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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 (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:
- Veale, Michael & Van Kleek, Max & Binns, Reuben, 2018, "Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making," SocArXiv, Center for Open Science, number 8kvf4, Feb, DOI: 10.31219/osf.io/8kvf4.
- Hanna Armelius & Christoph Bertsch & Isaiah Hull & Xin Zhang, 2019, "Spread the Word: International Spillovers from Central Bank Communication," BIS Working Papers, Bank for International Settlements, number 824, Dec.
- von Braun, Joachim, , "AI and Robotics Implications for the Poor," Working Papers, University of Bonn, Center for Development Research (ZEF), number 296923, DOI: 10.22004/ag.econ.296923.
- Liu Guang & Wang Xiaojie & Li Ruifan, 2019, "Multi-Scale RCNN Model for Financial Time-series Classification," Papers, arXiv.org, number 1911.09359, Nov.
- Mayaud, Jerome & Anderson, Sam & Tran, Martino & Radic, Valentina, 2018, "Insights from self-organizing maps for predicting accessibility demand for healthcare infrastructure," SocArXiv, Center for Open Science, number yngx4, Oct, DOI: 10.31219/osf.io/yngx4.
- Sheikh Rabiul Islam & William Eberle & Sheikh K. Ghafoor, 2019, "Towards Quantification of Explainability in Explainable Artificial Intelligence Methods," Papers, arXiv.org, number 1911.10104, Nov.
- 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, Graduate School of Economics and Management, Tohoku University, number 105, Nov.
- Nyoni, Thabani, 2019, "Exports and imports in Zimbabwe: recent insights from artificial neural networks," MPRA Paper, University Library of Munich, Germany, number 96906, Nov.
- Veale, Michael, 2017, "Logics and practices of transparency and opacity in real-world applications of public sector machine learning," SocArXiv, Center for Open Science, number 6cdhe, Nov, DOI: 10.31219/osf.io/6cdhe.
- Szell, Michael, 2018, "Crowdsourced Quantification and Visualization of Urban Mobility Space Inequality," SocArXiv, Center for Open Science, number je5r4, Mar, DOI: 10.31219/osf.io/je5r4.
- Delahunty, Fionn & Arcan, Mihael & Johansson, Robert, 2019, "Passive Diagnosis of Mental Health Disorders Incorporating an Empathic Dialogue System," Thesis Commons, Center for Open Science, number 98c3q, Oct, DOI: 10.31219/osf.io/98c3q.
- Siahaan, Andysah Putera Utama & Nasution, Muhammad Dharma Tuah Putra, 2018, "Entrepreneurship Intention Prediction using Decision Tree and Support Vector Machine," INA-Rxiv, Center for Open Science, number mznhb, Jun, DOI: 10.31219/osf.io/mznhb.
- Jaroslav Pavlicek & Ladislav Kristoufek, 2019, "Modeling UK Mortgage Demand Using Online Searches," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2019/18, Jul, 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, University Library of Munich, Germany, number 97071, Nov.
- Fatehkia, Masoomali & Kashyap, Ridhi & Weber, Ingmar, 2018, "Using Facebook Ad Data to Track the Global Digital Gender Gap," SocArXiv, Center for Open Science, number rkvb3, Mar, DOI: 10.31219/osf.io/rkvb3.
- Zihao Zhang & Stefan Zohren & Stephen Roberts, 2019, "Deep Reinforcement Learning for Trading," Papers, arXiv.org, number 1911.10107, Nov.
- 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, arXiv.org, number 1911.09858, Nov.
- Stathoulopoulos, Kostas & Mateos-Garcia, Juan, 2017, "Mapping without a map: Exploring the UK business landscape using unsupervised learning," SocArXiv, Center for Open Science, number ryxdk, Nov, DOI: 10.31219/osf.io/ryxdk.
- McCallum, Malcolm L, 2018, "A method for dealing with regional differences in population size when interpreting slopes in Google Trends query data," SocArXiv, Center for Open Science, number hya7s, Jun, DOI: 10.31219/osf.io/hya7s.