FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4226076142> ?p ?o ?g. }

• W4226076142 endingPage "993" @default.
• W4226076142 startingPage "973" @default.
• W4226076142 abstract "The problem of class imbalance has always been considered as a significant challenge to traditional machine learning and the emerging deep learning research communities. A classification problem can be considered as class imbalanced if the training set does not contain an equal number of labeled examples from all the classes. A classifier trained on such an imbalanced training set is likely to favor those classes containing a larger number of training examples than the others. Unfortunately, the classes that contain a small number of labelled instances usually correspond to rare and significant events. Thus, poor classification accuracy on these classes may lead to severe consequences. In this article, we aim to provide a comprehensive summary of the rich pool of research works attempting to combat the adversarial effects of class imbalance efficiently. Specifically, following a formal definition of the problem of class imbalance, we explore the plethora of traditional machine learning approaches aiming to mitigate its adversarial effects. We further discuss the state-of-the-art deep-learning-based approaches for improving a classifier’s resilience against class imbalance and highlight the need for techniques tailored for such a paradigm. Moreover, we look at the emerging applications where class imbalance can be a major concern. Finally, we outline a few open problems along with the various challenges emerging with the advent of modern applications, deep learning paradigm, and new sources of data." @default.
• W4226076142 created "2022-05-05" @default.
• W4226076142 creator A5047652595 @default.
• W4226076142 creator A5052826041 @default.
• W4226076142 creator A5090445830 @default.
• W4226076142 date "2022-12-01" @default.
• W4226076142 modified "2023-10-06" @default.
• W4226076142 title "On Supervised Class-Imbalanced Learning: An Updated Perspective and Some Key Challenges" @default.
• W4226076142 cites W1485286277 @default.
• W4226076142 cites W1528232283 @default.
• W4226076142 cites W1540007258 @default.
• W4226076142 cites W1541950099 @default.
• W4226076142 cites W1591261915 @default.
• W4226076142 cites W1860210779 @default.
• W4226076142 cites W1884191083 @default.
• W4226076142 cites W1955113042 @default.
• W4226076142 cites W1967158716 @default.
• W4226076142 cites W1967777539 @default.
• W4226076142 cites W1975412991 @default.
• W4226076142 cites W1982211005 @default.
• W4226076142 cites W1994410331 @default.
• W4226076142 cites W2005530589 @default.
• W4226076142 cites W2010839146 @default.
• W4226076142 cites W2011376672 @default.
• W4226076142 cites W2015452969 @default.
• W4226076142 cites W2031326491 @default.
• W4226076142 cites W2072615238 @default.
• W4226076142 cites W2087787741 @default.
• W4226076142 cites W2088059023 @default.
• W4226076142 cites W2090854192 @default.
• W4226076142 cites W2105180131 @default.
• W4226076142 cites W2117190680 @default.
• W4226076142 cites W2118978333 @default.
• W4226076142 cites W2126734246 @default.
• W4226076142 cites W2128733372 @default.
• W4226076142 cites W2148143831 @default.
• W4226076142 cites W2152929147 @default.
• W4226076142 cites W2153622690 @default.
• W4226076142 cites W2170505850 @default.
• W4226076142 cites W2185967890 @default.
• W4226076142 cites W226699106 @default.
• W4226076142 cites W2295209199 @default.
• W4226076142 cites W2300921526 @default.
• W4226076142 cites W2317515691 @default.
• W4226076142 cites W2327900220 @default.
• W4226076142 cites W2338318698 @default.
• W4226076142 cites W2386870756 @default.
• W4226076142 cites W2404441930 @default.
• W4226076142 cites W2408246687 @default.
• W4226076142 cites W2409438660 @default.
• W4226076142 cites W2440599146 @default.
• W4226076142 cites W2460286025 @default.
• W4226076142 cites W2462401346 @default.
• W4226076142 cites W2469885745 @default.
• W4226076142 cites W2470052106 @default.
• W4226076142 cites W2479224401 @default.
• W4226076142 cites W2490420619 @default.
• W4226076142 cites W2512691369 @default.
• W4226076142 cites W2513863019 @default.
• W4226076142 cites W2514019342 @default.
• W4226076142 cites W2521888291 @default.
• W4226076142 cites W2531607313 @default.
• W4226076142 cites W2534295610 @default.
• W4226076142 cites W2548307244 @default.
• W4226076142 cites W2550538833 @default.
• W4226076142 cites W2562319768 @default.
• W4226076142 cites W2592842236 @default.
• W4226076142 cites W2593875029 @default.
• W4226076142 cites W2600610494 @default.
• W4226076142 cites W2607037079 @default.
• W4226076142 cites W2607914278 @default.
• W4226076142 cites W2612634114 @default.
• W4226076142 cites W2624913439 @default.
• W4226076142 cites W2626931877 @default.
• W4226076142 cites W2725874489 @default.
• W4226076142 cites W2736435690 @default.
• W4226076142 cites W2746791238 @default.
• W4226076142 cites W2756182389 @default.
• W4226076142 cites W2761075141 @default.
• W4226076142 cites W2763619424 @default.
• W4226076142 cites W2766296277 @default.
• W4226076142 cites W2766742395 @default.
• W4226076142 cites W2767106145 @default.
• W4226076142 cites W2776518198 @default.
• W4226076142 cites W2778854158 @default.
• W4226076142 cites W2779931100 @default.
• W4226076142 cites W2781900029 @default.
• W4226076142 cites W2783908707 @default.
• W4226076142 cites W2790031975 @default.
• W4226076142 cites W2791757685 @default.
• W4226076142 cites W2794124609 @default.
• W4226076142 cites W2794290001 @default.
• W4226076142 cites W2794590714 @default.
• W4226076142 cites W2798820905 @default.
• W4226076142 cites W2798869704 @default.
• W4226076142 cites W2800167607 @default.
• W4226076142 cites W2800788706 @default.
• W4226076142 cites W2804710862 @default.

• next