As large language models continue to develop in the field of AI, text
ge...
In recent years, Large Language Models (LLMs) have demonstrated remarkab...
Lossless floating-point time series compression is crucial for a wide ra...
A new local watermarking method based on histogram shifting has been pro...
Due to the scarcity of sampling data in reality, few-shot object detecti...
E-commerce platforms provide entrances for customers to enter mini-apps ...
The anti-interference capability of wireless links is a physical layer
p...
Rapid reliability assessment of transportation networks can enhance
prep...
Graphs can model real-world, complex systems by representing entities an...
Temporal knowledge prediction is a crucial task for the event early warn...
In clinics, doctors rely on electrocardiograms (ECGs) to assess severe
c...
Meta-solver approaches exploits a number of individual solvers to potent...
The network intrusion detection task is challenging because of the imbal...
Time series forecasting (TSF) is fundamentally required in many real-wor...
Existing system dealing with online complaint provides a final decision
...
Graph representation learning has attracted a surge of interest recently...
The recent paper "Simple confidence intervals for MCMC without CLTs" by ...
Knowledge graphs have been demonstrated to be an effective tool for nume...
Graph neural networks (GNNs) apply deep learning techniques to
graph-str...
Feature extraction plays an important role in Electrocardiogram (ECG) Be...
SUNNY is an Algorithm Selection (AS) technique originally tailored for
C...
This review paper provides an introduction of Markov chains and their
co...
Supervised machine learning often requires human-annotated data. While
a...
Nowadays, deep learning techniques are widely used for lane detection, b...
We present the Twitter Job/Employment Corpus, a collection of tweets
ann...
Network Function Virtualization (NFV) and Software Defined Networking (S...
Segmentation of histological images is one of the most crucial tasks for...