79 citations · 174 across the 39 of their papers we have counts for
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cs.LG2025
Intrinsic Dimensionality as a Model-Free Measure of Class Imbalance
Çağrı Eser, Zeynep Sonat Baltacı, Emre Akbaş +1
Imbalance in classification tasks is commonly quantified by the cardinalities of examples across classes. This, however, disregards the presence of redundant examples and inherent…
cs.LG2017★ 4 cited
Supervised Infinite Feature Selection
Sadegh Eskandari, Emre Akbas
In this paper, we present a new feature selection method that is suitable for both unsupervised and supervised problems. We build upon the recently proposed Infinite Feature Select…
cs.LG2011★ 5 cited
MIS-Boost: Multiple Instance Selection Boosting
Emre Akbas, Bernard Ghanem, Narendra Ahuja
In this paper, we present a new multiple instance learning (MIL) method, called MIS-Boost, which learns discriminative instance prototypes by explicit instance selection in a boost…