Report NEP-BIG-2021-09-06

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé 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:

• Marcelo Cajias & Willwersch Jonas & Lorenz Felix & Franz Fuerst, 2021. "Peeking inside the Black Box: Interpretable Machine Learning and Hedonic Rental Estimation," ERES eres2021_104, European Real Estate Society (ERES).
• Lisa Crosato & Caterina Liberati & Marco Repetto, 2021. "Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default," Papers 2108.13914, arXiv.org, revised Sep 2021.
• Andres, Antonio Rodriguez & Otero, Abraham & Amavilah, Voxi Heinrich, 2021. "Evaluation of technology clubs by clustering: A cautionary note," MPRA Paper 109138, University Library of Munich, Germany.
• Dat Thanh Tran & Juho Kanniainen & Moncef Gabbouj & Alexandros Iosifidis, 2021. "Bilinear Input Normalization for Neural Networks in Financial Forecasting," Papers 2109.00983, arXiv.org.
• Benedict von Ahlefeldt-Dehn & Marcelo Cajias & Wolfgang Schäfers, 2021. "The Future of Commercial Real Estate Market Research: A Case for Applying Machine Learning," ERES eres2021_49, European Real Estate Society (ERES).
• Philipp Maximilian Mueller & Björn-Martin Kurzrock, 2021. "Document Classification for Machine Learning in Real Estate Professional Services – Results of the Property Research Trust Project," ERES eres2021_65, European Real Estate Society (ERES).
• Juergen Deppner & Marcelo Cajias & Wolfgang Schäfers, 2021. "Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A Spatial Cross-Validation Approach," ERES eres2021_51, European Real Estate Society (ERES).
• Snehalkumar & S. Gaikwad & Shankar Iyer & Dalton Lunga & Yu-Ru Lin, 2021. "Proceedings of KDD 2020 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning," Papers 2109.00435, arXiv.org, revised Sep 2021.
• Boris Babic & Daniel L. Chen & Theodoros Evgeniou & Anne-Laure Fayard, 2021. "Onboarding AI," Post-Print hal-03276433, HAL.
• Matthias Soot & Sabine Horvath & Hans-Berndt Neuner & Alexandra Weitkamp, 2021. "Analysis of Property Yields for Multi-Family Houses with Spatial Method and ANN," ERES eres2021_44, European Real Estate Society (ERES).
• Haataja, Meeri & Bryson, Joanna J., 2021. "What costs should we expect from the EU’s AI Act?," SocArXiv 8nzb4, Center for Open Science.