Results 151 to 160 of about 2,418,931 (242)

The cognitive connectome of men and women: a study on sex differences across three cohorts. [PDF]

Biol Sex Differ
Gasparre D, Habich A, Mulet-Pons L, Yanez-Perez R, Westman E, Barroso J, Vaque-Alcázar L, Bartres-Faz D, Taurisano P, Ferreira D, Alzheimer’s Disease Neuroimaging Initiative.   +10 more
europepmc   +1 more source

Bayesian networks as prognostic models in oncology: a systematic review and recommendations for clinical practice. [PDF]

BMJ Oncol
Reijnen C, Pijnenborg JMA, Hoskin P, Mcwilliam A, Lucas PJF, Hommersom A, Kwisthout J, Choudhury A.   +7 more
europepmc   +1 more source

On the Zariski closure of a germ of totally geodesic complex submanifold on a subvariety of a complex hyperbolic space form of finite volume [PDF]

, 2010
Mok, N, Ngaiming Mok
core   +1 more source

Theory of temporal pattern learning in echo state networks. [PDF]

PNAS Nexus
Hakim V, Karma A.
europepmc   +1 more source

Machine learning-driven prediction of mechanical properties of lightweight concrete based on experimental data. [PDF]

Sci Rep
Gomaa AM, Ahmed MS, Lotfy EM, Abdel-Latif E, Naguib AM.   +4 more
europepmc   +1 more source

THOI: An efficient and accessible library for computing higher-order interactions enhanced by batch-processing. [PDF]

PLoS One
Belloli L, Mediano PAM, Cofré R, Slezak DF, Herzog R.   +4 more
europepmc   +1 more source

Venous Tumor Thrombus Level in Renal Cell Carcinoma: Impact on Surgical and Oncologic Outcomes. [PDF]

Cancers (Basel)
Korbecka Z, Jabłońska B, Król R.
europepmc   +1 more source

Vascular Endothelial Function, Carotid Intima-Media Thickness and Coronary Artery Calcification in Women. [PDF]

J Clin Med
Koźlik M, Chamera M, Osiecki J, Kaźmierska A, Kufel J, Paszkiewicz I, Bujak M, Ładziński S, Kaźmierski M.   +8 more
europepmc   +1 more source

Machine learning long-term electricity demand forecasting system for strategic energy investments. [PDF]

Sci Rep
Haggag M, Abdelhady K, Guirguis M, Saudy M, Dakhakhni WE.   +4 more
europepmc   +1 more source

AI Characterisation of Discordance Profiles Between Stress Electrocardiogram and Myocardial Tomoscintigraphy Using Random Forest XGBoost and SHAP. [PDF]

Med Devices (Auckl)
El Maadaoui Y, Belaguid A, Bsiss MA, Matrane A.   +3 more
europepmc   +1 more source