CEUR workshop proceedings最新文献_第2页

An Open-Publishing Response to the COVID-19 Infodemic. 对 COVID-19 信息学术会议的公开出版回应。

CEUR workshop proceedings Pub Date : 2021-09-01

Halie M Rando, Simina M Boca, Lucy D'Agostino McGowan, Daniel S Himmelstein, Michael P Robson, Vincent Rubinetti, Ryan Velazquez, Casey S Greene, Anthony Gitter

{"title":"An Open-Publishing Response to the COVID-19 Infodemic.","authors":"Halie M Rando, Simina M Boca, Lucy D'Agostino McGowan, Daniel S Himmelstein, Michael P Robson, Vincent Rubinetti, Ryan Velazquez, Casey S Greene, Anthony Gitter","doi":"","DOIUrl":"","url":null,"abstract":"The COVID-19 pandemic catalyzed the rapid dissemination of papers and preprints investigating the disease and its associated virus, SARS-CoV-2. The multifaceted nature of COVID-19 demands a multidisciplinary approach, but the urgency of the crisis combined with the need for social distancing measures present unique challenges to collaborative science. We applied a massive online open publishing approach to this problem using Manubot. Through GitHub, collaborators summarized and critiqued COVID-19 literature, creating a review manuscript. Manubot automatically compiled citation information for referenced preprints, journal publications, websites, and clinical trials. Continuous integration workflows retrieved up-to-date data from online sources nightly, regenerating some of the manuscript's figures and statistics. Manubot rendered the manuscript into PDF, HTML, LaTeX, and DOCX outputs, immediately updating the version available online upon the integration of new content. Through this effort, we organized over 50 scientists from a range of backgrounds who evaluated over 1,500 sources and developed seven literature reviews. While many efforts from the computational community have focused on mining COVID-19 literature, our project illustrates the power of open publishing to organize both technical and non-technical scientists to aggregate and disseminate information in response to an evolving crisis.","PeriodicalId":72554,"journal":{"name":"CEUR workshop proceedings","volume":"2976 ","pages":"29-38"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9093051/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142094263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Coverage of the Coronavirus Pandemic through Entropy Measures 通过熵测度对冠状病毒大流行的覆盖

CEUR workshop proceedings Pub Date : 2021-03-23 DOI: 10.31812/123456789/4427

V. Soloviev, A. Bielinskyi, N. Kharadzjan

{"title":"Coverage of the Coronavirus Pandemic through Entropy Measures","authors":"V. Soloviev, A. Bielinskyi, N. Kharadzjan","doi":"10.31812/123456789/4427","DOIUrl":"https://doi.org/10.31812/123456789/4427","url":null,"abstract":"The rapidly evolving coronavirus pandemic brings a devastating effect on the entire world and its economy as awhole. Further instability related to COVID-19will negatively affect not only on companies and financial markets, but also on traders and investors that have been interested in saving their investment, minimizing risks, and making decisions such as how to manage their resources, how much to consume and save, when to buy or sell stocks, etc., and these decisions depend on the expectation of when to expect next critical change. Trying to help people in their subsequent decisions, we demonstrate the possibility of constructing indicators of critical and crash phenomena on the example of Bitcoin market crashes for further demonstration of their efficiency on the crash that is related to the coronavirus pandemic. For this purpose, the methods of the theory of complex systems have been used. Since the theory of complex systems has quite an extensive toolkit for exploring the nonlinear complex system, we take a look at the application of the concept of entropy in finance and use this concept to construct 6 effective entropy measures: Shannon entropy, Approximate entropy, Permutation entropy, and 3 Recurrence based entropies. We provide computational results that prove that these indicators could have been used to identify the beginning of the crash and predict the future course of events associated with the current pandemic.","PeriodicalId":72554,"journal":{"name":"CEUR workshop proceedings","volume":"115 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79338041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Challenges in Realism-Based Ontology Design: a Case Study on Creating an Ontology for Motivational Learning Theories. 基于现实主义的本体设计面临的挑战：关于创建动机学习理论本体的案例研究。

CEUR workshop proceedings Pub Date : 2021-01-01

Irshad Ally, Werner Ceusters

{"title":"Challenges in Realism-Based Ontology Design: a Case Study on Creating an Ontology for Motivational Learning Theories.","authors":"Irshad Ally, Werner Ceusters","doi":"","DOIUrl":"","url":null,"abstract":"Objective: to identify on the basis of a use case major problem types novices in realism-based ontology design face when attempting to construct an ontology intended to explain differences and commonalities between competing scientific theories.Methodology: an ontology student was tasked (1) to extract manually from a paper about five distinct motivational learning theories the scientific terms used to explain the theories, (2) to map these terms where possible to type-terms from existing realism-based ontologies or create new ones otherwise, (3) to indicate for new type-terms their immediate subsumer, and (4) to document at every step issues that were encountered.Results: where term extraction and type-term assignment were handled satisfactorily, correct classification in function of the BFO was a major challenge. Root causes identified included ambiguous and underspecified term use in the theories, the ontological status of psychological constructs, lack of high quality ontologies for the behavioral sciences and insufficient 'deep' understanding of some BFO entities, in part because of insufficient documentation thereof suitable for learners. The issues the student encountered were often insufficiently described for the instructor to identify the problem without analyzing the source paper itself.Conclusion: whereas behavioral scientists need to do efforts to make their theories comparable, realism-based ontologies can help them therein only when ontology developers and educators put more effort in making them more accessible without violating the principles.","PeriodicalId":72554,"journal":{"name":"CEUR workshop proceedings","volume":"3073 ","pages":"63-69"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11164408/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141302264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CTO: a Community-Based Clinical Trial Ontology and its Applications in PubChemRDF and SCAIView. CTO：基于社区的临床试验本体及其在 PubChemRDF 和 SCAIView 中的应用。

CEUR workshop proceedings Pub Date : 2020-09-01

Asiyah Yu Lin, Stephan Gebel, Qingliang Leon Li, Sumit Madan, Johannes Darms, Evan Bolton, Barry Smith, Martin Hofmann-Apitius, Yongqun Oliver He, Alpha Tom Kodamullil

引用次数: 0

The OhioT1DM Dataset for Blood Glucose Level Prediction: Update 2020. 用于血糖水平预测的OhioT1DM数据集:更新2020。

CEUR workshop proceedings Pub Date : 2020-09-01

Cindy Marling, Razvan Bunescu

引用次数: 0

Foundations for a Realism-Based Ontology of Protein Aggregates. 基于现实主义的蛋白质聚集体本体的基础。

CEUR workshop proceedings Pub Date : 2020-09-01 Epub Date: 2021-02-02

Lauren Wishnie, Alexander P Cox, Alexander D Diehl, Werner Ceusters

引用次数: 0

An Ontology-Powered Dialogue Engine For Patient Communication of Vaccines. 用于疫苗患者交流的本体驱动对话引擎。

CEUR workshop proceedings Pub Date : 2019-10-01

Muhammad Amith, Rebecca Lin, Licong Cui, Dennis Wang, Anna Zhu, Grace Xiong, Hua Xu, Kirk Roberts, Cui Tao

引用次数: 0

Comparing the representation of medicinal products in RxNorm and SNOMED CT - Consequences on interoperability. 比较RxNorm和SNOMED CT中药品的表示——对互操作性的影响。

CEUR workshop proceedings Pub Date : 2019-08-01

Jean Noel Nikiema, Olivier Bodenreider

引用次数: 0

Explaining Deep Classification of Time-Series Data with Learned Prototypes. 用学习原型解释时间序列数据的深度分类。

CEUR workshop proceedings Pub Date : 2019-08-01

Alan H Gee, Diego Garcia-Olano, Joydeep Ghosh, David Paydarfar

{"title":"Explaining Deep Classification of Time-Series Data with Learned Prototypes.","authors":"Alan H Gee, Diego Garcia-Olano, Joydeep Ghosh, David Paydarfar","doi":"","DOIUrl":"","url":null,"abstract":"The emergence of deep learning networks raises a need for explainable AI so that users and domain experts can be confident applying them to high-risk decisions. In this paper, we leverage data from the latent space induced by deep learning models to learn stereotypical representations or \"prototypes\" during training to elucidate the algorithmic decision-making process. We study how leveraging prototypes effect classification decisions of two dimensional time-series data in a few different settings: (1) electrocardiogram (ECG) waveforms to detect clinical bradycardia, a slowing of heart rate, in preterm infants, (2) respiration waveforms to detect apnea of prematurity, and (3) audio waveforms to classify spoken digits. We improve upon existing models by optimizing for increased prototype diversity and robustness, visualize how these prototypes in the latent space are used by the model to distinguish classes, and show that prototypes are capable of learning features on two dimensional time-series data to produce explainable insights during classification tasks. We show that the prototypes are capable of learning real-world features - bradycardia in ECG, apnea in respiration, and articulation in speech - as well as features within sub-classes. Our novel work leverages learned prototypical framework on two dimensional time-series data to produce explainable insights during classification tasks.","PeriodicalId":72554,"journal":{"name":"CEUR workshop proceedings","volume":"2429 ","pages":"15-22"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050893/pdf/nihms-1668684.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38884015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The New SNOMED CT International Medicinal Product Model. 新型SNOMED CT国际医药产品模型。

CEUR workshop proceedings Pub Date : 2018-12-01

Olivier Bodenreider, Julie James

引用次数: 0