Publications

S V V S Narayana Pichika, Godhala Meganaa, Sabareesh Geetha Rajasekharan, Aruna Malapati, Multi-component fault classification of a wind turbine gearbox using integrated condition monitoring and hybrid ensemble method approach, Applied Acoustics (Elsevier) Q1 Journal (Accepted in May 2022, SCIE/SSCI indexed Impact Factor 2.639)
Kumar, Avinash and Gupta, Pranjal and Kotak, Nisarg and Balan, Raghunathan and Neti, Lalita Bhanu Murthy and Malapati, Aruna: BARLAT: A Nearly Unsupervised Approach for Aspect Category Detection, Neural Processing Letters, Springer,Accepted (SCIE/SSCI indexed, Impact Factor: 2.998 CORE-B)

Kumar, Avinash and Balan Raghunathan and Gupta, Pranjal and Neti, Lalita Bhanu Murthy and Malapati, Aruna "BILEAT: A Highly Generalized and Robust Approach for Unified Aspect-Based Sentiment Analysis", Applied Intelligence, Springer Jan 2022 (SCI indexed, Impact Factor: 5.086 CORE-B)

SaiKiranmai Gorla, Sai Sharan Tangeda, Lalita Bhanu Murthy Neti, Aruna Malapati,Telugu named entity recognition using bert, International Journal of Data Science and Analytics,Springer (Jan 2022) . https://doi.org/10.1007/s41060-021-00305-w

SRM Kumar, N Reddy, A Malapati, L Kumar, An ensemble model for sentiment classification on code-mixed data in Dravidian Languages, In the proceedings the 13th Annual Meeting of the Forum for Information Retrieval Evaluation ACM(2021) Virtual Event,13th-17th December 2021
Avinash Kumar, Aditya Srikanth Veerubhotla, Vishnu Teja Narapareddy, Vamshi Aruru, Lalita Bhanu Murthy Neti, Aruna Malapati "Aspect Term Extraction for Opinion Mining Using a Hierarchical Self-Attention Network", Neurocomputing, Elsevier Journal, (SCIE indexed, Impact Factor: 4.438)

Avinash Kumar, Pranjal Gupta, Raghunathan Balan, Lalita Bhanu Murthy Neti & Aruna Malapati, BERT Based Semi-Supervised Hybrid Approach for Aspect and Sentiment Classification, Neural Processing Letters (2021) Springer https://doi.org/10.1007/s11063-021-10596-6
Kumar, Avinash and Narapareddy, Vishnu Teja and Gupta, Pranjal and Srikanth, Veerubhotla Aditya and Neti, Lalita Bhanu Murthy and Malapati, Aruna: Adversarial and Auxiliary Features-Aware BERT for Sarcasm Detection. 8th ACM IKDD CODS and 26th COMAD, 2021, pp. 163-170. DOI:https://doi.org/10.1145/3430984.3431024S.

S. Samant, N. L. Bhanu Murthy, A. Malapati:” Categorization of Event Clusters from Twitter Using Term Weighting Schemes”, Informatica: An International Journal of Computing and Informatics(Accepted Jan 2021)

Kumar, Avinash and Narapareddy, Vishnu Teja and Srikanth,Veerubhotla Aditya and Malapati, Aruna and Neti, Lalita Bhanu Murthy: Sarcasm Detection Using Multi-Head Attention Based Bidirectional LSTM. IEEE Access vol 8: 6388-6397 (2020). DOI: 10.1109/ACCESS.2019.2963630.

Kumar, Avinash and Narapareddy, Vishnu Teja and Srikanth, Veerubhotla Aditya and Malapati, Aruna and Neti, Lalita Bhanu Murthy: Aspect-Based Sentiment Classification Using Interactive Gated Convolutional Network. IEEE Access vol 8: 22445-22453 (2020). DOI: 10.1109/ACCESS.2020.2970030.

SaiKiranmai Gorla, Lalita Bhanu Murthy Neti, and Aruna Malapati. Enhancing the Performance of Telugu Named Entity Recognition Using Gazetteer Features. Information 11.2 (2020): 82.

K. Morabia, N.L. Bhanu Murthy, A. Malapati, S. S. Samant, “SEDTWik: Segmentation-based Event Detection from Tweets Using Wikipedia”, 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop (NAACL-HLT (SRW)), June 2nd to June 7th, 2019 CORE A

S. S. Samant, N. L. Bhanu Murthy, A. Malapati: Improving Term Weighting Schemes for Short Text Classification in Vector Space Model. IEEE Access vol 7: 166578-166592 (2019). DOI:10.1109/ACCESS.2019.2953918

Saikiranmai Gorla, Sriharshitha Velivelli, Dipak Kumar Satpathi, N L Bhanu Murthy, Aruna Malapati, “Named Entity Recognition using Part-of-Speech Rules for Telugu”, Proceedings of the 6th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2018), NIT Silchar 04 - 06 June 2018

Aniketh Janardhan Reddy, Monica Adusumilli,Sai Kiranmai Gorla, Lalita Bhanu Murthy Neti and Aruna Malapati, “Named Entity Recognition for Telugu using LSTM-CRF”, Proceedings of the 11th edition of the Language Resources and Evaluation Conference (LREC) 2018, Miyazaki, Japan 7-12 May 2018

SaiKiranmai Gorla, Sriharshitha Velivelli,N. L. Bhanu Murthy,Aruna Malapati, “Named Entity Recognition for Telugu News Articles using Naïve Bayes Classifier”,Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval co-located with 40th European Conference on Information Retrieval (ECIR 2018)"Grenoble, France March 26, 2018

Surender Samant, Aruna Malapati, "CapAct: A Wordnet-based Summarizer for Real-World Events from Microblogs", 14th International Conference on Distributed Computing and Internet Technology (ICDCIT-2018)11th – 13th January, 2018. KIIT University, Bhubaneswar, Odisha. India

Surender Samant, N.L. Bhanu Murthy and Aruna Malapati, "A Novel Method for Summarization and Evaluation of Messages from Twitter", Ninth International Conference on Advances in Pattern Recognition (ICAPR 2017), ISI Bangalore, India . December 27-30, 2017

Prafulla Kalapatapu, Tejas N.N, Siddharth Dalmia, Prakhar Gupta, Bhaswant Inguva, Aruna Malapati, A novel similarity measure: Voronoi Audio Similarity for Genre classification, International Journal of Intelligent Systems Technologies and Applications 2017 Vol.16 No.4 Inderscience Publishers

Tanmaya Shekhar Dabral, Amala Sanjay Deshmukh and Dr. Aruna Malapati, “A Multi Scale Convolutional Neural Network Architecture For Music Auto-Tagging” Soft Computing for Problem Solving - SocProS 2017, December 23-24, 2017, Indian Institute of Technology Bhubaneswar

SaiKiranmai G and Aruna M “A Comparative Study of Named Entity Recognition for Telugu”, Forum for Information Retrieval Evaluation 2017 (FIRE 2017) Indian Institute of Science, Bangalore, ACM.

SaiKiranmai Gorla, Aditya Chandrashekhar, N L Bhanu Murthy, and Aruna M “TelNEClus:Telugu Named Entity Clustering using Semantic Similarity.” International conference on Computational Intelligence 2017(ICCI 2017) 6-8th Dec 2017 IIT Kanpur

Surender Samant, N.L. Bhanu Murthy and Aruna Malapati, BIGRAM-BASED FEATURES FOR REAL-WORLD EVENT IDENTIFICATION FROM MICROBLOGS, The Eight International Conference on Computing, Communication and Networking Technologies (8th ICCCNT 2017)

Muthukumaran Kasinathan, Srinivas Suri, Aruna Malapati and Lalita Bhanu Murthy Neti ,Software Defect Prediction using Augmented Bayesian Networks, 8th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016) VIT University. Vellore, India December 19-21, 2016.

Prafulla Kalapatapu, Srihita Goli, Prasanna Arthum, and Aruna Malapati. A Study on Feature Selection and Classification Techniques of Indian Music. Procedia Comput. Sci. 98, C (October 2016), 125-131 DOI: https://doi.org/10.1016/j.procs.2016.09.020

PraveenVenkateswaran, Aruna Malapati, Maitreya Natu ,Vaishali Sadaphal,Towards Next-Generation Alert Management of Data Centers, COMSNETS 2016.

P. Purkyastha, A. Rallapalli, N.L. Bhanu Murthy, A. Malapati, P. Yogeeswari, D. Sriram, Effect of feature selection on kinase classification models. SpringerBriefs in Applied Sciences & Technology, 2015, 6, 81-86.

P. Purkayastha, A. Rallapalli, N.L. Bhanu Murthy, A. Malapati, P. Yogeeswari, D. Sriram, EFFECT OF FEATURE SELECTION ON KINASE CLASSIFICATION MODELS in Computational Intelligence in Medicial Informatics, Springer Singapore, 2015.

P. Purkayastha, A. Malapati, P. Yogeeswari, D. Sriram, A review on GABA/Glutamate pathway for therapeutic intervention of ASD and ADHD, Curr. Med. Chem. 2015

P. Purkayastha, R. Alokam, A. Malapati, D. Sriram, P. Yogeeswari, Structural models for the design of PKMzeta inhibitors with neurobiological indications. Molecular Informatics 2015, 34, 665-678

Krishnamurthy Padmanabhan, Tejas Nagendra, Dr. Aruna Malapati, Suresh Gokarakonda, Video Analytics using Apache Spark, Third International Conference On Business Analytics and Intelligence Indian Institute of Management Bangalore 17th to 19th December 2015.

Ms. Prafulla Kalapatapu, U.Dubey, Aruna.M. "Playlist generation based on user perception of songs" IEEE International Conference on Signal processing and communication engineering systems (SPACES’ 15), January , 2015, KLU.

Pushkar Gupta, Aruna Malapati, Maitreya Natu ,Vaishali Sadaphal Toward Predictable Batch Systems Using What-If Analysis, 21st annual IEEE International Conference on High Performance Computing (HiPC 2014) ,GoaIndia,Dec 2014

PraveenVenkateswaran, Aruna Malapati, Maitreya Natu ,Vaishali Sadaphal , Smart Triggers: Using Analytics for Smart Alerting, 21st annual IEEE International Conference on High Performance Computing (HiPC 2014) ,GoaIndia,Dec 2014

Aruna Malapati,N.L.Bhanu Murthy, “Performance of students across assessment methods and courses using Correlation analysis” IEEE International Conference on MOOC, Innovation and Technology in Education (MITE) 2013

MuthukumaranKasinathan, LalitaBhanu Murthy Neti, Karthik Reddy Gakkidi,ArunaMalapati,” Comparative study on effectiveness of standard bug prediction approaches.” IBM Collaborative Academia Research Exchange (I-CARE 2013)

Ms.PrafullaKalapatapu, Aruna.M, “Smart Playlist generation using data mining techniques”. International Conference on Advanced Computing, Networking and Security (ADCONS’ 11), LNCS 7135, p. 217, 2012.

M. Sreevani, Aruna Malapati, O. YaswanthBabu, “Web Index Recommendations”, IEEE International Conference on Knowledge Engineering 2011 (ICKE-2011)

M. Sreevani, M. Aruna, S. Rajashree, O.YaswanthBabu,”A Hybrid Intelligence system for Web Mining”, International Journal of Computer Engineering & Computer Applications, Volume No 1, Issue No 1, page no 6-12 , Jan – March 2010.

Aruna Ranganath, “A novel algorithm for small molecule docking”, International Journal of Computer Engineering & Computer Applications, Volume No 1, Issue No 1, page no 37-45, March 2010.

Aruna Ranganath,”Optimization Techniques For Spatiotemporal Data”, International Journal On Computer Engineering And Information Technology, Volume 20, No 03, Page no 33-39, 2009.

Aruna Ranganath, K.C.Shet, N.Vidyavathi, “Biology: Inspiration to Computing and Networking”, Proceedings of International Conference on Systemics, Cybernetics and informatics- ICSCI-2008,January 02-05, 2008,India.

Ranganath A, Shet KC, Vidyavathi N. Efficient shape descriptors for feature extraction in 3D protein structures. In Silico Biol. 2007;7(2):169-174. PMID: 17688442.

Aruna Ranganath, K.C.Shet, N.Vidyavathi, “Application of Wavelets in bioinformatics”, Bioinformatics Trends, India, Volume I Issue I Article id = 205,2007

Aruna Ranganath, Prof D.S.PrakashRao, “A Data Ware House Design for Clinical Data”, Proceedings of 70th Annual General Meeting Institution of Engineers AP State Chapter 2007.

Ranganath, Aruna, Shet, K.C. and Vidyavathi, N.. "3D image and graph based Computation of Protein Surface" Journal of Integrative Bioinformatics (JIB), vol. 3, no. 1, 2006, pp. 56-62. https://doi.org/10.2390/biecoll-jib-2006-22

Aruna Ranganath, K.C.Shet, N.Vidyavathi, “Who says computing is the destiny?”, Proceedings of National Conference on Ubiquitous Computing, 2006

Aruna Ranganath, K.C.Shet, N.Vidyavathi, “Approaches to Molecular Docking”, Bioinformatics India, Volume III issue III page no 17-21, 2005

Aruna Ranganath, K.C.Shet, N.Vidyavathi, “Data Mining Approaches for In Silicon Drug Design”, Proceedings of International Conference on Systemics Cybernetics and informatics ICSCI-2005, January 05-09, 2005,India

Aruna Ranganath, K.C.Shet, N.Vidyavathi, “Biosensors: for future Drug Design”, Bioinformatics India, Volume III issue II page no 105 – 107, 2004

Aruna Ranganath, K.C.Shet, N.Vidyavathi, “Indexing and Searching methods in Biological Databases”, Proceedings of International Conference on Communication and Networking 2004.

Aruna Ranganath, K.C.Shet, N.Vidyavathi, “Biometric Authentication using PKI in Distributed Computing Environment”, Proceedings of National Conference on Distributed Computing, (NCDC-2004) 5th-6th March,2004,INDIA.

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