Publications

Recent publications (2019-):
  • K. Dadhich, S. C. Daggubati, and J. Sreevalsan-Nair, "ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-based Computational Model" (to appear) in the Proceedings of the International Conference on Computational Science (ICCS) 2021, June 2021.
  • H. Ravindra, and J. Sreevalsan-Nair, "Integrating Population Surveys Using Spatial Visual Analytics: A Case Study on Nutrition and Health Indicators of Children under Five in India," (to appear) in the Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM 2021) (preprint)
  • K. Dadhich, S. C. Daggubati, and J. Sreevalsan-Nair, "BarChartAnalyzer: Digitizing Images of Bar Charts," (to appear) in the Proceedings of the International Conference on Image Processing and Vision Engineering (IMPROVE 2021) (preprint)
  • S. Singh, and J. Sreevalsan-Nair, "A Distributed System for Optimal Scale Feature Extraction and Semantic Classification of Airborne LiDAR Point Clouds," in Distributed Computing and Internet Technology, Proceedings of the 17th International Conference on Distributed Computing and Internet Technology (ICDCIT), January 2021, Sequence Number 18, Lecture Notes in Computer Science, Springer International Publishing. (doi)(preprint)
  • Jakher, A., and Sreevalsan-Nair, J., “Community Detection in Migration Flow Networks,” accepted for oral presentation at the Urban Complex Sysems 2020, a satellite event at the annual Conference on Complex Systems 2020 (CCS 2020), December 9-10, 2020.
  • R. R. Vangimalla and Sreevalsan-Nair J. “Comparing Community Detection Methods in Brain Functional Connectivity Networks,” in Balusamy S., Dudin A.N., Graña M., Mohideen A.K., Sreelaja N.K., Malar B. (eds) Computational Intelligence, Cyber Security and Computational Models. Models and Techniques for Intelligent Systems and Automation. ICC3 2019. Communications in Computer and Information Science, vol 1213. Springer, Singapore. (doi); preprint in bioRxiv (2020), February 2020, (doi).
  • S. Singh, and J. Sreevalsan-Nair, “A Distributed System for Multiscale Feature Extraction and Semantic Classification of Large-scale LiDAR Point Clouds,” to appear in the Proceedings of the 2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), pp 74-77, December 2020. (doi) (preprint)
  • Mehta, U. M., Shadakshari, D., Vani P., Naik, S. K., Kiran Raj, V., Vangimalla, R. R., Reddy, Y. C. J., Sreevalsan-Nair, J., and Bharath, R. D. “Case Report: Obsessive compulsive disorder in posterior cerebellar infarction - illustrating clinical and functional connectivity modulation using MRI-informed transcranial magnetic stimulation,” [version 2; peer review: 2 approved]. Wellcome Open Res 2020, 5:189. (doi)
  • J. Sreevalsan-Nair, K. Dadhich and S. C. Daggubati, “Tensor Fields for Data Extraction from Chart Images: Bar Charts and Scatter Plots,” accepted in Topological Methods in Visualization: Theory, Software and Applications, Ingrid Hotz, Talha Bin Masood, Filip Sadlo, and Julien Tierny (Eds.). Springer-Verlag, 2020; preprint in arxiv (2020), October 2020, https://arxiv.org/abs/2010.02319
  • J. Sreevalsan-Nair and P. Mohapatra, “Influence of Aleatoric Uncertainty on Semantic Classification of Airborne LiDAR Point Clouds: A Case Study with Random Forest Classifier Using Multiscale Features”, to appear in the Proceedings of the 2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2020), pp 1066-1070, September 2020. (doi)(preprint)
  • R. R. Vangimalla and J. Sreevalsan-Nair, “A Multiscale Consensus Method Using Factor Analysis to Extract Modular Regions in the Functional Brain Network,” in the Proceedings of the 42nd Annual Conferences of the IEEE Engineering in Medicine and Biology Society, pp 2824-2828, July 2020. (doi)(preprint with correction in axis labels in Fig 2(i))
  • J. Sreevalsan-Nair, R. R. Vangimalla, and P. R. Ghogale, “Influence of COVID-19 Transmission Stages and Demographics on Length of In-Hospital Stay in Singapore for the First 1000 Patients,” accepted as poster at the COVID-19 track at the 28 th Conference on Intelligent Systems for Molecular Biology (ISMB 2020), July 2020. (doi)
  • R. R. Vangimalla, and J. Sreevalsan-Nair, “Construction and Visualization of Diseasome of Lung Diseases Associated with COVID-19 from Co-association Networks of Multi-omics Data,” accepted as poster at the NetBio COSI track at the 28 th Conference on Intelligent Systems for Molecular Biology (ISMB 2020), July 2020. (doi)
  • R. R. Vangimalla, and J. Sreevalsan-Nair, “Consensus Methods for Network Analysis of Biomedical Data: Case Studies on Brain Functional Connectivity Network and Gene-Gene Association Networks,” presented at the doctoral colloquium at the 4th International Conference on Computational Intelligence and Networks (CINE 2020), February 2020. (pdf)
  • A. C. Victor, and J. Sreevalsan-Nair, “Scene Editing Using Synthesis of Three-Dimensional Virtual Worlds From Monocular Images of Urban Road Traffic Scenes,” accepted for spotlight session and as poster at the ACM SIGGRAPH European Conference on Visual Media Production (CVMP), December 2019.(pdf)(conference-proceedings)
  • R. R. Vangimalla, and J. Sreevalsan-Nair, “RadTrix: A Composite Hybrid Visualization for Unbalanced Bipartite Graphs in Biological Datasets,” accepted as poster in the 9th Eurographics Workshop on Visual Computing for Biology and Medicine, September 2019. (pdf)(conference-proceedings)