James R. Foulds

83 papers A* 9A 13B 2C 3Journal 43Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing Online Support Group Formation Using Topic Modeling Techniques. CoRR Pronob Kumar Barman, Tera L. Reynolds, James R. Foulds
2026	J	`jnl`	Pseudo Label NCF for Sparse OHC Recommendation: Dual Representation Learning and the Separability Accuracy Trade off. CoRR Pronob Kumar Barman, Tera L. Reynolds, James R. Foulds
2026	J	`jnl`	Understanding User Perceptions of Human-centered AI-Enhanced Support Group Formation in Online Healthcare Communities. CoRR Pronob Kumar Barman, James R. Foulds, Tera L. Reynolds
2025	J	`jnl`	A Unifying Human-Centered AI Fairness Framework. CoRR Munshi Mahbubur Rahman, Shimei Pan, James R. Foulds
2025	J	`jnl`	Can Generative AI be Egalitarian? CoRR Philip Feldman, James R. Foulds, Shimei Pan
2025	—	`conf`	Facilitating Online Healthcare Support Group Formation Using Topic Modeling. MedInfo Pronob Kumar Barman, Tera L. Reynolds, James R. Foulds
2025	—	`conf`	GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models. ACL (1) Tao Zhang, Ziqian Zeng, YuxiangXiao YuxiangXiao, Huiping Zhuang, Cen Chen, James R. Foulds, Shimei Pan
2025	J	`jnl`	LLM-based Corroborating and Refuting Evidence Retrieval for Scientific Claim Verification. CoRR Siyuan Wang, James R. Foulds, Md. Osman Gani, Shimei Pan
2025	J	`jnl`	You've Changed: Detecting Modification of Black-Box Large Language Models. CoRR Alden Dima, James R. Foulds, Shimei Pan, Philip Feldman
2024	J	`jnl`	ALDAS: Audio-Linguistic Data Augmentation for Spoofed Audio Detection. CoRR Zahra Khanjani, Christine Mallinson, James R. Foulds, Vandana P. Janeja
2024	B	`conf`	DoubleDistillation: Enhancing LLMs for Informal Text Analysis using Multistage Knowledge Distillation from Speech and Text. ICMI Fatema Hasan, Yulong Li, James R. Foulds, Shimei Pan, Bishwaranjan Bhattacharjee
2024	—	`conf`	Fair Inference for Discrete Latent Variable Models: An Intersectional Approach. GoodIT Rashidul Islam, Shimei Pan, James R. Foulds
2024	J	`jnl`	GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models. CoRR Tao Zhang, Ziqian Zeng, Yuxiang Xiao, Huiping Zhuang, Cen Chen, James R. Foulds, Shimei Pan
2024	—	`conf`	Killer Apps: Low-Speed, Large-Scale AI Weapons. IUI Workshops Philip Feldman, Aaron Dant, James R. Foulds
2024	J	`jnl`	Killer Apps: Low-Speed, Large-Scale AI Weapons. CoRR Philip Feldman, Aaron Dant, James R. Foulds
2024	J	`jnl`	RAGged Edges: The Double-Edged Sword of Retrieval-Augmented Chatbots. CoRR Philip Feldman, James R. Foulds, Shimei Pan
2024	—	`conf`	Towards A Unifying Human-Centered AI Fairness Framework. GoodIT Munshi Mahbubur Rahman, Shimei Pan, James R. Foulds
2023	J	`jnl`	Differential Fairness: An Intersectional Framework for Fair AI. Entropy Rashidul Islam, Kamrun Naher Keya, Shimei Pan, Anand D. Sarwate, James R. Foulds
2023	C	`conf`	Flood-ResNet50: Optimized Deep Learning Model for Efficient Flood Detection on Edge Device. ICMLA Md. Azim Khan, Nadeem Ahmed, Joyce Padela, Muhammad Shehrose Raza, Aryya Gangopadhyay, Jianwu Wang, James R. Foulds, Carl E. Busart, Robert F. Erbacher
2023	J	`jnl`	Teach me with a Whisper: Enhancing Large Language Models for Analyzing Spoken Transcripts using Speech Embeddings. CoRR Fatema Hasan, Yulong Li, James R. Foulds, Shimei Pan, Bishwaranjan Bhattacharjee
2023	—	`conf`	The Keyword Explorer Suite: A Toolkit for Understanding Online Populations. IUI Companion Philip Feldman, Shimei Pan, James R. Foulds
2023	J	`jnl`	The Keyword Explorer Suite: A Toolkit for Understanding Online Populations. CoRR Philip Feldman, Shimei Pan, James R. Foulds
2023	J	`jnl`	Trapping LLM Hallucinations Using Tagged Context Prompts. CoRR Philip Feldman, James R. Foulds, Shimei Pan
2023	J	`jnl`	When Biased Humans Meet Debiased AI: A Case Study in College Major Recommendation. ACM Trans. Interact. Intell. Syst. Clarice Wang, Kathryn Wang, Andrew Bian, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Shimei Pan
2022	C	`conf`	Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice Forecasting. IGARSS Sahara Ali, Seraj Al Mahmud Mostafa, Xingyan Li, Sara Khanjani, Jianwu Wang, James R. Foulds, Vandana P. Janeja
2022	A	`conf`	Do Humans Prefer Debiased AI Algorithms? A Case Study in Career Recommendation. IUI Clarice Wang, Kathryn Wang, Andrew Bian, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Shimei Pan
2022	J	`jnl`	Fair Inference for Discrete Latent Variable Models. CoRR Rashidul Islam, Shimei Pan, James R. Foulds
2022	J	`jnl`	Neural Embedding Allocation: Distributed Representations of Topic Models. Comput. Linguistics Kamrun Naher Keya, Yannis Papanikolaou, James R. Foulds
2022	J	`jnl`	Polling Latent Opinions: A Method for Computational Sociolinguistics Using Transformer Language Models. CoRR Philip Feldman, Aaron Dant, James R. Foulds, Shimei Pan
2022	J	`jnl`	Tell Me Something That Will Help Me Trust You: A Survey of Trust Calibration in Human-Agent Interaction. CoRR George J. Cancro, Shimei Pan, James R. Foulds
2021	—	`conf`	Analyzing COVID-19 Tweets with Transformer-based Language Models. ICWSM Workshops Philip Feldman, Sim Tiwari, Charissa S. L. Cheah, James R. Foulds, Shimei Pan
2021	J	`jnl`	Analyzing COVID-19 Tweets with Transformer-based Language Models. CoRR Philip Feldman, Sim Tiwari, Charissa S. L. Cheah, James R. Foulds, Shimei Pan
2021	J	`jnl`	Bias: Friend or Foe? User Acceptance of Gender Stereotypes in Automated Career Recommendations. CoRR Clarice Wang, Kathryn Wang, Andrew Bian, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Shimei Pan
2021	C	`conf`	Can We Obtain Fairness For Free? AIES Rashidul Islam, Shimei Pan, James R. Foulds
2021	A*	`conf`	Debiasing Career Recommendations with Neural Fair Collaborative Filtering. WWW Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, James R. Foulds
2021	A	`conf`	Equitable Allocation of Healthcare Resources with Fair Survival Models. SDM Kamrun Naher Keya, Rashidul Islam, Shimei Pan, Ian Stockwell, James R. Foulds
2021	A	`conf`	Fair Representation Learning for Heterogeneous Information Networks. ICWSM Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Yangqiu Song, Shimei Pan
2021	J	`jnl`	Fair Representation Learning for Heterogeneous Information Networks. CoRR Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Yangqiu Song, Shimei Pan
2021	J	`jnl`	Learning User Embeddings from Temporal Social Media Data: A Survey. CoRR Fatema Hasan, Kevin S. Xu, James R. Foulds, Shimei Pan
2021	J	`jnl`	Letter from the Special Issue Editor. IEEE Data Eng. Bull. Shimei Pan, James R. Foulds
2020	A*	`conf`	An Intersectional Definition of Fairness. ICDE James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan
2020	J	`jnl`	Are Parity-Based Notions of AI Fairness Desirable? IEEE Data Eng. Bull. James R. Foulds, Shimei Pan
2020	A	`conf`	Bayesian Modeling of Intersectional Fairness: The Variance of Bias. SDM James R. Foulds, Rashidul Islam, Kamrun Naher Keya, Shimei Pan
2020	J	`jnl`	Causal Feature Selection with Dimension Reduction for Interpretable Text Classification. CoRR Guohou Shan, James R. Foulds, Shimei Pan
2020	J	`jnl`	Equitable Allocation of Healthcare Resources with Fair Cox Models. CoRR Kamrun Naher Keya, Rashidul Islam, Shimei Pan, Ian Stockwell, James R. Foulds
2020	J	`jnl`	Letter from the Special Issue Editor. IEEE Data Eng. Bull. James R. Foulds, Shimei Pan
2020	—	`conf`	Mitigating Demographic Bias in AI-based Resume Filtering. UMAP (Adjunct Publication) Ketki V. Deshpande, Shimei Pan, James R. Foulds
2020	J	`jnl`	Neural Fair Collaborative Filtering. CoRR Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, James R. Foulds
2020	J	`jnl`	Variational Bayes In Private Settings (VIPS). J. Artif. Intell. Res. Mijung Park, James R. Foulds, Kamalika Chaudhuri, Max Welling
2020	A*	`conf`	Variational Bayes in Private Settings (VIPS) (Extended Abstract). IJCAI James R. Foulds, Mijung Park, Kamalika Chaudhuri, Max Welling
2019	—	`conf`	A Bayesian Data Analytics Approach to Buildings' Thermal Parameter Estimation. e-Energy Nilavra Pathak, James R. Foulds, Nirmalya Roy, Nilanjan Banerjee, Ryan W. Robucci
2019	J	`jnl`	Estimating Buildings' Parameters over Time Including Prior Knowledge. CoRR Nilavra Pathak, James R. Foulds, Nirmalya Roy, Nilanjan Banerjee, Ryan W. Robucci
2019	J	`jnl`	Neural Embedding Allocation: Distributed Representations of Topic Models. CoRR Kamrun Naher Keya, Yannis Papanikolaou, James R. Foulds
2019	—	`conf`	Scalable Collapsed Inference for High-Dimensional Topic Models. NAACL-HLT (1) Rashidul Islam, James R. Foulds
2018	J	`jnl`	An Intersectional Definition of Fairness. CoRR James R. Foulds, Shimei Pan
2018	J	`jnl`	Bayesian Modeling of Intersectional Fairness: The Variance of Bias. CoRR James R. Foulds, Rashidul Islam, Kamrun Keya, Shimei Pan
2018	A	`conf`	Mixed Membership Word Embeddings for Computational Social Science. AISTATS James R. Foulds
2017	A	`conf`	DP-EM: Differentially Private Expectation Maximization. AISTATS Mijung Park, James R. Foulds, Kamalika Choudhary, Max Welling
2017	J	`jnl`	Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA. J. Mach. Learn. Res. Yannis Papanikolaou, James R. Foulds, Timothy N. Rubin, Grigorios Tsoumakas
2017	J	`jnl`	Mixed Membership Word Embeddings for Computational Social Science. CoRR James R. Foulds
2016	A	`conf`	On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis. UAI James R. Foulds, Joseph Geumlek, Max Welling, Kamalika Chaudhuri
2016	J	`jnl`	On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis. CoRR James R. Foulds, Joseph Geumlek, Max Welling, Kamalika Chaudhuri
2016	J	`jnl`	Private Topic Modeling. CoRR Mijung Park, James R. Foulds, Kamalika Chaudhuri, Max Welling
2016	J	`jnl`	Variational Bayes In Private Settings (VIPS). CoRR Mijung Park, James R. Foulds, Kamalika Chaudhuri, Max Welling
2015	A*	`conf`	Collective Spammer Detection in Evolving Multi-Relational Social Networks. KDD Shobeir Fakhraei, James R. Foulds, Madhusudana V. S. Shashanka, Lise Getoor
2015	A*	`conf`	HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades. ICML Xinran He, Theodoros Rekatsinas, James R. Foulds, Lise Getoor, Yan Liu
2015	A	`conf`	HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems. RecSys Pigi Kouki, Shobeir Fakhraei, James R. Foulds, Magdalini Eirinaki, Lise Getoor
2015	—	`conf`	Joint Models of Disagreement and Stance in Online Debate. ACL (1) Dhanya Sridhar, James R. Foulds, Bert Huang, Lise Getoor, Marilyn A. Walker
2015	A*	`conf`	Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models. ICML James R. Foulds, Shachi H. Kumar, Lise Getoor
2015	A*	`conf`	RELLY: Inferring Hypernym Relationships Between Relational Phrases. EMNLP Adam Grycner, Gerhard Weikum, Jay Pujara, James R. Foulds, Lise Getoor
2015	—	`conf`	Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums. ACL (1) Arti Ramesh, Shachi H. Kumar, James R. Foulds, Lise Getoor
2014	A	`conf`	Annealing Paths for the Evaluation of Topic Models. UAI James R. Foulds, Padhraic Smyth
2013	A*	`conf`	Modeling Scientific Impact with Topical Influence Regression. EMNLP James R. Foulds, Padhraic Smyth
2013	J	`jnl`	Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation CoRR James R. Foulds, Levi Boyles, Christopher DuBois, Padhraic Smyth, Max Welling
2013	A*	`conf`	Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation. KDD James R. Foulds, Levi Boyles, Christopher DuBois, Padhraic Smyth, Max Welling
2011	A	`conf`	A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks. AISTATS James R. Foulds, Christopher DuBois, Arthur U. Asuncion, Carter T. Butts, Padhraic Smyth
2011	A	`conf`	Latent Set Models for Two-Mode Network Data. ICWSM Christopher DuBois, James R. Foulds, Padhraic Smyth
2011	A	`conf`	Multi-Instance Mixture Models. SDM James R. Foulds, Padhraic Smyth
2011	A	`conf`	Revisiting MAP Estimation, Message Passing and Perfect Graphs. AISTATS James R. Foulds, Nicholas Navaroli, Padhraic Smyth, Alexander Ihler
2010	J	`jnl`	A review of multi-instance learning assumptions. Knowl. Eng. Rev. James R. Foulds, Eibe Frank
2010	B	`conf`	Speeding Up and Boosting Diverse Density Learning. Discovery Science James R. Foulds, Eibe Frank
2008	—	`conf`	Revisiting Multiple-Instance Learning Via Embedded Instance Selection. Australasian Conference on Artificial Intelligence James R. Foulds, Eibe Frank
2006	J	`jnl`	Bridge Lane Direction Specification for Sustainable Traffic Management. Asia Pac. J. Oper. Res. James R. Foulds, Les R. Foulds