default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDShashi Shekhar
Person information
- affiliation: University of Minnesota, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j109]Hemavathi M
, Eldho Varghese, Shashi Shekhar, Seema Jaggi, Arpan Bhowmik, T. V. Sathianandan:
Run order consideration for sequential third order rotatable designs. Commun. Stat. Simul. Comput. 53(2): 1068-1081 (2024)- [j108]Kamal Garg, Shashi Shekhar:
Optimizing test case prioritization through ranked NSGA-2 for enhanced fault sensitivity analysis. Innov. Syst. Softw. Eng. 20(3): 307-328 (2024) - [j107]Manoj Kumar, Shashi Shekhar:
XVC scheme-based secret sharing model with hybrid optimization algorithm for visual cryptography. Signal Image Video Process. 18(S1): S309-S323 (2024) - [c177]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 - [c176]Zhe Jiang, Liang Zhao, Xun Zhou, Junbo Zhang, Shashi Shekhar, Jieping Ye:
The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24). KDD 2024: 6722-6723 - [c175]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 - [e16]Shashi Shekhar, Vagelis Papalexakis, Jing Gao, Zhe Jiang, Matteo Riondato:
Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024, Houston, TX, USA, April 18-20, 2024. SIAM 2024, ISBN 978-1-61197-803-2 [contents] - [i24]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) - [i23]Arun Sharma, Shashi Shekhar:
Physics-Guided Abnormal Trajectory Gap Detection. CoRR abs/2403.06268 (2024) - [i22]Subhankar Ghosh, Arun Sharma, Jayant Gupta, Shashi Shekhar:
Towards Statistically Significant Taxonomy Aware Co-location Pattern Detection. CoRR abs/2407.00317 (2024) - [i21]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) - 2023
- [j106]Yiqun Xie, Shashi Shekhar, Yan Li:
Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey. ACM Comput. Surv. 55(2): 36:1-36:38 (2023) - [j105]Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu:
A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. 46(4): 4-17 (2023) - [c174]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 - [c173]Jayant Gupta, Shuai An, Shashi Shekhar:
Towards Responsible Spatial Data Science and Geo-AI. IC3 2023: 545-551 - [c172]Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar:
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. SDM 2023: 838-846 - [c171]Mingzhou Yang, Bharat Jayaprakash, Matthew Eagon, Hyeonjung (Tari) Jung, William F. Northrop, Shashi Shekhar:
Data Mining Challenges and Opportunities to Achieve Net Zero Carbon Emissions: Focus on Electrified Vehicles. SDM 2023: 953-956 - [e15]Shashi Shekhar, Zhi-Hua Zhou, Yao-Yi Chiang, Gregor Stiglic:
Proceedings of the 2023 SIAM International Conference on Data Mining, SDM 2023, Minneapolis-St. Paul Twin Cities, MN, USA, April 27-29, 2023. SIAM 2023, ISBN 978-1-61197-765-3 [contents] - [i20]Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar:
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. CoRR abs/2301.05739 (2023) - [i19]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) - [i18]Majid Farhadloo, Arun Sharma, Shashi Shekhar, Svetomir N. Markovic:
Spatial Computing Opportunities in Biomedical Decision Support: The Atlas-EHR Vision. CoRR abs/2305.09675 (2023) - [i17]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
- [j104]Rakesh Kumar, Shashi Shekhar, Hitendra Garg, Mukesh Kumar, Bhisham Sharma, Sanjay Kumar:
EESR: Energy efficient sector-based routing protocol for reliable data communication in UWSNs. Comput. Commun. 192: 268-278 (2022) - [j103]Hitendra Garg, Bhisham Sharma, Shashi Shekhar, Rohit Agarwal:
Spoofing detection system for e-health digital twin using EfficientNet Convolution Neural Network. Multim. Tools Appl. 81(19): 26873-26888 (2022) - [j102]Manik Gupta, Rakesh Kumar, Shashi Shekhar, Bhisham Sharma, Ram Bahadur Patel, Shaily Jain, Imed Ben Dhaou, Celestine Iwendi:
Game Theory-Based Authentication Framework to Secure Internet of Vehicles with Blockchain. Sensors 22(14): 5119 (2022) - [j101]Matthias Renz, Mohamed Sarwat, Mario A. Nascimento, Shashi Shekhar, Xing Xie:
Conference Report: The 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2022) Seattle, Washington, USA November 1-4, 2022. ACM SIGSPATIAL Special 14(1): 2-6 (2022) - [j100]Arun Sharma, Shashi Shekhar:
Analyzing Trajectory Gaps to Find Possible Rendezvous Region. ACM Trans. Intell. Syst. Technol. 13(3): 36:1-36:23 (2022) - [c170]Arun Sharma, Jayant Gupta, Shashi Shekhar:
Abnormal Trajectory-Gap Detection: A Summary (Short Paper). COSIT 2022: 26:1-26:10 - [c169]Subhankar Ghosh, Jayant Gupta, Arun Sharma, Shuai An, Shashi Shekhar:
Towards geographically robust statistically significant regional colocation pattern detection. GeoSim@SIGSPATIAL 2022: 11-20 - [c168]Yan Li, Majid Farhadloo, Santhoshi Krishnan, Yiqun Xie, Timothy L. Frankel, Shashi Shekhar, Arvind Rao:
CSCD: towards spatially resolving the heterogeneous landscape of MxIF oncology data. BigSpatial@SIGSPATIAL 2022: 36-46 - [c167]Majid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Alexey A. Leontovich, Raymond Moore:
SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data. KDD 2022: 2860-2870 - [c166]Zhe Jiang, Liang Zhao, Xun Zhou, Robert N. Stewart, Junbo Zhang, Shashi Shekhar, Jieping Ye:
DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. KDD 2022: 4878-4879 - [i16]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) - [i15]Arun Sharma, Zhe Jiang, Shashi Shekhar:
Spatiotemporal Data Mining: A Survey. CoRR abs/2206.12753 (2022) - 2021
- [j99]Jiannan Cai, Min Deng, Yiwen Guo, Yiqun Xie, Shashi Shekhar:
Discovering regions of anomalous spatial co-locations. Int. J. Geogr. Inf. Sci. 35(5): 974-998 (2021) - [j98]Yiqun Xie, Xiaowei Jia, Shashi Shekhar, Han Bao, Xun Zhou:
Significant DBSCAN+: Statistically Robust Density-based Clustering. ACM Trans. Intell. Syst. Technol. 12(5): 62:1-62:26 (2021) - [j97]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) - [c165]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 - [c164]Lokendra P. S. Chauhan, Shashi Shekhar:
GeoAI - Accelerating a Virtuous Cycle between AI and Geo. IC3 2021: 355-370 - [c163]Xun Zhou, Liang Zhao, Zhe Jiang, Robert N. Stewart, Shashi Shekhar, Jieping Ye:
DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. KDD 2021: 4183-4184 - [c162]Jayant Gupta, Alexander Long, Corey Kewei Xu, Tian Tang, Shashi Shekhar:
Spatial Dimensions of Algorithmic Transparency: A Summary. SSTD 2021: 116-125 - [c161]Shashi Shekhar:
What is special about spatial data science and Geo-AI? SSDBM 2021: 271 - [e14]Xiaofeng Meng, Fusheng Wang, Chang-Tien Lu, Yan Huang, Shashi Shekhar, Xing Xie:
SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, Virtual Event / Beijing, China, November 2-5, 2021. ACM 2021, ISBN 978-1-4503-8664-7 [contents] - [i14]Daniel Lopresti, Shashi Shekhar:
A National Research Agenda for Intelligent Infrastructure: 2021 Update. CoRR abs/2101.01671 (2021) - [i13]Yiqun Xie, Shashi Shekhar, Yan Li:
Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey. CoRR abs/2103.12019 (2021) - [i12]Harish Panneer Selvam, Yan Li, Pengyue Wang, William F. Northrop, Shashi Shekhar:
Vehicle Emissions Prediction with Physics-Aware AI Models: Preliminary Results. CoRR abs/2105.00375 (2021) - [i11]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) - [i10]Majid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Raymond Moore, Alexey A. Leontovich:
MC-DGCNN: A Novel DNN Architecture for Multi-Category Point Set Classification. CoRR abs/2112.12219 (2021) - 2020
- [j96]Shashi Shekhar:
Technical perspective: Progress in spatial computing for flood prediction. Commun. ACM 63(9): 93 (2020) - [j95]Shashi Shekhar, Dilip Kumar Sharma, M. M. Sufyan Beg:
An Effective Bi-LSTM Word Embedding System for Analysis and Identification of Language in Code-Mixed social Media Text in English and Roman Hindi. Computación y Sistemas 24(4) (2020) - [j94]Reem Y. Ali, Shashi Shekhar, Shounak Athavale, Eric D. Marsman:
ULAMA: A Utilization-Aware Matching Approach for robust on-demand spatial service brokers. Future Gener. Comput. Syst. 108: 1030-1048 (2020) - [j93]Yiqun Xie, Jiannan Cai, Rahul Bhojwani, Shashi Shekhar, Joseph F. Knight:
A locally-constrained YOLO framework for detecting small and densely-distributed building footprints. Int. J. Geogr. Inf. Sci. 34(4): 777-801 (2020) - [j92]Chaowei Yang, Keith C. Clarke, Shashi Shekhar, C. Vincent Tao:
Big Spatiotemporal Data Analytics: a research and innovation frontier. Int. J. Geogr. Inf. Sci. 34(6): 1075-1088 (2020) - [j91]Shashi Shekhar, Dilip Kumar Sharma, M. M. Sufyan Beg:
Computational linguistic retrieval framework using negative bootstrapping for retrieving transliteration variants. Int. J. Comput. Vis. Robotics 10(1): 79-101 (2020) - [j90]Emre Eftelioglu, Shashi Shekhar, James Hudson, Lucas Joppa, Chaitanya K. Baru, Vandana P. Janeja:
Data Science for Earth: An Earth Day Report. SIGKDD Explor. 22(1): 4-7 (2020) - [j89]Yiqun Xie, Shashi Shekhar:
A Unified Framework for Robust and Efficient Hotspot Detection in Smart Cities. Trans. Data Sci. 1(3): 17:1-17:29 (2020) - [j88]Yan Li, Pratik Kotwal, Pengyue Wang, Yiqun Xie, Shashi Shekhar, William F. Northrop:
Physics-guided Energy-efficient Path Selection Using On-board Diagnostics Data. Trans. Data Sci. 1(3): 22:1-22:28 (2020) - [j87]Yiqun Xie, Xun Zhou, Shashi Shekhar:
Discovering Interesting Subpaths with Statistical Significance from Spatiotemporal Datasets. ACM Trans. Intell. Syst. Technol. 11(1): 2:1-2:24 (2020) - [j86]Jiannan Cai, Yiqun Xie, Min Deng, Xun Tang, Yan Li, Shashi Shekhar:
Significant spatial co-distribution pattern discovery. Comput. Environ. Urban Syst. 84: 101543 (2020) - [c160]Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop:
Risk-aware Energy Management of Extended Range Electric Delivery Vehicles with Implicit Quantile Network. CASE 2020: 772-778 - [c159]Yan Li, Yiqun Xie, Pengyue Wang, Shashi Shekhar, William F. Northrop:
Significant lagrangian linear hotspot discovery. IWCTS@SIGSPATIAL 2020: 5:1-5:10 - [c158]Yiqun Xie, Han Bao, Yan Li, Shashi Shekhar:
Discovering Spatial Mixture Patterns of Interest. SIGSPATIAL/GIS 2020: 608-617 - [c157]Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop:
Uncertainty-aware Energy Management of Extended Range Electric Delivery Vehicles with Bayesian Ensemble. IV 2020: 1556-1562 - [i9]Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop:
A Physics Model-Guided Online Bayesian Framework for Energy Management of Extended Range Electric Delivery Vehicles. CoRR abs/2006.00795 (2020) - [i8]Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop:
Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles. CoRR abs/2006.00817 (2020) - [i7]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
- [j85]Yolanda Gil, Suzanne A. Pierce, Hassan A. Babaie, Arindam Banerjee, Kirk D. Borne, Gary S. Bust, Michelle Cheatham, Imme Ebert-Uphoff, Carla P. Gomes, Mary C. Hill, John D. Horel, Leslie Hsu, Jim Kinter, Craig A. Knoblock, David M. Krum, Vipin Kumar, Pierre F. J. Lermusiaux, Yan Liu, Chris North, Victor Pankratius, Shanan Peters, Beth Plale, Allen Pope, Sai Ravela, Juan Restrepo, Aaron J. Ridley, Hanan Samet, Shashi Shekhar:
Intelligent systems for geosciences: an essential research agenda. Commun. ACM 62(1): 76-84 (2019) - [j84]Ning Guo, Shashi Shekhar, Wei Xiong, Luo Chen, Ning Jing:
UTSM: A Trajectory Similarity Measure Considering Uncertainty Based on an Amended Ellipse Model. ISPRS Int. J. Geo Inf. 8(11): 518 (2019) - [j83]Shashi Shekhar, Dilip Kumar Sharma, M. M. Sufyan Beg:
An effective cybernated word embedding system for analysis and language identification in code-mixed social media text. Int. J. Knowl. Based Intell. Eng. Syst. 23(3): 167-179 (2019) - [j82]Zhe Jiang, Arpan Man Sainju, Yan Li, Shashi Shekhar, Joseph F. Knight:
Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity. ACM Trans. Intell. Syst. Technol. 10(4): 43:1-43:25 (2019) - [c156]Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop:
Actor-Critic based Deep Reinforcement Learning Framework for Energy Management of Extended Range Electric Delivery Vehicles. AIM 2019: 1379-1384 - [c155]Samantha Detor, Abigail Roh, Yiqun Xie, Shashi Shekhar:
Analyzing Domain Knowledge for Big Data Analysis: A Case Study with Urban Tree Type Classification. BDA 2019: 176-192 - [c154]Yiqun Xie, Shashi Shekhar, Richard Feiock, Joseph F. Knight:
Revolutionizing Tree Management via Intelligent Spatial Techniques. SIGSPATIAL/GIS 2019: 71-74 - [c153]Xun Tang, Jayant Gupta, Shashi Shekhar:
Linear Hotspot Discovery on All Simple Paths: A Summary of Results. SIGSPATIAL/GIS 2019: 476-479 - [c152]Shashi Shekhar, Dilip Kumar Sharma, M. M. Sufyan Beg:
Embedding Framework for Identifying Ambiguous Words in Code-Mixed Social Media Text. IC3I 2019: 59-63 - [c151]Anushree Ramanath, Saipreethi Muthusrinivasan, Yiqun Xie, Shashi Shekhar, Bharathkumar Ramachandra:
NDVI Versus CNN Features in Deep Learning for Land Cover Clasification of Aerial Images. IGARSS 2019: 6483-6486 - [c150]Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop:
Uncertainty Estimation with Distributional Reinforcement Learning for Applications in Intelligent Transportation Systems: A Case Study. ITSC 2019: 3822-3827 - [c149]Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop:
A Deep Reinforcement Learning Framework for Energy Management of Extended Range Electric Delivery Vehicles. IV 2019: 1837-1842 - [c148]Yiqun Xie, Shashi Shekhar:
A Nondeterministic Normalization based Scan Statistic (NN-scan) towards Robust Hotspot Detection: A Summary of Results. SDM 2019: 82-90 - [c147]Yiqun Xie, Shashi Shekhar:
Significant DBSCAN towards Statistically Robust Clustering. SSTD 2019: 31-40 - [c146]Yan Li, Pratik Kotwal, Pengyue Wang, Shashi Shekhar, William F. Northrop:
Trajectory-aware Lowest-cost Path Selection: A Summary of Results. SSTD 2019: 61-69 - [r14]Shashi Shekhar, Jayant Gupta:
Spatial Graph Big Data. Encyclopedia of Big Data Technologies 2019 - 2018
- [c145]Yan Li, Shashi Shekhar, Pengyue Wang, William F. Northrop:
Physics-guided energy-efficient path selection: a summary of results. SIGSPATIAL/GIS 2018: 99-108 - [c144]Yiqun Xie, Rahul Bhojwani, Shashi Shekhar, Joseph F. Knight:
An unsupervised augmentation framework for deep learning based geospatial object detection: a summary of results. SIGSPATIAL/GIS 2018: 349-358 - [c143]Yan Li, Shashi Shekhar:
Local Co-location Pattern Detection: A Summary of Results. GIScience 2018: 10:1-10:15 - [c142]Yiqun Xie, Han Bao, Shashi Shekhar, Joseph F. Knight:
A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets. ICDM 2018: 1344-1349 - [c141]Yiqun Xie, Jayant Gupta, Yan Li, Shashi Shekhar:
Transforming Smart Cities with Spatial Computing. ISC2 2018: 1-9 - [c140]Emre Eftelioglu, Xun Tang, Shashi Shekhar:
Avoidance Region Discovery: A Summary of Results. SDM 2018: 585-593 - [r13]Betsy George, Shashi Shekhar:
Spatial Network Databases. Encyclopedia of Database Systems (2nd ed.) 2018 - [r12]Betsy George, Shashi Shekhar:
Time Aggregated Graphs. Encyclopedia of Database Systems (2nd ed.) 2018 - [r11]Shashi Shekhar, Zhe Jiang, James M. Kang, Vijay Gandhi:
Spatial Data Mining. Encyclopedia of Database Systems (2nd ed.) 2018 - [r10]Venkata M. V. Gunturi, Ivan Brugere, Shashi Shekhar:
Modeling and Analysis of Spatiotemporal Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [r9]Dev Oliver, Rupa Tiwari, Michael R. Evans, Shashi Shekhar:
Disaster Response and Relief, VGI Volunteer Motivation in. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [b4]Venkata M. V. Gunturi, Shashi Shekhar:
Spatio-Temporal Graph Data Analytics. Springer 2017, ISBN 978-3-319-67770-5, pp. 1-100 - [b3]Zhe Jiang, Shashi Shekhar:
Spatial Big Data Science - Classification Techniques for Earth Observation Imagery. Springer 2017, ISBN 978-3-319-60194-6, pp. 1-131 - [b2]KwangSoo Yang, Shashi Shekhar:
Spatial Network Big Databases - Queries and Storage Methods. Springer 2017, ISBN 978-3-319-56656-6, pp. 1-101 - [j81]Reem Y. Ali, Venkata M. V. Gunturi, Andrew J. Kotz, Emre Eftelioglu, Shashi Shekhar, William F. Northrop:
Discovering non-compliant window co-occurrence patterns. GeoInformatica 21(4): 829-866 (2017) - [j80]Yiqun Xie, Bryan C. Runck, Shashi Shekhar, Len Kne, David J. Mulla, Nicolas Jordan, Peter Wiringa:
Collaborative Geodesign and Spatial Optimization for Fragmentation-Free Land Allocation. ISPRS Int. J. Geo Inf. 6(7): 226 (2017) - [j79]Yiqun Xie, Emre Eftelioglu, Reem Y. Ali, Xun Tang, Yan Li, Ruhi Doshi, Shashi Shekhar:
Transdisciplinary Foundations of Geospatial Data Science. ISPRS Int. J. Geo Inf. 6(12): 395 (2017) - [j78]Venkata M. V. Gunturi, Shashi Shekhar, Kenneth Joseph, Kathleen M. Carley:
Scalable computational techniques for centrality metrics on temporally detailed social network. Mach. Learn. 106(8): 1133-1169 (2017) - [j77]Xun Tang, Emre Eftelioglu, Dev Oliver, Shashi Shekhar:
Significant Linear Hotspot Discovery. IEEE Trans. Big Data 3(2): 140-153 (2017) - [j76]Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar:
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data. IEEE Trans. Knowl. Data Eng. 29(10): 2318-2331 (2017) - [c139]Yiqun Xie, KwangSoo Yang, Shashi Shekhar, Brent Dalzell, David J. Mulla:
Spatially Constrained Geodesign Optimization (GOP) for Improving Agricultural Watershed Sustainability. AAAI Workshops 2017 - [c138]Sushil K. Prasad, Danial Aghajarian, Michael McDermott, Dhara Shah, Mohamed F. Mokbel, Satish Puri, Sergio J. Rey, Shashi Shekhar, Yiqun Xe, Ranga Raju Vatsavai, Fusheng Wang, Yanhui Liang, Hoang Vo, Shaowen Wang:
Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap. BigData Congress 2017: 232-250 - [c137]Zhe Jiang, Yan Li, Shashi Shekhar, Lian P. Rampi, Joseph F. Knight:
Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity: A Summary of Results. SIGSPATIAL/GIS 2017: 23:1-23:10 - [c136]Reem Y. Ali, Yan Li, Shashi Shekhar, Shounak Athavale, Eric D. Marsman:
Supply and Demand Aware Synthetic Data Generation for On-demand Traffic with Real-world Characteristics. IWCTS@SIGSPATIAL 2017: 36-41 - [c135]Xun Tang, Emre Eftelioglu, Shashi Shekhar:
Detecting Isodistance Hotspots on Spatial Networks: A Summary of Results. SSTD 2017: 281-299 - [c134]Yiqun Xie, Shashi Shekhar:
FF-SA: Fragmentation-Free Spatial Allocation. SSTD 2017: 319-338 - [e13]Shashi Shekhar, Hui Xiong, Xun Zhou:
Encyclopedia of GIS. Springer 2017, ISBN 978-3-319-17884-4 [contents] - [r8]Betsy George, Shashi Shekhar:
Road Maps, Digital. Encyclopedia of GIS 2017: 1780-1786 - [r7]