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1 Ergebnisse
1
SAMCNet: Towards a Spatially Explainable AI Approach for Cl..:
, In:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Farhadloo, Majid
;
Molnar, Carl
;
Luo, Gaoxiang
... - p. 2860-2870 , 2022
Link:
https://dl.acm.org/doi/10.1145/3534678.3539168
RT T1 <cTitle>Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3539168&Exemplar=1&LAN=DE A1 Farhadloo, Majid A1 Molnar, Carl A1 Luo, Gaoxiang A1 Li, Yan A1 Shekhar, Shashi A1 Maus, Rachel L. A1 Markovic, Svetomir A1 Leontovich, Alexey A1 Moore, Raymond PB ACM YR 2022 K1 mxif K1 oncology K1 spatial interactions K1 spatially explainable classifier K1 Computing methodologies K1 Artificial intelligence K1 Knowledge representation and reasoning K1 Spatial and physical reasoning SP 2860 OP 2870 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3534678.3539168 DO https://dl.acm.org/doi/10.1145/3534678.3539168 SF ELIB - SuUB Bremen
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