Improving medical term embeddings using UMLS Metathesaurus | 0 | 0.34 | 2022 |
3rd Workshop on Data Science with Human in the Loop, DaSH@KDD, Virtual Conference, August 15, 2021. | 0 | 0.34 | 2021 |
Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization. | 0 | 0.34 | 2021 |
Multi-Modal Trajectory Prediction Of Nba Players | 0 | 0.34 | 2021 |
Cannot Predict Comment Volume of a News Article before (a few) Users Read It | 0 | 0.34 | 2021 |
Data Science with Human in the Loop | 0 | 0.34 | 2021 |
1st Workshop on Data Science with Human in the Loop, DaSH@KDD 2020, San Diego, California, USA, August 24, 2020. | 0 | 0.34 | 2020 |
Improving Word Embeddings through Iterative Refinement of Word- and Character-level Models. | 0 | 0.34 | 2020 |
Growing Adaptive Multi-hyperplane Machines | 0 | 0.34 | 2020 |
Storage on the Edge: Evaluating Cloud Backed Edge Storage in Cyberphysical Systems | 1 | 0.36 | 2019 |
Medical Concept Representation Learning from Multi-source Data. | 0 | 0.34 | 2019 |
Improving Medical Code Prediction from Clinical Text via Incorporating Online Knowledge Sources | 1 | 0.41 | 2019 |
How to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction | 1 | 0.36 | 2019 |
A new clustering and nomenclature for beta turns derived from high-resolution protein structures. | 0 | 0.34 | 2019 |
EHR phenotyping via jointly embedding medical concepts and words into a unified vector space. | 2 | 0.36 | 2018 |
Enhancing Disaster Situational Awareness via Automated Summary Dissemination of Social Media Content. | 1 | 0.35 | 2018 |
Regular Expression Guided Entity Mention Mining from Noisy Web Data. | 0 | 0.34 | 2018 |
Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time. | 12 | 0.55 | 2018 |
Peer assessment of CS doctoral programs shows strong correlation with faculty citations. | 1 | 0.40 | 2018 |
Joint Learning Of Representations Of Medical Concepts And Words From Ehr Data | 0 | 0.34 | 2017 |
Faculty citation measures are highly correlated with peer assessment of computer science doctoral programs. | 0 | 0.34 | 2017 |
Semi-supervised combination of experts for aerosol optical depth estimation | 2 | 0.41 | 2016 |
Semi-supervised Discovery of Informative Tweets During the Emerging Disasters. | 1 | 0.35 | 2016 |
Joint Learning of Representation and Structure for Sparse Regression on Graphs. | 1 | 0.41 | 2016 |
Sampling Bias in LinkedIn: A Case Study. | 1 | 0.38 | 2016 |
Scaling up graph-based semisupervised learning via prototype vector machines. | 19 | 0.68 | 2015 |
Gaussian Conditional Random Fields for Aggregation of Operational Aerosol Retrievals | 6 | 0.58 | 2015 |
Frugal Traffic Monitoring with Autonomous Participatory Sensing. | 1 | 0.35 | 2014 |
Generating ad targeting rules using sparse principal component analysis with constraints | 6 | 0.66 | 2014 |
Neural Gaussian Conditional Random Fields. | 5 | 0.58 | 2014 |
Distributed confidence-weighted classification on MapReduce | 1 | 0.36 | 2013 |
BudgetedSVM: a toolbox for scalable SVM approximations | 29 | 1.06 | 2013 |
Cold Start Approach for Data-Driven Fault Detection. | 10 | 0.69 | 2013 |
Semi-supervised learning for integration of aerosol predictions from multiple satellite instruments | 4 | 0.50 | 2013 |
Continuous Conditional Random Fields for Efficient Regression in Large Fully Connected Graphs. | 13 | 0.97 | 2013 |
Efficient Visualization Of Large-Scale Data Tables Through Reordering And Entropy Minimization | 0 | 0.34 | 2013 |
Multi-prototype label ranking with novel pairwise-to-total-rank aggregation | 1 | 0.36 | 2013 |
Decentralized Estimation using distortion sensitive learning vector quantization | 2 | 0.37 | 2013 |
Supervised clustering of label ranking data using label preference information | 1 | 0.36 | 2013 |
Mixture Model for Multiple Instance Regression and Applications in Remote Sensing | 2 | 0.41 | 2012 |
Sparse Principal Component Analysis with Constraints. | 12 | 0.79 | 2012 |
A connectivity-based popularity prediction approach for social networks | 1 | 0.36 | 2012 |
Uncertainty Analysis of Neural-Network-Based Aerosol Retrieval. | 6 | 0.55 | 2012 |
Convex Kernelized Sorting. | 4 | 0.42 | 2012 |
Breaking the curse of kernelization: budgeted stochastic gradient descent for large-scale SVM training | 54 | 1.59 | 2012 |
Supervised Clustering of Label Ranking Data. | 1 | 0.35 | 2012 |
Active Learning Based on Parzen Window. | 0 | 0.34 | 2011 |
Tracking concept change with incremental boosting by minimization of the evolving exponential loss | 11 | 0.58 | 2011 |
Spatially regularized logistic regression for disease mapping on large moving populations | 0 | 0.34 | 2011 |
Improving accuracy of microarray classification by a simple multi-task feature selection filter. | 6 | 0.46 | 2011 |