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Time Series Forecasting using RNNs: an Extended Attention Mechanism to Model Periods and Handle Missing Values.

, , , , , and . CoRR, (2017)

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Where Do You Want To Invest? Predicting Startup Funding From Freely, Publicly Available Web Information., , , , and . CoRR, (2022)Valuation of Startups: A Machine Learning Perspective., , , , and . ECIR (1), volume 12656 of Lecture Notes in Computer Science, page 176-189. Springer, (2021)RDF triples extraction from company web pages: comparison of state-of-the-art Deep Models., , , and . JOWO, volume 2708 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Terminology-based Text Embedding for Computing Document Similarities on Technical Content., , , and . PFIA (TIA), page 31-42. ATALA, (2019)Itemset approximation using Constrained Binary Matrix Factorization., , and . DSAA, page 39-45. IEEE, (2014)Selecting representative instances from datasets., , and . DSAA, page 1-10. IEEE, (2015)Do Topic-Dependent Models Improve Microblog Sentiment Estimation?, and . ICWSM, The AAAI Press, (2014)Efficient local search for L1 and L2 binary matrix factorization., , and . Intell. Data Anal., 20 (4): 783-807 (2016)Mining Representative Items and Itemsets with Binary Matrix Factorization and Instance Selection. (Fouille d'items et d'itemsets représentatifs avec des méthodes de décomposition de matrices binaires et de sélection d'instances).. Grenoble Alpes University, France, (2015)Improved Local Search for Binary Matrix Factorization., , and . AAAI, page 1198-1204. AAAI Press, (2015)