Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Daniel Karl I. Weidele"'
Autor:
Daniel Karl I. Weidele, Shazia Afzal, Abel N. Valente, Cole Makuch, Owen Cornec, Long Vu, Dharmashankar Subramanian, Werner Geyer, Rahul Nair, Inge Vejsbjerg, Radu Marinescu, Paulito Palmes, Elizabeth M. Daly, Loraine Franke, Daniel Haehn
Publikováno v:
Proceedings of the 28th International Conference on Intelligent User Interfaces.
We present AutoDOViz, an interactive user interface for automated decision optimization (AutoDO) using reinforcement learning (RL). Decision optimization (DO) has classically being practiced by dedicated DO researchers where experts need to spend lon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9f7460ed513f5093b6e3e59a0bca3a8
https://doi.org/10.1145/3581641.3584094
https://doi.org/10.1145/3581641.3584094
Autor:
Kavitha Srinivas, Takaaki Tateishi, Daniel Karl I. Weidele, Udayan Khurana, Horst Samulowitz, Toshihiro Takahashi, Dakuo Wang, Lisa Amini
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:13224-13226
In recent years, the automation of machine learning and data science (AutoML) has attracted significant attention. One under-explored dimension of AutoML is being able to automatically utilize domain knowledge (such as semantic concepts and relations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9121469172743df53c4e2628b51a48f5
https://doi.org/10.1609/aaai.v36i11.21735
https://doi.org/10.1609/aaai.v36i11.21735
Autor:
Daniel Karl I. Weidele, Steve Pieper, Fan Zhang, Suheyla Cetin-Karayumak, Lauren J. O'Donnell, Loraine Franke, Daniel Haehn, Yogesh Rathi
Publikováno v:
PacificVis
Tractography from high-dimensional diffusion magnetic resonance imaging (dMRI) data allows brain's structural connectivity analysis. Recent dMRI studies aim to compare connectivity patterns across subject groups and disease populations to understand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a51c223c119431939921d81ee50c8ccc
https://doi.org/10.1109/pacificvis52677.2021.00023
https://doi.org/10.1109/pacificvis52677.2021.00023
Autor:
Sijia Liu, Michael Muller, Parikshit Ram, Horst Samulowitz, Dakuo Wang, Daniel Karl I. Weidele, Arunima Chaudhary, Lisa Amini, Justin D. Weisz, Abel N. Valente, Dustin Ramsey Torres
Publikováno v:
IUI Companion
Automated Artificial Intelligence and Machine Learning (AutoAI / AutoML) can now automate every step of the end-to-end AI Lifecycle, from data cleaning, to algorithm selection, and to model deployment and monitoring in the machine learning workflow.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d33b483eddb12006a839780662142244
https://doi.org/10.1145/3379336.3381474
https://doi.org/10.1145/3379336.3381474
Autor:
Erick Oduor, Alexander G. Gray, Justin D. Weisz, Dakuo Wang, Michael Muller, Daniel Karl I. Weidele, Josh Andres
Publikováno v:
IUI
Artificial Intelligence (AI) can now automate the algorithm selection, feature engineering, and hyperparameter tuning steps in a machine learning workflow. Commonly known as AutoML or AutoAI, these technologies aim to relieve data scientists from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2d56ae9e030e3a06e42c98f179f351b
https://doi.org/10.1145/3377325.3377538
https://doi.org/10.1145/3377325.3377538
Autor:
Shen, Meng1 (AUTHOR) shenmeng@bit.edu.cn, Tan, Zhehui1 (AUTHOR) zhehuitan@bit.edu.cn, Niyato, Dusit2 (AUTHOR) niyato@ntu.edu.sg, Liu, Yuzhi1 (AUTHOR) liuyuzhi@bit.edu.cn, Kang, Jiawen3 (AUTHOR) kavinkang@gdut.edu.cn, Xiong, Zehui4 (AUTHOR) zehui_xiong@sutd.edu.sg, Zhu, Liehuang1 (AUTHOR) liehuangz@bit.edu.cn, Wang, Wei5 (AUTHOR) wangwei1@bjtu.edu.cn, Shen, Xuemin6 (AUTHOR) sshen@uwaterloo.ca
Publikováno v:
ACM Computing Surveys. Oct2024, Vol. 56 Issue 10, p1-39. 39p.
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Apr2024, Vol. 18 Issue 3, p1-27, 27p
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Feb2024, Vol. 18 Issue 2, p1-52, 52p
Autor:
Jan Veuger
This book is a result of international collaboration on blockchain technology and application possibilities. In 2021, the Research Group Blockchain of Saxion University in the Netherlands conducted several webinars, conferences, masterclasses, and re
Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets.Human-centered data science is a new interdisciplinary field that draws from human-computer interaction,