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ORCIDMIDAS/PAP@PKDD/ECML 2018: Dublin, Ireland
- Carlos Alzate, Anna Monreale, Livio Bioglio, Valerio Bitetta, Ilaria Bordino, Guido Caldarelli, Andrea Ferretti, Riccardo Guidotti, Francesco Gullo, Stefano Pascolutti, Ruggero G. Pensa, Céline Robardet, Tiziano Squartini:
ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11054, Springer 2019, ISBN 978-3-030-13462-4
MIDAS 2018: The 3rd Workshop on MIning DAta for Financial ApplicationS
- Jacopo De Stefani
, Olivier Caelen, Dalila Hattab, Yann-Aël Le Borgne, Gianluca Bontempi:
A Multivariate and Multi-step Ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting. 7-22 - Georgios Moysiadis, Ioannis Anagnostou, Drona Kandhai:
Calibrating the Mean-Reversion Parameter in the Hull-White Model Using Neural Networks. 23-36 - Kei Nakagawa, Takumi Uchida, Tomohisa Aoshima:
Deep Factor Model - Explaining Deep Learning Decisions for Forecasting Stock Returns with Layer-Wise Relevance Propagation. 37-50 - Narges Tabari, Armin Seyeditabari, Tanya Peddi, Mirsad Hadzikadic, Wlodek Zadrozny:
A Comparison of Neural Network Methods for Accurate Sentiment Analysis of Stock Market Tweets. 51-65 - Marko Hassinen, Antti Ukkonen:
A Progressive Resampling Algorithm for Finding Very Sparse Investment Portfolios. 66-80 - Simon van der Zon, Wouter Duivesteijn, Werner van Ipenburg, Jan Veldsink, Mykola Pechenizkiy:
ICIE 1.0: A Novel Tool for Interactive Contextual Interaction Explanations. 81-94 - Ali Caner Türkmen, Ali Taylan Cemgil:
Testing for Self-excitation in Financial Events: A Bayesian Approach. 95-102 - Giovanni Ponti, Giuseppe Santomauro, Fiorenzo Ambrosino, Giovanni Bracco, Antonio Colavincenzo, Matteo De Rosa, Agostino Funel, Dante Giammattei, Guido Guarnieri, Silvio Migliori:
A Web Crawling Environment to Support Financial Strategies and Trend Correlation - - Extended Abstract -. 103-107
PAP 2018: The 2nd International Workshop on Personal Analytics and Privacy
- Teresa Anna Steiner, David Enslev Nyrnberg, Lars Kai Hansen:
A Differential Privacy Workflow for Inference of Parameters in the Rasch Model. 113-124 - Derian Boer, Zahra Ahmadi, Stefan Kramer:
Privacy Preserving Client/Vertical-Servers Classification. 125-140 - Roberto Pellungrini, Anna Monreale, Riccardo Guidotti:
Privacy Risk for Individual Basket Patterns. 141-155 - Michela Natilli, Anna Monreale, Riccardo Guidotti, Luca Pappalardo:
Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis. 156-171
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last updated on 2024-06-27 20:30 CEST by the dblp team
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