37 citations · 56 across the 2 of their papers we have counts for
2 papers
cs.CV2020★ 37 cited
Learning from Few Samples: A Survey
Nihar Bendre, Hugo Terashima Marín, Peyman Najafirad
Deep neural networks have been able to outperform humans in some cases like image recognition and image classification. However, with the emergence of various novel categories, the…
cs.AI2018★ 19 cited
Enhancing Selection Hyper-heuristics via Feature Transformations
I. Amaya, J. C. Ortiz-Bayliss, A. Rosales-Pérez +4
Hyper-heuristics are a novel tool. They deal with complex optimization problems where standalone solvers exhibit varied performance. Among such a tool reside selection hyper-heuris…