About this Research Topic
The data science challenge platform https://www.aicrowd.com/ hosts multiple open data science challenges each year. The challenges cover problems in image classification, text recognition, reinforcement learning, adversarial attacks, image segmentation, resource allocation optimization, and many other areas across multiple domains.
The challenges often pose problems at the cutting edge of scientific research and engineering. Thus, providing comprehensive explanations of the problems, including baseline benchmarks, as well as the best-performing solutions identified during the challenges, is of great value not only to the challenge posers, but to the research community at large.
This research topic contains these contributions in the form of peer-reviewed best papers. Only invited papers are considered.
Keywords: crowdAI, Artificial intelligence, classification, text recognition, reinforcement learning, adversarial attacks, image segmentation, resource allocation optimization
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.