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Best matches for machine learning:

Machine Learning for Medical Imaging. Erickson BJ et al. Radiographics. (2017)

Machine Learning in Medicine. Deo RC et al. Circulation. (2015)

Introduction to machine learning. Ba┼čtanlar Y et al. Methods Mol Biol. (2014)

Search results

Items: 1 to 20 of 32493

1.

Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network.

Cho BJ, Bang CS, Park SW, Yang YJ, Seo SI, Lim H, Shin WG, Hong JT, Yoo YT, Hong SH, Choi JH, Lee JJ, Baik GH.

Endoscopy. 2019 Aug 23. doi: 10.1055/a-0981-6133. [Epub ahead of print]

PMID:
31443108
2.

Context-Aware Delivery of Ecological Momentary Assessment.

Aminikhanghahi S, Schmitter-Edgecombe M, Cook DJ.

IEEE J Biomed Health Inform. 2019 Aug 22. doi: 10.1109/JBHI.2019.2937116. [Epub ahead of print]

PMID:
31443058
3.

MILAMP: Multiple Instance Prediction of Amyloid Proteins.

Munir F, Gull S, Asif A, Minhas FUAA.

IEEE/ACM Trans Comput Biol Bioinform. 2019 Aug 22. doi: 10.1109/TCBB.2019.2936846. [Epub ahead of print]

PMID:
31443048
4.

The effect of feedback during training sessions on learning pattern-recognition based prosthesis control.

Kristoffersen MB, Franzke AW, van der Sluis CK, Murgia A, Bongers RM.

IEEE Trans Neural Syst Rehabil Eng. 2019 Aug 20. doi: 10.1109/TNSRE.2019.2929917. [Epub ahead of print]

PMID:
31443031
5.

VisTA: Integrating Machine Intelligence with Visualization to Support the Investigation of Think-Aloud Sessions.

Fan M, Wu K, Zhao J, Li Y, Wei W, Truong KN.

IEEE Trans Vis Comput Graph. 2019 Aug 20. doi: 10.1109/TVCG.2019.2934797. [Epub ahead of print]

PMID:
31443019
6.

explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning.

Spinner T, Schlegel U, Schafer H, El-Assady M.

IEEE Trans Vis Comput Graph. 2019 Aug 20. doi: 10.1109/TVCG.2019.2934629. [Epub ahead of print]

PMID:
31442998
7.

The What-If Tool: Interactive Probing of Machine Learning Models.

Wexler J, Pushkarna M, Bolukbasi T, Wattenberg M, Viegas F, Wilson J.

IEEE Trans Vis Comput Graph. 2019 Aug 20. doi: 10.1109/TVCG.2019.2934619. [Epub ahead of print]

PMID:
31442996
8.

Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness.

Snyder LS, Lin YS, Karimzadeh M, Goldwasser D, Ebert DS.

IEEE Trans Vis Comput Graph. 2019 Aug 20. doi: 10.1109/TVCG.2019.2934614. [Epub ahead of print]

PMID:
31442995
9.

Temporally Nonstationary Component Analysis; Application to Noninvasive Fetal Electrocardiogram Extraction.

Jamshidian-Tehrani F, Sameni R, Jutten C.

IEEE Trans Biomed Eng. 2019 Aug 22. doi: 10.1109/TBME.2019.2936943. [Epub ahead of print]

PMID:
31442967
10.

Protein secondary structure prediction using neural networks and deep learning: A review.

Wardah W, Khan MGM, Sharma A, Rashid MA.

Comput Biol Chem. 2019 Aug 12;81:1-8. doi: 10.1016/j.compbiolchem.2019.107093. [Epub ahead of print] Review.

PMID:
31442779
11.

Combining a gravitational search algorithm, particle swarm optimization, and fuzzy rules to improve the classification performance of a feed-forward neural network.

Huang ML, Chou YC.

Comput Methods Programs Biomed. 2019 Aug 8;180:105016. doi: 10.1016/j.cmpb.2019.105016. [Epub ahead of print]

PMID:
31442736
12.

Measurement of murine kidney functional biomarkers using DCE-MRI: A multi-slice TRICKS technique and semi-automated image processing algorithm.

Jiang K, Tang H, Mishra PK, Macura SI, Lerman LO.

Magn Reson Imaging. 2019 Aug 20. pii: S0730-725X(19)30185-7. doi: 10.1016/j.mri.2019.08.029. [Epub ahead of print]

PMID:
31442558
13.

Precision Surgical Therapy for Adenocarcinoma of the Esophagus and Esophagogastric Junction.

Rice TW, Lu M, Ishwaran H, Blackstone EH; Worldwide Esophageal Cancer Collaboration Investigators.

J Thorac Oncol. 2019 Aug 20. pii: S1556-0864(19)30667-7. doi: 10.1016/j.jtho.2019.08.004. [Epub ahead of print]

PMID:
31442498
14.

Prediction model development of late-onset preeclampsia using machine learning-based methods.

Jhee JH, Lee S, Park Y, Lee SE, Kim YA, Kang SW, Kwon JY, Park JT.

PLoS One. 2019 Aug 23;14(8):e0221202. doi: 10.1371/journal.pone.0221202. eCollection 2019.

PMID:
31442238
15.

Improving the Efficiency of Ligand-Binding Protein Design with Molecular Dynamics.

Pecora de Barros E, Schiffer JM, Vorobieva A, Dou J, Baker D, Amaro RE.

J Chem Theory Comput. 2019 Aug 23. doi: 10.1021/acs.jctc.9b00483. [Epub ahead of print]

PMID:
31442033
16.

Classification for liver ultrasound tomography by posterior attenuation correction with a phantom study.

Chen CI, Chen TB, Lu NH, Du WC, Liang CY, Liu KI, Hsu SY, Lin LW, Huang YH.

Proc Inst Mech Eng H. 2019 Aug 23:954411919871123. doi: 10.1177/0954411919871123. [Epub ahead of print]

PMID:
31441386
17.

[A TrAdaBoost-based method for detecting multiple subjects' P300 potentials].

Xu G, Lin F, Gong M, Li M, Yu H.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2019 Aug 25;36(4):531-540. doi: 10.7507/1001-5515.201811025. Chinese.

PMID:
31441252
18.

Collection of antimicrobial peptides database and its derivatives: Applications and beyond.

Waghu FH, Idicula-Thomas S.

Protein Sci. 2019 Aug 22. doi: 10.1002/pro.3714. [Epub ahead of print]

PMID:
31441165
19.

Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.

Wissel BD, Greiner HM, Glauser TA, Mangano FT, Santel D, Pestian JP, Szczesniak RD, Dexheimer JW.

Epilepsia. 2019 Aug 23. doi: 10.1111/epi.16320. [Epub ahead of print]

PMID:
31441044
20.

Augmenting Basin-Hopping With Techniques From Unsupervised Machine Learning: Applications in Spectroscopy and Ion Mobility.

Zhou C, Ieritano C, Hopkins WS.

Front Chem. 2019 Aug 7;7:519. doi: 10.3389/fchem.2019.00519. eCollection 2019. Review.

PMID:
31440497

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