8 citations · 59 across the 37 of their papers we have counts for
4 papers · 1 filter
Random Forest as a Tumour Genetic Marker Extractor
Raquel Pérez-Arnal, Dario Garcia-Gasulla, David Torrents +4
Finding tumour genetic markers is essential to biomedicine due to their relevance for cancer detection and therapy development. In this paper, we explore a recently released datase…
Towards a Goal-oriented Agent-based Simulation framework for High-Performance Computing
Dmitry Gnatyshak, Luis Oliva-Felipe, Sergio Álvarez-Napagao +4
Currently, agent-based simulation frameworks force the user to choose between simulations involving a large number of agents (at the expense of limited agent reasoning capability)…
Feature discriminativity estimation in CNNs for transfer learning
Victor Gimenez-Abalos, Armand Vilalta, Dario Garcia-Gasulla +2
The purpose of feature extraction on convolutional neural networks is to reuse deep representations learnt for a pre-trained model to solve a new, potentially unrelated problem. Ho…
MetH: A family of high-resolution and variable-shape image challenges
Ferran Parés, Dario Garcia-Gasulla, Harald Servat +2
High-resolution and variable-shape images have not yet been properly addressed by the AI community. The approach of down-sampling data often used with convolutional neural networks…