FeatureHub: Towards Collaborative Data Science
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[1] Kalyan Veeramachaneni,et al. Deep feature synthesis: Towards automating data science endeavors , 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).
[2] Michael S. Bernstein,et al. Soylent: a word processor with a crowd inside , 2010, UIST.
[3] Pedro M. Domingos. A few useful things to know about machine learning , 2012, Commun. ACM.
[4] Marilyn Tremaine. CHI '01 Extended Abstracts on Human Factors in Computing Systems , 2001, CHI Extended Abstracts.
[5] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[6] Lilly Irani,et al. Amazon Mechanical Turk , 2018, Advances in Intelligent Systems and Computing.
[7] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[8] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[9] Michael S. Bernstein,et al. Flock: Hybrid Crowd-Machine Learning Classifiers , 2015, CSCW.
[10] Aaron Klein,et al. Efficient and Robust Automated Machine Learning , 2015, NIPS.
[11] Kevin Leyton-Brown,et al. Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms , 2012, KDD.
[12] Jennifer Widom,et al. Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms , 2015, HCOMP.
[13] AnHai Doan,et al. Chimera: Large-Scale Classification using Machine Learning, Rules, and Crowdsourcing , 2014, Proc. VLDB Endow..
[14] Ned Gulley. Patterns of innovation: a web-based MATLAB programming contest , 2001, CHI Extended Abstracts.
[15] Randal S. Olson,et al. Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science , 2016, GECCO.
[16] Peter A. Flach,et al. Propositionalization approaches to relational data mining , 2001 .
[17] Kalyan Veeramachaneni,et al. Likely to stop? Predicting Stopout in Massive Open Online Courses , 2014, ArXiv.
[18] Arno J. Knobbe,et al. Propositionalisation and Aggregates , 2001, PKDD.