Artículos de revistas sobre el tema "LIMITED DATASET"
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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 completoMeier, Deborah y Wolfgang Tschacher. "Beyond Dyadic Coupling: The Method of Multivariate Surrogate Synchrony (mv-SUSY)". Entropy 23, n.º 11 (22 de octubre de 2021): 1385. http://dx.doi.org/10.3390/e23111385.
Texto completoDinh, Thi Lan Anh y Filipe Aires. "Nested leave-two-out cross-validation for the optimal crop yield model selection". Geoscientific Model Development 15, n.º 9 (5 de mayo de 2022): 3519–35. http://dx.doi.org/10.5194/gmd-15-3519-2022.
Texto completode Rouw, Nikki, Sabine Visser, Stijn L. W. Koolen, Joachim G. J. V. Aerts, Michel M. van den Heuvel, Hieronymus J. Derijks, David M. Burger y Rob ter Heine. "A limited sampling schedule to estimate individual pharmacokinetics of pemetrexed in patients with varying renal functions". Cancer Chemotherapy and Pharmacology 85, n.º 1 (18 de diciembre de 2019): 231–35. http://dx.doi.org/10.1007/s00280-019-04006-x.
Texto completoAbdulraheem, Abdulkabir, Jamiu T. Suleiman y Im Y. Jung. "Generative Adversarial Network Models for Augmenting Digit and Character Datasets Embedded in Standard Markings on Ship Bodies". Electronics 12, n.º 17 (30 de agosto de 2023): 3668. http://dx.doi.org/10.3390/electronics12173668.
Texto completoXu, Xinkai, Hailan Zhang, Yan Ma, Kang Liu, Hong Bao y Xu Qian. "TranSDet: Toward Effective Transfer Learning for Small-Object Detection". Remote Sensing 15, n.º 14 (12 de julio de 2023): 3525. http://dx.doi.org/10.3390/rs15143525.
Texto completoTran, Thi-Dung, Junghee Kim, Ngoc-Huynh Ho, Hyung-Jeong Yang, Sudarshan Pant, Soo-Hyung Kim y Guee-Sang Lee. "Stress Analysis with Dimensions of Valence and Arousal in the Wild". Applied Sciences 11, n.º 11 (3 de junio de 2021): 5194. http://dx.doi.org/10.3390/app11115194.
Texto completoKadam, Kalyani Dhananjay, Swati Ahirrao y Ketan Kotecha. "Multiple Image Splicing Dataset (MISD): A Dataset for Multiple Splicing". Data 6, n.º 10 (28 de septiembre de 2021): 102. http://dx.doi.org/10.3390/data6100102.
Texto completoShi, Zhengxiang, Qiang Zhang y Aldo Lipani. "StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 10 (28 de junio de 2022): 11321–29. http://dx.doi.org/10.1609/aaai.v36i10.21383.
Texto completoWang, Hao, Suxing Lyu y Yaxin Ren. "Paddy Rice Imagery Dataset for Panicle Segmentation". Agronomy 11, n.º 8 (31 de julio de 2021): 1542. http://dx.doi.org/10.3390/agronomy11081542.
Texto completoChang, Yingxiu, Yongqiang Cheng, John Murray, Shi Huang y Guangyi Shi. "The HDIN Dataset: A Real-World Indoor UAV Dataset with Multi-Task Labels for Visual-Based Navigation". Drones 6, n.º 8 (11 de agosto de 2022): 202. http://dx.doi.org/10.3390/drones6080202.
Texto completoSahiner, Berkman, Heang-Ping Chan y Lubomir Hadjiiski. "Classifier performance prediction for computer-aided diagnosis using a limited dataset". Medical Physics 35, n.º 4 (24 de marzo de 2008): 1559–70. http://dx.doi.org/10.1118/1.2868757.
Texto completoYu, Zhou, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang y Dacheng Tao. "ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 9127–34. http://dx.doi.org/10.1609/aaai.v33i01.33019127.
Texto completoAL-Banna, Alaa Ahmed y Abeer K. AL-Mashhadany. "Natural Language Processing For Automatic text summarization [Datasets] - Survey". Wasit Journal of Computer and Mathematics Science 1, n.º 4 (31 de diciembre de 2022): 156–70. http://dx.doi.org/10.31185/wjcm.72.
Texto completoPasunuru, Ramakanth, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal y Jianfeng Gao. "Data Augmentation for Abstractive Query-Focused Multi-Document Summarization". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 15 (18 de mayo de 2021): 13666–74. http://dx.doi.org/10.1609/aaai.v35i15.17611.
Texto completoDuong, Huu-Thanh, Tram-Anh Nguyen-Thi y Vinh Truong Hoang. "Vietnamese Sentiment Analysis under Limited Training Data Based on Deep Neural Networks". Complexity 2022 (30 de junio de 2022): 1–14. http://dx.doi.org/10.1155/2022/3188449.
Texto completoSun, Cunwei, Yuxin Yang, Chang Wen, Kai Xie y Fangqing Wen. "Voiceprint Identification for Limited Dataset Using the Deep Migration Hybrid Model Based on Transfer Learning". Sensors 18, n.º 7 (23 de julio de 2018): 2399. http://dx.doi.org/10.3390/s18072399.
Texto completoHussain, Altaf y Muhammad Aleem. "GoCJ: Google Cloud Jobs Dataset for Distributed and Cloud Computing Infrastructures". Data 3, n.º 4 (28 de septiembre de 2018): 38. http://dx.doi.org/10.3390/data3040038.
Texto completoLee, JoonHo, Joonseok Lee, Sooah Cho, JiEun Song, Minyoung Lee, Sung Ho Kim, Jin Young Lee et al. "Development of Decision Support Software for Deep Learning-Based Automated Retinal Disease Screening Using Relatively Limited Fundus Photograph Data". Electronics 10, n.º 2 (13 de enero de 2021): 163. http://dx.doi.org/10.3390/electronics10020163.
Texto completoBhattacharya, Ayan. "Posteriors in Limited Time". AppliedMath 2, n.º 4 (12 de diciembre de 2022): 700–710. http://dx.doi.org/10.3390/appliedmath2040041.
Texto completoChen, Tingkai, Ning Wang, Rongfeng Wang, Hong Zhao y Guichen Zhang. "One-stage CNN detector-based benthonic organisms detection with limited training dataset". Neural Networks 144 (diciembre de 2021): 247–59. http://dx.doi.org/10.1016/j.neunet.2021.08.014.
Texto completoAhmed, Nehal K., Elsayed E. Hemayed y Magda B. Fayek. "Hybrid Siamese Network for Unconstrained Face Verification and Clustering under Limited Resources". Big Data and Cognitive Computing 4, n.º 3 (6 de agosto de 2020): 19. http://dx.doi.org/10.3390/bdcc4030019.
Texto completoZuo, Mei y Yang Zhang. "Dataset-aware multi-task learning approaches for biomedical named entity recognition". Bioinformatics 36, n.º 15 (16 de mayo de 2020): 4331–38. http://dx.doi.org/10.1093/bioinformatics/btaa515.
Texto completoKim, Minjeong, Yujung Gil, Yuyeon Kim y Jihie Kim. "Deep-Learning-Based Scalp Image Analysis Using Limited Data". Electronics 12, n.º 6 (14 de marzo de 2023): 1380. http://dx.doi.org/10.3390/electronics12061380.
Texto completoDemuynck, Thomas y Christian Seel. "Revealed Preference with Limited Consideration". American Economic Journal: Microeconomics 10, n.º 1 (1 de febrero de 2018): 102–31. http://dx.doi.org/10.1257/mic.20150343.
Texto completoPerera, Asanka G., Yee Wei Law y Javaan Chahl. "Drone-Action: An Outdoor Recorded Drone Video Dataset for Action Recognition". Drones 3, n.º 4 (28 de noviembre de 2019): 82. http://dx.doi.org/10.3390/drones3040082.
Texto completoMoon, Myungjin y Kenta Nakai. "Integrative analysis of gene expression and DNA methylation using unsupervised feature extraction for detecting candidate cancer biomarkers". Journal of Bioinformatics and Computational Biology 16, n.º 02 (abril de 2018): 1850006. http://dx.doi.org/10.1142/s0219720018500063.
Texto completoBatanović, Vuk, Miloš Cvetanović y Boško Nikolić. "A versatile framework for resource-limited sentiment articulation, annotation, and analysis of short texts". PLOS ONE 15, n.º 11 (12 de noviembre de 2020): e0242050. http://dx.doi.org/10.1371/journal.pone.0242050.
Texto completoWang, Xiao, Zheng Wang, Toshihiko Yamasaki y Wenjun Zeng. "Very Important Person Localization in Unconstrained Conditions: A New Benchmark". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 4 (18 de mayo de 2021): 2809–16. http://dx.doi.org/10.1609/aaai.v35i4.16386.
Texto completoMostofi, Fatemeh, Vedat Toğan y Hasan Basri Başağa. "Real-estate price prediction with deep neural network and principal component analysis". Organization, Technology and Management in Construction: an International Journal 14, n.º 1 (1 de enero de 2022): 2741–59. http://dx.doi.org/10.2478/otmcj-2022-0016.
Texto completoAbo Zidan, Rawan y George Karraz. "Gaussian Pyramid for Nonlinear Support Vector Machine". Applied Computational Intelligence and Soft Computing 2022 (31 de mayo de 2022): 1–9. http://dx.doi.org/10.1155/2022/5255346.
Texto completoVobecký, Antonín, David Hurych, Michal Uřičář, Patrick Pérez y Josef Sivic. "Artificial Dummies for Urban Dataset Augmentation". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 3 (18 de mayo de 2021): 2692–700. http://dx.doi.org/10.1609/aaai.v35i3.16373.
Texto completoDeng, Fei, Shengliang Pu, Xuehong Chen, Yusheng Shi, Ting Yuan y Shengyan Pu. "Hyperspectral Image Classification with Capsule Network Using Limited Training Samples". Sensors 18, n.º 9 (18 de septiembre de 2018): 3153. http://dx.doi.org/10.3390/s18093153.
Texto completoTachibana, Rie, Janne J. Näppi, Toru Hironaka y Hiroyuki Yoshida. "Self-Supervised Adversarial Learning with a Limited Dataset for Electronic Cleansing in Computed Tomographic Colonography: A Preliminary Feasibility Study". Cancers 14, n.º 17 (26 de agosto de 2022): 4125. http://dx.doi.org/10.3390/cancers14174125.
Texto completoJin, Ye-Ji, Erkinov Habibilloh, Ye-Seul Jang, Taejun An, Donghyun Jo, Saron Park y Won-Du Chang. "A Photoplethysmogram Dataset for Emotional Analysis". Applied Sciences 12, n.º 13 (28 de junio de 2022): 6544. http://dx.doi.org/10.3390/app12136544.
Texto completoTomaszewski, Michał, Paweł Michalski y Jakub Osuchowski. "Evaluation of Power Insulator Detection Efficiency with the Use of Limited Training Dataset". Applied Sciences 10, n.º 6 (20 de marzo de 2020): 2104. http://dx.doi.org/10.3390/app10062104.
Texto completoMajid, Haneen y Khawla Ali. "Expanding New Covid-19 Data with Conditional Generative Adversarial Networks". Iraqi Journal for Electrical and Electronic Engineering 18, n.º 1 (4 de abril de 2022): 103–10. http://dx.doi.org/10.37917/ijeee.18.1.12.
Texto completoPushpanathan, Kalananthni, Marsyita Hanafi, Syamsiah Masohor y Wan Fazilah Fazlil Ilahi. "MYLPHerb-1: A Dataset of Malaysian Local Perennial Herbs for the Study of Plant Images Classification under Uncontrolled Environment". Pertanika Journal of Science and Technology 30, n.º 1 (4 de enero de 2022): 413–31. http://dx.doi.org/10.47836/pjst.30.1.23.
Texto completoYU, HUI, KANG TU, LU XIE y YUAN-YUAN LI. "DIGOUT: VIEWING DIFFERENTIAL EXPRESSION GENES AS OUTLIERS". Journal of Bioinformatics and Computational Biology 08, supp01 (diciembre de 2010): 161–75. http://dx.doi.org/10.1142/s0219720010005208.
Texto completoHemedan, Ahmed Abdelmonem, Aboul Ella Hassanien, Mohamed Hamed N. Taha y Nour Eldeen Mahmoud Khalifa. "Deep bacteria: robust deep learning data augmentation design for limited bacterial colony dataset". International Journal of Reasoning-based Intelligent Systems 11, n.º 3 (2019): 256. http://dx.doi.org/10.1504/ijris.2019.10023444.
Texto completoKhalifa, Nour Eldeen Mahmoud, Mohamed Hamed N. Taha, Aboul Ella Hassanien y Ahmed Abdelmonem Hemedan. "Deep bacteria: robust deep learning data augmentation design for limited bacterial colony dataset". International Journal of Reasoning-based Intelligent Systems 11, n.º 3 (2019): 256. http://dx.doi.org/10.1504/ijris.2019.102610.
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