Articles from gateway Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning

Home Gateways Artificial Intelligence and Machine Learning

221-225 of 225 ARTICLES

Previous Next

Only PubMed Indexed

Research Article metrics

Revised

Machine learning models identify molecules active against the Ebola virus in vitro

[version 3; peer review: 2 approved]

Sean Ekins, Joel S. Freundlich, Alex M. Clark, Manu Anantpadma, Robert A. Davey, Peter Madrid

Peer Reviewers Sanja Glisic; Sandeep Chakraborty

LATEST VERSION PUBLISHED 17 Jan 2017

Study Protocol metrics PEER REVIEW DISCONTINUED

Peer review at F1000Research is author-driven. Currently no reviewers have been invited. What does this mean?

Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans

[version 1; peer review: 1 approved with reservations]

Carlton Chu, Jeffrey De Fauw, Nenad Tomasev, Bernardino Romera Paredes, Cían Hughes, Joseph Ledsam, Trevor Back, Hugh Montgomery, Geraint Rees, Rosalind Raine, Kevin Sullivan, Syed Moinuddin, Derek D'Souza, Olaf Ronneberger, Ruheena Mendes, Julien Cornebise

Peer Reviewers Yuan Feng

PUBLISHED 30 Aug 2016

Software Tool Article metrics

Revised

DREAMTools: a Python package for scoring collaborative challenges

[version 2; peer review: 1 approved, 2 approved with reservations]

Thomas Cokelaer, Mukesh Bansal, Christopher Bare, Erhan Bilal, Brian M. Bot, Elias Chaibub Neto, Federica Eduati, Alberto de la Fuente, Mehmet Gönen, Steven M. Hill, Bruce Hoff, Jonathan R. Karr, Robert Küffner, Michael P. Menden, Pablo Meyer, Raquel Norel, Abhishek Pratap, Robert J. Prill, Matthew T. Weirauch, James C. Costello, Gustavo Stolovitzky, Julio Saez-Rodriguez

Peer Reviewers Konrad Hinsen; Rafael Najmanovich; Nicola J. Mulder

LATEST VERSION PUBLISHED 08 Apr 2016

Method Article metrics

Prediction of fine-tuned promoter activity from DNA sequence

[version 1; peer review: 1 approved, 2 approved with reservations]

Geoffrey Siwo, Andrew Rider, Asako Tan, Richard Pinapati, Scott Emrich, Nitesh Chawla, Michael Ferdig

Peer Reviewers Paul Pavlidis; Jianhua Ruan; Jan Grau

PUBLISHED 11 Feb 2016

Method Article metrics

Update

Prediction of multi-drug resistance transporters using a novel sequence analysis method

[version 2; peer review: 2 approved]

Jason E. McDermott, Paul Bruillard, Christopher C. Overall, Luke Gosink, Stephen R. Lindemann

Peer Reviewers Robert Flight; David Anthony Baltrus

LATEST VERSION PUBLISHED 29 May 2015

Gateway Areas

Fundamentals in AI and Machine Learning

This area focuses on recent breakthroughs, important advancements, and research findings in the domains of artificial intelligence... Read more
AI in Medicine and Healthcare

This area focuses on the transdisciplinary domain of AI applied to medicine and healthcare and aims to further leverage the... Read more
AI in Manufacturing, Materials and Smart Cities

This area aims to utilize the functionality and forward-thinking nature of AI and Machine Learning in order to improve engineering... Read more
AI in Humanities and Social Sciences

This area focuses on the use of AI across the social sciences and humanities, and the impact of AI in these disciplines.... Read more
AI and Cybersecurity

Cybersecurity is one of the biggest concerns of modern societies - for governments, companies and individuals. At the forefront... Read more

Our News

AI/ML using Multi-omics and Healthcare Data for Precision Medicine
The AI/ML using Multi-omics and Healthcare Data for Precision Medicine Collection is open for submissions, and being led by Guest Advisor, Zeeshan Ahmed. For more information, please contact [email protected]
Cybersecurity
The Cybersecurity collection is open for submissions, and being led by Guest Advisor, Randy Kuang. For more information, please contact [email protected]
Artificial Intelligence in Real Life
The Artificial Intelligence in Real Life collection is open for submissions, and being led by Guest Advisor, Fang Wang. For more information, please contact [email protected]
Artificial Intelligence in Academic Research
The Artificial Intelligence in Academic Research collection is open for submissions, and being led by Guest Advisors, Giovanni Colavizza and Vincent Traag. For more information, please contact [email protected]
AI for Music
The AI for Music collection is open for submissions, and being led by Guest Advisors, Oded Ben-Tal and Roger B Dannenberg. For more information, please contact [email protected]
AI and Democracy
The AI and Democracy collection is open for submissions, and being led by Guest Advisors, Zach Bastick and Chris Starke. For more information, please contact [email protected]
Machine learning: life sciences
The Machine learning: life sciences collection is open for submissions, and being led by Guest Advisors, Denis Bauer and Maneesh Sahani. For more information, please contact [email protected]
Artificial Intelligence and the Social Sciences and Humanities
Artificial Intelligence and the Social Sciences and Humanities collection is open for submissions from Horizon grant recipients on Open Research Europe. It is led by Guest Advisor, Anaïs Rességuier. For more information, please contact [email protected]
AI in Medicine and Healthcare
The AI in Medicine and Healthcare collection is open for submissions, and being led by Guest Advisors, Parag Chatterjee and Sally Ellingson. For more information, please contact [email protected]
Machine Learning in Drug Discovery and Development
The Machine Learning in Drug Discovery and Development collection is open for submissions, and being led by Guest Advisor, Sally Ellingson. For more information, please contact [email protected]
Machine Learning in Genomics
The Machine Learning in Genomics collection is open for submissions, and being led by Guest Advisors, Maxwell Libbrecht and Jie Liu. For more information, please contact [email protected]