Machine learning method helps predict mental health symptoms in adolescents
In recent decades researchers have shown that an adolescent’s neurobiology and environment interact to shape emotional and behavioral development, but...
Learning
DeepASD: a deep adversarial-regularized graph learning method for ASD diagnosis with multimodal data
DeepASD overviewDeepASD receives \(N\) patients data and each patient is associated with \(K\) modalities. Let \(\bfX=\\bfx_i\_i=1^N\) denotes the raw multimodal...
Identifying alternately poisoning attacks in federated learning online using trajectory anomaly detection method
We conducted experimental evaluations within the federated learning framework FedAvg to assess the effectiveness of our method in detecting covert...
Multi-metric comparison of machine learning imputation methods with application to breast cancer survival | BMC Medical Research Methodology
Motivating example: breast cancer case studyTo apply our most effective method to a real-world situation, we used data from a...
A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features
Cells and culture conditionsThe following cells were used in this study (all human, except the monkey cells): A549 cells (lung...
Reinforcement Learning, Part 7: Introduction to Value-Function Approximation | by Vyacheslav Efimov | Aug, 2024
Scaling reinforcement learning from tabular methods to large spaces10 min read·Aug 22, 2024Reinforcement learning is a domain in machine learning...
