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FIDES: An ontology-based approach for making machine learning systems accountable.

, , , and . J. Web Semant., (December 2023)

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Short-Term Forecasting Methodology for Energy Demand in Residential Buildings and the Impact of the COVID-19 Pandemic on Forecasts., , and . SGAI Conf., volume 12498 of Lecture Notes in Computer Science, page 227-240. Springer, (2020)IoT Integration based on Semantic Technologies for Energy Efficiency in Buildings., and . GIoTS, page 1-6. IEEE, (2018)An Ontology-Driven Approach to Support Data Analysts with Thermal Comfort Problems in the Built Environment., , and . LDAC@ESWC, volume 3213 of CEUR Workshop Proceedings, page 8-19. CEUR-WS.org, (2022)Semantic Technologies Towards Missing Values Imputation., , and . IEA/AIE (1), volume 12798 of Lecture Notes in Computer Science, page 191-196. Springer, (2021)Semantic Interoperability for Demand-Response programs: RESPOND project's use case., , , , , , and . GIoTS, page 1-6. IEEE, (2018)Two ODPs Towards the Notion of Influenceable Features of Interest., , , and . WOP (Book), volume 51 of Studies on the Semantic Web, page 89-106. IOS Press, (2021)Towards defining data usage restrictions in the built environment., and . LDAC, volume 2636 of CEUR Workshop Proceedings, page 37-49. CEUR-WS.org, (2020)Can Ontologies help making Machine Learning Accountable? (Extended Abstract).. DAO-XAI, volume 2998 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)FIDES: An ontology-based approach for making machine learning systems accountable., , , and . J. Web Semant., (December 2023)Towards a Semantic Outlier Detection Framework in Wireless Sensor Networks., , , , and . SEMANTiCS, page 152-159. ACM, (2017)