1,721,019 research outputs found
CrowdEEG Dataset: Expert Adjudication Discussions for Medical Time Series Data
No full textThis repository contains a dataset for a medical time series classification task acquired using CrowdEEG. Beyond classification labels, the dataset includes structured arguments from adjudication discussions of 3 medical experts per contentious classification decision.
The corpus has been referenced in the following papers:
Mike Schaekermann, Graeme Beaton, Elaheh Sanoubari, Andrew Lim, Kate Larson, and Edith Law: Ambiguity-aware AI Assistants for Medical Data Analysis. CHI 2020.
Mike Schaekermann, Graeme Beaton, Minahz Habib, Andrew Lim, Kate Larson, and Edith Law: Understanding Expert Disagreement in Medical Data Analysis through Structured Adjudication. CSCW 2019.
This repository only contains classification labels and adjudication arguments, not the raw medical time series records. Please reach out to Mike Schaekermann ([email protected]) to request access to the underlying raw time series data. A statement of purpose and proof of your institutional ethics clearance may be required.
If you find this data useful in your research, please consider citing:
@inproceedings{Schaekermann2020AmbiguityAwareAI,
Author = {Schaekermann, Mike and Beaton, Graeme and Sanoubari, Elaheh and Lim, Andrew and Larson, Kate and Law, Edith},
Title = {Ambiguity-Aware AI Assistants for Medical Data Analysis},
Year = {2020},
ISBN = {9781450367080},
Publisher = {Association for Computing Machinery},
Address = {New York, NY, USA},
DOI = {10.1145/3313831.3376506},
Pages = {1–14},
Numpages = {14},
Location = {Honolulu, HI, USA},
Series = {CHI '20}
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
CrowdEEG Platform: A Collaborative Annotation Tool for Medical Time Series Data
No full textThis repository contains the code for the CrowdEEG web application, a collaborative annotation tool for medical time series data. Check out our Getting Started guide to learn how to run and deploy this web app.
This tool has been referenced in the following papers:
Mike Schaekermann, Graeme Beaton, Elaheh Sanoubari, Andrew Lim, Kate Larson, and Edith Law: Ambiguity-aware AI Assistants for Medical Data Analysis. CHI 2020.
Mike Schaekermann, Graeme Beaton, Minahz Habib, Andrew Lim, Kate Larson, and Edith Law: Understanding Expert Disagreement in Medical Data Analysis through Structured Adjudication. CSCW 2019.
Sokolov, E. and Abdoul Bachir, D. H. and Sakadi, F. and Williams, J. and Vogel, A. C. and Schaekermann, Mike and Tassiou, N. and Bah, A. K. and Khatri, V. and Hotan, G. C. and Ayub, N. and Leung, E. and Fantaneanu, T. A. and Patel, A. and Vyas, M. and Milligan, T. and Villamar, M. F. and Hoch, D. and Purves, S. and Esmaeili, B. and Stanley, M. and Lehn‐Schioler, T. and Tellez‐Zenteno, J. and Gonzalez‐Giraldo, E. and Tolokh, I. and Heidarian, L. and Worden, L. and Jadeja, N. and Fridinger, S. and Lee, L. and Law, E. and Fodé Abass, C. and Mateen, F. J.: Tablet‐based electroencephalography diagnostics for patients with epilepsy in the West African Republic of Guinea. European Journal of Neurology 2020.
Williams, Jennifer A and Cisse, Fodé Abass and Schaekermann, Mike and Sakadi, Foksouna and Tassiou, Nana Rahamatou and Hotan, Gladia C. and Bah, Aissatou Kenda and Hamani, Abdoul Bachir Djibo and Lim, Andrew and Leung, Edward C.W. and Fantaneanu, Tadeu A. and Milligan, Tracey A. and Khatri, Vidita and Hoch, Daniel B. and Vyas, Manav V. and Lam, Alice D. and Cohen, Joseph M. and Vogel, Andre C. and Law, Edith and Mateen, Farrah J: Smartphone EEG and remote online interpretation for children with epilepsy in the Republic of Guinea: Quality, characteristics, and practice implications. Seizure 2020.
You may also be interested in the CrowdEEG Dataset.
If you find this web application useful in your research, please consider citing:
@inproceedings{Schaekermann2020AmbiguityAwareAI,
Author = {Schaekermann, Mike and Beaton, Graeme and Sanoubari, Elaheh and Lim, Andrew and Larson, Kate and Law, Edith},
Title = {Ambiguity-Aware AI Assistants for Medical Data Analysis},
Year = {2020},
ISBN = {9781450367080},
Publisher = {Association for Computing Machinery},
Address = {New York, NY, USA},
DOI = {10.1145/3313831.3376506},
Pages = {1–14},
Numpages = {14},
Location = {Honolulu, HI, USA},
Series = {CHI '20}
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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