Artículos de revistas sobre el tema "Concept-Drift Management"
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Cano, Andrés, Manuel Gómez-Olmedo y Serafín Moral. "A Bayesian approach to abrupt concept drift". Knowledge-Based Systems 185 (diciembre de 2019): 104909. http://dx.doi.org/10.1016/j.knosys.2019.104909.
Texto completoBayram, Firas, Bestoun S. Ahmed y Andreas Kassler. "From concept drift to model degradation: An overview on performance-aware drift detectors". Knowledge-Based Systems 245 (junio de 2022): 108632. http://dx.doi.org/10.1016/j.knosys.2022.108632.
Texto completoElkhawaga, Ghada, Mervat Abuelkheir, Sherif I. Barakat, Alaa M. Riad y Manfred Reichert. "CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining". Algorithms 13, n.º 7 (3 de julio de 2020): 161. http://dx.doi.org/10.3390/a13070161.
Texto completoZheng, Xiulin, Peipei Li, Xuegang Hu y Kui Yu. "Semi-supervised classification on data streams with recurring concept drift and concept evolution". Knowledge-Based Systems 215 (marzo de 2021): 106749. http://dx.doi.org/10.1016/j.knosys.2021.106749.
Texto completoMwitondi, Kassim S. y Raed A. Said. "Dealing with Randomness and Concept Drift in Large Datasets". Data 6, n.º 7 (19 de julio de 2021): 77. http://dx.doi.org/10.3390/data6070077.
Texto completoCabral, Danilo Rafael de Lima y Roberto Souto Maior de Barros. "Concept drift detection based on Fisher’s Exact test". Information Sciences 442-443 (mayo de 2018): 220–34. http://dx.doi.org/10.1016/j.ins.2018.02.054.
Texto completoBarros, Roberto Souto Maior y Silas Garrido T. Carvalho Santos. "A large-scale comparison of concept drift detectors". Information Sciences 451-452 (julio de 2018): 348–70. http://dx.doi.org/10.1016/j.ins.2018.04.014.
Texto completoDelany, Sarah Jane, Pádraig Cunningham, Alexey Tsymbal y Lorcan Coyle. "A case-based technique for tracking concept drift in spam filtering". Knowledge-Based Systems 18, n.º 4-5 (agosto de 2005): 187–95. http://dx.doi.org/10.1016/j.knosys.2004.10.002.
Texto completoLi, Yanhong, Deyu Li, Suge Wang y Yanhui Zhai. "Incremental entropy-based clustering on categorical data streams with concept drift". Knowledge-Based Systems 59 (marzo de 2014): 33–47. http://dx.doi.org/10.1016/j.knosys.2014.02.004.
Texto completoThaipisutikul, Tipajin. "An Adaptive Temporal-Concept Drift Model for Sequential Recommendation". ECTI Transactions on Computer and Information Technology (ECTI-CIT) 16, n.º 2 (11 de junio de 2022): 222–36. http://dx.doi.org/10.37936/ecti-cit.2022162.248019.
Texto completoThaipisutikul, Tipajin. "An Adaptive Temporal-Concept Drift Model for Sequential Recommendation". ECTI Transactions on Computer and Information Technology (ECTI-CIT) 16, n.º 2 (7 de junio de 2022): 221–35. http://dx.doi.org/10.37936/ecticit.2022162.248019.
Texto completoJohansen, Øistein. "DOOSIM—A NEW SIMULATION MODEL FOR OIL SPILL MANAGEMENT". International Oil Spill Conference Proceedings 1987, n.º 1 (1 de abril de 1987): 529–32. http://dx.doi.org/10.7901/2169-3358-1987-1-529.
Texto completoToquica, David, Kodjo Agbossou, Roland Malhamé, Nilson Henao, Sousso Kelouwani y Alben Cardenas. "Adaptive Machine Learning for Automated Modeling of Residential Prosumer Agents". Energies 13, n.º 9 (4 de mayo de 2020): 2250. http://dx.doi.org/10.3390/en13092250.
Texto completoFeitosa Neto, Antonino y Anne M. P. Canuto. "EOCD: An ensemble optimization approach for concept drift applications". Information Sciences 561 (junio de 2021): 81–100. http://dx.doi.org/10.1016/j.ins.2021.01.051.
Texto completoGuo, Husheng, Hai Li, Qiaoyan Ren y Wenjian Wang. "Concept drift type identification based on multi-sliding windows". Information Sciences 585 (marzo de 2022): 1–23. http://dx.doi.org/10.1016/j.ins.2021.11.023.
Texto completoNagendhiran, Nalini y Lakshmanan Kuppusamy. "Adaptive Drift Detection Mechanism for Non-Stationary Data Stream". Journal of Information & Knowledge Management 20, n.º 01 (marzo de 2021): 2150008. http://dx.doi.org/10.1142/s0219649221500088.
Texto completoLi, Shengzeng, Yiwen Zhong y Jiaxiang Lin. "AWS-DAIE: Incremental Ensemble Short-Term Electricity Load Forecasting Based on Sample Domain Adaptation". Sustainability 14, n.º 21 (31 de octubre de 2022): 14205. http://dx.doi.org/10.3390/su142114205.
Texto completoLiu, Weike, Hang Zhang, Zhaoyun Ding, Qingbao Liu y Cheng Zhu. "A comprehensive active learning method for multiclass imbalanced data streams with concept drift". Knowledge-Based Systems 215 (marzo de 2021): 106778. http://dx.doi.org/10.1016/j.knosys.2021.106778.
Texto completoLi, Zeng, Wenchao Huang, Yan Xiong, Siqi Ren y Tuanfei Zhu. "Incremental learning imbalanced data streams with concept drift: The dynamic updated ensemble algorithm". Knowledge-Based Systems 195 (mayo de 2020): 105694. http://dx.doi.org/10.1016/j.knosys.2020.105694.
Texto completoTan, Chang How, Vincent C. S. Lee y Mahsa Salehi. "Information resources estimation for accurate distribution-based concept drift detection". Information Processing & Management 59, n.º 3 (mayo de 2022): 102911. http://dx.doi.org/10.1016/j.ipm.2022.102911.
Texto completoRen, Siqi, Bo Liao, Wen Zhu y Keqin Li. "Knowledge-maximized ensemble algorithm for different types of concept drift". Information Sciences 430-431 (marzo de 2018): 261–81. http://dx.doi.org/10.1016/j.ins.2017.11.046.
Texto completoBonnemaire, Basile. "Arctic Offshore Loading Downtime Due to Variability in Ice Drift Direction". Journal of Navigation 59, n.º 1 (15 de diciembre de 2005): 9–26. http://dx.doi.org/10.1017/s0373463305003474.
Texto completoId, Ibnu Daqiqil, Masanobu Abe y Sunao Hara. "Acoustic Scene Classifier Based on Gaussian Mixture Model in the Concept Drift Situation". Advances in Science, Technology and Engineering Systems Journal 6, n.º 5 (septiembre de 2021): 167–76. http://dx.doi.org/10.25046/aj060519.
Texto completoSantos, Silas G. T. C., Roberto S. M. Barros y Paulo M. Gonçalves. "A differential evolution based method for tuning concept drift detectors in data streams". Information Sciences 485 (junio de 2019): 376–93. http://dx.doi.org/10.1016/j.ins.2019.02.031.
Texto completoHammoodi, Mahmood Shakir, Frederic Stahl y Atta Badii. "Real-time feature selection technique with concept drift detection using adaptive micro-clusters for data stream mining". Knowledge-Based Systems 161 (diciembre de 2018): 205–39. http://dx.doi.org/10.1016/j.knosys.2018.08.007.
Texto completoSun, Jie, Hamido Fujita, Peng Chen y Hui Li. "Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble". Knowledge-Based Systems 120 (marzo de 2017): 4–14. http://dx.doi.org/10.1016/j.knosys.2016.12.019.
Texto completoBing-quan, Li y Liang Chun-xi. "Mortality Anxiety Management of Chinese Undergraduates in the Horizon of Cultural Psychology". Journal of Asian Research 4, n.º 3 (25 de agosto de 2020): p50. http://dx.doi.org/10.22158/jar.v4n3p50.
Texto completoElzinga, Aant. "The science-society contract in historical transformation: with special reference to “epistemic drift”". Social Science Information 36, n.º 3 (septiembre de 1997): 411–45. http://dx.doi.org/10.1177/053901897036003002.
Texto completoKahraman, Abdulgani, Mehmed Kantardzic, Muhammet Mustafa Kahraman y Muhammed Kotan. "A Data-Driven Multi-Regime Approach for Predicting Energy Consumption". Energies 14, n.º 20 (17 de octubre de 2021): 6763. http://dx.doi.org/10.3390/en14206763.
Texto completoda Motta, Lucas Marchi, Elírio Ernestino Toldo, Luiz Emílio de Sá, Brito de Almeida y José Carlos Nunes. "Sandy sediment budget of the midcoast of Rio Grande do Sul, Brazil". Journal of Marine Research 73, n.º 3 (1 de mayo de 2015): 49–69. http://dx.doi.org/10.1357/002224015815848839.
Texto completoTota, Antonio, Enrico Galvagno, Luca Dimauro, Alessandro Vigliani y Mauro Velardocchia. "Energy Management Strategy for Hybrid Multimode Powertrains: Influence of Inertial Properties and Road Inclination". Applied Sciences 11, n.º 24 (10 de diciembre de 2021): 11752. http://dx.doi.org/10.3390/app112411752.
Texto completoOjugo, Arnold Adimabua y Andrew Okonji Eboka. "Inventory prediction and management in Nigeria using market basket analysis associative rule mining: memetic algorithm based approach". International Journal of Informatics and Communication Technology (IJ-ICT) 8, n.º 3 (13 de noviembre de 2019): 128. http://dx.doi.org/10.11591/ijict.v8i3.pp128-138.
Texto completoNiu, Huifang, Jianchao Zeng, Hui Shi, Bin Wang y Tianye Liu. "A Nonlinear Prognostic Model Based on the Wiener Process with Three Sources of Uncertainty". Shock and Vibration 2021 (29 de diciembre de 2021): 1–12. http://dx.doi.org/10.1155/2021/6475056.
Texto completoVenkatesiah, Sowmya Samudrala, Dominic Augustine, Deepika Mishra, Neethi Gujjar, Vanishri C. Haragannavar, Kamran Habib Awan y Shankargouda Patil. "Immunology of Oral Squamous Cell Carcinoma—A Comprehensive Insight with Recent Concepts". Life 12, n.º 11 (7 de noviembre de 2022): 1807. http://dx.doi.org/10.3390/life12111807.
Texto completoIkken, Naima, Nour-Eddine Tariba, Abdelhadi Bouknadel, Ahmed Haddou, Hafsa El Omari y Hamid El Omari. "Analysis of active islanding detection techniques for grid-connected inverters systems". Indonesian Journal of Electrical Engineering and Computer Science 25, n.º 3 (1 de marzo de 2022): 1287. http://dx.doi.org/10.11591/ijeecs.v25.i3.pp1287-1296.
Texto completoWood, Michael, Emanuele Ogliari, Alfredo Nespoli, Travis Simpkins y Sonia Leva. "Day Ahead Electric Load Forecast: A Comprehensive LSTM-EMD Methodology and Several Diverse Case Studies". Forecasting 5, n.º 1 (2 de marzo de 2023): 297–314. http://dx.doi.org/10.3390/forecast5010016.
Texto completoBagutdinov, R. A. "APPROACH OF PROCESSING, CLASSIFICATION AND DETECTION OF NEW CLASSES AND ANOMALIES IN HETEROGENIOUS AND DIFFERENT STREAMS OF DATA". Herald of Dagestan State Technical University. Technical Sciences 45, n.º 3 (12 de mayo de 2019): 85–93. http://dx.doi.org/10.21822/2073-6185-2018-45-3-85-93.
Texto completoSCHATZMANN, JOST, KARL WEILHAMMER, MATT STUTTLE y STEVE YOUNG. "A survey of statistical user simulation techniques for reinforcement-learning of dialogue management strategies". Knowledge Engineering Review 21, n.º 2 (junio de 2006): 97–126. http://dx.doi.org/10.1017/s0269888906000944.
Texto completoUriarte-Arcia, Abril Valeria, Itzamá López-Yáñez, Cornelio Yáñez-Márquez, João Gama y Oscar Camacho-Nieto. "Data Stream Classification Based on the Gamma Classifier". Mathematical Problems in Engineering 2015 (2015): 1–17. http://dx.doi.org/10.1155/2015/939175.
Texto completoBellazzi, Riccardo. "Big Data and Biomedical Informatics: A Challenging Opportunity". Yearbook of Medical Informatics 23, n.º 01 (agosto de 2014): 08–13. http://dx.doi.org/10.15265/iy-2014-0024.
Texto completoBagge-Petersen, Claudia M., Henriette Langstrup, Jakob E. Larsen y Anne Frølich. "Critical user-configurations in mHealth design: How mHealth-app design practices come to bias design against chronically ill children and young people as mHealth users". DIGITAL HEALTH 8 (enero de 2022): 205520762211095. http://dx.doi.org/10.1177/20552076221109531.
Texto completoFloury, Paul, Jérôme Gaillardet, Eric Gayer, Julien Bouchez, Gaëlle Tallec, Patrick Ansart, Frédéric Koch, Caroline Gorge, Arnaud Blanchouin y Jean-Louis Roubaty. "The potamochemical symphony: new progress in the high-frequency acquisition of stream chemical data". Hydrology and Earth System Sciences 21, n.º 12 (7 de diciembre de 2017): 6153–65. http://dx.doi.org/10.5194/hess-21-6153-2017.
Texto completoKronberg, Magnus, Jan Gugala y Keijo Haapala. "State-of-the-art and proof-of-concept installations for repository concepts based in crystalline rock". Mineralogical Magazine 79, n.º 6 (noviembre de 2015): 1665–73. http://dx.doi.org/10.1180/minmag.2015.079.6.43.
Texto completoHarahsheh, H. A. "OIL SPILL DETECTION AND MONITORING OF ABU DHABI COASTAL ZONE USING KOMPSAT-5 SAR IMAGERY". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (24 de junio de 2016): 1115–21. http://dx.doi.org/10.5194/isprs-archives-xli-b8-1115-2016.
Texto completoHarahsheh, H. A. "OIL SPILL DETECTION AND MONITORING OF ABU DHABI COASTAL ZONE USING KOMPSAT-5 SAR IMAGERY". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (24 de junio de 2016): 1115–21. http://dx.doi.org/10.5194/isprsarchives-xli-b8-1115-2016.
Texto completoScott, J. S. y R. A. Gibb. "Results of geoscience research in the Canadian Nuclear Fuel Waste Management Program: Introduction". Canadian Journal of Earth Sciences 26, n.º 2 (1 de febrero de 1989): 341–44. http://dx.doi.org/10.1139/e89-032.
Texto completoSchrader, Mark J., Anura P. Rathnayake y Lav R. Khot. "Horticultural Oil Thermotherapy Delivery System for Perennial Specialty Crops: A-Proof-of-Concept and Preliminary Results". Applied Engineering in Agriculture 38, n.º 2 (2022): 461–68. http://dx.doi.org/10.13031/aea.14786.
Texto completoRiess, Mike. "Automating model management: a survey on metaheuristics for concept-drift adaptation". Journal of Data, Information and Management, 22 de agosto de 2022. http://dx.doi.org/10.1007/s42488-022-00075-5.
Texto completoRiso, Luigi y Marco Guerzoni. "Concept Drift Estimation with Graphical Models". Information Sciences, mayo de 2022. http://dx.doi.org/10.1016/j.ins.2022.05.056.
Texto completoTian, Xing, Wing W. Y. Ng y Huihui Xu. "Deep Incremental Hashing for Semantic Image Retrieval with Concept Drift". IEEE Transactions on Big Data, 2023, 1–13. http://dx.doi.org/10.1109/tbdata.2022.3233457.
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