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The multi-level adaptive networks (MLAN) technique is a cross-lingual adaptation framework where a bottleneck (BN) layer in a deep neural network (DNN) trained in a source lan- guage is used for producing BN features to be exploited in a second DNN in a ta ...
Lightning location systems (LLSs) are often used to obtain parameters of lightning flashes. However, the imperfect detection efficiency (DE) of these systems affects the accuracy of the results. In this paper, we focus on the effects of the imperfect DE on ...
Tools that provide visual feedback about emotions to the user in the form of an avatar or an emoticon have become increasingly important. While a great deal of effort has already been put into the reliable and accurate automatic detection of emotions, only ...
Automatic emotion recognition systems based on supervised machine learning require reliable annotation of affective behaviours to build useful models. Whereas the dimensional approach is getting more and more popular for rating: affective behaviours in con ...
Twenty years after the publication of his book, Égogéographies, the author makes a balance sheet of the approach he developed in the book. Exploring a researcher’s psyche first of all implies the necessity of putting apart any social epistemology that refu ...
Much prior research in entrepreneurship has focused on the role of the founder's knowledge in affecting new firm performance. Yet, little is known about how and why the entrepreneurial opportunity itself shapes outcomes in this arena. We begin filling in t ...
Tetracyclines, a class of antibiotics that target bacterial translation, are commonly used in research for inducible gene expression using Tet-ON/Tet-OFF systems. However, such tetracycline-inducible systems carry a risk. Given that mitochondria have a "ba ...
Automatic facial expression analysis promises to be a game- changer in many application areas. But before this promise can be fulfilled, it has to move from the laboratory into the wild. The Emotion Recognition in the Wild challenge pro- vides an opportuni ...
The human face has evolved to become the most important source of non-verbal information that conveys our affective, cognitive and mental state to others. Apart from human to human communication facial expressions have also become an indispensable componen ...
Emotions affect and determine social relationships and interactions, memory and creativity,
and influence the mechanisms of rational thinking and decision making. The
influence of emotion on decision making has gained attention in computer science. By
d ...