LEARNING FROM NOISY DATA
Experts
- Claudio De Persis
- Pietro Tesi
- Yevgeniy Dodis
- Leonid Reyzin
- Adam D. Smith
- Sanjay Jain
- John Case
- Sheng-De Wang
- Gang Wang
- Vladimir Katkovnik
- Karen O. Egiazarian
- Shai Shalev-Shwartz
- Ding-Xuan Zhou
- Zhe Wu
- Rafail Ostrovsky
- Taghi M. Khoshgoftaar
- Panagiotis D. Christofides
- Andrea Bisoffi
- Steven C. H. Hoi
- Shivam Handa
- Frédéric Chazal
- Wenjie Liu
- Yifei Li
- Ohad Shamir
- Nicolò Cesa-Bianchi
- Leonardo Saraceni
- Jaakko Astola
- William W. Hsieh
- Matthew Klawonn
- Anthony Larue
- Yu-Feng Li
- Jianwen Jiang
- Mingqian Tang
- Kang Huang
- Zhao Kang
- James A. Hendler
- Xingjian Xu
- Howard Zhou
- Matthew C. Valenti
Venues
- CoRR
- IEEE Trans. Signal Process.
- ICML
- CDC
- CVPR
- ICASSP
- J. Comput. Appl. Math.
- Expert Syst. Appl.
- SIAM J. Numer. Anal.
- ISIT
- Pattern Recognit. Lett.
- Neurocomputing
- AAAI
- ACC
- ALT
- ICMLA
- IEEE Trans. Inf. Theory
- Neural Networks
- ICCV
- IEEE Trans. Autom. Control.
- SIAM J. Comput.
- IEEE Trans. Neural Networks Learn. Syst.
- J. Sci. Comput.
- Inf.
- Commun. Stat. Simul. Comput.
- Comput. Chem. Eng.
- ECC
- IEEE Access
- COLT
- Numer. Algorithms
- Neural Comput.
- Int. J. Gen. Syst.
- NeurIPS
- Autom.
- CISS
- Appl. Intell.
- Multiple Classifier Systems
- J. Comput. Syst. Sci.
- Appl. Math. Comput.
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