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John Gibson
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2020 – today
- 2023
- [j8]Saurabh Mittal, Robert L. Wittman, John Gibson, Josh Huffman, Hans Miller:
Providing a User Extensible Service-Enabled Multi-Fidelity Hybrid Cloud-Deployable SoS Test and Evaluation (T&E) Infrastructure: Application of Modeling and Simulation (M&S) as a Service (MSaaS). Inf. 14(10): 528 (2023) - [c10]John R. Theisen, Anjan Bose, Monish Mukherjee, Michael Diedesch, John Gibson:
Evaluating the Risk of Enabling Energy Storage Systems to Provide Multiple Services. ISGT 2023: 1-5 - 2022
- [j7]Xiaoxuan Zhang, John Gibson:
Using Multi-Source Nighttime Lights Data to Proxy for County-Level Economic Activity in China from 2012 to 2019. Remote. Sens. 14(5): 1282 (2022) - [c9]Mohamed Sayed, John Gibson, Jamie Watson, Victor Prisacariu, Michael Firman, Clément Godard:
SimpleRecon: 3D Reconstruction Without 3D Convolutions. ECCV (33) 2022: 1-19 - [i1]Mohamed Sayed, John Gibson, Jamie Watson, Victor Prisacariu, Michael Firman, Clément Godard:
SimpleRecon: 3D Reconstruction Without 3D Convolutions. CoRR abs/2208.14743 (2022) - 2021
- [j6]John Gibson, Geua Boe-Gibson:
Nighttime Lights and County-Level Economic Activity in the United States: 2001 to 2019. Remote. Sens. 13(14): 2741 (2021) - [c8]Jian Han Lim, Chun Shui Tan, Chee Seng Chan, Roshan Alex Welikala, Paolo Remagnino, Senthilmani Rajendran, Thomas George Kallarakkal, Rosnah Binti Zain, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr, Rahmi Amtha, Karthikeya Patil, Wanninayake Mudiyanselage Tilakaratne, John Gibson, Sok Ching Cheong, Sarah Ann Barman:
D'OraCa: Deep Learning-Based Classification of Oral Lesions with Mouth Landmark Guidance for Early Detection of Oral Cancer. MIUA 2021: 408-422 - 2020
- [j5]Roshan Alex Welikala, Paolo Remagnino, Jian Han Lim, Chee Seng Chan, Senthilmani Rajendran, Thomas George Kallarakkal, Rosnah Binti Zain, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr, Rahmi Amtha, Karthikeya Patil, Wanninayake Mudiyanselage Tilakaratne, John Gibson, Sok Ching Cheong, Sarah Ann Barman:
Automated Detection and Classification of Oral Lesions Using Deep Learning for Early Detection of Oral Cancer. IEEE Access 8: 132677-132693 (2020) - [j4]Xiangzheng Deng, John Gibson:
Sustainable land use management for improving land eco-efficiency: a case study of Hebei, China. Ann. Oper. Res. 290(1): 265-277 (2020) - [c7]Roshan Alex Welikala, Paolo Remagnino, Jian Han Lim, Chee Seng Chan, Senthilmani Rajendran, Thomas George Kallarakkal, Rosnah Binti Zain, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr, Rahmi Amtha, Karthikeya Patil, Wanninayake Mudiyanselage Tilakaratne, John Gibson, Sok Ching Cheong, Sarah Ann Barman:
Fine-Tuning Deep Learning Architectures for Early Detection of Oral Cancer. ISMCO 2020: 25-31 - [c6]Saurabh Mittal, Nick Kasdaglis, Lamar Harrell, Robert L. Wittman, John Gibson, David Rocca:
Autonomous and Composable M&S System of Systems with the Simulation, Experimentation, Analytics and Testing (Seat) Framework. WSC 2020: 2305-2316
2010 – 2019
- 2019
- [c5]Amela Sadagic, Jesse Attig, John Gibson, Faisal Rashid, Nicholas Arthur, Floy Yates, Cody Tackett:
Designing VR and AR Systems with Large Scale Adoption in Mind. ISVC (2) 2019: 117-128
2000 – 2009
- 2009
- [j3]Hengyun Ma, Les Oxley, John Gibson, Bonggeun Kim:
Modeling China's energy consumption behavior and changes in energy intensity. Environ. Model. Softw. 24(11): 1293-1301 (2009) - 2008
- [c4]Brad Herman, John Gibson, Erik Gamache:
A.I. cars for speed racer. SIGGRAPH Talks 2008: 27:1 - 2007
- [c3]John Gibson, Ben Wellner, Susan Lubar:
Adaptive web-page content identification. WIDM 2007: 105-112 - 2006
- [c2]Conrad Chang, Lisa Ferro, John Gibson, Janet Hitzeman, Suzi Lubar, Justin Palmer, Sean Munson, Marc B. Vilain, Benjamin Wellner:
Maytag: A Multi-Staged Approach to Identifying Complex Events in Textual Data. EACL 2006 - 2005
- [j2]Le Thi Van Trinh, John Gibson, Les Oxley:
Measuring the stock of human capital in New Zealand. Math. Comput. Simul. 68(5-6): 484-497 (2005) - 2004
- [c1]John Gibson:
Loop-based Composition with RTcmix and Hula. ICMC 2004 - 2002
- [j1]John Gibson:
The effect of endogeneity and measurement error bias on models of the risk of child stunting. Math. Comput. Simul. 59(1-3): 179-185 (2002)
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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