Conference Proceeding
The Variational InfoMax AutoEncoder
Crescimanna V & Graham B (2020) The Variational InfoMax AutoEncoder. In: 2020 International Joint Conference on Neural Networks. IEEE International Joint Conference on Neural Networks (IJCNN) IJCNN 2020 - International Joint Conference on Neural Networks, Glasgow, UK, 19.07.2020-24.07.2020. Piscataway, NJ: IEEE. https://doi.org/10.1109/IJCNN48605.2020.9207048
Conference Proceeding
Zamuda A, Crescimanna V, Burguillo JC, Matos Dias J, Wegrzyn-Wolska K, Rached I, González-Vélez H, Senkerik R, Pop C, Cioara T, Salomie I & Bracciali A (2019) Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era. In: Kołodziej J & González-Vélez H (eds.) High-Performance Modelling and Simulation for Big Data Applications. Lecture Notes in Computer Science, 11400. ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet), Vilnius, Lithuania, 28.03.2019-29.03.2019. Cham, Switzerland: Springer, pp. 325-349. https://doi.org/10.1007/978-3-030-16272-6_12