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Found 5 papers, 1 papers with code
A Learnable Counter-condition Analysis Framework for Functional Connectivity-based Neurological Disorder Diagnosis
Most existing frameworks consist of three stages, namely, feature selection, feature extraction for classification, and analysis, where each stage is implemented separately.
GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks
Graph convolutional neural networks (GCNs) have emerged as a key technology in various application domains where the input data is relational.
LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models
Despite the stride made by machine learning (ML) based performance modeling, two major concerns that may impede production-ready ML applications in EDA are stringent accuracy requirements and generalization capability.
hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries
Localization information for all instruments is provided in the form of a bounding box for object detection.
Rethinking Generalization Performance of Surgical Phase Recognition with Expert-Generated Annotations
For gastrectomy for gastric cancer has more complex twenty-one surgical phases, we generate consensus annotation by the revision process with five specialists.
