Susan Gauch Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

University of Arkansas at Fayetteville

faculty

32 h-index 158 pubs 4,282 cited

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Biography and Research Information

OverviewAI-generated summary

Susan Gauch's research focuses on the application of advanced computational methods to diverse domains, including natural language processing, computer vision, and biomedical informatics. Her work has explored the development of sophisticated deep learning models, such as BERT-based architectures, for tasks like facial micro-expression recognition. She has also investigated methods for improving word embeddings, including incorporating word order information, to enhance downstream natural language processing applications. Gauch has applied these techniques to areas such as sentiment analysis for stock market prediction and the automated enrichment of consumer health vocabularies.

Her research extends to the identification and training of neural networks on biomedical datasets, indicating an interest in leveraging machine learning for health-related challenges. Collaborations with researchers at the University of Arkansas at Fayetteville, including Han-Seok Seo, Kevin Labille, and Caleb Parks, have contributed to a publication record of 158 articles, with an h-index of 32 and over 4,200 citations. Gauch is recognized as a highly cited researcher, underscoring the impact and reach of her scholarly contributions.

Metrics

  • h-index: 32
  • Publications: 158
  • Citations: 4,282

Selected Publications

  • Assessing the value of phase to deep SAR ATR via noninferiority testing (2025) DOI
  • Comparison Analyses of Consumer Acceptance, Evoked Emotions, and Purchase Intent Between Gluten‐Containing Versus Gluten‐Free Chocolate Chip Cookie Products (2025) DOI
  • Incorporating Classifier-Free Guidance in Diffusion Model-Based Recommendation (2024) DOI
  • Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis (2024) DOI
  • SetBERT: Enhancing Retrieval Performance for Boolean Logic and Set Operation Queries (2024) DOI
  • Prompt Distillation for Emotion Analysis (2024) DOI
  • Identifying and training deep learning neural networks on biomedical-related datasets (2024) DOI
  • Graph pretraining approach to utilize synthetic data for SAR ATR (2024) DOI
  • Multidimensional Fairness in Paper Recommendation (2023) DOI
  • Bridging the synthetic to measured SAR gap by splitting style and content (2023) DOI
  • WOVe: Incorporating Word Order in GloVe Word Embeddings (2022) DOI
  • Peer Review #1 of "An automated method to enrich consumer health vocabularies using GloVe word embeddings and an auxiliary lexical resource (v0.1)" (2021) DOI
  • Incorporating Fairness in Paper Recommendation (2021) DOI
  • Multidimensional Demographic Profiles for Fair Paper Recommendation (2021) DOI
  • An automated method to enrich consumer health vocabularies using GloVe word embeddings and an auxiliary lexical resource (2021) DOI

Collaborators

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