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Books
Philosophical dissertations on the uncertainty of human knowledge. [electronic resource] : By the Marquis D'Argens, author of the Jewish spy. Viz. I. Of the Uncertainty of History. II. Concerning Logi...
Author / Creator:Argens, Jean-Baptiste de Boyer, marquis d', 1704-1771.
Publisher:London : printed for J. Wren, at the Bible and Crown, in Salisbury-Court, Fleet-Street, 1753.
Date:1753.
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Books
This new ocean : the story of the first space age / William E. Burrows.
Author / Creator:Burrows, William E., 1937-
Publisher:New York : Random House, c1998.
Edition:1st ed.
Call Numbers:N629.4/76
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ebooks
Arguably [electronic resource].
Author / Creator:Hitchens, Christopher.
Publisher:Sydney : Allen & Unwin, 2011.
Date:2011.
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Books
Arguably : essays / by Christopher Hitchens.
Author / Creator:Hitchens, Christopher.
Publisher:New York : Twelve, 2011.
Edition:1st ed.
Date:2011.
Call Numbers:N814.54/52
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ArticlesPeer ReviewedFull Text
GRAVITY SPY
Author / Creator:Castelvecchi, Davide
Publisher:London: Nature Publishing Group
Journal title:Nature (London), 2016-12, Vol.540 (7634), p.508
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ArticlesPeer ReviewedFull Text
Gravity Spy: lessons learned and a path forward
Author / Creator:Zevin, Michael ; Jackson, Corey B. ; Doctor, Zoheyr ; Wu, Yunan ; Østerlund, Carsten ; Johnson, L. Clifton ; Berry, Christopher P. L. ; Crowston, Kevin ; Coughlin, Scott B. ; Kalogera, Vicky ; Banagiri, Sharan ; Davis, Derek ; Glanzer, Jane ; Hao, Renzhi ; Katsaggelos, Aggelos K. ; Patane, Oli ; Sanchez, Jennifer ; Smith, Joshua ; Soni, Siddharth ; Trouille, Laura ; Walker, Marissa ; Aerith, Irina ; Domainko, Wilfried ; Baranowski, Victor-Georges ; Niklasch, Gerhard ; Téglás, Barbara
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European physical journal plus, 2024-01, Vol.139 (1), p.100, Article 100
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ArticlesPeer ReviewedFull Text
Supporting Human and Machine Co-Learning in Citizen Science: Lessons From Gravity Spy
Author / Creator:Østerlund, Carsten ; Crowston, Kevin ; Jackson, Corey B ; Wu, Yunan ; Smith, Alexander O ; Katsaggelos, Aggelos K
Publisher:Cambridge: Ubiquity Press Ltd
Journal title:Citizen science : theory and practice, 2024-12, Vol.9 (1), p.42-42
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ArticlesFull Text
Gravity Spy: Lessons Learned and a Path Forward
Author / Creator:Zevin, Michael ; Jackson, Corey B ; Doctor, Zoheyr ; Wu, Yunan ; Østerlund, Carsten ; L Clifton Johnson ; Berry, Christopher P L ; Crowston, Kevin ; Coughlin, Scott B ; Kalogera, Vicky ; Sharan Banagiri ; Davis, Derek ; Glanzer, Jane ; Hao, Renzhi ; Katsaggelos, Aggelos K ; Patane, Oli ; Sanchez, Jennifer ; Smith, Joshua ; Soni, Siddharth ; Trouille, Laura ; Walker, Marissa ; Aerith, Irina ; Domainko, Wilfried ; Victor-Georges Baranowski ; Niklasch, Gerhard ; Téglás, Barbara
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2024-02
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ArticlesFull Text
Training Process of Unsupervised Learning Architecture for Gravity Spy Dataset
Author / Creator:Sakai, Yusuke ; Itoh, Yousuke ; Jung, Piljong ; Kokeyama, Keiko ; Kozakai, Chihiro ; Nakahira, Katsuko T ; Oshino, Shoichi ; Shikano, Yutaka ; Takahashi, Hirotaka ; Uchiyama, Takashi ; Ueshima, Gen ; Washimi, Tatsuki ; Yamamoto, Takahiro ; Yokozawa, Takaaki
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2022-08
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ArticlesFull Text
Data quality up to the third observing run of Advanced LIGO: Gravity Spy glitch classifications
Author / Creator:Glanzer, J ; Banagiri, S ; Coughlin, S B ; Soni, S ; Zevin, M ; Berry, C P L ; Patane, O ; Bahaadini, S ; Rohani, N ; Crowston, K ; Kalogera, V ; Østerlund, C ; Katsaggelos, A
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2023-02
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ArticlesPeer ReviewedFull Text
Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation
Author / Creator:Koyama, Naoki ; Sakai, Yusuke ; Sasaoka, Seiya ; Dominguez, Diego ; Somiya, Kentaro ; Omae, Yuto ; Terada, Yoshikazu ; Meyer-Conde, Marco ; Takahashi, Hirotaka
Publisher:Bristol: IOP Publishing
Journal title:Machine learning: science and technology, 2024-09, Vol.5 (3), p.35028
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ReportsFull Text
Supporting Human and Machine Co-Learning in Citizen Science: Lessons From Gravity Spy
Author / Creator:Østerlund, Carsten ; Crowston, Kevin ; Jackson, Corey B ; Wu, Yunan ; Smith, Alexander O ; Katsaggelos, Aggelos K
Publisher:Ubiquity Press Ltd
Journal title:Citizen Science: Theory and Practice, 2024, Vol.9 (1)
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ArticlesFull Text
A new method to distinguish gravitational-wave signals from detector noise transients with Gravity Spy
Author / Creator:Jarov, Seraphim ; Thiele, Sarah ; Soni, Siddharth ; Ding, Julian ; McIver, Jess ; Ng, Raymond ; Hatoya, Rikako ; Davis, Derek
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2024-02
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ArticlesFull Text
Advancing Glitch Classification in Gravity Spy: Multi-view Fusion with Attention-based Machine Learning for Advanced LIGO's Fourth Observing Run
Author / Creator:Wu, Yunan ; Zevin, Michael ; Berry, Christopher P L ; Crowston, Kevin ; Østerlund, Carsten ; Doctor, Zoheyr ; Sharan Banagiri ; Jackson, Corey B ; Kalogera, Vicky ; Katsaggelos, Aggelos K
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2024-01
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ArticlesFull Text
Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science
Author / Creator:Zevin, Michael ; Coughlin, Scott ; Bahaadini, Sara ; Besler, Emre ; Rohani, Neda ; Allen, Sarah ; Cabero, Miriam ; Crowston, Kevin ; Katsaggelos, Aggelos K ; Larson, Shane L ; Lee, Tae Kyoung ; Lintott, Chris ; Littenberg, Tyson B ; Lundgren, Andrew ; Oesterlund, Carsten ; Smith, Joshua R ; Trouille, Laura ; Kalogera, Vicky
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2017-02
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ArticlesPeer ReviewedFull Text
Unsupervised learning architecture for classifying the transient noise of interferometric gravitational-wave detectors
Author / Creator:Sakai, Yusuke ; Itoh, Yousuke ; Jung, Piljong ; Kokeyama, Keiko ; Kozakai, Chihiro ; Nakahira, Katsuko T. ; Oshino, Shoichi ; Shikano, Yutaka ; Takahashi, Hirotaka ; Uchiyama, Takashi ; Ueshima, Gen ; Washimi, Tatsuki ; Yamamoto, Takahiro ; Yokozawa, Takaaki
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2022-06, Vol.12 (1), p.9935-9935, Article 9935
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ArticlesPeer ReviewedFull Text
Building an Apparatus: Refractive, Reflective, and Diffractive Readings of Trace Data
Author / Creator:Østerlund, Carsten ; Crowston, Kevin ; Jackson, Corey
Publisher:Atlanta: Association for Information Systems
Journal title:Journal of the Association for Information Systems, 2020, Vol.21 (1), p.1-22
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ArticlesPeer ReviewedFull Text
Folksonomies to Support Coordination and Coordination of Folksonomies
Author / Creator:Jackson, Corey ; Crowston, Kevin ; Østerlund, Carsten ; Harandi, Mahboobeh
Publisher:Dordrecht: Springer Netherlands
Journal title:Computer supported cooperative work, 2018-12, Vol.27 (3-6), p.647-678
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ArticlesPeer ReviewedFull Text
Utilizing Convolutional Autoencoder for Anomaly Detections in LIGO Spectrogram Data
Author / Creator:Imran, Adrian Ramadhana
Publisher:Bristol: IOP Publishing
Journal title:Journal of physics. Conference series, 2024-03, Vol.2734 (1), p.12048
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ArticlesFull Text
Convolutional Neural Networks for the classification of glitches in gravitational-wave data streams
Author / Creator:Fernandes, Tiago S ; Vieira, Samuel J ; Onofre, Antonio ; Juan Calderón Bustillo ; Torres-Forné, Alejandro ; Font, José A
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2023-03
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Philosophical dissertations on the uncertainty of human knowledge. [electronic resource] : By the Marquis D'Argens, author of the Jewish spy. Viz. I. Of the Uncertainty of History. II. Concerning Logi...

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This new ocean : the story of the first space age / William E. Burrows.

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Arguably [electronic resource].

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Arguably : essays / by Christopher Hitchens.

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GRAVITY SPY

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Gravity Spy: lessons learned and a path forward

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Supporting Human and Machine Co-Learning in Citizen Science: Lessons From Gravity Spy

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Gravity Spy: Lessons Learned and a Path Forward

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Training Process of Unsupervised Learning Architecture for Gravity Spy Dataset

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Data quality up to the third observing run of Advanced LIGO: Gravity Spy glitch classifications

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Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation

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Supporting Human and Machine Co-Learning in Citizen Science: Lessons From Gravity Spy

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A new method to distinguish gravitational-wave signals from detector noise transients with Gravity Spy

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Advancing Glitch Classification in Gravity Spy: Multi-view Fusion with Attention-based Machine Learning for Advanced LIGO's Fourth Observing Run

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Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science

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Unsupervised learning architecture for classifying the transient noise of interferometric gravitational-wave detectors

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Building an Apparatus: Refractive, Reflective, and Diffractive Readings of Trace Data

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Folksonomies to Support Coordination and Coordination of Folksonomies

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Utilizing Convolutional Autoencoder for Anomaly Detections in LIGO Spectrogram Data

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Convolutional Neural Networks for the classification of glitches in gravitational-wave data streams

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