Web: http://arxiv.org/abs/2209.10658

Sept. 23, 2022, 1:11 a.m. | Timur Sattarov, Dayananda Herurkar, Jörn Hees

cs.LG updates on arXiv.org arxiv.org

Recent advances in Explainable AI (XAI) increased the demand for deployment
of safe and interpretable AI models in various industry sectors. Despite the
latest success of deep neural networks in a variety of domains, understanding
the decision-making process of such complex models still remains a challenging
task for domain experts. Especially in the financial domain, merely pointing to
an anomaly composed of often hundreds of mixed type columns, has limited value
for experts.


Hence, in this paper, we propose a …

arxiv data denoising financial tabular tabular data

More from arxiv.org / cs.LG updates on arXiv.org

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Data Scientist (Analytics) - Singapore

@ Momos | Singapore, Central, Singapore

Machine Learning Scientist, Drug Discovery

@ Flagship Pioneering, Inc. | Cambridge, MA

Applied Scientist - Computer Vision

@ Flawless | Los Angeles, California, United States

Sr. Data Engineer, Customer Service

@ Wayfair Inc. | Boston, MA