US 11,681,928 B2
Refinement of a predicted event based on explainability data
Larisa Shwartz, Greenwich, CT (US); Frank Bagehorn, Dottikon (CH); Jinho Hwang, Ossining, NY (US); Marcos Vinicius L. Paraiso, Campinas (BR); Rafal Bigaj, Cracow (PL); Vidhya Shankar Venkatesan, Bangalore (IN); Dorothea Wiesmann Rothuizen, Oberrieden (CH); and Amol Bhaskar Mahamuni, Bangalore (IN)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Feb. 6, 2019, as Appl. No. 16/269,125.
Prior Publication US 2020/0250548 A1, Aug. 6, 2020
Int. Cl. G06F 9/54 (2006.01); G06N 5/022 (2023.01); G06F 11/07 (2006.01)
CPC G06N 5/022 (2013.01) [G06F 9/542 (2013.01); G06F 11/0793 (2013.01)] 14 Claims
OG exemplary drawing
 
6. A computer-implemented method, comprising:
identifying, by a system operatively coupled to a processor, a probable cause of a predicted event based on explainability data;
executing, by the system, a diagnostic analysis based on the probable cause; and
validating, by the system, the predicted event based on at least one of the diagnostic analysis or domain data.