• "MS-CheXNet: An Explainable and Lightweight Multi-scale Dilated Network with Depthwise Separable Convolution for Prediction of Pulmonary Abnormalities in Chest Radiographs", Shashank Shetty; Ananthanarayana V S.; Ajit Mahale, Multidisciplinary Digital Publishing Institute (MDPI) Mathematics (SCIE-Q1 Journal), Special Issue: Deep Learning and Machine Learning Mathematical Models for Computer Assisted Diagnostic Systems (ISSN 2227-7390), 27 September 2022 (In press)
• "Trust based Data gathering in Wireless Sensor Networks" Karthik N and V. S. Ananthanarayana. International Springer Journal on Wireless Personnel Communications, 2019 (In Press)
• "WordCode using WordTrie" Sakthi Murugan R., V.S. Ananthanarayana. Journal of Kind Saud University – Computer and Information Sciences (Elsevier Publications)
• “Dynamic ranking‐based MapReduce job scheduler to exploit heterogeneous performance in a virtualized environment” J. Rathinaraja, V. S. Ananthanarayana, and Anand Paul. The Journal of Supercomputing (Springer Journal)
• “Fine‑grained data‑locality aware MapReduce job scheduler in a virtualized environment” J. Rathinaraja, V. S. Ananthanarayana, and Anand Paul. Journal of Ambient Intelligence and Humanized Computing (Springer), 2020. (SCIE and Scopus,  IF: 1.9)
• “Improving performance of MapReduce Scheduler for Heterogeneous Workloads in a Heterogeneous Environment” J. Rathinaraja, V. S. Ananthanarayana, and Anand Paul. Concurrency and Computation: Practice and Experience (Wiley), 2019. (SCIE and Scopus, IF: 1.1)

Conference Publications (selected, recent)

• "Multimedia Document Mining using Sequential Multimedia Feature Patterns", Pushpalatha K, Ananthanarayana V.S., 2020 IEEE International Conference on Multimedia Big Data (BigMM), New Delhi, Sept 24 - 26, 2020, [DOI: 10.1109/BigMM50055.2020.00040]
• “Medical Knowledge-based Deep Learning Framework for Disease Prediction on Unstructured Radiology Free-Text Reports under Low Data condition”, Shashank Shetty, Ananthanarayana V S., Ajit Mahale, 21st International Conference on Engineering Applications of Neural Networks, Porto Carras Grand Resort, Halkidiki, Greece, 5 – 7 June, 2020, [DOI: 10.1007/978-3-030-48791-1_27]
• “Benchmarking Shallow and Deep Neural Networks for Contextual Representation of Social Data”, Reshma Unnikrishnan, Sowmya S Kamath and Ananthanarayana VS
  INDICON 2021, 19-21 December, 2021, IIT Guwahati, India, [DOI: 10.1109/INDICON52576.2021.9691551]
• “Population-centric Profiling with Social Data for Large-scale Epidemiological studies”, Reshma Unnikrishnan, Sowmya Kamath, V S Ananthanarayana, 9th ACM IKDD CODS and 27th COMAD, 5th Joint International Conference on Data Science & Management of Data, January 8 - 10, 2022, (CODS-COMAD 2022) Bangalore, India, [DOI: 10.1145/3493700.3493752]
• “NITK-UoH: Tamil-Telugu Machine Translation Systems for the WMT21 Similar Language Translation Task”, Richard Saldanha, Ananthanarayana V. S, Anand Kumar M, Parameswari Krishnamurthy Proceedings of the Sixth Conference on Machine Translation, Nov 2021, 299-303
• “Yatch : Leaderless, Fault Tolerant Consensus Protocol”, Mohd Asif Khan Khaishagi, Ananthanarayana V.S, The 27th IEEE International Conference on Automation and Computing (ICAC2022), Bristol 1-3 Sep, 2022.
• "HaleLab_NITK@SMM4H'22: Adaptive Learning Model for Effective Detection, Extraction and Normalization of Adverse Drug Events from Social Media Data", Reshma Unnikrishnan, Sowmya Kamath S and Ananthanarayana V. S., Social Media Mining for Health 2022 (#SMM4H),
• “Gaining Actionable Insights in COVID-19 Dataset using Word-Embeddings”, Rajat Aayush Jha, Ananthanarayana V. S, Pattern Recognition and Data Analysis with Applications, pp 459–466, Lecture Notes in Electrical Engineering, vol 888. Springer, Singapore. [3rd International Conference of Machine Intelligence and Signal Processing (MIPS -2021), 23 – 25, September 2021, NIT Arunachal Pradesh]
• “Fake News Detection using Genetic Algorithm based Feature Selection and Ensemble Learning”, Nikitha K M, Ryan Rozario, Chinmayan Pradeep, Ananthanarayana V.S
  Advanced Machine Intelligence and Signal Processing,  pp 365–377, Lecture Notes in Electrical Engineering book series (LNEE,volume 858), 26 June 2022, [3rd International Conference of Machine Intelligence and Signal Processing (MISP -2021), 23 – 25, September 2021, NIT Arunachal Pradesh]
• "A Trust Model for Lightweight Semantic Annotation of Sensor Data in Pervasive Environment" Karthik N and Ananthanarayana V.S. 2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS), 6-8 June 2018,Singapore, pg: 28 - 33.
• "Trust Based Semantic Architecture for Pervasive Environments" Karthik N and Ananthanarayana V.S. 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018. 
• "Dynamic Performance Aware Reduce Task Scheduling in MapReduce on Virtualized Environment" Rathinaraja J, Ananthanarayana V.S. IEEE ACIS 16th SERA (International Conference on Software Engineering, Management, and Applicatins), June 13 - 15, 2018, Kunming, China, pg 222 - 218.
• "MapReduce Scheduler to Minimize the Size of Intermediate Data in Shuffle Phase" Rathinaraja J, Ananthanarayana V.S. 18th International Conference on Computer and Information Science (ICIS 2019), June 17-19, 2019, Beijing, China
• "NPRank: Nexus based Predicate Ranking of Linked Data" Sakthi Murugan R., Ananthanarayana V.S. 5th International Conference on Data Science and Engineering (ICDSE 2019)  Indian Institute of Technology Patna (26 to 28 September 2019)
• “Medical Knowledge-based Deep Learning Framework for Disease Prediction on Unstructured Radiology Free-Text Reports under Low Data condition” Shashank Shetty, Ananthanarayana V S., Ajit Mahale. 21st International Conference on Engineering Applications of Neural Networks, Porto Carras Grand Resort, Halkidiki, Greece, 5 – 7 June, 2020

PLEASE REFER TO THE RESUME FOR THE COMPLETE LIST OF PUBLICATIONS.