Results 121 to 130 of about 263,469 (298)

Improving long‐tail classification via decoupling and regularisation

CAAI Transactions on Intelligence Technology
Real‐world data always exhibit an imbalanced and long‐tailed distribution, which leads to poor performance for neural network‐based classification. Existing methods mainly tackle this problem by reweighting the loss function or rebalancing the classifier.
Shuzheng Gao, Chaozheng Wang, Cuiyun Gao, Wenjian Luo, Peiyi Han, Qing Liao, Guandong Xu   +6 more
doaj   +1 more source

LM-CLIP: Adapting Positive Asymmetric Loss for Long-Tailed Multi-Label Classification

IEEE Access
Accurate multi-label image classification is essential for real-world applications, especially in scenarios with long-tailed class distributions, where some classes appear frequently while others are rare. This imbalance often leads to biased models that
Christoph Timmermann, Seunghyeon Jung, Miso Kim, Woojin Lee   +3 more
doaj   +1 more source

Blood‐based proteomic profiling reveals context‐dependent changes in BCL2‐associated signaling during taxane therapy in breast cancer patients

FEBS Open Bio, EarlyView.
Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani, Eiman Y. Ibrahim, Rozalyn L. Rodwin, Leah M. Ferrucci, Kim Blenman, Maryam Lustberg, Barbara E. Ehrlich   +6 more
wiley   +1 more source

Estimation of regression coefficients subject to exact linear restrictions when some observations are missing and quadratic error balanced loss function is used

Balanced loss function, exact restrictions, missing observations, 62J05,
Shalabh, H. Toutenburg
core   +1 more source

Pharmacological inhibition of the PERK pathway modulates hepatocellular carcinoma growth and immune signaling

FEBS Open Bio, EarlyView.
Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero, Maria Kopsida, Nathalie Arendt, Hans Lennernäs, Markus Sjöblom, Femke Heindryckx   +5 more
wiley   +1 more source

On estimation with weighted balanced-type loss function

For estimating an unknown parameter [theta], we introduce and motivate the use of the balanced-type loss function: , where 0[less-than-or-equals, slant][omega][less-than-or-equals, slant]1, q([theta]) is a positive weight function, and [delta]0 is a ...
Marchand, Éric, Jafari Jozani, Mohammad, Parsian, Ahmad   +2 more
core  

Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids

FEBS Open Bio, EarlyView.
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão, Diogo M. Engrácia, Graça Soveral, Filipa Mendes   +3 more
wiley   +1 more source

Bayesian inference for the inverse Weibull distribution based on symmetric and asymmetric balanced loss functions with application

In this study, the unified hybrid censored approach is employed to estimate the parameters of the inverse Weibull distribution, as well as the survival and hazard rate functions. Parameter estimates are obtained using both Bayesian and maximum likelihood
Balogun, Oluwafemi Samsin, Hasaballah, Mustafa M., Tashkandy, Yusra A., Bakr, M. E.   +3 more
core   +1 more source

tSNP-based identification of allelic loss of gene expression in a patient with a balanced chromosomal rearrangement

, 2007
Identification of genes affected by disease-associated rare chromosomal rearrangements has led to the cloning of several disease genes. Here we have used a simple approach involving allele-specific RT-PCR-based detection of gene expression to identify a ...
Ukadike, Kennedy, Anand K. Srivastava, Guzauskas, Gregory F., Lynn Rimsky, Srivastava, Anand K., Kennedy Ukadike, Gregory F. Guzauskas, Rimsky, Lynn   +7 more
core   +1 more source

Bayesian state estimation for partially observable distribution networks via power flow-informed neural networks

International Journal of Electrical Power & Energy Systems
The performance of existing distribution network state estimation (SE) methods is unsatisfactory due to limited real-time measurements. In this paper, a Bayesian SE method is proposed for partially observable distribution networks using a novel power ...
Dong Liang, Guirong Li, Xiaoyu Liu, Lin Zeng, Hsiao-Dong Chiang, Shouxiang Wang   +5 more
doaj   +1 more source