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Publication search results
found 233 matches
- 2017
- Sibo Wang, Renchi Yang, Xiaokui Xiao, Zhewei Wei, Yin Yang:
FORA: Simple and Effective Approximate Single-Source Personalized PageRank. KDD 2017: 505-514 - Xiaoli Li, Jun Huan:
Constructivism Learning: A Learning Paradigm for Transparent Predictive Analytics. KDD 2017: 285-294 - Aman Agarwal, Soumya Basu, Tobias Schnabel, Thorsten Joachims:
Effective Evaluation Using Logged Bandit Feedback from Multiple Loggers. KDD 2017: 687-696 - Saurabh Agrawal, Gowtham Atluri, Anuj Karpatne, William Haltom, Stefan Liess, Snigdhansu Chatterjee, Vipin Kumar:
Tripoles: A New Class of Relationships in Time Series Data. KDD 2017: 697-706 - Amr Ahmed, James Long, Daniel Silva, Yuan Wang:
A Practical Algorithm for Solving the Incoherence Problem of Topic Models In Industrial Applications. KDD 2017: 1713-1721 - Adrian Albert, Jasleen Kaur, Marta C. González:
Using Convolutional Networks and Satellite Imagery to Identify Patterns in Urban Environments at a Large Scale. KDD 2017: 1357-1366 - Joseph St. Amand, Jun Huan:
Sparse Compositional Local Metric Learning. KDD 2017: 1097-1104 - Blake Anderson, David A. McGrew:
Machine Learning for Encrypted Malware Traffic Classification: Accounting for Noisy Labels and Non-Stationarity. KDD 2017: 1723-1732 - Elaine Angelino, Nicholas Larus-Stone, Daniel Alabi, Margo I. Seltzer, Cynthia Rudin:
Learning Certifiably Optimal Rule Lists. KDD 2017: 35-44 - Arda Antikacioglu, R. Ravi:
Post Processing Recommender Systems for Diversity. KDD 2017: 707-716 - Raquel Y. S. Aoki, Renato Martins Assunção, Pedro O. S. Vaz de Melo:
Luck is Hard to Beat: The Difficulty of Sports Prediction. KDD 2017: 1367-1376 - Chen Avin, Zvi Lotker, Yinon Nahum, David Peleg:
Improved Degree Bounds and Full Spectrum Power Laws in Preferential Attachment Networks. KDD 2017: 45-53 - Zilong Bai, Peter B. Walker, Anna E. Tschiffely, Fei Wang, Ian Davidson:
Unsupervised Network Discovery for Brain Imaging Data. KDD 2017: 55-64 - Jie Bao, Tianfu He, Sijie Ruan, Yanhua Li, Yu Zheng:
Planning Bike Lanes based on Sharing-Bikes' Trajectories. KDD 2017: 1377-1386 - Konstantin Bauman, Bing Liu, Alexander Tuzhilin:
Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews. KDD 2017: 717-725 - Denis Baylor, Eric Breck, Heng-Tze Cheng, Noah Fiedel, Chuan Yu Foo, Zakaria Haque, Salem Haykal, Mustafa Ispir, Vihan Jain, Levent Koc, Chiu Yuen Koo, Lukasz Lew, Clemens Mewald, Akshay Naresh Modi, Neoklis Polyzotis, Sukriti Ramesh, Sudip Roy, Steven Euijong Whang, Martin Wicke, Jarek Wilkiewicz, Xin Zhang, Martin Zinkevich:
TFX: A TensorFlow-Based Production-Scale Machine Learning Platform. KDD 2017: 1387-1395 - Inci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, Jiayu Zhou:
Patient Subtyping via Time-Aware LSTM Networks. KDD 2017: 65-74 - Andy Berglund:
Mining Big Data in NeuroGenetics to Understand Muscular Dystrophy. KDD 2017: 11 - Albert Bifet, Jiajin Zhang, Wei Fan, Cheng He, Jianfeng Zhang, Jianfeng Qian, Geoff Holmes, Bernhard Pfahringer:
Extremely Fast Decision Tree Mining for Evolving Data Streams. KDD 2017: 1733-1742 - Davis W. Blalock, John V. Guttag:
Bolt: Accelerated Data Mining with Fast Vector Compression. KDD 2017: 727-735 - Josh Bloom:
Industrial Machine Learning. KDD 2017: 13 - Aleksandar Bojchevski, Yves Matkovic, Stephan Günnemann:
Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings. KDD 2017: 737-746 - Fedor Borisyuk, Liang Zhang, Krishnaram Kenthapadi:
LiJAR: A System for Job Application Redistribution towards Efficient Career Marketplace. KDD 2017: 1397-1406 - Longbing Cao:
Behavior Informatics to Discover Behavior Insight for Active and Tailored Client Management. KDD 2017: 15-16 - Bokai Cao, Lei Zheng, Chenwei Zhang, Philip S. Yu, Andrea Piscitello, John Zulueta, Olu Ajilore, Kelly Ryan, Alex D. Leow:
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection. KDD 2017: 747-755 - Pedro Chahuara, Nicolas Grislain, Grégoire Jauvion, Jean-Michel Renders:
Real-Time Optimization of Web Publisher RTB Revenues. KDD 2017: 1743-1751 - Benjamin Paul Chamberlain, Ângelo Cardoso, C. H. Bryan Liu, Roberto Pagliari, Marc Peter Deisenroth:
Customer Lifetime Value Prediction Using Embeddings. KDD 2017: 1753-1762 - Xiaojun Chang, Yaoliang Yu, Yi Yang:
Robust Top-k Multiclass SVM for Visual Category Recognition. KDD 2017: 75-83 - Jinghui Chen, Quanquan Gu:
Fast Newton Hard Thresholding Pursuit for Sparsity Constrained Nonconvex Optimization. KDD 2017: 757-766 - Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong:
On Sampling Strategies for Neural Network-based Collaborative Filtering. KDD 2017: 767-776
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