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ORCID5th MIDAS@PKDD/ECML 2020: Ghent, Belgium
- Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini:
Mining Data for Financial Applications - 5th ECML PKDD Workshop, MIDAS 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12591, Springer 2021, ISBN 978-3-030-66980-5 - David Saltiel, Eric Benhamou, Rida Laraki, Jamal Atif:
Trade Selection with Supervised Learning and Optimal Coordinate Ascent (OCA). 1-15 - Frederico G. Monteiro, Diogo R. Ferreira:
How Much Does Stock Prediction Improve with Sentiment Analysis? 16-31 - Matteo Greco, Michele Spagnoletta, Annalisa Appice, Donato Malerba:
Applying Machine Learning to Predict Closing Prices in Stock Market: A Case Study. 32-39 - Daniel Schlör, Markus Ring, Anna Krause, Andreas Hotho:
Financial Fraud Detection with Improved Neural Arithmetic Logic Units. 40-54 - Sergio Consoli
, Luca Tiozzo Pezzoli, Elisa Tosetti:
Information Extraction From the GDELT Database to Analyse EU Sovereign Bond Markets. 55-67 - Nikita Kozodoi, Stefan Lessmann:
Multi-objective Particle Swarm Optimization for Feature Selection in Credit Scoring. 68-76 - Vipula Rawte, Aparna Gupta, Mohammed J. Zaki:
A Comparative Analysis of Temporal Long Text Similarity: Application to Financial Documents. 77-91 - Giuseppe Santomauro, Daniela Alderuccio, Fiorenzo Ambrosino, Silvio Migliori:
Ranking Cryptocurrencies by Brand Importance: A Social Media Analysis in ENEAGRID. 92-100 - Christoph Scholz, Malte Lehna, Katharina Brauns, André Baier:
Towards the Prediction of Electricity Prices at the Intraday Market Using Shallow and Deep-Learning Methods. 101-118 - Luigi Bellomarini, Davide Magnanimi, Markus Nissl, Emanuel Sallinger:
Neither in the Programs Nor in the Data: Mining the Hidden Financial Knowledge with Knowledge Graphs and Reasoning. 119-134 - Luca Barbaglia, Sergio Consoli, Sebastiano Manzan:
Exploring the Predictive Power of News and Neural Machine Learning Models for Economic Forecasting. 135-149
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