Lalita Bhanu Murthy Neti

55 papers B 4C 5Misc 1Journal 19Unranked 26

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	An Empirical Framework for Automatic Identification of Video Game Development Problems Using Multilayer Perceptron. ENASE Pratham Maan, Lov Kumar, Vikram Singh, Lalita Bhanu Murthy Neti, Aneesh Krishna
2024	—	`conf`	Investigating BERT Layer Performance and SMOTE Through MLP-Driven Ablation on Gittercom. AINA (2) Bathini Sai Akash, Vikram Singh, Aneesh Krishna, Lalita Bhanu Murthy Neti, Lov Kumar
2024	J	`jnl`	Unfair TOS: An Automated Approach using Customized BERT. CoRR Bathini Sai Akash, Akshara Kupireddy, Lalita Bhanu Murthy Neti
2023	—	`conf`	A Comparative Analysis on the Detection of Web Service Anti-Patterns Using Various Metrics. ISEC Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2023	—	`conf`	An Empirical Framework for Software Aging-Related Bug Prediction using Weighted Extreme Learning Machine. FedCSIS (Communication Papers) Lov Kumar, Vikram Singh, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna
2023	C	`conf`	Comparative Analysis of Word Embedding and Machine Learning Techniques for Classification of Software Developer Communications on Gitter. FedCSIS Tumu Akshar, Lov Kumar, Yogita, Lalita Bhanu Murthy Neti
2023	B	`conf`	Empirical Analysis for Investigating the Effect of Machine Learning Techniques on Malware Prediction. ENASE Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni
2023	J	`jnl`	Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction. Expert Syst. Appl. Sonika Chandrakant Rathi, Sanjay Misra, Ricardo Colomo-Palacios, R. Adarsh, Lalita Bhanu Murthy Neti, Lov Kumar
2023	J	`jnl`	Machine learning with word embedding for detecting web-services anti-patterns. J. Comput. Lang. Lov Kumar, Sahithi Tummalapalli, Sonika Chandrakant Rathi, Lalita Bhanu Murthy Neti, Aneesh Krishna, Sanjay Misra
2023	B	`conf`	Software Engineering Comments Sentiment Analysis Using LSTM with Various Padding Sizes. ENASE Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni
2022	Misc	`conf`	An efficient approach to kNN algorithm for IoT devices. COMSNETS Bhavesh Gawri, Anirudh Kasturi, Lalita Bhanu Murthy Neti, Chittaranjan Hota
2022	J	`jnl`	BARLAT: A Nearly Unsupervised Approach for Aspect Category Detection. Neural Process. Lett. Avinash Kumar, Pranjal Gupta, Nisarg Kotak, Raghunathan Balan, Lalita Bhanu Murthy Neti, Aruna Malapati
2022	J	`jnl`	BILEAT: a highly generalized and robust approach for unified aspect-based sentiment analysis. Appl. Intell. Avinash Kumar, Raghunathan Balan, Pranjal Gupta, Lalita Bhanu Murthy Neti, Aruna Malapati
2022	—	`conf`	COVID-19 Article Classification Using Word-Embedding and Different Variants of Deep-Learning Approach. ICAI Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra
2022	—	`conf`	COVID-19 Article Classification Using Word-Embedding and Extreme Learning Machine with Various Kernels. AINA (3) Sanidhya Vijayvargiya, Lov Kumar, Aruna Malapati, Lalita Bhanu Murthy Neti, Aneesh Krishna
2022	J	`jnl`	Detection of web service anti-patterns using weighted extreme learning machine. Comput. Stand. Interfaces Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2022	—	`conf`	Predicting Cyber-Attacks on IoT Networks Using Deep-Learning and Different Variants of SMOTE. AINA (2) Bathini Sai Akash, Pavan Kumar Reddy Yannam, Bokkasam Venkata Sai Ruthvik, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2022	—	`conf`	Software Functional and Non-function Requirement Classification Using Word-Embedding. AINA (2) Lov Kumar, Siddarth Baldwa, Shreya Manish Jambavalikar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2022	C	`conf`	Software Requirements Classification using Deep-learning Approach with Various Hidden Layers. FedCSIS Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra
2022	C	`conf`	Software Sentiment Analysis using Deep-learning Approach with Word-Embedding Techniques. FedCSIS Venkata Krishna Chandra Mula, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2022	J	`jnl`	Telugu named entity recognition using bert. Int. J. Data Sci. Anal. SaiKiranmai Gorla, Sai Sharan Tangeda, Lalita Bhanu Murthy Neti, Aruna Malapati
2022	—	`conf`	Web Service Anti-patterns Prediction Using LSTM with Varying Embedding Sizes. AINA (1) Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti
2021	—	`conf`	A Novel Approach for the Detection of Web Service Anti-Patterns Using Word Embedding Techniques. ICCSA (7) Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Vipul Kocher, Srinivas Padmanabhuni
2021	—	`conf`	Adversarial and Auxiliary Features-Aware BERT for Sarcasm Detection. COMAD/CODS Avinash Kumar, Vishnu Teja Narapareddy, Pranjal Gupta, Veerubhotla Aditya Srikanth, Lalita Bhanu Murthy Neti, Aruna Malapati
2021	—	`conf`	An Empirical Analysis on the Prediction of Web Service Anti-patterns Using Source Code Metrics and Ensemble Techniques. ICCSA (7) Sahithi Tummalapalli, Juhi Mittal, Lov Kumar, Lalita Bhanu Murthy Neti, Santanu Kumar Rath
2021	C	`conf`	An Empirical Study on Application of Word Embedding Techniques for Prediction of Software Defect Severity Level. FedCSIS Lov Kumar, Mukesh Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni
2021	—	`conf`	An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models. AINA (2) Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2021	J	`jnl`	An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models. CoRR Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2021	—	`conf`	An Empirical Study to investigate the Effectiveness of Different Variants of SMOTE for Improving Web Service Anti-Patterns Prediction. ISEC Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Santanu Kumar Rath
2021	J	`jnl`	Aspect term extraction for opinion mining using a Hierarchical Self-Attention Network. Neurocomputing Avinash Kumar, Veerubhotla Aditya Srikanth, Vishnu Teja Narapareddy, Vamshi Aruru, Lalita Bhanu Murthy Neti, Aruna Malapati
2021	J	`jnl`	BERT Based Semi-Supervised Hybrid Approach for Aspect and Sentiment Classification. Neural Process. Lett. Avinash Kumar, Pranjal Gupta, Raghunathan Balan, Lalita Bhanu Murthy Neti, Aruna Malapati
2021	—	`conf`	Deep-Learning Approach with DeepXplore for Software Defect Severity Level Prediction. ICCSA (7) Lov Kumar, Triyasha Ghosh Dastidar, Lalita Bhanu Murthy Neti, Shashank Mouli Satapathy, Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni
2021	—	`conf`	Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell. ICCSA (9) Himanshu Gupta, Abhiram Anand Gulanikar, Lov Kumar, Lalita Bhanu Murthy Neti
2021	J	`jnl`	Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell. CoRR Himanshu Gupta, Abhiram Anand Gulanikar, Lov Kumar, Lalita Bhanu Murthy Neti
2021	—	`conf`	Predicting Software Defect Severity Level Using Deep-Learning Approach with Various Hidden Layers. ICONIP (6) Lov Kumar, Triyasha Ghosh Dastidar, Anjali Goyal, Lalita Bhanu Murthy Neti, Sanjay Misra, Vipul Kocher, Srinivas Padmanabhuni
2021	B	`conf`	Predicting Software Defect Severity Level using Sentence Embedding and Ensemble Learning. SEAA Lov Kumar, Prakhar Gupta, Lalita Bhanu Murthy Neti, Santanu Ku. Rath, Shashank Mouli Satapathy, Vipul Kocher, Srinivas Padmanabhuni
2020	—	`conf`	An Empirical Analysis on the Role of WSDL Metrics in Web Service Anti-Pattern Prediction. HPCC/DSS/SmartCity Sahithi Tummalapalli, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2020	J	`jnl`	Aspect-Based Sentiment Classification Using Interactive Gated Convolutional Network. IEEE Access Avinash Kumar, Vishnu Teja Narapareddy, Veerubhotla Aditya Srikanth, Lalita Bhanu Murthy Neti, Aruna Malapati
2020	J	`jnl`	Enhancing the Performance of Telugu Named Entity Recognition Using Gazetteer Features. Inf. SaiKiranmai Gorla, Lalita Bhanu Murthy Neti, Aruna Malapati
2020	J	`jnl`	Sarcasm Detection Using Multi-Head Attention Based Bidirectional LSTM. IEEE Access Avinash Kumar, Vishnu Teja Narapareddy, Veerubhotla Aditya Srikanth, Aruna Malapati, Lalita Bhanu Murthy Neti
2019	—	`conf`	A Novel Approach Towards Analysis of Attacker Behavior in DDoS Attacks. MLN Himanshu Gupta, Tanmay Girish Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti
2019	—	`conf`	An Empirical Analysis on Effectiveness of Source Code Metrics for Aging Related Bug Prediction. DMSVIVA Chinmay Hota, Lov Kumar, Lalita Bhanu Murthy Neti
2019	J	`jnl`	An EmpiricalAnalysis on Effectiveness of Source Code Metrics for Models Predicting Aging Related Bug. J. Vis. Lang. Comput. Chinmay Hota, Lov Kumar, Lalita Bhanu Murthy Neti
2019	—	`conf`	Android Malware Prediction Using Extreme Learning Machine with Different Kernel Functions. AINTEC Lov Kumar, Chinmay Hota, Arvind Mahindru, Lalita Bhanu Murthy Neti
2019	J	`jnl`	Estimation of maintainability parameters for object-oriented software using hybrid neural network and class level metrics. Int. J. Syst. Assur. Eng. Manag. Lov Kumar, Sangeeta Lal, Lalita Bhanu Murthy Neti
2019	—	`conf`	Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques. ISEC Lov Kumar, Shashank Mouli Satapathy, Lalita Bhanu Murthy Neti
2019	—	`conf`	Prediction of Refactoring-Prone Classes Using Ensemble Learning. ICONIP (5) Vamsi Krishna Aribandi, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna
2019	—	`conf`	SEDTWik: Segmentation-based Event Detection from Tweets Using Wikipedia. NAACL-HLT (Student Research Workshop) Keval Morabia, Lalita Bhanu Murthy Neti, Aruna Malapati, Surender Singh Samant
2018	C	`conf`	Bayesian Logistic Regression for software defect prediction (S). SEKE Jinu M. Sunil, Lov Kumar, Lalita Bhanu Murthy Neti
2018	J	`jnl`	Empirical Study on the Distribution of Bugs in Software Systems. Int. J. Softw. Eng. Knowl. Eng. C. K. Shriram, Muthukumaran Kasinathan, Lalita Bhanu Murthy Neti
2018	J	`jnl`	Multi-objective cross-version defect prediction. Soft Comput. Swapnil Shukla, T. Radhakrishnan, Muthukumaran Kasinathan, Lalita Bhanu Murthy Neti
2016	—	`conf`	On the Effectiveness of Cost Sensitive Neural Networks for Software Defect Prediction. SoCPaR Muthukumaran Kasinathan, Amrita Dasgupta, Shirode Abhidnya, Lalita Bhanu Murthy Neti
2016	—	`conf`	Software Defect Prediction Using Augmented Bayesian Networks. SoCPaR Muthukumaran Kasinathan, Suri Srinivas, Aruna Malapati, Lalita Bhanu Murthy Neti
2015	—	`conf`	Impact of Feature Selection Techniques on Bug Prediction Models. ISEC Muthukumaran Kasinathan, Akhila Rallapalli, Lalita Bhanu Murthy Neti
2015	J	`jnl`	Impact of restricted forward greedy feature selection technique on bug prediction. PeerJ Prepr. Muthukumaran Kasinathan, Lalita Bhanu Murthy Neti