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Report NEP-BIG-2025-05-26
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.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-BIG
The following items were announced in this report:
- Magaletti, Nicola & Notarnicola, Valeria & Di Molfetta, Mauro & Mariani, Stefano & Leogrande, Angelo, 2025, "Data-Driven Welding Quality Assessment: Leveraging IoT and Machine Learning in Industrial Practice," MPRA Paper, University Library of Munich, Germany, number 124548, Apr.
- Jacob Carlson & Melissa Dell, 2025, "A Unifying Framework for Robust and Efficient Inference with Unstructured Data," Papers, arXiv.org, number 2505.00282, May, revised Feb 2026.
- Giovanni Ballarin & Jacopo Capra & Petros Dellaportas, 2025, "Multi-Horizon Echo State Network Prediction of Intraday Stock Returns," Papers, arXiv.org, number 2504.19623, Apr.
- Nicolas de Roux & Laurent Ferrara, 2025, "Capturing international influences in U.S. monetary policy through a NLP approach," EconomiX Working Papers, University of Paris Nanterre, EconomiX, number 2025-23.
- Marco Zanotti, 2025, "Do global forecasting models require frequent retraining?," Working Papers, University of Milano-Bicocca, Department of Economics, number 551, Apr.
- Giovanni Compiani & Ilya Morozov & Stephan Seiler, 2025, "Demand Estimation with Text and Image Data," Papers, arXiv.org, number 2503.20711, Mar, revised Feb 2026.
- Ziqi Li, 2025, "Explainable AI in Spatial Analysis," Papers, arXiv.org, number 2505.00591, May.
- Tiantian Tu, 2025, "Bridging Short- and Long-Term Dependencies: A CNN-Transformer Hybrid for Financial Time Series Forecasting," Papers, arXiv.org, number 2504.19309, Apr.
- Alina Landowska & Robert A. K{l}opotek & Dariusz Filip & Konrad Raczkowski, 2025, "GDP-GFCF Dynamics Across Global Economies: A Comparative Study of Panel Regressions and Random Forest," Papers, arXiv.org, number 2504.20993, Apr.
- Amelie BARBIER-GAUCHARD & Emmanouil SOFIANOS, 2024, "Forecasting Public Debt in the Euro Area Using Machine Learning: Decision Tools for Financial Markets," Working Papers of BETA, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg, number 2024-47.
- Carlos Castro-Iragorri & Manuel Parra-Diaz, 2025, "Stability focused end to end frameworks for risk budgeting portfolios," Documentos de Trabajo, Universidad del Rosario, number 21367, Mar.
- Manuel Parra-Diaz & Carlos Castro-Iragorri, 2025, "Deep Declarative Risk Budgeting Portfolios," Papers, arXiv.org, number 2504.19980, Apr.
- Prashant Garg & Thiemo Fetzer, 2025, "How much does context affect the accuracy of AI health advice?," Papers, arXiv.org, number 2504.18310, Apr, revised Feb 2026.
- Hirmer, Christine & Metzger, Lina-Jeanette, 2025, "Text Mining mit der "Temi-Box"," IAB-Forschungsbericht, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], number 202513, May, DOI: 10.48720/IAB.FB.2513.
- Joao Felipe Gueiros & Hemanth Chandravamsi & Steven H. Frankel, 2025, "Deep Learning vs. Black-Scholes: Option Pricing Performance on Brazilian Petrobras Stocks," Papers, arXiv.org, number 2504.20088, Apr.
- Kyungsu Kim, 2025, "Forecasting Labor Demand: Predicting JOLT Job Openings using Deep Learning Model," Papers, arXiv.org, number 2503.19048, Mar.
- Venkat Ram Reddy Ganuthula & Krishna Kumar Balaraman, 2025, "Artificial Intelligence Quotient (AIQ): A Novel Framework for Measuring Human-AI Collaborative Intelligence," Papers, arXiv.org, number 2503.16438, Feb.
- Sugat Chaturvedi & Rochana Chaturvedi, 2025, "Who Gets the Callback? Generative AI and Gender Bias," Papers, arXiv.org, number 2504.21400, Apr.
- Lars Hornuf & David J. Streich & Niklas Töllich, 2025, "Making GenAI Smarter: Evidence from a Portfolio Allocation Experiment," CESifo Working Paper Series, CESifo, number 11862.
- Jennifer Priefer & Jan-Peter Kucklick & Daniel Beverungen & Oliver Müller, 2025, "Elucidating the Predictive Power of Search and Experience Qualities for Pricing of Complex Goods: A Machine Learning-based Study on Real Estate Appraisal," Working Papers Dissertations, Paderborn University, Faculty of Business Administration and Economics, number 138, May.
- Alena V. Pivavarava & Alexander W. Cats, 2025, "Application of machine learning to the long-period analysis of multiplex internationalization strategies," MUNI ECON Working Papers, Masaryk University, number 2025-05, Aug, DOI: 10.5817/WP_MUNI_ECON_2025-06.