Report NEP-BIG-2019-12-09

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:

• Veale, Michael & Van Kleek, Max & Binns, Reuben, 2018. "Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making," SocArXiv 8kvf4, Center for Open Science.
• Hanna Armelius & Christoph Bertsch & Isaiah Hull & Xin Zhang, 2019. "Spread the Word: International Spillovers from Central Bank Communication," BIS Working Papers 824, Bank for International Settlements.
• von Braun, Joachim, 2019. "AI and Robotics Implications for the Poor," Working Papers 296923, University of Bonn, Center for Development Research (ZEF).
• Liu Guang & Wang Xiaojie & Li Ruifan, 2019. "Multi-Scale RCNN Model for Financial Time-series Classification," Papers 1911.09359, arXiv.org.
• Mayaud, Jerome & Anderson, Sam & Tran, Martino & Radic, Valentina, 2018. "Insights from self-organizing maps for predicting accessibility demand for healthcare infrastructure," SocArXiv yngx4, Center for Open Science.
• Sheikh Rabiul Islam & William Eberle & Sheikh K. Ghafoor, 2019. "Towards Quantification of Explainability in Explainable Artificial Intelligence Methods," Papers 1911.10104, arXiv.org.
• Toshikuni Sato, 2019. "Investigating the Impacts of Customer Experience and Attribute Performances on Overall Ratings using Online Review Data: Nonlinear Estimation and Visualization with a Neural Network," DSSR Discussion Papers 105, Graduate School of Economics and Management, Tohoku University.
• Nyoni, Thabani, 2019. "Exports and imports in Zimbabwe: recent insights from artificial neural networks," MPRA Paper 96906, University Library of Munich, Germany.
• Veale, Michael, 2017. "Logics and practices of transparency and opacity in real-world applications of public sector machine learning," SocArXiv 6cdhe, Center for Open Science.
• Szell, Michael, 2018. "Crowdsourced Quantification and Visualization of Urban Mobility Space Inequality," SocArXiv je5r4, Center for Open Science.
• Delahunty, Fionn & Arcan, Mihael & Johansson, Robert, 2019. "Passive Diagnosis of Mental Health Disorders Incorporating an Empathic Dialogue System," Thesis Commons 98c3q, Center for Open Science.
• Siahaan, Andysah Putera Utama & Nasution, Muhammad Dharma Tuah Putra, 2018. "Entrepreneurship Intention Prediction using Decision Tree and Support Vector Machine," INA-Rxiv mznhb, Center for Open Science.
• Jaroslav Pavlicek & Ladislav Kristoufek, 2019. "Modeling UK Mortgage Demand Using Online Searches," Working Papers IES 2019/18, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2019.
• Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "The complexity of the intangible digital economy: an agent-based model," MPRA Paper 97071, University Library of Munich, Germany.
• Fatehkia, Masoomali & Kashyap, Ridhi & Weber, Ingmar, 2018. "Using Facebook Ad Data to Track the Global Digital Gender Gap," SocArXiv rkvb3, Center for Open Science.
• Zihao Zhang & Stefan Zohren & Stephen Roberts, 2019. "Deep Reinforcement Learning for Trading," Papers 1911.10107, arXiv.org.
• Sheikh Rabiul Islam & William Eberle & Sheikh K. Ghafoor & Sid C. Bundy & Douglas A. Talbert & Ambareen Siraj, 2019. "Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy," Papers 1911.09858, arXiv.org.
• Stathoulopoulos, Kostas & Mateos-Garcia, Juan, 2017. "Mapping without a map: Exploring the UK business landscape using unsupervised learning," SocArXiv ryxdk, Center for Open Science.
• McCallum, Malcolm L, 2018. "A method for dealing with regional differences in population size when interpreting slopes in Google Trends query data," SocArXiv hya7s, Center for Open Science.