Lung cancer is the leading cause of cancer death and early diagnosis is
...
Large language models, e.g. ChatGPT are currently contributing enormousl...
Despite its astounding success in learning deeper multi-dimensional data...
Imitation learning demonstrates remarkable performance in various domain...
As one of the prevalent methods to achieve automation systems, Imitation...
With the rapid deployment of graph neural networks (GNNs) based techniqu...
Efficient custom pooling techniques that can aggressively trim the dimen...
Automated social behaviour analysis of mice has become an increasingly
p...
Removing bias while keeping all task-relevant information is challenging...
Graph neural networks (GNNs) have demonstrated a significant boost in
pr...
Nonlinear wave interactions, such as shock refraction at an inclined den...
Predicting the duration of traffic incidents is a challenging task due t...
Segmentation of marine oil spills in Synthetic Aperture Radar (SAR) imag...
The infrared small-dim target detection is one of the key techniques in ...
Algorithmic processes are increasingly employed to perform managerial
de...
The label bias and selection bias are acknowledged as two reasons in dat...
Imitation learning aims to extract knowledge from human experts'
demonst...
Building an effective Machine Learning (ML) model for a data set is a
di...
Recent works for attributed network clustering utilize graph convolution...
Traffic control optimization is a challenging task for various traffic
c...
Automated analysis of mouse behaviours is crucial for many applications ...
Multimodal sentiment analysis utilizes multiple heterogeneous modalities...
The recent COVID-19 pandemic has caused unprecedented impact across the
...
The outbreak of the novel Coronavirus Disease 2019 (COVID-19) has caused...
Data61 and Western Water worked collaboratively to apply engineering
exp...
This paper proposes an improved version of the current online learning
a...
In this paper, we consider the sigmoid Gaussian Hawkes process model: th...
Machine learning (including deep and reinforcement learning) and blockch...
The stationarity is assumed in vanilla Hawkes process, which reduces the...
Motivated by the practical demands for simplification of data towards be...
As a successful application of multi-view learning, Hyperalignment and S...
ROUGE is one of the first and most widely used evaluation metrics for te...
Given a user's query, traditional image search systems rank images accor...
Stochastic partition models tailor a product space into a number of
rect...
Multi Sentence Compression (MSC) is of great value to many real world
ap...