Temporal Dietary Patterns Using Kernel k-Means Clustering. - Nitin Khanna; Heather A. Eicher-Miller; Carol J. Boushey; Saul B. Gelfand; Edward J. Delp (ISM, 2011)

Applied Visual Analytics for Exploring the National Health and Nutrition Examination Survey. - Silvia Oliveros Torres; Heather A. Eicher-Miller; Carol J. Boushey; David S. Ebert; Ross Maciejewski (HICSS, 2012)

Modified dynamic time warping (MDTW) for estimating temporal dietary patterns. - Nitin Khanna; Heather A. Eicher-Miller; Hemant K. Verma; Carol J. Boushey; Saul B. Gelfand; Edward J. Delp (GlobalSIP, 2017)

Improving Dietary Assessment Via Integrated Hierarchy Food Classification. - Runyu Mao; Jiangpeng He; Luotao Lin; Zeman Shao; Heather A. Eicher-Miller; Fengqing Zhu 001 (MMSP, 2021)

Towards the creation of a nutrition and food group based image database. - Zeman Shao; Jiangpeng He; Ya-Yuan Yu; Luotao Lin; Alexandra Cowan; Heather A. Eicher-Miller; Fengqing Zhu 001 (Imaging and Multimedia Analytics at the Edge, 2022)

Long-tailed Food Classification. - Jiangpeng He; Luotao Lin; Heather A. Eicher-Miller; Fengqing Zhu 001 (CoRR, 2022)

Understanding Food Planning Strategies of Food Insecure Populations: Implications for Food-Agentic Technologies. - Tawanna R. Dillahunt; Michelle Sawwan; Danielle M. Wood; Brianna L. Wimer; Ann-Marie Conrado; Heather A. Eicher-Miller; Alisa Zornig Gura; Ronald A. Metoyer (CHI, 2023)

Joint Temporal Patterns By Integrating Diet and Physical Activity. - Jiaqi Guo; Luotao Lin; Marah M. Aqeel; Saul B. Gelfand; Heather A. Eicher-Miller; Anindya Bhadra; Erin Hennessy; Elizabeth A. Richards; Edward J. Delp (ICDH, 2023)

Cluster Analysis to Find Temporal Physical Activity Patterns Among US Adults. - Jiaqi Guo; Marah M. Aqeel; Luotao Lin; Saul B. Gelfand; Heather A. Eicher-Miller; Anindya Bhadra; Erin Hennessy; Elizabeth A. Richards; Edward J. Delp (ICHI, 2023)

Long-Tailed Continual Learning For Visual Food Recognition. - Jiangpeng He; Luotao Lin; Jack Ma; Heather A. Eicher-Miller; Fengqing Zhu 001 (CoRR, 2023)

Integrating Expertise in LLMs: Crafting a Customized Nutrition Assistant with Refined Template Instructions. - Annalisa Szymanski; Brianna L. Wimer; Oghenemaro Anuyah; Heather A. Eicher-Miller; Ronald A. Metoyer (CHI, 2024)

Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor. - Yuning Huang; M. A Hassan; Jiangpeng He; Janine A. Higgins; Megan A. McCrory; Heather A. Eicher-Miller; J. Graham Thomas; Edward Sazonov; Fengqing Zhu 001 (CVPR Workshops, 2024)

Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor. - Yuning Huang; Mohamed Abul Hassan; Jiangpeng He; Janine A. Higgins; Megan A. McCrory; Heather A. Eicher-Miller; John Graham Thomas; Edward Sazonov; Fengqing Maggie Zhu (CoRR, 2024)

A community focused approach toward making healthy and affordable daily diet recommendations. - Joe Germino; Annalisa Szymanski; Heather A. Eicher-Miller; Ronald A. Metoyer; Nitesh V. Chawla (Frontiers Big Data, 2024)

Corrigendum: A community focused approach toward making healthy and affordable daily diet recommendations. - Joe Germino; Annalisa Szymanski; Heather A. Eicher-Miller; Ronald A. Metoyer; Nitesh V. Chawla (Frontiers Big Data, 2024)

Extra-Lightweight AI-Based Privacy Preserving Framework for Egocentric Wearable Cameras. - Long Li; Fengqing Zhu 001; Heather A. Eicher-Miller; J. Graham Thomas; Yuning Huang; Edward Sazonov (CVPR Workshops, 2025)

Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks. - Annalisa Szymanski; Noah Ziems; Heather A. Eicher-Miller; Toby Jia-Jun Li; Meng Jiang 001; Ronald A. Metoyer (IUI, 2025)