Výsledky vyhledávání - "José M. Vidal"

Autor: Mingzhe Du, Barry Markovsky, José M. Vidal

Publikováno v: ACIT

In the social sciences, theory construction refers to the research process of building testable scientific theories to explain and predict observed phenomena in the natural world. Terms represent the theories' concepts or ideas and their meanings are

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1b1a6d7eb552dbc6e59b64d8215e31de
https://doi.org/10.1145/3325291.3325355

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Using Pre-trained Embeddings to Detect the Intent of an Email

Autor: Zaid Alibadi, José M. Vidal, Mingzhe Du

Publikováno v: ACIT

This research studies the problem of email overload and proposes a system that automatically detects whether the email is "to read" or "to do". The goal of our research is to test if we could automate both the features extraction and sentence classif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::382fc077df3a90ede90f7c39a52618fb
https://doi.org/10.1145/3325291.3325357

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SOREC: A Semantic Content-Based Recommendation System for Parsimonious Sociology Theory Construction

Autor: Mingzhe Du, José M. Vidal, Barry Markovsky

Publikováno v: BigDataService

Theory construction is the process of formulating scientific theories with reference to explicit logical and semantic criteria. Definitions and associated terms are essential components of the theory, in which parsimony is a crucial criterion for the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::202a79ab7fed22fdfe1b45ac8ee2d2e0
https://doi.org/10.1109/bigdataservice.2019.00025

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Ad Hoc Vehicle Platoon Formation

Autor: José M. Vidal, Robert W. Thomas

Publikováno v: 2019 SoutheastCon.

Road traffic is something most people experience daily. Traffic congestion is something everyone involved seeks to avoid, but often cannot. There are many facets of research seeking to alleviate or solve traffic problems. Platooning is a method that

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::adf1718ac367a671f9ad440eb790fd88
https://doi.org/10.1109/southeastcon42311.2019.9020370

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To Read or To Do? That's The Task: Using Transfer Learning to Detect the Intent of an Email

Autor: José M. Vidal, Zaid Alibadi

Publikováno v: 2018 International Conference on Computational Science and Computational Intelligence (CSCI).

This research studies the problem of email overload and proposes a system that automatically detects whether the email is "to read" or "to do". The goal of our research is to test if a Language Model trained on the entire Enron email data (around 500

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::197f518d8bf20ca8e8cce2c05f4bf590
https://doi.org/10.1109/csci46756.2018.00214

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The edit distance approach: an alternate method for assessing multi-observer agreement in process studies

Autor: Nathan Huynh, Rita Snyder, José M. Vidal, Bo Cai

Publikováno v: Health Systems. 5:6-12

Direct observation of complex health-care processes typically involves multi-observer recording of sequential process tasks. Inference, the key validity threat to multi-observer recording, is controlled with observer training and assessment for the d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::18eb5693edccd7ab56733b5f3f3e5ec0
https://doi.org/10.1057/hs.2014.32

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A national scale big data analytics pipeline to assess the potential impacts of flooding on critical infrastructures and communities

Autor: N. Donratanapat, Saber Sadeghi Tabas, S. Samadi, José M. Vidal

Publikováno v: Environmental Modelling & Software. 133:104828

With the rapid development of the Internet of Things (IoT) and Big Data infrastructure, crowdsourcing techniques have emerged to facilitate data processing and problem solving particularly for flood emergences purposes. A Flood Analytics Information

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fac95da573047d25d8ff822dc1bca91c
https://doi.org/10.1016/j.envsoft.2020.104828

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