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ORCIDMIDAS@PKDD/ECML 2019: Würzburg, Germany
- Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Stefano Pascolutti, Giovanni Ponti:
Mining Data for Financial Applications - 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11985, Springer 2020, ISBN 978-3-030-37719-9 - Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger:
MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning. 1-15 - Allison Koenecke
, Amita Gajewar:
Curriculum Learning in Deep Neural Networks for Financial Forecasting. 16-31 - Rafaël Van Belle, Sandra Mitrovic, Jochen De Weerdt:
Representation Learning in Graphs for Credit Card Fraud Detection. 32-46 - Tesi Aliaj, Aris Anagnostopoulos, Stefano Piersanti:
Firms Default Prediction with Machine Learning. 47-59 - Argimiro Arratia, Eduardo Sepúlveda:
Convolutional Neural Networks, Image Recognition and Financial Time Series Forecasting. 60-69 - Thomas Kellermeier, Tim Repke, Ralf Krestel:
Mining Business Relationships from Stocks and News. 70-84 - Saumya Bhadani, Ishan Verma, Lipika Dey:
Mining Financial Risk Events from News and Assessing their Impact on Stocks. 85-100 - Luca Barbaglia, Sergio Consoli, Sebastiano Manzan:
Monitoring the Business Cycle with Fine-Grained, Aspect-Based Sentiment Extraction from News. 101-106 - Xiangru Fan, Xiaoqian Wei, Di Wang, Wen Zhang, Wu Qi:
Multi-step Prediction of Financial Asset Return Volatility Using Parsimonious Autoregressive Sequential Model. 107-121 - Luca Tiozzo Pezzoli, Sergio Consoli, Elisa Tosetti:
Big Data Financial Sentiment Analysis in the European Bond Markets. 122-126 - Giuseppe Santomauro, Daniela Alderuccio, Fiorenzo Ambrosino, Andrea Fronzetti Colladon, Silvio Migliori:
A Brand Scoring System for Cryptocurrencies Based on Social Media Data. 127-132
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