research
∙
06/06/2023
Greedy-Mine: A Profitable Mining Attack Strategy in Bitcoin-NG
Bitcoin-NG is an extensible blockchain protocol based on the same trust ...
share
research
∙
05/12/2023
Novel bribery mining attacks in the bitcoin system and the bribery miner's dilemma
Mining attacks allow adversaries to obtain a disproportionate share of t...
research
∙
02/26/2023
A Survey on Uncertainty Quantification Methods for Deep Neural Networks: An Uncertainty Source Perspective
Deep neural networks (DNNs) have achieved tremendous success in making a...
research
∙
09/02/2022
An Explainer for Temporal Graph Neural Networks
Temporal graph neural networks (TGNNs) have been widely used for modelin...
research
∙
09/01/2022
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
High-performance traffic flow prediction model designing, a core technol...
research
∙
06/26/2022
Spatiotemporal Data Mining: A Survey
Spatiotemporal data mining aims to discover interesting, useful but non-...
research
∙
02/11/2022
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature
This paper proposes a new data-driven method for predicting water temper...
research
∙
12/29/2021
Background-aware Classification Activation Map for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) relaxes the requirement of ...
research
∙
06/23/2021
A Label Management Mechanism for Retinal Fundus Image Classification of Diabetic Retinopathy
Diabetic retinopathy (DR) remains the most prevalent cause of vision imp...
research
∙
12/24/2020
A Survey on Spatial and Spatiotemporal Prediction Methods
With the advancement of GPS and remote sensing technologies, large amoun...
research
∙
10/02/2020
Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors
In recent years, deep learning techniques (e.g., U-Net, DeepLab) have ac...
research
∙
08/28/2020
Semi-supervised Learning with the EM Algorithm: A Comparative Study between Unstructured and Structured Prediction
Semi-supervised learning aims to learn prediction models from both label...
research
∙
08/25/2020
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy
Given a 3D surface defined by an elevation function on a 2D grid as well...
research
∙
08/25/2020
A Hidden Markov Tree Model for Flood Extent Mapping in Heavily Vegetated Areas based on High Resolution Aerial Imagery and DEM: A Case Study on Hurricane Matthew Floods
Flood extent mapping plays a crucial role in disaster management and nat...
research
∙
04/30/2020
Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach
Given a user-specified minimum degree threshold γ, a γ-quasi-clique is a...
research
∙
04/13/2020
Learning Event-Based Motion Deblurring
Recovering sharp video sequence from a motion-blurred image is highly il...
research
∙
08/16/2019
Recurrent U-net: Deep learning to predict daily summertime ozone in the United States
We use a hybrid deep learning model to predict June-July-August (JJA) da...
research
∙
07/15/2019
Mapping road safety features from streetview imagery: A deep learning approach
Each year, around 6 million car accidents occur in the U.S. on average. ...
research
∙
05/24/2018