| 101419 | -- | 0 | Clinton M. Holt, Alexis K. Janke, Parastoo Amlashi, Parker J. Jamieson, Toma M. Marinov, Ivelin S. Georgiev. Contrastive learning enables epitope overlap predictions for targeted antibody discovery |
| 101423 | -- | 0 | Felipe Yáñez, Xiaoliang Luo, Omar Valerio Minero, Bradley C. Love. Confidence-weighted integration of human and machine judgments for superior decision-making |
| 101425 | -- | 0 | Oriol Gracia Carmona, Vilde Leipart, Gro V. Amdam, Christine A. Orengo, Franca Fraternali. Leveraging protein language models and a scoring function for indel characterization and transfer learning |
| 101426 | -- | 0 | Xiang Zhang, Mingyue Zhao, Fei Yao, Wenxin Ma, Jin Zhang, Yueze Li, Xiuxiu Zhou, Yu Guan, Yi Xiao, Li Fan 0002, Shaohua Kevin Zhou, Shiyuan Liu. A self-supervised framework for emphysema anomaly detection and staging in computed tomography scans |
| 101431 | -- | 0 | Tianyu Liu, TianQi Chen, Wangjie Zheng, Xiao Luo, Yiqun Chen, Hongyu Zhao. Embeddings from language models are good learners for single-cell data analysis |
| 101455 | -- | 0 | Jiaru Jia, Mingzhe Liu 0001, Dongfen Li, Xin Chen, Ruili Wang, Linlin Zhuo, Keqin Li 0001. A label masked autoencoder for image-guided segmentation label completion |
| 101475 | -- | 0 | Minjun Kang, Seungdae Baek, Se-Bum Paik. Prewired static visual receptive fields for environment-agnostic perception |
| 101492 | -- | 0 | Michael F. Gensheimer. Creating strong predictive models in oncology |
| 101494 | -- | 0 | Alan W. Freeman. Making neural networks more neural |