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Code Repository for the paper ''Is It Worth the Attention? A Comparative Evaluation of Attention Layers for Argument Unit Segmentation".
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Mara Melina Mildred Metzner / altair
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This project contains code for the numerical computation of analytic deep prior solutions. There are four different ways which are compared.
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Course notes for the lecture "Applied Configuration Spaces" by Yuli Barischnikow at University of Bremen in SoSe 2018.
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Übetragung von Nutzereingaben über ein Python Programm auf einem Raspberry Pi über eine SPI-Schnittstelle an einen Arduino Micro. Die Nutzereingaben werden über die Micro-USB-Schnittstelle als Tastatureingaben über eine HID-Library ausgegeben.
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This project is situated at the intersection of cognitive neuroscience and machine learning, with a focus on decoding auditory and visual attention through electroencephalography (EEG) data. Assigned as part of a brain pattern recognition course, our challenge is to classify the directions of visual and auditory attentions—left or right—utilizing EEG recordings. Participants underwent a series of tests, listening to stimuli while looking in specific directions. The generated dataset, comprised of raw EEG data and CSV files, is annotated with labels indicating the direction of both auditory and visual attentions.
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Assigment 2 for the course Advanced Programming techniques in Processing.
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Martin Roberto Castillo Hund / bachelor
GNU General Public License v3.0 onlyUpdated -
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