Literatura académica sobre el tema "LIMITED DATASET"
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Artículos de revistas sobre el tema "LIMITED DATASET"
Gusarova, Nataliya, Artem Lobantsev, Aleksandra Vatian, Anton Klochrov, Maxim Kabyshev, Anatoly Shalyto, Anna Tatarinova, Tatiana Treshkur y Min Li. "Generative augmentation to improve lung nodules detection in resource-limited settings". Information and Control Systems, n.º 6 (15 de diciembre de 2020): 60–69. http://dx.doi.org/10.31799/1684-8853-2020-6-60-69.
Texto completoSarwati Rahayu, Sulis Sandiwarno, Erwin Dwika Putra, Marissa Utami y Hadiguna Setiawan. "Model Sequential Resnet50 Untuk Pengenalan Tulisan Tangan Aksara Arab". JSAI (Journal Scientific and Applied Informatics) 6, n.º 2 (30 de junio de 2023): 234–41. http://dx.doi.org/10.36085/jsai.v6i2.5379.
Texto completoMohammad Alfadli, Khadijah y Alaa Omran Almagrabi. "Feature-Limited Prediction on the UCI Heart Disease Dataset". Computers, Materials & Continua 74, n.º 3 (2023): 5871–83. http://dx.doi.org/10.32604/cmc.2023.033603.
Texto completoKo, Yu-Chieh, Wei-Shiang Chen, Hung-Hsun Chen, Tsui-Kang Hsu, Ying-Chi Chen, Catherine Jui-Ling Liu y Henry Horng-Shing Lu. "Widen the Applicability of a Convolutional Neural-Network-Assisted Glaucoma Detection Algorithm of Limited Training Images across Different Datasets". Biomedicines 10, n.º 6 (3 de junio de 2022): 1314. http://dx.doi.org/10.3390/biomedicines10061314.
Texto completoGuo, Runze, Bei Sun, Xiaotian Qiu, Shaojing Su, Zhen Zuo y Peng Wu. "Fine-Grained Recognition of Surface Targets with Limited Data". Electronics 9, n.º 12 (2 de diciembre de 2020): 2044. http://dx.doi.org/10.3390/electronics9122044.
Texto completoGaikwad, Mayur, Swati Ahirrao, Shraddha Phansalkar, Ketan Kotecha y Shalli Rani. "Multi-Ideology, Multiclass Online Extremism Dataset, and Its Evaluation Using Machine Learning". Computational Intelligence and Neuroscience 2023 (1 de marzo de 2023): 1–33. http://dx.doi.org/10.1155/2023/4563145.
Texto completoHuč, Aleks, Jakob Šalej y Mira Trebar. "Analysis of Machine Learning Algorithms for Anomaly Detection on Edge Devices". Sensors 21, n.º 14 (20 de julio de 2021): 4946. http://dx.doi.org/10.3390/s21144946.
Texto completoMuniraj, Inbarasan, Changliang Guo, Ra'ed Malallah, Harsha Vardhan R. Maraka, James P. Ryle y John T. Sheridan. "Subpixel based defocused points removal in photon-limited volumetric dataset". Optics Communications 387 (marzo de 2017): 196–201. http://dx.doi.org/10.1016/j.optcom.2016.11.047.
Texto completoShin, Changho, Seungeun Rho, Hyoseop Lee y Wonjong Rhee. "Data Requirements for Applying Machine Learning to Energy Disaggregation". Energies 12, n.º 9 (5 de mayo de 2019): 1696. http://dx.doi.org/10.3390/en12091696.
Texto completoAlthnian, Alhanoof, Duaa AlSaeed, Heyam Al-Baity, Amani Samha, Alanoud Bin Dris, Najla Alzakari, Afnan Abou Elwafa y Heba Kurdi. "Impact of Dataset Size on Classification Performance: An Empirical Evaluation in the Medical Domain". Applied Sciences 11, n.º 2 (15 de enero de 2021): 796. http://dx.doi.org/10.3390/app11020796.
Texto completoTesis sobre el tema "LIMITED DATASET"
Chen, Dan. "An adaptive weighting algorithm for limited dataset verification problems". Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B3204897X.
Texto completoChen, Dan y 陳丹. "An adaptive weighting algorithm for limited dataset verification problems". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B3204897X.
Texto completoPatel, Rahul. "Maximum Likelihood – Expectation Maximum Reconstruction with Limited Dataset for Emission Tomography". Akron, OH : University of Akron, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=akron1175781554.
Texto completo"May, 2007." Title from electronic thesis title page (viewed 04/26/2009) Advisor, Dale Mugler; Co-Advisor, Anthony Passalaqua; Committee member, Daniel Sheffer; Department Chair, Daniel Sheffer; Dean of the College, George K. Haritos; Dean of the Graduate School, George R. Newkome. Includes bibliographical references.
Pinto, Cecilia. "Integration of multiple sparse and limited datasets helps to inform spatial conservation for an endangered marine species". Thesis, University of Aberdeen, 2015. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=228567.
Texto completoLouws, Margie. "Electronic Multi-agency Collaboration. A Model for Sharing Children¿s Personal Information Among Organisations". Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/5694.
Texto completoLouws, Margie. "Electronic multi-agency collaboration : a model for sharing children's personal information among organisations". Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/5694.
Texto completoLibros sobre el tema "LIMITED DATASET"
Ligon, Gina Scott, Douglas C. Derrick y Mackenzie Harms. Destruction Through Collaboration. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190222093.003.0013.
Texto completoColli, Andrea y Michelangelo Vasta. Italy. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198717973.003.0011.
Texto completoLoporcaro, Michele. Romance gender systems. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199656547.003.0004.
Texto completoKasprzak, Jaroslaw D., Anita Sadeghpour y Ruxandra Jurcut. Doppler echocardiography. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0003.
Texto completoKoinova, Maria. Diaspora Entrepreneurs and Contested States. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198848622.001.0001.
Texto completoDelsol, Laurent. Nonparametric Methods for α-Mixing Functional Random Variables. Editado por Frédéric Ferraty y Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.5.
Texto completoLoyle, Cyanne E. Transitional Justice During Armed Conflict. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228637.013.218.
Texto completoCapítulos de libros sobre el tema "LIMITED DATASET"
Xing, Yujie, Itishree Mohallick, Jon Atle Gulla, Özlem Özgöbek y Lemei Zhang. "An Educational News Dataset for Recommender Systems". En ECML PKDD 2020 Workshops, 562–70. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65965-3_39.
Texto completoSahu, Priyanka, Anuradha Chug, Amit Prakash Singh y Dinesh Singh. "Enhancing Leaf Disease Identification with GAN for a Limited Training Dataset". En Image Processing and Intelligent Computing Systems, 195–206. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003267782-13.
Texto completoBergui, Mohammed, Nikola S. Nikolov y Said Najah. "Hadoop Dataset for Job Estimation in the Cloud with Limited Bandwidth". En Lecture Notes in Networks and Systems, 341–48. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28073-3_24.
Texto completoGarcía-Álvarez, David y Javier Lara Hinojosa. "Global Thematic Land Use Cover Datasets Characterizing Agricultural Covers". En Land Use Cover Datasets and Validation Tools, 399–417. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_20.
Texto completoMilicevic, Mario, Krunoslav Zubrinic, Ines Obradovic y Tomo Sjekavica. "Application of Transfer Learning for Fine-Grained Vessel Classification Using a Limited Dataset". En Lecture Notes in Electrical Engineering, 125–31. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21507-1_19.
Texto completoDaniels, Reza Che. "A Framework for Investigating Microdata Quality, with Application to South African Labour Market Household Surveys". En How Data Quality Affects our Understanding of the Earnings Distribution, 7–36. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3639-5_2.
Texto completoCiavotta, Michele, Vincenzo Cutrona, Flavio De Paoli, Nikolay Nikolov, Matteo Palmonari y Dumitru Roman. "Supporting Semantic Data Enrichment at Scale". En Technologies and Applications for Big Data Value, 19–39. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-78307-5_2.
Texto completoCosta, Arthur C., Helder C. R. Oliveira, Juliana H. Catani, Nestor de Barros, Carlos F. E. Melo y Marcelo A. C. Vieira. "Detection of Architectural Distortion with Deep Convolutional Neural Network and Data Augmentation of Limited Dataset". En XXVI Brazilian Congress on Biomedical Engineering, 155–59. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-2517-5_24.
Texto completoSharma, Pranav, Marcus Rüb, Daniel Gaida, Heiko Lutz y Axel Sikora. "Deep Learning in Resource and Data Constrained Edge Computing Systems". En Machine Learning for Cyber Physical Systems, 43–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-62746-4_5.
Texto completoGiorgini, Eugenia, Enrica Vecchi, Luca Poluzzi, Luca Tavasci, Maurizio Barbarella y Stefano Gandolfi. "15 Years of the Italian GNSS Geodetic Reference Frame (RDN): Preliminary Analysis and Considerations". En Geomatics for Green and Digital Transition, 3–14. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17439-1_1.
Texto completoActas de conferencias sobre el tema "LIMITED DATASET"
De, Vidisha, T. T. Teo, W. L. Woo y T. Logenthiran. "Photovoltaic Power Forecasting using LSTM on Limited Dataset". En 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). IEEE, 2018. http://dx.doi.org/10.1109/isgt-asia.2018.8467934.
Texto completoDesai, Shrinivas D., Shantala Giraddi, Nitin Verma, Puneet Gupta y Sharan Ramya. "Breast Cancer Detection Using GAN for Limited Labeled Dataset". En 2020 12th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2020. http://dx.doi.org/10.1109/cicn49253.2020.9242551.
Texto completoJess, Torben, Philip Woodall y Duncan McFarlane. "Overcoming limited dataset availability when working with industrial organisations". En 2015 IEEE 13th International Conference on Industrial Informatics (INDIN). IEEE, 2015. http://dx.doi.org/10.1109/indin.2015.7281843.
Texto completoJonnalagedda, Padmaja, Brent Weinberg, Jason Allen, Taejin L. Min, Shiv Bhanu y Bir Bhanu. "SAGE: Sequential Attribute Generator for Analyzing Glioblastomas Using Limited Dataset". En 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021. http://dx.doi.org/10.1109/icpr48806.2021.9412151.
Texto completoKomasilovs, Vitalijs, Aleksejs Zacepins, Armands Kviesis y Claudio Estevez. "Traffic Monitoring using an Object Detection Framework with Limited Dataset". En 5th International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007586800002179.
Texto completoKomasilovs, Vitalijs, Aleksejs Zacepins, Armands Kviesis y Claudio Estevez. "Traffic Monitoring using an Object Detection Framework with Limited Dataset". En 5th International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007586802910296.
Texto completoAdke, Gaurav. "Application of GAN for Reducing Data Imbalance under Limited Dataset". En 17th International Conference on Computer Vision Theory and Applications. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0010782800003124.
Texto completoLi, Enke y Lingrui Mei. "Traffic Sign Recognition and Retrieval Using Limited Dataset in the Wild". En 2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC). IEEE, 2021. http://dx.doi.org/10.1109/imcec51613.2021.9482122.
Texto completoPrakoso, Hamdan, Ridi Ferdiana y Rudy Hartanto. "Indonesian Automatic Speech Recognition system using CMUSphinx toolkit and limited dataset". En 2016 International Symposium on Electronics and Smart Devices (ISESD). IEEE, 2016. http://dx.doi.org/10.1109/isesd.2016.7886734.
Texto completoLebbad, Anderson, Garrett Clayton y C. Nataraj. "Classification of UXO Using Convolutional Networks Trained on a Limited Dataset". En 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2017. http://dx.doi.org/10.1109/icmla.2017.000-1.
Texto completoInformes sobre el tema "LIMITED DATASET"
Garton, Timothy. Data enrichment and enhanced accessibility of waterborne commerce numerical data : spatially depicting the National Waterway Network. Engineer Research and Development Center (U.S.), diciembre de 2020. http://dx.doi.org/10.21079/11681/39223.
Texto completoCheng, Peng, James V. Krogmeier, Mark R. Bell, Joshua Li y Guangwei Yang. Detection and Classification of Concrete Patches by Integrating GPR and Surface Imaging. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317320.
Texto completoCheng, Peng, James V. Krogmeier, Mark R. Bell, Joshua Li y Guangwei Yang. Detection and Classification of Concrete Patches by Integrating GPR and Surface Imaging. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317320.
Texto completoKoduru, Smitha y Jason Skow. PR-244-153719-R01 Quantification of ILI Sizing Uncertainties and Improving Correction Factors. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), agosto de 2018. http://dx.doi.org/10.55274/r0011518.
Texto completoGregor, Nicholas, Kofi Addo, Linda Al Atik, Gail Atkinson, David Boore, Yousef Bozorgnia, Kenneth Campbell et al. Comparison of NGA-Sub Ground-Motion Models. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, noviembre de 2020. http://dx.doi.org/10.55461/ubdv7944.
Texto completoZeballos, Eliana y Wilson Sinclair. Estimating the state-level food expenditure series. Washington, D.C.: USDA Economic Research Service, abril de 2023. http://dx.doi.org/10.32747/2023.8023696.ers.
Texto completoMackie, S. J., C. M. Furlong, P. K. Pedersen y O. H. Ardakani. Stratigraphy, facies heterogeneities, and structure in the Montney Formation of northeastern British Columbia: relation to H2S distribution. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329796.
Texto completoPanek, Jeffrey, Adrian Huth, Alan Krol y James McCarthy. PR-312-18208-R03 AERMOD Performance Assessments, Implementation Issues and Recommended Improvements. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), agosto de 2022. http://dx.doi.org/10.55274/r0012232.
Texto completoMcMartin, I., M. S. Gauthier y A. V. Page. Updated post-glacial marine limits along western Hudson Bay, central mainland Nunavut and northern Manitoba. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330940.
Texto completoHilbrecht, Margo, David Baxter, Alexander V. Graham y Maha Sohail. Research Expertise and the Framework of Harms: Social Network Analysis, Phase One. GREO, diciembre de 2020. http://dx.doi.org/10.33684/2020.006.
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