Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning

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181-196 of 196 ARTICLES
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 in 
https://doi.org/10.12688/f1000research.15619.1
Research Article metrics
Exploring machine learning: A bibliometric general approach using Citespace
[version 1; peer review: 1 approved, 1 approved with reservations]
Juan Rincon-Patino, Gustavo Ramirez-Gonzalez, Juan Carlos Corrales
Peer Reviewers Sally Ellingson; Chaomei Chen
  • Funder
  • Universidad del Cauca
PUBLISHED 10 Aug 2018
https://doi.org/10.12688/f1000research.15620.1
Research Article metrics
Exploring machine learning: A bibliometric general approach using SciMAT
[version 1; peer review: 2 approved with reservations]
Juan Rincon-Patino, Gustavo Ramirez-Gonzalez, Juan Carlos Corrales
Peer Reviewers Rajesh Kumar Tiwari; Mikhail G. Dozmorov
  • Funder
  • Universidad del Cauca
PUBLISHED 07 Aug 2018
https://doi.org/10.12688/f1000research.13114.2
Research Article metrics
Revised
Collaboration between a human group and artificial intelligence can improve prediction of multiple sclerosis course: a proof-of-principle study
[version 2; peer review: 1 approved, 2 approved with reservations]
Andrea Tacchella, Silvia Romano, Michela Ferraldeschi, Marco Salvetti, Andrea Zaccaria, Andrea Crisanti, Francesca Grassi
Peer Reviewers Bruno Bonetti; Roger Tam; Bjoern Menze
  • Funders
  • Consiglio Nazionale delle Ricerche
  • Fondazione Italiana Sclerosi Multipla
LATEST VERSION PUBLISHED 01 Aug 2018
https://doi.org/10.12688/f1000research.15591.1
Method Article metrics
Revealing HIV viral load patterns using unsupervised machine learning and cluster summarization
[version 1; peer review: 1 approved, 1 approved with reservations]
Samir A. Farooq, Samuel J. Weisenthal, Melissa Trayhan, Robert J. White, Kristen Bush, Peter R. Mariuz, Martin S. Zand
Peer Reviewers Sally Blower; Amalio Telenti
  • Funders
  • National Center for Advancing Translational Sciences
  • National Institute of Allergy and Infectious Diseases
PUBLISHED 27 Jul 2018
https://doi.org/10.12688/f1000research.14048.2
Research Article metrics
Revised
Predicting ionizing radiation exposure using biochemically-inspired genomic machine learning
[version 2; peer review: 3 approved]
Jonathan Z.L. Zhao, Eliseos J. Mucaki, Peter K. Rogan
Peer Reviewers Daniel Oh; Michael D. Story and Liang-hao Ding; Roel Quintens and Mohamed Mysara
  • Funders
  • Natural Sciences and Engineering Research Council of Canada
  • Canada Excellence Research Chairs, Government of Canada
  • CytoGnomix Inc.
  • Canadian Foundation for Innovation
LATEST VERSION PUBLISHED 15 Jun 2018
https://doi.org/10.12688/f1000research.13723.2
Opinion Article metrics
Revised
Response heterogeneity: Challenges for personalised medicine and big data approaches in psychiatry and chronic pain
[version 2; peer review: 3 approved]
Agnes Norbury, Ben Seymour
Peer Reviewers Greg Atkinson and Philip J. Williamson; William G. Hopkins; Ricardo Silva
  • Funder
  • Wellcome Trust
LATEST VERSION PUBLISHED 01 Mar 2018
https://doi.org/10.12688/f1000research.9893.2
Software Tool Article metrics
Revised
exprso: an R-package for the rapid implementation of machine learning algorithms
[version 2; peer review: 2 approved]
Thomas Quinn, Daniel Tylee, Stephen Glatt
Peer Reviewers Dariusz Plewczynski and Julian Zubek; Henry Löffler-Wirth
LATEST VERSION PUBLISHED 06 Dec 2017
https://doi.org/10.12688/f1000research.12892.1
Study Protocol metrics
Development of a deep neural network derived from contours defined by consensus-based guidelines for automatic target segmentation in hepatocellular carcinoma radiotherapy: A study protocol
[version 1; peer review: 1 approved, 1 approved with reservations]
Jiandong Zhao, Jiazhou Wang, Mingxia Cheng
Peer Reviewers Laura A. Dawson; Sergio Casciaro
  • Funder
  • Shangfang Health Inc.
PUBLISHED 01 Nov 2017
https://doi.org/10.12688/f1000research.12693.1
Correspondence metrics
Unintended consequences of machine learning in medicine?
[version 1; peer review: 2 approved]
Laura McDonald, Sreeram V. Ramagopalan, Andrew P. Cox, Mustafa Oguz
Peer Reviewers Arturo Gonzalez-Izquierdo, Maria Pikoula and Spiros Denaxas; Hugo Schnack and Zimbo Boudewijns
PUBLISHED 19 Sep 2017
https://doi.org/10.12688/f1000research.10723.2
Data Note metrics
Revised
Prenatal brain MRI samples for development of automatic segmentation, target-recognition, and machine-learning algorithms to detect anatomical structures
[version 2; peer review: 2 not approved]
Hugues Gentillon, Ludomir Stefańczyk, Michał Strzelecki, Maria Respondek-Liberska
Peer Reviewers Ivana Išgum; Feng Shi
  • Funders
  • Polish National Health Fund
  • Medical University of Lodz & Polish Research Committee
  • Swedish Ministry of Education and Research
  • U.S. Department of Education
LATEST VERSION PUBLISHED 08 Sep 2017
https://doi.org/10.12688/f1000research.8996.2
Study Protocol metrics
Revised
Automated analysis of retinal imaging using machine learning techniques for computer vision
[version 2; peer review: 2 approved]
Jeffrey De Fauw, Pearse Keane, Nenad Tomasev, Daniel Visentin, George van den Driessche, Mike Johnson, Cian O Hughes, Carlton Chu, Joseph Ledsam, Trevor Back, Tunde Peto, Geraint Rees, Hugh Montgomery, Rosalind Raine, Olaf Ronneberger, Julien Cornebise
Peer Reviewers Yit Yang; Sandrine Zweifel
  • Funder
  • DeepMind
LATEST VERSION PUBLISHED 22 Jun 2017
https://doi.org/10.12688/f1000research.7217.3
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
https://doi.org/10.12688/f1000research.9525.1
Study Protocol metrics PEER REVIEW DISCONTINUED
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
https://doi.org/10.12688/f1000research.7118.2
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
https://doi.org/10.12688/f1000research.7485.1
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
https://doi.org/10.12688/f1000research.6200.2
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
181-196 of 196 ARTICLES
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