Relevant bibliographies by topics / Datasety

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Datasety'

Author: Grafiati
Published: 28 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Datasety"

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Almeida, Daniela, Dany Domínguez-Pérez, Ana Matos, et al. "Data Employed in the Construction of a Composite Protein Database for Proteogenomic Analyses of Cephalopods Salivary Apparatus." Data 5, no. 4 (2020): 110. http://dx.doi.org/10.3390/data5040110.

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Here we provide all datasets and details applied in the construction of a composite protein database required for the proteogenomic analyses of the article “Putative Antimicrobial Peptides of the Posterior Salivary Glands from the Cephalopod Octopus vulgaris Revealed by Exploring a Composite Protein Database”. All data, subdivided into six datasets, are deposited at the Mendeley Data repository as follows. Dataset_1 provides our composite database “All_Databases_5950827_sequences.fasta” derived from six smaller databases composed of (i) protein sequences retrieved from public databases related
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Haider, S. A., and N. S. Patil. "Minimization of Datasets : Using a Master Interlinked Dataset." Indian Journal of Computer Science 3, no. 5 (2018): 20. http://dx.doi.org/10.17010/ijcs/2018/v3/i5/138778.

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Feng, Eric, and Xijin Ge. "DataViz: visualization of high-dimensional data in virtual reality." F1000Research 7 (October 23, 2018): 1687. http://dx.doi.org/10.12688/f1000research.16453.1.

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Virtual reality (VR) simulations promote interactivity and immersion, and provide an opportunity that may help researchers gain insights from complex datasets. To explore the utility and potential of VR in graphically rendering large datasets, we have developed an application for immersive, 3-dimensional (3D) scatter plots. Developed using the Unity development environment, DataViz enables the visualization of high-dimensional data with the HTC Vive, a relatively inexpensive and modern virtual reality headset available to the general public. DataViz has the following features: (1) principal co
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Chang, Nai Chen, Elissa Aminoff, John Pyles, Michael Tarr, and Abhinav Gupta. "Scaling Up Neural Datasets: A public fMRI dataset of 5000 scenes." Journal of Vision 18, no. 10 (2018): 732. http://dx.doi.org/10.1167/18.10.732.

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Zhang, Yulian, and Shigeyuki Hamori. "Forecasting Crude Oil Market Crashes Using Machine Learning Technologies." Energies 13, no. 10 (2020): 2440. http://dx.doi.org/10.3390/en13102440.

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To the best of our knowledge, this study provides new insight into the forecasting of crude oil futures price crashes in America, employing a moving window. One is the fixed-length window and the other is the expanding-length window, which has never been reported in the past. We aimed to investigate if there is any difference when historical data are discarded. As the explanatory variables, we adapted 13 variables to obtain two datasets, 16 explanatory variables for Dataset1 and 121 explanatory variables for Dataset2. We try to observe results from the different-sized sets of explanatory varia
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Wang, Juan, Zhibin Zhang, and Yanjuan Li. "Constructing Phylogenetic Networks Based on the Isomorphism of Datasets." BioMed Research International 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/4236858.

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Constructing rooted phylogenetic networks from rooted phylogenetic trees has become an important problem in molecular evolution. So far, many methods have been presented in this area, in which most efficient methods are based on the incompatible graph, such as the CASS, the LNETWORK,and the BIMLR. This paper will research the commonness of the methods based on the incompatible graph, the relationship between incompatible graph and the phylogenetic network, and the topologies of incompatible graphs. We can find out all the simplest datasets for a topologyGand construct a network for every datas
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Xie, Yanqing, Zhengqiang Li, Weizhen Hou, et al. "Validation of FY-3D MERSI-2 Precipitable Water Vapor (PWV) Datasets Using Ground-Based PWV Data from AERONET." Remote Sensing 13, no. 16 (2021): 3246. http://dx.doi.org/10.3390/rs13163246.

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The medium resolution spectral imager-2 (MERSI-2) is one of the most important sensors onboard China’s latest polar-orbiting meteorological satellite, Fengyun-3D (FY-3D). The National Satellite Meteorological Center of China Meteorological Administration has developed four precipitable water vapor (PWV) datasets using five near-infrared bands of MERSI-2, including the P905 dataset, P936 dataset, P940 dataset and the fusion dataset of the above three datasets. For the convenience of users, we comprehensively evaluate the quality of these PWV datasets with the ground-based PWV data derived from
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Bahrami, Mostafa, Hossein Javadikia, and Ebrahim Ebrahimi. "APPLICATION OF PATTERN RECOGNITION TECHNIQUES FOR FAULT DETECTION OF CLUTCH RETAINER OF TRACTOR." Journal of Mechanical Engineering 47, no. 1 (2018): 31–36. http://dx.doi.org/10.3329/jme.v47i1.35356.

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This study develops a technique based on pattern recognition for fault diagnosis of clutch retainer mechanism of MF285 tractor using the neural network. In this technique, time features and frequency domain features consist of Fast Fourier Transform (FFT) phase angle and Power Spectral Density (PSD) proposes to improve diagnosis ability. Three different cases, such as: normal condition, bearing wears and shaft wears were applied for signal processing. The data divides in two parts; in part one 70% data are dataset1 and in part two 30% for dataset2.At first, the artificial neural networks (ANN)
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Bogaardt, Laurens, Romulo Goncalves, Raul Zurita-Milla, and Emma Izquierdo-Verdiguier. "Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets." ISPRS International Journal of Geo-Information 8, no. 2 (2019): 55. http://dx.doi.org/10.3390/ijgi8020055.

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The Singular Value Decomposition (SVD) is a mathematical procedure with multiple applications in the geosciences. For instance, it is used in dimensionality reduction and as a support operator for various analytical tasks applicable to spatio-temporal data. Performing SVD analyses on large datasets, however, can be computationally costly, time consuming, and sometimes practically infeasible. However, techniques exist to arrive at the same output, or at a close approximation, which requires far less effort. This article examines several such techniques in relation to the inherent scale of the s
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Yu, Ellen, Aparna Bhaskaran, Shang-Lin Chen, Zachary E. Ross, Egill Hauksson, and Robert W. Clayton. "Southern California Earthquake Data Now Available in the AWS Cloud." Seismological Research Letters 92, no. 5 (2021): 3238–47. http://dx.doi.org/10.1785/0220210039.

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Abstract The Southern California Earthquake Data Center is hosting its earthquake catalog and seismic waveform archive in the Amazon Web Services (AWS) Open Dataset Program (s3://scedc-pds; us-west-2 region). The cloud dataset’s high data availability and scalability facilitate research that uses large volumes of data and computationally intensive processing. We describe the data archive and our rationale for the formats and data organization. We provide two simple examples to show how storing the data in AWS Simple Storage Service can benefit the analysis of large datasets. We share usage sta
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Dissertations / Theses on the topic "Datasety"

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Zembjaková, Martina. "Prieskum a taxonómia sieťových forenzných nástrojov." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445488.

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Táto diplomová práca sa zaoberá prieskumom a taxonómiou sieťových forenzných nástrojov. Popisuje základné informácie o sieťovej forenznej analýze, vrátane procesných modelov, techník a zdrojov dát používaných pri forenznej analýze. Ďalej práca obsahuje prieskum existujúcich taxonómií sieťových forenzných nástrojov vrátane ich porovnania, na ktorý naväzuje prieskum sieťových forenzných nástrojov. Diskutované sieťové nástroje obsahujú okrem nástrojov spomenutých v prieskume taxonómií aj niektoré ďalšie sieťové nástroje. Následne sú v práci detailne popísané a porovnané datasety, ktoré sú podklad
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Kratochvíla, Lukáš. "Trasování objektu v reálném čase." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403748.

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Sledování obecného objektu na zařízení s omezenými prostředky v reálném čase je obtížné. Mnoho algoritmů věnujících se této problematice již existuje. V této práci se s nimi seznámíme. Různé přístupy k této problematice jsou diskutovány včetně hlubokého učení. Představeny jsou reprezentace objektu, datasety i metriky pro vyhodnocování. Mnoho sledovacích algorimů je představeno, osm z nich je implementováno a vyhodnoceno na VOT datasetu.
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Singh, Manjeet. "A Comparison of Rule Extraction Techniques with Emphasis on Heuristics for Imbalanced Datasets." Ohio University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1282139633.

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Silva, Jesús, Palma Hugo Hernández, Núẽz William Niebles, David Ovallos-Gazabon, and Noel Varela. "Parallel Algorithm for Reduction of Data Processing Time in Big Data." Institute of Physics Publishing, 2020. http://hdl.handle.net/10757/652134.

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Technological advances have allowed to collect and store large volumes of data over the years. Besides, it is significant that today's applications have high performance and can analyze these large datasets effectively. Today, it remains a challenge for data mining to make its algorithms and applications equally efficient in the need of increasing data size and dimensionality [1]. To achieve this goal, many applications rely on parallelism, because it is an area that allows the reduction of cost depending on the execution time of the algorithms because it takes advantage of the characteristics
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Munyombwe, Theresa. "The harmonisation of stroke datasets : a case study of four UK datasets." Thesis, University of Leeds, 2016. http://etheses.whiterose.ac.uk/13511/.

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Longitudinal studies of stroke patients play a critical part in developing stroke prognostic models. Stroke longitudinal studies are often limited by small sample sizes, poor recruitment, and high attrition levels. Some of these limitations can be addressed by harmonising and pooling data from existing studies. Thus this thesis evaluated the feasibility of harmonising and pooling secondary stroke datasets to investigate the factors associated with disability after stroke. Data from the Clinical Information Management System for Stroke study (n=312), Stroke Outcome Study 1(n=448), Stroke Outcom
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Furman, Yoel Avraham. "Forecasting with large datasets." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:69f2833b-cc53-457a-8426-37c06df85bc2.

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This thesis analyzes estimation methods and testing procedures for handling large data series. The first chapter introduces the use of the adaptive elastic net, and the penalized regression methods nested within it, for estimating sparse vector autoregressions. That chapter shows that under suitable conditions on the data generating process this estimation method satisfies an oracle property. Furthermore, it is shown that the bootstrap can be used to accurately conduct inference on the estimated parameters. These properties are used to show that structural VAR analysis can also be validly cond
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Mumtaz, Shahzad. "Visualisation of bioinformatics datasets." Thesis, Aston University, 2015. http://publications.aston.ac.uk/25261/.

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Analysing the molecular polymorphism and interactions of DNA, RNA and proteins is of fundamental importance in biology. Predicting functions of polymorphic molecules is important in order to design more effective medicines. Analysing major histocompatibility complex (MHC) polymorphism is important for mate choice, epitope-based vaccine design and transplantation rejection etc. Most of the existing exploratory approaches cannot analyse these datasets because of the large number of molecules with a high number of descriptors per molecule. This thesis develops novel methods for data projection in
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Mazumdar, Suvodeep. "Visualising large semantic datasets." Thesis, University of Sheffield, 2013. http://etheses.whiterose.ac.uk/5932/.

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This thesis aims at addressing a major issue in Semantic Web and organisational Knowledge Management: consuming large scale semantic data in a generic, scalable and pleasing manner. It proposes two solutions by de-constructing the issue into two sub problems: how can large semantic result sets be presented to users; and how can large semantic datasets be explored and queried. The first proposed solution is a dashboard-based multi-visualisation approach to present simultaneous views over different facets of the data. Challenges imposed by existing technology infrastructure resulted in the devel
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De, León Eduardo Enrique. "Medical abstract inference dataset." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/119516.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (page 35).<br>In this thesis, I built a dataset for predicting clinical outcomes from medical abstracts and their title. Medical Abstract Inference consists of 1,794 data points. Titles were filtered to include the abstract's repor
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Schöner, Holger. "Working with real world datasets preprocessing and prediction with large incomplete and heterogeneous datasets /." [S.l.] : [s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=973424672.

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Books on the topic "Datasety"

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1942-, Ullman Jeffrey D., ed. Mining of massive datasets. Cambridge University Press, 2012.

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Hutchinson, T. P. The datasets from CBDEA. Rumsby Scientific Publishing, 1993.

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Milanović, Branko. Dataset - racial tension, volume 6. World Bank, 2005.

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Quiñonero-Candela, Joaquin. Dataset shift in machine learning. MIT Press, 2009.

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Rymer, Thomas E. Data management for large volume datasets. s.n, 1986.

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Drechsler, Jörg. Synthetic Datasets for Statistical Disclosure Control. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0326-5.

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Ravindra Babu, T., M. Narasimha Murty, and S. V. Subrahmanya. Compression Schemes for Mining Large Datasets. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5607-9.

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Scanlon, S. The UK's networked dataset revolution continues. Library Information Technology Centre, 1993.

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Mayeul, Kauffmann, and North Atlantic Treaty Organization. Public Diplomacy Division., eds. Building and using datasets on armed conflicts. IOS Press, 2008.

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Johnson, Lisa Kaye. Computer analysis of remote sensing and geologic datasets. Washington State University Department of Geology, 1988.

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Book chapters on the topic "Datasety"

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Xing, Yujie, Itishree Mohallick, Jon Atle Gulla, Özlem Özgöbek, and Lemei Zhang. "An Educational News Dataset for Recommender Systems." In ECML PKDD 2020 Workshops. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65965-3_39.

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AbstractDatasets are an integral part of contemporary research on recommender systems. However, few datasets are available for conventional recommender systems and even very limited datasets are available when it comes to contextualized (time and location-dependent) News Recommender Systems. In this paper, we introduce an educational news dataset for recommender systems. This dataset is the refined version of the earlier published Adressa dataset and intends to support the university students in the educational purpose. We discuss the structure and purpose of the refined dataset in this paper.
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Klonovs, Juris, Mohammad A. Haque, Volker Krueger, et al. "Datasets." In Distributed Computing and Monitoring Technologies for Older Patients. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27024-1_5.

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Stowell, Sarah. "Datasets." In Using R for Statistics. Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0139-8_14.

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Ahmed, Mahmuda, Sophia Karagiorgou, Dieter Pfoser, and Carola Wenk. "Datasets." In Map Construction Algorithms. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25166-0_5.

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Luo, Ling. "Datasets." In Temporal Modelling of Customer Behaviour. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18289-2_2.

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Yu, Johan. "Dataset." In Getting Started with Salesforce Einstein Analytics. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5200-0_4.

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Frericks, Sebastian. "Dataset." In Downfall of Large German Listed Companies. Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-24999-1_3.

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Lantelme, Maximilian. "Dataset." In The Rise and Downfall of Germany’s Largest Family and Non-Family Businesses. Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-16169-9_4.

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Ahad, Md Atiqur Rahman. "Action Datasets." In Atlantis Ambient and Pervasive Intelligence. Atlantis Press, 2011. http://dx.doi.org/10.2991/978-94-91216-20-6_6.

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Al-Awadhi, Fahimah. "Simulated Datasets." In Encyclopedia of Social Network Analysis and Mining. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-6170-8_164.

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Conference papers on the topic "Datasety"

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Devi, M. S. Girija, and Manisha J. Nene. "Scarce Attack Datasets and Experimental Dataset Generation." In 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2018. http://dx.doi.org/10.1109/iceca.2018.8474612.

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Swayamdipta, Swabha, Roy Schwartz, Nicholas Lourie, et al. "Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics." In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.emnlp-main.746.

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Da Silva, Ronnypetson, Valter M. Filho, and Mario Souza. "Interaffection of Multiple Datasets with Neural Networks in Speech Emotion Recognition." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/eniac.2020.12141.

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Many works that apply Deep Neural Networks (DNNs) to Speech Emotion Recognition (SER) use single datasets or train and evaluate the models separately when using multiple datasets. Those datasets are constructed with specific guidelines and the subjective nature of the labels for SER makes it difficult to obtain robust and general models. We investigate how DNNs learn shared representations for different datasets in both multi-task and unified setups. We also analyse how each dataset benefits from others in different combinations of datasets and popular neural network architectures. We show tha
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Fregin, Andreas, Julian Muller, Ulrich Krebel, and Klaus Dietmayer. "The DriveU Traffic Light Dataset: Introduction and Comparison with Existing Datasets." In 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018. http://dx.doi.org/10.1109/icra.2018.8460737.

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"PUBMED DATASET: A JAVA LIBRARY FOR AUTOMATIC CONSTRUCTION OF EVALUATION DATASETS." In International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003797203430346.

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Noon, Christian, and Eliot Winer. "A Study of Different Metamodeling Techniques for Conceptual Design." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86496.

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Many high fidelity analysis tools including finite-element analysis and computational fluid dynamics have become an integral part of the design process. However, these tools were developed for detailed design and are inadequate for conceptual design due to complexity and turnaround time. With the development of more complex technologies and systems, decisions made earlier in the design process have become crucial to product success. Therefore, one possible alternative to high fidelity analysis tools for conceptual design is metamodeling. Metamodels generated upon high fidelity analysis dataset
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Soares, Álysson De Sá, Ricardo Batista Das Neves Junior, and Byron Leite Dantas Bezerra. "BID Dataset: a challenge dataset for document processing tasks." In Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/sibgrapi.est.2020.12997.

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The digital relationship between companies and customers happens through online systems where consumers must upload their identification documents pictures to prove their identities. The existence of this large volume of document images encourages the research development to generate image processing systems to automate tasks usually performed by humans, such as Document Type Classification and Document Reading. The lack of identification documents public datasets delays the research development in document image processing because researchers need to attempt partnerships with private or gover
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Chen, Zhanwen, Shiyao Li, Roxanne Rashedi, et al. "Characterizing Datasets for Social Visual Question Answering, and the New TinySocial Dataset." In 2020 Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). IEEE, 2020. http://dx.doi.org/10.1109/icdl-epirob48136.2020.9278057.

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Huy, Thach Nguyen, Sombut Foitong, Sornchai Udomthanapong, et al. "Effects of Distance between Classes and Training Dataset Size on Imbalance Datasets." In IAENG TRANSACTIONS ON ENGINEERING TECHNOLOGIES VOLUME I: Special Edition of the International MultiConference of Engineers and Computer Scientists 2008. AIP, 2009. http://dx.doi.org/10.1063/1.3078140.

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Xu, Marie-Anne, and Rahul Khanna. "Importance of the Single-Span Task Formulation to Extractive Question-answering." In 6th International Conference on Computer Science, Engineering And Applications (CSEA 2020). AIRCC Publishing Corporation, 2020. http://dx.doi.org/10.5121/csit.2020.101809.

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Recent progress in machine reading comprehension and question-answering has allowed machines to reach and even surpass human question-answering. However, the majority of these questions have only one answer, and more substantial testing on questions with multiple answers, or multi-span questions, has not yet been applied. Thus, we introduce a newly compiled dataset consisting of questions with multiple answers that originate from previously existing datasets. In addition, we run BERT-based models pre-trained for question-answering on our constructed dataset to evaluate their reading comprehens
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Reports on the topic "Datasety"

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Bishnu, Pariyar. Nepal Energy Gardens Qualitative Dataset and Quantitative Survey Dataset. University of Leeds. [Dataset]. Unknown, 2015. http://dx.doi.org/10.35648/20.500.12413/11781/ii112.

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Comin, Diego, and Bart Hobijn. The CHAT Dataset. National Bureau of Economic Research, 2009. http://dx.doi.org/10.3386/w15319.

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Woods, Ken. LiDAR Datasets of Alaska. DGGS, 2013. http://dx.doi.org/10.14509/lidar.

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Ringgaard, Ida M., Kristine S. Madsen, Felix Müller, Laura Tuomi, Laura Rautiainen, and Marcello Passaro. Baltic+ SEAL: Dataset Description. ESA EO, 2020. http://dx.doi.org/10.5270/esa.balticseal.ddv1.1.

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Weeding, Jennifer, and Mark Greenwood. Equine Glucose Data [dataset]. Montana State University ScholarWorks, 2016. http://dx.doi.org/10.15788/m2qp4r.

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Matey, James R., George W. Quinn, and Patrick J. Grother. IREX validation dataset 2019. National Institute of Standards and Technology, 2019. http://dx.doi.org/10.6028/nist.tn.2058.

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Fitzhugh, Elizabeth, Eric Smith, and Sharon Ellis. 3D Visualizations of Abstract DataSets. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada530801.

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Alawini, Abdussalam. Identifying Relationships between Scientific Datasets. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.2918.

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Yurivilca, Rossemary. IDBG Climate Finance 2017 Dataset. Inter-American Development Bank, 2019. http://dx.doi.org/10.18235/0001632.

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Ó Carragáin, Eoghan, Nuno Lopes, Rebecca Grant, and Catherine Ryan. Using the Linked Logainm dataset. Royal Irish Academy, 2013. http://dx.doi.org/10.3318/dri.loder.2013.3.

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You might also be interested in the extended bibliographies on the topic 'Datasety' for particular source types:
Journal articles Dissertations / Theses Books
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