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New Proportion Measures of Discrimination Based on Natural Direct and Indirect Effects
Discrimination-aware data mining is expected to play an important role in data-driven decision making, as “BIG data” can be obtained from the actual society. To build the appropriate decision making system, AI researchers and practitioners have proposed various discrimination measures. However, most of the existing discrimination measures cannot be interpreted as the “proportion” and thus may not provide the comparable evaluation of the discrimination level. To evaluate how much of discrimination is based on a sensitive feature directly, indirectly, or totally, we propose three proportion measures of discrimination using natural direct and indirect effects [12]. The effectiveness of the proposed discrimination measures is confirmed on Adult Census Data [2].18th International Symposium on Artificial Intelligence and Mathematics, ISAIM 2024
Fort Lauderdale, FL, USA, January 8–10, 202
Design of single-electron information-processing circuit for particle computation
We propose a unique single-electron (SE) circuit to perform particle computation. The circuit is composed of “commanding direction for particles” circuits and “collision detection” circuits, both of which are composed of single electron oscillators (SEOs). In this study, we designed and simulated a 2-input particle computation logic gate with two particles and two commands. As results, we confirmed that our circuit operated correctly as desired.IEEE Silicon Nanoelectronics Workshop 2024
June 15-16, 2024
Hilton Hawaiian Village, Honolulu, HI, US
A study on structural performance of short-span beams using steel fiber-reinforced concrete
横浜国立大学博士(工学
Effect of injection pressure and air supply method on NOx emission in non-premixed hydrogen combustion
横浜国立大学博士(工学
Development of a floating-type ocean current turbine system and the demonstration test in actual sea area
横浜国立大学博士(工学