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Publication search results
found 58 matches
- 2024
- Eric Chen, Martin S. Andersen, Rohitash Chandra:
Deep learning framework with Bayesian data imputation for modelling and forecasting groundwater levels. Environ. Model. Softw. 178: 106072 (2024) - Yijia Xu, Hamid Ebrahimy, Zhou Zhang:
Bayesian Joint Adaptation Network for Crop Mapping in the Absence of Mapping Year Ground-Truth Samples. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024) - Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Joshua B. Tenenbaum:
Grounding Language about Belief in a Bayesian Theory-of-Mind. CoRR abs/2402.10416 (2024) - Carlos Plou, Lorenzo Mur-Labadia, Ruben Martinez-Cantin, Ana C. Murillo:
CARLOR @ Ego4D Step Grounding Challenge: Bayesian temporal-order priors for test time refinement. CoRR abs/2406.09575 (2024) - 2023
- Duong Tran Anh, Manish Pandey, Varun Narayan Mishra, Kiran Kumari Singh, Kourosh Ahmadi, Saeid Janizadeh, Thanh-Hai Tran, Nguyen Thi Thuy Linh, Nguyen Mai Dang:
Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm. Appl. Soft Comput. 132: 109848 (2023) - Jing Sun:
Feature extraction of arc high impedance grounding fault of low-voltage distribution lines based on Bayesian network optimisation algorithm. IET Cyper-Phys. Syst.: Theory & Appl. 8(2): 109-118 (2023) - Ting Zhou, Xiaohu Wen, Qi Feng, Haijiao Yu, Haiyang Xi:
Bayesian Model Averaging Ensemble Approach for Multi-Time-Ahead Groundwater Level Prediction Combining the GRACE, GLEAM, and GLDAS Data in Arid Areas. Remote. Sens. 15(1): 188 (2023) - Han Xie, Xunyu Zhong, Bushi Chen, Pengfei Peng, Huosheng Hu, Qiang Liu:
Real-Time Elevation Mapping with Bayesian Ground Filling and Traversability Analysis for UGV Navigation. IROS 2023: 7218-7225 - 2022
- Jie Su, Yuzhe Wang, Xiaokai Niu, Shan Sha, Junyu Yu:
Prediction of ground surface settlement by shield tunneling using XGBoost and Bayesian Optimization. Eng. Appl. Artif. Intell. 114: 105020 (2022) - Van Quan Tran, Linh Quy Nguyen:
Using hybrid machine learning model including gradient boosting and Bayesian optimization for predicting compressive strength of concrete containing ground glass particles. J. Intell. Fuzzy Syst. 43(5): 5913-5927 (2022) - Zhaobin Li, Bin Yang, Xinyu Zhang, Chao Guo:
DDoS Defense Method in Software-Defined Space-Air-Ground Network from Dynamic Bayesian Game Perspective. Secur. Commun. Networks 2022: 1886516:1-1886516:13 (2022) - Susu Xu, Joshua Dimasaka, David Jay Wald, Hae Young Noh:
Bayesian Updating of Seismic Ground Failure Estimates via Causal Graphical Models and Satellite Imagery. CoRR abs/2204.07653 (2022) - 2021
- Jian Kang, Rui Jin, Xin Li, Yang Zhang:
Mapping High Spatiotemporal-Resolution Soil Moisture by Upscaling Sparse Ground-Based Observations Using a Bayesian Linear Regression Method for Comparison with Microwave Remotely Sensed Soil Moisture Products. Remote. Sens. 13(2): 228 (2021) - Yingying Mei, Jiayi Li, Deping Xiang, Jingxiong Zhang:
When a Generalized Linear Model Meets Bayesian Maximum Entropy: A Novel Spatiotemporal Ground-Level Ozone Concentration Retrieval Method. Remote. Sens. 13(21): 4324 (2021) - 2020
- Amirhosein Mosavi, Farzaneh Sajedi Hosseini, Bahram Choubin, Massoud Goodarzi, Adrienn Dineva:
Groundwater Salinity Susceptibility Mapping Using Classifier Ensemble and Bayesian Machine Learning Models. IEEE Access 8: 145564-145576 (2020) - Syed Md Touhidul Mustafa, Jiri Nossent, Gert Ghysels, Marijke Huysmans:
Integrated Bayesian Multi-model approach to quantify input, parameter and conceptual model structure uncertainty in groundwater modeling. Environ. Model. Softw. 126: 104654 (2020) - Boujemaa Ait-El-Fquih, Jean-François Giovannelli, Nicolas Paul, Alexandre Girard, Ibrahim Hoteit:
Parametric Bayesian estimation of point-like pollution sources of groundwater layers. Signal Process. 168 (2020) - Ramya Kanlapuli Rajasekaran, Nisar R. Ahmed, Eric W. Frew:
Bayesian Fusion of Unlabeled Vision and RF Data for Aerial Tracking of Ground Targets. IROS 2020: 1629-1636 - Derek S. Prijatelj, Mel McCurrie, Walter J. Scheirer:
A Bayesian Evaluation Framework for Ground Truth-Free Visual Recognition Tasks. CoRR abs/2007.06711 (2020) - 2019
- Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris:
Grounding Language Attributes to Objects using Bayesian Eigenobjects. IROS 2019: 1187-1194 - Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris:
Grounding Language Attributes to Objects using Bayesian Eigenobjects. CoRR abs/1905.13153 (2019) - 2018
- Manuel Queißer, Mike Burton, Domenico Granieri, Matthew Varnam:
Ground-Based Remote Sensing of Volcanic CO2 Fluxes at Solfatara (Italy) - Direct Versus Inverse Bayesian Retrieval. Remote. Sens. 10(1): 125 (2018) - Karis Tenneson, Matthew S. Patterson, Thomas Mellin, Mark Nigrelli, Peter Joria, Brent Mitchell:
Development of a Regional Lidar-Derived Above-Ground Biomass Model with Bayesian Model Averaging for Use in Ponderosa Pine and Mixed Conifer Forests in Arizona and New Mexico, USA. Remote. Sens. 10(3): 442 (2018) - Hong-Kun Lyu, Chi-Ho Park, Dong-Hee Han, Seong Woo Kwak, Byeongdae Choi:
Orchard Free Space and Center Line Estimation Using Naive Bayesian Classifier for Unmanned Ground Self-Driving Vehicle. Symmetry 10(9): 355 (2018) - Albert Bodenmüller:
Bayesian Multi-sensor Data Fusion for Target Identification - Applications in Naval and Ground based Command and Control Systems. SENSORNETS 2018: 107-114 - Boujemaa Ait-El-Fquih, Jean-François Giovannelli, Nicolas Paul, Alexandre Girard, Ibrahim Hoteit:
A Variational Bayesian Estimation Scheme For Parametric Point-Like Pollution Source of Groundwater Layers. SSP 2018: 433-437 - 2017
- He-Qing Mu, Ka-Veng Yuen:
Novel Sparse Bayesian Learning and Its Application to Ground Motion Pattern Recognition. J. Comput. Civ. Eng. 31(5) (2017) - Matthew Coombes, William Eaton, Wen-Hua Chen:
Machine Vision for UAS Ground Operations - Using Semantic Segmentation with a Bayesian Network classifier. J. Intell. Robotic Syst. 88(2-4): 527-546 (2017) - Lei Yang, Lifan Zhao, Song Zhou, Guoan Bi:
Sparsity-Driven SAR Imaging for Highly Maneuvering Ground Target by the Combination of Time-Frequency Analysis and Parametric Bayesian Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(4): 1443-1455 (2017) - Jingwen Zhu, Jing Xu, Chao Zhang, Ya Gao:
Marine Fishing Ground Prediction Based on Bayesian Decision Tree Model. ICMSS 2017: 316-320
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