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To address this issue, now Nature Machine Intelligence gives authors an option to publish open access papers for an additional fee, [3] and "authors remain owners of the research reported, and the code and data supporting the main findings of an article should be openly available. Moreover, preprints are allowed, in fact encouraged, and a link ...
Cynthia Diane Rudin (born 1976) [1] is an American computer scientist and statistician specializing in machine learning and known for her work in interpretable machine learning. She is the director of the Interpretable Machine Learning Lab at Duke University , where she is a professor of computer science, electrical and computer engineering ...
The journal covers research in computer vision and image understanding, pattern analysis and recognition, machine intelligence, machine learning, search techniques, document and handwriting analysis, medical image analysis, video and image sequence analysis, content-based retrieval of image and video, and face and gesture recognition.
The Journal for Artificial Intelligence Research (JAIR) is one of the premier publication venues in artificial intelligence. JAIR also stands out in that, since its launch in 1993, it has been 100% open-access and non-profit.
Minds and Machines is a peer-reviewed academic journal covering artificial intelligence, philosophy, and cognitive science. [1] The journal was established in 1991 with James Henry Fetzer as founding editor-in-chief. [2] It was published by Kluwer Academic Publishers but was taken over by Springer in 2021 (Springer Science+Business Media).
Jailen Bedford shot 5 for 9 (3 for 4 from 3-point range) and 5 of 6 from the free-throw line to add 18 points. Dedan Thomas Jr. scored 21 points as UNLV beat Fresno State 87-77 on Saturday night ...
Chiefs quarterback Patrick Mahomes has been efficient this season, going interception-free in five of his last six games. But fantasy managers expected more than 1.4 touchdowns per game. Derek ...
Margaret Mitchell is a computer scientist who works on algorithmic bias and fairness in machine learning.She is most well known for her work on automatically removing undesired biases concerning demographic groups from machine learning models, [2] as well as more transparent reporting of their intended use.