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Found 10 papers, 2 papers with code
Semantic Parsing for Question Answering over Knowledge Graphs
This method centers on semantic parsing, a key approach for interpreting these utterances.
Two stage Robust Nash Bargaining based Benefit Sharing between Electric and HCNG Distribution Networks Bridged with SOFC
Hydrogen-enriched compressed natural gas (HCNG) networks have potentized sustainability and efficiency of integrated electricity and natural gas systems.
HSD-PAM: High Speed Super Resolution Deep Penetration Photoacoustic Microscopy Imaging Boosted by Dual Branch Fusion Network
As a result, the imaging speed is increased 16 times and the imaging lateral resolution is improved 5 times, while the deep penetration merit of AR-PAM modality is still reserved.
Privacy-preserving Adversarial Facial Features
In this paper, we propose an adversarial features-based face privacy protection (AdvFace) approach to generate privacy-preserving adversarial features, which can disrupt the mapping from adversarial features to facial images to defend against reconstruction attacks.
Adaptive Base-class Suppression and Prior Guidance Network for One-Shot Object Detection
One-shot object detection (OSOD) aims to detect all object instances towards the given category specified by a query image.
An Adaptive GViT for Gas Mixture Identification and Concentration Estimation
The gas identification and concentration estimation model called GCN-ViT(GViT) is proposed in this paper; we view the sensor data to be a one-way chain that has only been downscaled to retain the majority of the original in-formation.
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence
In this work, edge users collaborate to train a Hyper-network in the server, generating personalized autoencoders for each user.
The Role of Urban Form in the Performance of Shared Automated Vehicles
The technology of Shared Automated Vehicles (SAVs) has advanced significantly in recent years.
Computers and Society J.4; J.6
Scene-Specific Pedestrian Detection Based on Parallel Vision
In order to make the generic scene pedestrian detectors work well in specific scenes, the labeled data from specific scenes are needed to adapt the models to the specific scenes.
PLUTO: Penalized Unbiased Logistic Regression Trees
We propose a new algorithm called PLUTO for building logistic regression trees to binary response data.
