The application of stock index price prediction with neural network
Stock index price prediction is prevalent in both academic and economic fields. The index
price is hard to forecast due to its uncertain noise. With the development of computer …
price is hard to forecast due to its uncertain noise. With the development of computer …
Oil spill detection based on multiscale multidimensional residual CNN for optical remote sensing imagery
ST Seydi, M Hasanlou, M Amani… - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
Oil spill (OS), as one of the main pollutions in the ocean, is a serious threat to the marine
environment. Thus, timely and accurate OS detection (OSD) is necessary for ocean …
environment. Thus, timely and accurate OS detection (OSD) is necessary for ocean …
Towards better long-tailed oracle character recognition with adversarial data augmentation
Deciphering oracle bone script is of great significance to the study of ancient Chinese
culture as well as archaeology. Although recent studies on oracle character recognition …
culture as well as archaeology. Although recent studies on oracle character recognition …
Detection and classification of COVID-19 by radiological imaging modalities using deep learning techniques: a literature review
Coronavirus disease (COVID-19) is a viral pneumonia that originated in China and has
rapidly spread around the world. Early diagnosis is important to provide effective and timely …
rapidly spread around the world. Early diagnosis is important to provide effective and timely …
[HTML][HTML] Deep learning regularization techniques to genomics data
Deep Learning algorithms have achieved a great success in many domains where large
scale datasets are used. However, training these algorithms on high dimensional data …
scale datasets are used. However, training these algorithms on high dimensional data …
Synthetic data augmentation and deep learning for the fault diagnosis of rotating machines
As failures in rotating machines can have serious implications, the timely detection and
diagnosis of faults in these machines is imperative for their smooth and safe operation …
diagnosis of faults in these machines is imperative for their smooth and safe operation …
Sentiment analysis of youtube video comments using deep neural networks
AAL Cunha, MC Costa, MAC Pacheco - … 16–20, 2019, Proceedings, Part I …, 2019 - Springer
Over the years, social networks have become an important vehicle for communication. Many
users on YouTube use comments to express opinions or critique a subject. The amount of …
users on YouTube use comments to express opinions or critique a subject. The amount of …
A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation
We consider the problem of volumetric (3D) unsupervised domain adaptation (UDA) in cross-
modality medical image segmentation, aiming to perform segmentation on the unannotated …
modality medical image segmentation, aiming to perform segmentation on the unannotated …
Exploiting attention-consistency loss for spatial-temporal stream action recognition
Currently, many action recognition methods mostly consider the information from spatial
streams. We propose a new perspective inspired by the human visual system to combine …
streams. We propose a new perspective inspired by the human visual system to combine …
[HTML][HTML] Sensitivity and dimensionality of atomic environment representations used for machine learning interatomic potentials
Faithfully representing chemical environments is essential for describing materials and
molecules with machine learning approaches. Here, we present a systematic classification …
molecules with machine learning approaches. Here, we present a systematic classification …