Information Theory and an Extension of the Maximum Likelihood Principle

Deep learning in neural networks: an overview

Schmidhuber, J. (2015) · Neural Networks · doi:10.1016/j.neunet.2014.09.003 · Cited by 18,570 · see citing works

Multimodel Inference: Understanding AIC and BIC in Model Selection

Burnham, K. P., & Anderson, D. R. (2004) · Sociological Methods & Research · doi:10.1177/0049124104268644 · Cited by 11,648 · see citing works

Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors

Hoeting, J. A., Madigan, D., Raftery, A. E., & Volinsky, C. T. (1999) · Statistical Science · doi:10.1214/ss/1009212519 · Cited by 4,118 · see citing works

AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons

Burnham, K. P., Anderson, D. R., & Huyvaert, K. P. (2011) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-010-1029-6 · Cited by 4,104 · see citing works

Understanding predictive information criteria for Bayesian models

Gelman, A., Hwang, J., & Vehtari, A. (2014) · Statistics and Computing · doi:10.1007/s11222-013-9416-2 · Cited by 2,104 · see citing works

Comparing dynamic causal models.

Penny, W. D., Stephan, K. E., Mechelli, A., & Friston, K. J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.026 · Cited by 848 · see citing works

Subspace-based signal analysis using singular value decomposition

Van Der Veen, A.-J., Deprettere, E. F., & Swindlehurst, A. L. (1993) · Proceedings of the IEEE · doi:10.1109/5.237536 · Cited by 348 · see citing works

Reconciling intuitive physics and Newtonian mechanics for colliding objects

Sanborn, A. N., Mansinghka, V. K., & Griffiths, T. L. (2013) · Psychological Review · doi:10.1037/a0031912 · Cited by 189 · see citing works

Weight gain and dyslipidemia in early adulthood associate with polycystic ovary syndrome: prospective cohort study

Ollila, M.-M. E., Piltonen, T., Puukka, K., Ruokonen, A., Järvelin, M.-R., Tapanainen, J. S., Franks, S., & Morin-Papunen, L. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-3543 · Cited by 182 · see citing works

Early clinical predictors of 5-year outcome after concussive blast traumatic brain injury

Mac Donald, C. L., Barber, J., Jordan, M., Johnson, A. M., Dikmen, S., Fann, J. R., & Temkin, N. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2017.0143 · Cited by 142 · see citing works

Modeling the temperature effect on the specific growth rate of phytoplankton: A review

Grimaud, G. M., Mairet, F., Sciandra, A., & Bernard, O. (2017) · Reviews in Environmental Science and Bio/Technology · doi:10.1007/s11157-017-9443-0 · Cited by 103 · see citing works

Comparing California Current cetacean–habitat models developed using in situ and remotely sensed sea surface temperature data

Becker, E., Forney, K., Ferguson, M., Foley, D., Smith, R., Barlow, J., & Redfern, J. (2010) · Marine Ecology Progress Series · doi:10.3354/meps08696 · Cited by 90 · see citing works

The tree versus the forest: the fungal tree of life and the topological diversity within the yeast phylome.

Marcet-Houben, M., & Gabaldón, T. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004357 · Cited by 83 · see citing works

Mindfulness and acceptance-based group therapy and traditional cognitive behavioral group therapy for social anxiety disorder: Mechanisms of change

Kocovski, N. L., Fleming, J. E., Hawley, L. L., Ho, M.-H. R., & Antony, M. M. (2015) · Behaviour Research and Therapy · doi:10.1016/j.brat.2015.04.005 · Cited by 78 · see citing works

Substance use, mental illness, and familial conflict non-negotiation among HIV-positive African-Americans: latent class regression and a new syndemic framework

Robinson, A. C., Knowlton, A. R., Gielen, A. C., & Gallo, J. J. (2016) · Journal of Behavioral Medicine · doi:10.1007/s10865-015-9670-1 · Cited by 44 · see citing works

Intense removal and non-saturating functional responses by recreational divers on spiny lobster Panulirus argus

Eggleston, D., Johnson, E., Kellison, G., & Nadeau, D. (2003) · Marine Ecology Progress Series · doi:10.3354/meps257197 · Cited by 33 · see citing works

Incorporating environmental covariates to explore genotype × environment × management (G × E × M) interactions: A one-stage predictive model

Mumford, M. H., Forknall, C. R., Rodriguez, D., Eyre, J. X., & Kelly, A. M. (2023) · Field Crops Research · doi:10.1016/j.fcr.2023.109133 · Cited by 22 · see citing works

Identifying Patterns Across the Six Canonical Factors Underlying Wrongful Convictions

Berube, R., Wilford, M. M., Redlich, A. D., & Wang, Y. (2023) · The Wrongful Conviction Law Review · doi:10.29173/wclawr82 · Cited by 20 · see citing works

Self-Tuned Descriptive Document Clustering Using a Predictive Network

Brockmeier, A. J., Mu, T., Ananiadou, S., & Goulermas, J. Y. (2018) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2017.2781721 · Cited by 15 · see citing works

Longitudinal changes in intolerance of uncertainty and worry severity during CBT for generalized anxiety disorder

Laposa, J. M., Katz, D. E., Lisi, D. M., Hawley, L. L., Quigley, L., & Rector, N. A. (2022) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2022.102623 · Cited by 14 · see citing works

Assessing shortnose sturgeon response to estuarine dredging in the Savannah River using a before-after control-impact (BACI) approach

Rider, H. J., Morgan, K. M., Bond, A. T., Nolan, J. D., Fox, A. G., & Hamel, M. J. (2026) · Environmental Biology of Fishes · doi:10.1007/s10641-026-01901-0 · Cited by 1 · see citing works