1,720,996 research outputs found
Assessing privacy-friendly local open-source voice annotation for participants with Parkinson’s disease
Full text linkThere is significant potential clinical benefit to be gained in capturing symptom data from individuals with Parkinson’s Disease (PD). For this purpose, sensor data is often collected. However, labels (ground truth) data is also beneficial, both to train (supervised learning) and to validate outcomes from automated monitoring systems. With the increasing use of voice assistants, this modality has been proposed for labelling. In this study, we examine some design patterns for voice-agent-supported labelling, identify failure modes, and make use of the MDVR-KCL dataset to benchmark a widely used key component, a speech-to-text pipeline. We identify that this component shows rapid increase in several error metrics (WER, CER, WIL) when employed on data from mildly symptomatic participants. We identify some potential mitigating steps and discuss potential future work
Annotation of Real-World Data for Artificial Intelligence Systems:9th International Workshop, ARDUOUS 2025, Bologna, Italy, October 25–26, 2025, Proceedings
No full textThis volume constitutes the refereed proceedings of 9th International Workshop on Annotation of Real-World Data for Artificial Intelligence Systems, ARDUOUS 2025, held in Bologna, Italy, during October 25–26, 2025.The 11 full papers included in this book were carefully reviewed and selected from 16 submissions. These papers have been categorized into the following themes: Automating Ergonomics: Scalable AI for Technical Hand Grip Classification; Activity Recognition; Annotation of Textual Data; Relation Extraction from Real-World Unstructured Text in the Domain of Dementia.<br/
Text Mining for Semantic Search in Europe PubMed Central Labs
No full textEurope PubMed Central (Europe PMC), sponsored collectively by 26 major funders of biological and medical research, and dedicated to the promotion of open access to scientific literature, provides a literature search service that has been enhanced by text mining. As part of that service, Europe PMC Labs provides a platform for prototype services that use text mining in innovative ways, providing semanticaly guided search. This chapter describes the EvidenceFinder application, which provides passage retrieval of facts by generating questions from basic search terms. As well as introducing the search user interfaces, we explain the genesis of the service from text mining applied to the whole corpus (at date of writing) of 3 milllion full-text research articles, and review several related advanced search tools
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
Text Mining for Semantic Search in Europe PubMed Central Labs
No full textEurope PubMed Central (Europe PMC), sponsored collectively by 26 major funders of biological and medical research, and dedicated to the promotion of open access to scientific literature, provides a literature search service that has been enhanced by text mining. As part of that service, Europe PMC Labs provides a platform for prototype services that use text mining in innovative ways, providing semanticaly guided search. This chapter describes the EvidenceFinder application, which provides passage retrieval of facts by generating questions from basic search terms. As well as introducing the search user interfaces, we explain the genesis of the service from text mining applied to the whole corpus (at date of writing) of 3 milllion full-text research articles, and review several related advanced search tools
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
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