conftrace_
← Data Science & Analytics
Data Science & Analytics ›

Applications

2,978 papers (27 classified directly here)

Subtopics

Recommender Systems (1,030) Clustering (756) Information Retrieval (481) Mobility Analysis (237) Social Media Analysis (224) Risk Management (181) Disease Surveillance (161) Anomaly Detection (7)

Papers per year

2
25
47
308
426
'05
'10
'15
'20
'25

Papers (including subtopics)

GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Exploration Techniques EMNLP 2017
Consistent k-Clustering ICML 2017
Restart and Random Walk in Local Search for Maximum Vertex Weight Cliques with Evaluations in Clustering Aggregation IJCAI 2017
Spectral Clustering Based on Local PCA JMLR 2017
Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation NIPS 2017
Re-Ranking Person Re-Identification With k-Reciprocal Encoding CVPR 2017
Graphons, mergeons, and so on! NIPS 2016
Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design ICML 2016
Robust Spectral Detection of Global Structures in the Data by Learning a Regularization NIPS 2016
Estimating the Size of a Large Network and its Communities from a Random Sample NIPS 2016
Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent NIPS 2016
Comparative Deep Learning of Hybrid Representations for Image Recommendations CVPR 2016
Stratified Sampling Meets Machine Learning ICML 2016
Dictionary Learning for Massive Matrix Factorization ICML 2016
Speech Likability and Personality-Based Social Relations: A Round-Robin Analysis over Communication Channels INTERSPEECH 2016
Compressive Spectral Clustering ICML 2016
Exploring Differential Topic Models for Comparative Summarization of Scientific Papers COLING 2016
Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention COLING 2016
A Novel Fast Framework for Topic Labeling Based on Similarity-preserved Hashing COLING 2016
Large-scale Multi-class and Hierarchical Product Categorization for an E-commerce Giant COLING 2016
Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees ACML 2016
Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization COLING 2016
New Resistance Distances with Global Information on Large Graphs AISTATS 2016
Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model ICML 2016
Improved Error Bounds for Tree Representations of Metric Spaces NIPS 2016