157 citations as recorded by crossref.

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10. Pedothem carbonates reveal anomalous North American atmospheric circulation 70,000–55,000 years ago E. Oerter et al. 10.1073/pnas.1515478113
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15. Regional climate signal vs. local noise: a two-dimensional view of water isotopes in Antarctic firn at Kohnen Station, Dronning Maud Land T. Münch et al. 10.5194/cp-12-1565-2016
16. VS-GRU: A Variable Sensitive Gated Recurrent Neural Network for Multivariate Time Series with Massive Missing Values Q. Li & Y. Xu 10.3390/app9153041
17. Data modelling recipes for SARS-CoV-2 wastewater-based epidemiology W. Rauch et al. 10.1016/j.envres.2022.113809
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20. A Temporal Mining Framework for Classifying Un-Evenly Spaced Clinical Data N. Jane et al. 10.4338/ACI-2015-08-RA-0102
21. Optimizing a new de-clustering approach for relatively small samples of wind speed with an application to offshore design conditions C. Tsalis et al. 10.1016/j.oceaneng.2021.108896
22. An Open Mobile Communications Drive Test Data Set and Its Use for Machine Learning S. Farthofer et al. 10.1109/OJCOMS.2022.3210289
23. Similarity estimators for irregular and age-uncertain time series K. Rehfeld & J. Kurths 10.5194/cp-10-107-2014
24. Exploring the relationships between social presence and teaching presence in online video‐based learning X. Chen & S. Feng 10.1111/jcal.12843
25. Statistical Mechanics and Information-Theoretic Perspectives on Complexity in the Earth System G. Balasis et al. 10.3390/e15114844
26. Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry X. Yuan et al. 10.1109/TII.2023.3329684
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30. Orbital controls on Namib Desert hydroclimate over the past 50,000 years B. Chase et al. 10.1130/G46334.1
31. Inferring critical transitions in paleoecological time series with irregular sampling and variable time-averaging M. Stegner et al. 10.1016/j.quascirev.2019.01.009
32. Probabilistic broken-stick model: A regression algorithm for irregularly sampled data with application to eGFR N. Poh et al. 10.1016/j.jbi.2017.10.006
33. Frequency-wavenumber spectrum of the free surface of shallow turbulent flows over a rough boundary G. Dolcetti et al. 10.1063/1.4964926
34. Transformation-cost time-series method for analyzing irregularly sampled data I. Ozken et al. 10.1103/PhysRevE.91.062911
35. Holocene changes in monsoon precipitation in the Andes of NE Peru based on δ18O speleothem records M. Bustamante et al. 10.1016/j.quascirev.2016.05.023
36. Sensitivity of speleothem records in the Indian Summer Monsoon region to dry season infiltration E. Ronay et al. 10.1038/s41598-019-41630-2
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38. COnstructing Proxy Records from Age models (COPRA) S. Breitenbach et al. 10.5194/cp-8-1765-2012
39. More accurate, calibrated bootstrap confidence intervals for estimating the correlation between two time series K. Ólafsdóttir & M. Mudelsee 10.1007/s11004-014-9523-4
40. Correlates of depression in bipolar disorder P. Moore et al. 10.1098/rspb.2013.2320
41. Reconstructing warm-season temperatures using brGDGTs and assessing biases in Holocene temperature records in northern Fennoscandia G. Otiniano et al. 10.1016/j.quascirev.2024.108555
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43. Quantification of temperature and precipitation changes in northern China during the “5000-year” Chinese History C. Zhang et al. 10.1016/j.quascirev.2021.106819
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45. Pastas: Open Source Software for the Analysis of Groundwater Time Series R. Collenteur et al. 10.1111/gwat.12925
46. Coupled temperature variations in the Huguangyan Maar Lake between high and low latitude Q. Li et al. 10.1016/j.quascirev.2023.108011
47. High-latitude Southern Hemisphere fire history during the mid- to late Holocene (6000–750 BP) D. Battistel et al. 10.5194/cp-14-871-2018
48. Improved spectral comparisons of paleoclimate models and observations via proxy system modeling: Implications for multi-decadal variability S. Dee et al. 10.1016/j.epsl.2017.07.036
49. What we talk about when we talk about seasonality – A transdisciplinary review O. Kwiecien et al. 10.1016/j.earscirev.2021.103843
50. A Real-Time Data Analysis Platform for Short-Term Water Consumption Forecasting with Machine Learning A. Boudhaouia & P. Wira 10.3390/forecast3040042
51. A global multiproxy database for temperature reconstructions of the Common Era J. Emile-Geay et al. 10.1038/sdata.2017.88
52. Correlation confidence limits for unevenly sampled data J. Roberts et al. 10.1016/j.cageo.2016.09.011
53. Machine learning discovery of longitudinal patterns of depression and suicidal ideation J. Gong et al. 10.1371/journal.pone.0222665
54. On the Construction of Bootstrap Confidence Intervals for Estimating the Correlation Between Two Time Series Not Sampled on Identical Time Points M. Trottini et al. 10.1007/s11004-021-09947-9
55. Granger-causal testing for irregularly sampled time series with application to nitrogen signalling in Arabidopsis S. Heerah et al. 10.1093/bioinformatics/btab126
56. Estimation of drift and diffusion functions from unevenly sampled time-series data W. Davis & B. Buffett 10.1103/PhysRevE.106.014140
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58. Disentangling different types of El Niño episodes by evolving climate network analysis A. Radebach et al. 10.1103/PhysRevE.88.052807
59. Virtual Machine Provisioning Within Data Center Host Machines Using Ensemble Model in Cloud Computing Environment M. Pandey & P. Rawat 10.1007/s42979-024-03056-0
60. Contrasting pattern of hydrological changes during the past two millennia from central and northern India: Regional climate difference or anthropogenic impact? P. Mishra et al. 10.1016/j.gloplacha.2017.12.005
61. MHD Mode Analysis Using the Unevenly Spaced Mirnov Coils in the Keda Torus eXperiment M. Tan et al. 10.1109/TPS.2019.2918300
62. Holocene vegetation and climate dynamics of NE China based on the pollen record from Sihailongwan Maar Lake M. Stebich et al. 10.1016/j.quascirev.2015.07.021
63. Early-warning signals for Cenozoic climate transitions C. Boettner et al. 10.1016/j.quascirev.2021.107177
64. Weighted Dynamic Time Warping for Time Series G. Yang & S. Xia 10.1142/S0218127423501493
65. Missing Data Imputation in Multivariate Time Series Data N. Daneshpour & S. mirabolghasemi 10.52547/jsdp.19.2.39
66. Adversarial Recurrent Time Series Imputation S. Yang et al. 10.1109/TNNLS.2020.3010524
67. Time Delay Evolution of Five Active Galactic Nuclei A. Kovačević et al. 10.1007/s12036-015-9366-5
68. Deep‐DRX: A framework for deep learning–based discontinuous reception in 5G wireless networks M. Memon et al. 10.1002/ett.3579
69. Exploring the Potential of Neural Networks to Predict Statistics of Solar Wind Turbulence D. Wrench et al. 10.1029/2022SW003200
70. See–saw relationship of the Holocene East Asian–Australian summer monsoon D. Eroglu et al. 10.1038/ncomms12929
71. Discrete-time autoregressive model for unequally spaced time-series observations F. Elorrieta et al. 10.1051/0004-6361/201935560
72. The indian monsoon variability during the last two millennia and links to the tropical equatorial Pacific A. Reddy et al. 10.1007/s00382-022-06513-9
73. An evaluation of paired δ18O and (234U/238U)0 in opal as a tool for paleoclimate reconstruction in semi-arid environments J. Oster et al. 10.1016/j.chemgeo.2016.12.009
74. RefBool: a reference-based algorithm for discretizing gene expression data S. Jung et al. 10.1093/bioinformatics/btx111
75. Multi-colour optical photometry of V404 Cygni in outburst J. Martí et al. 10.1051/0004-6361/201527239
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78. Millennial-scale variations in western Sierra Nevada precipitation during the last glacial cycle MIS 4/3 transition J. Oster et al. 10.1016/j.yqres.2014.04.010
79. Challenges and perspectives in recurrence analyses of event time series N. Marwan 10.3389/fams.2023.1129105
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81. A high-altitude peatland record of environmental changes in the NW Argentine Andes (24 ° S) over the last 2100 years K. Schittek et al. 10.5194/cp-12-1165-2016
82. Thermoluminescence and Optically Stimulated Luminescence Measured in Marine Sediments Indicate Precipitation Changes Over Northeastern Brazil V. R. Mendes et al. 10.1029/2019PA003691
83. A Machine Learning Pipeline for Mortality Prediction in the ICU Y. Sun & Y. Zhou 10.29337/ijdh.44
84. Counting forbidden patterns in irregularly sampled time series. II. Reliability in the presence of highly irregular sampling K. Sakellariou et al. 10.1063/1.4970483
85. Terrain methods on spectral analysis for paleoclimate interpretations: A novel visualization technique using python J. Sánchez-Morales et al. 10.1016/j.cageo.2023.105342
86. Identification of dynamical transitions in marine palaeoclimate records by recurrence network analysis J. Donges et al. 10.5194/npg-18-545-2011
87. Enabling possibilities to quantify past climate from fossil assemblages at a global scale M. Chevalier 10.1016/j.gloplacha.2019.01.016
88. Linking Holocene drying trends from Lonar Lake in monsoonal central India to North Atlantic cooling events P. Menzel et al. 10.1016/j.palaeo.2014.05.044
89. Reply to Comment on "How Good is Your Model Fit? Weighted Goodness‐of‐Fit Metrics for Irregular Time Series" R. Collenteur 10.1111/gwat.13173
90. Correlating paleoclimate time series: Sources of uncertainty and potential pitfalls J. Franke & R. Donner 10.1016/j.quascirev.2019.03.017
91. Temperature change in subtropical southeastern Africa during the past 790,000 yr M. Chevalier et al. 10.1130/G47841.1
92. Can seafloor voltage cables be used to study large-scale circulation? An investigation in the Pacific Ocean J. Velímský et al. 10.5194/os-17-383-2021
93. Variable Star Signature Classification using Slotted Symbolic Markov Modeling K. Johnston & A. Peter 10.1016/j.newast.2016.06.001
94. A large-scale evaluation of machine learning algorithms in mid-term water demand forecasting C. Michalopoulos et al. 10.2166/wpt.2024.166
95. A wavelet lifting approach to long-memory estimation M. Knight et al. 10.1007/s11222-016-9698-2
96. Evidence of short-term groundwater recharge signal propagation from the Andes to the central Atacama Desert: a singular spectrum analysis approach K. Scheihing 10.1080/02626667.2018.1495838
97. Comparison of different waste bin monitoring approaches: An exploratory study Y. Brouwer et al. 10.1177/0734242X231160691
98. Tracking regional and global teleconnections recorded by western North American speleothem records J. Oster & N. Kelley 10.1016/j.quascirev.2016.07.009
99. A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity M. Liu et al. 10.1016/j.artmed.2018.10.002
100. Gaussian clustering and jump-diffusion models of electricity prices: a deep learning analysis C. Mari & E. Mari 10.1007/s10203-021-00332-z
101. The Great Slump: Mrk 926 reveals discrete and varying Balmer line satellite components during a drastic phase of decline W. Kollatschny et al. 10.1051/0004-6361/202142007
102. Unsupervised Consensus Clustering of Acoustic Emission Time-Series for Robust Damage Sequence Estimation in Composites E. Ramasso et al. 10.1109/TIM.2015.2450354
103. Failure patterns in operating systems: An exploratory and observational study C. dos Santos & R. Matias 10.1016/j.jss.2017.03.058
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105. Development and Disintegration of Maya Political Systems in Response to Climate Change D. Kennett et al. 10.1126/science.1226299
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115. Coherency of late Holocene European speleothem δ18O records linked to North Atlantic Ocean circulation M. Deininger et al. 10.1007/s00382-016-3360-8
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148. Multiple forcing on Late Miocene East Asian Summer Monsoon Precipitation Variability in NE Tibetan Plateau Z. Hui et al. 10.1016/j.catena.2022.106752
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