most citedExplainable AI-Based Interface System for Weather Forecasting Model

8 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

LEXIC: Lightweight On-Device Decoding of Reading Comprehension from Eye Movements

Sumin Lee, Kyeonghun Kim, Subeen Lee +6

Predicting comprehension from eye movements could support adaptive reading interfaces. We present LEXIC, a compact recurrent model that predicts response correctness from fixation…

cs.CV2026

RoAD Benchmark: How LiDAR Models Fail under Coupled Domain Shifts and Label Evolution

Subeen Lee, Siyeong Lee, Namil Kim +1

For 3D perception systems to operate reliably in real-world environments, they must remain robust to evolving sensor characteristics and changes in object taxonomies. However, exis…

cs.AI2025★ 2 cited

Example-Based Concept Analysis Framework for Deep Weather Forecast Models

Soyeon Kim, Junho Choi, Subeen Lee +1

To improve the trustworthiness of an AI model, finding consistent, understandable representations of its inference process is essential. This understanding is particularly importan…

cs.AI2025★ 8 cited

Explainable AI-Based Interface System for Weather Forecasting Model

Soyeon Kim, Junho Choi, Yeji Choi +6

Machine learning (ML) is becoming increasingly popular in meteorological decision-making. Although the literature on explainable artificial intelligence (XAI) is growing steadily,…

cs.CV2025

Diverse Rare Sample Generation with Pretrained GANs

Subeen Lee, Jiyeon Han, Soyeon Kim +1

Deep generative models are proficient in generating realistic data but struggle with producing rare samples in low density regions due to their scarcity of training datasets and th…