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'A Nova Eletricidade: Aplica\c{c}\~oes, Riscos e Tend\^encias da IA Moderna -- 'The New Electricity': Applications, Risks, and Trends in Current AI

Autor: Bazzan, Ana L. C., Tavares, Anderson R., Pereira, André G., Jung, Cláudio R., Scharcanski, Jacob, Carbonera, Joel Luis, Lamb, Luís C., Recamonde-Mendoza, Mariana, da Silveira, Thiago L. T., Moreira, Viviane

The thought-provoking analogy between AI and electricity, made by computer scientist and entrepreneur Andrew Ng, summarizes the deep transformation that recent advances in Artificial Intelligence (AI) have triggered in the world. This chapter present

Externí odkaz: http://arxiv.org/abs/2310.18324

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Cell Tracking-by-detection using Elliptical Bounding Boxes

Autor: Kirsten, Lucas N., Jung, Cláudio R.

Cell detection and tracking are paramount for bio-analysis. Recent approaches rely on the tracking-by-model evolution paradigm, which usually consists of training end-to-end deep learning models to detect and track the cells on the frames with promis

Externí odkaz: http://arxiv.org/abs/2310.04895

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Improving the Classification of Rare Chords with Unlabeled Data

Autor: Bortolozzo, Marcelo, Schramm, Rodrigo, Jung, Claudio R.

In this work, we explore techniques to improve performance for rare classes in the task of Automatic Chord Recognition (ACR). We first explored the use of the focal loss in the context of ACR, which was originally proposed to improve the classificati

Externí odkaz: http://arxiv.org/abs/2012.07055

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Superpixel Image Classification with Graph Attention Networks

Autor: Avelar, Pedro H. C., Tavares, Anderson R., da Silveira, Thiago L. T., Jung, Cláudio R., Lamb, Luís C.

This paper presents a methodology for image classification using Graph Neural Network (GNN) models. We transform the input images into region adjacency graphs (RAGs), in which regions are superpixels and edges connect neighboring superpixels. Our exp

Externí odkaz: http://arxiv.org/abs/2002.05544

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