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SoccerKicks: A Dataset of 3D dead ball kicks reference movements for humanoid robots
(2021-01-01)
The possibility of robots imitating reference movements performed by experts recently emerged in the Machine Learning context. Based on Deep Reinforcement Learning (DRL), this process focuses on observing a reference ...
A Review of Data Sources for the Study of Ageing
(IEEE, 2021)
The understanding of human ageing contributes to
the overall improvement of healthcare and opens the door to the
increase of life expectancy and quality of life. Studies on human
ageing, which are evidence-based, require ...
Dataset and Baselines for IID and OOD Image Classification Considering Data Quality and Evolving Environments
At present, artificial intelligence is in a period of rapid development, and deep learning has begun to be applied in various fields. Data, as a key part of the deep learning, its efficiency and stability, will directly ...
Comparing de novo and reference-based transcriptome assembly strategies by applying them to the blood-sucking bug Rhodnius prolixus
(Elsevier B. V., 2015-05-22)
High Throughput Sequencing capabilities have made the process of assembling a transcriptome easier, whether or not there is a reference genome. But the quality of a transcriptome assembly must be good enough to capture the ...
Atlantic small-mammal: a dataset of communities of rodents and marsupials of the Atlantic forests of South America
(2017-08-01)
The contribution of small mammal ecology to the understanding of macroecological patterns of biodiversity, population dynamics, and community assembly has been hindered by the absence of large datasets of small mammal ...
A novel strategy to uncover specific GO terms/phosphorylation pathways in phosphoproteomic data in Arabidopsis thaliana
(BioMed Central, 2021-12-14)
Background: Proteins are the workforce of the cell and their phosphorylation status tailors specific responses efficiently. One of the main challenges of phosphoproteomic approaches is to deconvolute biological processes ...
A BFS-Tree of ranking references for unsupervised manifold learning
(2021-03-01)
Contextual information, defined in terms of the proximity of feature vectors in a feature space, has been successfully used in the construction of search services. These search systems aim to exploit such information to ...
On the robustness of standalone referring expression generation algorithms using RDF data
(2016)
A sub-task of Natural Language Generation (NLG) is the generation of referring expressions (REG). REG algorithms are expected to select attributes that unambiguously identify an entity with respect to a set of distractors. ...