Home »
Academic Articles & Research Papers
Showing 20 of 694 academic articles
Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam et al. (2011)
Deep networks have been successfully applied to unsupervised feature learning for single modalities (e.g., text, images or audio). In this work, we propose a novel application of deep networks to learn features over multiple modalities. We ...
OPENALEX
Vishwa S. Parekh, Michael A. Jacobs • Expert Review of Precision Medicine and Drug Development
(2019)
INTRODUCTION: The radiological reading room is undergoing a paradigm shift to a symbiosis of computer science and radiology using artificial intelligence integrated with machine and deep learning with radiomics to better define tissue chara...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1080/23808993.2019.1585805
PMC: 6508888
Chengqi Wang, Yibo Dong, Chang Li, Jenna Oberstaller et al. • Genome Biology
(2023)
Abstract Malaria remains one of the deadliest infectious diseases. Transcriptional regulation effects of noncoding variants in this unusual genome of malaria parasites remain elusive. We developed a sequence-based, ab initio deep learning f...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13059-023-03063-z
Xing Su, Shan Xue, Fanzhen Liu, Jia Wu et al. • IEEE Transactions on Neural Networks and Learning Systems
(2022)
Detecting a community in a network is a matter of discerning the distinct features and connections of a group of members that are different from those in other communities. The ability to do this is of great significance in network analysis...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tnnls.2021.3137396
Shrooq Alsenan, Isra Al-Turaiki, Alaaeldin Hafez • PeerJ Computer Science
(2021)
The blood–brain barrier plays a crucial role in regulating the passage of 98% of the compounds that enter the central nervous system (CNS). Compounds with high permeability must be identified to enable the synthesis of brain medications for...
DOAJ
Open Access (DOAJ)
DOI: 10.7717/peerj-cs.515
Shervin Minaee, Yuri Y. Boykov, Fatih Porikli, Antonio Plaza et al. • IEEE Transactions on Pattern Analysis and Machine Intelligence
(2021)
Image segmentation is a key task in computer vision and image processing with important applications such as scene understanding, medical image analysis, robotic perception, video surveillance, augmented reality, and image compression, amon...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tpami.2021.3059968
XIAO Zhipeng, HE Shufeng, TIAN Chunqi • Jisuanji gongcheng
(2025)
This study presents a facial emotion recognition network based on UniRepLKNet to address the difficulty in effectively capturing feature information and preventing key facial information from occupying a more prominent position in the facia...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0069761
Ziwei Zhang, Peng Cui, Wenwu Zhu • IEEE Transactions on Knowledge and Data Engineering
(2020)
Deep learning has been shown to be successful in a number of domains, ranging from acoustics, images, to natural language processing. However, applying deep learning to the ubiquitous graph data is non-trivial because of the unique characte...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tkde.2020.2981333
Jianqing Fan, Cong Ma, Yiqiao Zhong • Statistical Science
(2021)
Deep learning has achieved tremendous success in recent years. In simple words, deep learning uses the composition of many nonlinear functions to model the complex dependency between input features and labels. While neural networks have a l...
OPENALEX
Open Access
DOI: https://doi.org/10.1214/20-sts783
PMC: 8300482
Chang Min Hyun, Hwa Pyung Kim, Sung Min Lee, Sungchul Lee et al. • Physics in Medicine and Biology
(2018)
This paper presents a deep learning method for faster magnetic resonance imaging (MRI) by reducing k-space data with sub-Nyquist sampling strategies and provides a rationale for why the proposed approach works well. Uniform subsampling is u...
OPENALEX
cc-by
DOI: https://doi.org/10.1088/1361-6560/aac71a
Rongshuo Zhang, Hongfei Chen, Peiyuan Xie, Lei Zu et al. • Sensors
(2023)
Enhancing gasoline detergency is pivotal for enhancing fuel efficiency and mitigating exhaust emissions in gasoline vehicles. This study investigated gasoline vehicle emission characteristics with different gasoline detergency, explored syn...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s23177655
Christopher D. Manning • Computational Linguistics
(2015)
Deep Learning waves have lapped at the shores of computational linguistics for several years now, but 2015 seems like the year when the full force of the tsunami hit the major Natural Language Processing (NLP) conferences. However, some pun...
OPENALEX
Open Access
DOI: https://doi.org/10.1162/coli_a_00239
Yu Lyu, Xiaolin Tian • Bioengineering
(2023)
Deep learning technology has achieved breakthrough research results in the fields of medical computer vision and image processing. Generative adversarial networks (GANs) have demonstrated a capacity for image generation and expression abili...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bioengineering10091091
Shuo Han, Bo Mo, Junwei Xu, Shizun Sun et al. • International Journal of Computational Intelligence Systems
(2024)
Abstract Infrared images of sensitive targets are difficult to obtain and cannot meet the design and training needs of target detection and tracking algorithms for mobile platforms such as aircraft. This paper proposes an image translation ...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44196-024-00674-7
Chao Zuo, Jiaming Qian, Shijie Feng, Wei Yin et al. • Light Science & Applications
(2022)
With the advances in scientific foundations and technological implementations, optical metrology has become versatile problem-solving backbones in manufacturing, fundamental research, and engineering applications, such as quality control, n...
OPENALEX
cc-by
DOI: https://doi.org/10.1038/s41377-022-00714-x
PMC: 8866517
Terrence J. Sejnowski A B • The MIT Press eBooks
(2018)
How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy.The deep learning revolution has brought us driverless cars, the greatly improved...
OPENALEX
DOI: https://doi.org/10.7551/mitpress/11474.001.0001
John D. Kelleher • The MIT Press eBooks
(2019)
An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vi...
OPENALEX
DOI: https://doi.org/10.7551/mitpress/11171.001.0001
Samira Pouyanfar, Saad B Sadiq, Yilin Yan, Haiman Tian et al. • ACM Computing Surveys
(2018)
The field of machine learning is witnessing its golden era as deep learning slowly becomes the leader in this domain. Deep learning uses multiple layers to represent the abstractions of data to build computational models. Some key enabler d...
OPENALEX
DOI: https://doi.org/10.1145/3234150
Federico Amato, Fabian Guignard, Sylvain Robert, Mikhail Kanevski • Scientific Reports
(2020)
Abstract As the role played by statistical and computational sciences in climate and environmental modelling and prediction becomes more important, Machine Learning researchers are becoming more aware of the relevance of their work to help ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-020-79148-7
Hanjie Xu, Jian Xiong, Jinyu Wu, Xianlai Zhou et al. • Scientific Reports
(2025)
Abstract The Ivy Algorithm (IVYA), a swarm intelligence algorithm inspired by plant growth, presents a novel framework for optimization. To unlock its full potential in complex, high-dimensional problems, it is crucial to address the fundam...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-32510-z