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Craig A. Knoblock

Affiliations: 
University of Southern California, Los Angeles, CA, United States 
Area:
Computer Science
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"Craig Knoblock"
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Parents

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Children

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Naveen Ashish grad student 2000 USC
Ion A. Muslea grad student 2002 USC
Greg Barish grad student 2003 USC
Sheila A. Tejada grad student 2003 USC
Ching-Chien Chen grad student 2005 USC
Martin Michalowski grad student 2008 USC
Rattapoom Tuchinda grad student 2008 USC
Matthew Michelson grad student 2009 USC
Yao-Yi Chiang grad student 2010 USC

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Publications

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Uhl JH, Leyk S, Chiang YY, et al. (2022) Towards the automated large-scale reconstruction of past road networks from historical maps. Computers, Environment and Urban Systems. 94
Uhl JH, Leyk S, Li Z, et al. (2021) Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents. Remote Sensing. 13
Uhl JH, Leyk S, Chiang Y, et al. (2020) Automated Extraction of Human Settlement Patterns From Historical Topographic Map Series Using Weakly Supervised Convolutional Neural Networks Ieee Access. 8: 6978-6996
Duan W, Chiang Y, Leyk S, et al. (2019) Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning International Journal of Geographical Information Science. 34: 824-849
Zhang Y, Ma Q, Chiang Y, et al. (2019) Extracting geographic features from the Internet: A geographic information mining framework Knowledge-Based Systems. 174: 57-72
Uhl JH, Leyk S, Chiang YY, et al. (2018) Map Archive Mining: Visual-Analytical Approaches to Explore Large Historical Map Collections. Isprs International Journal of Geo-Information. 7
Kejriwal M, Szekely P, Knoblock C. (2018) Investigative Knowledge Discovery for Combating Illicit Activities Ieee Intelligent Systems. 33: 53-63
Uhl JH, Leyk S, Chiang Y, et al. (2018) Spatialising uncertainty in image segmentation using weakly supervised convolutional neural networks: a case study from historical map processing Iet Image Processing. 12: 2084-2091
Knoblock CA, Szekely P. (2015) Exploiting semantics for big data integration Ai Magazine. 36: 25-38
Knoblock CA, Szekely P. (2015) A scalable architecture for extracting, aligning, linking, and visualizing multi-Int data Proceedings of Spie - the International Society For Optical Engineering. 9499
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