works on

From the 1 of 3.8k papers with an AI index.

output
19922026
most citedBioBERT: a pre-trained biomedical language representation model for biomedical text mining

7.5k citations

3,804 papers

cs.AI2026

AliO: Output Alignment Matters in Long-Term Time Series Forecasing

Kwangryeol Park, Jaeho Kim, Seulki Lee

Long-term Time Series Forecasting (LTSF) tasks, which leverage the current data sequence as input to predict the future sequence, have become increasingly crucial in real-world app…

cs.AI2026★ 3 cited

SpecRegMatch: Robust Semi-Supervised Regression for Vehicle Interior Noise Prediction

Sejin Sim, Jinsoo Bae, Seoung Bum Kim

The rapid advancement of artificial intelligence has observed increased application in predicting vehicle interior noise levels within the automotive industry. However, the collect…

cs.CV2026

WhiteCon: Semi-Supervised Domain Adaptation Regression Through Whitening Transform and Dual Consistency

Se Jin Sim, Seoung Bum Kim

Domain adaptation is crucial for addressing distributional shifts that degrade model performance across domains. While most existing research has centered on classification, semi-s…

cs.LG2026★ 8 cited

Electric Vehicle Charging Station Location Selection using Geospatial Artificial Intelligence (GeoAI)

Eun Hak Lee, Euntak Lee

As electric vehicle (EV) adoption increases, ensuring efficient and well-distributed charging infrastructure has become a critical challenge. While many EV charging station locatio…

cs.CV2026

InterHier: Learning Interconnected Hierarchical Semantics for Open-Vocabulary Object Detection

Yeong-Jin Kim, Ho-Joong Kim, Seong-Whan Lee

In this paper, we investigate the limitations of fixed, hand-crafted connectors in hierarchical semantic representations for open-vocabulary object detection. Existing methods esta…

cs.CV2026

Automated Dental Caries Segmentation in Panoramic Radiographs Using Dual-Stage Deep Learning

Jihun Kim, Kyeonghun Kim, Jong-yeol Lee +2

Early detection of dental caries remains challenging due to limitations in traditional diagnostic methods, particularly for proximal lesions in posterior teeth. Deep learning model…