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James Foulds
James Foulds
University of Maryland, Baltimore County
Bestätigte E-Mail-Adresse bei umbc.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A review of multi-instance learning assumptions
J Foulds, E Frank
The knowledge engineering review 25 (1), 1-25, 2010
4932010
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
2662019
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
2562020
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
1682015
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
1642015
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
1602013
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
1502015
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
1252015
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
1242016
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
882015
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
822021
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
762020
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
752011
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
612020
DP-EM: Differentially private expectation maximization
M Park, J Foulds, K Choudhary, M Welling
Artificial Intelligence and Statistics, 896-904, 2017
612017
Data mining: practical machine learning tools and techniques
J Foulds, IH Witten, E Frank, MA Hall, CJ Pal
Elsevier, 2025
602025
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
492021
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
482021
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
472017
Trapping llm hallucinations using tagged context prompts
P Feldman, JR Foulds, S Pan
arXiv preprint arXiv:2306.06085, 2023
382023
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