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de Sá, A.G.C
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de Sá, A.G.C
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de Sá, A.G.C
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1
MmCSM-NA: Accurately predicting effects of single and multiple mutations on protein-nucleic acid binding affinity
by
Ascher, D.B
,
De
Sá
,
A.G.C
,
Myung, Y.
,
Nguyen, T.B
,
Pires, D.E.V
Published 2021
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2
An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms
by
Barros, R.C
,
Basgalupp, M.P
,
de Carvalho, A.C.P.L.F
,
de
Sá
,
A.G.C
,
Freitas, A.A
,
Mantovani, R.G
,
Pappa, G.L
Published 2021
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Related Subjects
Algorithm recommendation
Article
Automated machine learning
Bayesian network classification
Bayesian networks
Classification
Classification (of information)
Classification algorithm
Classification models
Controlled experiment
DNA protein complex
Decision tree induction
Decision trees
Evolutionary algorithms
Evolutionary algorithms (EAs)
Experimental comparison
Experimental evaluation
Large dataset
Learning algorithms
Machine learning
Meta-learning
Parameter estimation
adaboost
artificial neural network
binding affinity
classification
comparative study
controlled study
correlation coefficient
cross validation
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