Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...
Abstract: In time series anomaly detection (TSAD), the scarcity of labeled data poses a challenge to the development of accurate models. Unsupervised domain adaptation (UDA) offers a solution by ...
But the game has been opened up for millions of Americans, democratized by prediction markets like Kalshi and Polymarket, where users can bet on anything, including, in some cases, an outcome they ...
A federal judge on Friday vacated a series of President Trump’s policies enacted in the wake of a deadly attack on National Guard members, forcing immigration agencies to again process applications ...
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A 2026 college softball season that began all the way back in the frigid days of February is now down to its final two teams. And in the next few days, a champion will be crowned and a trophy will be ...
Analysis of Multivariate Indoor Building Data: A Comparative Study of Time-Series Clustering Methods
Abstract: Clustering multivariate time-series data is crucial for uncovering complex temporal patterns in dynamic environments, such as building indoor conditions and behavior where variables like ...
Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. Toto 2.0 is the current recommended release, featuring a family of u-μP-scaled models ranging ...
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