Relevant bibliographies by topics / Sampling completeness

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Sampling completeness'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Sampling completeness"

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Koike, Ken-ichi, and Masafumi Akahira. "Completeness for sequential sampling plans." Sequential Analysis 12, no. 3-4 (1993): 211–18. http://dx.doi.org/10.1080/07474949308836280.

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Dammkoehler, R. A., S. F. Karasek, E. F. B. Shands, and G. R. Marshall. "Sampling conformational hyperspace: Techniques for improving completeness." Journal of Computer-Aided Molecular Design 9, no. 6 (1995): 491–99. http://dx.doi.org/10.1007/bf00124320.

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Kremers, Walter K. "Completeness and Unbiased Estimation for Sum—Quota Sampling." Journal of the American Statistical Association 81, no. 396 (1986): 1070–73. http://dx.doi.org/10.1080/01621459.1986.10478375.

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Kremers, Walter K. "Completeness and unbiased estimation in sequential multinomial sampling." Sequential Analysis 9, no. 1 (1990): 43–58. http://dx.doi.org/10.1080/07474949008836195.

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Kremers, Walter K. "Completeness and Unbiased Estimation for Sum-Quota Sampling." Journal of the American Statistical Association 81, no. 396 (1986): 1070. http://dx.doi.org/10.2307/2289085.

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Peters, Shanan E., and Noel A. Heim. "The geological completeness of paleontological sampling in North America." Paleobiology 36, no. 1 (2010): 61–79. http://dx.doi.org/10.1666/0094-8373-36.1.61.

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A growing body of work has quantitatively linked many macroevolutionary patterns, including short- and long-term changes in biodiversity, rates of taxonomic extinction and origination, and patterns of extinction selectivity, to temporal variability in the sedimentary rock record. Here we establish a new framework for more rigorously testing alternative hypotheses for these and many other results by documenting the large-scale spatiotemporal intersection of the North American sedimentary rock and fossil records. To do this, we combined 30,387 fossil collections in the spatially explicit Paleobi
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Lorentzen, David Gunnarsson, and Jan Nolin. "Approaching Completeness." Social Science Computer Review 35, no. 2 (2016): 277–86. http://dx.doi.org/10.1177/0894439315607018.

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The aim of this article is to engage with problems of sampling and completeness currently discussed within data science through the specific example of conversations in Twitter. Some of the difficulties involved in Twitter concern restrictions laid out by platform owners, restrictions that make it difficult for researchers to collect complete conversations. A contribution is made through the development of a method for collecting and analyzing follow-on conversations around a set of hashtags. This was made possible through the simultaneous tracking of a set of hashtags and prominent participan
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Jean, Béguinot. ""Pollard-walk" Butterfly Survey does not Warrant the Equity of Sampling-completeness among Butterfly Families: A Case Study with Tropical Butterfly Fauna in Bhutan." Journal of Applied Life Sciences International 12, no. 2 (2017): 1–12. https://doi.org/10.9734/JALSI/2017/34058.

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Complete or even sub-complete inventories of biodiversity often remain well out of reach, especially when dealing with speciose taxonomic groups, such as insects in general and butterfly fauna in particular. Moreover, it is even uncertain that similar completeness levels may be reached among taxonomic subsets within a same surveyed taxonomic group. For example, one can wonder whether sampling butterfly fauna according to the commonly implemented “Pollard walk” consistently ensure a similar recording efficiency (i.e. similar sampling completeness) according to the different butterfly families.
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Siahaan, Okta Vealina. "The Relationship Of The Completeness Of Filling In Medical Records With The Quality Of Medical Record Documents In Inpamentation Patients At Grandmed Lubuk Pakam Hospital In 2023." MEDISTRA MEDICAL JOURNAL (MMJ) 1, no. 1 (2023): 13–20. http://dx.doi.org/10.35451/mmj.v1i1.1947.

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Medical records are one of the important parts in shaping the implementation of service delivery to patients in hospitals. Completeness of filling out medical records that are accurate, complete, and timely is needed in health services to fulfill the requirements in medical record management. Completeness of filling out medical records with the quality of medical record documents has a very significant role where the higher the completeness of filling out medical records, he higher the quality of medical record documents. This study aims to determine the relationship between the completeness o
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Chacoff, Natacha P., Diego P. Vázquez, Silvia B. Lomáscolo, Erica L. Stevani, Jimena Dorado, and Benigno Padrón. "Evaluating sampling completeness in a desert plant-pollinator network." Journal of Animal Ecology 81, no. 1 (2011): 190–200. http://dx.doi.org/10.1111/j.1365-2656.2011.01883.x.

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Dissertations / Theses on the topic "Sampling completeness"

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Chang, Ting-Pei, and 張庭培. "Sampling Completeness and Image Quality Analysis of Single Photon Emission Microscope." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/rzz9v4.

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碩士<br>國立中央大學<br>光電科學與工程學系<br>106<br>Abstract In this thesis, we use the seven-pinhole single photon emission microscope system (SPEM), which is a version of single photon emission computed tomography (SPECT) system, to simulate the sampling completeness coefficient and analyze the image quality. In order to lessen the development cost, we simulated the system architecture to predict the results and make sure that the system works properly. In the simulation process, the Sampling Completeness Coefficient (SCC) is based on Tuy’s condition in a cone-beam CT system. We utilize it to evalua
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Huang, Wen-zheng, and 黃文正. "Helical Trajectory Design of Multi-Pinhole Micro-SPECT Based on Sampling Completeness." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/63667016177079527690.

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碩士<br>國立中央大學<br>光電科學與工程學系<br>103<br>In this study, a sampling completeness evaluation model for pinhole SPECT is proposed based on the Tuy’s condition in cone-beam CT: every plane intersected with the object space should also intersect the sampling orbit at least once. Since the sampling geometries are similar in cone-beam CT and pinhole SPECT, the focal point of cone-beam CT is substituted with the pinhole center of pinhole SPECT in the sampling completeness evaluation.The pitch limitation for helical trajectories in cone-beam CT is also modified to incorporate the magnification in pinhole SP
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Book chapters on the topic "Sampling completeness"

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Jerrum, Mark. "#P-completeness." In Counting, Sampling and Integrating: Algorithm and Complexity. Birkhäuser Basel, 2003. http://dx.doi.org/10.1007/978-3-0348-8005-3_2.

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Joshi, Keyur, Angelina Aziz, Philip Dietrich, and Markus König. "Efficient Data Curation Using Active Learning for a Video-Based Fire Detection." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.60.

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Video-based fire detection is a crucial object detection problem that relies on accurate and reliable data to detect fires. However, collecting and labeling fire-related data can be time-consuming and expensive, making it difficult to obtain sufficient data for training machine learning models. To address this challenge, uncertainty-based active learning techniques can be used to iteratively select the most informative samples for labeling. This can reduce the amount of labeled data needed to achieve high model performance and has the potential to even prune the training data with fewer inform
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Joshi, Keyur, Angelina Aziz, Philip Dietrich, and Markus König. "Efficient Data Curation Using Active Learning for a Video-Based Fire Detection." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.60.

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Video-based fire detection is a crucial object detection problem that relies on accurate and reliable data to detect fires. However, collecting and labeling fire-related data can be time-consuming and expensive, making it difficult to obtain sufficient data for training machine learning models. To address this challenge, uncertainty-based active learning techniques can be used to iteratively select the most informative samples for labeling. This can reduce the amount of labeled data needed to achieve high model performance and has the potential to even prune the training data with fewer inform
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Stribling, James, Susan Lanberg, Blaine Snyder, Jerry Diamond, Benjamin Jessup, and Hugh Sullivan. "Performance Measures for Evaluating and Communicating Data Quality in Aquatic Environmental Monitoring in the U.S." In Quality Control [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104837.

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Quantitative data quality descriptors are important for evaluating and communicating acceptability of information used in environmental monitoring and assessment. In this chapter, we present (1) the rationale for establishing and using performance measures and MQOs in routine quality control planning and analysis, (2) field and laboratory methods for capturing input data required for performance calculations, and (3) approaches for setting data acceptability thresholds and determining the need for corrective actions. Relevant examples are available from local, regional, and national programs i
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Settibathini, Venkata Surendra Kumar, Ankit Virmani, Manoj Kuppam, Nithya S., S. Manikandan, and Elayaraja C. "Shedding Light on Dataset Influence for More Transparent Machine Learning." In Explainable AI Applications for Human Behavior Analysis. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1355-8.ch003.

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From healthcare to banking, machine learning models are essential. However, their decision-making processes can be mysterious, challenging others who rely on their insights. The quality and kind of training and evaluation datasets determine these models' transparency and performance. This study examines how dataset factors affect machine learning model performance and interpretability. This study examines how data quality, biases, and volume affect model functionality across a variety of datasets. The authors find that dataset selection and treatment are crucial to transparent and accurate mac
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Cucchiarelli, Alessandro, Maurizo Panti, and Salvatore Valenti. "Web-Based Assessment in Student Learning." In Web-Based Learning and Teaching Technologies. IGI Global, 2000. http://dx.doi.org/10.4018/978-1-878289-60-5.ch011.

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Assessment is considered the central part of the educational process. At least five categories exist in which it is possible to classify the evaluation procedures which are singled-out by the common name of assessment: placement, formative, diagnostic and summative assessment (Airasian,1975; Gronlund,1985) and self-assessment. Placement assessment is concerned with the identification of students’ entry level for class enrollment and selection. Therefore, placement assessment is aimed at determining both prerequisite skills and mastery of course contents/objectives. Formative assessment is used
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Rivadeneira, Marcelo M., and Gary C. B. Poore. "Latitudinal Gradient of Diversity of Marine Crustaceans: TOWARDS a Synthesis." In Evolution and Biogeography. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190637842.003.0015.

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The latitudinal diversity gradient (LDG) is a phenomenon acknowledged for over two centuries. The LDG of marine crustaceans has been studied often but without reaching consensus on its ultimate causative processes. We have undertaken a new synthesis to assess the generality of the LDG and evaluated how potential sampling and other biases, spatial scale, geographic regions, taxonomic aggregation, and differences between clades affect patterns. A meta-analysis of 186 datasets, encompassing 20 studies and 7 crustacean orders, revealed a strong effect size of the species richness-latitude correlat
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Conference papers on the topic "Sampling completeness"

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Hagstrom, Shea, David Messinger, and Katie N. Salvaggio. "Estimating sampling completeness of lidar datasets using voxel-based geometry." In SPIE Defense + Security, edited by Monte D. Turner, Gary W. Kamerman, Linda M. Wasiczko Thomas, and Earl J. Spillar. SPIE, 2014. http://dx.doi.org/10.1117/12.2050552.

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Trampush, Sheila, and Elizabeth Hajek. "STRATIGRAPHIC COMPLETENESS, LANDSCAPE DYNAMICS, AND THE CHALLENGE OF DESIGNING AN EFFECTIVE SAMPLING STRATEGY." In GSA Annual Meeting in Phoenix, Arizona, USA - 2019. Geological Society of America, 2019. http://dx.doi.org/10.1130/abs/2019am-340677.

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Agha-mohammadi, Ali-akbar, Suman Chakravorty, and Nancy M. Amato. "On the probabilistic completeness of the sampling-based feedback motion planners in belief space." In 2012 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2012. http://dx.doi.org/10.1109/icra.2012.6225062.

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Dai, Tiantian, Tianyu Ma, Qingyang Wei, et al. "Design and sampling completeness evaluation of scanning orbits in multi-pinhole small animal SPECT imaging." In 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (2011 NSS/MIC). IEEE, 2011. http://dx.doi.org/10.1109/nssmic.2011.6152500.

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Ulfah, Maharani, Supriyadi Hari Respati, and Bhisma Murti. "Determinants of Immunization Completeness of Infant in Karanganyar, District, Central Java." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.03.115.

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ABSTRACT Background: Indonesia launched the Expanded Program for Immunization (EPI) in 1977. However, immunization coverage remains far below the United Nations International Children’s Emergency Fund (UNICEF) and World Health Organization (WHO) target of 80%. The purpose of this study was to investigate determinants of immunization completeness of infant in Karanganyar, District, Central Java. Subjects and Method: A cross sectional study was carried out at 21 community health centers in Karanganyar, Central Java, from January to March 2020. A sample of 200 mothers who had children adged 12-23
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Chen, Guang-Hong, Jeffrey H. Siewerdsen, Shuai Leng, et al. "Guidance for cone-beam CT design: tradeoff between view sampling rate and completeness of scanning trajectories." In Medical Imaging, edited by Michael J. Flynn and Jiang Hsieh. SPIE, 2006. http://dx.doi.org/10.1117/12.653174.

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Prabowo, Puspita Mayangsari, Setyo Sri Rahardjo, and Eti Poncorini Pamungkasari. "Application of Social Cognitive Theory On Factors Affecting Completeness of Child Immunization: Evidence from Pacitan, East Java." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.03.118.

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ABSTRACT Background: Every infant is required to receive complete basic immunization before the age of one year. According to UNICEF, around 19.4 million infants do not receive complete basic immunization. The purpose of this study was to examine factors affecting completeness of child immunization using Social Cognitive Theory. Subjects and Method: A cross sectional study was carried out at 25 integrated health posts (posyandu) in Pacitan, East Java, Indonesia. A sample of 200 infants aged 12-23 months was selected by simple random sampling. The dependent variable was basic immunization compl
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Wiesbrock, Hans Werner, and Jürgen Grossmann. "Probabilistically Extended Ontologies: A Basis for Systematic Testing of ML-Based Systems." In 2024 Stuttgart International Symposium. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-3002.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Typically, machine learning techniques are used to realise autonomous driving. Be it as part of environment recognition or ultimately when making driving decisions. Machine learning generally involves the use of stochastic methods to provide statistical inference. Failures and wrong decisions are unavoidable due to the statistical nature of machine learning and are often directly related to root causes that cannot be easily eliminated. The quality of these systems is normally indicated by statistical indicators such as a
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Evans, Ethan N., Patrick Meyer, Samuel Seifert, Dimitri N. Mavris, and Evangelos A. Theodorou. "Locally Adaptive Online Trajectory Optimization in Unknown Environments With RRTs." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-8997.

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Rapidly Exploring Random Trees (RRTs) have gained significant attention due to provable properties such as completeness and asymptotic optimality. However, offline methods are only useful when the entire problem landscape is known a priori. Furthermore, many real world applications have problem scopes that are orders of magnitude larger than typical mazes and bug traps that require large numbers of samples to match typical sample densities, resulting in high computational effort for reasonably low-cost trajectories. In this paper we propose an online trajectory optimization algorithm for uncer
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Steinfort, D., J. M. Watson, G. Kothari, et al. "Impact of Synoptic Reporting on Completeness of Systematic Endoscopic Lymph Node Sampling in Non-small Cell Lung Cancer Patients: A Post-hoc Analysis From the SEISMIC Study." In American Thoracic Society 2024 International Conference, May 17-22, 2024 - San Diego, CA. American Thoracic Society, 2024. http://dx.doi.org/10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a1284.

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