Bridge Lane Direction Specification for Sustainable Traffic Management. - James R. Foulds; Les R. Foulds (Asia Pac. J. Oper. Res., 2006)

Revisiting Multiple-Instance Learning Via Embedded Instance Selection. - James R. Foulds; Eibe Frank (Australasian Conference on Artificial Intelligence, 2008)

Speeding Up and Boosting Diverse Density Learning. - James R. Foulds; Eibe Frank (Discovery Science, 2010)

A review of multi-instance learning assumptions. - James R. Foulds; Eibe Frank (Knowl. Eng. Rev., 2010)

Latent Set Models for Two-Mode Network Data. - Christopher DuBois; James R. Foulds; Padhraic Smyth (ICWSM, 2011)

Multi-Instance Mixture Models. - James R. Foulds; Padhraic Smyth (SDM, 2011)

A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks. - James R. Foulds; Christopher DuBois; Arthur U. Asuncion; Carter T. Butts; Padhraic Smyth (AISTATS, 2011)

Revisiting MAP Estimation, Message Passing and Perfect Graphs. - James R. Foulds; Nicholas Navaroli; Padhraic Smyth; Alexander Ihler (AISTATS, 2011)

Modeling Scientific Impact with Topical Influence Regression. - James R. Foulds; Padhraic Smyth (EMNLP, 2013)

Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation. - James R. Foulds; Levi Boyles; Christopher DuBois; Padhraic Smyth; Max Welling (KDD, 2013)

Annealing Paths for the Evaluation of Topic Models. - James R. Foulds; Padhraic Smyth (UAI, 2014)

Latent Variable Modeling for Networks and Text: Algorithms, Models and Evaluation Techniques. - James Richard Foulds (2014)

Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums. - Arti Ramesh; Shachi H. Kumar; James R. Foulds; Lise Getoor (ACL (1), 2015)

Joint Models of Disagreement and Stance in Online Debate. - Dhanya Sridhar; James R. Foulds; Bert Huang; Lise Getoor; Marilyn A. Walker (ACL (1), 2015)

RELLY: Inferring Hypernym Relationships Between Relational Phrases. - Adam Grycner; Gerhard Weikum; Jay Pujara; James R. Foulds; Lise Getoor (EMNLP, 2015)

Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models. - James R. Foulds; Shachi H. Kumar; Lise Getoor (ICML, 2015)

HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades. - Xinran He; Theodoros Rekatsinas; James R. Foulds; Lise Getoor; Yan Liu 002 (ICML, 2015)

Collective Spammer Detection in Evolving Multi-Relational Social Networks. - Shobeir Fakhraei; James R. Foulds; Madhusudana V. S. Shashanka; Lise Getoor (KDD, 2015)

HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems. - Pigi Kouki; Shobeir Fakhraei; James R. Foulds; Magdalini Eirinaki; Lise Getoor (RecSys, 2015)

On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis. - James R. Foulds; Joseph Geumlek; Max Welling; Kamalika Chaudhuri (UAI, 2016)

Practical Privacy For Expectation Maximization. - Mijung Park; Jimmy Foulds; Kamalika Chaudhuri; Max Welling (CoRR, 2016)

Private Topic Modeling. - Mijung Park; James R. Foulds; Kamalika Chaudhuri; Max Welling (CoRR, 2016)

DP-EM: Differentially Private Expectation Maximization. - Mijung Park; James R. Foulds; Kamalika Choudhary; Max Welling (AISTATS, 2017)

Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA. - Yannis Papanikolaou; James R. Foulds; Timothy N. Rubin; Grigorios Tsoumakas (J. Mach. Learn. Res., 2017)

Mixed Membership Word Embeddings for Computational Social Science. - James R. Foulds (AISTATS, 2018)

An Intersectional Definition of Fairness. - James R. Foulds; Shimei Pan (CoRR, 2018)

A Bayesian Data Analytics Approach to Buildings' Thermal Parameter Estimation. - Nilavra Pathak; James R. Foulds; Nirmalya Roy; Nilanjan Banerjee; Ryan W. Robucci (e-Energy, 2019)

Scalable Collapsed Inference for High-Dimensional Topic Models. - Rashidul Islam; James R. Foulds (NAACL-HLT (1), 2019)

Estimating Buildings' Parameters over Time Including Prior Knowledge. - Nilavra Pathak; James R. Foulds; Nirmalya Roy; Nilanjan Banerjee; Ryan W. Robucci (CoRR, 2019)

An Intersectional Definition of Fairness. - James R. Foulds; Rashidul Islam; Kamrun Naher Keya; Shimei Pan (ICDE, 2020)

Variational Bayes in Private Settings (VIPS) (Extended Abstract). - James R. Foulds; Mijung Park; Kamalika Chaudhuri; Max Welling (IJCAI, 2020)

Bayesian Modeling of Intersectional Fairness: The Variance of Bias. - James R. Foulds; Rashidul Islam; Kamrun Naher Keya; Shimei Pan (SDM, 2020)

Mitigating Demographic Bias in AI-based Resume Filtering. - Ketki V. Deshpande; Shimei Pan; James R. Foulds (UMAP (Adjunct Publication), 2020)

Neural Fair Collaborative Filtering. - Rashidul Islam; Kamrun Naher Keya; Ziqian Zeng; Shimei Pan; James R. Foulds (CoRR, 2020)

Causal Feature Selection with Dimension Reduction for Interpretable Text Classification. - Guohou Shan; James R. Foulds; Shimei Pan (CoRR, 2020)

Equitable Allocation of Healthcare Resources with Fair Cox Models. - Kamrun Naher Keya; Rashidul Islam; Shimei Pan; Ian Stockwell; James R. Foulds (CoRR, 2020)

Are Parity-Based Notions of AI Fairness Desirable? - James R. Foulds; Shimei Pan (IEEE Data Eng. Bull., 2020)

Variational Bayes In Private Settings (VIPS). - Mijung Park; James R. Foulds; Kamalika Chaudhuri; Max Welling (J. Artif. Intell. Res., 2020)

Can We Obtain Fairness For Free? - Rashidul Islam; Shimei Pan; James R. Foulds (AIES, 2021)

Analyzing COVID-19 Tweets with Transformer-based Language Models. - Philip Feldman; Sim Tiwari; Charissa S. L. Cheah; James R. Foulds; Shimei Pan (ICWSM Workshops, 2021)

Fair Representation Learning for Heterogeneous Information Networks. - Ziqian Zeng; Rashidul Islam; Kamrun Naher Keya; James R. Foulds; Yangqiu Song; Shimei Pan (ICWSM, 2021)

Equitable Allocation of Healthcare Resources with Fair Survival Models. - Kamrun Naher Keya; Rashidul Islam; Shimei Pan; Ian Stockwell; James R. Foulds (SDM, 2021)

Debiasing Career Recommendations with Neural Fair Collaborative Filtering. - Rashidul Islam; Kamrun Naher Keya; Ziqian Zeng; Shimei Pan; James R. Foulds (WWW, 2021)

Learning User Embeddings from Temporal Social Media Data: A Survey. - Fatema Hasan; Kevin S. Xu 001; James R. Foulds; Shimei Pan (CoRR, 2021)

Bias: Friend or Foe? User Acceptance of Gender Stereotypes in Automated Career Recommendations. - Clarice Wang; Kathryn Wang; Andrew Bian; Rashidul Islam; Kamrun Naher Keya; James R. Foulds; Shimei Pan (CoRR, 2021)

Letter from the Special Issue Editor. - Shimei Pan; James R. Foulds (IEEE Data Eng. Bull., 2021)

Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice Forecasting. - Sahara Ali; Seraj Al Mahmud Mostafa; Xingyan Li; Sara Khanjani; Jianwu Wang 001; James R. Foulds; Vandana P. Janeja (IGARSS, 2022)

Do Humans Prefer Debiased AI Algorithms? A Case Study in Career Recommendation. - Clarice Wang; Kathryn Wang; Andrew Bian; Rashidul Islam; Kamrun Naher Keya; James R. Foulds; Shimei Pan (IUI, 2022)

Neural Embedding Allocation: Distributed Representations of Topic Models. - Kamrun Naher Keya; Yannis Papanikolaou; James R. Foulds (Comput. Linguistics, 2022)

Polling Latent Opinions: A Method for Computational Sociolinguistics Using Transformer Language Models. - Philip Feldman; Aaron Dant; James R. Foulds; Shimei Pan (CoRR, 2022)

Tell Me Something That Will Help Me Trust You: A Survey of Trust Calibration in Human-Agent Interaction. - George J. Cancro; Shimei Pan; James R. Foulds (CoRR, 2022)

Fair Inference for Discrete Latent Variable Models. - Rashidul Islam; Shimei Pan; James R. Foulds (CoRR, 2022)

Flood-ResNet50: Optimized Deep Learning Model for Efficient Flood Detection on Edge Device. - Md. Azim Khan; Nadeem Ahmed; Joyce Padela; Muhammad Shehrose Raza; Aryya Gangopadhyay; Jianwu Wang 001; James R. Foulds; Carl E. Busart; Robert F. Erbacher (ICMLA, 2023)

The Keyword Explorer Suite: A Toolkit for Understanding Online Populations. - Philip Feldman; Shimei Pan; James R. Foulds (IUI Companion, 2023)

Trapping LLM Hallucinations Using Tagged Context Prompts. - Philip Feldman; James R. Foulds; Shimei Pan (CoRR, 2023)

Teach me with a Whisper: Enhancing Large Language Models for Analyzing Spoken Transcripts using Speech Embeddings. - Fatema Hasan; Yulong Li; James R. Foulds; Shimei Pan; Bishwaranjan Bhattacharjee (CoRR, 2023)

Differential Fairness: An Intersectional Framework for Fair AI. - Rashidul Islam; Kamrun Naher Keya; Shimei Pan; Anand D. Sarwate; James R. Foulds (Entropy, 2023)

When Biased Humans Meet Debiased AI: A Case Study in College Major Recommendation. - Clarice Wang; Kathryn Wang; Andrew Bian; Rashidul Islam; Kamrun Naher Keya; James R. Foulds; Shimei Pan (ACM Trans. Interact. Intell. Syst., 2023)

Fair Inference for Discrete Latent Variable Models: An Intersectional Approach. - Rashidul Islam; Shimei Pan; James R. Foulds (GoodIT, 2024)

Towards A Unifying Human-Centered AI Fairness Framework. - Munshi Mahbubur Rahman; Shimei Pan; James R. Foulds (GoodIT, 2024)

DoubleDistillation: Enhancing LLMs for Informal Text Analysis using Multistage Knowledge Distillation from Speech and Text. - Fatema Hasan; Yulong Li; James R. Foulds; Shimei Pan; Bishwaranjan Bhattacharjee (ICMI, 2024)

Killer Apps: Low-Speed, Large-Scale AI Weapons. - Philip Feldman; Aaron Dant; James R. Foulds (IUI Workshops, 2024)

RAGged Edges: The Double-Edged Sword of Retrieval-Augmented Chatbots. - Philip Feldman; James R. Foulds; Shimei Pan (CoRR, 2024)

GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models. - Tao Zhang 019; Ziqian Zeng; Yuxiang Xiao; Huiping Zhuang; Cen Chen 002; James R. Foulds; Shimei Pan (CoRR, 2024)

ALDAS: Audio-Linguistic Data Augmentation for Spoofed Audio Detection. - Zahra Khanjani; Christine Mallinson; James R. Foulds; Vandana P. Janeja (CoRR, 2024)

GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models. - Tao Zhang 019; Ziqian Zeng; YuxiangXiao YuxiangXiao; Huiping Zhuang; Cen Chen 002; James R. Foulds; Shimei Pan (ACL (1), 2025)

Can Generative AI be Egalitarian? - Philip Feldman; James R. Foulds; Shimei Pan (CoRR, 2025)

LLM-based Corroborating and Refuting Evidence Retrieval for Scientific Claim Verification. - Siyuan Wang; James R. Foulds; Md. Osman Gani; Shimei Pan (CoRR, 2025)

You've Changed: Detecting Modification of Black-Box Large Language Models. - Alden Dima; James R. Foulds; Shimei Pan; Philip Feldman (CoRR, 2025)