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Woonghee Lee, Mingeon Ju, Yura Sim, Young Kul Jung, Tae Hyung Kim and Younghoon Kim
Deep learning-based segmentation models have made a profound impact on medical procedures, with U-Net based computed tomography (CT) segmentation models exhibiting remarkable performance. Yet, even with these advances, these models are found to be vulner...
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Gursu Gurer, Yaser Dalveren, Ali Kara and Mohammad Derawi
The automatic dependent surveillance broadcast (ADS-B) system is one of the key components of the next generation air transportation system (NextGen). ADS-B messages are transmitted in unencrypted plain text. This, however, causes significant security vu...
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Philipp Gabler, Bernhard C. Geiger, Barbara Schuppler and Roman Kern
Superficially, read and spontaneous speech?the two main kinds of training data for automatic speech recognition?appear as complementary, but are equal: pairs of texts and acoustic signals. Yet, spontaneous speech is typically harder for recognition. This...
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Francisco-David Hernandez, Domingo Cortes, Marco Antonio Ramirez-Salinas and Luis Alfonso Villa-Vargas
In control research and design it is frequently necessary to explore, evaluate, tune and compare many control strategies. These activities are assisted by software tools of increasing complexity; however, even with the existing high performance tools the...
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Luis-Gil Moreno-Jiménez, Juan-Manuel Torres-Moreno and Roseli Suzi. Wedemann
In this paper, we describe a model for the automatic generation of literary sentences in French. Although there has been much recent effort directed towards automatic text generation in general, the generation of creative, literary sentences that is not ...
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