Search Results - "Lan, Andrew"

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  1. 1

    Visible and invisible factors affecting the job satisfaction of agency home caregivers in the UK by Lan, Andrew, Liu, Xu, Zhao, Xiantong, Liang, Zhen

    “…This qualitative study investigates the factors that affect the job satisfaction of home caregivers. It draws upon a thematic analysis of data from in-depth…”
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    Journal Article
  2. 2

    On the Efficiency of Online Social Learning Networks by Brinton, Christopher G., Buccapatnam, Swapna, Zheng, Liang, Cao, Da, Lan, Andrew S., Wong, Felix M. F., Ha, Sangtae, Chiang, Mung, Poor, H. Vincent

    Published in IEEE/ACM transactions on networking (01-10-2018)
    “…A social learning network (SLN) emerges when users exchange information on educational topics with structured interactions. The recent proliferation of…”
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    Journal Article
  3. 3

    MetaSense: Boosting RF Sensing Accuracy Using Dynamic Metasurface Antenna by Lan, Guohao, Imani, Mohammadreza F., Liu, Zida, Manjarres, Jose, Hu, Wenjun, Lan, Andrew S., Smith, David R., Gorlatova, Maria

    Published in IEEE internet of things journal (15-09-2021)
    “…Conventional radio-frequency (RF) sensing systems rely on either frequency diversity or spatial diversity to ensure high sensing accuracy. Such reliance…”
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    Journal Article
  4. 4

    Predicting the Timing and Quality of Responses in Online Discussion Forums by Hansen, Patrick, Junior Bustamante, Richard, Yang, Tsung-Yen, Tenorio, Elizabeth, Brinton, Christopher, Chiang, Mung, Lan, Andrew

    “…We consider the problem of jointly predicting the quality and timing of responses to questions asked in online discussion forums. While prior work has focused…”
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    Conference Proceeding
  5. 5

    Contextual multi-armed bandit algorithms for personalized learning action selection by Manickam, Indu, Lan, Andrew S., Baraniuk, Richard G.

    “…Optimizing the selection of learning resources and practice questions to address each individual student's needs has the potential to improve students'…”
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    Conference Proceeding
  6. 6

    Scientific Formula Retrieval via Tree Embeddings by Wang, Zichao, Zhang, Mengxue, Baraniuk, Richard G., Lan, Andrew S.

    “…Exploiting the ever-growing corpus of scientific content calls for new ways and means to effectively organize, search, and retrieve scientific formulae. We…”
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    Conference Proceeding
  7. 7

    Grade Prediction with Neural Collaborative Filtering by Ren, Zhiyun, Ning, Xia, Lan, Andrew S., Rangwala, Huzefa

    “…Over the past decade low graduation and retention rates has plagued higher education institutions. To assist students in choosing a sequence of courses,…”
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    Conference Proceeding
  8. 8

    Do We Really Need Gold Samples for Sample Weighting under Label Noise? by Ghosh, Aritra, Lan, Andrew

    “…Learning with labels noise has gained significant traction recently due to the sensitivity of deep neural networks under label noise under common loss…”
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    Conference Proceeding
  9. 9

    Highlights as an Early Predictor of Student Comprehension and Interests by Winchell, Adam, Lan, Andrew, Mozer, Michael

    Published in Cognitive science (01-11-2020)
    “…When engaging with a textbook, students are inclined to highlight key content. Although students believe that highlighting and subsequent review of the…”
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    Journal Article
  10. 10

    Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach by Chu, Yun-Wei, Tenorio, Elizabeth, Cruz, Laura, Douglas, Kerrie, Lan, Andrew S., Brinton, Christopher G.

    “…We study the problem of predicting student knowledge acquisition in online courses from clickstream behavior. Motivated by the proliferation of eLearning…”
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    Conference Proceeding
  11. 11

    MSE-Optimal Neural Network Initialization via Layer Fusion by Ghods, Ramina, Lan, Andrew S., Goldstein, Tom, Studer, Christoph

    “…Deep neural networks achieve state-of-the-art performance for a range of classification and inference tasks. However, the use of stochastic gradient descent…”
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    Conference Proceeding
  12. 12

    IdeoTrace: A Framework for Ideology Tracing with a Case Study on the 2016 U.S. Presidential Election by Manickam, Indu, Lan, Andrew S., Dasarathy, Gautam, Baraniuk, Richard G.

    “…The 2016 United States presidential election has been characterized as a period of extreme divisiveness that was exacerbated on social media by the influence…”
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    Conference Proceeding
  13. 13

    The Impact of Dosing Frequency on the Efficacy of 10-Day Penicillin or Amoxicillin Therapy for Streptococcal Tonsillopharyngitis: A Meta-analysis by Lan, Andrew J, Colford, John M, MD, Jr

    Published in Pediatrics (Evanston) (01-02-2000)
    “…The recommended dosing frequency of oral penicillin for the treatment of acute streptococcal tonsillopharyngitis has long been 3 to 4 times daily. In 1994,…”
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    Journal Article
  14. 14

    Meta-knowledge dictionary learning on 1-bit response data for student knowledge diagnosis by Zhang, Yupei, Dai, Huan, Yun, Yue, Liu, Shuhui, Lan, Andrew, Shang, Xuequn

    Published in Knowledge-based systems (12-10-2020)
    “…This paper focuses on the problem of student knowledge diagnosis that is a basic task of realizing personalized education. Most traditional methods rely on the…”
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    Journal Article
  15. 15

    Insense: Incoherent sensor selection for sparse signals by Aghazadeh, Amirali, Golbabaee, Mohammad, Lan, Andrew, Baraniuk, Richard

    Published in Signal processing (01-09-2018)
    “…•A new sensor selection algorithm for sparse signal recovery.•We select sensors forming linear systems with small column coherence.•Our new projection-based…”
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    Journal Article
  16. 16

    Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics by Chu, Yun-Wei, Hosseinalipour, Seyyedali, Tenorio, Elizabeth, Cruz, Laura, Douglas, Kerrie, Lan, Andrew S., Brinton, Christopher G.

    “…Conventional methods for student modeling, which involve predicting grades based on measured activities, struggle to provide accurate results for…”
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    Journal Article
  17. 17

    Contrastive Learning Improves Model Robustness Under Label Noise by Ghosh, Aritra, Lan, Andrew

    “…Deep neural network-based classifiers trained with the categorical cross-entropy (CCE) loss are sensitive to label noise in the training data. One common type…”
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    Conference Proceeding
  18. 18

    BLAh: Boolean Logic Analysis for Graded Student Response Data by Lan, Andrew S., Waters, Andrew E., Studer, Christoph, Baraniuk, Richard G.

    “…Machine learning (ML) models and algorithms can enable a personalized learning experience for students in an inexpensive and scalable manner. At the heart of…”
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    Journal Article
  19. 19

    Hurts to Be Too Early: Benefits and Drawbacks of Communication in Multi-Agent Learning by Naghizadeh, Parinaz, Gorlatova, Maria, Lan, Andrew S., Chiang, Mung

    “…We study a multi-agent partially observable environment in which autonomous agents aim to coordinate their actions, while also learning the parameters of the…”
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    Conference Proceeding
  20. 20

    Learning Cloud Dynamics to Optimize Spot Instance Bidding Strategies by Khodak, Mikhail, Zheng, Liang, Lan, Andrew S., Joe-Wong, Carlee, Chiang, Mung

    “…As infrastructure-as-a-service clouds become more popular, cloud providers face the complicated problem of maximizing their resource utilization by handling…”
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    Conference Proceeding