Sledovat
James Foulds
James Foulds
University of Maryland, Baltimore County
E-mailová adresa ověřena na: umbc.edu - Domovská stránka
Název
Citace
Citace
Rok
A review of multi-instance learning assumptions
J Foulds, E Frank
The knowledge engineering review 25 (1), 1-25, 2010
5022010
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
2752019
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
2692020
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
1712015
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
1582013
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
1492015
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
1262016
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
Data Mining: Practical machine learning tools and techniques
J Foulds, IH Witten, E Frank, MA Hall, CJ Pal
Elsevier, 2025
1072025
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
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
812021
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
772020
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
762011
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
622020
DP-EM: Differentially private expectation maximization
M Park, J Foulds, K Choudhary, M Welling
Artificial intelligence and statistics, 896-904, 2017
612017
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
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
482017
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
472021
Trapping LLM hallucinations using tagged context prompts
P Feldman, JR Foulds, S Pan
arXiv preprint arXiv:2306.06085, 2023
442023
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Články 1–20