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Word sense disambiguation using hybrid swarm intelligence approach https://www.ncbi.nlm.nih.gov/pubmed/30571777 PLoS One. 2018 Dec 20;13(12):e0208695. doi: 10.1371/journal.pone.0208695. eCollection 2018.Word sense disambiguation using hybrid swarm intelligence approach.Al-Saiagh W1, Tiun S1, Al-Saffar A2, Awang S2, Al-Khaleefa AS3.Author information1Knowledge Technology Research Group (KT), Centre for Artificial Intelligent (CAIT), Universiti Kebangsaan Malaysi.. 더보기
Deep Feature Learning for Sudden Cardiac Arrest Detection in Automated External Defibrillators. https://www.ncbi.nlm.nih.gov/pubmed/30464177 Sci Rep. 2018 Nov 21;8(1):17196. doi: 10.1038/s41598-018-33424-9.Deep Feature Learning for Sudden Cardiac Arrest Detection in Automated External Defibrillators.Nguyen MT1, Nguyen BV1, Kim K2.Author information1School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, 61005, South Korea.2School of Elec.. 더보기
Optimal intensive care outcome prediction over time using machine learning. https://www.ncbi.nlm.nih.gov/pubmed/30427913 PLoS One. 2018 Nov 14;13(11):e0206862. doi: 10.1371/journal.pone.0206862. eCollection 2018.Optimal intensive care outcome prediction over time using machine learning.Meiring C1, Dixit A1, Harris S2, MacCallum NS2, Brealey DA2, Watkinson PJ3, Jones A4, Ashworth S5, Beale R4, Brett SJ5, Singer M2, Ercole A1.Author information1Division of Anaesthesia, Un.. 더보기
Computer vs human: Deep learning versus perceptual training for the detection of neck of femur fractures https://www.ncbi.nlm.nih.gov/pubmed/30407743 J Med Imaging Radiat Oncol. 2018 Nov 8. doi: 10.1111/1754-9485.12828. [Epub ahead of print]Computer vs human: Deep learning versus perceptual training for the detection of neck of femur fractures.Adams M1, Chen W2, Holcdorf D1, McCusker MW1,3, Howe PD2, Gaillard F1,3.Author information1Radiology Department, Royal Melbourne Hospital, Melbourne, Victori.. 더보기
Model-based and model-free pain avoidance learning. https://www.ncbi.nlm.nih.gov/pubmed/30370339 Brain Neurosci Adv. 2018 May 5;2:2398212818772964. doi: 10.1177/2398212818772964. eCollection 2018.Model-based and model-free pain avoidance learning.Wang O1,2, Lee SW3, O'Doherty J4, Seymour B1,5,6, Yoshida W1.Author information1Department of Neural Computation for Decision-making, Advanced Telecommunications Research Institute International, Kyoto, .. 더보기
Classification of needle-EMG resting potentials by machine learning. https://www.ncbi.nlm.nih.gov/pubmed/30353953 Muscle Nerve. 2018 Oct 24. doi: 10.1002/mus.26363. [Epub ahead of print]Classification of needle-EMG resting potentials by machine learning.Nodera H1, Osaki Y1, Yamazaki H1, Mori A1, Izumi Y1, Kaji R1.Author information1Department of Neurology, Tokushima University, Tokushima, Japan.AbstractINTRODUCTION:The diagnostic importance of audio signal charac.. 더보기
The Moral Machine experiment https://www.ncbi.nlm.nih.gov/pubmed/30356211 Nature. 2018 Oct 24. doi: 10.1038/s41586-018-0637-6. [Epub ahead of print]The Moral Machine experiment.Awad E1, Dsouza S1, Kim R1, Schulz J2, Henrich J2, Shariff A3, Bonnefon JF4, Rahwan I5,6.Author information1The Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.2Department of Human Evolutionary Biology, Harvard University, Cambri.. 더보기
Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy https://www.ncbi.nlm.nih.gov/pubmed/29928897 Gastroenterology. 2018 Oct;155(4):1069-1078.e8. doi: 10.1053/j.gastro.2018.06.037. Epub 2018 Jun 18.Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy.Urban G1, Tripathi P2, Alkayali T3, Mittal M2, Jalali F3, Karnes W3, Baldi P4.Author information1Department of Computer Science, University of Californ.. 더보기
Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy: A Prospective Study. https://www.ncbi.nlm.nih.gov/pubmed/30105375 Ann Intern Med. 2018 Sep 18;169(6):357-366. doi: 10.7326/M18-0249. Epub 2018 Aug 14.Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy: A Prospective Study.Mori Y1, Kudo SE1, Misawa M1, Saito Y2, Ikematsu H3, Hotta K4, Ohtsuka K5, Urushibara F1, Kataoka S1, Ogawa Y1, Maeda Y1, Takeda K1, Nakamura H1, Ich.. 더보기
Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using RCNN https://www.ncbi.nlm.nih.gov/pubmed/29895804 Sensors (Basel). 2018 Jun 12;18(6). pii: E1913. doi: 10.3390/s18061913.Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using Region-Based Convolutional Networks.Saleh K1, Hossny M2, Nahavandi S3.Author information1Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, Victoria 3216, .. 더보기

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