Results 61 to 70 of about 41,704 (120)

Survival ensembles [PDF]

Biostatistics, 2005
We propose a unified and flexible framework for ensemble learning in the presence of censoring. For right-censored data, we introduce a random forest algorithm and a generic gradient boosting algorithm for the construction of prognostic and diagnostic models.
Torsten, Hothorn, Peter, Bühlmann, Sandrine, Dudoit, Annette, Molinaro, Mark J, van der Laan   +4 more
openaire   +2 more sources

Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features

Frontiers in Computational Neuroscience, 2020
Accurate segmentation of different sub-regions of gliomas such as peritumoral edema, necrotic core, enhancing, and non-enhancing tumor core from multimodal MRI scans has important clinical relevance in diagnosis, prognosis and treatment of brain tumors ...
Xue Feng, Nicholas J. Tustison, Sohil H. Patel, Craig H. Meyer, Craig H. Meyer   +4 more
doaj   +1 more source

Ensembl 2005 [PDF]

Nucleic Acids Research, 2004
The Ensembl (http://www.ensembl.org/) project provides a comprehensive and integrated source of annotation of large genome sequences. Over the last year the number of genomes available from the Ensembl site has increased by 7 to 16, with the addition of the six vertebrate genomes of chimpanzee, dog, cow, chicken, tetraodon and frog and the insect ...
Hubbard, T, Andrews, D, Caccamo, M, Cameron, G, Chen, Y, Clamp, M, Clarke, L, Coates, G, Cox, T, Cunningham, F, Curwen, V, Cutts, T, Down, T, Durbin, R, Fernandez-Suarez, X M, Gilbert, J, Hammond, M, Herrero, J, Hotz, H, Howe, K, Iyer, V, Jekosch, K, Kahari, A, Kasprzyk, A, Keefe, D, Keenan, S, Kokocinsci, F, London, D, Longden, I, McVicker, G, Melsopp, C, Meidl, P, Potter, S, Proctor, G, Rae, M, Rios, D, Schuster, M, Searle, S, Severin, J, Slater, G, Smedley, D, Smith, J, Spooner, W, Stabenau, A, Stalker, J, Storey, R, Trevanion, S, Ureta-Vidal, A, Vogel, J, White, S, Woodwark, C, Birney, E, Hubbard, Tim   +52 more
openaire   +3 more sources

Ensembl 2014 [PDF]

Nucleic Acids Research, 2013
Ensembl (http://www.ensembl.org) creates tools and data resources to facilitate genomic analysis in chordate species with an emphasis on human, major vertebrate model organisms and farm animals. Over the past year we have increased the number of species that we support to 77 and expanded our genome browser with a new scrollable overview and improved ...
Paul Flicek, M. Ridwan Amode, Daniel Barrell, Kathryn Beal, Konstantinos Billis, Simon Brent, Denise Carvalho-Silva, Peter Clapham, Guy Coates, Stephen Fitzgerald, Laurent Gil, Carlos García-Girón, Leo Gordon, Thibaut Hourlier, Sarah E. Hunt, Nathan Johnson, Thomas Juettemann, Andreas Kähäri, Stephen Keenan, Eugene Kulesha, Fergal J. Martin, Thomas Maurel, William M. McLaren, Daniel N. Murphy, Rishi Nag, Bert Overduin, Miguel Pignatelli, Bethan Pritchard, Emily Pritchard, Harpreet Singh Riat, Magali Ruffier, Daniel Sheppard, Kieron R. Taylor, Anja Thormann, Stephen J. Trevanion, Alessandro Vullo, Steven P. Wilder, Mark Wilson 0002, Amonida Zadissa, Bronwen L. Aken, Ewan Birney, Fiona Cunningham, Jennifer L. Harrow, Javier Herrero, Tim J. P. Hubbard, Rhoda Kinsella, Matthieu Muffato, Anne Parker, Giulietta Spudich, Andy Yates, Daniel R. Zerbino, Stephen M. J. Searle   +51 more
openaire   +4 more sources

Artificial Neural Network Based Ensemble Approach for Multicultural Facial Expressions Analysis

IEEE Access, 2020
Facial expressions convey exhaustive information about human emotions and the most interactive way of social collaborations, despite differences in ethnicity, culture, and geography. Due to cultural differences, the variations in facial structure, facial
Ghulam Ali, Amjad Ali, Farman Ali, Umar Draz, Fiaz Majeed, Sana Yasin, Tariq Ali, Noman Haider   +7 more
doaj   +1 more source

Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson's Disease

Frontiers in Neuroinformatics, 2018
In last years, several approaches to develop an effective Computer-Aided-Diagnosis (CAD) system for Parkinson's Disease (PD) have been proposed. Most of these methods have focused almost exclusively on brain images through the use of Machine-Learning ...
Diego Castillo-Barnes, Javier Ramírez, Fermín Segovia, Francisco J. Martínez-Murcia, Diego Salas-Gonzalez, Juan M. Górriz   +5 more
doaj   +1 more source

Falsification‐Oriented Signature‐Based Evaluation for Guiding the Development of Land Surface Models and the Enhancement of Observations

Journal of Advances in Modeling Earth Systems, 2020
We develop a novel framework for rigorously evaluating land surface models (LSMs) against observations by recognizing the asymmetry between verification‐ and falsification‐oriented approaches. The former approach cannot completely verify LSMs even though
Hui Zheng, Zong‐Liang Yang, Peirong Lin, Wen‐Ying Wu, Lingcheng Li, Zhongfeng Xu, Jiangfeng Wei, Long Zhao, Qingyun Bian, Shu Wang   +9 more
doaj   +1 more source

Ensemble Sampling

CoRR, 2017
Thompson sampling has emerged as an effective heuristic for a broad range of online decision problems. In its basic form, the algorithm requires computing and sampling from a posterior distribution over models, which is tractable only for simple special cases.
Xiuyuan Lu, Benjamin Van Roy
openaire   +3 more sources

Humeral head size predicts baseplate lateralization in reverse shoulder arthroplasty: a comparative computer model study

JSES International
Background: In reverse shoulder arthroplasty (RSA), the ideal combination of baseplate lateralization (BL), glenosphere size (GS), and glenosphere overhang (GOH) with a commonly used 145° neck shaft angle (NSA) is unclear.
Stefan Bauer, MD, William G. Blakeney, MD, Arnaud Meylan, MD, Jaad Mahlouly, MD, Allan W Wang, MD, Arnaud Walch, MD, Luca Tolosano, MD   +6 more
doaj   +1 more source

Analysis of Multiobjective Algorithms for the Classification of Multi-Label Video Datasets

IEEE Access, 2020
It is of great importance to extract and validate an optimal subset of non-dominated features for effective multi-label classification. However, deciding on the best subset of features is an NP-Hard problem and plays a key role in improving the ...
Gizem Nur Karagoz, Adnan Yazici, Tansel Dokeroglu, Ahmet Cosar   +3 more
doaj   +1 more source