| 100612 | -- | 0 | Ioannis Tsamardinos. Don't lose samples to estimation |
| 100616 | -- | 0 | Shuo Liu, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, Kun Qian 0003, Xin Jing, Alexander Kathan, Bin Hu 0001, Björn W. Schuller. Audio self-supervised learning: A survey |
| 100625 | -- | 0 | Arnab Kabiraj, Tripti Jain, Santanu Mahapatra. Massive Monte Carlo simulations-guided interpretable learning of two-dimensional Curie temperature |
| 100627 | -- | 0 | Dolzodmaa Davaasuren, Yintong Chen, Leila Jaafar, Rayna Marshall, Angelica L. Dunham, Charles T. Anderson, James Z. Wang 0001. Automated 3D segmentation of guard cells enables volumetric analysis of stomatal biomechanics |
| 100628 | -- | 0 | Jiahua Rao, Shuangjia Zheng, Yutong Lu, Yuedong Yang. Quantitative evaluation of explainable graph neural networks for molecular property prediction |
| 100632 | -- | 0 | Erin Connelly, Christina Lee, Jessica Furner-Pardoe, Charo I. Del Genio, Freya Harrison. A case study of the Ancientbiotics collaboration |
| 100634 | -- | 0 | David A. Santos, Justin L. Andrews, Binbin Lin, Luis R. De Jesus, Yuting Luo, Savannah Pas, Michelle A. Gross, Luis Carillo, Peter Stein, Yu Ding, Bai-Xiang Xu, Sarbajit Banerjee. Multivariate hyperspectral data analytics across length scales to probe compositional, phase, and strain heterogeneities in electrode materials |
| 100635 | -- | 0 | Marko Tesic, Ulrike Hahn. Can counterfactual explanations of AI systems' predictions skew lay users' causal intuitions about the world? If so, can we correct for that? |
| 100639 | -- | 0 | Abdullahi Ali, Nasir Ahmad, Elgar de Groot, Marcel A. J. van Gerven, Tim Christian Kietzmann. Predictive coding is a consequence of energy efficiency in recurrent neural networks |
| 100640 | -- | 0 | Le Xie, Tong Huang, Xiangtian Zheng, Yan Liu 0002, Mengdi Wang, Vijay Vittal, P. R. Kumar 0001, Srinivas Shakkottai, Yi Cui. Energy system digitization in the era of AI: A three-layered approach toward carbon neutrality |
| 100642 | -- | 0 | Mustafa Umit Oner, Mei-Ying Ng, Danilo Medina Giron, Cecilia Ee Chen Xi, Louis Ang Yuan Xiang, Malay Singh, Weimiao Yu, Wing-Kin Sung, Chin Fong Wong, Hwee Kuan Lee. An AI-assisted tool for efficient prostate cancer diagnosis in low-grade and low-volume cases |
| 100653 | -- | 0 | Jiahua Rao, Shuangjia Zheng, Yuedong Yang. Integrating supercomputing and artificial intelligence for life science |
| 100654 | -- | 0 | Aashutosh Mistry, Venkat Srinivasan. Machine learning accelerates identification of lithiated phases in X-ray images of battery hosts |
| 100655 | -- | 0 | Ivana Maric, Kévin Contrepois, Mira N. Moufarrej, Ina A. Stelzer, Dorien Feyaerts, Xiaoyuan Han, Andy Tang, Natalie Stanley, Ronald J. Wong, Gavin M. Traber, Mathew Ellenberger, Alan L. Chang, Ramin Fallahzadeh, Huda Nassar, Martin Becker 0003, Maria Xenochristou, Camilo Espinosa, Davide De Francesco, Mohammad S. Ghaemi, Elizabeth K. Costello, Anthony Culos, Xuefeng Bruce Ling, Karl G. Sylvester, Gary L. Darmstadt, Virginia D. Winn, Gary M. Shaw, David A. Relman, Stephen R. Quake, Martin S. Angst, Michael P. Snyder, David K. Stevenson, Brice Gaudilliere, Nima Aghaeepour. Early prediction and longitudinal modeling of preeclampsia from multiomics |
| 100656 | -- | 0 | Holger Engleitner, Ashwani Jha, Marta Suarez-Pinilla, Amy P. K. Nelson, Daniel Herron, Geraint Rees 0001, Karl J. Friston, Martin Rossor, Parashkev Nachev. GeoSPM: Geostatistical parametric mapping for medicine |
| 100660 | -- | 0 | David A. Santos, Binbin Lin, Justin L. Andrews. Data science enables X-ray vision |
| 100661 | -- | 0 | Shahab Bakhtiari. Energy efficiency as a normative account for predictive coding |