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    A Bayesian active learning platform for scalable combination drug screens by Christopher Tosh, Mauricio Tec, Jessica B. White, Jeffrey F. Quinn, Glorymar Ibanez Sanchez, Paul Calder, Andrew L. Kung, Filemon S. Dela Cruz, Wesley Tansey

    Published 2025-01-01
    “…In a prospective combination screen of a library of 206 drugs on a collection of pediatric cancer cell lines, the BATCHIE model accurately predicts unseen combinations and detects synergies after exploring only 4% of the 1.4M possible experiments. …”
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    A weather-forecast driven early warning system for wheat blast disease: User-centered design, validation, and scaling in Bangladesh and Brazil by Timothy J. Krupnik, José Mauricio Cunha Fernandes, Felipe Vargas, Emerson Medeiros Del Ponte, Khaled Hossain, Mustafa Kamal, Mutasim Billah, Md. Harun-Or-Rashid, Sk. Ghulam Hussain, Pawan Kumar Singh, Krishna Kanta Roy, Carlos Augusto Pizolotto, Md. Shah Kamal Khan, Willingthon Pavan, Golam Faruq

    Published 2025-08-01
    “…The UCD process led to a wheat blast disease prediction model, server systems, and user-facing enhancements, including an open-source dashboard (https://beattheblastews.net/) that displays historical, real-time, and forecasted weather data, along with geographically explicit disease predictions, to support informed decision-making on wheat blast management. …”
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    A graph transformer with optimized attention scores for node classification by Yu Zhang, Xin Li, Yaoqun Xu, Xitong Xu, Zhe Wang

    Published 2025-08-01
    “…Although the Transformer architecture has become a mainstream approach for nonlocal modeling in many domains, Transformer-based architectures fail to demonstrate competitiveness in popular node-level prediction tasks when compared to mainstream graph neural network (GNN) variants. …”
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    The Scuola Grande di San Marco in Venice between architecture and perspective reliefs: restitutions and applications of advanced fruition by Silvia Masserano, Veronica Riavis

    Published 2024-07-01
    “…These models can be utilized in a wider range of contexts, according to the specific needs of different categories of public (e.g., age, education, culture, disability, etc.).…”
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    Updating Measures of CME Arrival Time Errors by C. Kay, E. Palmerio, P. Riley, M. L. Mays, T. Nieves‐Chinchilla, M. Romano, Y. M. Collado‐Vega, C. Wiegand, A. Chulaki

    Published 2024-07-01
    “…In 2013, the Community Coordinated Modeling Center started collecting predictions from the community, developing an Arrival Time Scoreboard (ATSB). …”
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