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06/01/2022
From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics*
Graphs have often been used to answer questions about the interaction be...
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06/20/2021
ExplorerTree: a focus+context exploration approach for 2D embeddings
In exploratory tasks involving high-dimensional datasets, dimensionality...
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08/31/2020
DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods
Pesticide application has been heavily used in the cultivation of major ...
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08/28/2020
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning
Time-series forecasting is one of the most active research topics in pre...
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09/10/2019
Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls
Automated medical prognosis has gained interest as artificial intelligen...
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08/09/2019
Reconstructing commuters network using machine learning and urban indicators
Human mobility has a significant impact on several layers of society, fr...
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04/23/2019
A survey on Big Data and Machine Learning for Chemistry
Herein we review aspects of leading-edge research and innovation in chem...
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06/06/2018
Topological street-network characterization through feature-vector and cluster analysis
Complex networks provide a means to describe cities through their street...
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11/21/2017
A smartphone application to measure the quality of pest control spraying machines via image analysis
The need for higher agricultural productivity has demanded the intensive...
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06/10/2015
BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis
Emergency events involving fire are potentially harmful, demanding a fas...
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06/09/2015
Reviewing Data Visualization: an Analytical Taxonomical Study
This paper presents an analytical taxonomy that can suitably describe, r...
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05/28/2015
