22 hours ago · Fine-tuned transformer models for amino acid sequences have been used for various downstream tasks such as protein function classification, protein fitness ...
Jul 17, 2024 · Bridging the gap between data and model, we develop a structure enumerator to comprehensively generate protonation states from given molecules. It helps to ...
5 days ago · The main objective of this analysis is to identify conserved structural differences across all peptides of interest between various end-to-end holding stages ( ...
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Jul 12, 2024 · This talk highlights such impactful shifts in representation learning for IR and related areas, the new challenges coming along and the remedies, including our ...
7 days ago · We propose a new perspective to analyze knowl- edge utilization mechanisms from three levels: memorization, comprehension and applica- tion, and creation. • We ...
6 days ago · GraphReader: LLM agent converts long text into graph structure to explore by performing step-by-step analysis and by generating detailed plan. Achieves ...
Jul 19, 2024 · ... accurate classification, and improved classification through the use of taxonomy. (NA?) Consider using unbiased classification tree algorithms like CRUISE ...
Jul 12, 2024 · The embeddings of both structural and textual information are combined to classify entities into their types. The approach by Biswas et al. [42] leverages ...
Jul 16, 2024 · We present randomized Kaczmarz method for linear discriminant analysis (rkLDA), an iterative randomized approach to binary-class Gaussian model linear ...
Jul 8, 2024 · This paper introduces innovative sensitivity indices based on Cliff's Delta for the global sensitivity analysis of structural reliability. These indices build ...