54 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "P" "P" "P" positions at Monash University in Australia

Pooling time series with common asynchronous trends - with energy and other applications

Monash University | Melbourne, Victoria | Australia | 2 days ago

, 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

Understanding material failure by machine learning analysis of pattern strains

Monash University | Melbourne, Victoria | Australia | 2 days ago

, Joshua W. and D.L. Dowe (2005). ``Minimum Message Length and Generalized Bayesian Nets with Asymmetric Languages'', Chapter 11 (pp265-294) in P. Gru:nwald, I. J. Myung and M. A. Pitt (eds.), Advances in

Agentic AI for Software Teams: Building the Next Horizon of SWE Agents for Society with Atlassian

Monash University | Melbourne, Victoria | Australia | 2 days ago

🎯 Research Vision The next generation of software engineering tools will move beyond autocomplete and static code generation toward autonomous, agentic systems — AI developers capable of planning

Clustering of (time series of) generalised dynamic Bayesian nets, etc.

Monash University | Melbourne, Victoria | Australia | 2 days ago

Languages'', Chapter 11 (pp265-294) in P. Gru:nwald, I. J. Myung and M. A. Pitt (eds.), Advances in Minimum Description Length: Theory and Applications, M.I.T. Press (MIT Press), April 2005, ISBN 0-262-07262

Decision AI for biodiversity

Monash University | Melbourne, Victoria | Australia | 2 days ago

reinforcement learning. In International conference on machine learning (pp. 2107-2128). PMLR. - Péron, M., Becker, K., Bartlett, P., & Chades, I. (2017, February). Fast-tracking stationary MOMDPs for adaptive

Optimal clustering of DNA and RNA binding sites from de novo motif discovery using Minimum Message Length

Monash University | Melbourne, Victoria | Australia | 2 days ago

-8 June, 2003 Comley, Joshua W. and D.L. Dowe (2005). ``Minimum Message Length and Generalized Bayesian Nets with Asymmetric Languages'', Chapter 11 (pp265-294) in P. Gru:nwald, I. J. Myung and M. A

Does deep learning over-fit - and, if so, how does it work?

Monash University | Melbourne, Victoria | Australia | 2 days ago

  (Link to the preface [and p vi, also here]) Wallace, C.S. and D.M. Boulton (1968), ``An information measure for classification'', Computer Journal, Vol 11, No 2, August 1968, pp 185-194 Wallace, C.S. and

Precision medicine for paediatric brain cancer patients

Monash University | Melbourne, Victoria | Australia | 2 days ago

., Gorthi A., Wang L., et.al. Predicting drug response of tumors from integrated genomic profiles by deep neural networks. 2019. BMC Medical Genomics volume 12, Article number: 18 Luo P., Ding Y., Lei X., Wu

Combating antimicrobial resistance through use of genomics and artificial intelligence

Monash University | Melbourne, Victoria | Australia | 2 days ago

. (2005), ``Statistical and Inductive Inference by Minimum Message Length'', Springer  (Link to the preface [and p vi, also here]) Wallace, C.S. and D.M. Boulton (1968), ``An information measure for

Science as a public good: improving how we do research with game theory and computation

Monash University | Melbourne, Victoria | Australia | 3 days ago

Evolution. Please check our publications for more details: http://garciajulian.com [1] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference