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07/06/2022
The use of Synthetic Data to solve the scalability and data availability problems in Smart City Digital Twins
The A.I. disruption and the need to compete on innovation are impacting ...
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09/14/2021
A trainable monogenic ConvNet layer robust in front of large contrast changes in image classification
Convolutional Neural Networks (ConvNets) at present achieve remarkable p...
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09/29/2020
Signs for Ethical AI: A Route Towards Transparency
Artificial Intelligence (AI) has recently raised to the point where it h...
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11/26/2019
Random Forest as a Tumour Genetic Marker Extractor
Finding tumour genetic markers is essential to biomedicine due to their ...
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11/22/2019
Towards a Goal-oriented Agent-based Simulation framework for High-Performance Computing
Currently, agent-based simulation frameworks force the user to choose be...
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04/24/2018
A Visual Distance for WordNet
Measuring the distance between concepts is an important field of study o...
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07/24/2017
Full-Network Embedding in a Multimodal Embedding Pipeline
The current state-of-the-art for image annotation and image retrieval ta...
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07/24/2017
Building Graph Representations of Deep Vector Embeddings
Patterns stored within pre-trained deep neural networks compose large an...
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05/22/2017
An Out-of-the-box Full-network Embedding for Convolutional Neural Networks
Transfer learning for feature extraction can be used to exploit deep rep...
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03/03/2017
On the Behavior of Convolutional Nets for Feature Extraction
Deep neural networks are representation learning techniques. During trai...
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11/02/2016
Limitations and Alternatives for the Evaluation of Large-scale Link Prediction
Link prediction, the problem of identifying missing links among a set of...
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06/03/2011