يعرض 1 - 20 نتائج من 83 نتيجة بحث عن '"Timilsina, Mohan"', وقت الاستعلام: 0.54s تنقيح النتائج
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    Conference

    مصطلحات موضوعية: dataspace, linked, machine learning, foundation model

    وصف الملف: application/pdf

    Relation: Timilsina, Mohan, Buosi, Samuele, Song, Ping, Yang, Yang, Haque, Rafiqul, & Curry, Edward. (2023). Enabling dataspaces using foundation models: Technical, legal and ethical considerations and future trends. Paper presented at the IEEE International Conference on Big Data (BigData), Sorrento, Italy, 15-18 December. https://doi.org/10.1109/BigData59044.2023.10386933; https://hdl.handle.net/10379/18227

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    Conference

    مصطلحات موضوعية: machine learning, dataspace, linked, clinical, knowledge graph

    وصف الملف: application/pdf

    Relation: Timilsina, Mohan, Alsamhi, Saeed, Haque, Rafiqul, Judge, Conor, & Curry, Edward. (2023). Knowledge Graphs, Clinical Trials, Dataspace, and AI: Uniting for Progressive Healthcare Innovation. Paper presented at the 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 15-18 December. 10.1109/BigData59044.2023.10386401; https://hdl.handle.net/10379/18206

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    Academic Journal

    المساهمون: UAM. Departamento de Medicina

    وصف الملف: application/pdf

    Relation: Expert Systems with Applications; https://doi.org/10.1016/j.eswa.2023.121127; info:eu-repo/grantAgreement/EC/H2020/875160/EU//CLARIFY; Expert Systems With Applications 235 (2024): 121127; 0957-4174 (print); 1873-6793 (online); http://hdl.handle.net/10486/714834; 121127-1; 121127-8; 235

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    Academic Journal
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    Academic Journal
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    Conference

    المساهمون: Massutí, Bartomeu

    مصطلحات موضوعية: survival, time, event, cancer

    وصف الملف: application/pdf

    Relation: Timilsina, Mohan, Buosi, Samuele, Janik, Adrianna, Minervini, Pasquale, Costabello, Luca, Torrente, Maria, Provencio, Mariano, Calvo, Virginia, Camps, Carlos, Ortega, Ana L., Massutí, Bartomeu, Garcia Campelo, M.Rosario, del Barco, Edel, Bosch-Barrera, Joaquim, Novacek, Vit (2023). Machine learning survival models for relapse prediction in a early stage lung cancer patient. Paper presented at the International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, 18-23 June. https;/dx.doi.org/10.1109/IJCNN54540.2023.10191078; https://hdl.handle.net/10379/18226

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    Academic Journal

    مصطلحات موضوعية: Graphs, Embeddings, Regression, Prediction, User activity

    وصف الملف: application/pdf

    Relation: Timilsina, Mohan, & Figueroa, Alejandro. (2023). Neural age screening on question answering communities. Engineering Applications of Artificial Intelligence, 123, 106219. doi: https://doi.org/10.1016/j.engappai.2023.106219; https://hdl.handle.net/10379/18229

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    Academic Journal

    وصف الملف: application/pdf

    Relation: Timilsina, Mohan, Fey, Dirk, Buosi, Samuele, Janik, Adrianna, Costabello, Luca, Carcereny, Enric, Abreu, Delvys Rodrıguez, Cobo, Manuel, Castro, Rafael López, Bernabé, Reyes, Minervini, Pasquale, Torrente, Maria, Provencio, Mariano, Nováček, Vít. (2023). Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer. Journal of Biomedical Informatics, 144, 104424. doi: https://doi.org/10.1016/j.jbi.2023.104424; https://hdl.handle.net/10379/18228

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    Academic Journal

    المساهمون: Data Science Institute, Insight Centre for Data Analytics, University of Galway, Ireland (DSI), K team (Data Science, Knowledge, Reasoning and Engineering), Department of Natural Language Processing & Knowledge Discovery (LORIA - NLPKD), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), National University of Ireland Galway (NUI Galway), Science Foundation Ireland (SFI/12/RC/2289_P2)

    المصدر: ISSN: 0893-6080 ; Neural Networks ; https://inria.hal.science/hal-03919966 ; Neural Networks, 2022, 156, pp.205-217. ⟨10.1016/j.neunet.2022.10.005⟩.

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    Academic Journal
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    Academic Journal
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    Academic Journal

    المساهمون: Science Foundation Ireland

    مصطلحات موضوعية: Label Propagation, Networks, Prediction, Embeddings, Harmonic

    وصف الملف: application/pdf

    Relation: IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM; Timilsina, Mohan, Mc Kernan, Declan Patrick, Yang, Haixuan, & d’Aquin, Mathieu. (2020). Synergy between embedding and protein functional association networks for drug label prediction using harmonic function. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB). doi:10.1109/TCBB.2020.3031696; http://hdl.handle.net/10379/16447

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    Academic Journal
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    Academic Journal
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    Conference
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    Conference

    المساهمون: Science Foundation Ireland

    مصطلحات موضوعية: Graphs, Centrality, Impact, Prediction, Altmetrics

    وصف الملف: application/pdf

    Relation: IEEE/ACM International Conference of Web Intelligence; Mohan Timilsina, Brian Davis, Mike Taylor, and Conor Hayes. 2017. Predicting Citations from Mainstream News, Weblogs and Discussion Forums. In Proceedings of WI ’17, Leipzig, Germany, August 23-26, 2017, 8 pages. https://doi.org/10.1145/3106426.3106450; http://hdl.handle.net/10379/7380

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    Conference

    المساهمون: Science Foundation Ireland

    وصف الملف: application/pdf

    Relation: 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM); Timilsina, M., Davis, B., Taylor, M., & Hayes, C. (2016). Towards predicting academic impact from mainstream news and weblogs: A heterogeneous graph based approach. Paper presented at the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 18-21 August, San Fransciso.; http://hdl.handle.net/10379/7379

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    Academic Journal