Search Results - "Fadel, Samuel G."

Visualizing the Hidden Activity of Artificial Neural Networks by Rauber, Paulo E., Fadel, Samuel G., Falcao, Alexandre X., Telea, Alexandru C.

“…In machine learning, pattern classification assigns high-dimensional vectors (observations) to classes based on generalization from examples. Artificial neural…”
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Contextual movement models based on normalizing flows by Fadel, Samuel G, Mair, Sebastian, da Silva Torres, Ricardo, Brefeld, Ulf

“…Movement models predict positions of players (or objects in general) over time and are thus key to analyzing spatiotemporal data as it is often used in sports…”
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Exploiting ConvNet Diversity for Flooding Identification by Nogueira, Keiller, Fadel, Samuel G., Dourado, Icaro C., de O. Werneck, Rafael, Munoz, Javier A. V., Penatti, Otavio A. B., Calumby, Rodrigo T., Li, Lin Tzy, dos Santos, Jefersson A., Torres, Ricardo da S.

“…Flooding is the world's most costly type of natural disaster in terms of both economic losses and human causalities. A first and essential procedure toward…”
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Neural relational inference for disaster multimedia retrieval by Fadel, Samuel G., Torres, Ricardo da S.

“…Events around the world are increasingly documented on social media, especially by the people experiencing them, as these platforms become more popular over…”
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LoCH: A neighborhood-based multidimensional projection technique for high-dimensional sparse spaces by Fadel, Samuel G., Fatore, Francisco M., Duarte, Felipe S.L.G., Paulovich, Fernando V.

“…On the last few years multidimensional projection techniques have advanced towards defining faster and user-centered approaches. However, most of existing…”
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UPDis: A user-assisted projection technique for distance information by Neves, Tácito TAT, Fadel, Samuel G, Hilasaca, Gladys M, Fatore, Francisco M, Paulovich, Fernando V

“…Multidimensional projection techniques have become essential analytical tools. Typically, they map data from a high-dimensional space into a low-dimensional…”
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Nmap: A Novel Neighborhood Preservation Space-filling Algorithm by Duarte, Felipe S. L. G., Sikansi, Fabio, Fatore, Francisco M., Fadel, Samuel G., Paulovich, Fernando V.

“…Space-filling techniques seek to use as much as possible the visual space to represent a dataset, splitting it into regions that represent the data elements…”
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Leveraging Activations for Superpixel Explanations by Boubekki, Ahcène, Fadel, Samuel G, Mair, Sebastian

“…Saliency methods have become standard in the explanation toolkit of deep neural networks. Recent developments specific to image classifiers have investigated…”
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Graph-Based Early-Fusion for Flood Detection by De O. Werneck, Rafael, Dourado, Icaro C., Fadel, Samuel G., Tabbone, Salvatore, Da S. Torres, Ricardo

“…Flooding is one of the most harmful natural disasters, as it poses danger to both buildings and human lives. Therefore, it is fundamental to monitor these…”
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Self-Supervised Siamese Autoencoders by Baier, Friederike, Mair, Sebastian, Fadel, Samuel G

“…Fully supervised models often require large amounts of labeled training data, which tends to be costly and hard to acquire. In contrast, self-supervised…”
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Link Prediction in Dynamic Graphs for Recommendation by Fadel, Samuel G, Torres, Ricardo da S

“…Recent advances in employing neural networks on graph domains helped push the state of the art in link prediction tasks, particularly in recommendation…”
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Principled Interpolation in Normalizing Flows by Fadel, Samuel G, Mair, Sebastian, Torres, Ricardo da S, Brefeld, Ulf

“…Generative models based on normalizing flows are very successful in modeling complex data distributions using simpler ones. However, straightforward linear…”
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Exploiting ConvNet Diversity for Flooding Identification by Nogueira, Keiller, Fadel, Samuel G, Dourado, Ícaro C, Werneck, Rafael de O, Muñoz, Javier A. V, Penatti, Otávio A. B, Calumby, Rodrigo T, Li, Lin Tzy, Santos, Jefersson A. dos, Torres, Ricardo da S

“…Flooding is the world's most costly type of natural disaster in terms of both economic losses and human causalities. A first and essential procedure towards…”
Get full text