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108. Uncertainty-driven modality selection for data-efficient prediction of Alzheimer's disease.

111. Next-generation logic design architecture for vertical-transport nanosheets

114. A Machine Learning Model Including Questionnaire and Structural Imaging Data Predicts Headache Improvement in Patients with Acute Post-traumatic Headache Attributed to Mild Traumatic Brain Injury (P8-12.002)

115. Participant-specific interrogation of population-based data to predict cognitive decline from neuropsychiatric symptoms and neuroimaging biomarkers: A machine learning approach (P12-6.001)

117. Performing Automatic Identification and Staging of Urothelial Carcinoma in Bladder Cancer Patients Using a Hybrid Deep-Machine Learning Approach

118. Pseudo Supervised Metrics: Evaluating Unsupervised Image to Image Translation Models In Unsupervised Cross-Domain Classification Frameworks

120. Solving the Distribution Center Location Problem Based on Multi-swarm Cooperative Particle Swarm Optimizer

121. Reply to Maase et al. Comment on “Jones et al. Application of a Novel Algorithm for Expanding Newborn Screening for Inherited Metabolic Disorders across Europe. Int. J. Neonatal Screen. 2022, 8, 20”

135. Dampster-Shafer Evidence Theory Based Multi-Characteristics Fusion for Clustering Evaluation

142. Self-Supervised Contrastive Learning to Predict the Progression of Alzheimer's Disease with 3D Amyloid-PET.

144. mNG-tagged fusion proteins and nanobodies to visualize tropomyosins in yeast and mammalian cells

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