196,357 research outputs found
Manufacturing planning and control content management in virtual enterprises pursuing mass customization
No full textManufacturing planning and control content management in virtual enterprises pursuing mass customization / C. Rautenstrauch, M. Tangermann, K. Turowski. - In: Moving into mass customization / C. Rautenstrauch ... eds. - Berlin [u.a.] : Springer, 2002. - S. 103-11
Web based Methodology for Engineering and Maintenance of Distributed Control Systems: The TORERO Approach
No full textEEG Data for: "Learning from Label Proportions in Brain-Computer Interfaces"
No full textData about two experiments is contained in this repository. An EEG experiment utilizing visual event-related potentials (ERPs) with N=13 healthy subjects was conducted in addition to a smaller study with N=5 subjects performing both an auditory and a visual ERP paradigm.
The dataset is used and described in the following journal article:
Hübner, D., Verhoeven, T., Schmid, K., Müller, K. R., Tangermann, M., & Kindermans, P. J. (2017). Learning from label proportions in brain-computer interfaces: online unsupervised learning with guarantees. PloS one, 12(4), e0175856.
Please cite the above article when using the data.
The larger data set with N=13 is different to ordinary ERP datasets in the sense that the train of stimuli to spell one character (68) is divided into repetitions of two interleaved sequences with length 8 and 18, respectively. We added '#' symbols to the spelling matrix which should never be attended by the subject and hence, are non-targets by definition. The first, shorter sequence, now highlights only ordinary characters, while the second sequence also highlights '#' -- visual blank symbols. By construction, sequence 1 has a higher target ratio than sequence 2. These known, but different target and non-target proportions are then used to reconstruct the target and non-target class means. This approach which does not need explicit class labels is termed Learning from Label Proportions (LLP). It can be used to decode brain signals without prior calibration session. More details can be found in the article.
In another study, the above data set was used to simulate a new unsupervised mixture approach which combines the mean estimation of the unsupervised expectation-maximization algorithm by Kindermans et al. (2012, PLoS One) with the means obtained with the LLP approach. This leads to an unsupervised solution for which the performance is as good as in the supervised scenario. Please find more details in the following article:
Verhoeven, T., Hübner, D., Tangermann, M., Müller, K. R., Dambre, J., & Kindermans, P. J. (2017). Improving zero-training brain-computer interfaces by mixing model estimators. Journal of neural engineering, 14(3), 036021.
The following files are available:
description.pdf: Full description of the dataset
offline_auditory.zip: Data from the auditory offline study with N=5 subjects
offline_visual.zip: Data from the visual offline study with N=5 subjects
online_study_1-7.zip: Data from the online study for subjects 1-7
online_study_8-13.zip: Data from the online study for subjects 8-13
sequence.mat: Sequence data necessary for applying LLP to the online study. It is the same for all subjects
We will create a git repository with example code soon.We gratefully acknowledge the support by BrainLinks-BrainTools Cluster of Excellence funded by the German Research Foundation (DFG), grant number EXC 1086
Recent advances in brain-computer interface research: A summary of the 2019 BCI Award and online BCI research activities
No full textContains fulltext :
240302.pdf (Publisher’s version ) (Open Access)The introduction chapter of this book described the BCI Research Awards, selection criteria, nominees, and jury. Developing a good submission for a BCI Research Award is a formidable goal, and being nominated is even more demanding. This book has presented thirteen chapters by the authors of projects nominated for a BCI Research Award in 2019. Some of these chapters detailed the projects that were nominated, while other chapters comprised interviews with nominees. In this chapter, we review the 2019 BCI Research Awards Ceremony and present the winners. We also discuss emerging directions such as online BCI-related activities that have become much more prominent during 2020 due to COVID concerns
Brain-computer interface research: A state-of-the-art summary 9 [Introduction]
No full textContains fulltext :
240288.pdf (Publisher’s version ) (Open Access)Brain-computer interface (BCI) systems can provide communication and control without any physical movement. The BCI Research Awards are annual events to select the best BCI projects that year. Groups from around the world submit projects that are scored by a jury of international experts that selects twelve nominees and three winners. We also produce books like this one that review that year’s nominees, awards ceremony, and winners. This introductory chapter briefly reviews BCIs and the 2019 awards process, including the jury, selection criteria, and nominees. We mention many chapters that might engage readers with different interests, including chapters with project descriptions or interviews with nominees. Many of the chapters here describe new approaches to BCIs that could be useful to patients and/or mainstream users. The final chapter of this book reviews the Awards Ceremony, announces the winners, and presents concluding comments
Dr. Duane M. Jackson, Morehouse College, July 2011
No full textThis video is a conversation with Dr. Duane M. Jackson. Dr. Jackson talks about his paper, "Recall and the Serial Position Effect: The Role of Primacy and Recency on Accounting Students' Performance." Jackie Daniel, AUC Woodruff Library, is the interviewer
"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States" By M. Carey.
No full text"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States: containing bried sketches of the moral and political character of those states.
By M. Carey, member of the American philosophical, and of the American Antiquarian Society, and author of The Olive Branch, Cindiciae Hibernicae, essays on banking, on political economy, and on internal improvement.
To which are now added the English editor's comments on the subject; together with Important Advice to Emigrants, and Cautions Against Impositions Practiced in the Outports
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Dr. Glendon Swarthout
No full textHosted by Roger M. Busfield, MSU Assistant Professor of Speech and Theater, Meet the Author is designed to introduce a general audience to a contemporary author and their work through in-depth interviews. This episode features a conversation between Dr. Glendon Swarthout, prolific author and English professor at MSU, and assistant professors Sam S. Baskett and Theodore B. Strandness
- …
