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Found 6 papers, 2 papers with code
Reservoir Static Property Estimation Using Nearest-Neighbor Neural Network
This note presents an approach for estimating the spatial distribution of static properties in reservoir modeling using a nearest-neighbor neural network.
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach
Alzheimer's Disease (AD) is a complex neurodegenerative disorder marked by memory loss, executive dysfunction, and personality changes.
A Hybrid Framework for Spatial Interpolation: Merging Data-driven with Domain Knowledge
Estimating spatially distributed information through the interpolation of scattered observation datasets often overlooks the critical role of domain knowledge in understanding spatial dependencies.
ML-Mamba: Efficient Multi-Modal Large Language Model Utilizing Mamba-2
We replace the Transformer-based backbone with a pre-trained Mamba-2 model and explore methods for integrating 2D visual selective scanning mechanisms into multimodal learning while also trying various visual encoders and Mamba-2 model variants.
Are Linear Regression Models White Box and Interpretable?
The common notion in the literature that simple models including linear regression are considered as "white box" because they are more interpretable and easier to understand.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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Meta-Learning Siamese Network for Few-Shot Text Classification
Few-shot learning has been used to tackle the problem of label scarcity in text classification, of which meta-learning based methods have shown to be effective, such as the prototypical networks (PROTO).
