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  1. 61
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    Novel model for medium to long term photovoltaic power prediction using interactive feature trend transformer by Xiang Liu, Qingyu Liu, Shuai Feng, Yangyang Ge, Haoran Chen, Chunling Chen

    Published 2025-02-01
    “…Initially, deep isolated forest (DIF) and local anomaly factor (LOF) are used to construct a parallel framework that serves as the data preprocessing module, removing outliers from raw data. …”
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    Article
  3. 63

    A novel test for gene-ancestry interactions in genome-wide association data. by Joanna L Davies, Jean-Baptiste Cazier, Malcolm G Dunlop, Richard S Houlston, Ian P Tomlinson, Chris C Holmes

    Published 2012-01-01
    “…We envisage our methodology being of particular interest to researchers with existing GWAS data, as ancestry groups can be easily defined and thus tested for interactions.…”
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  4. 64

    LISE: A Logic-Based Interactive Similarity Explainer for Clusters of RDF Data by Simona Colucci, Francesco Maria Donini, Verdiana Schena, Floriano Scioscia, Eugenio Di Sciascio

    Published 2025-01-01
    “…Clustering methods are instrumental in the preliminary analysis of unstructured data, yet interpreting the resulting groups—-especially in the context of RDF (Resource Description Framework) data—-poses significant challenges. …”
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    Article
  5. 65

    Datavzrd: Rapid programming- and maintenance-free interactive visualization and communication of tabular data. by Felix Wiegand, David Lähnemann, Felix Mölder, Hamdiye Uzuner, Adrian Prinz, Alexander Schramm, Johannes Köster

    Published 2025-01-01
    “…Exchange and communication of tabular data is therefore a central challenge. We present Datavzrd, a tool for creating portable, visually rich, interactive reports from tabular data in any kind of scientific discipline. …”
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    Article
  6. 66
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    Interpretable graph Kolmogorov–Arnold networks for multi-cancer classification and biomarker identification using multi-omics data by Fadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Harshith Guduru, Mohanad Mohammed

    Published 2025-07-01
    “…By integrating multi-omics data with graph-based deep learning, our proposed approach demonstrates robust predictive performance and interpretability with potential to enhance the translation of complex multi-omics data into clinically actionable cancer diagnostics.…”
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    What is mixed use? Presenting an interaction method for measuring land use mix by Kevin Manaugh, Tyler Kreider

    Published 2013-04-01
    “…This study proposes a new measure of land use mix, a land use interaction method—which accounts for the extent to which complementary land uses adjoin one another—using only basic land use data. …”
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    Using the MWC model to describe heterotropic interactions in hemoglobin. by Olga Rapp, Ofer Yifrach

    Published 2017-01-01
    “…Our results suggest that the simple MWC model provides a reasonable description that can also account for heterotropic interactions in hemoglobin. The results, moreover, offer a general roadmap for successful data fitting analysis using the MWC model.…”
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    The Use and Functions of Discourse Markers in EFL Classroom Interaction by Claudia Marcela Chapetón Castro

    Published 2009-04-01
    “…Using data from an EFL class, this study describes the occurrences and frequencies of DMs. …”
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    Patient Perspective on Use of an Interactive Website for Sleep Apnea by Carl Stepnowsky, Christine Edwards, Tania Zamora, Robert Barker, Zia Agha

    Published 2013-01-01
    “…Future studies should consider the use of newer evaluation criteria for collaborative adaptive interactive technologies.…”
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    Article
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    Human-Robot Interaction: The Hospitality Experience of Young People in Hotels that Use Robots by Andreea Fortuna Șchiopu, Ana Mihaela Pădurean, Ana-Maria Nica, Valentin Toader, Remus Ion Hornoiu, Maria Cordente Rodriguez

    Published 2024-11-01
    “…We extended a framework used in hospitality to include the use of technology (i.e., robots) and describe the human-robot interaction. …”
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  19. 79

    Data Equivalency of an Interactive Voice Response System for Home Assessment of Back Pain and Function by William S Shaw, Santosh K Verma

    Published 2007-01-01
    “…BACKGROUND: Interactive voice response (IVR) systems that collect survey data using automated, push-button telephone responses may be useful to monitor patients’ pain and function at home; however, its equivalency to other data collection methods has not been studied.…”
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  20. 80

    Constructing compact Takagi-Sugeno rule systems: identification of complex interactions in epidemiological data. by Shang-Ming Zhou, Ronan A Lyons, Sinead Brophy, Mike B Gravenor

    Published 2012-01-01
    “…The Takagi-Sugeno (TS) fuzzy rule system is a widely used data mining technique, and is of particular use in the identification of non-linear interactions between variables. …”
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