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THE EVALUATION OF NEUTRON NUCLEAR DATA
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Topical Digest - NI Assembly
Interpretability is a key characteristic that AI systems should provide in a user friendly way, to provide trust in its outcomes. Deeper understanding of the ...
Towards increased interpretability of ai-tools in the energy sector ...
Objective: The goal of our study is to provide a clear overview and characterization of the types of TD (both established and new ones) that appear in AI-based ...
AI in SAS II - Emre H Brookes EMBO Practical - ILL workshops (Indico)
Assume, without loss of generality, for i = 1,..., K, that ?1 < ··· < ?K along with b1 < ··· < bK . Let ?i = FP (bi ) for i = 1,..., K. Define the intervals Ai ...
Characterizing Technical Debt and Antipatterns in AI-Based Systems
On the contrary, black box attacks do not require complete visibility into the models but suffer from inefficiency and require too many queries to create the ...
Robustness Assessment of Black-box Models
This paper includes both a complete mapping to individual black box test scripts, and a systematic method for analysis. -4-. Page 11. Attempts to provide ...