIS (2023)
Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
A Comparative Analysis on the Detection of Web Service Anti-Patterns Using Various Metrics. ISEC (2023)
Lov Kumar, Sahithi Tummalapalli, Sonika Chandrakant Rathi, Lalita Bhanu Murthy Neti, Aneesh Krishna, Sanjay Misra
Machine learning with word embedding for detecting web-services anti-patterns. J. Comput. Lang. 75 (2023)
Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni
Software Engineering Comments Sentiment Analysis Using LSTM with Various Padding Sizes. ENASE (2023)
Lov Kumar, Vikram Singh, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna
An Empirical Framework for Software Aging-Related Bug Prediction using Weighted Extreme Learning Machine. FedCSIS (Communication Papers) (2023)
Sonika Chandrakant Rathi, Sanjay Misra, Ricardo Colomo Palacios, R. Adarsh, Lalita Bhanu Murthy Neti, Lov Kumar
Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction. Expert Syst. Appl. 223 (2023)
Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni
Empirical Analysis for Investigating the Effect of Machine Learning Techniques on Malware Prediction. ENASE (2023)
Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
Detection of web service anti-patterns using weighted extreme learning machine. Comput. Stand. Interfaces 82 (2022)
Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra
COVID-19 Article Classification Using Word-Embedding and Different Variants of Deep-Learning Approach. ICAI (2022)
SaiKiranmai Gorla, Sai Sharan Tangeda, Lalita Bhanu Murthy Neti, Aruna Malapati
Telugu named entity recognition using bert. Int. J. Data Sci. Anal. 14 (2) (2022)
Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti
Web Service Anti-patterns Prediction Using LSTM with Varying Embedding Sizes. AINA (1) (2022)
Avinash Kumar, Pranjal Gupta, Nisarg Kotak, Raghunathan Balan, Lalita Bhanu Murthy Neti, Aruna Malapati
BARLAT: A Nearly Unsupervised Approach for Aspect Category Detection. Neural Process. Lett. 54 (5) (2022)
Lov Kumar, Siddarth Baldwa, Shreya Manish Jambavalikar, Lalita Bhanu Murthy Neti, Aneesh Krishna
Software Functional and Non-function Requirement Classification Using Word-Embedding. AINA (2) (2022)
Sanidhya Vijayvargiya, Lov Kumar, Aruna Malapati, Lalita Bhanu Murthy Neti, Aneesh Krishna
COVID-19 Article Classification Using Word-Embedding and Extreme Learning Machine with Various Kernels. AINA (3) (2022)
Avinash Kumar, Raghunathan Balan, Pranjal Gupta, Lalita Bhanu Murthy Neti, Aruna Malapati
BILEAT: a highly generalized and robust approach for unified aspect-based sentiment analysis. Appl. Intell. 52 (12) (2022)
Bhavesh Gawri, Anirudh Kasturi, Lalita Bhanu Murthy Neti, Chittaranjan Hota
An efficient approach to kNN algorithm for IoT devices. COMSNETS (2022)
Venkata Krishna Chandra Mula, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
Software Sentiment Analysis using Deep-learning Approach with Word-Embedding Techniques. FedCSIS (2022)
Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra
Software Requirements Classification using Deep-learning Approach with Various Hidden Layers. FedCSIS (2022)
Bathini Sai Akash, Pavan Kumar Reddy Yannam, Bokkasam Venkata Sai Ruthvik, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
Predicting Cyber-Attacks on IoT Networks Using Deep-Learning and Different Variants of SMOTE. AINA (2) (2022)
Avinash Kumar, Vishnu Teja Narapareddy, Pranjal Gupta, Veerubhotla Aditya Srikanth, Lalita Bhanu Murthy Neti, Aruna Malapati
Adversarial and Auxiliary Features-Aware BERT for Sarcasm Detection. COMAD/CODS (2021)
Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Santanu Kumar Rath
An Empirical Study to investigate the Effectiveness of Different Variants of SMOTE for Improving Web Service Anti-Patterns Prediction. ISEC (2021)
Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models. AINA (2) (2021)
Lov Kumar, Triyasha Ghosh Dastidar, Lalita Bhanu Murthy Neti, Shashank Mouli Satapathy, Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni
Deep-Learning Approach with DeepXplore for Software Defect Severity Level Prediction. ICCSA (7) (2021)
Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Vipul Kocher, Srinivas Padmanabhuni
A Novel Approach for the Detection of Web Service Anti-Patterns Using Word Embedding Techniques. ICCSA (7) (2021)
Sahithi Tummalapalli, Juhi Mittal, Lov Kumar, Lalita Bhanu Murthy Neti, Santanu Kumar Rath
An Empirical Analysis on the Prediction of Web Service Anti-patterns Using Source Code Metrics and Ensemble Techniques. ICCSA (7) (2021)
Lov Kumar, Mukesh Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni
An Empirical Study on Application of Word Embedding Techniques for Prediction of Software Defect Severity Level. FedCSIS (2021)
Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models. CoRR (2021)
Himanshu Gupta, Abhiram Anand Gulanikar, Lov Kumar, Lalita Bhanu Murthy Neti
Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell. ICCSA (9) (2021)
Avinash Kumar, Veerubhotla Aditya Srikanth, Vishnu Teja Narapareddy, Vamshi Aruru, Lalita Bhanu Murthy Neti, Aruna Malapati
Aspect term extraction for opinion mining using a Hierarchical Self-Attention Network. Neurocomputing 465 (2021)
Lov Kumar, Triyasha Ghosh Dastidar, Anjali Goyal, Lalita Bhanu Murthy Neti, Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni
Predicting Software Defect Severity Level Using Deep-Learning Approach with Various Hidden Layers. ICONIP (6) (2021)
Avinash Kumar, Pranjal Gupta, Raghunathan Balan, Lalita Bhanu Murthy Neti, Aruna Malapati
BERT Based Semi-Supervised Hybrid Approach for Aspect and Sentiment Classification. Neural Process. Lett. 53 (6) (2021)
Himanshu Gupta, Abhiram Anand Gulanikar, Lov Kumar, Lalita Bhanu Murthy Neti
Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell. CoRR (2021)
Lov Kumar, Prakhar Gupta, Lalita Bhanu Murthy Neti, Santanu Ku. Rath, Shashank Mouli Satapathy, Vipul Kocher, Srinivas Padmanabhuni
Predicting Software Defect Severity Level using Sentence Embedding and Ensemble Learning. SEAA (2021)
SaiKiranmai Gorla, Lalita Bhanu Murthy Neti, Aruna Malapati
Enhancing the Performance of Telugu Named Entity Recognition Using Gazetteer Features. Inf. 11 (2) (2020)
Avinash Kumar, Vishnu Teja Narapareddy, Veerubhotla Aditya Srikanth, Aruna Malapati, Lalita Bhanu Murthy Neti
Sarcasm Detection Using Multi-Head Attention Based Bidirectional LSTM. IEEE Access 8 (2020)
Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
An Empirical Analysis on the Role of WSDL Metrics in Web Service Anti-Pattern Prediction. HPCC/DSS/SmartCity (2020)
Avinash Kumar, Vishnu Teja Narapareddy, Veerubhotla Aditya Srikanth, Lalita Bhanu Murthy Neti, Aruna Malapati
Aspect-Based Sentiment Classification Using Interactive Gated Convolutional Network. IEEE Access 8 (2020)
Chinmay Hota, Lov Kumar, Lalita Bhanu Murthy Neti
An EmpiricalAnalysis on Effectiveness of Source Code Metrics for Models Predicting Aging Related Bug. J. Vis. Lang. Comput. 2019 (2) (2019)
Keval Morabia, Lalita Bhanu Murthy Neti, Aruna Malapati, Surender Singh Samant
SEDTWik: Segmentation-based Event Detection from Tweets Using Wikipedia. NAACL-HLT (Student Research Workshop) (2019)
Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti
A Novel Approach Towards Analysis of Attacker Behavior in DDoS Attacks. MLN (2019)
Lov Kumar, Sangeeta Lal, Lalita Bhanu Murthy Neti
Estimation of maintainability parameters for object-oriented software using hybrid neural network and class level metrics. Int. J. Syst. Assur. Eng. Manag. 10 (5) (2019)
Chinmay Hota, Lov Kumar, Lalita Bhanu Murthy Neti
An Empirical Analysis on Effectiveness of Source Code Metrics for Aging Related Bug Prediction. DMSVIVA (2019)
Lov Kumar, Chinmay Hota, Arvind Mahindru, Lalita Bhanu Murthy Neti
Android Malware Prediction Using Extreme Learning Machine with Different Kernel Functions. AINTEC (2019)
Lov Kumar, Shashank Mouli Satapathy, Lalita Bhanu Murthy Neti
Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques. ISEC (2019)
Vamsi Krishna Aribandi, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
Prediction of Refactoring-Prone Classes Using Ensemble Learning. ICONIP (5) (2019)
Jinu M. Sunil, Lov Kumar, Lalita Bhanu Murthy Neti
Bayesian Logistic Regression for software defect prediction (S). SEKE (2018)
Swapnil Shukla, T. Radhakrishnan, Muthukumaran Kasinathan, Lalita Bhanu Murthy Neti
Multi-objective cross-version defect prediction. Soft Comput. 22 (6) (2018)
C. K. Shriram, Muthukumaran Kasinathan, Lalita Bhanu Murthy Neti
Empirical Study on the Distribution of Bugs in Software Systems. Int. J. Softw. Eng. Knowl. Eng. 28 (1) (2018)
Muthukumaran Kasinathan, Amrita Dasgupta, Shirode Abhidnya, Lalita Bhanu Murthy Neti
On the Effectiveness of Cost Sensitive Neural Networks for Software Defect Prediction. SoCPaR (2016)
Muthukumaran Kasinathan, Suri Srinivas, Aruna Malapati, Lalita Bhanu Murthy Neti
Software Defect Prediction Using Augmented Bayesian Networks. SoCPaR (2016)
Muthukumaran Kasinathan, Lalita Bhanu Murthy Neti
Impact of restricted forward greedy feature selection technique on bug prediction. PeerJ Prepr. 3 (2015)
Muthukumaran Kasinathan, Akhila Rallapalli, Lalita Bhanu Murthy Neti
Impact of Feature Selection Techniques on Bug Prediction Models. ISEC (2015)