[HTML][HTML] Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank
UK Biobank is a large-scale prospective epidemiological study with all data accessible to
researchers worldwide. It is currently in the process of bringing back 100,000 of the original …
researchers worldwide. It is currently in the process of bringing back 100,000 of the original …
Computer-aided detection of COVID-19 from X-ray images using multi-CNN and Bayesnet classifier
Abstract Corona virus disease-2019 (COVID-19) is a pandemic caused by novel
coronavirus. COVID-19 is spreading rapidly throughout the world. The gold standard for …
coronavirus. COVID-19 is spreading rapidly throughout the world. The gold standard for …
Recent progress in machine learning-based methods for protein fold recognition
Knowledge on protein folding has a profound impact on understanding the heterogeneity
and molecular function of proteins, further facilitating drug design. Predicting the 3D …
and molecular function of proteins, further facilitating drug design. Predicting the 3D …
[HTML][HTML] A machine learning framework for sport result prediction
RP Bunker, F Thabtah - Applied computing and informatics, 2019 - Elsevier
Abstract Machine learning (ML) is one of the intelligent methodologies that have shown
promising results in the domains of classification and prediction. One of the expanding areas …
promising results in the domains of classification and prediction. One of the expanding areas …
Predicting students' final performance from participation in on-line discussion forums
On-line discussion forums constitute communities of people learning from each other, which
not only inform the students about their peers' doubts and problems but can also inform …
not only inform the students about their peers' doubts and problems but can also inform …
Data mining: practical machine learning tools and techniques with Java implementations
Witten and Frank's textbook was one of two books that 1 used for a data mining class in the
Fall of 2001. The book covers all major methods of data mining that produce a knowledge …
Fall of 2001. The book covers all major methods of data mining that produce a knowledge …
[PDF][PDF] Practical machine learning tools and techniques
Data Mining Page 1 Data Mining Practical Machine Learning Tools and Techniques Third
Edition Ian H. Witten Eibe Frank Mark A. Hall ELSEVIER AMSTERDAM • BOSTON • …
Edition Ian H. Witten Eibe Frank Mark A. Hall ELSEVIER AMSTERDAM • BOSTON • …
A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
N Williams, S Zander, G Armitage - ACM SIGCOMM Computer …, 2006 - dl.acm.org
The identification of network applications through observation of associated packet traffic
flows is vital to the areas of network management and surveillance. Currently popular …
flows is vital to the areas of network management and surveillance. Currently popular …
A multinomial logit model-Bayesian network hybrid approach for driver injury severity analyses in rear-end crashes
Rear-end crash is one of the most common types of traffic crashes in the US A good
understanding of its characteristics and contributing factors is of practical importance …
understanding of its characteristics and contributing factors is of practical importance …
[图书][B] Bayesian networks: a practical guide to applications
O Pourret, P Na, B Marcot - 2008 - books.google.com
Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are
growing in popularity. Their versatility and modelling power is now employed across a …
growing in popularity. Their versatility and modelling power is now employed across a …