Daniel Lowd 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	6788	3717
h 指数	29	23
i10 指数	40	33

800

400

200

600

200620072008200920102011201220132014201520162017201820192020202120222023202437 60 127 131 176 238 222 207 297 337 380 361 430 490 625 729 651 783 439

开放获取的出版物数量

查看全部

21 篇文章

0 篇文章

可查看的文章

无法查看的文章

根据资助方的强制性开放获取政策

合著作者

Pedro DomingosProfessor of Computer Science and Engineering, University of Washington在 cs.washington.edu 的电子邮件经过验证
Dejing DouChief Scientist, BEDI Cloud/Distinguished Professor, Fudan University在 cs.uoregon.edu 的电子邮件经过验证
Hoifung PoonGeneral Manager, Microsoft Health Futures在 microsoft.com 的电子邮件经过验证
Javid EbrahimiApple在 apple.com 的电子邮件经过验证
Matthew RichardsonMicrosoft Research在 microsoft.com 的电子邮件经过验证
Parag SinglaIndian Institute of Technology Delhi在 cse.iitd.ac.in 的电子邮件经过验证
Stanley KokNational University of Singapore在 nus.edu.sg 的电子邮件经过验证
Zayd Hammoudeh, Ph.D.Qualtrics AI在 qualtrics.com 的电子邮件经过验证
Pedram RooshenasUniversity of Illinois Chicago在 uic.edu 的电子邮件经过验证
Jonathan BrophyUniversity of Oregon在 cs.uoregon.edu 的电子邮件经过验证
Christopher MeekPrinciple Researcher, Microsoft Research在 microsoft.com 的电子邮件经过验证
Anyi RaoPostdoc, Stanford University在 stanford.edu 的电子邮件经过验证
Aniruddh NathGoogle, LLC在 google.com 的电子邮件经过验证
Jesse DavisProfessor, Department of Computer Science, KU Leuven在 cs.kuleuven.be 的电子邮件经过验证
Ali TorkamaniUniversity of Oregon, Cambia Health Solutions, Amazon Web Services在 amazon.com 的电子邮件经过验证
Sriraam NatarajanUniversity of Texas at Dallas在 utdallas.edu 的电子邮件经过验证
Reza RejaieProfessor of Computer and Information Science, University of Oregon在 cs.uoregon.edu 的电子邮件经过验证
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLIS在 cs.tu-darmstadt.de 的电子邮件经过验证
Prasad TadepalliProfessor of Computer Science, Oregon State University在 eecs.oregonstate.edu 的电子邮件经过验证
Tushar KhotAllen Institute for AI; University of Wisconsin-Madison在 allenai.org 的电子邮件经过验证

关注

Daniel Lowd

Associate Professor of Computer Science, University of Oregon

在 cs.uoregon.edu 的电子邮件经过验证 - 首页

Machine learning artificial intelligence


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Hotflip: White-box adversarial examples for text classification J Ebrahimi, A Rao, D Lowd, D Dou arXiv preprint arXiv:1712.06751, 2017	1125	2017
Adversarial learning D Lowd, C Meek Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005	1019	2005
Markov logic: An interface layer for artificial intelligence P Domingos, D Lowd Synthesis Lectures on Artificial Intelligence and Machine Learning 3 (1), 1-155, 2009	620*	2009
Naive Bayes models for probability estimation D Lowd, P Domingos Proceedings of the 22nd international conference on Machine learning, 529-536, 2005	445	2005
Good word attacks on statistical spam filters D Lowd, C Meek Proceedings of the second conference on email and anti-spam (CEAS), 125-132, 2005	406	2005
The Alchemy system for statistical relational AI S Kok, P Singla, M Richardson, P Domingos, M Sumner, H Poon, D Lowd University of Washington, Seattle, 2005	365	2005
Chapter 1. Neural-Symbolic Learning and Reasoning: A Survey and Interpretation ¹ TR Besold, A d’Avila Garcez, S Bader, H Bowman, P Domingos, P Hitzler, ... Neuro-Symbolic Artificial Intelligence: The State of the Art, 1-51, 2021	361	2021
Efficient weight learning for Markov logic networks D Lowd, P Domingos Knowledge Discovery in Databases: PKDD 2007, 200-211, 2007	321	2007
On adversarial examples for character-level neural machine translation J Ebrahimi, D Lowd, D Dou arXiv preprint arXiv:1806.09030, 2018	256	2018
Learning sum-product networks with direct and indirect variable interactions A Rooshenas, D Lowd International Conference on Machine Learning, 710-718, 2014	195	2014
Unifying logical and statistical AI P Domingos, D Lowd, S Kok, A Nath, H Poon, M Richardson, P Singla Proceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer …, 2016	166	2016
Machine unlearning for random forests J Brophy, D Lowd International Conference on Machine Learning, 1092-1104, 2021	137	2021
Learning arithmetic circuits D Lowd, P Domingos Proc. UAI 8, 383-392, 2008	121*	2008
Markov logic P Domingos, S Kok, D Lowd, H Poon, M Richardson, P Singla Probabilistic inductive logic programming, 92-117, 2008	106	2008
Learning Markov network structure with decision trees D Lowd, J Davis Data Mining (ICDM), 2010 IEEE 10th International Conference on, 334-343, 2010	105	2010
Learning to refine an automatically extracted knowledge base using markov logic S Jiang, D Lowd, D Dou 2012 IEEE 12th International Conference on Data Mining, 912-917, 2012	83	2012
Learning Markov Networks With Arithmetic Circuits D Lowd, A Rooshenas 16th International Conference on Artificial Intelligence and Statistics …, 2013	79	2013
A joint sentiment-target-stance model for stance classification in tweets J Ebrahimi, D Dou, D Lowd Proceedings of COLING 2016, the 26th international conference on …, 2016	74	2016
Weakly supervised tweet stance classification by relational bootstrapping J Ebrahimi, D Dou, D Lowd Proceedings of the 2016 conference on empirical methods in natural language …, 2016	71	2016
Just add weights: Markov logic for the semantic web P Domingos, D Lowd, S Kok, H Poon, M Richardson, P Singla Uncertainty Reasoning for the Semantic Web I: ISWC International Workshops …, 2008	53	2008

系统目前无法执行此操作，请稍后再试。

文章 1–20

每年引用数

重复的引用

合并的引用

添加合著者合著作者

上传 PDF

关注此作者

引用次数

合著作者

引用