James Foulds

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Rashidul IslamVisa ResearchDirección de correo verificada de visa.com
Kamrun Naher KeyaPh.D. Student, UMBCDirección de correo verificada de umbc.edu
Lise GetoorDistinguished Professor of Computer Science & Engineering, University of California, Santa CruzDirección de correo verificada de ucsc.edu
Max WellingCAIO CuspAI & Professor Machine Learning, University of AmsterdamDirección de correo verificada de uva.nl
Padhraic SmythDistinguished Professor, Computer Science, University of California IrvineDirección de correo verificada de ics.uci.edu
Eibe FrankProfessor, Department of Computer Science, University of WaikatoDirección de correo verificada de cs.waikato.ac.nz
Shobeir FakhraeiSenior Machine Learning Scientist, AmazonDirección de correo verificada de amazon.com
Mijung ParkUniversity of British ColumbiaDirección de correo verificada de cs.ubc.ca
Se Jin SongUniversity of California San DiegoDirección de correo verificada de ucsd.edu
Yoshiki Vázquez-BaezaBiomeSenseDirección de correo verificada de biomesense.com
Alexander A. AksenovUniversity of ConnecticutDirección de correo verificada de uconn.edu
Robert A QuinnAssistant Professor, Department of Biochemistry and Molecular Biology, Michigan State University,Dirección de correo verificada de msu.edu
Pieter C DorresteinUCSDDirección de correo verificada de ucsd.edu
James T. MortonDirección de correo verificada de gutzanalytics.com
Christopher DuBoisAppleDirección de correo verificada de apple.com
Bert HuangAssistant Professor, Tufts University Department of Computer ScienceDirección de correo verificada de vt.edu
Marilyn WalkerProfessor of Computer Science and Engineering, University of California Santa CruzDirección de correo verificada de ucsc.edu
Magdalini EirinakiProfessor of Computer Engineering, San Jose State UniversityDirección de correo verificada de sjsu.edu
Pigi KoukiRelational AIDirección de correo verificada de relational.ai
Yannis PapanikolaouDirección de correo verificada de csd.auth.gr

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James Foulds

University of Maryland, Baltimore County

Dirección de correo verificada de umbc.edu - Página principal

Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A review of multi-instance learning assumptions J Foulds, E Frank The knowledge engineering review 25 (1), 1-25, 2010	485	2010
Learning representations of microbe–metabolite interactions JT Morton, AA Aksenov, LF Nothias, JR Foulds, RA Quinn, MH Badri, ... Nature methods 16 (12), 1306-1314, 2019	256	2019
An intersectional definition of fairness JR Foulds, R Islam, KN Keya, S Pan 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1918-1921, 2020	240	2020
Joint models of disagreement and stance in online debate D Sridhar, J Foulds, B Huang, L Getoor, M Walker Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015	166	2015
Collective spammer detection in evolving multi-relational social networks S Fakhraei, J Foulds, M Shashanka, L Getoor Proceedings of the 21th acm sigkdd international conference on knowledge …, 2015	160	2015
Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation J Foulds, L Boyles, C DuBois, P Smyth, M Welling Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	160	2013
Hyper: A flexible and extensible probabilistic framework for hybrid recommender systems P Kouki, S Fakhraei, J Foulds, M Eirinaki, L Getoor Proceedings of the 9th ACM Conference on Recommender Systems, 99-106, 2015	150	2015
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades X He, T Rekatsinas, J Foulds, L Getoor, Y Liu ICML, 2015	125	2015
On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis J Foulds, J Geumlek, M Welling, K Chaudhuri Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence …, 2016	121	2016
Weakly supervised models of aspect-sentiment for online course discussion forums A Ramesh, SH Kumar, J Foulds, L Getoor Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015	88	2015
Debiasing career recommendations with neural fair collaborative filtering R Islam, KN Keya, Z Zeng, S Pan, J Foulds Proceedings of the Web Conference 2021, 3779-3790, 2021	81	2021
A dynamic relational infinite feature model for longitudinal social networks J Foulds, C DuBois, A Asuncion, C Butts, P Smyth Proceedings of the fourteenth international conference on artificial …, 2011	75	2011
Mitigating demographic Bias in AI-based resume filtering KV Deshpande, S Pan, JR Foulds Adjunct publication of the 28th ACM conference on user modeling, adaptation …, 2020	71	2020
DP-EM: Differentially private expectation maximization M Park, J Foulds, K Choudhary, M Welling Artificial Intelligence and Statistics, 896-904, 2017	61	2017
Data mining: practical machine learning tools and techniques (Ian H.) Witten Morgan Kaufmann, 2011	59	2011
Bayesian Modeling of Intersectional Fairness: The Variance of Bias∗ JR Foulds, R Islam, KN Keya, S Pan Proceedings of the 2020 SIAM International Conference on Data Mining, 424-432, 2020	56	2020
Fair representation learning for heterogeneous information networks Z Zeng, R Islam, KN Keya, J Foulds, Y Song, S Pan Proceedings of the International AAAI Conference on Web and Social Media 15 …, 2021	47	2021
Dense distributions from sparse samples: improved Gibbs sampling parameter estimators for LDA Y Papanikolaou, JR Foulds, TN Rubin, G Tsoumakas Journal of Machine Learning Research 18 (62), 1-58, 2017	46	2017
Comparison of patients’ and staff’s perspectives on the causes of violence and aggression in psychiatric inpatient settings: An integrative review A Fletcher, M Crowe, J Manuel, J Foulds Journal of Psychiatric and Mental Health Nursing 28 (5), 924-939, 2021	44	2021
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models J Foulds, SH Kumar, L Getoor Proceedings of The 32nd International Conference on Machine Learning, 777-786, 2015	36	2015

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