Results 61 to 70 of about 370,101 (314)
Multiple instance cancer detection by boosting regularised trees [PDF]
, 2015 We propose a novel multiple instance learning algorithm for cancer detection in histopathology images. With images labelled at image-level, we rst search a set of region-level prototypes by solving a submodular set cover problem.
Stephen J. McKenna +5 more
core +1 more source
Diverse Models, United Goal: A Comprehensive Survey of Ensemble Learning
CAAI Transactions on Intelligence TechnologyEnsemble learning, a pivotal branch of machine learning, amalgamates multiple base models to enhance the overarching performance of predictive models, capitalising on the diversity and collective wisdom of the ensemble to surpass individual models and ...
Ziwei Fan +7 more
doaj +1 more source
KnowledgeStudent performance prediction is a critical research challenge in the field of educational data mining. To address this issue, various machine learning methods have been employed with significant success, including instance-based algorithms, decision ...
Maria Tsiakmaki +2 more
doaj +1 more source
Epigenetic reprogramming of lineage switching in cancer
FEBS Letters, EarlyView.Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı +4 more
wiley +1 more source
GAMLSS for high-dimensional data – a flexible approach based on boosting [PDF]
, 2010 Generalized additive models for location, scale and shape (GAMLSS) are a popular semi-parametric modelling approach that, in contrast to conventional GAMs, regress not only the expected mean but every distribution parameter (e.g.
Mayr, Andreas +4 more
core +1 more source
Boosting of Denoising Effect with Fusion Strategy
Applied Sciences, 2020 Image denoising, a fundamental step in image processing, has been widely studied for several decades. Denoising methods can be classified as internal or external depending on whether they exploit the internal prior or the external noisy-clean image ...
Fangjia Yang, Shaoping Xu, Chongxi Li
doaj +1 more source
Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
Surface Water Quality Classification via CMAES Ensemble Method
Jisuanji kexue yu tansuo, 2020 In order to improve the quality of people’s daily life, the government departments continue to strengthen water quality management. However, artificial classification method cannot meet the needs of real-time processing, additionally the classification ...
CHEN Xingguo, XU Xiuying, CHEN Kangyang, YANG Guang
doaj +1 more source
Prospecting the protein design landscape
FEBS Letters, EarlyView.This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source
Frontiers in Public HealthIntroductionOvarian Cancer (OC) is one of the leading causes of cancer deaths among women. Despite recent advances in the medical field, such as surgery, chemotherapy, and radiotherapy interventions, there are only marginal improvements in the diagnosis ...
Ashwini Kodipalli +4 more
doaj +1 more source