  This extended abstract describes the participation of RECOD Titans in parts 1
to 3 of the ISIC Challenge 2018 "Skin Lesion Analysis Towards Melanoma
Detection" (MICCAI 2018). Although our team has a long experience with melanoma
classification and moderate experience with lesion segmentation, the ISIC
Challenge 2018 was the very first time we worked on lesion attribute detection.
For each task we submitted 3 different ensemble approaches, varying
combinations of models and datasets. Our best results on the official testing
set, regarding the official metric of each task, were: 0.728 (segmentation),
0.344 (attribute detection) and 0.803 (classification). Those submissions
reached, respectively, the 56th, 14th and 9th places.
