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- W3018232298 abstract "Deep learning image classifiers are extensively used in document processing, activity monitoring, object recognition and separations etc. However, even the best classifiers are not free from errors. It would be very helpful if the errors that are pumped in to the system due to the classifier decisions are reduced. The framework comprises of heat map generation, attribute generation, text explanation generation and activation." @default.
- W3018232298 created "2020-05-01" @default.
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- W3018232298 date "2019-11-01" @default.
- W3018232298 modified "2023-09-24" @default.
- W3018232298 title "Unified framework of Explainable AI to enhance classifier performance" @default.
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- W3018232298 doi "https://doi.org/10.1109/ghci47972.2019.9071811" @default.
- W3018232298 hasPublicationYear "2019" @default.
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