Jaya Sreevalsan-Nair

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 28

Top Topics

Visual Analytics

Feature Extraction

Top Venues

VISIGRAPP (3: IVAPP)

SN Comput. Sci.

Publications

Sin Liang Lim, Jaya Sreevalsan-Nair, B. S. Daya Sagar
Multispectral data mining: A focus on remote sensing satellite images. WIREs Data. Mining. Knowl. Discov. 14 (2) (2024)
Jaya Sreevalsan-Nair
On Metavisualization and Properties of Visualization. VISIGRAPP (3: IVAPP) (2023)
Harshitha Ravindra, Jaya Sreevalsan-Nair
A Methodology for Integrating Population Health Surveys Using Spatial Statistics and Visualizations for Cross-Sectional Analysis. SN Comput. Sci. 4 (3) (2023)
Beryl Gnanaraj, Jaya Sreevalsan-Nair
EyeExplore: An Interactive Visualization Tool for Eye-Tracking Data for Novel Stimulus-based Analysis. ETRA (2023)
Dhvani Katkoria, Jaya Sreevalsan-Nair
RoSELS: Road Surface Extraction for 3D Automotive LiDAR Point Cloud Sequence. DeLTA (2022)
Harshitha Ravindra, Jaya Sreevalsan-Nair
Composition of Geospatial Visualizations for Scale-aware Views of Multiple Outcome Variables in Population Surveys. IV (2022)
Jaya Sreevalsan-Nair, Astha Jakher
CAP-DSDN: Node Co-association Prediction in Communities in Dynamic Sparse Directed Networks and a Case Study of Migration Flow. KDIR (2022)
Siri Chandana Daggubati, Jaya Sreevalsan-Nair, Komal Dadhich
BarChartAnalyzer: Data Extraction and Summarization of Bar Charts from Images. SN Comput. Sci. 3 (6) (2022)
Siri Chandana Daggubati, Jaya Sreevalsan-Nair
ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects. ICCS (3) (2022)
Satendra Singh, Jaya Sreevalsan-Nair
Adaptive Multiscale Feature Extraction in a Distributed System for Semantic Classification of Airborne LiDAR Point Clouds. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Dhvani Katkoria, Jaya Sreevalsan-Nair
Evaluating and Improving RoSELS for Road Surface Extraction from 3D Automotive LiDAR Point Cloud Sequences. DeLTA (Selected Papers) (2022)
Satendra Singh, Jaya Sreevalsan-Nair
A Distributed System for Optimal Scale Feature Extraction and Semantic Classification of Large-Scale Airborne LiDAR Point Clouds. ICDCIT (2021)
Jaya Sreevalsan-Nair, Pragyan Mohapatra, Satendra Singh
IMGD: Image-based Multiscale Global Descriptors of Airborne LiDAR Point Clouds Used for Comparative Analysis. STAG (2021)
Komal Dadhich, Siri Chandana Daggubati, Jaya Sreevalsan-Nair
BarChartAnalyzer: Digitizing Images of Bar Charts. IMPROVE (2021)
Harshitha Ravindra, Jaya Sreevalsan-Nair
Integrating Population Surveys using Spatial Visual Analytics: A Case Study on Nutrition and Health Indicators of Children under Five in India. GISTAM (2021)
Ankita Christine Victor, Jaya Sreevalsan-Nair
Building 3D Virtual Worlds from Monocular Images of Urban Road Traffic Scenes. ISVC (2) (2021)
Reddy Rani Vangimalla, Jaya Sreevalsan-Nair
HCNM: Heterogeneous Correlation Network Model for Multi-level Integrative Study of Multi-omics Data for Cancer Subtype Prediction. EMBC (2021)
Komal Dadhich, Siri Chandana Daggubati, Jaya Sreevalsan-Nair
ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-Based Computational Model. ICCS (5) (2021)
Reddy Rani Vangimalla, Jaya Sreevalsan-Nair
A Multiscale Consensus Method Using Factor Analysis to Extract Modular Regions in the Functional Brain Network. EMBC (2020)
Jaya Sreevalsan-Nair, Pragyan Mohapatra
Influence of Aleatoric Uncertainty on Semantic Classification of Airborne Lidar Point Clouds: A Case Study with Random Forest Classifier Using Multiscale Features. IGARSS (2020)
Jaya Sreevalsan-Nair, Pragyan Mohapatra
Augmented Semantic Signatures of Airborne LiDAR Point Clouds for Determining Change in Time-varying Data. CoRR (2020)
Jaya Sreevalsan-Nair, Komal Dadhich, Siri Chandana Daggubati
Tensor Fields for Data Extraction from Chart Images: Bar Charts and Scatter Plots. CoRR (2020)
Nitya Hariharan, P. Chitra, Jaya Sreevalsan-Nair
HIPC 2019 Women in Computing Workshop. HiPC Workshops (2019)
Jaya Sreevalsan-Nair, Akshay Jindal, Beena Kumari
Contour Extraction in Buildings in Airborne LiDAR Point Clouds Using Multiscale Local Geometric Descriptors and Visual Analytics. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (7) (2018)
Kuruvilla Lukose, Shivam Agarwal, Vidyashankar Nagesha Rao, Jaya Sreevalsan-Nair
Design Study for Creating Pathfinder: A Visualization Tool for Generating Software Test Plans using Model based Testing. VISIGRAPP (3: IVAPP) (2018)
Jaya Sreevalsan-Nair, Akshay Jindal
Using gradients and tensor voting in 3D local geometric descriptors for feature detection in airborne lidar point clouds in urban regions. IGARSS (2017)
Jaya Sreevalsan-Nair, Shivam Agarwal
NodeTrix-CommunityHierarchy: Techniques for Finding Hierarchical Communities for Visual Analytics of Small-world Networks. VISIGRAPP (3: IVAPP) (2017)
Shivam Agarwal, Amit Tomar, Jaya Sreevalsan-Nair
NodeTrix-Multiplex: Visual Analytics of Multiplex Small World Networks. COMPLEX NETWORKS (2016)
Beena Kumari, Jaya Sreevalsan-Nair
An interactive visual analytic tool for semantic classification of 3D urban LiDAR point cloud. SIGSPATIAL/GIS (2015)
Beena Kumari, Avijit Ashe, Jaya Sreevalsan-Nair
Remote Interactive Visualization of Parallel Implementation of Structural Feature Extraction of Three-dimensional Lidar Point Cloud. BDA (2014)
Saima Parveen, Jaya Sreevalsan-Nair
Visualization of Small World Networks Using Similarity Matrices. BDA (2013)
Akshay Narayan, Jaya Sreevalsan-Nair, Kelly P. Gaither, Bernd Hamann
Isosurface Extraction from Hybrid Unstructured Grids Containing Pentahedral Elements. GRAPP/IVAPP (2012)
Weijia Xu, Jaya Sreevalsan-Nair
Visual Representation of Multiple Associations in Data using Constrained Graph Layout. TPCG (2009)
Jaya Sreevalsan-Nair, Lars Linsen, Bernd Hamann
Topologically Accurate Dual Isosurfacing Using Ray Intersection. J. Virtual Real. Broadcast. 4 (2007)
Jaya Sreevalsan-Nair, Erwin Van Nieuwenhuyse, Ingrid Hotz, Lars Linsen, Bernd Hamann
An interactive visual exploration tool for Northern California's water-monitoring network. Visualization and Data Analysis (2007)
Jaya Sreevalsan-Nair, Meike Verhoeven, David L. Woodruff, Ingrid Hotz, Bernd Hamann
Human-Guided Enhancement of a Stochastic Local Search: Visualization and Adjustment of 3D Pheromone. SLS (2007)
Jaya Sreevalsan-Nair, Bernd Hamann, Lars Linsen
Using ray intersection for dual isosurfacing. GRAPP (2006)
David S. Thompson, Raghu Machiraju, Ming Jiang, Jaya Sreevalsan-Nair, Gheorghe Craciun, Satya Sridhar Dusi Venkata
Physics-based feature mining for large data exploration. Comput. Sci. Eng. 4 (4) (2002)