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04/26/2022
Automated Generation of High-Performance Computational Fluid Dynamics Codes
Domain-Specific Languages (DSLs) improve programmers productivity by dec...
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09/23/2020
Enhancing Resource Management through Prediction-based Policies
Task-based programming models are emerging as a promising alternative to...
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09/18/2020
Generating Efficient DNN-Ensembles with Evolutionary Computation
In this work, we leverage ensemble learning as a tool for the creation o...
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09/07/2020
Asynchronous Runtime with Distributed Manager for Task-based Programming Models
Parallel task-based programming models, like OpenMP, allow application d...
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07/27/2020
A Closer Look at Art Mediums: The MAMe Image Classification Dataset
Art is an expression of human creativity, skill and technology. An excep...
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06/30/2020
Extending the OpenCHK Model with Advanced Checkpoint Features
One of the major challenges in using extreme scale systems efficiently i...
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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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11/20/2019
MetH: A family of high-resolution and variable-shape image challenges
High-resolution and variable-shape images have not yet been properly add...
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11/08/2019
Feature discriminativity estimation in CNNs for transfer learning
The purpose of feature extraction on convolutional neural networks is to...
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05/14/2019
Resource-aware Elastic Swap Random Forest for Evolving Data Streams
Continual learning based on data stream mining deals with ubiquitous sou...
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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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04/14/2018
Low-Precision Floating-Point Schemes for Neural Network Training
The use of low-precision fixed-point arithmetic along with stochastic ro...
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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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04/28/2016