Report NEP-BIG-2021-12-20

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé (Tom Coupe) issued this report. It is usually issued weekly.

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Other reports in NEP-BIG

The following items were announced in this report:

• Lachlan O'Neill & Nandini Anantharama & Wray Buntine & Simon D Angus, 2021, "Quantitative Discourse Analysis at Scale - AI, NLP and the Transformer Revolution," SoDa Laboratories Working Paper Series, Monash University, SoDa Laboratories, number 2021-12, Dec.
• Defina, Ryan, 2021, "Machine Learning Methods: Potential for Deposit Insurance," MPRA Paper, University Library of Munich, Germany, number 110712, Sep.
• Luxuan Yang & Ting Gao & Yubin Lu & Jinqiao Duan & Tao Liu, 2021, "Neural network stochastic differential equation models with applications to financial data forecasting," Papers, arXiv.org, number 2111.13164, Nov, revised Nov 2022.
• Feras A. Batarseh & Munisamy Gopinath & Anderson Monken & Zhengrong Gu, 2021, "Public Policymaking for International Agricultural Trade using Association Rules and Ensemble Machine Learning," Papers, arXiv.org, number 2111.07508, Nov.
• Faizal Hafiz & Jan Broekaert & Davide La Torre & Akshya Swain, 2021, "A Multi-criteria Approach to Evolve Sparse Neural Architectures for Stock Market Forecasting," Papers, arXiv.org, number 2111.08060, Nov.
• Annelore Verhagen, 2021, "Opportunities and drawbacks of using artificial intelligence for training," OECD Social, Employment and Migration Working Papers, OECD Publishing, number 266, Dec, DOI: 10.1787/22729bd6-en.
• Kamesh Korangi & Christophe Mues & Cristi'an Bravo, 2021, "A transformer-based model for default prediction in mid-cap corporate markets," Papers, arXiv.org, number 2111.09902, Nov, revised Apr 2023.
• Tsang, Andrew, 2021, "Uncovering Heterogeneous Regional Impacts of Chinese Monetary Policy," MPRA Paper, University Library of Munich, Germany, number 110703, Jul.
• Edward Turner, 2021, "Graph Auto-Encoders for Financial Clustering," Papers, arXiv.org, number 2111.13519, Nov, revised Dec 2021.
• Riccardo D'Adamo, 2021, "Orthogonal Policy Learning Under Ambiguity," Papers, arXiv.org, number 2111.10904, Nov, revised Dec 2022.
• Beltempo, Marc & Bresson, Georges & Lacroix, Guy, 2020, "Using Machine Learning to Predict Nosocomial Infections and Medical Accidents in a NICU," IZA Discussion Papers, IZA Network @ LISER, number 13099, Mar.
• Martin Hackmann & Joerg Heining & Roman Klimke & Maria Polyakova & Holger Seibert, 2021, "General Equilibrium Effects of Insurance Expansions: Evidence from Long-Term Care Labor Markets," Upjohn Working Papers, W.E. Upjohn Institute for Employment Research, number 21-357, Nov.
• Alexandre Georgieff & Raphaela Hyee, 2021, "Artificial intelligence and employment: New cross-country evidence," OECD Social, Employment and Migration Working Papers, OECD Publishing, number 265, Dec, DOI: 10.1787/c2c1d276-en.