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Healthcare Big Data Management and Analytics in Scientific Programming

Shah Nazir, Iván García-Magariño, Rodziah Binti Atan, Shaukat Ali
2021 Scientific Programming  
Some classification algorithms for EEG-based BCI systems are adaptive classifiers, tensor classifiers, transfer learning approach, and deep learning, as well as some miscellaneous approaches.  ...  Visualization is a significant tool in producing diagrams, images, or animations to transfer healthcare messages and improve understandings.  ...  Some classification algorithms for EEG-based BCI systems are adaptive classifiers, tensor classifiers, transfer learning approach, and deep learning, as well as some miscellaneous approaches.  ... 
doi:10.1155/2021/9780175 fatcat:lrcfhtnt3ndfzpeaczt4cl5jry

Democratized image analytics by visual programming through integration of deep models and small-scale machine learning

Primož Godec, Matjaž Pančur, Nejc Ilenič, Andrej Čopar, Martin Stražar, Aleš Erjavec, Ajda Pretnar, Janez Demšar, Anže Starič, Marko Toplak, Lan Žagar, Jan Hartman (+8 others)
2019 Nature Communications  
These vectors are used in image clustering and classification in a framework that enables mining of image sets for both novel and experienced users.  ...  Deep learning approaches for image analysis provide an opportunity to develop user-friendly tools for exploratory data analysis.  ...  Here, we propose a visual programming approach to image analytics, where the users can combine image embedding by pretrained deep models with clustering and classification.  ... 
doi:10.1038/s41467-019-12397-x pmid:31591416 pmcid:PMC6779910 fatcat:5lcfhhhsrfawvgxh3vp2cfq5ae

A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes [article]

Yuxin Ma, Arlen Fan, Jingrui He, Arun Reddy Nelakurthi, Ross Maciejewski
2020 arXiv   pre-print
In this paper, we present a visual analytics framework for the multi-level exploration of the transfer learning processes when training deep neural networks.  ...  Despite recent advances in exploring deep learning models with visual analytics tools, little work has explored the issue of explaining and diagnosing the knowledge transfer process between deep learning  ...  DISCUSSION AND CONCLUSIONS In this paper, we present a visual analytics framework for inspecting and exploring transfer learning processes.  ... 
arXiv:2009.06876v1 fatcat:ox7ru7il2bcivna4ubz7rqfxd4

P6: A Declarative Language for Integrating Machine Learning in Visual Analytics [article]

Jianping Kelvin Li, Kwan-Liu Ma
2020 arXiv   pre-print
By providing a declarative language for visual analytics, P6 can empower more developers to create visual analytics applications that combine machine learning and visualization methods for data analysis  ...  We present P6, a declarative language for building high performance visual analytics systems through its support for specifying and integrating machine learning and interactive visualization methods.  ...  ACKNOWLEDGMENTS This research is sponsored in part by the U.S. National Science Foundation through grant IIS-1741536 and IIS-1528203, and also by the U.S.  ... 
arXiv:2009.01399v1 fatcat:723jzwvs3nhkzkcajtl77uwvga

Rough Set Approach toward Data Modelling and User Knowledge for Extracting Insights

Xiaoqun Liao, Shah Nazir, Junxin Shen, Bingliang Shen, Sulaiman Khan, M. Irfan Uddin
2021 Complexity  
Visualization is a key tool and has become one of the most significant platforms for interpreting, extracting, and communicating information.  ...  The current study is an endeavour toward data modelling and user knowledge by using a rough set approach for extracting meaningful insights.  ...  an approach of visual analytics for the visual data mining and interactive machine learning.  ... 
doi:10.1155/2021/7815418 fatcat:ihgqo5q4dbesdihegxyyeind2u

An Interactive Visual Analytics Tool for Big Earth Observation Data Content Estimation

Daniela FAUR, Andreea GRIPARIS, Adrian STOICA, Philippe MOUGNAUD, Mihai DATCU
2019 IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium  
This paper introduces a tool designed to provide an innovative and insightful way of exploring Earth observation data content beyond visualization, by addressing a visual analytics process.  ...  The proposed tool-eVADE leverages the methodologies developed in the fields of information retrieval, data mining and knowledge representation by the means of a visual analytics component. eVADE increases  ...  learning algorithms and state-of-the-art parallelization approaches in order to overcome limitations of big data processing An interactive system encompassing the visual analytics approach to explore the  ... 
doi:10.1109/igarss.2019.8898825 dblp:conf/igarss/FaurGSMD19 fatcat:u5ub3dq7ijfpfi7i5gj6fqaxpa

Data Analytics in the Internet of Things: A Survey

Tausifa Jan Saleem, Mohammad Ahsan Chishti
2019 Scalable Computing : Practice and Experience  
A comprehensive survey on the identified key enablers including their role in IoT data analytics, use cases in which they have been applied and the corresponding IoT applications for the use cases is presented  ...  This article can be used as a basis to foster advanced research in the arena of IoT data analytics.  ...  Apart from traditional machine learning approaches, various advanced learning approaches like deep learning, incremental learning, and transfer learning are also used to dig out valuable knowledge from  ... 
doi:10.12694/scpe.v20i4.1562 fatcat:y2fiya3q2bawhdg6hhczfpdbee

Do Machine Learning and Business Analytics Approaches Answer the Question of 'Will Your Kickstarter Project be Successful?

Murat Kılınç, Can Aydın, Çiğdem Tarhan
2021 Istanbul Business Research  
The data used for business analytics has been brought to a state that can provide inferences through visualization, reporting and query processes.  ...  Within this scope, a business intelligence model that works on the web has been developed by combining business analytics and machine learning methods.  ...  For this reason, a better classification can be made with both the selection of algorithms suitable for the data set and the ensemble approach.  ... 
doi:10.26650/ibr.2021.50.0117 fatcat:cocaeyoldbfdfo4ukw4poedxka

Large-Scale Social Multimedia Analysis [chapter]

Benjamin Bischke, Damian Borth, Andreas Dengel
2019 Big Data Analytics for Large-Scale Multimedia Search  
for object detection and image classification on a subset of ImageNet, 1.2 million images over 1000 categories.  ...  features extracted by a model-centric approach.  ...  For available deep learning frameworks, refer to Torch [72] , Caffe [43] , MXNet [44] , Theano [73] , and TensorFlow [45] .  ... 
doi:10.1002/9781119376996.ch6 fatcat:dw4rzuqeanbvxmaabtsgrid2ty

Transfer Learning Based Traffic Sign Recognition Using Inception-v3 Model

Chunmian Lin, Lin Li, Wenting Luo, Kelvin C. P. Wang, Jiangang Guo
2018 Periodica Polytechnica Transportation Engineering  
In this study, transfer learning-based method is introduced for traffic sign recognition and classification, which significantly reduces the amount of training data and alleviates computation expense using  ...  The results show that transfer learning model can achieve a high-level recognition performance in traffic sign recognition, which is up to 99.18 % of recognition accuracy at 0.05 learning rate (average  ...  Acknowledgements This work was supported by "Digital Fujian" Key Laboratory of Internet Things for Intelligent Transportation Technology, and funded by Chinese National Natural Fund for Young Scholars  ... 
doi:10.3311/pptr.11480 fatcat:vop3csztejhwpb7hj2qfj6lrdi

Privacy-Preserving Deep Inference for Rich User Data on The Cloud [article]

Seyed Ali Osia, Ali Shahin Shamsabadi, Ali Taheri, Kleomenis Katevas, Hamid R. Rabiee, Nicholas D. Lane, Hamed Haddadi
2017 arXiv   pre-print
In this paper, we present a hybrid approach for breaking down large, complex deep models for cooperative, privacy-preserving analytics.  ...  Deep neural networks are increasingly being used in a variety of machine learning applications applied to rich user data on the cloud.  ...  ACKNOWLEDGMENT We would like to thank Sina Sajadmanesh for his valuable comments and feedbacks.  ... 
arXiv:1710.01727v3 fatcat:q3tjyeptwvghrequjfae4dwb2y

A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics [article]

Seyed Ali Osia, Ali Shahin Shamsabadi, Sina Sajadmanesh, Ali Taheri, Kleomenis Katevas, Hamid R. Rabiee, Nicholas D. Lane, Hamed Haddadi
2019 arXiv   pre-print
In this paper, we present a hybrid approach for breaking down large, complex deep neural networks for cooperative, privacy-preserving analytics.  ...  Recently, advances in edge processing have paved the way for more efficient, and private, data processing at the source for simple tasks and lighter models, though they remain a challenge for larger, and  ...  Transfer Learning. The result of transfer learning for different embeddings on different intermediate layers for both gender classification and activity recognition tasks are presented in Fig 9.  ... 
arXiv:1703.02952v7 fatcat:due6wly2x5acnavtq22eqwfi6a

Image Analytics for Legal Document Review: A Transfer Learning Approach [article]

Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang
2019 arXiv   pre-print
We use transfer learning techniques to leverage established pretrained models for feature extraction and fine tuning.  ...  In this paper, we present several applications of deep learning in computer vision to Technology Assisted Review of image data in legal industry.  ...  In the following sections we will present, for each of the applications, the business cases, the pretrained models used, and the transfer learning approaches.  ... 
arXiv:1912.12169v1 fatcat:xvtk7jl7m5cq5k5q6c5eankxx4

GCCE 2020 Subject Index

2020 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE)  
T U V W Self-Attention Based Neural Network for Few Shot Classification Self-Attention Based Neural Network for Few Shot Classification Separation of Multiple Sound Sources in the Same Direction  ...  by Instantaneous Spectral Estimation Separation of Multiple Sound Sources in the Same Direction by Instantaneous Spectral Estimation Sequence-To-One Neural Networks for Japanese Dialect Speech Classification  ...  Suggestion in Transpiler for Rust Convert to RTL Approach of a Japanese Co-Occurrence Words Collection Method for Construction of Linked Open Data for COVID-19 Approach of a Japanese Co-Occurrence Words  ... 
doi:10.1109/gcce50665.2020.9291796 fatcat:bmnnn7xnxrefhaneq262fe4i6u

Detection of COVID-19 in Chest X-ray Images: A Big Data Enabled Deep Learning Approach

Mazhar Javed Awan, Muhammad Haseeb Bilal, Awais Yasin, Haitham Nobanee, Nabeel Sabir Khan, Azlan Mohd Zain
2021 International Journal of Environmental Research and Public Health  
In this paper, the Apache Spark system has been utilized as an extensive data framework and applied a Deep Transfer Learning (DTL) method using Convolutional Neural Network (CNN) three architectures —InceptionV3  ...  But in COVID/Normal/pneumonia, detection accuracy was 97 percent for the inceptionV3 model, 98.55 percent for the ResNet50 Model, and 98.55 percent for the VGG19 model, respectively.  ...  It can be easily used along with transfer learning for image classification. It has 16 layers.  ... 
doi:10.3390/ijerph181910147 pmid:34639450 fatcat:wc3vgctenzdlhl3rs5x4bsc73q
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