Artur Aiguzhinov
Artur Aiguzhinov
INESCPorto/FEP Unversidade do Porto
Verified email at nvidia.com
Title
Cited by
Cited by
Year
A similarity-based adaptation of naive bayes for label ranking: Application to the metalearning problem of algorithm recommendation
A Aiguzhinov, C Soares, AP Serra
International Conference on Discovery Science, 16-26, 2010
262010
Are rankings of financial analysts useful to investors?
A Aiguzhinov, AP Serra, C Soares
Available at SSRN 2680094, 2015
32015
Understanding rankings of financial analysts
A Aiguzhinov, AP Serra, C Soares
Available at SSRN 2680301, 2015
22015
A Similarity-based Adaption of Naive Bayes for Label Ranking: Application to Metalearning for Algorithm Selection
A Aiguzhinov, C Soares, AP Serra
Planning to Learn Workshop (PlanLearn10) at ECAI, 75-78, 2010
22010
Predicting and understanding the rankings of financial analysts
A Aiguzhinov
PQDT-Global, 2018
2018
Predicting the rankings of financial analysts using machine learning methods.
AA Aiguzhinov
2017
Understanding and predicting rankings of financial analysts
A Aiguzhinov, C Soares
2010
Rankings of financial analysts as means to profits
A Aiguzhinov, C Soares, AP Serra
Doctoral Consortium, 33, 0
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