影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
-/100
发表论文1 篇
平均评分
年均产出1.0 篇/年
AI 学术分析
Laurits Fredsgaard
研究方向
Uncertainty Quantification · Calibration · Ensembles · Probabilistic Machine Learning · Bayesian Neural Networks · Machine Learning for Molecular Discovery · Graph Neural Networks · Generative Models · Deep Learning · VAEs · U-Net · Protein Sequence Analysis · Protein Structure Prediction · Bioinformatics · Omics · Small Molecule Drug Discovery · Target Discovery · Immunology · Virology · Vaccine Development · Protein Engineering · Peptides · Proteins