Literatura académica sobre el tema "Quality scoring"
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Artículos de revistas sobre el tema "Quality scoring"
Neumeyer, Leonardo, Horacio Franco, Vassilios Digalakis y Mitchel Weintraub. "Automatic scoring of pronunciation quality". Speech Communication 30, n.º 2-3 (febrero de 2000): 83–93. http://dx.doi.org/10.1016/s0167-6393(99)00046-1.
Texto completoSolow, Andrew R. y Arthur G. Gaines. "Mapping water quality by local scoring". Canadian Journal of Statistics 21, n.º 2 (junio de 1993): 123–30. http://dx.doi.org/10.2307/3315805.
Texto completoDing, Y. y P. F. White. "Simplified quality of anaesthesia scoring system". Anaesthesia 47, n.º 10 (octubre de 1992): 906–7. http://dx.doi.org/10.1111/j.1365-2044.1992.tb03166.x.
Texto completoIdczak, Adam Piotr. "Remarks on Statistical Measures for Assessing Quality of Scoring Models". Acta Universitatis Lodziensis. Folia Oeconomica 4, n.º 343 (13 de septiembre de 2019): 21–38. http://dx.doi.org/10.18778/0208-6018.343.02.
Texto completoHATAE, Keiko, Rieko YOSHIMURA, Atsuko SHIMADA y Satomi SUGIYAMA. "Objective Scoring Method for Grilled Fish Quality." NIPPON SHOKUHIN KAGAKU KOGAKU KAISHI 43, n.º 12 (1996): 1314–22. http://dx.doi.org/10.3136/nskkk.43.1314.
Texto completoCappiello, C., C. Cerletti, C. Fratto y B. Pernici. "Validating Data Quality Actions in Scoring Processes". Journal of Data and Information Quality 9, n.º 2 (22 de enero de 2018): 1–27. http://dx.doi.org/10.1145/3141248.
Texto completoZhang, Junbo, Puping Pan y Yonghong Yan. "Automatic Scoring on English Passage Reading Quality". Procedia Engineering 29 (2012): 2744–48. http://dx.doi.org/10.1016/j.proeng.2012.01.383.
Texto completoRicart, Glenn, Abiodun T. Atoloye, Carrie M. Durward y Patricia M. Guenther. "New Exponential Scoring Functions for Diet Quality Indexes Solve Problems Caused by Truncation". Journal of Nutrition 152, n.º 4 (27 de diciembre de 2021): 1168–73. http://dx.doi.org/10.1093/jn/nxab431.
Texto completoHan, Chao y Xiaolei Lu. "Interpreting quality assessment re-imagined: The synergy between human and machine scoring". Interpreting and Society 1, n.º 1 (septiembre de 2021): 70–90. http://dx.doi.org/10.1177/27523810211033670.
Texto completoTiemensma, Jitske, Sarah Depaoli y John M. Felt. "Using subscales when scoring the Cushing's quality of life questionnaire". European Journal of Endocrinology 174, n.º 1 (enero de 2016): 33–40. http://dx.doi.org/10.1530/eje-15-0640.
Texto completoTesis sobre el tema "Quality scoring"
Lenart, Marcin. "Sensor information scoring for decision-aid systems in railway domain". Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS157.
Texto completoIn this thesis, the problem of assessing information quality produced by sensors is investigated. Indeed, sensors, usually used in networks, do not always provide correct information and the scoring of this information is needed. An approach is proposed that deals with some of the major limitations in the literature by providing a model designed to be sensor-generic, not dependent on ground truth and dependent only on easy-to-access meta-information, exploiting only attributes shared among the majority of sensors. The proposed model is called ReCLiC from the four dimensions that it considers: Reliability, Competence, Likelihood and Credibility. The thesis discusses in depth the requirements of these dimensions and proposes motivated definitions for each of them. Furthermore, it proposes an implementation of the generic ReCLiC definition to a real case, for a specific sensor in the railway signalling domain: the form of the four dimensions for this case is discussed and a formal and experimental study of the information scoring behaviour is performed, analysing each dimension separately. The proposed implementation of the ReCLiC model is experimentally validated using realistic simulated data, based on an experimental protocol that allows to control various quality issues as well as their quantity, Finally, the ReCLiC model is used to analyse a real datasetapplying a new visualisation method that, in addition, allows to study the notion of trust dynamic
Sarris, Ippokratis. "Creation of a new fetal biometry image quality scoring tool to improve the accuracy of fetal biometric measurements". Thesis, University of Oxford, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.595667.
Texto completoDallas, Helen Fiona. "An evaluation of SASS (South African scoring system) as a tool for the rapid bioassessment of water quality". Master's thesis, University of Cape Town, 1995. http://hdl.handle.net/11427/21180.
Texto completoThe South African Scoring System (SASS) is a rapid bioassessment technique based on one component of riverine biotas, the benthic macroinvertebrates. Each taxon is assigned a tolerance/sensitivity score, which are summed to provide a Total Score. The Average Score per Taxon (ASPT) is calculated by dividing this Total Score by the number of taxa. This study was undertaken to evaluate the SASS technique as a tool for the assessment of water quality. Three study-sites, which differed in water quality, in the south-western Cape were selected for a detailed investigation into sample variability and replication of two methods of biological assessment, namely quantitative box-sampling and SASS. The ability of each method to differentiate between these sites was determined. The more general application of SASS in the south-western Cape was examined at forty nine sites and potential problems associated with SASS, namely biotope availability, temporal variability and longitudinal changes were investigated. A minimum of twelve and four quantitative samples is needed to ensure collection of 95% or 75% of benthic macroinvertebrate taxa respectively. Sampling within a single biotope component, such as a "riffle" or "run" would reduce the number of samples needed. A minimum of four and two SASS samples is needed to ensure collection of 95% or 75% of the taxa respectively. This technique is however designed such that only one sample is taken per site. The Total Score that one sample would produce as a percentage of the Total Score from 20 samples, were 28% , 59% and 45% for Sites 1, 2 and 3 respectively. Total Score increases with increasing sampling effort, whilst ASPT is relatively unaffected by sampling effort. ASPT should therefore be used in interpretation of scores. Variability, as determined by both quantitative sampling and rapid bioassessment, was greatest at the least impacted site. Such sites should be more intensively sampled, either by increasing the number of box- samples taken, or by increasing the time period for SASS sampling.
Plunkett, Brandi Lyn. "Estimating third -party examiners' scoring stability on selected applications to the Texas Award for Performance Excellence". Texas A&M University, 2006. http://hdl.handle.net/1969.1/4785.
Texto completoSugiura, Taichi, Midori Asano, Kiyomi Miura, Ayako Ishiguro y Shinpei Torii. "Development of the Revised Final Version of the Quality of Life of Japanese School Aged Children with Asthma Questionnaire : The Characteristics of the Low QOL Scoring Group and Development of an Evaluation Form". Japanese Society of Allergology, 2005. http://hdl.handle.net/2237/7105.
Texto completoMiller, Donna Marie. "Establishing Inter Rater Reliability of the National Early Warning Score". Walsh University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=walsh1429472548.
Texto completoTudevdagva, Uranchimeg y Wolfram Hardt. "A new evaluation model for e-learning programs". Universitätsbibliothek Chemnitz, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-79228.
Texto completoKroužková, Michaela. "Hodnocení rizik při financování retailové bankovní klientely". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224628.
Texto completoMwangi, François Ngera. "Land use practices and their impact on the water quality of the Upper Kuils River (Western Cape Province, South Africa)". Thesis, University of Western Cape, 2014. http://hdl.handle.net/11394/3366.
Texto completoThe water quality in many Cape Town Rivers and streams is a major challenge. Kuils River is subject to multiple land use impacts from upstream to downstream because of rapid urbanization in its catchment area. The main pollution sources are urban and industrial, organic matter from litter under the road-bridge, and golf course. However no systematic efforts have been made to evaluate and improve the health of the river in term of management. To assess impacts on water quality, this study was conducted from 4th September to 27th November 2012 in 5 selected sites in the upper reach of the Kuils river. The main aim was to compare the health of the river in 2012 with that found in 2005 using physical and chemical characteristics and the South Africa Scoring System (SASS). The statistical analysis showed a significant difference between and within sites. The water temperature, pH, dissolved oxygen concentration, total dissolved solids (TDS), and salinity were collected in situ by YSI 30 meter. To evaluate nutrient (nitrate and phosphorus) concentrations water samples were analyzed at UWC laboratory using spectrophotometer. In addition human activities, basic conditions (7.13 to 8.76), high total dissolved solids (416 to to 916.5 mg L¯¹) and salinity (0.31 to 0.71 mg L¯¹) concentrations were influenced by Malmesbury shales. Nitrate (0.1 to 3.1 mg L¯¹) and phosphorus (0.11 to 5.27 mg L¯¹) concentrations and the decrease in dissolved oxygen in November 2012 showed eutrophic conditions of the river. In the tributary site phosphorus (1.32 to 3.62 mg L¯¹) concentrations revealed hypertrophic condition compared to South Africa guideline. Macroinvertebrates sampled showed a total of 28 taxa grouped in 11 orders were sampled. Poor habitat diversity and water quality degradation were principal causes of low species diversity. The South Africa Score System version 5 (SASS5) and Average Score per Taxon (ASPT) indicated that the river is seriously impacted in 2012 compared to 2005 where water quality was in poor condition. The SASS and the ASPT scores were less than 50 and 4.2 at all sampling sites in most part of sampling period.
Farooqi, Owais Ehtisham. "An Assessment and Modeling of Copper Plumbing pipe Failures due to Pinhole Leaks". Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/33918.
Texto completoMaster of Science
Libros sobre el tema "Quality scoring"
Company, Ford Motor. The quality system survey and scoring guidelines. Dearborn: Ford, 1990.
Buscar texto completoHospital accreditation program scoring guidelines. Chicago, Ill: Joint Commission on Accreditation of Hospitals, 1987.
Buscar texto completoJoint Commission on Accreditation of Hospitals. Hospital accreditation program scoring guidelines: Medical staff standards. Chicago, Ill: Joint Commission on Accreditation of Hospitals, 1986.
Buscar texto completoFederal Quality Institute (U.S.), ed. Criteria and scoring guidelines: The President's Award for Quality and Productivity Improvement. [Washington, D.C.?]: U.S. Office of Personnel Management, Federal Quality Institute, 1990.
Buscar texto completoHospital accreditation program scoring guidelines: Pathology & medical laboratory services standards. Chicago, Ill: Joint Commission on Accreditation of Hospitals, 1987.
Buscar texto completoVickrey, Barbara G. Qolie 89: Quality of life in epilepsy Qolie-89 : scoring manual and patient inventory. Santa Monica, CA: RAND, 1993.
Buscar texto completoD, Hays Ron y Rand Corporation, eds. Kidney disease quality of life short form (KDQOL-SF [superscript] tm), Version 1.2: A manual for use and scoring. Santa Monica, CA: RAND, 1996.
Buscar texto completoD, Hays Ron y Rand Corporation, eds. Kidney disease quality of life short form (KDQOL-SF [superscript] tm), Version 1.3: A manual for use and scoring. Santa Monica, Calif: RAND, 1997.
Buscar texto completoExcellence in higher education: An integrated approach to assessment, planning, and improvement in colleges and universities : workbook and scoring instructions. Washington, D.C: National Association of College and University Business Officers, 2005.
Buscar texto completoNational Association of College and University Business Officers, ed. Excellence in higher education workbook and scoring guide: An integrated approach to assessment, planning and improvement in colleges and universities. 2a ed. Washington, DC: NACUBO, 2009.
Buscar texto completoCapítulos de libros sobre el tema "Quality scoring"
Wu, Chia-Huei y Grace Yao. "Scoring Weights". En Encyclopedia of Quality of Life and Well-Being Research, 5729–31. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_2611.
Texto completoWu, Chia-Huei y Grace Yao. "Scoring Weights". En Encyclopedia of Quality of Life and Well-Being Research, 1–3. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-69909-7_2611-2.
Texto completoWu, Chia-Huei y Grace Yao. "Scoring Weights". En Encyclopedia of Quality of Life and Well-Being Research, 6202–4. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17299-1_2611.
Texto completoDastidar, Krishnendu Ghosh. "On Some Aspects of Scoring Auctions". En Oligopoly, Auctions and Market Quality, 113–54. Tokyo: Springer Japan, 2017. http://dx.doi.org/10.1007/978-4-431-55396-0_4.
Texto completoBlankenburg, Hagen y Mario Albrecht. "PSISCORE (Quality Scoring of Protein Interactions)". En Encyclopedia of Systems Biology, 1801–2. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1464.
Texto completoSharma, Ram Prakash y Somnath Dey. "Fingerprint Image Quality Assessment and Scoring". En Mining Intelligence and Knowledge Exploration, 156–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71928-3_16.
Texto completoZhang, Junbo, Fuping Pan y Yongyong Yan. "Automatic Scoring on English Passage Reading Quality". En Lecture Notes in Computer Science, 18–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31020-1_3.
Texto completoSharma, Ruchi y R. K. Singh. "An Improved Scoring System for Software Vulnerability Prioritization". En Quality, IT and Business Operations, 33–43. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5577-5_3.
Texto completoLewis-Jones, M. Susan y Carolyn R. Charman. "Atopic Dermatitis: Scoring Severity and Quality of Life Assessment". En Harper's Textbook of Pediatric Dermatology, 29.1–29.16. Oxford, UK: Wiley-Blackwell, 2011. http://dx.doi.org/10.1002/9781444345384.ch29.
Texto completoZhang, Long, Haifeng Li y Jianhua Wang. "Pronunciation Quality Scoring for Single Syllable Word in PSC". En Advances in Intelligent and Soft Computing, 313–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27866-2_38.
Texto completoActas de conferencias sobre el tema "Quality scoring"
Gadepalli, Chaitanya, Farideh Jalalinajafabadi, Zheng Xie, Barry M. G. Cheetham y Jarrod J. Homer. "Voice Quality Assessment by Simulating GRBAS Scoring". En 2017 UKSim-AMSS 11th European Modelling Symposium (EMS). IEEE, 2017. http://dx.doi.org/10.1109/ems.2017.29.
Texto completoDong, Bin, Fengpei Ge, Fuping Pan y Shui-duen Chan. "Automatic Scoring of Pronunciation Quality with Hybrid Measure". En 2009 International Conference on Artificial Intelligence and Computational Intelligence. IEEE, 2009. http://dx.doi.org/10.1109/aici.2009.404.
Texto completoEl Kabir, Taoufik, Benjamin Bringier, Majdi Khoudeir, Jean claude Lecron, Franck Morel y Jean françois Jegou. "Non invasive control and scoring of psoriasis severity". En Fifteenth International Conference on Quality Control by Artificial Vision, editado por Christophe Cudel, Stéphane Bazeille y Nicolas Verrier. SPIE, 2019. http://dx.doi.org/10.1117/12.2520690.
Texto completoKoolyk, Aaron, Tyrone Strangway, Omer Lev y Jeffrey S. Rosenschein. "Convergence and Quality of Iterative Voting Under Non-Scoring Rules". En Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/39.
Texto completoOrzhenovskii, Mikhail. "RuSimScore: unsupervised scoring function for Russian sentence simplification quality". En Computational Linguistics and Intellectual Technologies. Russian State University for the Humanities, 2021. http://dx.doi.org/10.28995/2075-7182-2021-20-524-532.
Texto completoZhang, Junbo, Hemin Wu y Yonghong Yan. "Tone pronunciation quality scoring of Mandarin multi-syllable words". En 2010 10th International Conference on Signal Processing (ICSP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icosp.2010.5656359.
Texto completoLiu, Xinyu, Xiaoqian Liu, Bin Wang, Xin Luo y Xinshun Xu. "Arbitrary-Shaped Scene Text Detection with Scoring Mask Quality". En 2022 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2022. http://dx.doi.org/10.1109/icme52920.2022.9859805.
Texto completoElouataoui, Widad, Saida El Mendili y Youssef Gahi. "Big Data Quality Anomaly Scoring Framework Using Artificial Intelligence". En 2023 7th IEEE Congress on Information Science and Technology (CiSt). IEEE, 2023. http://dx.doi.org/10.1109/cist56084.2023.10409909.
Texto completoJain, Priyesh, Sunita Sarawagi y Tushar Tomar. "Quality Scoring of Source Words in Neural Translation Models". En Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.emnlp-main.732.
Texto completoJones, Douglas A. y Gregory M. Rusk. "Toward a scoring function for quality-driven machine translation". En the 18th conference. Morristown, NJ, USA: Association for Computational Linguistics, 2000. http://dx.doi.org/10.3115/990820.990875.
Texto completoInformes sobre el tema "Quality scoring"
Yaroshchuk, Svitlana O., Nonna N. Shapovalova, Andrii M. Striuk, Olena H. Rybalchenko, Iryna O. Dotsenko y Svitlana V. Bilashenko. Credit scoring model for microfinance organizations. [б. в.], febrero de 2020. http://dx.doi.org/10.31812/123456789/3683.
Texto completoAraujo, María Caridad, Yyannu Cruz-Aguayo, Pedro Carneiro y Norbert Schady. Teacher Quality and Learning Outcomes in Kindergarten. Inter-American Development Bank, diciembre de 2016. http://dx.doi.org/10.18235/0011718.
Texto completoBingham, Sonia, Craig Young y Tanni Hubbard. Sentinel wetlands in Cuyahoga Valley National Park: II. Condition trends for wetlands of management concern, 2008?2018. National Park Service, 2023. http://dx.doi.org/10.36967/2301705.
Texto completoBerkhout, Emilie, Goldy Dharmawan, Amanda Beatty, Daniel Suryadarma y Menno Pradhan. Who Benefits and Loses from Large Changes to Student Composition? Assessing Impacts of Lowering School Admissions Standards in Indonesia. Research on Improving Systems of Education (RISE), abril de 2022. http://dx.doi.org/10.35489/bsg-risewp_2022/094.
Texto completoBerkhout, Emilie, Goldy Dharmawan, Amanda Beatty, Daniel Suryadarma y Menno Pradhan. Who Benefits and Loses from Large Changes to Student Composition? Assessing Impacts of Lowering School Admissions Standards in Indonesia. Research on Improving Systems of Education (RISE), abril de 2022. http://dx.doi.org/10.35489/bsg-risewp_2022/094.
Texto completoZhang, Yongping, Carol Kachadoorian, Wen Cheng y Edward Clay. Enhancing Older Adults’ Mobility in Active Living and Tiered Living Communities. Mineta Transportation Institute, junio de 2023. http://dx.doi.org/10.31979/mti.2023.2159.
Texto completoBingham, Sonia y Craig Young. Sentinel wetlands in Cuyahoga Valley National Park: I. Ecological characterization and management insights, 2008–2018. Editado por Tani Hubbard. National Park Service, febrero de 2023. http://dx.doi.org/10.36967/2296885.
Texto completoDick, Warren, Yona Chen y Maurice Watson. Improving nutrient availability in alkaline coal combustion by-products amended with composted animal manures. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7587240.bard.
Texto completoDick, Warren, Yona Chen y Maurice Watson. Improving nutrient availability in alkaline coal combustion by-products amended with composted animal manures. United States Department of Agriculture, diciembre de 2006. http://dx.doi.org/10.32747/2006.7695883.bard.
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