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Survey Data: Towards Improving Prediction Accuracy and User-Level Explainability Using Deep Learning and Knowledge Graphs: A Study on Cassava Disease (Original data)

Survey Data: Towards Improving Prediction Accuracy and User-Level Explainability Using Deep Learning and Knowledge Graphs: A Study on Cassava Disease (Original data)
Survey Data: Towards Improving Prediction Accuracy and User-Level Explainability Using Deep Learning and Knowledge Graphs: A Study on Cassava Disease (Original data)
This data is part of the paper "Towards improving prediction accuracy and user-level explainability using deep learning and knowledge graphs: A study on cassava disease"
University of Southampton
Chhetri, Tek Raj
c3431de5-4860-43e5-b09f-3dbb752c8490
Chhetri, Tek Raj
c3431de5-4860-43e5-b09f-3dbb752c8490

Chhetri, Tek Raj (2023) Survey Data: Towards Improving Prediction Accuracy and User-Level Explainability Using Deep Learning and Knowledge Graphs: A Study on Cassava Disease (Original data). University of Southampton [Dataset]

Record type: Dataset

Abstract

This data is part of the paper "Towards improving prediction accuracy and user-level explainability using deep learning and knowledge graphs: A study on cassava disease"

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More information

Published date: 2023

Identifiers

Local EPrints ID: 481504
URI: http://eprints.soton.ac.uk/id/eprint/481504
PURE UUID: fc7484c5-4349-41fd-b3f7-ed3d7cf45899
ORCID for Tek Raj Chhetri: ORCID iD orcid.org/0000-0002-3905-7878

Catalogue record

Date deposited: 30 Aug 2023 16:43
Last modified: 31 Aug 2023 02:02

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Contributors

Creator: Tek Raj Chhetri ORCID iD

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