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explainability
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COVID-19
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variable selection
(1)
transparency and fairness in AI
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transparency
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song recommendation
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socio-economic determinants
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Insights into Predicting Tooth Extraction from Panoramic Dental Images: Artificial Intelligence vs. Dentists
2024 .
Motmaen, Ila
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Xie, Kunpeng
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Schönbrunn, Leon
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Berens, Jeff
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Grunert, Kim
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Plum, Anna Maria
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Raufeisen, Johannes
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Ferreira, André
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Hermans, Alexander
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Egger, Jan
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Hölzle, Frank
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Truhn, Daniel
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Puladi, Behrus
2024
http://purl.org/ontology/bibo/Article
DaMaLOS 2023 Editorial Note
2023 .
Castro, Leyla Jael
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Dessì, Danilo
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Dierkes, Jens
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Rebholz-Schuhmann, Dietrich
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Schimmler, Sonja
2023
http://purl.org/ontology/bibo/Proceedings
An Explainable Intervention Prediction for Trauma Patients - Poster
2023 .
Vasileiou, Zoe
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Meditskos, Georgios
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Vrochidis, Stefanos
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Bassiliades, Nick
2023
http://purl.org/ontology/bibo/Proceedings
Explainable artificial intelligence and interpretable machine learning for agricultural data analysis
2022 .
Ryo, Masahiro
2022
http://purl.org/ontology/bibo/Article
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learning
2022 .
Gunraj, Hayden
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Sabri, Ali
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Koff, David
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Wong, Alexander
2022
http://purl.org/ontology/bibo/Article
Sequence-Based Explainable Hybrid Song Recommendation
2021 .
Damak, Khalil
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Nasraoui, Olfa
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Sanders, William Scott
2021
http://purl.org/ontology/bibo/Article
IEEE P7001: A Proposed Standard on Transparency
2021 .
Winfield, Alan F. T.
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Booth, Serena
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Dennis, Louise A.
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Egawa, Takashi
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Hastie, Helen
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Jacobs, Naomi
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Muttram, Roderick I.
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Olszewska, Joanna I.
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Rajabiyazdi, Fahimeh
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Theodorou, Andreas
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Underwood, Mark A.
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Wortham, Robert H.
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Watson, Eleanor
2021
http://purl.org/ontology/bibo/Article
Societal and economic factors associated with COVID-19 indicate that developing countries could suffer the most
2020 .
Selvitella, Alessandro Maria
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Foster, Kathleen Lois
2020
http://purl.org/ontology/bibo/Article