97 citations · 160 across the 6 of their papers we have counts for
7 papers
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features
Christiaan G. A. Viviers, Mark Ramaekers, Peter H. N. de With +4
Pancreatic cancer is one of the global leading causes of cancer-related deaths. Despite the success of Deep Learning in computer-aided diagnosis and detection (CAD) methods, little…
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…
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.…
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…
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…
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…
Multiscale Event Detection in Social Media
Xiaowen Dong, Dimitrios Mavroeidis, Francesco Calabrese +1
Event detection has been one of the most important research topics in social media analysis. Most of the traditional approaches detect events based on fixed temporal and spatial re…