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Cellpose training data and scripts from "Machine learning for histological annotation and quantification of cortical layers"

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Cellpose training data and scripts from "Machine learning for histological annotation and quantification of cortical layers"

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Intelligent and Self-Driving Microscopy of Protein Aggregation in Neurodegenerative Diseases

Robust and Personalized Federated Learning: Handling Data Corruption and Heterogeneity

Deep learning approach for identification of Hii regions during reionization in 21-cm observations – III. image recovery

Learning transferable land cover semantics for open vocabulary interactions with remote sensing images

Adaptive Interface-Pinns (Adai-Pinns) for Transient Diffusion: Applications to Forward and Inverse Problems in Heterogeneous Media

Constrained Zero-Shot Neural Architecture Search on Small Classification Dataset

Distributed Machine Learning Targeting Embedded Systems for Epilepsy Detection

PyTorch 2 Model for the prediction of single-artery segmentations for "AngioPy segmentation: An open-source, user-guided deep learning tool for coronary artery segmentation"

Bridging Discrete Choice Modeling and Neural Networks: Unifying Statistical Rigor and Predictive Power

Bootstrapping Autonomous Driving Radars with Self-Supervised Learning

Materials science experiments by robotic automation

Quantum Variational Algorithms: Exploring Applications and Potentials Amid Trainability and Classical Simulability Limitations

Modeling the ferroelectric phase transition in barium titanate with DFT accuracy and converged sampling

Annotation Cost-Efficient Active Learning for Deep Metric Learning-Driven Remote Sensing Image Retrieval

Facilitated machine learning for image-based fruit quality assessment

Depth Estimation for Egocentric Rehabilitation Monitoring Using Deep Learning Algorithms

RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior

Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning

Detecting Freezing of Gait in Parkinson's Disease Patient via Deep Residual Network

Decision Learning and Adaptation Over Multi-Task Networks