Abstract: Graph neural networks (GNNs) have achieved remarkable success in node classification tasks, yet their performance significantly degrades when encountering out-of-distribution (OOD) data due ...
The Department of Journalism and Mass Communication (JMC) at American International University–Bangladesh (AIUB) organized a webinar.
This study used pupillometry to provide an objective assessment of a form of synesthesia in which people see additional color when reading numbers. It provides convincing evidence that subjective ...
The size of Amazon Ads is staggering, with billions of impressions in categories such as fashion, fitness, and luxury. I have helped clients shift from post-hoc reporting to causal measurement so that ...
The rooster thinks he summons the sun because the sunrise always follows his crow. Correlation, at its worst, is a very confident rooster. For decades, our data economy has run on the same illusion: ...
Perfluorooctanesulfonic acid (PFOS) is a persistent environmental pollutant with suspected carcinogenic potential; however, the molecular mechanisms driving PFOS-associated non-small cell lung cancer ...
Abstract: Causal inference with spatial, temporal, and meta-analytic data commonly defaults to regression modeling. While widely accepted, such regression approaches can suffer from model ...
A couple of seminal studies published almost 20 years ago found that conservationists needed to start examining whether their actions were actually causing the desired effects. Assessing conservation ...
Abstract: Causal inference and root cause analysis play a crucial role in network performance evaluation and optimization by identifying critical parameters and explaining how the configuration ...
Baseten, a startup specializing in AI inference, has raised $300 million at a $5 billion valuation, according to people familiar with the matter, more than doubling its valuation.
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