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Showing results 199 to 218 of 354 < previous next >

Issue Date	Title	Author(s)
2020	The language of learning	Desai, Aditi
2022	Learn to machine learn via games in the classroom	Zammit, Marvin; Voulgari, Iro; Liapis, Antonios; Yannakakis, Georgios N.
2021	Learning controllable content generators	Earle, Sam; Edwards, Maria; Khalifa, Ahmed; Bontrager, Philip; Togelius, Julian
2022	Learning DFAs from noisy training data	Grech, Daniel (2022)
2021	Learning garment synthesis through a shared multimodal approach	Abela, Brandon (2021)
2020	Learning models using similarity based and one vs previous paradigms	Cauchi, Daniel (2020)
2022	Learning task-independent game state representations from unlabeled images	Trivedi, Chintan; Makantasis, Konstantinos; Liapis, Antonios; Yannakakis, Georgios N.
2019-09	Learning to invert pseudo-spectral data for seismic waveforms	Zerafa, Christopher; Galea, Pauline; Sebu, Cristiana
2006	Learning with distance	Abela, John
2020	A legal analysis of the co-existence of machine learning and data privacy in light of the General Data Protection Regulation	Conti, Shaznay (2020)
2019	Level design patterns in 2D games	Khalifa, Ahmed; De Mesentier Silva, Fernando; Togelius, Julian
2021	Leveraging the enterprise knowledge graph for predictive maintenance	Salomone, Ivan (2021)
2021	LigityScore : convolutional neural network for binding-affinity predictions	Azzopardi, Joseph; Ebejer, Jean Paul
2018	Literature review of machine learning techniques to analyse flight data	Jasra, Sameer; Gauci, Jason; Muscat, Alan; Valentino, Gianluca; Zammit-Mangion, David; Camilleri, Robert
2015	Literature review of procedural content generation in puzzle games	Khalifa, Ahmed; Fayek, Magda
2021	Lode Encoder : AI-constrained co-creativity	Bhaumik, Debosmita; Khalifa, Ahmed; Togelius, Julian
2023	Machine learning and deep learning for financial data analysis	Dhatterwal, Jagjit Singh; Kaswan, Kuldeep Singh; Grima, Simon; Sood, Kiran
1998	Machine learning and wrappers to the rescue of the WWW	Montebello, Matthew
2018-05	Machine learning applied at the LHC for beam loss pattern classification	Valentino, Gianluca; Salvachua, Belen
2021-01	Machine learning applied to the analysis of nonlinear beam dynamics simulations for the CERN Large Hadron Collider and its luminosity upgrade	Giovannozzi, Massimo; Maclean, Ewen; Montanari, Carlo Emilio; Valentino, Gianluca; Van der Veken, Frederik

Showing results 199 to 218 of 354 < previous next >