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Found 6 papers, 2 papers with code
EyeLS: Shadow-Guided Instrument Landing System for Intraocular Target Approaching in Robotic Eye Surgery
Robotic ophthalmic surgery is an emerging technology to facilitate high-precision interventions such as retina penetration in subretinal injection and removal of floating tissues in retinal detachment depending on the input imaging modalities such as microscopy and intraoperative OCT (iOCT).
Deep Autoencoder Model Construction Based on Pytorch
This paper proposes a deep autoencoder model based on Pytorch.
Research on restaurant recommendation using machine learning
By analyzing some technologies and ideas used by machine learning in recommender systems, let more people understand what is Big data and what is machine learning.
Capsule networks with non-iterative cluster routing
In the proposed cluster routing, capsules produce vote clusters instead of individual votes for next-layer capsules, and each vote cluster sends its centroid to a next-layer capsule.
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation
To further capture the causal and temporal dependencies between the sentences in a reasonable story, we employ multi-task learning which combines a discriminative objective to distinguish true and fake stories during fine-tuning.
Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models
Our results show that object detection can help improve the accuracy of some skin disease classes.
