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Ethan Seefried

Observed name: Seefried, Ethan
ORCID: 0009-0004-2268-9571
Observed ORCID: 0009-0004-2268-9571
OpenAlex ID: A5093021996
Paying Attention to Wildfire: Using U-Net with Attention Blocks on Multimodal Data for Next Day Prediction
2023 · Jack Fitzgerald, Ethan Seefried, et al. · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · 13
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Learning Foreign Language Vocabulary Through Task-Based Virtual Reality Immersion
2024 · Ethan Seefried, Mariah Bradford, et al. · Communications in computer and information science · 2
Perceiving and Learning Color as Sound in Virtual Reality
2024 · Ethan Seefried, Jessica Bahny, et al. · IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) · 1
ChemSafe: Hybrid Retrieval-Augmented Decision Support for Laboratory Chemical Hazard Assessment
2026 · Ran Elgedawy, Sanjay Das, et al. · ACM/IEEE Joint Conference on Digital Libraries
STACK: 3D Spatial Task Analysis in Collaborative Construction Keyframes
2026 · Changsoo Jung, Sheikh Abdul Mannan, et al. · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
RADIANCE: Rapid AI for Data Integration and Analytics in Childhood and Young Adult Cancer Ecosystems: FY26 AIM-3 MVP Report
2026 · Mayanka Shekar, xi Zhang, et al.
Using LLMs to Annotate Pedagogical Moves: You Know What I Mean?
2026 · Videep Venkatesha, Sifatul Anindho, et al. · Lecture notes in computer science
Quantum-Rag: Retrieval-Augmented Generation Framework for Quantum Circuit Code Generation
2026 · Nicholas Stapleton, Sharmin Afrose, et al. · IEEE Dallas Circuits and Systems Conference (DCAS)
Spatial Amsan: A Benchmark for Perception-Grounded Spatial Reasoning and Action Evaluation in Egocentric Manipulation
2026 · Changsoo Jung, Jack Fitzgerald, et al. · Lecture notes in computer science
Clean Training, Clear Skies: Virtual Reality Training for Expert Smoke Opacity Certification
2025 · Ethan Seefried, Videep Venkatesha, et al. · IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
Evaluating a Computer Vision Enhancement of the Millikan Oil-Drop Experiment
2025 · Caleb Christian, Ethan Seefried, et al. · Lecture notes in computer science
Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
2024 · Nath, Abhijnan, Jung, Changsoo, et al. · arXiv (Cornell University)
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Works count: 13
Citation count: 16
H-index: 2
I10-index: 1
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