201 citations · 240 across the 13 of their papers we have counts for
3 papers · 1 filter
AttrE2vec: Unsupervised Attributed Edge Representation Learning
Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla
Representation learning has overcome the often arduous and manual featurization of networks through (unsupervised) feature learning as it results in embeddings that can apply to a…
LNEMLC: Label Network Embeddings for Multi-Label Classification
Piotr Szymański, Tomasz Kajdanowicz, Nitesh Chawla
Multi-label classification aims to classify instances with discrete non-exclusive labels. Most approaches on multi-label classification focus on effective adaptation or transformat…
Is a Data-Driven Approach still Better than Random Choice with Naive Bayes classifiers?
Piotr Szymański, Tomasz Kajdanowicz
We study the performance of data-driven, a priori and random approaches to label space partitioning for multi-label classification with a Gaussian Naive Bayes classifier. Experimen…