Simone Romano

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James BaileyProfessor, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Vinh NguyenDeep Learning @NVIDIAVerified email at nvidia.com
Karin VerspoorExecutive Dean, School of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
Jeffrey ChanSchool of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
Yisen WangAssistant Professor, Peking UniversityVerified email at pku.edu.cn
Xingjun MaSchool of Computer Science, Fudan UniversityVerified email at unimelb.edu.au
James C. BezdekUniversity of Melbourne, Computer and Information SystemsVerified email at unimelb.edu.au
Sarah M. ErfaniAssociate Professor and DECRA Fellow, Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Hanxun HuangThe University of MelbourneVerified email at unimelb.edu.au
Christopher LeckieProfessor, Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Jian PeiArthur S. Pearse Distinguished Professor, Duke UniversityVerified email at cs.sfu.ca
Michael E. HouleNew Jersey Institute of TechnologyVerified email at njit.edu
Oussama ChellyMicrosoft AI & IoT Insider Lab EuropeVerified email at microsoft.com
Shu-Tao XiaSIGS, Tsinghua UniversityVerified email at sz.tsinghua.edu.cn
Lawrence CavedonSchool of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
Orla MorrisseyAlfred Health and Monash UniversityVerified email at monash.edu
monica slavinPeterMacCallum Cancer and Royal Melbourne HospitalVerified email at petermac.org
Prof R KotagiriRetired Professor,Verified email at acm.org

Simone Romano

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Verified email at simoneromano.com - Homepage

Machine Learning AI NLP LLMs Deep learning


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Normalized loss functions for deep learning with noisy labels X Ma, H Huang, Y Wang, S Romano, S Erfani, J Bailey International Conference on Machine Learning, 2020	514	2020
Adjusting for chance clustering comparison measures S Romano, NX Vinh, J Bailey, K Verspoor Journal of Machine Learning Research 17 (134), 1-32, 2016	251	2016
Standardized mutual information for clustering comparisons: one step further in adjustment for chance S Romano, J Bailey, V Nguyen, K Verspoor International conference on machine learning, 1143-1151, 2014	165	2014
Effective global approaches for mutual information based feature selection XV Nguyen, J Chan, S Romano, J Bailey Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	161	2014
Discovering outlying aspects in large datasets NX Vinh, J Chan, S Romano, J Bailey, C Leckie, K Ramamohanarao, ... Data mining and knowledge discovery 30, 1520-1555, 2016	96	2016
Ground truth bias in external cluster validity indices Y Lei, JC Bezdek, S Romano, NX Vinh, J Chan, J Bailey Pattern Recognition 65, 58-70, 2017	69	2017
Extending information-theoretic validity indices for fuzzy clustering Y Lei, JC Bezdek, J Chan, NX Vinh, S Romano, J Bailey IEEE Transactions on Fuzzy Systems 25 (4), 1013-1018, 2016	48	2016
Measuring dependency via intrinsic dimensionality S Romano, O Chelly, V Nguyen, J Bailey, ME Houle 2016 23rd international conference on pattern recognition (ICPR), 1207-1212, 2016	32	2016
Unbiased multivariate correlation analysis Y Wang, S Romano, V Nguyen, J Bailey, X Ma, ST Xia Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017	26	2017
A framework to adjust dependency measure estimates for chance S Romano, NX Vinh, J Bailey, K Verspoor Proceedings of the 2016 SIAM international conference on data mining, 423-431, 2016	20	2016
Generalized information theoretic cluster validity indices for soft clusterings Y Lei, JC Bezdek, J Chan, NX Vinh, S Romano, J Bailey 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 24-31, 2014	15	2014
The randomized information coefficient: Assessing dependencies in noisy data S Romano, NX Vinh, K Verspoor, J Bailey Machine Learning 107, 509-549, 2018	13	2018
Enhancing Diagnostics for Invasive Aspergillosis using Machine Learning S Romano, J Bailey, L Cavedon, O Morrissey, M Slavin, K Verspoor	1	2014
Design and Adjustment of Dependency Measures S Romano University of Melbourne, Department of Computing and Information Systems, 2015		2015
Analisi di dati clinici relativi alla terapia per l'epatite C S Romano		2009
Sicurezza dei dati in sistemi di mobile health: metodologie ed esempi S Romano		2008
Data Security in Mobile Health Systems: Methodology and Examples S Romano Università degli Studi di Padova, 2008		2008
Hepatitis C Therapy: Clinical Data Analysis S Romano Università degli Studi di Padova, 0

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