ABSTRACT: Personalized medicine is critical for lung cancer treatment. Different gene signatures that can classify lung cancer patients as high- or low-risk for cancer recurrence have been found. The ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

Abstract: Bit flips in main memory or in the CPU can lead to silent data corruptions (SDCs) and therefore pose a threat to all modern computer systems. The selection of particularly fault-tolerant ...

Abstract: Sorting algorithms are fundamental to computational efficiency, with traditional methods like Quick Sort, Merge Sort, and Heap Sort being widely used despite their complexity and performance ...

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We then select the next smallest element in the array, which is 3. 3 is already in the correct position, so we don't need to swap it. We then select the next smallest element in the array, which is 4.

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Introduction: One of the key problems occurring in neuroinformatics today is the ability to properly extract and sort different spike trains from extracellular recordings. Whilst the spike detection ...