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Publication search results
found 63 matches
- 2024
- Navid Mohammadzadeh, Huy Truong Ba, Michael E. Cholette, Theodore A. Steinberg, Giampaolo Manzolini:
A Stochastic-MILP dispatch optimization model for Concentrated Solar Thermal under uncertainty. CoRR abs/2401.01133 (2024) - 2023
- Saeid Molladavoudi, Wesley Yung:
Exploring quality dimensions in trustworthy Machine Learning in the context of official statistics: model explainability and uncertainty quantification. AStA Wirtschafts und Sozialstatistisches Arch. 17(3): 223-252 (2023) - Achref Doula, Lennart Schmidt, Max Mühlhäuser, Alejandro Sánchez Guinea:
"Can You Handle the Truth?": Investigating the Effects of AR-Based Visualization of the Uncertainty of Deep Learning Models on Users of Autonomous Vehicles. ISMAR 2023: 253-262 - Ferhat Özgür Çatak, Umit Cali, Murat Kuzlu, Salih Sarp:
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks. MECO 2023: 1-4 - Asma Ahmed Hashmi, Artem Agafonov, Aigerim Zhumabayeva, Mohammad Yaqub, Martin Takác:
In Quest of Ground Truth: Learning Confident Models and Estimating Uncertainty in the Presence of Annotator Noise. CoRR abs/2301.00524 (2023) - Junjie Zhang, Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Jun Yang, Le Wan, Xiu Li:
Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning. CoRR abs/2304.04660 (2023) - Ferhat Özgür Çatak, Umit Cali, Murat Kuzlu, Salih Sarp:
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks. CoRR abs/2305.02741 (2023) - Yuqi Wang, Aarzu Gupta, David Carpenter, Trey Mullikin, Zachary J. Reitman, Scott Floyd, John Kirkpatrick, Joseph K. Salama, Paul W. Sperduto, Jian-Guo Liu, Mustafa R. Bashir, Kyle J. Lafata:
A personalized Uncertainty Quantification framework for patient survival models: estimating individual uncertainty of patients with metastatic brain tumors in the absence of ground truth. CoRR abs/2311.17173 (2023) - 2022
- Ke Lyu, Haoxun Chen, Ada Che:
A Bid Generation Problem in Truckload Transportation Service Procurement Considering Multiple Periods and Uncertainty: Model and Benders Decomposition Approach. IEEE Trans. Intell. Transp. Syst. 23(7): 9157-9170 (2022) - Ghalya Alwhishi, Jamal Bentahar, Ahmed Elwhishi:
Three-Valued Model Checking Smart Contract Systems with Trust Under Uncertainty. DBB 2022: 119-133 - Matteo Camilli, Raffaela Mirandola, Patrizia Scandurra, Catia Trubiani:
Towards Online Testing Under Uncertainty Using Model-Based Reinforcement Learning. ECSA (Tracks and Workshops) 2022: 233-245 - Rindra Yusianto, Suprihatin Suprihatin, Hartrisari Hardjomidjojo, Marimin Marimin:
Trust Uncertainty Modeling in Agri-Food Logistic Decision Making. IUKM 2022: 342-354 - Benjamin Lambert, Florence Forbes, Alan Tucholka, Senan Doyle, Harmonie Dehaene, Michel Dojat:
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis. CoRR abs/2210.03736 (2022) - 2021
- Daniel Korzekwa, Jaime Lorenzo-Trueba, Szymon Zaporowski, Shira Calamaro, Thomas Drugman, Bozena Kostek:
Mispronunciation Detection in Non-Native (L2) English with Uncertainty Modeling. ICASSP 2021: 7738-7742 - Matteo Camilli, Angelo Gargantini, Patrizia Scandurra, Catia Trubiani:
Uncertainty-aware Exploration in Model-based Testing. ICST 2021: 71-81 - Paolo Arcaini, Omar Inverso, Catia Trubiani:
Automated model-based performance analysis of software product lines under uncertainty. SPLC (A) 2021: 112 - Simona Bernardi, Michalis Famelis, Jean-Marc Jézéquel, Raffaela Mirandola, Diego Perez-Palacin, Fiona A. C. Polack, Catia Trubiani:
Living with Uncertainty in Model-Based Development. Composing Model-Based Analysis Tools 2021: 159-185 - Daniel Korzekwa, Jaime Lorenzo-Trueba, Szymon Zaporowski, Shira Calamaro, Thomas Drugman, Bozena Kostek:
Mispronunciation Detection in Non-native (L2) English with Uncertainty Modeling. CoRR abs/2101.06396 (2021) - 2020
- Qi Zhang, Edmund H. Durfee, Satinder Singh:
Semantics and algorithms for trustworthy commitment achievement under model uncertainty. Auton. Agents Multi Agent Syst. 34(1): 19 (2020) - Fabio Antonelli, Vittorio Cortellessa, Marco Gribaudo, Riccardo Pinciroli, Kishor S. Trivedi, Catia Trubiani:
Analytical modeling of performance indices under epistemic uncertainty applied to cloud computing systems. Future Gener. Comput. Syst. 102: 746-761 (2020) - Paolo Arcaini, Omar Inverso, Catia Trubiani:
Automated model-based performance analysis of software product lines under uncertainty. Inf. Softw. Technol. 127: 106371 (2020) - Nastaran Hakimi Aghdam, Mehrdad Ashtiani, Mohammad Abdollahi Azgomi:
An uncertainty-aware computational trust model considering the co-existence of trust and distrust in social networks. Inf. Sci. 513: 465-503 (2020) - Piotr Cofta, Cezary Orlowski, Jacek Lebiedz:
Trust-Based Model for the Assessment of the Uncertainty of Measurements in Hybrid IoT Networks. Sensors 20(23): 6956 (2020) - Dylan Slack, Sophie Hilgard, Sameer Singh, Himabindu Lakkaraju:
How Much Should I Trust You? Modeling Uncertainty of Black Box Explanations. CoRR abs/2008.05030 (2020) - 2019
- Andrea Trucchia, Maria Rosaria Mattei, Vincenzo Luongo, Luigi Frunzo, Mélanie C. Rochoux:
Surrogate-based uncertainty and sensitivity analysis for bacterial invasion in multi-species biofilm modeling. Commun. Nonlinear Sci. Numer. Simul. 73: 403-424 (2019) - Xiaodan Zhang, Yanping Gong, Michael Spece:
Trust decision model for online consumer evaluation: Deeper uncertainty integration in evidence theory approach. J. Intell. Fuzzy Syst. 36(5): 4257-4264 (2019) - Truong X. Nghiem, Trong-Doan Nguyen, Viet-Anh Le:
Fast Gaussian Process based Model Predictive Control with Uncertainty Propagation. Allerton 2019: 1052-1059 - Jasper Snoek, Yaniv Ovadia, Emily Fertig, Balaji Lakshminarayanan, Sebastian Nowozin, D. Sculley, Joshua V. Dillon, Jie Ren, Zachary Nado:
Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift. NeurIPS 2019: 13969-13980 - Yaniv Ovadia, Emily Fertig, Jie Ren, Zachary Nado, David Sculley, Sebastian Nowozin, Joshua V. Dillon, Balaji Lakshminarayanan, Jasper Snoek:
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift. CoRR abs/1906.02530 (2019) - David Ruhe, Giovanni Ciná, Michele Tonutti, Daan P. de Bruin, Paul W. G. Elbers:
Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications. CoRR abs/1906.08619 (2019)
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