Aleksandr Ianevski,Anil K Giri,Prson Gautam et al.
Aleksandr Ianevski et al.
High-throughput drug combination screening provides a systematic strategy to discover unexpected combinatorial synergies in pre-clinical cell models. However, phenotypic combinatorial screening with multi-dose matrix assays is experimentall...
Deep-learning-based Prediction of Late Age-Related Macular Degeneration Progression [0.03%]
基于深度学习的老年黄斑变性进展预测模型研究
Qi Yan,Daniel E Weeks,Hongyi Xin et al.
Qi Yan et al.
Both genetic and environmental factors influence the etiology of age-related macular degeneration (AMD), a leading cause of blindness. AMD severity is primarily measured by fundus images and recently developed machine learning methods can s...
Danilo Bzdok,Thomas E Nichols,Stephen M Smith
Danilo Bzdok
The traditional goals of quantitative analytics cherish simple, transparent models to generate explainable insights. Large-scale data acquisition, enabled for instance by brain scanning and genomic profiling with microarray-type techniques,...
Andreas K Maier,Christopher Syben,Bernhard Stimpel et al.
Andreas K Maier et al.
We describe an approach for incorporating prior knowledge into machine learning algorithms. We aim at applications in physics and signal processing in which we know that certain operations must be embedded into the algorithm. Any operation ...
Educational strategies to foster diversity and inclusion in machine intelligence [0.03%]
培育机器智能领域多样性和包容性的教育策略
Shannon Wongvibulsin
Shannon Wongvibulsin
Educational strategies to foster diversity and inclusion in machine intelligence [0.03%]
培养机器智能领域的多样性与包容性的教育策略
Shannon Wongvibulsin
Shannon Wongvibulsin
An integrated iterative annotation technique for easing neural network training in medical image analysis [0.03%]
一种用于减轻医疗图像分析中神经网络训练负担的集成迭代标注技术
Brendon Lutnick,Brandon Ginley,Darshana Govind et al.
Brendon Lutnick et al.
Neural networks promise to bring robust, quantitative analysis to medical fields. However, their adoption is limited by the technicalities of training these networks and the required volume and quality of human-generated annotations. To add...
Autonomous Functional Movements in a Tendon-Driven Limb via Limited Experience [0.03%]
基于有限经验的肌腱驱动肢体自主功能运动研究
Ali Marjaninejad,Darío Urbina-Meléndez,Brian A Cohn et al.
Ali Marjaninejad et al.
Robots will become ubiquitously useful only when they can use few attempts to teach themselves to perform different tasks, even with complex bodies and in dynamical environments. Vertebrates, in fact, use sparse trial-and-error to learn mul...
Ghalib A Bello,Timothy J W Dawes,Jinming Duan et al.
Ghalib A Bello et al.
Motion analysis is used in computer vision to understand the behaviour of moving objects in sequences of images. Optimising the interpretation of dynamic biological systems requires accurate and precise motion tracking as well as efficient ...