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🎯 Decision Sciences

66 papers · page 1 of 2 · 1–25 · the most cited first · all shelves

Operations research, statistics for decisions, optimisation and risk.

Subfields

The sub-shelves of Decision Sciences, the most papers first, with the two OpenAlex topics most of their papers here are on.

  1. Management Science and Operations ResearchData Quality and Management · Stock Market Forecasting Methods27 papers
  2. Statistics, Probability and Uncertaintyscientometrics and bibliometrics research · Reliability and Agreement in Measurement27 papers
  3. Information Systems and ManagementScientific Computing and Data Management · Academic Publishing and Open Access14 papers
  4. General Decision SciencesDecision-Making and Behavioral Economics1 paper

 Papers

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  1. SciPy 1.0 — Fundamental Algorithms for Scientific Computing in PythonPauli Virtanen, Ralf Gommers, Travis E. Oliphant, et al.2019 · 38,317 citations
  2. Array Programming with NumPyCharles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, et al.2020 · 23,591 citations
  3. Active Learning Literature SurveyBurr Settles2009 · 4,889 citations
  4. Attention-based LSTM for Aspect-level Sentiment ClassificationYequan Wang, Minlie Huang, Xiaoyan Zhu, et al.2016 · 2,609 citations
  5. Assessing Agreement on Classification Tasks: The Kappa StatisticJean Carletta1996 · 2,462 citations
  6. Survey Article: Inter-Coder Agreement for Computational LinguisticsRon Artstein, Massimo Poesio2008 · 1,770 citations
  7. Aspect Level Sentiment Classification with Deep Memory NetworkDuyu Tang, Bing Qin, Ting Liu2016 · 1,187 citations
  8. Using Encyclopedic Knowledge for Named entity DisambiguationRazvan Bunescu, Marius Paşca2006 · 978 citations
  9. Entity-Based Cross-Document Coreferencing Using the Vector Space ModelAmit Bagga, Breck Baldwin1998 · 699 citations
  10. Effective LSTMs for Target-Dependent Sentiment ClassificationDuyu Tang, Bing Qin, Xiaocheng Feng, et al.2016 · 693 citations
  11. CORD-19: The COVID-19 Open Research DatasetLucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, et al.2020 · 685 citations
  12. BloombergGPT: A Large Language Model for FinanceShijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 608 citations
  13. HybridFlow: A Flexible and Efficient RLHF FrameworkGuangming Sheng, Chi Zhang, Zilingfeng Ye, et al.2024 · 598 citations
  14. Automatic classification of citation functionSimone Teufel, Advaith Siddharthan, Dan Tidhar2006 · 516 citations
  15. FinGPT: Open-Source Financial Large Language ModelsHongyang Yang, Xiao-Yang Liu, Christina Dan Wang2023 · 445 citations
  16. Joint Learning of the Embedding of Words and Entities for Named Entity DisambiguationIkuya Yamada, Hiroyuki Shindo, Hideaki Takeda, et al.2016 · 427 citations
  17. AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackYann Dubois, Xuechen Li, Rohan Taori, et al.2023 · 423 citations
  18. Construction of the Literature Graph in Semantic ScholarWaleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, et al.2018 · 397 citations
  19. Entity Disambiguation for Knowledge Base PopulationMark Dredze, Paul McNamee, Delip Rao, et al.2010 · 394 citations
  20. Aligning AI With Shared Human ValuesDan Hendrycks, Collin Burns, Steven Basart, et al.2020 · 382 citations
  21. The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and EvaluationBarbara Plank2022 · 364 citations
  22. The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational LinguisticsSteven Bird, Robert Dale, Bonnie Dorr, et al.2008 · 364 citations
  23. Measuring the Evolution of a Scientific Field through Citation FramesDavid Jurgens, Srijan Kumar, Raine Hoover, et al.2018 · 311 citations
  24. S2ORC: The Semantic Scholar Open Research CorpusKyle Lo, Lucy Lu Wang, Mark Neumann, et al.2019 · 297 citations
  25. A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical LiteratureBenjamin Nye, Junyi Jessy Li, Roma Patel, et al.2018 · 293 citations

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