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Efficient balanced focal loss function for manipulated images detection
2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS), 2021Fatima Zahra El Biach +3 more
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A note on Pitman's measure of closeness with balanced loss function
Statistics, 2012In this note, we consider the problem of estimating an unknown parameter θ in the sense of the Pitman's measure of closeness (PMC) using the balanced loss function (BLF). We show that the PMC comparison of estimators under the BLF can be reduced to the PMC comparison under the usual absolute error loss. The Pitman-closest estimators of the location and
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SLACE: A Monotone and Balance-Sensitive Loss Function for Ordinal Regression
Proceedings of the AAAI Conference on Artificial IntelligenceOrdinal regression classifies an object to a class out of a given set of possible classes, where labels possess a natural order. It is relevant to a wide array of domains including risk assessment, sentiment analysis, image ranking, and recommender systems. Like common classification, the primary goal of ordinal regression is accuracy. Yet, in this
Inbar Nachmani +4 more
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A General Class of Minimax Shrinkage Estimators Under the Balanced Loss Function
Journal of Statistical Theory and PracticezbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Antibiotic resistance in the patient with cancer: Escalating challenges and paths forward
Ca-A Cancer Journal for Clinicians, 2021Amila K Nanayakkara +2 more
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Oxygen Loss in Layered Oxide Cathodes for Li-Ion Batteries: Mechanisms, Effects, and Mitigation
Chemical Reviews, 2022Hanlei Zhang, Hao Liu, Louis F J Piper
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Mitigation of chromosome loss in clinical CRISPR-Cas9-engineered T cells
Cell, 2023Jennifer A Doudna
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An improvement of James-Stein estimator under the balanced loss function
Journal of the Korean Data And Information Science Society, 2023In-Bong Choi, Hoh-Yoo Baek, Jeong-Mi Lee
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