James Foulds

About James Foulds

James Foulds, With an exceptional h-index of 22 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Maryland, Baltimore County, specializes in the field of Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Killer Apps: Low-Speed, Large-Scale AI Weapons

Flood-ResNet50: Optimized Deep Learning Model for Efficient Flood Detection on Edge Device

Teach me with a Whisper: Enhancing Large Language Models for Analyzing Spoken Transcripts using Speech Embeddings

When Biased Humans Meet Debiased AI: A Case Study in College Major Recommendation

Trapping llm hallucinations using tagged context prompts

Differential fairness: an intersectional framework for fair AI

The Keyword Explorer Suite: A Toolkit for Understanding Online Populations

Neural embedding allocation: Distributed representations of topic models

James Foulds Information

University

Position

___

Citations(all)

2578

Citations(since 2020)

1721

Cited By

1526

hIndex(all)

22

hIndex(since 2020)

20

i10Index(all)

37

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

James Foulds Skills & Research Interests

Machine Learning

Top articles of James Foulds

Killer Apps: Low-Speed, Large-Scale AI Weapons

arXiv preprint arXiv:2402.01663

2024/1/14

Flood-ResNet50: Optimized Deep Learning Model for Efficient Flood Detection on Edge Device

2023/12/15

Teach me with a Whisper: Enhancing Large Language Models for Analyzing Spoken Transcripts using Speech Embeddings

arXiv preprint arXiv:2311.07014

2023/11/13

Yulong Li
Yulong Li

H-Index: 18

James Foulds
James Foulds

H-Index: 16

When Biased Humans Meet Debiased AI: A Case Study in College Major Recommendation

ACM Transactions on Interactive Intelligent Systems

2023/9/11

Trapping llm hallucinations using tagged context prompts

arXiv preprint arXiv:2306.06085

2023/6/9

Differential fairness: an intersectional framework for fair AI

Entropy

2023/4/14

The Keyword Explorer Suite: A Toolkit for Understanding Online Populations

2023/3/27

James Foulds
James Foulds

H-Index: 16

Neural embedding allocation: Distributed representations of topic models

Computational Linguistics

2022/12/1

Fair Inference for Discrete Latent Variable Models

arXiv preprint arXiv:2209.07044

2022/9/15

Benchmarking probabilistic machine learning models for arctic sea ice forecasting

2022/7/17

Tell me something that will help me trust you: A survey of trust calibration in human-agent interaction

arXiv preprint arXiv:2205.02987

2022/5/6

James Foulds
James Foulds

H-Index: 16

Polling Latent Opinions: A Method for Computational Sociolinguistics Using Transformer Language Models

arXiv preprint arXiv:2204.07483

2022/4/15

Do humans prefer debiased ai algorithms? a case study in career recommendation

2022/3/22

Comparison of patients’ and staff’s perspectives on the causes of violence and aggression in psychiatric inpatient settings: An integrative review

2021/10

James Foulds
James Foulds

H-Index: 16

Can we obtain fairness for free?

2021/7/21

User acceptance of gender stereotypes in automated career recommendations

arXiv preprint arXiv:2106.07112

2021/6/13

Fair representation learning for heterogeneous information networks

Proceedings of the International AAAI Conference on Web and Social Media

2021/5/22

Learning user embeddings from temporal social media data: A survey

arXiv preprint arXiv:2105.07996

2021/5/17

Analyzing COVID-19 tweets with transformer-based language models

arXiv preprint arXiv:2104.10259

2021/4/20

Debiasing career recommendations with neural fair collaborative filtering

2021/4/19

See List of Professors in James Foulds University(University of Maryland, Baltimore County)

Co-Authors

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