Search Results - Vaughan, Joel

Refine Results
  1. 1
    Promoting Nursing Students’ Chemistry Success in a Collegiate Active Learning Environment: “If I Have Hope, I Will Try Harder”

    Promoting Nursing Students’ Chemistry Success in a Collegiate Active Learning Environment: “If I Have Hope, I Will Try Harder” by Smith, Andri L, Paddock, Jean R, Vaughan, Joel M, Parkin, David W

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  2. 2
    Guided inquiry activities for learning about the macro‐ and micronutrients in introductory nutrition courses

    Guided inquiry activities for learning about the macro‐ and micronutrients in introductory nutrition courses by Smith, Andri L., Purcell, Rebecca J., Vaughan, Joel M.

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  3. 3
    Supervised Machine Learning Techniques: An Overview with Applications to Banking

    Supervised Machine Learning Techniques: An Overview with Applications to Banking by Hu, Linwei, Chen, Jie, Vaughan, Joel, Aramideh, Soroush, Yang, Hanyu, Wang, Kelly, Sudjianto, Agus, Nair, Vijayan N.

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  4. 4
    Network-Wide Statistical Modeling, Prediction, and Monitoring of Computer Traffic

    Network-Wide Statistical Modeling, Prediction, and Monitoring of Computer Traffic by Vaughan, Joel, Stoev, Stilian, Michailidis, George

    Published in Technometrics
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  5. 5
    EXPLAINABLE NEURAL NETWORKS: Based on Additive Index Models

    EXPLAINABLE NEURAL NETWORKS: Based on Additive Index Models by Vaughan, Joel, Sudjianto, Agus, Brahimi, Erind, Chen, Jie, Nair, Vijayan N

    Published in The RMA Journal
    Get full text
    Article
    Save to List
    Saved in:
  6. 6
    On Global Modeling of Backbone Network Traffic

    On Global Modeling of Backbone Network Traffic by Stoev, Stilian, Michailidis, George, Vaughan, Joel

    Request full text
    Conference Proceeding
    Save to List
    Saved in:
  7. 7
    Testing a student generated hypothesis using student data

    Testing a student generated hypothesis using student data by McGowan, Herle M., Vaughan, Joel

    Published in Teaching statistics
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  8. 8
    Assessing Robustness of Machine Learning Models using Covariate Perturbations

    Assessing Robustness of Machine Learning Models using Covariate Perturbations by Arun, Prakash R, Bhattacharyya, Anwesha, Vaughan, Joel, Nair, Vijayan N

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Behavior of Hyper-Parameters for Selected Machine Learning Algorithms: An Empirical Investigation

    Behavior of Hyper-Parameters for Selected Machine Learning Algorithms: An Empirical Investigation by Bhattacharyya, Anwesha, Vaughan, Joel, Nair, Vijayan N

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Using Markov Boundary Approach for Interpretable and Generalizable Feature Selection

    Using Markov Boundary Approach for Interpretable and Generalizable Feature Selection by Bhattacharyya, Anwesha, Wang, Yaqun, Vaughan, Joel, Nair, Vijayan N

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    Quantifying Inherent Randomness in Machine Learning Algorithms

    Quantifying Inherent Randomness in Machine Learning Algorithms by Raste, Soham, Singh, Rahul, Vaughan, Joel, Nair, Vijayan N

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    Interpretable Feature Engineering for Time Series Predictors using Attention Networks

    Interpretable Feature Engineering for Time Series Predictors using Attention Networks by Wang, Tianjie, Chen, Jie, Vaughan, Joel, Nair, Vijayan N

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  13. 13
    Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations

    Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations by Shen, Yueyang, Sudjianto, Agus, Arun, Prakash R, Bhattacharyya, Anwesha, Rao, Maorong, Wang, Yaqun, Vaughan, Joel, Zhou, Nengfeng

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification

    Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification by Xu, Shaojie, Vaughan, Joel, Chen, Jie, Zhang, Aijun, Sudjianto, Agus

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons

    Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons by Xu, Shaojie, Vaughan, Joel, Chen, Jie, Sudjianto, Agus, Nair, Vijayan

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    Adaptive Explainable Neural Networks (AxNNs)

    Adaptive Explainable Neural Networks (AxNNs) by Chen, Jie, Vaughan, Joel, Nair, Vijayan N, Sudjianto, Agus

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modeling

    Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modeling by Srivastava, Akash, Bansal, Yamini, Ding, Yukun, Cole Lincoln Hurwitz, Xu, Kai, Egger, Bernhard, Sattigeri, Prasanna, Tenenbaum, Joshua B, Sudjianto, Agus, Le, Phuong, Arun, Prakash R, Zhou, Nengfeng, Vaughan, Joel, Wang, Yaqun, Bhattacharyya, Anwesha, Greenewald, Kristjan, Cox, David D, Gutfreund, Dan

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    Supervised Machine Learning Techniques: An Overview with Applications to Banking

    Supervised Machine Learning Techniques: An Overview with Applications to Banking by Hu, Linwei, Chen, Jie, Vaughan, Joel, Hanyu Yang, Wang, Kelly, Sudjianto, Agus, Nair, Vijayan N

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Model Interpretation: A Unified Derivative-based Framework for Nonparametric Regression and Supervised Machine Learning

    Model Interpretation: A Unified Derivative-based Framework for Nonparametric Regression and Supervised Machine Learning by Liu, Xiaoyu, Chen, Jie, Vaughan, Joel, Nair, Vijayan, Sudjianto, Agus

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Explainable Neural Networks based on Additive Index Models

    Explainable Neural Networks based on Additive Index Models by Vaughan, Joel, Sudjianto, Agus, Brahimi, Erind, Chen, Jie, Nair, Vijayan N

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: