Diego Martinez

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 6

Top Topics

Credit Card Fraud Detection

Density Ratio Estimation

Reinforcement Learning

Top Venues

Publications

Diego Martinez, Daochen Zha, Qiaoyu Tan, Xia Hu
Towards Personalized Preprocessing Pipeline Search. CoRR (2023)
Grace Vincent, Kai Pak, Diego Martinez, Edwin Goh, Jinbo Wang, Brian Bue, Ben Holt, Brian Wilson
Unsupervised SAR Images for Submesoscale Oceanic Eddy Detection. IGARSS (2023)
Diego Martinez, Luis Riazuelo, Luis Montano
Deep reinforcement learning oriented for real world dynamic scenarios. CoRR (2022)
Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Hu
TODS: An Automated Time Series Outlier Detection System. AAAI (2021)
Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Hu
TODS: An Automated Time Series Outlier Detection System. CoRR (2020)
Nur Hafieza Ismail, Mengnan Du, Diego Martinez, Zhe He
Multivariate Multi-step Deep Learning Time Series Approach in Forecasting Parkinson's Disease Future Severity Progression. BCB (2019)