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James Foulds
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A review of multi-instance learning assumptions
J Foulds, E Frank
The knowledge engineering review 25 (1), 1-25, 2010
4662010
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
2492019
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
2082020
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
1622015
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
1572013
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
1532015
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
1442015
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
1232015
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
1192016
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
872015
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
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
722021
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
602020
DP-EM: Differentially private expectation maximization
M Park, J Foulds, K Choudhary, M Welling
Artificial Intelligence and Statistics, 896-904, 2017
592017
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
492020
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
442017
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
432021
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
372021
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
362015
Learning instance weights in multi-instance learning
JR Foulds
The University of Waikato, 2008
352008
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Articles 1–20