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Artificial intelligence with deep convolutional neural network-based clinical decision-making on kidney Oncology using multimodal imaging. [PDF]
Katib I +6 more
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Artificial intelligence in rheumatoid arthritis: current applications and future perspectives. [PDF]
Sun Z +8 more
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DRSA: Accelerating Macro Placement on Commercial FPGAs
FPGAs are highly versatile devices, but their backend compilation process is significantly time-consuming. DynaRapid has demonstrated the potential to drastically reduce compilation times to mere seconds by leveraging macro-component-based design ...
Menzo Bouaissi +3 more
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Rule Based Predictions for Loan Defaults of Used Cars Based on DRSA and FCA
2022 International Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2022Numerous algorithms and frameworks have been proposed by scholars to solve credit scoring problems in the past. Only a few studies have examined the factors affecting second car loan default.
Chi-Yo Huang, Yeou-Feng Lue
exaly +4 more sources
On Performance of DRSA-ANN Classifier
Lecture Notes in Computer Science, 2011Rule-based and connectionist classifiers are typically named as two different approaches to recognition tasks. The first relies on induction of a set of rules that list conditions to be met for a decision to be applicable, while the latter means distribution of data and processing.
Urszula Stańczyk
exaly +4 more sources
On Preference Order of DRSA Conditional Attributes for Computational Stylistics
Lecture Notes in Computer Science, 2013Computational stylistics (or stylometry) advocates that any writing style can be uniquely defined by quantitative measures. The patterns observed in textual descriptors are specific to authors in such high degree that it enables their recognition. In processing there can be employed techniques from artificial intelligence domain such as Dominance-Based
Urszula Stańczyk
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Incremental method of updating approximations in DRSA under variations of multiple objects
International Journal of Machine Learning and Cybernetics, 2015Dominance-based rough sets approach (DRSA) uses dominance relations to substitute equivalence relations in conventional rough set models so that it can handle preference-ordered information. Up to date, DRSA has been widely used in multi-criteria decision-making problems.
Yan Li, Yongfei Jin, Xiao-Dian Sun
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