The impact of feature combinations on machine learning models for in-hospital mortality prediction
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-26611-y
Abstract: The growing volume of healthcare data presents opportunities for machine learning to improve treatment, uncover new patterns in data and predict patient outcomes. Selecting appropriate features for a machine learning model is an important step… read more here.
Keywords: feature combinations; hospital mortality; feature sets; machine learning ... See more keywords
scHiClassifier: a deep learning framework for cell type prediction by fusing multiple feature sets from single-cell Hi-C data
Sign Up to like & getrecommendations! Published in 2024 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbaf009
Abstract: Abstract Single-cell high-throughput chromosome conformation capture (Hi-C) technology enables capturing chromosomal spatial structure information at the cellular level. However, to effectively investigate changes in chromosomal structure across different cell types, there is a requisite for… read more here.
Keywords: framework; single cell; feature sets; cell ... See more keywords
Sarcasm Detection Using Deep Learning With Contextual Features
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3076789
Abstract: Our work focuses on detecting sarcasm in tweets using deep learning extracted features combined with contextual handcrafted features. A feature set is extracted from a Convolutional Neural Network (CNN) architecture before it is combined with… read more here.
Keywords: sarcasm detection; detection using; feature sets; using deep ... See more keywords
Context-Driven Satire Detection With Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3194119
Abstract: This work discuss the task of automatically detecting satire instances in short articles. It is the study of extracting the most optimal features by using a deep learning architecture combined with carefully handcrafted contextual features.… read more here.
Keywords: driven satire; context driven; deep learning; feature sets ... See more keywords
Smart Analysis of Economics Sentiment in Spanish Based on Linguistic Features and Transformers
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3244065
Abstract: Texts related to economics and finances are characterized by the use of words and expressions whose meaning (and the sentiments they convey) substantially depend on the context. This poses a major challenge to Natural Language… read more here.
Keywords: economics; analysis; feature sets; linguistic features ... See more keywords
Matching Multi-Scale Feature Sets in Vision Transformer for Few-Shot Classification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2024.3435003
Abstract: Recently, Transformer-based few-shot classification methods are widely exploited. However, they only leverage feature information at a single scale, resulting in weak feature representations, which cannot fully capture the rich information contained in a limited number… read more here.
Keywords: scale feature; shot classification; feature sets; multi scale ... See more keywords
Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms
Sign Up to like & getrecommendations! Published in 2019 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2019/2717454
Abstract: Mammography is successfully used as an effective screening tool for cancer diagnosis. A calcification cluster on mammography is a primary sign of cancer. Early researches have proved the diagnostic value of the calcification, yet their… read more here.
Keywords: diagnosis; feature sets; calcification; deep features ... See more keywords
Abstract 6548: Leveraging compact feature sets for TCGA-based molecular subtype classification on new samples
Sign Up to like & getrecommendations! Published in 2024 at "Cancer Research"
DOI: 10.1158/1538-7445.am2024-6548
Abstract: The NCI's The Cancer Genome Atlas (TCGA) project profiled over 10,000 tumor samples over the course of 10 years. As different tissue-specific working groups reviewed all of the available data, these patient samples were separated… read more here.
Keywords: cancer; leveraging compact; new samples; compact feature ... See more keywords
Inter-Residue Distance Prediction From Duet Deep Learning Models
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.887491
Abstract: Residue distance prediction from the sequence is critical for many biological applications such as protein structure reconstruction, protein–protein interaction prediction, and protein design. However, prediction of fine-grained distances between residues with long sequence separations still… read more here.
Keywords: inter residue; distance prediction; prediction; residue distance ... See more keywords