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Disambiguation of "Turner, T. J."

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Black hole feedback in the luminous quasar PDS 456

, , , , , , , , , , , , , , , , , , , and . (2015)cite arxiv:1502.06636Comment: Published in Science on February 20: http://www.sciencemag.org/content/347/6224/860.abstract (This is the author's version: 29 pages, 8 figures, 3 tables, including Supplementary Material).
DOI: 10.1126/science.1259202

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H J M Turner

Ernst Turner

John Turner

Anke Turner

Ernst Turner

 

Other publications of authors with the same name

Convolutional Architecture Exploration for Action Recognition and Image Classification., , , and . CoRR, (2015)Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study., , and . AAAI Spring Symposia, AAAI Press, (2017)Steps toward Determination of the Size and Structure of the Broad-Line Region in Active Galactic Nuclei. XI. Intensive Monitoring of the Ultraviolet Spectrum of NGC 7469, , , , , , , , , and 47 other author(s). The Astrophysical Journal Supplement Series, 113 (1): 69 (1997)NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery., , , and . ICCBR, volume 11680 of Lecture Notes in Computer Science, page 373-387. Springer, (2019)Black hole feedback in the luminous quasar PDS 456, , , , , , , , , and 10 other author(s). (2015)cite arxiv:1502.06636Comment: Published in Science on February 20: http://www.sciencemag.org/content/347/6224/860.abstract (This is the author's version: 29 pages, 8 figures, 3 tables, including Supplementary Material).Novel Object Discovery Using Case-Based Reasoning and Convolutional Neural Networks., , , and . ICCBR, volume 11156 of Lecture Notes in Computer Science, page 399-414. Springer, (2018)SPARCNN: Spatially related convolutional neural networks., , and . AIPR, page 1-6. IEEE Computer Society, (2016)Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods., , , and . FLAIRS, AAAI Press, (2014)Keypoint Density-based Region Proposal for Fine-Grained Object Detection and Classification using Regions with Convolutional Neural Network Features., , , and . CoRR, (2016)Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection., , , and . CoRR, (2017)