Simone Romano

According to our database, Simone Romano authored at least 13 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

Normalized Loss Functions for Deep Learning with Noisy Labels.

Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

The randomized information coefficient: assessing dependencies in noisy data.

Simone Romano, Xuan Vinh Nguyen, Karin Verspoor, James Bailey

Mach. Learn., 2018

2017

Extending Information-Theoretic Validity Indices for Fuzzy Clustering.

Yang Lei, James C. Bezdek, Jeffrey Chan, Xuan Vinh Nguyen, Simone Romano, James Bailey

IEEE Trans. Fuzzy Syst., 2017

Ground truth bias in external cluster validity indices.

Yang Lei, James C. Bezdek, Simone Romano, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey

Pattern Recognit., 2017

Unbiased Multivariate Correlation Analysis.

Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Adjusting for Chance Clustering Comparison Measures.

Simone Romano, Xuan Vinh Nguyen, James Bailey, Karin Verspoor

J. Mach. Learn. Res., 2016

Discovering outlying aspects in large datasets.

Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei

Data Min. Knowl. Discov., 2016

A Framework to Adjust Dependency Measure Estimates for Chance.

Simone Romano, Xuan Vinh Nguyen, James Bailey, Karin Verspoor

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Measuring dependency via intrinsic dimensionality.

Simone Romano, Oussama Chelly, Vinh Nguyen, James Bailey, Michael E. Houle

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Design and adjustment of dependency measures.

Simone Romano

PhD thesis, 2015

2014

Effective global approaches for mutual information based feature selection.

Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, James Bailey

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance.

Simone Romano, James Bailey, Xuan Vinh Nguyen, Karin Verspoor

Proceedings of the 31th International Conference on Machine Learning, 2014

Generalized information theoretic cluster validity indices for soft clusterings.

Yang Lei, James C. Bezdek, Jeffrey Chan, Xuan Vinh Nguyen, Simone Romano, James Bailey

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014