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Report NEP-BIG-2021-09-13
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:
- Marcelo Cajias & Joseph-Alexander Zeitler, 2021, "Should I Contact Him or Not? – Quantifying the Demand for Real Estate with Interpretable Machine Learning Methods," ERES, European Real Estate Society (ERES), number eres2021_70, Jan.
- Lachlan O'Neill & Simon D Angus & Satya Borgohain & Nader Chmait & David Dowe, 2021, "Creating Powerful and Interpretable Models with Regression Networks," SoDa Laboratories Working Paper Series, Monash University, SoDa Laboratories, number 2021-09, Sep.
- Brunori, Paolo & Hufe, Paul & Mahler, Daniel Gerszon, 2021, "The Roots of Inequality: Estimating Inequality of Opportunity from Regression Trees and Forests," IZA Discussion Papers, IZA Network @ LISER, number 14689, Aug.
- Bastien Lextrait, 2021, "Scaling up SME's credit scoring scope with LightGBM," EconomiX Working Papers, University of Paris Nanterre, EconomiX, number 2021-25.
- Söhnke M. Bartram & Jürgen Branke & Mehrshad Motahari, 2020, "Artificial intelligence in asset management," Working Papers, Cambridge Judge Business School, University of Cambridge, number 20202001, Mar.
- Jiamin Yu, 2021, "Three fundamental problems in risk modeling on big data: an information theory view," Papers, arXiv.org, number 2109.03541, Sep.
- Paul Bilokon & David Finkelstein, 2021, "Iterated and exponentially weighted moving principal component analysis," Papers, arXiv.org, number 2108.13072, Aug.
- Makariou, Despoina & Barrieu, Pauline & Chen, Yining, 2021, "A random forest based approach for predicting spreads in the primary catastrophe bond market," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 111529, Nov.
- Ahmed, Shamira, 2021, "A Gender perspective on the use of Artificial Intelligence in the African FinTech Ecosystem: Case studies from South Africa, Kenya, Nigeria, and Ghana," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world, International Telecommunications Society (ITS), number 238002.
- Lin, Trisha T. C., 2021, "Socialbot representations on cross media platforms during 2020 Taiwanese Presidential Election," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world, International Telecommunications Society (ITS), number 238037.
- Andr'es Garc'ia-Medina & Toan Luu Duc Huynh3, 2021, "What drives bitcoin? An approach from continuous local transfer entropy and deep learning classification models," Papers, arXiv.org, number 2109.01214, Sep.
- Gnecco Giorgio & Nutarelli Federico & Riccaboni Massimo, 2021, "Matrix Completion of World Trade," Papers, arXiv.org, number 2109.03930, Sep.
- Philipp Maximilian Mueller & Björn-Martin Kurzrock, 2021, "Document Classification and Key Information for Technical Due Diligence in Real Estate Management," ERES, European Real Estate Society (ERES), number eres2021_64, Jan.
- Hastenteufel, Jessica & Günther, Maik & Rehfeld, Katharina, 2021, "From Big to Smart: Ausgewählte Einsatzmöglichkeiten von Smart Data in Banken," IU Discussion Papers - Business & Management, IU International University of Applied Sciences, number 8/2021.
- Lucien Boulet, 2021, "Forecasting High-Dimensional Covariance Matrices of Asset Returns with Hybrid GARCH-LSTMs," Papers, arXiv.org, number 2109.01044, Aug.
- Snehalkumar & S. Gaikwad & Shankar Iyer & Dalton Lunga & Elizabeth Bondi, 2021, "Proceedings of KDD 2021 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning," Papers, arXiv.org, number 2109.00100, Aug, revised Sep 2021.
- Janssen, Patrick & Sadowski, Bert M., 2021, "Bias in Algorithms: On the trade-off between accuracy and fairness," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world, International Telecommunications Society (ITS), number 238032.
- C Castro-Iragorri & J RamÔøΩrez, 2021, "Forecasting Dynamic Term Structure Models with Autoencoders," Documentos de Trabajo, Universidad del Rosario, number 19431, Jul.