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ORCIDShashi Shekhar
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- affiliation: University of Minnesota, USA
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2020 – today
- 2024
[j110]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)- [j109]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) - [j108]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) - [j107]Majid Farhadloo, Arun Sharma, Shashi Shekhar, Svetomir N. Markovic:
Spatial Computing Opportunities in Biomedical Decision Support: The Atlas-EHR Vision. ACM Trans. Spatial Algorithms Syst. 10(3): 21:1-21:36 (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]Xun Zhou, Shashi Shekhar, Reem Y. Ali:
Spatiotemporal Change Footprint Pattern Discovery. Encyclopedia of GIS 2017: 2133-2148 - [i6]Shashi Shekhar, Joe Colletti, Francisco Muñoz-Arriola, Lakshmish Ramaswamy, Chandra Krintz, Lav R. Varshney, Debra J. Richardson:
Intelligent Infrastructure for Smart Agriculture: An Integrated Food, Energy and Water System. CoRR abs/1705.01993 (2017) - 2016
- [j75]Shashi Shekhar, Steven K. Feiner, Walid G. Aref:
Spatial computing. Commun. ACM 59(1): 72-81 (2016) - [j74]Shashi Shekhar, Elisa Bertino:
GeoInformatica welcomes a new co-editor-in-chief. GeoInformatica 20(4): 569-570 (2016) - [j73]Zhe Jiang, Michael R. Evans, Dev Oliver, Shashi Shekhar:
Identifying K Primary Corridors from urban bicycle GPS trajectories on a road network. Inf. Syst. 57: 142-159 (2016) - [j72]Naoki Abe, Yiqun Xie, Shashi Shekhar, Chid Apté, Vipin Kumar, Mitch Tuinstra, Ranga Raju Vatsavai:
Data Science for Food, Energy and Water: A Workshop Report. SIGKDD Explor. 18(2): 1-4 (2016) - [j71]Chi-Yin Chow, Maria Luisa Damiani, Shashi Shekhar:
MobiGIS 2015 workshop report: the 4th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems Seattle, Washington, USA - November 3, 2015. ACM SIGSPATIAL Special 8(1): 56 (2016) - [j70]Shashi Shekhar, Maria Luisa Damiani, Chi-Yin Chow, Reza Nourjou:
MobiGIS 2016 workshop report: The Fifth ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems: San Francisco, California, USA - October 31, 2016. ACM SIGSPATIAL Special 8(3): 11 (2016) - [j69]Emre Eftelioglu, Shashi Shekhar, James M. Kang, Christopher Farah:
Ring-Shaped Hotspot Detection. IEEE Trans. Knowl. Data Eng. 28(12): 3367-3381 (2016) - [c133]Reem Y. Ali, Emre Eftelioglu, Shashi Shekhar, Shounak Athavale, Eric D. Marsman:
Supply-demand ratio and on-demand spatial service brokers: a summary of results. IWCTS@SIGSPATIAL 2016: 7-12 - [c132]Shrutilipi Bhattacharjee, Monidipa Das, Soumya K. Ghosh, Shashi Shekhar:
Prediction of meteorological parameters: an a-posteriori probabilistic semantic kriging approach. SIGSPATIAL/GIS 2016: 38:1-38:10 - [c131]Emre Eftelioglu, Yan Li, Xun Tang, Shashi Shekhar, James M. Kang, Christopher Farah:
Mining Network Hotspots with Holes: A Summary of Results. GIScience 2016: 51-67 - [c130]KwangSoo Yang, Apurv Hirsh Shekhar, Dev Oliver, Shashi Shekhar:
Capacity-Constrained Network-Voronoi Diagram. ICDE 2016: 1556-1557 - [e12]Shamkant B. Navathe, Weili Wu, Shashi Shekhar, Xiaoyong Du, X. Sean Wang, Hui Xiong:
Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Dallas, TX, USA, April 16-19, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9642, Springer 2016, ISBN 978-3-319-32024-3 [contents] - [e11]Shamkant B. Navathe, Weili Wu, Shashi Shekhar, Xiaoyong Du, X. Sean Wang, Hui Xiong:
Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Dallas, TX, USA, April 16-19, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9643, Springer 2016, ISBN 978-3-319-32048-9 [contents] - [e10]Chi-Yin Chow, Maria Luisa Damiani, Shashi Shekhar, Reza Nourjou:
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, MobiGIS 2016, Burlingame, CA, USA, October 31, 2016. ACM 2016, ISBN 978-1-4503-4582-8 [contents] - [i5]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. CoRR abs/1612.08544 (2016) - 2015
- [j68]James H. Faghmous, Vipin Kumar, Shashi Shekhar:
Computing and Climate. Comput. Sci. Eng. 17(6): 6-8 (2015) - [j67]KwangSoo Yang, Apurv Hirsh Shekhar, Faizan Ur Rehman, Hassan F. Lahza, Saleh M. Basalamah, Shashi Shekhar, Imtiaz Ahmed, Arif Ghafoor:
Intelligent Shelter Allotment for Emergency Evacuation Planning: A Case Study of Makkah. IEEE Intell. Syst. 30(5): 66-76 (2015) - [j66]Shashi Shekhar, Steven Feiner, Walid G. Aref:
From GPS and virtual globes to spatial computing - 2020. GeoInformatica 19(4): 799-832 (2015) - [j65]Shashi Shekhar, Zhe Jiang, Reem Y. Ali, Emre Eftelioglu, Xun Tang, Venkata M. V. Gunturi, Xun Zhou:
Spatiotemporal Data Mining: A Computational Perspective. ISPRS Int. J. Geo Inf. 4(4): 2306-2338 (2015) - [j64]Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph F. Knight, Jennifer Corcoran:
Focal-Test-Based Spatial Decision Tree Learning. IEEE Trans. Knowl. Data Eng. 27(6): 1547-1559 (2015) - [j63]Venkata M. V. Gunturi, Shashi Shekhar, KwangSoo Yang:
A Critical-Time-Point Approach to All-Departure-Time Lagrangian Shortest Paths. IEEE Trans. Knowl. Data Eng. 27(10): 2591-2603 (2015) - [j62]KwangSoo Yang, Apurv Hirsh Shekhar, Dev Oliver, Shashi Shekhar:
Capacity-Constrained Network-Voronoi Diagram. IEEE Trans. Knowl. Data Eng. 27(11): 2919-2932 (2015) - [c129]Reem Y. Ali, Venkata M. V. Gunturi, Shashi Shekhar, Ahmed Eldawy, Mohamed F. Mokbel, Andrew J. Kotz, William F. Northrop:
Future connected vehicles: challenges and opportunities for spatio-temporal computing. SIGSPATIAL/GIS 2015: 14:1-14:4 - [c128]Xun Tang, Emre Eftelioglu, Shashi Shekhar:
Elliptical Hotspot Detection: A Summary of Results. BigSpatial@SIGSPATIAL 2015: 15-24 - [c127]Emre Eftelioglu, Xun Tang, Shashi Shekhar:
Geographically Robust Hotspot Detection: A Summary of Results. ICDM Workshops 2015: 1447-1456 - [c126]Sarnath Ramnath, Zhe Jiang, Hsuan-Heng Wu, Venkata M. V. Gunturi, Shashi Shekhar:
A Spatio-Temporally Opportunistic Approach to Best-Start-Time Lagrangian Shortest Path. SSTD 2015: 274-291 - [c125]Reem Y. Ali, Venkata M. V. Gunturi, Andrew J. Kotz, Shashi Shekhar, William F. Northrop:
Discovering Non-compliant Window Co-Occurrence Patterns: A Summary of Results. SSTD 2015: 391-410 - [e9]Chi-Yin Chow, Maria Luisa Damiani, Shashi Shekhar:
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, MobiGIS 2015, Bellevue, WA, USA, November 3-6, 2015. ACM 2015, ISBN 978-1-4503-3977-3 [contents] - 2014
- [j61]James H. Faghmous, Arindam Banerjee, Shashi Shekhar, Michael S. Steinbach, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova:
Theory-Guided Data Science for Climate Change. Computer 47(11): 74-78 (2014) - [j60]Chi-Yin Chow, Shashi Shekhar:
MobiGIS 2013 workshop report: the Second ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems: Orlando, Florida, USA - November 5, 2013. ACM SIGSPATIAL Special 6(1): 15 (2014) - [j59]Reem Y. Ali, Venkata M. V. Gunturi, Shashi Shekhar:
Spatial big data for eco-routing services: computational challenges and accomplishments. ACM SIGSPATIAL Special 6(2): 19-25 (2014) - [j58]Sushil K. Prasad, Michael McDermott, Satish Puri, Dhara Shah, Danial Aghajarian, Shashi Shekhar, Xun Zhou:
A vision for GPU-accelerated parallel computation on geo-spatial datasets. ACM SIGSPATIAL Special 6(3): 19-26 (2014) - [j57]Chi-Yin Chow, Shashi Shekhar:
MobiGIS 2014 workshop report: the Third ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, Dallas, Texas, USA - November 4, 2014. ACM SIGSPATIAL Special 6(3): 48 (2014) - [j56]Dev Oliver, Shashi Shekhar, James M. Kang, Renee Laubscher, Veronica Carlan, Abdussalam Bannur:
A K-Main Routes Approach to Spatial Network Activity Summarization. IEEE Trans. Knowl. Data Eng. 26(6): 1464-1478 (2014) - [j55]KwangSoo Yang, Michael R. Evans, Venkata M. V. Gunturi, James M. Kang, Shashi Shekhar:
Lagrangian Approaches to Storage of Spatio-Temporal Network Datasets. IEEE Trans. Knowl. Data Eng. 26(9): 2222-2236 (2014) - [j54]Xun Zhou, Shashi Shekhar, Reem Y. Ali:
Spatiotemporal change footprint pattern discovery: an inter-disciplinary survey. WIREs Data Mining Knowl. Discov. 4(1): 1-23 (2014) - [c124]Venkata M. V. Gunturi, Shashi Shekhar:
Lagrangian Xgraphs: A Logical Data-Model for Spatio-Temporal Network Data: A Summary. ER Workshops 2014: 201-211 - [c123]Dev Oliver, Shashi Shekhar, Xun Zhou, Emre Eftelioglu, Michael R. Evans, Qiaodi Zhuang, James M. Kang, Renee Laubscher, Christopher Farah:
Significant Route Discovery: A Summary of Results. GIScience 2014: 284-300 - [c122]Zhe Jiang, Shashi Shekhar, Azamat Kamzin, Joseph F. Knight:
Learning a Spatial Ensemble of Classifiers for Raster Classification: A Summary of Results. ICDM Workshops 2014: 15-18 - [c121]Emre Eftelioglu, Shashi Shekhar, Dev Oliver, Xun Zhou, Michael R. Evans, Yiqun Xie, James M. Kang, Renee Laubscher, Christopher Farah:
Ring-Shaped Hotspot Detection: A Summary of Results. ICDM 2014: 815-820 - [e8]Chi-Yin Chow, Shashi Shekhar:
Proceedings of the Third ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, MobiGIS 2014, Dallas/Fort Worth, TX, USA, November 4, 2014. ACM 2014, ISBN 978-1-4503-3142-5 [contents] - [r6]Dev Oliver, Rupa Tiwari, Michael R. Evans, Shashi Shekhar:
Disaster Response and Relief, VGI Volunteer Motivation in. Encyclopedia of Social Network Analysis and Mining 2014: 370-380 - [r5]Ivan Brugere, Venkata M. V. Gunturi, Shashi Shekhar:
Modeling and Analysis of Spatiotemporal Social Networks. Encyclopedia of Social Network Analysis and Mining 2014: 950-960 - 2013
- [j53]Chi-Yin Chow, Shashi Shekhar:
MobiGIS 2012 workshop report: the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems Redondo Beach, CA, USA - November 6, 2012. ACM SIGSPATIAL Special 5(1): 15-16 (2013) - [j52]Hui Xiong, Shashi Shekhar, Alexander Tuzhilin:
Introduction to special section on intelligent mobile knowledge discovery and management systems. ACM Trans. Intell. Syst. Technol. 5(1): 1:1-1:2 (2013) - [c120]Daniel Cintra Cugler, Claudia Bauzer Medeiros, Shashi Shekhar, Luís Felipe Toledo:
A Geographical Approach for Metadata Quality Improvement in Biological Observation Databases. e-Science 2013: 212-220 - [c119]Xun Zhou, Shashi Shekhar, Dev Oliver:
Discovering persistent change windows in spatiotemporal datasets: a summary of results. BigSpatial@SIGSPATIAL 2013: 37-46 - [c118]Sushil K. Prasad, Shashi Shekhar, Michael McDermott, Xun Zhou, Michael R. Evans, Satish Puri:
GPGPU-accelerated interesting interval discovery and other computations on GeoSpatial datasets: a summary of results. BigSpatial@SIGSPATIAL 2013: 65-72 - [c117]Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph F. Knight, Jennifer Corcoran:
Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results. ICDM 2013: 320-329 - [c116]Michael R. Evans, Dev Oliver, Shashi Shekhar, Francis Harvey:
Fast and exact network trajectory similarity computation: a case-study on bicycle corridor planning. UrbComp@KDD 2013: 9:1-9:8 - [c115]KwangSoo Yang, Apurv Hirsh Shekhar, Dev Oliver, Shashi Shekhar:
Capacity-Constrained Network-Voronoi Diagram: A Summary of Results. SSTD 2013: 56-73 - [c114]Abdeltawab M. Hendawi, Eugene Sturm, Dev Oliver, Shashi Shekhar:
CrowdPath: A Framework for Next Generation Routing Services Using Volunteered Geographic Information. SSTD 2013: 456-461 - [e7]Chi-Yin Chow, Shashi Shekhar:
Proceedings of the Second ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, MobiGIS 2013, November 5, 2013, Orlando, Florida, USA. ACM 2013, ISBN 978-1-4503-2531-8 [contents] - 2012
- [j51]Shashi Shekhar, KwangSoo Yang, Venkata M. V. Gunturi, Lydia Manikonda, Dev Oliver, Xun Zhou, Betsy George, Sangho Kim, Jeffrey M. R. Wolff, Qingsong Lu:
Experiences with evacuation route planning algorithms. Int. J. Geogr. Inf. Sci. 26(12): 2253-2265 (2012) - [j50]Pradeep Mohan, Shashi Shekhar, James A. Shine, James P. Rogers:
Cascading Spatio-Temporal Pattern Discovery. IEEE Trans. Knowl. Data Eng. 24(11): 1977-1992 (2012) - [j49]Shashi Shekhar, Michael Dietz, Dan S. Wallach:
AdSplit: Separating Smartphone Advertising from Applications. login Usenix Mag. 37(6) (2012) - [c113]Ranga Raju Vatsavai, Auroop R. Ganguly, Varun Chandola, Anthony Stefanidis, Scott Klasky, Shashi Shekhar:
Spatiotemporal data mining in the era of big spatial data: algorithms and applications. BigSpatial@SIGSPATIAL 2012: 1-10 - [c112]Zhe Jiang, Shashi Shekhar, Pradeep Mohan, Joseph F. Knight, Jennifer Corcoran:
Learning spatial decision tree for geographical classification: a summary of results. SIGSPATIAL/GIS 2012: 390-393 - [c111]Michael R. Evans, Dev Oliver, Shashi Shekhar, Francis Harvey:
Summarizing trajectories into k-primary corridors: a summary of results. SIGSPATIAL/GIS 2012: 454-457 - [c110]Pradeep Mohan, Xun Zhou, Shashi Shekhar:
Quantifying Resolution Sensitivity of Spatial Autocorrelation: A Resolution Correlogram Approach. GIScience 2012: 132-145 - [c109]KwangSoo Yang, Venkata M. V. Gunturi, Shashi Shekhar:
A Dartboard Network Cut Based Approach to Evacuation Route Planning: A Summary of Results. GIScience 2012: 325-339 - [c108]Dev Oliver, Shashi Shekhar, James M. Kang, Renee Laubscher, Veronica Carlan, Michael R. Evans:
Geo-referenced Time-Series Summarization Using k-Full Trees: A Summary of Results. ICDM Workshops 2012: 797-804 - [c107]Shashi Shekhar, Viswanath Gunturi, Michael R. Evans, KwangSoo Yang:
Spatial big-data challenges intersecting mobility and cloud computing. MobiDE 2012: 1-6 - [c106]Shashi Shekhar, Michael Dietz, Dan S. Wallach:
AdSplit: Separating Smartphone Advertising from Applications. USENIX Security Symposium 2012: 553-567 - [c105]Shashi Shekhar, Michael R. Evans, Viswanath Gunturi, KwangSoo Yang, Daniel Cintra Cugler:
Benchmarking Spatial Big Data. WBDB 2012: 81-93 - [e6]Chi-Yin Chow, Shashi Shekhar:
Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, MobiGIS 2012, Redondo Beach, CA, USA, November 6, 2012. ACM 2012, ISBN 978-1-4503-1699-6 [contents] - [e5]Ningchuan Xiao, Mei-Po Kwan, Michael F. Goodchild, Shashi Shekhar:
Geographic Information Science - 7th International Conference, GIScience 2012, Columbus, OH, USA, September 18-21, 2012. Proceedings. Lecture Notes in Computer Science 7478, Springer 2012, ISBN 978-3-642-33023-0 [contents] - [i4]Shashi Shekhar, Michael Dietz, Dan S. Wallach:
AdSplit: Separating smartphone advertising from applications. CoRR abs/1202.4030 (2012) - 2011
- [j48]Xiaobin Ma, Chengyang Zhang, Shashi Shekhar, Yan Huang, Hui Xiong:
On multi-type reverse nearest neighbor search. Data Knowl. Eng. 70(11): 955-983 (2011) - [j47]Shashi Shekhar, Michael R. Evans, James M. Kang, Pradeep Mohan:
Identifying patterns in spatial information: A survey of methods. WIREs Data Mining Knowl. Discov. 1(3): 193-214 (2011) - [j46]Jeffrey Partyka, Pallabi Parveen, Latifur Khan, Bhavani Thuraisingham, Shashi Shekhar:
Enhanced geographically typed semantic schema matching. J. Web Semant. 9(1): 52-70 (2011) - [c104]Xun Zhou, Shashi Shekhar, Pradeep Mohan, Stefan Liess, Peter K. Snyder:
Discovering interesting sub-paths in spatiotemporal datasets: a summary of results. GIS 2011: 44-53 - [c103]Pradeep Mohan, Shashi Shekhar, James A. Shine, James P. Rogers, Zhe Jiang, Nicole Wayant:
A neighborhood graph based approach to regional co-location pattern discovery: a summary of results. GIS 2011: 122-132 - [c102]Venkata M. V. Gunturi, Ernesto Nunes, KwangSoo Yang, Shashi Shekhar:
A Critical-Time-Point Approach to All-Start-Time Lagrangian Shortest Paths: A Summary of Results. SSTD 2011: 74-91 - [c101]KwangSoo Yang, Shashi Shekhar, Jing Dai, Sambit Sahu, Milind R. Naphade:
Smarter Water Management: A Challenge for Spatio-Temporal Network Databases. SSTD 2011: 471-474 - [c100]Michael Dietz, Shashi Shekhar, Yuliy Pisetsky, Anhei Shu, Dan S. Wallach:
QUIRE: Lightweight Provenance for Smart Phone Operating Systems. USENIX Security Symposium 2011 - [e4]Dieter Pfoser, Yufei Tao, Kyriakos Mouratidis, Mario A. Nascimento, Mohamed F. Mokbel, Shashi Shekhar, Yan Huang:
Advances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Minneapolis, MN, USA, August 24-26, 2011, Proceedings. Lecture Notes in Computer Science 6849, Springer 2011, ISBN 978-3-642-22921-3 [contents] - [i3]Michael Dietz, Shashi Shekhar, Yuliy Pisetsky, Anhei Shu, Dan S. Wallach:
Quire: Lightweight Provenance for Smart Phone Operating Systems. CoRR abs/1102.2445 (2011) - 2010
- [j45]Xun Zhou, Betsy George, Sangho Kim, Jeffrey M. R. Wolff, Qingsong Lu, Shashi Shekhar:
Evacuation Planning: A Spatial Network Database Approach. IEEE Data Eng. Bull. 33(2): 26-31 (2010) - [j44]James M. Kang, Mohamed F. Mokbel, Shashi Shekhar, Tian Xia, Donghui Zhang:
Incremental and General Evaluation of Reverse Nearest Neighbors. IEEE Trans. Knowl. Data Eng. 22(7): 983-999 (2010) - [c99]Viswanath Gunturi, Shashi Shekhar, Arnab Bhattacharya:
Minimum Spanning Tree on Spatio-Temporal Networks. DEXA (2) 2010: 149-158 - [c98]Shashi Shekhar:
High performance computing with spatial datasets. GIS-HPDGIS 2010: 1-2 - [c97]Michael R. Evans, KwangSoo Yang, James M. Kang, Shashi Shekhar:
A Lagrangian approach for storage of spatio-temporal network datasets: a summary of results. GIS 2010: 212-221 - [c96]Dev Oliver, Abdussalam Bannur, James M. Kang, Shashi Shekhar, Renee Bousselaire:
A K-Main Routes Approach to Spatial Network Activity Summarization: A Summary of Results. ICDM Workshops 2010: 265-272 - [c95]Vania Bogorny, Shashi Shekhar:
Spatial and Spatio-temporal Data Mining. ICDM 2010: 1217 - [c94]Pradeep Mohan, Shashi Shekhar, James A. Shine, James P. Rogers:
Cascading Spatio-temporal Pattern Discovery: A Summary of Results. SDM 2010: 327-338 - [p5]Shashi Shekhar, Pusheng Zhang, Yan Huang:
Spatial Data Mining. Data Mining and Knowledge Discovery Handbook 2010: 837-854 - [i2]Shashi Shekhar, Betsy George, Qingsong Lu:
Capacity Constrained Routing Algorithms for Evacuation Route Planning. Computational Transportation Science 2010 - [i1]Viswanath Gunturi, Shashi Shekhar, Arnab Bhattacharya:
Minimum Spanning Tree on Spatio-Temporal Networks. CoRR abs/1003.1251 (2010)
2000 – 2009
- 2009
- [j43]Betsy George, James M. Kang, Shashi Shekhar:
Spatio-Temporal Sensor Graphs (STSG): A data model for the discovery of spatio-temporal patterns. Intell. Data Anal. 13(3): 457-475 (2009) - [j42]Zhao Zhang, Weili Wu, Shashi Shekhar:
Optimal placements of replicas in a ring network with majority voting protocol. J. Parallel Distributed Comput. 69(5): 461-469 (2009) - [j41]Vijay Gandhi, James M. Kang, Shashi Shekhar, Junchang Ju, Eric D. Kolaczyk, Sucharita Gopal:
Context inclusive function evaluation: a case study with EM-based multi-scale multi-granular image classification. Knowl. Inf. Syst. 21(2): 231-247 (2009) - [j40]Jin Soung Yoo, Shashi Shekhar:
Similarity-Profiled Temporal Association Mining. IEEE Trans. Knowl. Data Eng. 21(8): 1147-1161 (2009) - [c93]Mark Dietz, Shashi Shekhar:
Fuel-cache site-selection for polar research: a summary of results. GIS-IWCTS 2009: 7-12 - [c92]Xiaobin Ma, Shashi Shekhar, Hui Xiong:
Multi-type nearest neighbor queries in road networks with time window constraints. GIS 2009: 484-487 - [c91]James M. Kang, Shashi Shekhar, Michael Henjum, Paige J. Novak, William A. Arnold:
Discovering Teleconnected Flow Anomalies: A Relationship Analysis of Dynamic Neighborhoods (RAD) Approach. SSTD 2009: 44-61 - [e3]Shashi Shekhar, Glenn Geers, Betsy George, Sangho Kim:
Proceedings of the Second International Workshop on Computational Transportation Science, IWCTS 2009, November 3, 2009, Seattle, Washington, USA, Proceedings. ACM 2009, ISBN 978-1-60558-861-2 [contents] - [r4]Shashi Shekhar, James M. Kang, Vijay Gandhi:
Spatial Data Mining. Encyclopedia of Database Systems 2009: 2695-2698 - [r3]Betsy George, Shashi Shekhar:
Spatial Network Databases. Encyclopedia of Database Systems 2009: 2714-2719 - [r2]Betsy George, Shashi Shekhar:
Time Aggregated Graphs. Encyclopedia of Database Systems 2009: 3097-3098 - 2008
- [j39]Sangho Kim, Shashi Shekhar, Manki Min:
Contraflow Transportation Network Reconfiguration for Evacuation Route Planning. IEEE Trans. Knowl. Data Eng. 20(8): 1115-1129 (2008) - [j38]Mete Celik, Shashi Shekhar, James P. Rogers, James A. Shine:
Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining. IEEE Trans. Knowl. Data Eng. 20(10): 1322-1335 (2008) - [c90]Pradeep Mohan, Ronald E. Wilson, Shashi Shekhar, Betsy George, Ned Levine, Mete Celik:
Should SDBMS support a join index?: a case study from CrimeStat. GIS 2008: 37 - [c89]Jeffrey Partyka, Neda Alipanah, Latifur Khan, Bhavani Thuraisingham, Shashi Shekhar:
Content-based ontology matching for GIS datasets. GIS 2008: 51 - [c88]Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk, Budhendra L. Bhaduri:
*Miner: a spatial and spatiotemporal data mining system. GIS 2008: 86 - [c87]Zhao Zhang, Weili Wu, Shashi Shekhar:
Optimal Placements in Ring Network for Data Replicas in Distributed Database with MajorityVoting Protocol. ICDCS 2008: 387-394 - [c86]Ranga Raju Vatsavai, Shashi Shekhar, Budhendra L. Bhaduri:
A Semi-supervised Learning Algorithm for Recognizing Sub-classes. ICDM Workshops 2008: 458-467 - [c85]James M. Kang, Shashi Shekhar, Christine Wennen, Paige J. Novak:
Discovering Flow Anomalies: A SWEET Approach. ICDM 2008: 851-856 - [c84]Ranga Raju Vatsavai, Shashi Shekhar, Budhendra L. Bhaduri:
Sub-class Recognition from Aggregate Class Labels: Preliminary Results. ICTAI (1) 2008: 61-64 - [c83]Ranga Raju Vatsavai, Budhendra L. Badhuri, Shashi Shekhar, Thomas E. Burk:
Multisource Data Classification using a Hybrid Semi-Supervised Learning Scheme. IGARSS (3) 2008: 1016-1019 - [c82]Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk, Budhendra L. Bhaduri:
*Miner: A Suit of Classifiers for Spatial, Temporal, Ancillary, and Remote Sensing Data Mining. ITNG 2008: 801-806 - [c81]Betsy George, Shashi Shekhar:
SP-TAG: a routing algorithm in non-stationary transportation networks. MobiQuitous 2008 - [c80]Vania Bogorny, Shashi Shekhar:
Spatial and Spatio-temporal Data Mining. SBBD 2008: 315 - [c79]Jeffrey Partyka, Neda Alipanah, Latifur Khan, Bhavani Thuraisingham, Shashi Shekhar:
Ontology Alignment Using Multiple Contexts. ISWC (Posters & Demos) 2008 - [c78]Jin Soung Yoo, Shashi Shekhar:
Mining Temporal Association Patterns under a Similarity Constraint. SSDBM 2008: 401-417 - [c77]Ranga Raju Vatsavai, Shashi Shekhar, Budhendra L. Bhaduri:
A Learning Scheme for Recognizing Sub-classes from Model Trained on Aggregate Classes. SSPR/SPR 2008: 967-976 - [p4]Shashi Shekhar, Ranga Raju Vatsavai, Mete Celik:
Spatial and Spatiotemporal Data Mining. Next Generation of Data Mining 2008 - [p3]Vijay Gandhi, James M. Kang, Shashi Shekhar:
Spatial Databases. Wiley Encyclopedia of Computer Science and Engineering 2008 - [e2]Shashi Shekhar, Hui Xiong:
Encyclopedia of GIS. Springer 2008, ISBN 978-0-387-30858-6 [contents] - [r1]Betsy George, Shashi Shekhar:
Road Maps, Digital. Encyclopedia of GIS 2008: 967-972 - 2007
- [j37]Qingsong Lu, Betsy George, Shashi Shekhar:
Evacuation Route Planning: a Case Study in Semantic Computing. Int. J. Semantic Comput. 1(2): 249-303 (2007) - [j36]Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk:
An efficient spatial semi-supervised learning algorithm. Int. J. Parallel Emergent Distributed Syst. 22(6): 427-437 (2007) - [j35]Changqing Zhou, Dan Frankowski, Pamela J. Ludford, Shashi Shekhar, Loren G. Terveen:
Discovering personally meaningful places: An interactive clustering approach. ACM Trans. Inf. Syst. 25(3): 12 (2007) - [c76]Mallikarjun Shankar, Alexandre Sorokine, Budhendra L. Bhaduri, David Resseguie, Shashi Shekhar, Jin Soung Yoo:
Spatio-temporal Conceptual Schema Development for Wide-Area Sensor Networks. GeoS 2007: 160-176 - [c75]Betsy George, Shashi Shekhar:
Modeling Spatio-temporal Network Computations: A Summary of Results. GeoS 2007: 177-194 - [c74]Sangho Kim, Betsy George, Shashi Shekhar:
Evacuation route planning: scalable heuristics. GIS 2007: 20 - [c73]Changqing Zhou, Nupur Bhatnagar, Shashi Shekhar, Loren G. Terveen:
Mining Personally Important Places from GPS Tracks. ICDE Workshops 2007: 517-526 - [c72]Mete Celik, Shashi Shekhar, James P. Rogers, James A. Shine, James M. Kang:
Mining At Most Top-K% Mixed-drove Spatio-temporal Co-occurrence Patterns: A Summary of Results. ICDE Workshops 2007: 565-574 - [c71]James M. Kang, Mohamed F. Mokbel, Shashi Shekhar, Tian Xia, Donghui Zhang:
Continuous Evaluation of Monochromatic and Bichromatic Reverse Nearest Neighbors. ICDE 2007: 806-815 - [c70]Mete Celik, James M. Kang, Shashi Shekhar:
Zonal Co-location Pattern Discovery with Dynamic Parameters. ICDM 2007: 433-438 - [c69]Betsy George, Sangho Kim, Shashi Shekhar:
Spatio-temporal Network Databases and Routing Algorithms: A Summary of Results. SSTD 2007: 460-477 - 2006
- [j34]Betsy George, Shashi Shekhar:
Time-Aggregated Graphs for Modeling Spatio-temporal Networks. J. Data Semant. 11: 191-212 (2006) - [j33]Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar:
TAPER: A Two-Step Approach for All-Strong-Pairs Correlation Query in Large Databases. IEEE Trans. Knowl. Data Eng. 18(4): 493-508 (2006) - [j32]Jin Soung Yoo, Shashi Shekhar:
A Joinless Approach for Mining Spatial Colocation Patterns. IEEE Trans. Knowl. Data Eng. 18(10): 1323-1337 (2006) - [c68]Betsy George, Shashi Shekhar:
Time-Aggregated Graphs for Modeling Spatio-temporal Networks. ER (Workshops) 2006: 85-99 - [c67]Xiaobin Ma, Shashi Shekhar, Hui Xiong, Pusheng Zhang:
Exploiting a page-level upper bound for multi-type nearest neighbor queries. GIS 2006: 179-186 - [c66]Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk, Stephen Lime:
UMN-MapServer: A High-Performance, Interoperable, and Open Source Web Mapping and Geo-spatial Analysis System. GIScience 2006: 400-417 - [c65]Mete Celik, Shashi Shekhar, James P. Rogers, James A. Shine, Jin Soung Yoo:
Mixed-Drove Spatio-Temporal Co-occurence Pattern Mining: A Summary of Results. ICDM 2006: 119-128 - [c64]Vijay Gandhi, James M. Kang, Shashi Shekhar, Junchang Ju, Eric D. Kolaczyk, Sucharita Gopal:
Context-Inclusive Approach to Speed-up Function Evaluation for Statistical Queries : An Extended Abstract. ICDM Workshops 2006: 371-376 - [c63]Mete Celik, Shashi Shekhar, James P. Rogers, James A. Shine:
Sustained Emerging Spatio-Temporal Co-occurrence Pattern Mining: A Summary of Results. ICTAI 2006: 106-115 - [c62]Jin Soung Yoo, Shashi Shekhar, Sangho Kim, Mete Celik:
Discovery of Co-evoluting Spatial Co-located Event Sets. SDM 2006: 306-315 - 2005
- [j31]Jin Soung Yoo, Shashi Shekhar:
In-Route Nearest Neighbor Queries. GeoInformatica 9(2): 117-137 (2005) - [j30]Chang-Tien Lu, Lakshmi N. Sripada, Shashi Shekhar, Rulin Liu:
Transportation data visualisation and mining for emergency management. Int. J. Crit. Infrastructures 1(2/3): 170-194 (2005) - [c61]Sangho Kim, Shashi Shekhar:
Contraflow network reconfiguration for evacuation planning: a summary of results. GIS 2005: 250-259 - [c60]Sandeep Mane, Carson Murray, Shashi Shekhar, Jaideep Srivastava, Anne Pusey:
Spatial Clustering of Chimpanzee Locations for Neighborhood Identification. ICDM 2005: 737-740 - [c59]Jin Soung Yoo, Shashi Shekhar, Mete Celik:
A Join-Less Approach for Co-Location Pattern Mining: A Summary of Results. ICDM 2005: 813-816 - [c58]Ranga Raju Vatsavai, Shashi Shekhar, Thomas E. Burk:
A Semi-Supervised Learning Method for Remote Sensing Data Mining. ICTAI 2005: 207-211 - [c57]Jin Soung Yoo, Pusheng Zhang, Shashi Shekhar:
Mining Time-Profiled Associations: An Extended Abstract. PAKDD 2005: 136-142 - [c56]Qingsong Lu, Betsy George, Shashi Shekhar:
Capacity Constrained Routing Algorithms for Evacuation Planning: A Summary of Results. SSTD 2005: 291-307 - [p2]Shashi Shekhar, Pusheng Zhang, Yan Huang:
Spatial Data Mining. The Data Mining and Knowledge Discovery Handbook 2005: 833-851 - 2004
- [j29]Yan Huang, Shashi Shekhar, Hui Xiong:
Discovering Colocation Patterns from Spatial Data Sets: A General Approach. IEEE Trans. Knowl. Data Eng. 16(12): 1472-1485 (2004) - [c55]Jin Soung Yoo, Shashi Shekhar:
A partial join approach for mining co-location patterns. GIS 2004: 241-249 - [c54]Changqing Zhou, Dan Frankowski, Pamela J. Ludford, Shashi Shekhar, Loren G. Terveen:
Discovering personal gazetteers: an interactive clustering approach. GIS 2004: 266-273 - [c53]Baris M. Kazar, Shashi Shekhar, David J. Lilja, Ranga Raju Vatsavai, R. Kelley Pace:
Comparing Exact and Approximate Spatial Auto-regression Model Solutions for Spatial Data Analysis. GIScience 2004: 140-161 - [c52]Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar:
Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs. KDD 2004: 334-343 - [c51]Hui Xiong, Shashi Shekhar, Yan Huang, Vipin Kumar, Xiaobin Ma, Jin Soung Yoo:
A Framework for Discovering Co-Location Patterns in Data Sets with Extended Spatial Objects. SDM 2004: 78-89 - [p1]Shashi Shekhar, Ranga Raju Vatsavai, Xiaobin Ma, Jin Soung Yoo:
Navigation Systems: A Spatial Database Perspective. Location-Based Services 2004: 41-82 - 2003
- [b1]Shashi Shekhar, Sanjay Chawla:
Spatial databases - a tour. Prentice Hall 2003, ISBN 978-0-13-017480-2, pp. I-XXIII, 1-262 - [j28]Shashi Shekhar:
Editorial. GeoInformatica 7(1): 5-6 (2003) - [j27]Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang:
A Unified Approach to Detecting Spatial Outliers. GeoInformatica 7(2): 139-166 (2003) - [j26]Xuan Liu, Shashi Shekhar, Sanjay Chawla:
Object-Based Directional Query Processing in Spatial Databases. IEEE Trans. Knowl. Data Eng. 15(2): 295-304 (2003) - [c50]Shashi Shekhar, Jin Soung Yoo:
Processing in-route nearest neighbor queries: a comparison of alternative approaches. GIS 2003: 9-16 - [c49]Qingsong Lu, Yan Huang, Shashi Shekhar:
Evacuation Planning: A Capacity Constrained Routing Approach. ISI 2003: 111-125 - [c48]Pusheng Zhang, Yan Huang, Shashi Shekhar, Vipin Kumar:
Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach. PAKDD 2003: 532-544 - [c47]Yan Huang, Hui Xiong, Shashi Shekhar, Jian Pei:
Mining Confident Colocation Rules without A Support Threshold. SAC 2003: 497-501 - [c46]Pusheng Zhang, Yan Huang, Shashi Shekhar, Vipin Kumar:
Exploiting Spatial Autocorrelation to Efficiently Process Correlation-Based Similarity Queries. SSTD 2003: 449-468 - [e1]Weili Wu, Hui Xiong, Shashi Shekhar:
Clustering and Information Retrieval. Kluwer 2003, ISBN 1-4020-7682-7 [contents] - 2002
- [j25]Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang:
Detecting graph-based spatial outliers. Intell. Data Anal. 6(5): 451-468 (2002) - [j24]Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla, Sivakumar Ravada:
Efficient Join-Index-Based Spatial-Join Processing: A Clustering Approach. IEEE Trans. Knowl. Data Eng. 14(6): 1400-1421 (2002) - [j23]Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsavai, Weili Wu, Sanjay Chawla:
Spatial contextual classification and prediction models for mining geospatial data. IEEE Trans. Multim. 4(2): 174-188 (2002) - [c45]Shashi Shekhar, Yan Huang, Judy Djugash:
Dictionary Design Algorithms for Vector Map Compression. DCC 2002: 471 - [c44]Shashi Shekhar, Yan Huang, Judy Djugash, Changqing Zhou:
Vector map compression: a clustering approach. ACM-GIS 2002: 74-80 - [c43]Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang, Rulin Liu:
Data Mining for Selective Visualization of Large Spatial Datasets. ICTAI 2002: 41-48 - [c42]Sanjay Chawla, Shashi Shekhar, Weili Wu:
A Comparison of Markov Random Field and Spatial Regression Models for Mining Geospatial Data. JCIS 2002: 245-250 - 2001
- [j22]Xuan Liu, Shashi Shekhar, Sanjay Chawla:
Maintaining Spatial Constraints Using a Dimension Graph Approach. Int. J. Artif. Intell. Tools 10(4): 639-662 (2001) - [j21]Shashi Shekhar, Weili Wu:
Optimal placement of data replicas in distributed database with majority voting protocol. Theor. Comput. Sci. 258(1-2): 555-571 (2001) - [c41]Shashi Shekhar, Ranga Raju Vatsavai, Namita Sahay, Thomas E. Burk, Stephen Lime:
WMS and GML based Interoperable Web Mapping System. ACM-GIS 2001: 106-111 - [c40]Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang:
Detecting graph-based spatial outliers: algorithms and applications (a summary of results). KDD 2001: 371-376 - [c39]Sanjay Chawla, Shashi Shekhar, Weili Wu, Uygar Özesmi:
Modeling Spatial Dependencies for Mining Geospatial Data. SDM 2001: 1-17 - [c38]Shashi Shekhar, Yan Huang:
Discovering Spatial Co-location Patterns: A Summary of Results. SSTD 2001: 236-256 - [c37]Ranga Raju Vatsavai, Thomas E. Burk, Shashi Shekhar, Mark H. Hansen:
An efficient query strategy for integrated Remote Sensing and inventory (Spatial) Databases. SSDBM 2001: 115-123 - 2000
- [c36]Sanjay Chawla, Shashi Shekhar, Weili Wu, Uygar Özesmi:
Extending Data Mining for Spatial Applications: A Case Study in Predicting Nest Locations. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 2000: 70-77 - [c35]Xuan Liu, Shashi Shekhar, Sanjay Chawla:
Processing object-oientation-based direction queries: a summary of results. ACM-GIS 2000: 69-76 - [c34]Ranga Raju Vatsavai, Thomas E. Burk, B. Tyler Wilson, Shashi Shekhar:
A Web-based browsing and spatial analysis system for regional natural resource analysis and mapping. ACM-GIS 2000: 95-101 - [c33]Xuan Liu, Shashi Shekhar, Sanjay Chawla:
Consistency checking for Euclidean spatial constraints: a dimension graph approach. ICTAI 2000: 333- - [c32]Sanjay Chawla, Shashi Shekhar, Weili Wu, Uygar Özesmi:
Predicting Locations Using Map Similarity(PLUMS): A Framework for Spatial Data Mining. MDM/KDD 2000: 14-24
1990 – 1999
- 1999
- [j20]Shashi Shekhar, Xuan Liu, Sanjay Chawla:
An Object Model of Direction and Its Implications. GeoInformatica 3(4): 357-379 (1999) - [j19]Shashi Shekhar, Sanjay Chawla, Sivakumar Ravada, Andrew Fetterer, Xuan Liu, Chang-Tien Lu:
Spatial Databases - Accomplishments and Research Needs. IEEE Trans. Knowl. Data Eng. 11(1): 45-55 (1999) - [j18]George Karypis, Rajat Aggarwal, Vipin Kumar, Shashi Shekhar:
Multilevel hypergraph partitioning: applications in VLSI domain. IEEE Trans. Very Large Scale Integr. Syst. 7(1): 69-79 (1999) - [c31]Shashi Shekhar, Ranga Raju Vatsavai, Sanjay Chawla, Thomas E. Burk:
Spatial Pictogram Enhanced Conceptual Data Models and Their Translation to Logical Data Models. Integrated Spatial Databases 1999: 77-104 - [c30]Babak Hamidzadeh, Shashi Shekhar:
Dependability of on-line optimization techniques in real-time applications. WORDS (Jan.) 1999: 163-177 - 1998
- [j17]Shashi Shekhar, Sivakumar Ravada, Vipin Kumar, Douglas Chubb, Greg Turner:
Declustering and Load-Balancing Methods for Parallelizing Geographic Information Systems. IEEE Trans. Knowl. Data Eng. 10(4): 632-655 (1998) - [c29]Shashi Shekhar, Xuan Liu:
Direction as a Spatial Object: A Summary of Results. ACM-GIS 1998: 69-75 - [c28]Sivakumar Ravada, Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla:
Optimizing Join Index Based Join Processing: A Graph Partitioning Approach. SRDS 1998: 302-308 - 1997
- [j16]Shashi Shekhar, Mark Coyle, Brajesh Goyal, Duen-Ren Liu, Shyamsundar Sarkar:
Data Models in Geographic Information Systems. Commun. ACM 40(4): 103-111 (1997) - [j15]Shashi Shekhar, Duen-Ren Liu:
CCAM: A Connectivity-Clustered Access Method for Networks and Network Computations. IEEE Trans. Knowl. Data Eng. 9(1): 102-119 (1997) - [c27]George Karypis, Rajat Aggarwal, Vipin Kumar, Shashi Shekhar:
Multilevel Hypergraph Partitioning: Application in VLSI Domain. DAC 1997: 526-529 - [c26]Andrew Fetterer, Shashi Shekhar:
A Performance Analysis of Hierarchical Shortest Path Algorithms. ICTAI 1997: 84-93 - [c25]Shashi Shekhar, Andrew Fetterer, Bjajesh Goyal:
Materialization Trade-Offs in Hierarchical Shortest Path Algorithms. SSD 1997: 94-111 - 1996
- [j14]Shashi Shekhar, Sivakumar Ravada, Vipin Kumar, Douglas Chubb, Greg Turner:
Parallelizing a GIS on a Shared Address Space Architecture. Computer 29(12): 42-48 (1996) - [j13]Shashi Shekhar, Andrew Fetterer, Duen-Ren Liu:
Genesis: An Approach to Data Dissemination in Advanced Traveler Information Systems. IEEE Data Eng. Bull. 19(3): 40-47 (1996) - [j12]Duen-Ren Liu, Shashi Shekhar:
Partitioning Similarity Graphs: A Framework for Declustering Problems. Inf. Syst. 21(6): 475-496 (1996) - [j11]Ee-Peng Lim, Jaideep Srivastava, Shashi Shekhar:
An Evidential Reasoning Approach to Attribute Value Conflict Resolution in Database Integration. IEEE Trans. Knowl. Data Eng. 8(5): 707-723 (1996) - 1995
- [c24]Duen-Ren Liu, Shashi Shekhar:
A Similarity Graph-Based Approach to Declustering Problems and Its Application towards Paralleling Grid Files. ICDE 1995: 373-381 - [c23]Shashi Shekhar, Duen-Ren Liu:
CCAM: A Connectivity-Clustered Access Method for Aggregate Queries on Transportation Networks: A Summary of Results. ICDE 1995: 410-419 - [c22]Babak Hamidzadeh, Shashi Shekhar:
Deadline Compliance, Predictability, and On-line Optimization in Real-Time Problem Solving. IJCAI 1995: 220-226 - [c21]Shashi Shekhar, Sivakumar Ravada, Vipin Kumar, Douglas Chubb, Greg Turner:
Load Balancing in High Performance GIS: Declustering Polygonal Maps. SSD 1995: 196-215 - 1994
- [j10]Soumitra Dutta, Shashi Shekhar, W. Y. Wong:
Decision support in non-conservative domains: Generalization with neural networks. Decis. Support Syst. 11(5): 527-544 (1994) - [j9]Vipin Kumar, Shashi Shekhar, Minesh B. Amin:
A Scalable Parallel Formulation of the Backpropagation Algorithm for Hypercubes and Related Architectures. IEEE Trans. Parallel Distributed Syst. 5(10): 1073-1090 (1994) - [c20]Ee-Peng Lim, Jaideep Srivastava, Shashi Shekhar:
Resolving Attribute Incompatibility in Database Integration: An Evidential Reasoning Approach. ICDE 1994: 154-163 - [c19]Yvonne Zhou, Shashi Shekhar, Mark Coyle:
Disk Allocation Methods for Parallelizing Grid Files. ICDE 1994: 243-252 - [c18]Minesh B. Anim, Shashi Shekhar:
Customizing Parallel Formulations of Backpropagation Learning Algorithm to Neural Network Architectures : A Summary of Results. ICTAI 1994: 181-189 - [c17]Shashi Shekhar, Duen-Ren Liu:
Genesis and Advanced Traveler Information Systems. Mobidata 1994: 699-723 - 1993
- [j8]Babak Hamidzadeh, Shashi Shekhar:
Dynoraii: a Real-Time Planning Algorithm. Int. J. Artif. Intell. Tools 2(1): 93-116 (1993) - [j7]Shashi Shekhar, Babak Hamidzadeh:
Evaluation of Real-Time Problem Solvers in Dynamic Environments. Int. J. Artif. Intell. Tools 2(4): 459-484 (1993) - [j6]Shashi Shekhar, Babak Hamidzadeh, Ashim Kohli, Mark Coyle:
Learning Transformation Rules for Semantic Query Optimization: A Data-Driven Approach. IEEE Trans. Knowl. Data Eng. 5(6): 950-964 (1993) - [j5]Babak Hamidzadeh, Shashi Shekhar:
Specification and Analysis of Real-time Problem Solvers. IEEE Trans. Software Eng. 19(8): 788-803 (1993) - [c16]Shashi Shekhar, Ashim Kohli, Mark Coyle:
Path Computation Algorithms for Advanced Traveller Information System (ATIS). ICDE 1993: 31-39 - [c15]Shashi Shekhar:
Real Time and AI (Panel). ICTAI 1993: 5 - [c14]Shashi Shekhar, Babak Hamidzadeh:
Self-Adjusting Real-Time Search: A Summary of Results. ICTAI 1993: 224-231 - 1992
- [j4]Shashi Shekhar, Jaideep Srivastava, Soumitra Dutta:
A formal model of trade-off between optimization and execution costs in semantic query optimization. Data Knowl. Eng. 8: 131-151 (1992) - [j3]Shashi Shekhar, C. V. Ramamoorthy:
Coop: a Self-Assessment Based Approach to Cooperating Expert Systems. Int. J. Artif. Intell. Tools 1(2): 175-204 (1992) - [j2]Shashi Shekhar, Minesh B. Amin:
Generalization by Neural Networks. IEEE Trans. Knowl. Data Eng. 4(2): 177-185 (1992) - [c13]Babak Hamidzadeh, Shashi Shekhar:
Can Real-Time Search Algorithms Meet Deadlines? AAAI 1992: 486-491 - [c12]Shashi Shekhar, Toneluh Andrew Yang:
MoBiLe Files and Efficient Processing of Path Queries on Scientific Data. ICDE 1992: 78-85 - [c11]Shashi Shekhar, Babak Hamidzadeh:
Evaluation of Real-Time Search Algorithms in Dynamic Worlds. ICTAI 1992: 6-13 - [c10]Soumitra Dutta, Shashi Shekhar, W. Y. Wong:
Decision Support in Non-Conservative Domains: Generalization with Neural Networks. IFIP Congress (3) 1992: 259-265 - [c9]Jack S. Eddy Tan, Jaideep Srivastava, Shashi Shekhar:
On the construction of efficient match networks. SAC 1992: 353-362 - 1991
- [c8]Babak Hamidzadeh, Shashi Shekhar:
DYNORA: a real-time planning algorithm to meet response-time constraints in dynamic environments. ICTAI 1991: 228-235 - [c7]Shashi Shekhar, Toneluh Andrew Yang:
Motion in a Geographical Database System. SSD 1991: 339-358 - 1990
- [c6]C. V. Ramamoorthy, Shashi Shekhar:
A Cooperative Approach to Large Knowledge Based Systems. ICDE 1990: 346-352
1980 – 1989
- 1989
- [c5]C. V. Ramamoorthy, Shashi Shekhar:
Stochastic backpropagation: a learning algorithm for generalization problems. COMPSAC 1989: 664-671 - [c4]Shashi Shekhar, Chittoor V. Ramamoorthy:
Coop: a shell for cooperating expert systems. TAI 1989: 2-11 - [c3]Shashi Shekhar, Soumitra Dutta:
Minimizing Response Times in Real Time Planning and Search. IJCAI 1989: 238-242 - 1988
- [c2]Soumitra Dutta, Shashi Shekhar:
Bond rating: a nonconservative application of neural networks. ICNN 1988: 443-450 - [c1]Shashi Shekhar, Jaideep Srivastava, Soumitra Dutta:
A Formal Model of Trade-off between Optimization and Execution Costs in Semantic Query Optimization. VLDB 1988: 457-467 - 1987
- [j1]C. V. Ramamoorthy, Shashi Shekhar, Vijay K. Garg:
Software Development Support for AI Programs. Computer 20(1): 30-40 (1987)
Coauthor Index
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