Artigos de revistas sobre o tema "Data distribution shift"
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Cheng, Luling, Xue Yang, Luliang Tang, Qian Duan, Zihan Kan, Xia Zhang e Xinyue Ye. "Spatiotemporal Analysis of Taxi-Driver Shifts Using Big Trace Data". ISPRS International Journal of Geo-Information 9, n.º 4 (24 de abril de 2020): 281. http://dx.doi.org/10.3390/ijgi9040281.
Texto completo da fonteIslind, Anna Sigridur, Tomas Lindroth, Johan Lundin e Gunnar Steineck. "Shift in translations: Data work with patient-generated health data in clinical practice". Health Informatics Journal 25, n.º 3 (13 de março de 2019): 577–86. http://dx.doi.org/10.1177/1460458219833097.
Texto completo da fonteSharet, Nir, e Ilan Shimshoni. "Analyzing Data Changes using Mean Shift Clustering". International Journal of Pattern Recognition and Artificial Intelligence 30, n.º 07 (25 de maio de 2016): 1650016. http://dx.doi.org/10.1142/s0218001416500166.
Texto completo da fonteTyagi, Dushyant. "Designing an Effective Combined Shewhart-CUSUM Control Scheme with Exponentially Distributed Data". International Journal of Mathematical, Engineering and Management Sciences 4, n.º 5 (1 de outubro de 2019): 1277–86. http://dx.doi.org/10.33889/ijmems.2019.4.5-101.
Texto completo da fonteKuang, Kun, Hengtao Zhang, Runze Wu, Fei Wu, Yueting Zhuang e Aijun Zhang. "Balance-Subsampled Stable Prediction Across Unknown Test Data". ACM Transactions on Knowledge Discovery from Data 16, n.º 3 (30 de junho de 2022): 1–21. http://dx.doi.org/10.1145/3477052.
Texto completo da fonteYe, Nanyang, Lin Zhu, Jia Wang, Zhaoyu Zeng, Jiayao Shao, Chensheng Peng, Bikang Pan, Kaican Li e Jun Zhu. "Certifiable Out-of-Distribution Generalization". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 9 (26 de junho de 2023): 10927–35. http://dx.doi.org/10.1609/aaai.v37i9.26295.
Texto completo da fonteRezaei, Ashkan, Anqi Liu, Omid Memarrast e Brian D. Ziebart. "Robust Fairness Under Covariate Shift". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 11 (18 de maio de 2021): 9419–27. http://dx.doi.org/10.1609/aaai.v35i11.17135.
Texto completo da fonteSoultan, Alaaeldin, Diego Pavón-Jordán, Ute Bradter, Brett K. Sandercock, Wesley M. Hochachka, Alison Johnston, Jon Brommer et al. "The future distribution of wetland birds breeding in Europe validated against observed changes in distribution". Environmental Research Letters 17, n.º 2 (1 de fevereiro de 2022): 024025. http://dx.doi.org/10.1088/1748-9326/ac4ebe.
Texto completo da fonteLone, Showkat Ahmad, Zahid Rasheed, Sadia Anwar, Majid Khan, Syed Masroor Anwar e Sana Shahab. "Enhanced fault detection models with real-life applications". AIMS Mathematics 8, n.º 8 (2023): 19595–636. http://dx.doi.org/10.3934/math.20231000.
Texto completo da fonteWalther, Gian-Reto, Silje Berger e Martin T. Sykes. "An ecological ‘footprint’ of climate change". Proceedings of the Royal Society B: Biological Sciences 272, n.º 1571 (28 de junho de 2005): 1427–32. http://dx.doi.org/10.1098/rspb.2005.3119.
Texto completo da fonteKuang, Kun, Ruoxuan Xiong, Peng Cui, Susan Athey e Bo Li. "Stable Prediction with Model Misspecification and Agnostic Distribution Shift". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 4485–92. http://dx.doi.org/10.1609/aaai.v34i04.5876.
Texto completo da fonteChan, Chin-Cheng. "Modeling phase shift data of phase-detection autofocus by skew-normal distribution". Journal of Electronic Imaging 28, n.º 03 (3 de maio de 2019): 1. http://dx.doi.org/10.1117/1.jei.28.3.033001.
Texto completo da fonteGwon, Kyungpil, e Joonhyuk Yoo. "Out-of-Distribution (OOD) Detection and Generalization Improved by Augmenting Adversarial Mixup Samples". Electronics 12, n.º 6 (16 de março de 2023): 1421. http://dx.doi.org/10.3390/electronics12061421.
Texto completo da fontePhongsasiri, Siriwan, e Suwanna Rasmequan. "Outlier Detection in Wellness Data using Probabilistic Mapped Mean-Shift Algorithms". ECTI Transactions on Computer and Information Technology (ECTI-CIT) 15, n.º 2 (11 de agosto de 2021): 258–66. http://dx.doi.org/10.37936/ecti-cit.2021152.244971.
Texto completo da fonteMonich, Yury V., e Yury D. Nechipurenko. "Correlations in Compositional Data without Log Transformations". Axioms 12, n.º 12 (27 de novembro de 2023): 1084. http://dx.doi.org/10.3390/axioms12121084.
Texto completo da fonteGuan, Lisha, Yong Chen, Kevin W. Staples, Jie Cao e Bai Li. "The influence of complex structure on the spatial dynamics of Atlantic cod (Gadus morhua) in the Gulf of Maine". ICES Journal of Marine Science 74, n.º 9 (27 de abril de 2017): 2379–88. http://dx.doi.org/10.1093/icesjms/fsx064.
Texto completo da fonteEngelhard, Georg H., John K. Pinnegar, Laurence T. Kell e Adriaan D. Rijnsdorp. "Nine decades of North Sea sole and plaice distribution". ICES Journal of Marine Science 68, n.º 6 (11 de abril de 2011): 1090–104. http://dx.doi.org/10.1093/icesjms/fsr031.
Texto completo da fonteBai, Haoyue, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S. H. Gary Chan e Zhenguo Li. "DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 8 (18 de maio de 2021): 6705–13. http://dx.doi.org/10.1609/aaai.v35i8.16829.
Texto completo da fonteCheung, William W. L., Jessica J. Meeuwig, Ming Feng, Euan Harvey, Vicky W. Y. Lam, Tim Langlois, Dirk Slawinski, Chaojiao Sun e Daniel Pauly. "Climate-change induced tropicalisation of marine communities in Western Australia". Marine and Freshwater Research 63, n.º 5 (2012): 415. http://dx.doi.org/10.1071/mf11205.
Texto completo da fonteChang, Jyun-Ping, Jun-Hong Weng, Hsun-Ching Hsu, Pei-Yuan Lee e Pin Han. "A Data Transmission Method with Spectral Switches via Electroabsorption". Applied Sciences 12, n.º 3 (18 de janeiro de 2022): 979. http://dx.doi.org/10.3390/app12030979.
Texto completo da fonteVestfals, Cathleen D., Lorenzo Ciannelli e Gerald R. Hoff. "Changes in habitat utilization of slope-spawning flatfish across a bathymetric gradient". ICES Journal of Marine Science 73, n.º 7 (1 de julho de 2016): 1875–89. http://dx.doi.org/10.1093/icesjms/fsw112.
Texto completo da fonteTomov, Mite, Leonard Abazovski e Anastasija Ignjatovska. "CONTRIBUTION TO THE SPC IMPLEMENTATION BY SELECTING AN APPROPRIATE VARIABLE CONTROL CHART". Journal of Production Engineering 24, n.º 1 (30 de junho de 2021): 50–54. http://dx.doi.org/10.24867/jpe-2021-01-050.
Texto completo da fonteJeong, Il-Kyoung, M. J. Graf e R. H. Heffner. "Effects of Bragg peak profiles and nanoparticle sizes on the real-space pair distribution function". Journal of Applied Crystallography 38, n.º 1 (19 de janeiro de 2005): 55–61. http://dx.doi.org/10.1107/s0021889804025841.
Texto completo da fonteOdedina, Joe. "Online Streaming: A Paradigm Shift for Nollywood Movie Distribution". International Journal of Current Research in the Humanities 27, n.º 1 (30 de abril de 2024): 159–73. http://dx.doi.org/10.4314/ijcrh.v27i1.10.
Texto completo da fonteDas, Nandini. "Process control for categorical (ordinal) data". International Journal of Engineering, Science and Technology 14, n.º 2 (3 de novembro de 2022): 34–40. http://dx.doi.org/10.4314/ijest.v14i2.4.
Texto completo da fonteLi, Bao-Chun, e Ya-Zhou Wang. "Charged-Hadron Pseudorapidity Distributions in p-p and Pb-Pb Collisions at LHC Energies". Advances in High Energy Physics 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/515420.
Texto completo da fonteOmoruyi, Frederick A., Ifunanya Lydia Omeje, Ifeanyi Charles Anabike e Okechukwu J. Obulezi. "A New Variant of Rama Distribution with Simulation Study and Application to Blood Cancer Data". European Journal of Theoretical and Applied Sciences 1, n.º 4 (6 de julho de 2023): 389–409. http://dx.doi.org/10.59324/ejtas.2023.1(4).36.
Texto completo da fonteMartínez-Martínez, Josué, Olivia Brown e Rajmonda Caceres. "Towards Robustness to Natural Variations and Distribution Shift (Student Abstract)". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 21 (24 de março de 2024): 23579–81. http://dx.doi.org/10.1609/aaai.v38i21.30481.
Texto completo da fonteAlexander, Chinago B., e Vincent E. Weli. "Statistical Analyses of Rainfall Distribution: A Check on Climatic Shift". Journal of Progress in Engineering and Physical Science 2, n.º 1 (março de 2023): 1–12. http://dx.doi.org/10.56397/jpeps.2023.03.01.
Texto completo da fonteCulpeper, Jonathan, e Merja Kytö. "Data in historical pragmatics". Journal of Historical Pragmatics 1, n.º 2 (30 de agosto de 2000): 175–99. http://dx.doi.org/10.1075/jhp.1.2.03cul.
Texto completo da fonteZhou, Fang Bin, e Yun Kai Guo. "Analysis on Difference of Contaminated Normal Distribution PDF". Applied Mechanics and Materials 409-410 (setembro de 2013): 1661–66. http://dx.doi.org/10.4028/www.scientific.net/amm.409-410.1661.
Texto completo da fontevan der Kooij, Jeroen, Sascha M. M. Fässler, David Stephens, Lisa Readdy, Beth E. Scott e Beatriz A. Roel. "Opportunistically recorded acoustic data support Northeast Atlantic mackerel expansion theory". ICES Journal of Marine Science 73, n.º 4 (19 de dezembro de 2015): 1115–26. http://dx.doi.org/10.1093/icesjms/fsv243.
Texto completo da fonteWeinman, J. A., F. S. Marzano, W. J. Plant, A. Mugnai e N. Pierdicca. "Rainfall observation from X-band, space-borne, synthetic aperture radar". Natural Hazards and Earth System Sciences 9, n.º 1 (4 de fevereiro de 2009): 77–84. http://dx.doi.org/10.5194/nhess-9-77-2009.
Texto completo da fonteDeng, Junli, Haoyuan Yao e Ping Shi. "Enhanced 3D Pose Estimation in Multi-Person, Multi-View Scenarios through Unsupervised Domain Adaptation with Dropout Discriminator". Sensors 23, n.º 20 (12 de outubro de 2023): 8406. http://dx.doi.org/10.3390/s23208406.
Texto completo da fonteYan, Yuguang, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael Ng, Huaqing Min e Qingyao Wu. "Oversampling for Imbalanced Data via Optimal Transport". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julho de 2019): 5605–12. http://dx.doi.org/10.1609/aaai.v33i01.33015605.
Texto completo da fonteVargas, David A., Juan F. De Villena, Valeria Larios, Rossy Bueno López, Daniela R. Chávez-Velado, Diego E. Casas, Reagan L. Jiménez, Sabrina E. Blandon e Marcos X. Sanchez-Plata. "Data-Mining Poultry Processing Bio-Mapping Counts of Pathogens and Indicator Organisms for Food Safety Management Decision Making". Foods 12, n.º 4 (20 de fevereiro de 2023): 898. http://dx.doi.org/10.3390/foods12040898.
Texto completo da fonteZhao, Xingyu, Yuexuan An, Ning Xu, Jing Wang e Xin Geng. "Imbalanced Label Distribution Learning". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 9 (26 de junho de 2023): 11336–44. http://dx.doi.org/10.1609/aaai.v37i9.26341.
Texto completo da fonteJin, Kun, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu e Mingyan Liu. "Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 11 (24 de março de 2024): 12938–46. http://dx.doi.org/10.1609/aaai.v38i11.29191.
Texto completo da fonteDoskocz, Adam. "Accuracy assessment of planimetric large-scale map data for decision-making". Geodesy and Cartography 65, n.º 1 (1 de junho de 2016): 3–12. http://dx.doi.org/10.1515/geocart-2016-0006.
Texto completo da fonteArchis, Jennifer N., Christopher Akcali, Bryan L. Stuart, David Kikuchi e Amanda J. Chunco. "Is the future already here? The impact of climate change on the distribution of the eastern coral snake (Micrurus fulvius)". PeerJ 6 (1 de maio de 2018): e4647. http://dx.doi.org/10.7717/peerj.4647.
Texto completo da fonteAn, Shengwei, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng et al. "Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 10 (24 de março de 2024): 10847–55. http://dx.doi.org/10.1609/aaai.v38i10.28958.
Texto completo da fonteTasche, Dirk. "Factorizable Joint Shift in Multinomial Classification". Machine Learning and Knowledge Extraction 4, n.º 3 (10 de setembro de 2022): 779–802. http://dx.doi.org/10.3390/make4030038.
Texto completo da fonteXin, Shiji, Yifei Wang, Jingtong Su e Yisen Wang. "On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 9 (26 de junho de 2023): 10519–27. http://dx.doi.org/10.1609/aaai.v37i9.26250.
Texto completo da fonteCornille, Nathan, Katrien Laenen, Jingyuan Sun e Marie-Francine Moens. "Causal Factor Disentanglement for Few-Shot Domain Adaptation in Video Prediction". Entropy 25, n.º 11 (17 de novembro de 2023): 1554. http://dx.doi.org/10.3390/e25111554.
Texto completo da fonteFeng, E., Z. Zia, C. Tong e N. Cornell. "P105: Observational study of distribution of time and activities over the course of an emergency physician's shift". CJEM 22, S1 (maio de 2020): S102—S103. http://dx.doi.org/10.1017/cem.2020.311.
Texto completo da fonteBolarinwa, Mojisola A., e Mayowa T. Odetunde. "Appraising the Cognitive Alertness of Night Shift Workers: Case of Bottling Company Operators in Central Northern Nigeria". European Journal of Business and Management Research 8, n.º 4 (26 de julho de 2023): 122–28. http://dx.doi.org/10.24018/ejbmr.2023.8.4.2036.
Texto completo da fonteAskelson, Mark A., Patricia M. Pauley e Jerry M. Straka. "Response Functions for Arbitrary Weight Functions and Data Distributions. Part II: Response Function Derivation and Verification". Monthly Weather Review 133, n.º 8 (1 de agosto de 2005): 2132–47. http://dx.doi.org/10.1175/mwr2963.1.
Texto completo da fonteSchaber, Clemens F., Silja Flenner, Anja Glisovic, Igor Krasnov, Martin Rosenthal, Hergen Stieglitz, Christina Krywka, Manfred Burghammer, Martin Müller e Stanislav N. Gorb. "Hierarchical architecture of spider attachment setae reconstructed from scanning nanofocus X-ray diffraction data". Journal of The Royal Society Interface 16, n.º 150 (janeiro de 2019): 20180692. http://dx.doi.org/10.1098/rsif.2018.0692.
Texto completo da fonteJagielski, Matthew, Stanley Wu, Alina Oprea, Jonathan Ullman e Roxana Geambasu. "How to Combine Membership-Inference Attacks on Multiple Updated Machine Learning Models". Proceedings on Privacy Enhancing Technologies 2023, n.º 3 (julho de 2023): 211–32. http://dx.doi.org/10.56553/popets-2023-0078.
Texto completo da fonteAlferova, E., D. Lychagin e A. Chernyakov. "Research of Stress Field Distribution in FCC-Single Crystal Samples in Compression". Applied Mechanics and Materials 682 (outubro de 2014): 485–90. http://dx.doi.org/10.4028/www.scientific.net/amm.682.485.
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