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Evaluation and Construction of College Students' Growth and Development Index System Based on Data Association Mining and Deep Learning Model

Yanjie Li, He Mao, Jian Su
2021 Security and Communication Networks  
The establishment of a personalized student management mode based on big data in universities will promote the change of personalized student management from the empirical mode to the scientific mode,  ...  The experiment demonstrates that Vanilla F-BERT outperformed the two Vanilla BERT-based models, Vanilla BERT and BERT tasks, by 0.0.6 and 0.03 percent, respectively, in terms of accuracy.  ...  All actors in higher education are generating dynamic data.  ... 
doi:10.1155/2021/7415129 fatcat:fdz36kkeurbstktymfm325loxe

Deep Learning-Based Knowledge Graph Generation for COVID-19

Taejin Kim, Yeoil Yun, Namgyu Kim
2021 Sustainability  
The proposed method obtains knowledge from a vast amount of text documents about COVID-19 rather than a general knowledge base and add this to the existing knowledge graph.  ...  Next, we constructed a COVID-19 perspective language model by fine-tuning the bidirectional encoder representations from transformer (BERT) pre-trained language model.  ...  This is the result of a comparative experiment between the Co-BERT(Vanilla) and Co-BERT(Bio) models for scientific papers.  ... 
doi:10.3390/su13042276 fatcat:h3ubxdey6rdejmnpapsqwrvv6m

Migrating business logic to an incremental computing DSL: a case study

Daco C. Harkes, Elmer van Chastelet, Eelco Visser
2018 Proceedings of the 11th ACM SIGPLAN International Conference on Software Language Engineering - SLE 2018  
The effort spent on modeling business logic is reduced, but integrating that logic in the application and tuning performance takes considerable effort.  ...  To provide empirical evidence to what extent migration of business logic to an incremental computing language (ICL) is useful, we report on a case study on a learning management system.  ...  IceDust uses static dependency tracking so that for each page request only the relevant data needs to be loaded in memory (dynamic approaches require all data in memory or persistence of the dynamic dependency  ... 
doi:10.1145/3276604.3276617 dblp:conf/sle/HarkesCV18 fatcat:6sevikpouffy3p2ehixl2tbjty

Hybrid Resource Management for HPC and Data Intensive Workloads

Abel Souza, Mohamad Rezaei, Erwin Laure, Johan Tordsson
2019 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)  
High Performance Computing (HPC) and Data Intensive (DI) workloads have been executed on separate clusters using different tools for resource and application management.  ...  While HPC systems are typically managed in a coarse grained fashion, with exclusive resource allocations, DI systems employ a finer grained regime, enabling dynamic allocation and control based on application  ...  In addition, this work was partially supported by the Swedish Research Council (VR) for the projects "Cloud Control" and by the Brazilian National Council for Scientific and Technological Development (  ... 
doi:10.1109/ccgrid.2019.00054 dblp:conf/ccgrid/SouzaRLT19 fatcat:vgw6xru7fnhszpysonfkucoohi

Executing Provenance-Enabled Queries over Web Data

Marcin Wylot, Philippe Cudre-Mauroux, Paul Groth
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15  
The proliferation of heterogeneous Linked Data on the Web poses new challenges to database systems.  ...  In particular, because of this heterogeneity, the capacity to store, track, and query provenance data is becoming a pivotal feature of modern triple stores.  ...  Dynamic Query Execution: Dynamic query execution has been studied in different contexts by database researchers.  ... 
doi:10.1145/2736277.2741143 dblp:conf/www/WylotCG15 fatcat:rtxdqidbo5di7aaqd26hofkdmy

Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams [article]

Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak
2017 arXiv   pre-print
Specifically, we propose a dynamic graph-generation network that is based on dynamic memory and graph theory.  ...  To tackle this problem, we propose a unified diagram-parsing network for generating knowledge from diagrams based on an object detector and a recurrent neural network designed for a graphical structure  ...  Since generating a graph should involve in dynamic establishment or removal of edges between nodes, we also adopt RNN for DGGN as most neural-network-based methods for a graph.  ... 
arXiv:1711.09528v1 fatcat:odt4vse6ozfbjkaq2362hf74e4

Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams

Daesik Kim, YoungJoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
Specifically, we propose a dynamic graph-generation network that is based on dynamic memory and graph theory.  ...  To tackle this problem, we propose a unified diagram-parsing network for generating knowledge from diagrams based on an object detector and a recurrent neural network designed for a graphical structure  ...  Since generating a graph should involve in dynamic establishment or removal of edges between nodes, we also adopt RNN for DGGN as most neural-network-based methods for a graph.  ... 
doi:10.1109/cvpr.2018.00438 dblp:conf/cvpr/KimYKLK18 fatcat:j5gyp63swzf35aclv2dtxzv4i4

3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation [article]

Stylianos Moschoglou, Stylianos Ploumpis, Mihalis Nicolaou, Athanasios Papaioannou, Stefanos Zafeiriou
2019 arXiv   pre-print
This can be primarily attributed to two facts, namely that (a) publicly available 3D face databases are scarce as well as limited in terms of sample size and variability (e.g., few subjects, little diversity  ...  in race and gender), and (b) mesh convolutions for deep networks present several challenges that are not entirely tackled in the literature, leading to operator approximations and model instability, often  ...  models for each label, i.e., a model for expression happiness and a model for expression surprise.  ... 
arXiv:1905.00307v2 fatcat:5ggbmjhecrg2xazlupqbnx62ym

Comparison and integration of analytical methods for the characterization of vanilla chemistry

Stephen J. Toth
2012
There is a need for an analytical method to establish a universal criterion for quality of cured vanilla bean. The chemistry of vanilla, one the world's most popular flavors is extremely complex.  ...  A series of headspace concentration techniques including solid phase microextraction (SPME), headspace sorptive extraction (HSSE) and dynamic headspace were used to pinpoint a common sour, fermented off-odor  ...  A generic paper clip was used as a hanger for the stir bar using its magnetic properties.  ... 
doi:10.7282/t3jq1014 fatcat:5fqv3k4v7bfifb7yuhzymxtida

TripleProv

Marcin Wylot, Philippe Cudre-Mauroux, Paul Groth
2014 Proceedings of the 23rd international conference on World wide web - WWW '14  
TripleProv implements two different storage models to physically co-locate lineage and instance data, and for each of them implements algorithms for tracing provenance at two granularity levels.  ...  Given the heterogeneity of the data one can find on the Linked Data cloud, being able to trace back the provenance of query results is rapidly becoming a must-have feature of RDF systems.  ...  [18] describes a number of use cases where storage and querying of provenance data generated by a database system could be useful. We revisit some of these here.  ... 
doi:10.1145/2566486.2568014 dblp:conf/www/WylotCG14 fatcat:ebwqo4kwvve43fmuc3ngr23e7q

An efficient human resource management system model using web-based hybrid technique

Sania Khan
2022 Problems and Perspectives in Management  
For this, the study used a set of various software tools for web pages and database designing, including for the alteration of images.  ...  The hybrid model was executed using real-time data of 250 resumes, which were collected through an online database to validate the overall performance of the developed web-based system in terms of its  ...  This corresponds to the generalized logistic model.  ... 
doi:10.21511/ppm.20(2).2022.18 fatcat:u6utgg47drdndjed4ourukbegi

3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation

Stylianos Moschoglou, Stylianos Ploumpis, Mihalis A. Nicolaou, Athanasios Papaioannou, Stefanos Zafeiriou
2020 International Journal of Computer Vision  
This can be primarily attributed to two facts, namely that (a) publicly available 3D face databases are scarce as well as limited in terms of sample size and variability (e.g., few subjects, little diversity  ...  in race and gender), and (b) mesh convolutions for deep networks present several challenges that are not entirely tackled in the literature, leading to operator approximations and model instability, often  ...  To view a copy of this licence, visit http://creativecomm ons.org/licenses/by/4.0/.  ... 
doi:10.1007/s11263-020-01329-8 fatcat:espnqtcoevcenbuinr7kmd3qqi

PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs [article]

Wei Chen, Faez Ahmed
2021 arXiv   pre-print
Deep generative models are proven to be a useful tool for automatic design synthesis and design space exploration.  ...  In comparison to a vanilla Generative Adversarial Network, on average, it generates samples with a 28% higher mean quality score with larger diversity and without the mode collapse issue.  ...  In Fig. 4 , the generative distribution learned by a vanilla GAN fails to cover the entire training data (non-uniform contours).  ... 
arXiv:2002.11304v5 fatcat:vmvlyck5sfbunkctkq4pgqogpu

CIMI: Classify and Itemize Medical Image System for PFT Big Data Based on Deep Learning

Tong Min Kim, Seo-Joon Lee, Hwa Young Lee, Dong-Jin Chang, Chang Ii Yoon, In-Young Choi, Kun-Ho Yoon
2020 Applied Sciences  
A total of 70 randomly selected sheets (ten sheets from each type) and 33,550 texts were used for the validation.  ...  them in the PFT database and Excel files.  ...  These types generally showed lower accuracy than other types; for example, CIMI with a standard of 80%.  ... 
doi:10.3390/app10238575 fatcat:cx6llylx75ccnkyitv6tge5424

Towards agile large-scale predictive modelling in drug discovery with flow-based programming design principles

Samuel Lampa, Jonathan Alvarsson, Ola Spjuth
2016 Journal of Cheminformatics  
We also discuss the experiences from using the approach when modelling a large set of biochemical interactions using a shared computer cluster.  ...  With largescale data or when using computationally demanding modelling methods, e-infrastructures such as high-performance or cloud computing are required, adding to the existing challenges of fault-tolerant  ...  Availability of data and materials The SciLuigi library is available at http://github.com/pharmbio/sciluigi.  ... 
doi:10.1186/s13321-016-0179-6 pmid:27942268 pmcid:PMC5123367 fatcat:czgz5plt2nhxbbuf2snowyajbu
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