Daniel Lowd

Cited by

	All	Since 2016
Citations	4116	2218
h-index	23	22
i10-index	35	30

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200620072008200920102011201220132014201520162017201820192020202136 60 125 139 182 234 226 207 299 343 382 368 415 485 555 8

Co-authors

Pedro DomingosProfessor of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Dejing DouProfessor (on leave), University of Oregon/Head of BDL and BIL, Baidu ResearchVerified email at cs.uoregon.edu
Hoifung PoonSenior Director, Biomedical NLP, Microsoft ResearchVerified email at microsoft.com
Matthew RichardsonMicrosoft ResearchVerified email at microsoft.com
Parag SinglaIndian Institute of Technology DelhiVerified email at cse.iitd.ac.in
Stanley KokNational University of SingaporeVerified email at nus.edu.sg
Pedram RooshenasUNC CharlotteVerified email at uncc.edu
Javid EbrahimiVisa ResearchVerified email at cs.uoregon.edu
Christopher MeekPrinciple Researcher, Microsoft ResearchVerified email at microsoft.com
Aniruddh NathGoogle, LLCVerified email at google.com
MohamadAli TorkamaniUniversity of Oregon, Cambia Health Solutions, Amazon Web ServicesVerified email at amazon.com
Anyi RaoThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Jesse DavisProfessor, Department of Computer Science, KU LeuvenVerified email at cs.kuleuven.be
Kristian KerstingProfessor of Artificial Intelligence and Machine Learning, hessian.ai, TU DarmstadtVerified email at cs.tu-darmstadt.de
Sriraam NatarajanUniversity of Texas at DallasVerified email at utdallas.edu
Adam BatesAssistant Professor, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Prasad TadepalliProfessor of Computer Science, Oregon State UniversityVerified email at eecs.oregonstate.edu
Tushar KhotAllen Institute for AI; University of Wisconsin-MadisonVerified email at cs.wisc.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinVerified email at cs.wisc.edu

Daniel Lowd

Associate Professor of Computer Science, University of Oregon

Verified email at cs.uoregon.edu - Homepage

Machine learning artificial intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Adversarial learning D Lowd, C Meek Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005	649	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	555	2009
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	347	2005
Naive Bayes models for probability estimation D Lowd, P Domingos Proceedings of the 22nd international conference on Machine learning, 529-536, 2005	333	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	302	2005
Efficient weight learning for Markov logic networks D Lowd, P Domingos Knowledge Discovery in Databases: PKDD 2007, 200-211, 2007	281	2007
Hotflip: White-box adversarial examples for text classification J Ebrahimi, A Rao, D Lowd, D Dou arXiv preprint arXiv:1712.06751, 2017	278	2017
Unifying logical and statistical AI P Domingos, D Lowd, S Kok, A Nath, H Poon, M Richardson, P Singla 2016 31st Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 1-11, 2016	147	2016
Learning sum-product networks with direct and indirect variable interactions A Rooshenas, D Lowd International Conference on Machine Learning, 710-718, 2014	136	2014
Markov logic P Domingos, S Kok, D Lowd, H Poon, M Richardson, P Singla Probabilistic inductive logic programming, 92-117, 2008	129*	2008
Learning arithmetic circuits D Lowd, P Domingos Proc. UAI 8, 383-392, 2008	91*	2008
Neural-symbolic learning and reasoning: A survey and interpretation TR Besold, AA Garcez, S Bader, H Bowman, P Domingos, P Hitzler, ... arXiv preprint arXiv:1711.03902, 2017	86	2017
Learning Markov network structure with decision trees D Lowd, J Davis Data Mining (ICDM), 2010 IEEE 10th International Conference on, 334-343, 2010	75	2010
Learning Markov Networks With Arithmetic Circuits D Lowd, A Rooshenas 16th International Conference on Artificial Intelligence and Statistics …, 2013	66	2013
On adversarial examples for character-level neural machine translation J Ebrahimi, D Lowd, D Dou arXiv preprint arXiv:1806.09030, 2018	63	2018
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	62	2012
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	52	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, 1-25, 2006	52	2006
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	36	2016
Improving Markov network structure learning using decision trees D Lowd, J Davis The Journal of Machine Learning Research 15 (1), 501-532, 2014	35	2014

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