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contrastive self-supervised learning task to learn from massive amounts of EEG data. Frontiers in human neuroscience. [2] https://www.emotiv.com
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, Farshid, Global Temperatures and Greenhouse Gases: A Common Features Approach (September 30, 2019). Available at SSRN: https://ssrn.com/abstract=3461418 or http://dx.doi.org/10.2139/ssrn.3461418 Fitzgibbon
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the endless possibilities of digital sound, allowing the plucking of sounds out of thin air. URLs and Further Reading https://airsticks.xyz/ Ilsar, A.A., 2018. The AirSticks: a new instrument for live
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this website but submit the Expression of Interest via the Monash Data Futures Institute Application Link: https://www.monash.edu/data-futures-institute/study/phd-scholarship/mobility-data-driven-planning
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, Statistics and Computing, Vol. 10, No. 1, Jan. 2000, pp73-83 Wallace, C.S. and P.R. Freeman (1987). Estimation and inference by compact coding. J. Royal Statist. Soc. B, 49, 240–252.
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fee waived. Please request a waiver code from asiascholarship@monash.edu before you submit your course application. More information and entry requirements for international undergraduate courses 2025
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for this scholarship will have their $125 course application fee waived. Please request a waiver code from asiascholarship@monash.edu before you submit your course application (include your country
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Epilepsyecosystem.org as a way to bring researchers, code and data together from all over the world to help solve the problem of seizure prediction. Required knowledge Machine learning, AI, signal processing, dynamical
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nucleosynthesis in violent episodes suffered by ancient stars" (with Dr Carolyn Doherty) "Applying 3D stellar hydrodynamics findings to 1D stellar codes: Improving the modelling of convection in stars" web page
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Linguistics (ACL), 2019 [2] Learning to Actively Learn Neural Machine Translation [code] Ming Liu, Wray Buntine, Gholamreza Haffari In Proceedings of CoNLL, 2018. [3] Learning How to Actively Learn: A Deep