--- title: "Decision Sciences — papers" description: "Decision Sciences: 68 papers of the Elamur Research library · page 1 of 2 · 1–25, the most cited first — our summary of each, its ideas, references and…" canonical: "https://research.elamur.ai/free/en/shelves/decision-sciences/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/decision-sciences/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / Decision Sciences # 🎯 Decision Sciences 68 papers · page 1 of 2 · 1–25 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/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 Research**Data Quality and Management · Stock Market Forecasting Methods*29 papers*](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) 2. [**Statistics, Probability and Uncertainty**scientometrics and bibliometrics research · Reliability and Agreement in Measurement*27 papers*](https://md.research.elamur.ai/free/en/shelves/decision-sciences/statistics-probability-and-uncertainty/) 3. [**Information Systems and Management**Scientific Computing and Data Management · Academic Publishing and Open Access*14 papers*](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) 4. [**General Decision Sciences**Decision-Making and Behavioral Economics*1 paper*](https://md.research.elamur.ai/free/en/shelves/decision-sciences/general-decision-sciences/) ## Papers **1** [2](https://md.research.elamur.ai/free/en/shelves/decision-sciences/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/decision-sciences/page/2/) 1. [**SciPy 1.0 — Fundamental Algorithms for Scientific Computing in Python**Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, et al.*2019 · 38,317 citations*](https://md.research.elamur.ai/free/en/papers/virtanen-2019-scipy-1-0-fundamental-algorithms/) 2. [**Array Programming with NumPy**Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, et al.*2020 · 23,591 citations*](https://md.research.elamur.ai/free/en/papers/harris-2020-array-programming-numpy/) 3. [**Active Learning Literature Survey**Burr Settles*2009 · 4,889 citations*](https://md.research.elamur.ai/free/en/papers/settles-2009-active-learning-literature-survey/) 4. [**Attention-based LSTM for Aspect-level Sentiment Classification**Yequan Wang, Minlie Huang, Xiaoyan Zhu, et al.*2016 · 2,609 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-attention-based-lstm-aspect-level/) 5. [**Assessing Agreement on Classification Tasks: The Kappa Statistic**Jean Carletta*1996 · 2,462 citations*](https://md.research.elamur.ai/free/en/papers/carletta-1996-assessing-agreement-classification-tasks-kappa/) 6. [**Survey Article: Inter-Coder Agreement for Computational Linguistics**Ron Artstein, Massimo Poesio*2008 · 1,770 citations*](https://md.research.elamur.ai/free/en/papers/artstein-2008-survey-article-inter-coder-agreement/) 7. [**Aspect Level Sentiment Classification with Deep Memory Network**Duyu Tang, Bing Qin, Ting Liu*2016 · 1,187 citations*](https://md.research.elamur.ai/free/en/papers/tang-2016-aspect-level-sentiment-classification-deep/) 8. [**Using Encyclopedic Knowledge for Named entity Disambiguation**Razvan Bunescu, Marius Paşca*2006 · 978 citations*](https://md.research.elamur.ai/free/en/papers/bunescu-2006-encyclopedic-knowledge-named-entity-disambiguation/) 9. [**Entity-Based Cross-Document Coreferencing Using the Vector Space Model**Amit Bagga, Breck Baldwin*1998 · 699 citations*](https://md.research.elamur.ai/free/en/papers/bagga-1998-entity-based-cross-document-coreferencing/) 10. [**Effective LSTMs for Target-Dependent Sentiment Classification**Duyu Tang, Bing Qin, Xiaocheng Feng, et al.*2016 · 693 citations*](https://md.research.elamur.ai/free/en/papers/tang-2016-effective-lstms-target-dependent-sentiment/) 11. [**CORD-19: The COVID-19 Open Research Dataset**Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, et al.*2020 · 685 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-cord-19-covid-19-open/) 12. [**BloombergGPT: A Large Language Model for Finance**Shijie Wu, Ozan Irsoy, Steven Lu, et al.*2023 · 608 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-bloomberggpt-large-language-model-finance/) 13. [**HybridFlow: A Flexible and Efficient RLHF Framework**Guangming Sheng, Chi Zhang, Zilingfeng Ye, et al.*2024 · 598 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2024-hybridflow-flexible-efficient-rlhf-framework/) 14. [**Automatic classification of citation function**Simone Teufel, Advaith Siddharthan, Dan Tidhar*2006 · 516 citations*](https://md.research.elamur.ai/free/en/papers/teufel-2006-automatic-classification-citation-function/) 15. [**FinGPT: Open-Source Financial Large Language Models**Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang*2023 · 445 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-fingpt-open-source-financial-large/) 16. [**Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation**Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, et al.*2016 · 427 citations*](https://md.research.elamur.ai/free/en/papers/yamada-2016-joint-learning-embedding-words-entities/) 17. [**AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback**Yann Dubois, Xuechen Li, Rohan Taori, et al.*2023 · 423 citations*](https://md.research.elamur.ai/free/en/papers/dubois-2023-alpacafarm-simulation-framework-methods-that/) 18. [**Construction of the Literature Graph in Semantic Scholar**Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, et al.*2018 · 397 citations*](https://md.research.elamur.ai/free/en/papers/ammar-2018-construction-literature-graph-semantic-scholar/) 19. [**Entity Disambiguation for Knowledge Base Population**Mark Dredze, Paul McNamee, Delip Rao, et al.*2010 · 394 citations*](https://md.research.elamur.ai/free/en/papers/dredze-2010-entity-disambiguation-knowledge-base-population/) 20. [**Aligning AI With Shared Human Values**Dan Hendrycks, Collin Burns, Steven Basart, et al.*2020 · 382 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-aligning-ai-shared-human-values/) 21. [**The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation**Barbara Plank*2022 · 364 citations*](https://md.research.elamur.ai/free/en/papers/plank-2022-problem-human-label-variation-ground/) 22. [**The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics**Steven Bird, Robert Dale, Bonnie Dorr, et al.*2008 · 364 citations*](https://md.research.elamur.ai/free/en/papers/bird-2008-acl-anthology-reference-corpus-reference/) 23. [**Measuring the Evolution of a Scientific Field through Citation Frames**David Jurgens, Srijan Kumar, Raine Hoover, et al.*2018 · 311 citations*](https://md.research.elamur.ai/free/en/papers/jurgens-2018-measuring-evolution-scientific-field-through/) 24. [**S2ORC: The Semantic Scholar Open Research Corpus**Kyle Lo, Lucy Lu Wang, Mark Neumann, et al.*2019 · 297 citations*](https://md.research.elamur.ai/free/en/papers/lo-2019-s2orc-semantic-scholar-open-research/) 25. [**A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature**Benjamin Nye, Junyi Jessy Li, Roma Patel, et al.*2018 · 293 citations*](https://md.research.elamur.ai/free/en/papers/nye-2018-corpus-multi-level-annotations-patients/) **1** [2](https://md.research.elamur.ai/free/en/shelves/decision-sciences/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/decision-sciences/page/2/) Updated 23 October 2026 - [← previous shelf Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) - [next shelf → Earth and Planetary Sciences](https://md.research.elamur.ai/free/en/shelves/earth-and-planetary-sciences/) - [↑ back to shelves](https://md.research.elamur.ai/free/en/shelves/)