Results 71 to 80 of about 4,317,504 (301)
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
Weighted Ensemble Classification of Multi-label Data Streams
, 2017 Many real world applications involve classification of multilabel data streams. However, most existing classification models mostly focused on classifying single-label data streams.
Hong Shen +8 more
core +1 more source
MsCoa: Multi-Step Co-Attention Model for Multi-Label Classification
IEEE Access, 2019 Multi-label text classification (MLC) task, as one of the sub-tasks of natural language processing, has broad application prospects. On the basis of studying the previous research work, this research takes the relationship among text information, leading
Haoyang Ma +4 more
doaj +1 more source
A Multi-Label Classification With Hybrid Label-Based Meta-Learning Method in Internet of Things
IEEE Access, 2020 With the widespread adoption of Internet connected devices and the application of Internet of Things (IoT), more and more research efforts focusing on using machine learning techniques in recognizing activities from IoT sensors, especially in solving ...
Sung-Chiang Lin +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
A multi-label classification method for disposing incomplete labeled data and label relevance
Dianxin kexue, 2016 Multi-label classification methods have been applied in many real-world fields，in which the labels may have strong relevance and some of them even are incomplete or missing.However，existing multi-label classification algorithms are unable to handle both ...
Lina ZHANG, Lingpeng DAI, Tai KUANG
doaj +2 more sources
Multi-label Problem Transformation Methods: a Case Study
CLEI Electronic Journal, 2011 Traditional classification algorithms consider learning problems that contain only one label, i.e., each example is associated with one single nominal target variable characterizing its property.
Everton Alvares Cherman +2 more
doaj +1 more source
Towards Explainable Multi-Label Classification
2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), 2019 Multi-label classification is a very active research area and many real-world applications need efficient multi-label learning. During recent years, explaining machine learning predictions is also a very hot topic. A lot of approaches have been proposed for explaining multi-class classifier predictions.
openaire +3 more sources
FEBS Letters, EarlyView.This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
wiley +1 more source
Exploration of Multi-Label Classification Techniques for Modelling of Specialty Arabica Coffee Flavour Notes [PDF]
Predicting the complex flavor profiles of specialty Arabica coffee is a challenging task due to the subjective nature of human sensory evaluations. This study investigates the application of visible-near-infrared (vis-NIR) spectroscopy coupled with multi-
Sherman, Ho
core +1 more source