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Vladimir Estivill-Castro, Eugene Gilmore and René Hexel
Interactive machine learning (IML) enables the incorporation of human expertise because the human participates in the construction of the learned model. Moreover, with human-in-the-loop machine learning (HITL-ML), the human experts drive the learning, an...
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Changhun Han, Apsara Abeysiriwardhane, Shuhong Chai and Ananda Maiti
Many autonomous ship projects have reflected the increasing interest in incorporating the concept of autonomy into the maritime transportation sector. However, autonomy is not a silver bullet, as exemplified by many incidents in the past involving human ...
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Halimah Abdul Manaf,Mohamad Nur Salam Man
Pág. pp. 185 - 192
Every democratic government always in their goals in achieving inclusiveness in every decision-making process which will prevail in their efforts achieving the full principle of democracy, transparent, accountable, and good governance. Hence, e-participa...
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Markus Rabe, Majsa Ammouriova, Dominik Schmitt and Felix Dross
The distribution process in business-to-business materials trading is among the most complex and in transparent ones within logistics. The highly volatile environment requires continuous adaptations by the responsible decision-makers, who face a substant...
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Clemens Seibold, Anna Hilsmann and Peter Eisert
Detecting morphed face images has become an important task to maintain the trust in automated verification systems based on facial images, e.g., at automated border control gates. Deep Neural Network (DNN)-based detectors have shown remarkable results, b...
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