Augmenting Software Project Managers with Predictions from Machine Learning
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Kalyan Veeramachaneni | Rajendra Prasad | Benjamin Schreck | Shankar Mallapur | Sarvesh Damle | Nitin John James | Sanjeev Vohra
[1] Min Liu,et al. Using neural network to predict performance of design-build projects in Singapore , 2004 .
[2] Kalyan Veeramachaneni,et al. Label, Segment, Featurize: A Cross Domain Framework for Prediction Engineering , 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).
[3] Sriram Subramanian,et al. Model Governance: Reducing the Anarchy of Production ML , 2018, USENIX Annual Technical Conference.
[4] Éric Gaussier,et al. A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation , 2005, ECIR.
[5] Eric Horvitz,et al. On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems , 2016, AAAI.
[6] D. Sculley,et al. Hidden Technical Debt in Machine Learning Systems , 2015, NIPS.
[7] Kalyan Veeramachaneni,et al. Deep feature synthesis: Towards automating data science endeavors , 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).
[8] Yong Hu,et al. Software Project Risk Management Modeling with Neural Network and Support Vector Machine Approaches , 2007, Third International Conference on Natural Computation (ICNC 2007).