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    Author information
    First name: Andrew S.
    Last name: Lan
    DBLP: 127/6503
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    Below you find the publications which have been written by this author.

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    Journal article
    Amirali Aghazadeh, Mohammad Golbabaee, Andrew S. Lan, Richard G. Baraniuk.
    Insense: Incoherent Sensor Selection for Sparse Signals.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Joshua J. Michalenko, Andrew S. Lan, Richard G. Baraniuk.
    Data-Mining Textual Responses to Uncover Misconception Patterns.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Joshua J. Michalenko, Andrew S. Lan, Richard G. Baraniuk.
    D.TRUMP: Data-mining Textual Responses to Uncover Misconception Patterns.
    Proceedings of the Fourth ACM Conference on Learning @ Scale, L@S 2017, Cambridge, MA, USA, April 20-21, 2017 2017 (0) 2017
    Conference paper
    Indu Manickam, Andrew S. Lan, Richard G. Baraniuk.
    Contextual multi-armed bandit algorithms for personalized learning action selection.
    2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017 2017 (0) 2017
    Conference paper
    Amirali Aghazadeh, Andrew S. Lan, Anshumali Shrivastava, Richard G. Baraniuk.
    RHash: Robust Hashing via L_infinity-norm Distortion.
    Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 2017 (0) 2017
    Conference paper
    Andrew S. Lan, Andrew E. Waters, Christoph Studer, Richard G. Baraniuk.
    BLAh: Boolean Logic Analysis for Graded Student Response Data.
    J. Sel. Topics Signal Processing 2017, Volume 11 (0) 2017
    Conference paper
    Amirali Aghazadeh, Andrew S. Lan, Anshumali Shrivastava, Richard G. Baraniuk.
    Near-Isometric Binary Hashing for Large-scale Datasets.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Andrew S. Lan, Tom Goldstein, Richard G. Baraniuk, Christoph Studer.
    Dealbreaker: A Nonlinear Latent Variable Model for Educational Data.
    Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016 2016 (0) 2016
    Conference paper
    Andrew S. Lan, Richard G. Baraniuk.
    A Contextual Bandits Framework for Personalized Learning Action Selection.
    Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016 2016 (0) 2016
    Conference paper
    Divyanshu Vats, Andrew S. Lan, Christoph Studer, Richard G. Baraniuk.
    Optimal ranking of test items using the Rasch model.
    54th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2016, Monticello, IL, USA, September 27-30, 2016 2016 (0) 2016
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