Abstract: Traditionally, the uncertainty qualification is utilized with the known probability distribution function (PDF). However, in some scenarios, the PDFs of some uncertain variables are modeled ...
Abstract: Detecting buildings from very high resolution (VHR) aerial and satellite images is extremely useful in map making, urban planning, and land use analysis. Although it is possible to manually ...
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
The tools of probability theory, and of the related field of statistical inference, are the keys for being able to analyze and make sense of data. These tools underlie important advances in many ...
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A Robust Out-of-Distribution Detection Framework via Synergistic Smoothing Maria Stoica , Abdelrahman Hekal , Alessio Lomuscio The Adversarial Discount -- AI, Signal Correlation, and the Cybersecurity ...
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