[PDF][PDF] 生成对抗网络GAN 综述
梁俊杰， 韦舰晶， 蒋正锋 - 计算机科学与探索, 2020 - scholar.archive.org
生成对抗网络(GAN) 作为一种新的无监督学习算法框架得到越来越多研究者的青睐,
已然成为当下的一个研究热点. GAN 受启发于博弈论中的二人零和博弈理论 …
已然成为当下的一个研究热点. GAN 受启发于博弈论中的二人零和博弈理论 …
Prediction of chemical compounds properties using a deep learning model
M Galushka, C Swain, F Browne, MD Mulvenna… - Neural Computing and …, 2021 - Springer
The discovery of new medications in a cost-effective manner has become the top priority for
many pharmaceutical companies. Despite decades of innovation, many of their processes …
many pharmaceutical companies. Despite decades of innovation, many of their processes …
Estimating Environmental Cost Throughout Model's Adaptive Life Cycle
V Sangarya, R Bradford, JE Kim - … of the AAAI/ACM Conference on AI …, 2024 - ojs.aaai.org
With the rapid increase in the research, development, and application of neural networks in
the current era, there is a proportional increase in the energy needed to train and use …
the current era, there is a proportional increase in the energy needed to train and use …
Diffusion Model-based Mobile Traffic Generation with Open Data for Network Planning and Optimization
With the rapid development of the Fifth Generation Mobile Communication Technology (5G)
networks, network planning and optimization have become increasingly crucial. Generating …
networks, network planning and optimization have become increasingly crucial. Generating …
Online schedule randomization to mitigate timing attacks in 5G periodic URLLC communications
A Samaddar, A Easwaran - ACM Transactions on Sensor Networks, 2023 - dl.acm.org
Ultra-reliable low-latency communication (URLLC) in 5G networks is designed to support
time-critical applications such as industrial control systems (ICSs), where user equipment …
time-critical applications such as industrial control systems (ICSs), where user equipment …
Dual discriminator weighted mixture generative adversarial network for image generation
B Liu, L Wang, J Wang, J Zhang - Journal of Ambient Intelligence and …, 2023 - Springer
Image generation is a hot topic in the field of machine learning and computer vision. As a
representative of its algorithm, the Generative Adversarial Network (GAN) has the problem of …
representative of its algorithm, the Generative Adversarial Network (GAN) has the problem of …
TextBenDS: a generic textual data benchmark for distributed systems
Extracting top-k keywords and documents using weighting schemes are popular techniques
employed in text mining and machine learning for different analysis and retrieval tasks. The …
employed in text mining and machine learning for different analysis and retrieval tasks. The …
[HTML][HTML] Leveraging relevant summarized information and multi-layer classification to generalize the detection of misleading headlines
Disinformation is an important problem facing society nowadays. Given the rapid and easy
access to information, news stories quickly go viral, the vast majority of which are misleading …
access to information, news stories quickly go viral, the vast majority of which are misleading …
CBKG-DTI: Multi-Level Knowledge Distillation and Biomedical Knowledge Graph for Drug-Target Interaction Prediction
X Zhao, Q Wang, Y Zhang, C He… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
The prediction of drug-target interactions (DTIs) has emerged as a vital step in drug
discovery. Recently, biomedical knowledge graph enables the utilization of multi-omics …
discovery. Recently, biomedical knowledge graph enables the utilization of multi-omics …
Deep-Learning-Based Temporal Prediction for Mitigating Dynamic Inconsistency in Vehicular Live Loads on Roads and Bridges
Weigh-In-Motion (WIM) data have been collected by state departments of transportation
(DOT) in the US and are anticipated to grow as state DOTs expand the number of WIM sites …
(DOT) in the US and are anticipated to grow as state DOTs expand the number of WIM sites …