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2020 – today
- 2024
[c17]Subhankar Ghosh, Arun Sharma, Jayant Gupta, Shashi Shekhar:
Towards Statistically Significant Taxonomy Aware Co-Location Pattern Detection (Short Paper). COSIT 2024: 25:1-25:11- [c16]Subhankar Ghosh
, Arun Sharma, Jayant Gupta, Aneesh Subramanian, Shashi Shekhar:
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling: A Summary of Results. SIGSPATIAL/GIS 2024: 372-383 - [c15]Majid Farhadloo, Arun Sharma, Jayant Gupta, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar:
Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data. SDM 2024: 616-624 - [i11]Majid Farhadloo, Arun Sharma, Jayant Gupta, Alexey A. Leontovich, Svetomir N. Markovic, Shashi Shekhar:
Towards Spatially-Lucid AI Classification in Non-Euclidean Space: An Application for MxIF Oncology Data. CoRR abs/2402.14974 (2024) - [i10]Subhankar Ghosh, Arun Sharma, Jayant Gupta, Shashi Shekhar:
Towards Statistically Significant Taxonomy Aware Co-location Pattern Detection. CoRR abs/2407.00317 (2024) - [i9]Subhankar Ghosh, Jayant Gupta, Arun Sharma, Shuai An, Shashi Shekhar:
Reducing False Discoveries in Statistically-Significant Regional-Colocation Mining: A Summary of Results. CoRR abs/2407.02536 (2024) - [i8]Subhankar Ghosh, Arun Sharma, Jayant Gupta, Aneesh Subramanian, Shashi Shekhar:
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling. CoRR abs/2410.15628 (2024) - 2023
- [c14]Subhankar Ghosh, Jayant Gupta, Arun Sharma, Shuai An, Shashi Shekhar:
Reducing False Discoveries in Statistically-Significant Regional-Colocation Mining: A Summary of Results. GIScience 2023: 3:1-3:18 - [c13]Jayant Gupta, Shuai An, Shashi Shekhar:
Towards Responsible Spatial Data Science and Geo-AI. IC3 2023: 545-551 - [i7]Hyeonjung (Tari) Jung, Jayant Gupta, Bharat Jayaprakash, Matthew Eagon, Harish Panneer Selvam, Carl Molnar, William F. Northrop, Shashi Shekhar:
A Survey on Solving and Discovering Differential Equations Using Deep Neural Networks. CoRR abs/2304.13807 (2023) - [i6]Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian:
Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-variability-aware Approach. CoRR abs/2310.15179 (2023) - 2022
- [c12]Arun Sharma, Jayant Gupta, Shashi Shekhar:
Abnormal Trajectory-Gap Detection: A Summary (Short Paper). COSIT 2022: 26:1-26:10 - [c11]Subhankar Ghosh, Jayant Gupta, Arun Sharma, Shuai An, Shashi Shekhar:
Towards geographically robust statistically significant regional colocation pattern detection. GeoSim@SIGSPATIAL 2022: 11-20 - [c10]Arun Sharma, Jayant Gupta, Subhankar Ghosh:
Towards a tighter bound on possible-rendezvous areas: preliminary results. SIGSPATIAL/GIS 2022: 97:1-97:11 - [c9]Jayant Gupta, Arun Sharma:
Mining taxonomy-aware colocations: a summary of results. SIGSPATIAL/GIS 2022: 98:1-98:11 - [i5]Arun Sharma, Majid Farhadloo, Yan Li, Aditya Kulkarni, Jayant Gupta, Shashi Shekhar:
Understanding COVID-19 Effects on Mobility: A Community-Engaged Approach. CoRR abs/2201.06955 (2022) - [i4]Arun Sharma, Jayant Gupta, Subhankar Ghosh:
Towards a Tighter Bound on Possible-Rendezvous Areas: Preliminary Results. CoRR abs/2206.12756 (2022) - 2021
- [j2]Jayant Gupta, Carl Molnar, Yiqun Xie, Joe Knight, Shashi Shekhar:
Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach. ACM Trans. Intell. Syst. Technol. 12(6): 76:1-76:21 (2021) - [c8]Arun Sharma, Xun Tang, Jayant Gupta, Majid Farhadloo, Shashi Shekhar:
Analyzing Trajectory Gaps for Possible Rendezvous: A Summary of Results. GIScience (I) 2021: 13:1-13:16 - [c7]Jayant Gupta, Alexander Long, Corey Kewei Xu, Tian Tang, Shashi Shekhar:
Spatial Dimensions of Algorithmic Transparency: A Summary. SSTD 2021: 116-125 - [i3]Jayant Gupta, Carl Molnar, Gaoxiang Luo, Joe Knight, Shashi Shekhar:
Towards Comparative Physical Interpretation of Spatial Variability Aware Neural Networks: A Summary of Results. CoRR abs/2110.15866 (2021) - 2020
- [i2]Jayant Gupta, Yiqun Xie, Shashi Shekhar:
Towards Spatial Variability Aware Deep Neural Networks (SVANN): A Summary of Results. CoRR abs/2011.08992 (2020)
2010 – 2019
- 2019
- [j1]Abdeltawab M. Hendawi, Jayant Gupta, Jiayi Liu, Ankur Teredesai, Naveen Ramakrishnan, Mohak Shah, Shaker H. Ali El-Sappagh, Kyung-Sup Kwak, Mohamed H. Ali:
Benchmarking large-scale data management for Internet of Things. J. Supercomput. 75(12): 8207-8230 (2019) - [c6]Xun Tang, Jayant Gupta, Shashi Shekhar:
Linear Hotspot Discovery on All Simple Paths: A Summary of Results. SIGSPATIAL/GIS 2019: 476-479 - [r1]Shashi Shekhar, Jayant Gupta:
Spatial Graph Big Data. Encyclopedia of Big Data Technologies 2019 - 2018
- [c5]Abdeltawab M. Hendawi, Jayant Gupta, Jiayi Liu, Ankur Teredesai, Naveen Ramakrishnan, Mohak Shah, Mohamed H. Ali:
Distributed NoSQL Data Stores: Performance Analysis and a Case Study. IEEE BigData 2018: 1937-1944 - [c4]Yiqun Xie, Jayant Gupta, Yan Li, Shashi Shekhar:
Transforming Smart Cities with Spatial Computing. ISC2 2018: 1-9 - 2017
- [c3]Abdeltawab M. Hendawi, Jayant Gupta, Youying Shi, Hossam Fattah, Mohamed H. Ali:
The Microsoft Reactive Framework Meets the Internet of Moving Things. ICDE 2017: 1150-1161 - 2016
- [c2]Youying Shi, Abdeltawab M. Hendawi, Jayant Gupta, Hossam Fattah, Mohamed H. Ali:
RxSpatial: the reactive spatial library. SIGSPATIAL/GIS 2016: 64:1-64:4 - 2013
- [c1]Sarvesh Ranade, Jayant Gupta, Vasudeva Varma, Radhika Mamidi:
Online debate summarization using topic directed sentiment analysis. WISDOM 2013: 7:1-7:6 - 2011
- [i1]Vasudeva Varma, Sudheer Kovelamudi, Arpit Sood, Jayant Gupta, Harshit Jain, Pattisapu Nikhil Priyatam, Aditya Mogadala, Srikanth Reddy Vaddepally:
IIIT Hyderabad in Summarization and Knowledge Base Population at TAC 2011. TAC 2011
Coauthor Index
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