Results 41 to 50 of about 40,659 (206)

Introducing Machine Learning Concepts with WEKA [PDF]

, 2016
This chapter presents an introduction to data mining with machine learning. It gives an overview of various types of machine learning, along with some examples. It explains how to download, install, and run the WEKA data mining toolkit on a simple data set, then proceeds to explain how one might approach a bioinformatics problem. Finally, it includes a
Smith, Tony C., Frank, Eibe
openaire   +3 more sources

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source

An ontology enhanced parallel SVM for scalable spam filter training [PDF]

, 2013
This is the post-print version of the final paper published in Neurocomputing. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and ...
Bauer, Blanco, Blanzieri, Blei, Breiman, Cao, Caruana, Chawla, Colas, Cristianini, Dean, Do, Gansterer, Godwin Caruana, Graf, Hall, Huang, Kearns, Kim, Maozhen Li, Mei, Platt, Suykens, Taura, Vapnik, Wang, Woodsend, Yang Liu, Zanghirati, Zhang   +29 more
core   +1 more source

Automated Imaging of Cultured Bacteria in Picoliter Droplets by Coherent Anti‐Stokes Raman Scattering and Two‐Photon Excited Fluorescence Microscopy

Journal of Raman Spectroscopy, EarlyView.
We present an automated system that combines an image‐based fuzzy logic controller for precise positioning of microfluidic picoliter droplets with nonlinear microscopy, using CARS and TPEF modalities for detailed analysis of droplet composition. Time series and z‐stack images of E. coli, B. subtilis, and M. arborescens were recorded.
Fabian Ott, Ashkan Samimi, Sundar Hengoju, Tobias Meyer‐Zedler, Michael Schmitt, Miriam A. Rosenbaum, Jürgen Popp   +6 more
wiley   +1 more source

Machine Learning Models for Cultural Heritage Image Classification: Comparison Based on Attribute Selection

Information, 2019
Image classification is one of the most important tasks in the digital era. In terms of cultural heritage, it is important to develop classification methods that obtain good accuracy, but also are less computationally intensive, as image classification ...
Radmila Janković
doaj   +1 more source

Egg yolk hydrolysate shows moderate impact on osteoporosis in ovariectomized rats

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND This study investigated the protective effect of egg yolk hydrolysate (FC) on osteoporosis in ovariectomized (OVX) rats, a well‐established model of postmenopausal bone loss. OVX rats were fed diets supplemented with 0.2% or 1% FC for 13 weeks.
Ilekuttige Priyan Shanura Fernando, Da Shi, Zihan Wang, Michael Doschak, Jianping Wu   +4 more
wiley   +1 more source

NCeSS Project : Data mining for social scientists [PDF]

, 2007
We will discuss the work being undertaken on the NCeSS data mining project, a one year project at the University of Manchester which began at the start of 2007, to develop data mining tools of value to the social science community. Our primary goal is to
Fagan, Colette, Gibson, Jon, Halfpenny, Peter, Lin, Yuwei, Nazroo, James Y., Procter, Rob, Tekiner, Firat   +6 more
core  

Data Mining, Weka Decision Trees

Orclever Proceedings of Research and Development, 2023
Nowadays, computer technologies are increasing rapidly. Thanks to the development of computer technologies, large and complex raw data sets can be transformed into useful information with different analysis techniques. Different algorithms developed thanks to computer technologies can offer different solutions to scientists and users working in ...
Zekeriya Duran, İsmail Akargöl, Tuğba Doğan   +2 more
openaire   +2 more sources

PUMAA: Establishing a protocol for utilizing machine learning in forensic anthropological analyses

Journal of Forensic Sciences, EarlyView.
Abstract The use of machine learning (ML) models in forensic anthropology (FA) has increased in the last half decade; however, there is a lack of a standardized protocol on how to curate, use, and assess ML models. We introduce PUMAA (A Protocol for Utilizing Machine Learning in Forensic Anthropological Analyses), which includes a flowchart and a ...
Eman Faisal, Tracy L. Rogers
wiley   +1 more source

Psoriasis‐like inflammation induces structural and functional changes in mitochondria

The FEBS Journal, EarlyView.
Psoriasis‐like inflammation, induced by IL‐17, IL‐22, and TNF‐α in keratinocytes and fibroblasts, alters mitochondrial functions, suppressing respiration and increasing mitochondrial ROS production. It also triggers mitochondrial fragmentation, swelling, and cristae disassembly, alongside enhanced secretion of proinflammatory mediators driven by ...
Gabrielė Kulkovienė, Martyna Uldukytė, Sofiya Haluts, Milda Kairytė, Jonas Šoliūnas, Viktorija Šalčiūtė, Rūta Inčiūraitė, Jurgita Skiecevičienė, Monika Iešmantaitė, Ramunė Morkūnienė, Aistė Jekabsone   +10 more
wiley   +1 more source