Results 241 to 250 of about 40,250 (297)

A Marginalized Zero-Inflated Negative Binomial Model for Spatial Data: Modeling COVID-19 Deaths in Georgia. [PDF]

Biom J
Mutiso F, Pearce JL, Benjamin-Neelon SE, Mueller NT, Li H, Neelon B.   +5 more
europepmc   +1 more source

Revisiting Target‐Aware de novo Molecular Generation with TarPass: Between Rational Design and Texas Sharpshooter

Advanced Science, EarlyView.
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin, Zijie Chen, Yurong Li, Meijing Fang, Longji Shen, Yilong Su, Odin Zhang, Qinghan Wang, Qun Su, Jike Wang, Tingjun Hou, Yu Kang   +11 more
wiley   +1 more source

Cognitive constraints and lexicogrammatical variability in ASD: from diagnostic discriminators to intervention strategies. [PDF]

Front Hum Neurosci
Kato S, Hanawa K.
europepmc   +1 more source

Condition sociale, condition spatiale

Géographies buissonnières, 2014
openaire   +2 more sources

The Bias-and-Expertise Model: A Bayesian Network Model of Political Source Characteristics. [PDF]

Cogn Sci
Young DJ, de-Wit LH.
europepmc   +1 more source

VLibrasBD: A Brazilian Portuguese-Brazilian sign language (Libras) bilingual text dataset designed to support neural machine translation. [PDF]

Data Brief
Lima MA, Cruz D, Silva DR, Albuquerque DD, Lacerda DF, Costa R, de Souza Filho GL, de Araújo TM.   +7 more
europepmc   +1 more source

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Conditionals and conditional thinking

Mind & Society, 2007
In this paper, we claim that the problem of conditionals should be dealt with by carefully distinguishing between thinking conditional propositions and conditional thinking, i.e. thinking on the basis of some supposition. This distinction deserves further investigation, if we are to make sense of some old and new experimental data concerning the ...
MANFRINATI A., GIARETTA, PIERDANIELE, CHERUBINI P.   +2 more
openaire   +5 more sources

Conditional Association

Neural Computation, 2012
Estimating conditional dependence between two random variables given the knowledge of a third random variable is essential in neuroscientific applications to understand the causal architecture of a distributed network. However, existing methods of assessing conditional dependence, such as the conditional mutual information, are computationally ...
Seth, Sohan, Príncipe, José C.
openaire   +3 more sources