| 1 |
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Cascade Ranking for Operational E-commerce Search |
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0 |
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Fei Xiao, Luo Si, Shichen Liu, Wenwu Ou |
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| 2 |
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FORA: Simple and Effective Approximate Single-Source Personalized PageRank |
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0 |
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Renchi Yang, Sibo Wang, Xiaokui Xiao, Yin Yang, Zhewei Wei |
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| 3 |
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Collaborative Variational Autoencoder for Recommender Systems |
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0 |
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James She, Xiaopeng Li |
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| 4 |
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Large-scale Collaborative Ranking in Near-Linear Time |
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0 |
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ChoJui Hsieh, James Sharpnack, Liwei Wu |
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| 5 |
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Embedding-based News Recommendation for Millions of Users |
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0 |
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Akira Tajima, Shingo Ono, Shumpei Okura, Yukihiro Tagami |
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| 6 |
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AnnexML: Approximate Nearest Neighbor Search for Extreme Multi-label Classification |
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0 |
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Yukihiro Tagami |
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| 7 |
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Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts |
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0 |
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Aidong Zhang, Guangxu Xun, Jing Gao, Yaliang Li |
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| 8 |
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Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings |
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0 |
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Aleksandar Bojchevski, Stephan Günnemann, Yves Matkovic |
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| 9 |
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Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation |
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0 |
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Carl Yang, Chao Zhang, Jiawei Han, Lanxiao Bai, Quan Yuan |
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| 10 |
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Optimized Cost per Click in Taobao Display Advertising |
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0 |
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Chang Tan, Fei Pan, Han Li, Han Zhu, Junqi Jin, Kun Gai, Yifan Zeng |
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| 11 |
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TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams |
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0 |
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Chao Zhang, Dongming Lei, Honglei Zhuang, Jiawei Han, Liyuan Liu, Quan Yuan, Tim Hanratty |
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| 12 |
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Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews |
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0 |
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Alexander Tuzhilin, Bing Liu, Konstantin Bauman |
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| 13 |
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Online Ranking with Constraints: A Primal-Dual Algorithm and Applications to Web Traffic-Shaping |
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0 |
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Akshay Soni, Parikshit Shah, Troy Chevalier |
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| 14 |
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EmbedJoin: Efficient Edit Similarity Joins via Embeddings |
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0 |
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Haoyu Zhang, Qin Zhang |
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| 15 |
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On Sampling Strategies for Neural Network-based Collaborative Filtering |
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0 |
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Liangjie Hong, Ting Chen, Yizhou Sun, Yue Shi |
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| 16 |
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Anarchists, Unite: Practical Entropy Approximation for Distributed Streams |
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0 |
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Assaf Schuster, Daniel Keren, Moshe Gabel |
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| 17 |
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A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users |
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0 |
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Changying Du, Hao Wang, Hongzhi Yin, Hui Xiong, Qinyong Wang, Yanmei Fu |
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| 18 |
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A Practical Exploration System for Search Advertising |
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0 |
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Adwait Ratnaparkhi, Ben Shahshahani, Ming Yang, Parikshit Shah, Rohit Chandra, Sachidanand Alle |
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| 19 |
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Matching Restaurant Menus to Crowdsourced Food Data: A Scalable Machine Learning Approach |
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0 |
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Chul Lee, Hesam Salehian, Patrick D. Howell |
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| 20 |
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Local Algorithm for User Action Prediction Towards Display Ads |
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0 |
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Hongxia Yang, Jingrui He, Yada Zhu |
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| 21 |
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Resolving the Bias in Electronic Medical Records |
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0 |
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Beng Chin Ooi, James Wei Luen Yip, Jinyang Gao, Kaiping Zheng, Kee Yuan Ngiam |
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| 22 |
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Improved Degree Bounds and Full Spectrum Power Laws in Preferential Attachment Networks |
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0 |
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Chen Avin, David Peleg, Yinon Nahum, Zvi Lotker |
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| 23 |
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Unsupervised P2P Rental Recommendations via Integer Programming |
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0 |
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Charu C. Aggarwal, Guannan Liu, Mingfei Teng, Yanjie Fu |
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| 24 |
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Efficient Correlated Topic Modeling with Topic Embedding |
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0 |
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Eric P. Xing, Junxian He, Taylor BergKirkpatrick, Ying Huang, Zhiting Hu |
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| 25 |
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Discovering Reliable Approximate Functional Dependencies |
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0 |
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Jilles Vreeken, Mario Boley, Panagiotis Mandros |
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| 26 |
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PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks |
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0 |
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Honglei Zhuang, Huan Gui, Jiawei Han, PoWei Chan, Yu Shi |
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| 27 |
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HoORaYs: High-order Optimization of Rating Distance for Recommender Systems |
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0 |
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Hanghang Tong, Jian Lu, Jingwei Xu, Xianping Tao, Yuan Yao |
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| 28 |
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Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks |
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0 |
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Dik Lun Lee, Huan Zhao, Jianda Li, Quanming Yao, Yangqiu Song |
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| 29 |
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Post Processing Recommender Systems for Diversity |
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0 |
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Arda Antikacioglu, R. Ravi |
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| 30 |
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Revisiting Power-law Distributions in Spectra of Real World Networks |
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0 |
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David F. Gleich, Nicole Eikmeier |
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| 31 |
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Recurrent Poisson Factorization for Temporal Recommendation |
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0 |
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Ali Arabzadeh, Ali Khodadadi, Hamid R. Rabiee, Hongyuan Zha, Keivan Alizadeh, Mehrdad Farajtabar, Seyyed Abbas Hosseini |
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| 32 |
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Distributed Multi-Task Relationship Learning |
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0 |
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Qirong Ho, Sinno Jialin Pan, Sulin Liu |
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| 33 |
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Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates |
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0 |
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Inci M. Baytas, Jiayu Zhou, Kaixiang Lin, Liyang Xie |
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| 34 |
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Multi-task Function-on-function Regression with Co-grouping Structured Sparsity |
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0 |
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Jingrui He, Pei Yang, Qi Tan |
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| 35 |
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Prognosis and Diagnosis of Parkinson's Disease Using Multi-Task Learning |
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0 |
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Anya McGuirk, Saba Emrani, Wei Xiao |
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| 36 |
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FIRST: Fast Interactive Attributed Subgraph Matching |
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0 |
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Boxin Du, Hanghang Tong, Nan Cao, Si Zhang |
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| 37 |
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Predicting Clinical Outcomes Across Changing Electronic Health Record Systems |
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0 |
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Jen J. Gong, John V. Guttag, Peter Szolovits, Tristan Naumann |
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| 38 |
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Deep Embedding Forest: Forest-based Serving with Deep Embedding Features |
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0 |
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Dong Yu, Holakou Rahmanian, J. C. Mao, Jie Zhu, Yi Zhang, Ying Shan |
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| 39 |
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Customer Lifetime Value Prediction Using Embeddings |
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0 |
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Benjamin Paul Chamberlain, C. H. Bryan Liu, Marc Peter Deisenroth, Roberto Pagliari, Ângelo Cardoso |
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| 40 |
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Discovering Enterprise Concepts Using Spreadsheet Tables |
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0 |
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Keqian Li, Kris Ganjam, Yeye He |
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| 41 |
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Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration |
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0 |
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Guanyu Tao, Jun Wang, Kan Ren, Lantao Yu, Weinan Zhang, Xuejian Wang, Yong Yu |
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| 42 |
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Visual Search at eBay |
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0 |
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Ajinkya Kale, Fan Yang, Leon Stein, M. Hadi Kiapour, Qiaosong Wang, Robinson Piramuthu, Yury Bubnov |
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| 43 |
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A Data-driven Process Recommender Framework |
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0 |
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Hui Xiong, Ivan Marsic, Leilei Sun, Randall S. Burd, Richard A. Farneth, Sen Yang, Xin Dong, Yichen Zhou |
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| 44 |
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Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling |
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0 |
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Chuanren Liu, Eric P. Xing, Hui Xiong, Jie Zhang, Jieping Ye, Kai Zhang |
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| 45 |
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Effective Evaluation Using Logged Bandit Feedback from Multiple Loggers |
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0 |
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Aman Agarwal, Soumya Basu, Thorsten Joachims, Tobias Schnabel |
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| 46 |
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TFX: A TensorFlow-Based Production-Scale Machine Learning Platform |
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0 |
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Akshay Naresh Modi, Chiu Yuen Koo, Chuan Yu Foo, Clemens Mewald, Denis Baylor, Eric Breck, HengTze Cheng, Jarek Wilkiewicz, Levent Koc, Lukasz Lew, Martin Wicke, Martin Zinkevich, Mustafa Ispir, Neoklis Polyzotis, Noah Fiedel, Salem Haykal, Steven Euijong Whang, Sudip Roy, Sukriti Ramesh, Vihan Jain, Xin Zhang, Zakaria Haque |
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| 47 |
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The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms |
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0 |
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Jie Wang, Jieping Ye, Lei Chen, Qiang Yang, Weifeng Lv, Yongxin Tong, Yuqiang Chen, Zimu Zhou |
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| 48 |
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TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks |
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0 |
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Cassandra Xia, Clemens Mewald, D. Sculley, David Soergel, Georgios Roumpos, HengTze Cheng, Illia Polosukhin, Jamie Smith, Jianwei Xie, Lichan Hong, Martin Wicke, Mustafa Ispir, Philipp Tucker, Yuan Tang, Zakaria Haque |
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| 49 |
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Industrial Machine Learning |
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0 |
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Josh Bloom |
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| 50 |
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Behavior Informatics to Discover Behavior Insight for Active and Tailored Client Management |
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0 |
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Longbing Cao |
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| 51 |
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Machine Learning Software in Practice: Quo Vadis? |
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0 |
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Szilárd Pafka |
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| 52 |
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Big Data in Climate: Opportunities and Challenges for Machine Learning |
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0 |
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Anuj Karpatne, Vipin Kumar |
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| 53 |
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Spaceborne Data Enters the Mainstream |
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0 |
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David Potere |
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| 54 |
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A Minimal Variance Estimator for the Cardinality of Big Data Set Intersection |
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0 |
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Aviv Yehezkel, Liran Katzir, Reuven Cohen |
|
| 55 |
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Matrix Profile V: A Generic Technique to Incorporate Domain Knowledge into Motif Discovery |
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0 |
|
Eamonn J. Keogh, Hoang Anh Dau |
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| 56 |
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Clustering Individual Transactional Data for Masses of Users |
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0 |
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Anna Monreale, Dino Pedreschi, Fosca Giannotti, Mirco Nanni, Riccardo Guidotti |
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| 57 |
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Communication-Efficient Distributed Block Minimization for Nonlinear Kernel Machines |
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0 |
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ChoJui Hsieh, Inderjit S. Dhillon, Si Si |
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| 58 |
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Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing |
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0 |
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Bo Li, Kun Kuang, Meng Jiang, Peng Cui, Shiqiang Yang |
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| 59 |
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Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams |
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0 |
|
Hui Xiong, Jingci Ming, Junming Liu, Leilei Sun, Yanjie Fu, Yong Ren |
|
| 60 |
|
Similarity Forests |
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0 |
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Charu C. Aggarwal, Saket Sathe |
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| 61 |
|
On Finding Socially Tenuous Groups for Online Social Networks |
|
0 |
|
ChihYa Shen, DeNian Yang, HongHan Shuai, LiangHao Huang, MingSyan Chen, WangChien Lee |
|
| 62 |
|
Multi-Aspect Streaming Tensor Completion |
|
0 |
|
Hancheng Ge, James Caverlee, Qingquan Song, Xia Hu, Xiao Huang |
|
| 63 |
|
REMIX: Automated Exploration for Interactive Outlier Detection |
|
0 |
|
Charu C. Aggarwal, Deepak S. Turaga, Hui Xiong, Srinivasan Parthasarathy, Yanjie Fu |
|
| 64 |
|
SPOT: Sparse Optimal Transformations for High Dimensional Variable Selection and Exploratory Regression Analysis |
|
0 |
|
Michael Zhu, Qiming Huang |
|
| 65 |
|
Point-of-Interest Demand Modeling with Human Mobility Patterns |
|
0 |
|
Chuanren Liu, Hengshu Zhu, Hui Xiong, Mingfei Teng, Xinjiang Lu, Yanchi Liu |
|
| 66 |
|
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams |
|
0 |
|
Bryan Hooi, Christos Faloutsos, Jisu Kim, Kijung Shin |
|
| 67 |
|
Anomaly Detection in Streams with Extreme Value Theory |
|
0 |
|
Alban Siffer, Alexandre Termier, Christine Largouët, PierreAlain Fouque |
|
| 68 |
|
Retrospective Higher-Order Markov Processes for User Trails |
|
0 |
|
David F. Gleich, Tao Wu |
|
| 69 |
|
Scalable Top-n Local Outlier Detection |
|
0 |
|
Elke A. Rundensteiner, Lei Cao, Yizhou Yan |
|
| 70 |
|
A Temporally Heterogeneous Survival Framework with Application to Social Behavior Dynamics |
|
0 |
|
Chaoming Song, Linyun Yu, Peng Cui, Shiqiang Yang, Tianyang Zhang |
|
| 71 |
|
LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity |
|
0 |
|
Jie Tang, Jimeng Sun, Robert Chen, Walter F. Stewart, Yutao Zhang |
|
| 72 |
|
Estimation of Recent Ancestral Origins of Individuals on a Large Scale |
|
0 |
|
Ahna Reza Girshick, Ross E. Curtis |
|
| 73 |
|
A Dirty Dozen: Twelve Common Metric Interpretation Pitfalls in Online Controlled Experiments |
|
0 |
|
Dong Woo Kim, Garnet Jason Vaz, Pavel A. Dmitriev, Somit Gupta |
|
| 74 |
|
Peeking at A/B Tests: Why it matters, and what to do about it |
|
0 |
|
David Walsh, Leonid Pekelis, Pete Koomen, Ramesh Johari |
|
| 75 |
|
Pharmacovigilance via Baseline Regularization with Large-Scale Longitudinal Observational Data |
|
0 |
|
David Page, Peggy L. Peissig, Richard Maclin, Vítor Santos Costa, Zhaobin Kuang |
|
| 76 |
|
Compass: Spatio Temporal Sentiment Analysis of US Election What Twitter Says! |
|
0 |
|
Debjyoti Paul, Feifei Li, Murali Krishna Teja, Richie Frost, Xin Yu |
|
| 77 |
|
A Quasi-experimental Estimate of the Impact of P2P Transportation Platforms on Urban Consumer Patterns |
|
0 |
|
Beibei Li, Zhe Zhang |
|
| 78 |
|
Machine Learning for Encrypted Malware Traffic Classification: Accounting for Noisy Labels and Non-Stationarity |
|
0 |
|
Blake Anderson, David A. McGrew |
|
| 79 |
|
Extremely Fast Decision Tree Mining for Evolving Data Streams |
|
0 |
|
Albert Bifet, Bernhard Pfahringer, Cheng He, Geoff Holmes, Jiajin Zhang, Jianfeng Qian, Jianfeng Zhang, Wei Fan |
|
| 80 |
|
Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices |
|
0 |
|
Benjamin M. Marlin, Hamid Dadkhahi |
|
| 81 |
|
An Efficient Bandit Algorithm for Realtime Multivariate Optimization |
|
0 |
|
Anand Iyer, Daniel N. Hill, Houssam Nassif, S. V. N. Vishwanathan, Yi Liu |
|
| 82 |
|
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks |
|
0 |
|
Fenglong Ma, Jing Gao, Jing Zhou, Quanzeng You, Radha Chitta, Tong Sun |
|
| 83 |
|
An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis |
|
0 |
|
Caifeng He, Cheng He, Hong Cheng, Jianfeng Zhang, Keli Zhang, Lujia Pan, Patrick P. C. Lee |
|
| 84 |
|
Deep Design: Product Aesthetics for Heterogeneous Markets |
|
0 |
|
Alexander Burnap, Jeffrey Hartley, Panos Y. Papalambros, Richard Gonzalez, Yanxin Pan |
|
| 85 |
|
Collecting and Analyzing Millions of mHealth Data Streams |
|
0 |
|
Alessio Signorini, David C. Kale, Luca Foschini, Tom Quisel |
|
| 86 |
|
The Fake vs Real Goods Problem: Microscopy and Machine Learning to the Rescue |
|
0 |
|
Ashlesh Sharma, Lakshminarayanan Subramanian, Vidyuth Srinivasan, Vishal Kanchan |
|
| 87 |
|
Dispatch with Confidence: Integration of Machine Learning, Optimization and Simulation for Open Pit Mines |
|
0 |
|
Chetan Gupta, HsiuKhuern Tang, Kosta Ristovski, Kunihiko Harada |
|
| 88 |
|
Formative Essay Feedback Using Predictive Scoring Models |
|
0 |
|
Bronwyn Woods, David Adamson, Elijah Mayfield, Shayne Miel |
|
| 89 |
|
Learning Temporal State of Diabetes Patients via Combining Behavioral and Demographic Data |
|
0 |
|
Deepak S. Turaga, Houping Xiao, Jing Gao, Long H. Vu |
|
| 90 |
|
Foreword to the Applied Data Science: Invited Talks Track at KDD-2017 |
|
0 |
|
Ashok Srivastava, Evangelos Simoudis, Usama M. Fayyad |
|
| 91 |
|
Three Principles of Data Science: Predictability, Stability and Computability |
|
0 |
|
Bin Yu |
|
| 92 |
|
The Future of Data Integration |
|
0 |
|
Renée J. Miller |
|
| 93 |
|
More than the Sum of its Parts: Building Domino Data Lab |
|
0 |
|
Eduardo Ariño de la Rubia |
|
| 94 |
|
What's Fair? |
|
0 |
|
Cynthia Dwork |
|
| 95 |
|
Mining Big Data in NeuroGenetics to Understand Muscular Dystrophy |
|
0 |
|
Andy Berglund |
|
| 96 |
|
Planning and Learning under Uncertainty: Theory and Practice |
|
0 |
|
Jonathan P. How |
|
| 97 |
|
It Takes More than Math and Engineering to Hit the Bullseye with Data |
|
0 |
|
Paritosh Desai |
|
| 98 |
|
Addressing Challenges with Big Data for Media Measurement |
|
0 |
|
Mainak Mazumdar |
|
| 99 |
|
Designing AI at Scale to Power Everyday Life |
|
0 |
|
Rajesh Parekh |
|
| 100 |
|
The Future of Artificially Intelligent Assistants |
|
0 |
|
Alborz Geramifard, Andrew Tomkins, Deepak Agarwal, Larry P. Heck, Muthu Muthukrishnan |
|
| 101 |
|
Learning Certifiably Optimal Rule Lists |
|
0 |
|
Cynthia Rudin, Daniel Alabi, Elaine Angelino, Margo I. Seltzer, Nicholas LarusStone |
|
| 102 |
|
Benchmarks and Process Management in Data Science: Will We Ever Get Over the Mess? |
|
0 |
|
Anthony Chong, Arno Candel, Eduardo Ariño de la Rubia, JeongYoon Lee, Szilárd Pafka, Usama M. Fayyad |
|
| 103 |
|
Unsupervised Network Discovery for Brain Imaging Data |
|
0 |
|
Anna E. Tschiffely, Fei Wang, Ian Davidson, Peter B. Walker, Zilong Bai |
|
| 104 |
|
Robust Top-k Multiclass SVM for Visual Category Recognition |
|
0 |
|
Xiaojun Chang, Yaoliang Yu, Yi Yang |
|
| 105 |
|
KATE: K-Competitive Autoencoder for Text |
|
0 |
|
Mohammed J. Zaki, Yu Chen |
|
| 106 |
|
HyperLogLog Hyperextended: Sketches for Concave Sublinear Frequency Statistics |
|
0 |
|
Edith Cohen |
|
| 107 |
|
Patient Subtyping via Time-Aware LSTM Networks |
|
0 |
|
Anil K. Jain, Cao Xiao, Fei Wang, Inci M. Baytas, Jiayu Zhou, Xi Zhang |
|
| 108 |
|
Fast Enumeration of Large k-Plexes |
|
0 |
|
Alessio Conte, Caterina Mordente, Donatella Firmani, Maurizio Patrignani, Riccardo Torlone |
|
| 109 |
|
metapath2vec: Scalable Representation Learning for Heterogeneous Networks |
|
0 |
|
Ananthram Swami, Nitesh V. Chawla, Yuxiao Dong |
|
| 110 |
|
Ego-Splitting Framework: from Non-Overlapping to Overlapping Clusters |
|
0 |
|
Alessandro Epasto, Renato Paes Leme, Silvio Lattanzi |
|
| 111 |
|
Contextual Motifs: Increasing the Utility of Motifs using Contextual Data |
|
0 |
|
Ian Fox, Jenna Wiens, Lynn Ang, Mamta Jaiswal, Rodica PopBusui |
|
| 112 |
|
The Co-Evolution Model for Social Network Evolving and Opinion Migration |
|
0 |
|
Jianxi Gao, Yizhou Sun, Yupeng Gu |
|
| 113 |
|
Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping |
|
0 |
|
Bin Gu, Guodong Liu, Heng Huang |
|
| 114 |
|
Network Inference via the Time-Varying Graphical Lasso |
|
0 |
|
David Hallac, Jure Leskovec, Stephen P. Boyd, Youngsuk Park |
|
| 115 |
|
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data |
|
0 |
|
David Hallac, Jure Leskovec, Sagar Vare, Stephen P. Boyd |
|
| 116 |
|
Accelerating Innovation Through Analogy Mining |
|
0 |
|
Aniket Kittur, Dafna Shahaf, Joel Chan, Tom Hope |
|
| 117 |
|
A Hierarchical Algorithm for Extreme Clustering |
|
0 |
|
Akshay Krishnamurthy, Andrew McCallum, Ari Kobren, Nicholas Monath |
|
| 118 |
|
Is the Whole Greater Than the Sum of Its Parts? |
|
0 |
|
Conglei Shi, Hanghang Tong, Liangyue Li, Nan Cao, Norbou Buchler, Yong Wang |
|
| 119 |
|
Constructivism Learning: A Learning Paradigm for Transparent Predictive Analytics |
|
0 |
|
Jun Huan, Xiaoli Li |
|
| 120 |
|
The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables |
|
0 |
|
Himabindu Lakkaraju, Jens Ludwig, Jon M. Kleinberg, Jure Leskovec, Sendhil Mullainathan |
|
| 121 |
|
Linearized GMM Kernels and Normalized Random Fourier Features |
|
0 |
|
Ping Li |
|
| 122 |
|
Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning |
|
0 |
|
Dongyun Yi, Guangtao Wang, Jie Wang, Jieping Ye, Shang Qiu, Tingjin Luo, Weizhong Zhang, Yang Yang |
|
| 123 |
|
Discrete Content-aware Matrix Factorization |
|
0 |
|
Defu Lian, Kai Zheng, Longbing Cao, Rui Liu, Xing Xie, Yong Ge |
|
| 124 |
|
SPARTan: Scalable PARAFAC2 for Large & Sparse Data |
|
0 |
|
Elizabeth Searles, Evangelos E. Papalexakis, Fei Wang, Ioakeim Perros, Jimeng Sun, Michael Thompson, Richard W. Vuduc |
|
| 125 |
|
Towards an Optimal Subspace for K-Means |
|
0 |
|
Christian Böhm, Claudia Plant, Dominik Mautz, Wei Ye |
|
| 126 |
|
struc2vec: Learning Node Representations from Structural Identity |
|
0 |
|
Daniel R. Figueiredo, Leonardo Filipe Rodrigues Ribeiro, Pedro H. P. Saverese |
|
| 127 |
|
Scalable and Sustainable Deep Learning via Randomized Hashing |
|
0 |
|
Anshumali Shrivastava, Ryan Spring |
|
| 128 |
|
Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking |
|
0 |
|
Andrew Haines, Fabrizio Silvestri, Gabriele Tolomei, Mounia Lalmas |
|
| 129 |
|
Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes |
|
0 |
|
Charu C. Aggarwal, Guannan Liu, Pengfei Wang, Wenqing Hu, Yanjie Fu |
|
| 130 |
|
Randomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods |
|
0 |
|
Charu C. Aggarwal, Huan Liu, Suhang Wang |
|
| 131 |
|
Structural Deep Brain Network Mining |
|
0 |
|
Ann B. Ragin, Bokai Cao, ChunTa Lu, Lifang He, Philip S. Yu, Shen Wang |
|
| 132 |
|
Local Higher-Order Graph Clustering |
|
0 |
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Austin R. Benson, David F. Gleich, Hao Yin, Jure Leskovec |
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| 133 |
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PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification |
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0 |
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Eric P. Xing, Ian EnHsu Yen, Inderjit S. Dhillon, Pradeep Ravikumar, Wei Dai, Xiangru Huang |
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| 134 |
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Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity |
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0 |
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Chengxi Zang, Christos Faloutsos, Peng Cui, Wenwu Zhu |
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| 135 |
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Weisfeiler-Lehman Neural Machine for Link Prediction |
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0 |
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Muhan Zhang, Yixin Chen |
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| 136 |
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Graph Edge Partitioning via Neighborhood Heuristic |
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0 |
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Chenzi Zhang, Fan Wei, Qin Liu, Zhenguo Li, Zhihao Gavin Tang |
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| 137 |
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Tracking the Dynamics in Crowdfunding |
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0 |
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Enhong Chen, Hefu Zhang, Hongke Zhao, Huayu Li, Le Wu, Qi Liu, Yong Ge |
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| 138 |
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Coresets for Kernel Regression |
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0 |
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Jeff M. Phillips, Yan Zheng |
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| 139 |
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A Local Algorithm for Structure-Preserving Graph Cut |
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0 |
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Dawei Zhou, Hanghang Tong, Hasan Davulcu, Jingrui He, Mehmet Yigit Yildirim, Scott Alcorn, Si Zhang |
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| 140 |
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Anomaly Detection with Robust Deep Autoencoders |
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0 |
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Chong Zhou, Randy C. Paffenroth |
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| 141 |
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Tripoles: A New Class of Relationships in Time Series Data |
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0 |
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Anuj Karpatne, Gowtham Atluri, Saurabh Agrawal, Snigdhansu Chatterjee, Stefan Liess, Vipin Kumar, William Haltom |
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| 142 |
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Bolt: Accelerated Data Mining with Fast Vector Compression |
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0 |
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Davis W. Blalock, John V. Guttag |
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| 143 |
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DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection |
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0 |
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Alex D. Leow, Andrea Piscitello, Bokai Cao, Chenwei Zhang, John Zulueta, Kelly Ryan, Lei Zheng, Olu Ajilore, Philip S. Yu |
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| 144 |
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Fast Newton Hard Thresholding Pursuit for Sparsity Constrained Nonconvex Optimization |
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0 |
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Jinghui Chen, Quanquan Gu |
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| 145 |
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Unsupervised Feature Selection in Signed Social Networks |
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0 |
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Huan Liu, Jundong Li, Kewei Cheng |
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| 146 |
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GRAM: Graph-based Attention Model for Healthcare Representation Learning |
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0 |
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Edward Choi, Jimeng Sun, Le Song, Mohammad Taha Bahadori, Walter F. Stewart |
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| 147 |
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Structural Diversity and Homophily: A Study Across More Than One Hundred Big Networks |
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0 |
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Jian Xu, Nitesh V. Chawla, Reid A. Johnson, Yuxiao Dong |
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| 148 |
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Algorithmic Decision Making and the Cost of Fairness |
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0 |
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Avi Feller, Aziz Huq, Emma Pierson, Sam CorbettDavies, Sharad Goel |
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| 149 |
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Incremental Dual-memory LSTM in Land Cover Prediction |
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0 |
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Ankush Khandelwal, Guruprasad Nayak, James Gerber, Kimberly Carlson, Paul C. West, Vipin Kumar, Xiaowei Jia |
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| 150 |
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Federated Tensor Factorization for Computational Phenotyping |
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0 |
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Hwanjo Yu, Jimeng Sun, Xiaoqian Jiang, Yejin Kim |
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| 151 |
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MetaPAD: Meta Pattern Discovery from Massive Text Corpora |
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0 |
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Jiawei Han, Jingbo Shang, Lance M. Kaplan, Meng Jiang, Taylor Cassidy, Timothy P. Hanratty, Xiang Ren |
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| 152 |
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Statistical Emerging Pattern Mining with Multiple Testing Correction |
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0 |
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Hiroki Arimura, Junpei Komiyama, Masakazu Ishihata, Shinichi Minato, Takashi Nishibayashi |
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| 153 |
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Prospecting the Career Development of Talents: A Survival Analysis Perspective |
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0 |
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Hengshu Zhu, Hongke Zhao, Huayu Li, Hui Xiong, Yong Ge |
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| 154 |
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Semi-Supervised Techniques for Mining Learning Outcomes and Prerequisites |
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0 |
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Daqing He, Igor Labutov, Peter Brusilovsky, Yun Huang |
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| 155 |
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A Context-aware Attention Network for Interactive Question Answering |
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0 |
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Asim Kadav, Huayu Li, Martin Renqiang Min, Yong Ge |
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| 156 |
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Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources |
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0 |
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Aidong Zhang, Chuishi Meng, Fenglong Ma, Houping Xiao, Jing Gao, Lu Su, Qi Li |
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| 157 |
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Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion |
|
0 |
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Hui Xiong, Jingci Ming, Junming Liu, Leilei Sun, Qiao Li, Yanchi Liu |
|
| 158 |
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Let's See Your Digits: Anomalous-State Detection using Benford's Law |
|
0 |
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Claudia Plant, Samuel Maurus |
|
| 159 |
|
Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting |
|
0 |
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GuoJun Qi, Jiebo Luo, Jiliang Tang, Jingdong Wang |
|
| 160 |
|
Automatic Synonym Discovery with Knowledge Bases |
|
0 |
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Jiawei Han, Meng Qu, Xiang Ren |
|
| 161 |
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An Alternative to NCD for Large Sequences, Lempel-Ziv Jaccard Distance |
|
0 |
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Charles K. Nicholas, Edward Raff |
|
| 162 |
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Inferring the Strength of Social Ties: A Community-Driven Approach |
|
0 |
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Aristides Gionis, Nikolaj Tatti, Polina Rozenshtein |
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| 163 |
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Detecting Network Effects: Randomizing Over Randomized Experiments |
|
0 |
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Edoardo M. Airoldi, Guillaume SaintJacques, Jean PougetAbadie, Martin Saveski, Souvik Ghosh, Weitao Duan, Ya Xu |
|
| 164 |
|
When is a Network a Network?: Multi-Order Graphical Model Selection in Pathways and Temporal Networks |
|
0 |
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Ingo Scholtes |
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| 165 |
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ReasoNet: Learning to Stop Reading in Machine Comprehension |
|
0 |
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Jianfeng Gao, PoSen Huang, Weizhu Chen, Yelong Shen |
|
| 166 |
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Relay-Linking Models for Prominence and Obsolescence in Evolving Networks |
|
0 |
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Animesh Mukherjee, Mayank Singh, Pawan Goyal, Rajdeep Sarkar, Soumen Chakrabarti |
|
| 167 |
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PAMAE: Parallel k-Medoids Clustering with High Accuracy and Efficiency |
|
0 |
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Hwanjun Song, JaeGil Lee, WookShin Han |
|
| 168 |
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Sparse Compositional Local Metric Learning |
|
0 |
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Joseph St. Amand, Jun Huan |
|
| 169 |
|
End-to-end Learning for Short Text Expansion |
|
0 |
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Jian Tang, Kai Zheng, Qiaozhu Mei, Yue Wang |
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| 170 |
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Construction of Directed 2K Graphs |
|
0 |
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Athina Markopoulou, Bálint Tillman, Carter T. Butts, Minas Gjoka |
|
| 171 |
|
Optimized Risk Scores |
|
0 |
|
Berk Ustun, Cynthia Rudin |
|
| 172 |
|
Multi-Modality Disease Modeling via Collective Deep Matrix Factorization |
|
0 |
|
Jiayu Zhou, Liang Zhan, Mengying Sun, Paul Thompson, Qi Wang, Shuiwang Ji |
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| 173 |
|
Adversary Resistant Deep Neural Networks with an Application to Malware Detection |
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0 |
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Alexander G. Ororbia II, C. Lee Giles, Kaixuan Zhang, Qinglong Wang, Wenbo Guo, Xinyu Xing, Xue Liu |
|
| 174 |
|
Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models |
|
0 |
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Kenji Yamanishi, Shinya Sugawara, Tianyi Wu |
|
| 175 |
|
Structural Event Detection from Log Messages |
|
0 |
|
Fei Wu, Pranay Anchuri, Zhenhui Li |
|
| 176 |
|
Evaluating U.S. Electoral Representation with a Joint Statistical Model of Congressional Roll-Calls, Legislative Text, and Voter Registration Data |
|
0 |
|
Lawrence Carin, Sunshine Hillygus, Zhengming Xing |
|
| 177 |
|
Convex Factorization Machine for Toxicogenomics Prediction |
|
0 |
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Amit Goyal, Hiroshi Mamitsuka, Jianhui Chen, Kishan Wimalawarne, Makoto Yamada, Samuel Kaski, Suleiman A. Khan, Wenzhao Lian, Yi Chang |
|
| 178 |
|
Distributed Local Outlier Detection in Big Data |
|
0 |
|
Caitlin Kuhlman, Elke A. Rundensteiner, Lei Cao, Yizhou Yan |
|
| 179 |
|
Learning from Labeled and Unlabeled Vertices in Networks |
|
0 |
|
Christian Böhm, Claudia Plant, Dominik Mautz, Linfei Zhou, Wei Ye |
|
| 180 |
|
Small Batch or Large Batch?: Gaussian Walk with Rebound Can Teach |
|
0 |
|
Peifeng Yin, Ping Luo, Taiga Nakamura |
|
| 181 |
|
Inductive Semi-supervised Multi-Label Learning with Co-Training |
|
0 |
|
MinLing Zhang, Wang Zhan |
|
| 182 |
|
Learning from Multiple Teacher Networks |
|
0 |
|
Chang Xu, Chao Xu, Dacheng Tao, Shan You |
|
| 183 |
|
Using Convolutional Networks and Satellite Imagery to Identify Patterns in Urban Environments at a Large Scale |
|
0 |
|
Adrian Albert, Jasleen Kaur, Marta C. González |
|
| 184 |
|
Achieving Non-Discrimination in Data Release |
|
0 |
|
Lu Zhang, Xintao Wu, Yongkai Wu |
|
| 185 |
|
Visualizing Attributed Graphs via Terrain Metaphor |
|
0 |
|
Srinivasan Parthasarathy, Yang Zhang, Yusu Wang |
|
| 186 |
|
Luck is Hard to Beat: The Difficulty of Sports Prediction |
|
0 |
|
Pedro O. S. Vaz de Melo, Raquel Y. S. Aoki, Renato Martins Assunção |
|
| 187 |
|
Planning Bike Lanes based on Sharing-Bikes' Trajectories |
|
0 |
|
Jie Bao, Sijie Ruan, Tianfu He, Yanhua Li, Yu Zheng |
|
| 188 |
|
A Data Science Approach to Understanding Residential Water Contamination in Flint |
|
0 |
|
Alex Chojnacki, Arya Farahi, Chengyu Dai, Daniel T. Zhang, Eric M. Schwartz, Guangsha Shi, Jacob D. Abernethy, Jared Webb |
|
| 189 |
|
LiJAR: A System for Job Application Redistribution towards Efficient Career Marketplace |
|
0 |
|
Fedor Borisyuk, Krishnaram Kenthapadi, Liang Zhang |
|
| 190 |
|
A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations |
|
0 |
|
Hao Ma, Kuansan Wang, Yuxiao Dong, Zhihong Shen |
|
| 191 |
|
A Data Mining Framework for Valuing Large Portfolios of Variable Annuities |
|
0 |
|
Guojun Gan, Jimmy Xiangji Huang |
|
| 192 |
|
GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources |
|
0 |
|
Bryan L. Lewis, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Maimuna S. Majumder, Naren Ramakrishnan, Prithwish Chakraborty, Saurav Ghosh |
|
| 193 |
|
Google Vizier: A Service for Black-Box Optimization |
|
0 |
|
Benjamin Solnik, D. Sculley, Daniel Golovin, Greg Kochanski, John Karro, Subhodeep Moitra |
|
| 194 |
|
HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network |
|
0 |
|
Melih Abdulhayoglu, Shifu Hou, Yanfang Ye, Yangqiu Song |
|
| 195 |
|
PNP: Fast Path Ensemble Method for Movie Design |
|
0 |
|
Abhilash Dighe, Christos Faloutsos, Danai Koutra, Jean Bolot, Smriti Bhagat, Stratis Ioannidis, Udi Weinsberg |
|
| 196 |
|
FLAP: An End-to-End Event Log Analysis Platform for System Management |
|
0 |
|
Bin Xia, Chunqiu Zeng, Dewei Bao, Jun Wu, Li Xue, Liang Zhang, Tao Li, Wentao Wang, Wubai Zhou, Xiaolong Zhu, Yexi Jiang, Zheng Liu |
|
| 197 |
|
Developing a Comprehensive Framework for Multimodal Feature Extraction |
|
0 |
|
Alejandro de la Vega, Quinten McNamara, Tal Yarkoni |
|
| 198 |
|
Deep Choice Model Using Pointer Networks for Airline Itinerary Prediction |
|
0 |
|
Alejandro Mottini, Rodrigo AcunaAgost |
|
| 199 |
|
Backpage and Bitcoin: Uncovering Human Traffickers |
|
0 |
|
Damon McCoy, Danny Yuxing Huang, Periwinkle Doerfler, Rebecca S. Portnoff, Sadia Afroz |
|
| 200 |
|
Not All Passes Are Created Equal: Objectively Measuring the Risk and Reward of Passes in Soccer from Tracking Data |
|
0 |
|
Héctor Ruiz, Patrick Lucey, Paul Power, Xinyu Wei |
|
| 201 |
|
MARAS: Signaling Multi-Drug Adverse Reactions |
|
0 |
|
Elke A. Rundensteiner, Lei Cao, Susmitha Wunnava, Tabassum Kakar, Xiao Qin |
|
| 202 |
|
Quick Access: Building a Smart Experience for Google Drive |
|
0 |
|
Alan Green, Alexandre Mah, Alexandrin Popescul, Cayden Meyer, Divanshu Garg, Julian Gibbons, Marc Najork, Michael Smith, Mike Colagrosso, Reuben Kan, Sandeep Tata |
|
| 203 |
|
MOLIERE: Automatic Biomedical Hypothesis Generation System |
|
0 |
|
Ilya Safro, Justin Sybrandt, Michael Shtutman |
|
| 204 |
|
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution |
|
0 |
|
Andrew R. Michaelis, Auroop R. Ganguly, Evan Kodra, Ramakrishna R. Nemani, Sangram Ganguly, Thomas Vandal |
|
| 205 |
|
No Longer Sleeping with a Bomb: A Duet System for Protecting Urban Safety from Dangerous Goods |
|
0 |
|
Chao Chen, Jingyuan Wang, Junjie Wu, Zhang Xiong |
|
| 206 |
|
A Practical Algorithm for Solving the Incoherence Problem of Topic Models In Industrial Applications |
|
0 |
|
Amr Ahmed, Daniel Silva, James Long, Yuan Wang |
|
| 207 |
|
KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial |
|
0 |
|
Chaochao Chen, Jin Yu, Jun Zhou, Longfei Li, Peilin Zhao, Qing Cui, Xiaolong Li, Xinxing Yang, Xu Chen, Yi Ding, Yuan (Alan) Qi |
|
| 208 |
|
Real-Time Optimization of Web Publisher RTB Revenues |
|
0 |
|
Grégoire Jauvion, JeanMichel Renders, Nicolas Grislain, Pedro Chahuara |
|
| 209 |
|
AESOP: Automatic Policy Learning for Predicting and Mitigating Network Service Impairments |
|
0 |
|
He Yan, Jennifer Yates, Sarat C. Puthenpura, Sastry Isukapalli, Shobha Venkataraman, Supratim Deb, Zihui Ge |
|
| 210 |
|
Automated Categorization of Onion Sites for Analyzing the Darkweb Ecosystem |
|
0 |
|
Ariyam Das, Ashish Gehani, Phillip A. Porras, Shalini Ghosh, Vinod Yegneswaran |
|
| 211 |
|
Toward Automated Fact-Checking: Detecting Check-worthy Factual Claims by ClaimBuster |
|
0 |
|
Chengkai Li, Fatma Arslan, Mark Tremayne, Naeemul Hassan |
|
| 212 |
|
Large Scale Sentiment Learning with Limited Labels |
|
0 |
|
Eirini Ntoutsi, Vasileios Iosifidis |
|
| 213 |
|
Finding Precursors to Anomalous Drop in Airspeed During a Flight's Takeoff |
|
0 |
|
Bryan L. Matthews, Nikunj C. Oza, Vijay Manikandan Janakiraman |
|
| 214 |
|
Optimization Beyond Prediction: Prescriptive Price Optimization |
|
0 |
|
Ryohei Fujimaki, Shinji Ito |
|
| 215 |
|
Discovering Pollution Sources and Propagation Patterns in Urban Area |
|
0 |
|
Gao Cong, Lisi Chen, Xiucheng Li, Yun Cheng |
|
| 216 |
|
Ad Serving with Multiple KPIs |
|
0 |
|
Andrew Potter, Brendan Kitts, Ethan Thornburg, Garrett Badeau, Ishadutta Yadav, Michael Krishnan, Satyanarayana Reddy Janga, Sergey Tolkachov, Yongbo Zeng |
|
| 217 |
|
Supporting Employer Name Normalization at both Entity and Cluster Level |
|
0 |
|
Ankita Joshi, Faizan Javed, Qiaoling Liu, Vachik S. Dave |
|
| 218 |
|
Internet Device Graphs |
|
0 |
|
Adria Jewell, Enis Ceyhun Alp, Jonathan Koller, Matthew Malloy, Paul Barford |
|
| 219 |
|
BDT: Gradient Boosted Decision Tables for High Accuracy and Scoring Efficiency |
|
0 |
|
Mikhail Obukhov, Yin Lou |
|
| 220 |
|
RUSH!: Targeted Time-limited Coupons via Purchase Forecasts |
|
0 |
|
Emaad A. Manzoor, Leman Akoglu |
|
| 221 |
|
Learning to Count Mosquitoes for the Sterile Insect Technique |
|
0 |
|
D. Sculley, Daniel Newburger, Dilip Krishnan, Josh Livni, Ryan Poplin, Tiantian Zha, Yaniv Ovadia, Yoni Halpern |
|
| 222 |
|
"The Leicester City Fairytale?": Utilizing New Soccer Analytics Tools to Compare Performance in the 15/16 & 16/17 EPL Seasons |
|
0 |
|
Héctor Ruiz, Patrick Lucey, Paul Power, Xinyu Wei |
|
| 223 |
|
Automatic Application Identification from Billions of Files |
|
0 |
|
Christopher S. Gates, Kevin A. Roundy, Kyle Soska, Nicolas Christin |
|
| 224 |
|
A Hybrid Framework for Text Modeling with Convolutional RNN |
|
0 |
|
Chenglong Wang, Feijun Jiang, Hongxia Yang |
|
| 225 |
|
Learning to Generate Rock Descriptions from Multivariate Well Logs with Hierarchical Attention |
|
0 |
|
Anshuman Sahu, Bin Tong, Makoto Iwayama, Martin Klinkigt, Ravigopal Vennelakanti, Toshihiko Yanase, Yoshiyuki Kobayashi |
|
| 226 |
|
Multi-view Learning over Retinal Thickness and Visual Sensitivity on Glaucomatous Eyes |
|
0 |
|
Hiroki Sugiura, Hiroshi Murata, Kai Morino, Kenji Yamanishi, Ryo Asaoka, Taichi Kiwaki, Toshimitsu Uesaka |
|
| 227 |
|
Predicting Optimal Facility Location without Customer Locations |
|
0 |
|
Emre Yilmaz, Hakan Ferhatosmanoglu, Sanem Elbasi |
|
| 228 |
|
A Taxi Order Dispatch Model based On Combinatorial Optimization |
|
0 |
|
Guobin Wu, Jieping Ye, Junying Zhang, Lingyu Zhang, Pengcheng Feng, Pinghua Gong, Tao Hu, Yue Min |
|
| 229 |
|
Contextual Spatial Outlier Detection with Metric Learning |
|
0 |
|
Guanjie Zheng, Susan L. Brantley, Thomas Lauvaux, Zhenhui Li |
|
| 230 |
|
Stock Price Prediction via Discovering Multi-Frequency Trading Patterns |
|
0 |
|
Charu C. Aggarwal, GuoJun Qi, Liheng Zhang |
|
| 231 |
|
DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks |
|
0 |
|
Kenghao Chang, Ruofei Zhang, Zi Yin |
|
| 232 |
|
STAR: A System for Ticket Analysis and Resolution |
|
0 |
|
Chunqiu Zeng, Genady Ya. Grabarnik, Jian Xu, Larisa Shwartz, Qing Wang, Ramesh Baral, Tao Li, Wei Xue, Wubai Zhou, Zheng Liu |
|