sebastianstober.de sebastianstober.de

SEBASTIANSTOBER.DE

sebastianstober.de

I am an interdisciplinary researcher with a PhD in computer science and a background somewhere between (applied) machine learning, (music) information retrieval and cognitive neuroscience. I am very fascinated by the abilities of humans and intelligent machines to learn, adapt and interact with each other. UPDATE: As of January 2016, I have moved to Potsdam, Germany to establish a new junior research group on. Machine Learning in Cognitive Science. Within the Research Focus Cognitive Science.

http://www.sebastianstober.de/

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I am an interdisciplinary researcher with a PhD in computer science and a background somewhere between (applied) machine learning, (music) information retrieval and cognitive neuroscience. I am very fascinated by the abilities of humans and intelligent machines to learn, adapt and interact with each other. UPDATE: As of January 2016, I have moved to Potsdam, Germany to establish a new junior research group on. Machine Learning in Cognitive Science. Within the Research Focus Cognitive Science.
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sebastianstober.de | sebastianstober.de Reviews

https://sebastianstober.de

I am an interdisciplinary researcher with a PhD in computer science and a background somewhere between (applied) machine learning, (music) information retrieval and cognitive neuroscience. I am very fascinated by the abilities of humans and intelligent machines to learn, adapt and interact with each other. UPDATE: As of January 2016, I have moved to Potsdam, Germany to establish a new junior research group on. Machine Learning in Cognitive Science. Within the Research Focus Cognitive Science.

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sebastianstober.de sebastianstober.de
1

Talks – sebastianstober.de

http://www.sebastianstober.de/talks

Introduction to EEG Decoding for Music Information Retrieval Research. Full-day tutorial together with Blair Kaneshiro. From CCRMA at Stanford University) [ slides and code. 17th International Society for Music Information Retrieval Conference (ISMIR 2016). August 7, 2016 – Columbia University, New York City, NY, USA. Deep Feature Learning for EEG Recordings. June 29, 2016 – Geneva, Switzerland. Pre-Training Deep Nets to Decode Brain Activity. Berlin Machine Learning Meetup. Learning Similarity Measures ...

2

Demos – sebastianstober.de

http://www.sebastianstober.de/posts/category/demos

ISMIR Paper Explorer (2015). Click image to open the demo website in a new window. Please note: The survey is not enabled for this demo.). This is joint work together with Thomas Low. Who are supervised by Andreas Nürnberger. Explore the cumulative proceedings of the annual conference of the International Society for Music Information Retrieval (ISMIR). Ie aligning local neighborhood maps to create the impression of panning a large (global) map. Frontend implementation: HTML5 (jQuery). April 4, 2015.

3

Publications – sebastianstober.de

http://www.sebastianstober.de/publications

Sebastian Stober. Learning Discriminative Features from Electroencephalography Recordings by Encoding Similarity Constraints. In: Proceedings of 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’17). Thomas Low; Christian Hentschel; Sebastian Stober; Harald Sack and Andreas Nürnberger. Exploring Large Movie Collections: Comparing Visual Berrypicking and Traditional Browsing. In: Proceedings of the 23rd International Conference on MultiMedia Modeling (MMM’17). Claus Wei...

4

PhD Thesis – sebastianstober.de

http://www.sebastianstober.de/phd-thesis

Adaptive Methods for User-Centered. Organization of Music Collections. Dissertation, Sebastian Stober. Submitted September 21, 2011. Defended November 15, 2011. Published by Verlag Dr. Hut. Slides of the defense (PDF). The following media clips serve as additional illustration for the thesis. They need to be in the sub-directory “media/” relative to the PDF for the links to work properly. Audio Clip 1: VoiceExtraction-1-Original.wav. Audio Clip 2: VoiceExtraction-2-Karaoke.wav. Demonstration video clip f...

5

Teaching – sebastianstober.de

http://www.sebastianstober.de/teaching

Representation Learning (further information coming soon). Deep Learning for Natural Language Processing. September 16 20, 2013:. Adaptivity in Audio and Music Retrieval. 7th Russian Summer School in Information Retrieval (RuSSIR’13). July 11, 2012. Learning Similarity Measures for Music. 9th Sound and Music Computing Conference (SMC’12). Exercise classes and part of the lectures). Seminar for IT-Projects in Data and Knowledge Engineering. Concepts for Adaptive Interaction with Multimedia. 8220;Musical S...

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Grahn lab - Jessica Grahn

http://www.jessicagrahn.com/people.html

Leow et al. 2015. Meet Our Team . I​ began my postdoc in the Music and Neuroscience lab here at the BMI in January, 2015. My research focuses on the interplay between music, movement, and percepti​. On Some of my research questions include: Does dancing or singing to music affect perception, memory, or emotional experience of the music? Does synchronous movement facilitate emotional communication? Does moving to music support proper movement execution? Hi, my name is Umar Azhar and I am currently a 3rd ...

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I am an interdisciplinary researcher with a PhD in computer science and a background somewhere between (applied) machine learning, (music) information retrieval and cognitive neuroscience. I am very fascinated by the abilities of humans and intelligent machines to learn, adapt and interact with each other. UPDATE: As of January 2016, I have moved to Potsdam, Germany to establish a new junior research group on. Machine Learning in Cognitive Science. Within the Research Focus Cognitive Science.

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The owner of this domain has not yet uploaded a website. This domain name is hosted by Freeola, who provide free e-mail. Hosting. You can register your own domain names from GetDotted.com. Using the search box on the right, and take advantage of Freeola's free hosting offer! Get your own domain name from GetDotted.com. With free e-mail and website hosting from Freeola.com. Free Unlimited E-mail Addresses. Secure e-mail for the whole family, with tons of great features. Users, or for just 2 per month.

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