John Guttag

John Vogel Guttag (born March 6, 1949) is an American computer scientist, professor, and former head of the department of electrical engineering and computer science at MIT. He conducts research on computer networks and medical applications of AI as co-lead of the MIT Computer Science and Artificial Intelligence Laboratory's Networks and Mobile Systems Group. Provided by Wikipedia
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  1. 1
    6.00SC Introduction to Computer Science and Programming, Spring 2011

    6.00SC Introduction to Computer Science and Programming, Spring 2011 by Guttag, John

    Published 2023
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  2. 2
    6.00 Introduction to Computer Science and Programming, Fall 2007

    6.00 Introduction to Computer Science and Programming, Fall 2007 by Guttag, John

    Published 2007
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  3. 3
    Introduction to computation and programming using Python /

    Introduction to computation and programming using Python / by Guttag, John V.

    Published 2013
  4. 4
    A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle

    A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle by Suresh, Harini, Guttag, John

    Published 2022
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  5. 5
    A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle

    A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle by Suresh, Harini, Guttag, John

    Published 2022
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  6. 6
    6.00 Introduction to Computer Science and Programming, Fall 2008

    6.00 Introduction to Computer Science and Programming, Fall 2008 by Grimson, Eric, Guttag, John

    Published 2023
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  7. 7
    Capacity Allocation in Wireless LANs

    Capacity Allocation in Wireless LANs by Tan, Godfrey, Guttag, John

    Published 2005
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  8. 8
    Program development in Java : abstraction, specification and object-oriented design /

    Program development in Java : abstraction, specification and object-oriented design / by 395003 Liskov, Barbara, Guttag, John

    Published 2001
  9. 9
    Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data

    Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data by Syed, Zeeshan, Guttag, John V.

    Published 2011
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  10. 10
    Patient-Adaptive Ectopic Beat Classification using Active Learning

    Patient-Adaptive Ectopic Beat Classification using Active Learning by Wiens, J., Guttag, John V.

    Published 2012
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  11. 11
    Weighted Time Warping for Temporal Segmentation of Multi-Parameter Physiological Signals

    Weighted Time Warping for Temporal Segmentation of Multi-Parameter Physiological Signals by Ganeshapillai, Gartheeban, Guttag, John V.

    Published 2012
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  12. 12
    Real time reconstruction of quasiperiodic multi parameter physiological signals

    Real time reconstruction of quasiperiodic multi parameter physiological signals by Ganeshapillai, Gartheeban, Guttag, John V.

    Published 2013
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  13. 13
    Bolt: Accelerated Data Mining with Fast Vector Compression

    Bolt: Accelerated Data Mining with Fast Vector Compression by Blalock, Davis W., Guttag, John V.

    Published 2021
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  14. 14
    EXTRACT: Strong Examples from Weakly-Labeled Sensor Data

    EXTRACT: Strong Examples from Weakly-Labeled Sensor Data by Blalock, Davis W., Guttag, John V.

    Published 2021
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  15. 15
    Memory Assignment for Multiprocessor Caches Through Graph Coloring

    Memory Assignment for Multiprocessor Caches Through Graph Coloring by Agarwal, Anant, Guttag, John, Papaefthymiou, Marios

    Published 2023
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  16. 16
    Preliminary Report on the Larch Shared Language*

    Preliminary Report on the Larch Shared Language* by Guttag, John V., Horning, J.J.

    Published 2023
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  17. 17
    Developing a Data-Driven Player Ranking in Soccer Using Predictive Model Weights

    Developing a Data-Driven Player Ranking in Soccer Using Predictive Model Weights by Brooks, Joel David, Kerr, Matthew, Guttag, John

    Published 2019
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  18. 18
    Learning the probability of activation in the presence of latent spreaders

    Learning the probability of activation in the presence of latent spreaders by Makar, Maggie, Guttag, John V, Wiens, Jenna

    Published 2021
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  19. 19
    Quantifying morphology changes in time series data with skew

    Quantifying morphology changes in time series data with skew by Sung, Phil, Syed, Zeeshan, Guttag, John V.

    Published 2011
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  20. 20
    Learning Approximate Sequential Patterns for Classification

    Learning Approximate Sequential Patterns for Classification by Syed, Zeeshan, Indyk, Piotr, Guttag, John V.

    Published 2011
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