activity
20172022
most citedTowards an automated method based on Iterated Local Search optimization for tuning the parameters of Support Vector Machines

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Untrimmed Action Anticipation

Ivan Rodin, Antonino Furnari, Dimitrios Mavroeidis +1

Egocentric action anticipation consists in predicting a future action the camera wearer will perform from egocentric video. While the task has recently attracted the attention of t…

cs.CV2021

Predicting the Future from First Person (Egocentric) Vision: A Survey

Ivan Rodin, Antonino Furnari, Dimitrios Mavroedis +1

Egocentric videos can bring a lot of information about how humans perceive the world and interact with the environment, which can be beneficial for the analysis of human behaviour.…

cs.LG2018

Anomaly Detection for imbalanced datasets with Deep Generative Models

Nazly Rocio Santos Buitrago, Loek Tonnaer, Vlado Menkovski +1

Many important data analysis applications present with severely imbalanced datasets with respect to the target variable. A typical example is medical image analysis, where positive…

cs.CV2018

Towards radiologist-level cancer risk assessment in CT lung screening using deep learning

Stojan Trajanovski, Dimitrios Mavroeidis, Christine Leon Swisher +11

Importance: Lung cancer is the leading cause of cancer mortality in the US, responsible for more deaths than breast, prostate, colon and pancreas cancer combined and it has been re…

cs.AI20171 cited

Towards an automated method based on Iterated Local Search optimization for tuning the parameters of Support Vector Machines

Sergio Consoli, Jacek Kustra, Pieter Vos +2

We provide preliminary details and formulation of an optimization strategy under current development that is able to automatically tune the parameters of a Support Vector Machine o…