Browsing by Author "Suzumura, Toyotaro"
Now showing items 1-12 of 12
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2013-2014 Severo Ochoa : Research Seminar Lectures at BSC : book of abstracts
(Barcelona Super Computer Center. Education & Training team, 2014-08-05)
Conference report
Open Access -
A visual embedding for the unsupervised extraction of abstract semantics
(2017-05-01)
Article
Open AccessVector-space word representations obtained from neural network models have been shown to enable semantic operations based on vector arithmetic. In this paper, we explore the existence of similar information on vector ... -
An industrial point of view on next-generation graph computing
(Barcelona Supercomputing Center, 2017-09-10)
Conference report
Open AccessIn the era of big data, the graph models are becoming very popular data models as they can naturally represent many real world problems. Over the past several years, the efforts to accelerate graph computing on supercomputing ... -
An out-of-the-box full-network embedding for convolutional neural networks
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Open AccessFeatures extracted through transfer learning can be used to exploit deep learning representations in contexts where there are very few training samples, where there are limited computational resources, or when the tuning ... -
Building graph representations of deep vector embeddings
(Association for Computational Linguistics, 2017)
Conference lecture
Open AccessPatterns stored within pre-trained deep neural networks compose large and powerful descriptive languages that can be used for many different purposes. Typically, deep network representations are implemented within vector ... -
Comparative analysis of geolocation information through mobile-devices under different COVID-19 mobility restriction patterns in Spain
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-02-13)
Article
Open AccessThe COVID-19 pandemic is changing the world in unprecedented and unpredictable ways. Human mobility, being the greatest facilitator for the spread of the virus, is at the epicenter of this change. In order to study mobility ... -
Efficient and versatile data analytics for deep networks
(Barcelona Supercomputing Center, 2015-05-05)
Conference report
Open AccessDeep networks (DN) perform cognitive tasks related with image and text at human-level. To extract and exploit the knowledge coded within these networks we propose a framework which combines state-of-the-art technology in ... -
Fluid communities: a competitive, scalable and diverse community detection algorithm
(Springer, 2017)
Conference report
Restricted access - publisher's policyWe 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. Fluid Communities is based on the ... -
Full-network embedding in a multimodal embedding pipeline
(Association for Computational Linguistics, 2017)
Conference lecture
Open AccessThe current state-of-the-art for image annotation and image retrieval tasks is obtained through deep neural networks, which combine an image representation and a text representation into a shared embedding space. In this ... -
On the behavior of convolutional nets for feature extraction
(2018-03)
Article
Open AccessDeep neural networks are representation learning techniques. During training, a deep net is capable of generating a descriptive language of unprecedented size and detail in machine learning. Extracting the descriptive ... -
On the representativeness of convolutional neural networks layers
(IOS PRESS EBOOKS, 2016)
Part of book or chapter of book
Open AccessConvolutional Neural Networks (CNN) are the most popular of deep network models due to their applicability and success in image processing. Although plenty of effort has been made in designing and training better discriminative ... -
The impact of COVID-19 on flight networks
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessAs COVID-19 transmissions spread worldwide, governments have announced and enforced travel restrictions to prevent further infections. Such restrictions have a direct effect on the volume of international flights among ...
