Results 101 to 110 of about 1,014,031 (308)

Automatic Arabic Text Classification

, 2008
Automated document classification is an important text mining task especially with the rapid growth of the number of online documents present in Arabic language.
Khorsheed, M. S., Al-Harbi, S, Al-Thubaity, A, Al-Rajeh, A, Almuhareb, A   +4 more
core  

CBARS: cluster based classification for activity recognition systems [PDF]

, 2012
Activity recognition focuses on inferring current user activities by leveraging sensory data available on today’s sensor rich environment. Supervised learning has been applied pervasively for activity recognition.
Gaber, Mohamed Medhat, Krishnaswamy, S., Shonali Krishnaswamy, Krishnaswamy, Shonali, Abdallah, Z., Srinivasan, B., Mohamed Medhat Gaber, Gaber, M., Srinivasan, B, Abdallah, Zahraa S., Zahraa Said Abdallah, Bala Srinivasan   +11 more
core   +1 more source

Well Begun Is Half Done: The Impact of Pre-Processing in MALDI Mass Spectrometry Imaging Analysis Applied to a Case Study of Thyroid Nodules

Stats
The discovery of proteomic biomarkers in cancer research can be effectively performed in situ by exploiting Matrix-Assisted Laser Desorption Ionization (MALDI) Mass Spectrometry Imaging (MSI).
Giulia Capitoli, Kirsten C. J. van Abeelen, Isabella Piga, Vincenzo L’Imperio, Marco S. Nobile, Daniela Besozzi, Stefania Galimberti   +6 more
doaj   +1 more source

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

FEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

Decision Boundaries and Classification Performance Of SVM And KNN Classifiers For 2-Dimensional Dataset

, 2009
Support Vector Machines (SVM) and K-Nearest Neighborhood (k-NN) are two most popular classifiers in machine learning. In this paper, we intend to study the generalization performance of the two classifiers by visualizing the decision boundary of each ...
Hussain, Aini
core  

A Hybrid Approach of Pearson Correlation and PCA in Feature Selection for Opinion Mining

IJID (International Journal on Informatics for Development)
This study proposes a hybrid feature selection approach that combines Pearson Correlation and Principal Component Analysis (PCA) to improve classification performance in opinion mining tasks.
Nova Tri Romadloni, Wakhid Kurniawan, Muhammad Yusuf Ariyadi, Burhan Efendi   +3 more
doaj   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source

Multi-Label Confusion Tensor

IEEE Access
The confusion matrix is the tool commonly used for the evaluation of the performance of a classification algorithm. While the computation of the confusion matrix for multi-class classification follows a well-developed procedure, the common approach for ...
Damir Krstinic, Ana Kuzmanic Skelin, Ivan Slapnicar, Maja Braovic   +3 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Effects of Cone Segment Configuration on the Classification Performance of Hydrocyclones

Separations
As an efficient solid–liquid separation device, the hydrocyclone is widely applied in various industrial fields such as coal preparation and oil impurity removal, and its classification performance directly determines the efficiency of industrial ...
Xiaoxiao Cai, Hao Lu
doaj   +1 more source