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ORCIDLalita Bhanu Murthy Neti
N. L. Bhanu Murthy
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- affiliation: BITS Pilani Hyderabad Campus, Pakistan
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2020 – today
- 2024
[c50]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: 292-302- [c49]Tumu Akshar
, Vikram Singh, N. L. Bhanu Murthy, Aneesh Krishna, Lov Kumar:
A Codebert Based Empirical Framework for Evaluating Classification-Enabled Vulnerability Prediction Models. ISEC 2024: 6:1-6:11 - [i4]Bathini Sai Akash, Akshara Kupireddy, Lalita Bhanu Murthy Neti:
Unfair TOS: An Automated Approach using Customized BERT. CoRR abs/2401.11207 (2024) - 2023
- [j17]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: 119806 (2023) - [j16]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: 101207 (2023) - [c48]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: 396-403 - [c47]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: 453-460 - [c46]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: 181-188 - [c45]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: 335-346 - [c44]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: 10:1-10:7 - [c43]Anirudh A, Lov Kumar, N. L. Bhanu Murthy, Aneesh Krishna:
Automatic Identification of Video Game Development Problems using Word Embedding and Ensemble Classifiers. ISEC 2023: 19:1-19:5 - 2022
- [j15]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): 14025-14040 (2022) - [j14]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: 103621 (2022) - [j13]SaiKiranmai Gorla, Sai Sharan Tangeda, Lalita Bhanu Murthy Neti, Aruna Malapati:
Telugu named entity recognition using bert. Int. J. Data Sci. Anal. 14(2): 127-140 (2022) - [j12]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): 4495-4519 (2022) - [c42]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: 69-81 - [c41]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: 167-179 - [c40]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: 243-255 - [c39]Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti:
Web Service Anti-patterns Prediction Using LSTM with Varying Embedding Sizes. AINA (1) 2022: 399-410 - [c38]Bhavesh Gawri, Anirudh Kasturi, Lalita Bhanu Murthy Neti, Chittaranjan Hota:
An efficient approach to kNN algorithm for IoT devices. COMSNETS 2022: 734-738 - [c37]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: 873-882 - [c36]Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra:
Software Requirements Classification using Deep-learning Approach with Various Hidden Layers. FedCSIS 2022: 895-904 - [c35]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: 15-30 - [c34]Venkata Krishna Chandra Mula, Sanidhya Vijayvargiya, Lov Kumar, Surender Singh Samant, N. L. Bhanu Murthy:
Software Sentiment Analysis Using Machine Learning with Different Word-Embedding. ICCSA (Workshops 5) 2022: 396-410 - [c33]Sanidhya Vijayvargiya, Lov Kumar, Aruna Malapati, N. L. Bhanu Murthy, Sanjay Misra:
Software Functional Requirements Classification Using Ensemble Learning. ICCSA (Workshops 5) 2022: 678-691 - 2021
- [j11]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: 195-204 (2021) - [j10]Surender Singh Samant, N. L. Bhanu Murthy, Aruna Malapati:
Categorization of Event Clusters from Twitter Using Term Weighting Schemes. Informatica (Slovenia) 45(3) (2021) - [j9]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): 4207-4224 (2021) - [c32]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: 120-132 - [c31]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: 163-170 - [c30]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: 379-386 - [c29]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: 477-484 - [c28]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: 43-53 - [c27]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: 217-230 - [c26]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: 263-276 - [c25]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: 398-410 - [c24]Anirudh A, Aman RAJ Singh, Anjali Goyal, Lov Kumar, N. L. Bhanu Murthy:
Prediction of Video Game Development Problems Based on Postmortems using Different Word Embedding Techniques. ICON 2021: 465-473 - [c23]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: 744-751 - [c22]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: 19:1-19:5 - [i3]Himanshu Gupta, Abhiram Anand Gulanikar, Lov Kumar, Lalita Bhanu Murthy Neti:
Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell. CoRR abs/2108.04656 (2021) - [i2]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 abs/2108.04659 (2021) - 2020
- [j8]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: 6388-6397 (2020) - [j7]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: 22445-22453 (2020) - [j6]SaiKiranmai Gorla, Lalita Bhanu Murthy Neti, Aruna Malapati:
Enhancing the Performance of Telugu Named Entity Recognition Using Gazetteer Features. Inf. 11(2): 82 (2020) - [c21]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: 559-564 - [c20]Sahithi Tummalapalli, Lov Kumar, N. L. Bhanu Murthy, Aneesh Krishna:
Detection of Web Service Anti-patterns Using Neural Networks with Multiple Layers. ICONIP (5) 2020: 571-579 - [c19]Himanshu Gupta, Sanjay Misra, Lov Kumar, N. L. Bhanu Murthy:
An Empirical Study to Investigate Data Sampling Techniques for Improving Code-Smell Prediction Using Imbalanced Data. ICTA 2020: 220-233 - [c18]Sahithi Tummalapalli, Lov Kumar, N. L. Bhanu Murthy:
Prediction of Web Service Anti-patterns Using Aggregate Software Metrics and Machine Learning Techniques. ISEC 2020: 8:1-8:11
2010 – 2019
- 2019
- [j5]Surender Singh Samant, N. L. Bhanu Murthy, Aruna Malapati:
Improving Term Weighting Schemes for Short Text Classification in Vector Space Model. IEEE Access 7: 166578-166592 (2019) - [j4]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): 117-126 (2019) - [j3]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): 1234-1264 (2019) - [c17]Lov Kumar, Chinmay Hota, Arvind Mahindru, Lalita Bhanu Murthy Neti:
Android Malware Prediction Using Extreme Learning Machine with Different Kernel Functions. AINTEC 2019: 33-40 - [c16]Chinmay Hota, Lov Kumar, Lalita Bhanu Murthy Neti:
An Empirical Analysis on Effectiveness of Source Code Metrics for Aging Related Bug Prediction. DMSVIVA 2019: 83-94 - [c15]Muthukumaran Kasinathan, N. L. Bhanu Murthy, P. Sarguna Janani:
Empirical Study on the Distribution of Object-Oriented Metrics in Software Systems. ICIST 2019: 299-317 - [c14]Vamsi Krishna Aribandi, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna:
Prediction of Refactoring-Prone Classes Using Ensemble Learning. ICONIP (5) 2019: 242-250 - [c13]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: 7:1-7:10 - [c12]Lov Kumar, Sangeeta Lal, Anjali Goyal, N. L. Bhanu Murthy:
Change-Proneness of Object-Oriented Software Using Combination of Feature Selection Techniques and Ensemble Learning Techniques. ISEC 2019: 8:1-8:11 - [c11]Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti:
A Novel Approach Towards Analysis of Attacker Behavior in DDoS Attacks. MLN 2019: 392-402 - [c10]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: 77-85 - 2018
- [j2]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): 97-122 (2018) - [j1]Swapnil Shukla, T. Radhakrishnan, Muthukumaran Kasinathan, Lalita Bhanu Murthy Neti:
Multi-objective cross-version defect prediction. Soft Comput. 22(6): 1959-1980 (2018) - [c9]SaiKiranmai Gorla, Sriharshitha Velivelli, N. L. Bhanu Murthy, Aruna Malapati:
Named Entity Recognition for Telugu News Articles using Naïve Bayes Classifier. NewsIR@ECIR 2018: 33-38 - [c8]Surender Singh Samant, N. L. Bhanu Murthy, Aruna Malapati:
CapAct: A Wordnet-Based Summarizer for Real-World Events from Microblogs. ICDCIT 2018: 306-314 - [c7]Jinu M. Sunil, Lov Kumar, Lalita Bhanu Murthy Neti:
Bayesian Logistic Regression for software defect prediction (S). SEKE 2018: 421-420 - 2017
- [c6]SaiKiranmai Gorla, N. L. Bhanu Murthy, Aruna Malapati:
A Comparative Study of Named Entity Recognition for Telugu. FIRE 2017: 21-24 - [c5]Surender Singh Samant, N. L. Bhanu Murthy, Aruna Malapati:
A Novel Method for Summarization and Evaluation of Messages from Twitter. ICAPR 2017: 1-6 - 2016
- [c4]Muthukumaran Kasinathan, Suri Srinivas, Aruna Malapati, Lalita Bhanu Murthy Neti:
Software Defect Prediction Using Augmented Bayesian Networks. SoCPaR 2016: 279-293 - [c3]Muthukumaran Kasinathan, Amrita Dasgupta, Shirode Abhidnya, Lalita Bhanu Murthy Neti:
On the Effectiveness of Cost Sensitive Neural Networks for Software Defect Prediction. SoCPaR 2016: 557-570 - [c2]Tathagata Ray, Aruna Malapati, N. L. Bhanu Murthy:
Teaching Computer Programming Using MOOCs in Multiple Campuses: Challenges and Solutions. T4E 2016: 160-163 - 2015
- [c1]Muthukumaran Kasinathan, Akhila Rallapalli, Lalita Bhanu Murthy Neti:
Impact of Feature Selection Techniques on Bug Prediction Models. ISEC 2015: 120-129 - [i1]Muthukumaran Kasinathan, Lalita Bhanu Murthy Neti:
Impact of restricted forward greedy feature selection technique on bug prediction. PeerJ Prepr. 3: e1411 (2015)
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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