Multidimensional data have become ubiquitous and are frequently encountered in situations
where the information is aggregated over multiple data atoms. The aggregation can be over …

Multidimensional data appear in various interesting applications, eg, sales data indexed by
stores, items, and time. Oftentimes, data are observed aggregated over multiple data atoms …

Event localization is the task of finding the location of an event. Commonly, event
localization using microblogging services, like Twitter, use con-tents of the messages and …

We propose a novel framework, called IncompFuse, that significantly improves the accuracy
of existing methods for reconstructing aggregated historical data from inaccurate historical …

A monitorização estatística analisa dados recolhidos ao longo do tempo e/ou espaço, para
detetar e quantificar alterações, anomalias ou tendências nos processos subjacentes. Esta …

Historical data are frequently involved in situations where the available reports on time
series are temporally aggregated at different levels, eg, the monthly counts of people …

We address the challenge of reconstructing historical information from aggregated, possibly
inaccurate historical reports. For example, given a mixture of accurate and inaccurate …

Event localization is the task of finding the location of an event. Events are defined as
significant one-time occurrences that show notable deviation from expected or normal …

With the explosion of information, massive amounts of data are being generated daily from
different sources. Due to the limited infrastructure and human capacity for data integration …

Given two different brain-scan modalities, like fMRI and MEG, how can we combine them, to
achieve better resolution in both space and time, than each? Given power grid …