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Found 7 papers, 1 papers with code
Detecting subtle macroscopic changes in a finite temperature classical scalar field with machine learning
Our finding suggests that the AI method outperforms both the statistical method and the physics method in its sensitivity.
A Network Resource Allocation Recommendation Method with An Improved Similarity Measure
In this paper, to personalize the recommendations and allocate recommendation resources more purposively, a method named PIM+RA is proposed.
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?
Instead, only a secured remote access to a data lake is granted to the model owner without any ability to retrieve data from the data lake.
A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image Co-segmentation
In this paper, we propose a new approach to image co-segmentation through introducing the dense connections into the decoder path of Siamese U-net and presenting a new edge enhanced 3D IOU loss measured over distance maps.
Exact Topology of Dynamic Probability Surface of an Activated Process by Persistent Homology
To gain insight into reaction mechanism of activated processes, we introduce an exact approach for quantifying the topology of high-dimensional probability surfaces of the underlying dynamic processes.
Mathematical Physics Mathematical Physics
Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing
Compared to existing datasets, the queries in the dataset here are derived from the eligibility criteria of clinical trials and include \textit{Order-sensitive, Counting-based, and Boolean-type} cases which are not seen before.
A New Three-stage Curriculum Learning Approach to Deep Network Based Liver Tumor Segmentation
The learning in the first stage is performed on the whole input to obtain an initial deep network for tumor segmenta-tion.
