1 code implementation • 14 Sep 2023 • Dario Garcia-Gasulla, Victor Gimenez-Abalos, Pablo Martin-Torres
In this work we identify Padding Aware Neurons (PANs), a type of filter that is found in most (if not all) convolutional models trained with static padding.
no code implementations • 1 Aug 2023 • Lucia Urcelay, Daniel Hinjos, Pablo A. Martin-Torres, Marta Gonzalez, Marta Mendez, Salva Cívico, Sergio Álvarez-Napagao, Dario Garcia-Gasulla
In Vitro Fertilization is among the most widespread treatments for infertility.
1 code implementation • 8 Nov 2022 • Adrian Tormos, Dario Garcia-Gasulla, Victor Gimenez-Abalos, Sergio Alvarez-Napagao
In deep learning, transfer learning (TL) has become the de facto approach when dealing with image related tasks.
no code implementations • 21 Mar 2022 • Dmitry Gnatyshak, Dario Garcia-Gasulla, Sergio Alvarez-Napagao, Jamie Arjona, Tommaso Venturini
Studying misinformation and how to deal with unhealthy behaviours within online discussions has recently become an important field of research within social studies.
1 code implementation • 28 Sep 2021 • Anna Arias-Duart, Ferran Parés, Dario Garcia-Gasulla, Victor Gimenez-Abalos
In the field of image recognition many feature attribution methods have been proposed with the purpose of explaining a model's behavior using visual cues.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +1
1 code implementation • 27 Jul 2020 • Ferran Parés, Anna Arias-Duart, Dario Garcia-Gasulla, Gema Campo-Francés, Nina Viladrich, Eduard Ayguadé, Jesús Labarta
In this work we introduce the MAMe dataset, an image classification dataset with remarkable high resolution and variable shape properties.
Ranked #1 on Image Classification on MAMe
no code implementations • 25 Jun 2020 • Ian Walsh, Dmytro Fishman, Dario Garcia-Gasulla, Tiina Titma, Gianluca Pollastri, The ELIXIR Machine Learning focus group, Jen Harrow, Fotis E. Psomopoulos, Silvio C. E. Tosatto
Modern biology frequently relies on machine learning to provide predictions and improve decision processes.
no code implementations • 10 Jun 2020 • Toyotaro Suzumura, Dario Garcia-Gasulla, Sergio Alvarez Napagao, Irene Li, Hiroshi Maruyama, Hiroki Kanezashi, Raquel P'erez-Arnal, Kunihiko Miyoshi, Euma Ishii, Keita Suzuki, Sayaka Shiba, Mariko Kurokawa, Yuta Kanzawa, Naomi Nakagawa, Masatoshi Hanai, Yixin Li, Tianxiao Li
At international level, due to the travel restrictions, the number of international flights has plunged overall at around 88 percent during March.
no code implementations • 4 Jun 2020 • Toyotaro Suzumura, Hiroki Kanezashi, Mishal Dholakia, Euma Ishii, Sergio Alvarez Napagao, Raquel Pérez-Arnal, Dario Garcia-Gasulla, Toshiaki Murofushi
As COVID-19 transmissions spread worldwide, governments have announced and enforced travel restrictions to prevent further infections.
1 code implementation • 22 Apr 2020 • Irene Li, Yixin Li, Tianxiao Li, Sergio Alvarez-Napagao, Dario Garcia-Gasulla, Toyotaro Suzumura
The outbreak of coronavirus disease 2019 (COVID-19) recently has affected human life to a great extent.
no code implementations • 4 Feb 2020 • Mario A. Gutierrez-Mondragon, Dario Garcia-Gasulla, Sergio Alvarez-Napagao, Jaume Brossa-Ordoñez, Rafael Gimenez-Esteban
In this work, we design a methodology to train a Convolutional Neural Network for identifying the level of obstruction in pipes, thus reducing the human effort required on such a frequent and repetitive task.
no code implementations • 26 Nov 2019 • Raquel Pérez-Arnal, Dario Garcia-Gasulla, David Torrents, Ferran Parés, Ulises Cortés, Jesús Labarta, Eduard Ayguadé
Finding tumour genetic markers is essential to biomedicine due to their relevance for cancer detection and therapy development.
1 code implementation • 20 Nov 2019 • Ferran Parés, Dario Garcia-Gasulla, Harald Servat, Jesús Labarta, Eduard Ayguadé
In sight of the increasing importance of problems that can benefit from exploiting high-resolution (HR) and variable-shape, and with the goal of promoting research in that direction, we introduce a new family of datasets (MetH).
no code implementations • 8 Nov 2019 • Victor Gimenez-Abalos, Armand Vilalta, Dario Garcia-Gasulla, Jesus Labarta, Eduard Ayguadé
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.
1 code implementation • 21 Dec 2018 • Hiroki Kanezashi, Toyotaro Suzumura, Dario Garcia-Gasulla, Min-hwan Oh, Satoshi Matsuoka
We propose an incremental graph pattern matching algorithm to deal with time-evolving graph data and also propose an adaptive optimization system based on reinforcement learning to recompute vertices in the incremental process more efficiently.
Databases
no code implementations • 24 Apr 2018 • Raquel Pérez-Arnal, Armand Vilalta, Dario Garcia-Gasulla, Ulises Cortés, Eduard Ayguadé, Jesus Labarta
WordNet, which includes a wide variety of concepts associated with words (i. e., synsets), is often used as a source for computing those distances.
no code implementations • WS 2017 • Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Jonatan Moreno, Eduard Ayguadé, Jesus Labarta, Ulises Cortés, Toyotaro Suzumura
Patterns stored within pre-trained deep neural networks compose large and powerful descriptive languages that can be used for many different purposes.
no code implementations • WS 2017 • Armand Vilalta, Dario Garcia-Gasulla, Ferran Parés, Eduard Ayguadé, Jesus Labarta, Ulises Cortés, Toyotaro Suzumura
In this paper we evaluate the impact of using the Full-Network embedding in this setting, replacing the original image representation in a competitive multimodal embedding generation scheme.
no code implementations • ICLR 2018 • Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés, Jonatan Moreno, Eduard Ayguadé, Jesus Labarta, Ulises Cortés, Toyotaro Suzumura
Transfer learning for feature extraction can be used to exploit deep representations in contexts where there is very few training data, where there are limited computational resources, or when tuning the hyper-parameters needed for training is not an option.
2 code implementations • 27 Mar 2017 • Ferran Parés, Dario Garcia-Gasulla, Armand Vilalta, Jonatan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura
We introduce a community detection algorithm (Fluid Communities) based on the idea of fluids interacting in an environment, expanding and contracting as a result of that interaction.
Data Structures and Algorithms Social and Information Networks Physics and Society
no code implementations • 3 Mar 2017 • Dario Garcia-Gasulla, Ferran Parés, Armand Vilalta, Jonatan Moreno, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura
We seek to provide new insights into the behavior of CNN features, particularly the ones from convolutional layers, as this can be relevant for their application to knowledge representation and reasoning.
no code implementations • 2 Nov 2016 • Dario Garcia-Gasulla, Eduard Ayguadé, Jesús Labarta, Ulises Cortés
Link prediction, the problem of identifying missing links among a set of inter-related data entities, is a popular field of research due to its application to graph-like domains.