| 1 |
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Ranking Relevance in Yahoo Search |
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0 |
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Changsung Kang, Chikashi Nobata, Dawei Yin, Hongbo Deng, Hua Ouyang, JeanMarc Langlois, Jianhui Chen, Jiliang Tang, Mianwei Zhou, Tim Daly Jr., Yi Chang, Yuening Hu |
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| 2 |
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Collaborative Knowledge Base Embedding for Recommender Systems |
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0 |
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Defu Lian, Fuzheng Zhang, Nicholas Jing Yuan, WeiYing Ma, Xing Xie |
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| 3 |
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How to Get Them a Dream Job?: Entity-Aware Features for Personalized Job Search Ranking |
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0 |
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Dhruv Arya, Jia Li, Shakti Sinha, Viet HaThuc |
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| 4 |
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Approximate Personalized PageRank on Dynamic Graphs |
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0 |
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Ashish Goel, Hongyang Zhang, Peter Lofgren |
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| 5 |
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Profiling Users from Online Social Behaviors with Applications for Tencent Social Ads |
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0 |
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Ching Law |
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| 6 |
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Towards Conversational Recommender Systems |
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0 |
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Filip Radlinski, Katja Hofmann, Konstantina Christakopoulou |
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| 7 |
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Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications |
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0 |
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Himanshu Jain, Manik Varma, Yashoteja Prabhu |
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| 8 |
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Convex Optimization for Linear Query Processing under Approximate Differential Privacy |
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0 |
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Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao |
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| 9 |
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Large-Scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks |
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0 |
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Hyuna Pyo, Jeonghee Kim, JungWoo Ha |
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| 10 |
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Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank |
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0 |
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Corey Lynch, Josh Attenberg, Kamelia Aryafar |
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| 11 |
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Online Context-Aware Recommendation with Time Varying Multi-Armed Bandit |
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0 |
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Chunqiu Zeng, Qing Wang, Shekoofeh Mokhtari, Tao Li |
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| 12 |
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Contextual Intent Tracking for Personal Assistants |
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0 |
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Kieran McDonald, Nicholas Jing Yuan, Rui Zhang, Xing Xie, Yingzi Wang, Yu Sun |
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| 13 |
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An Empirical Study on Recommendation with Multiple Types of Feedback |
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0 |
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BeeChung Chen, Bo Long, Deepak Agarwal, Liang Tang |
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| 14 |
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Compute Job Memory Recommender System Using Machine Learning |
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0 |
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Maria Lupetini, Taraneh Taghavi, Yaron Kretchmer |
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| 15 |
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Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques |
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0 |
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Horesh Ben Shitrit, Jan Van Haaren, Jesse Davis, Pascal Fua |
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| 16 |
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Point-of-Interest Recommendations: Learning Potential Check-ins from Friends |
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0 |
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Hengshu Zhu, Huayu Li, Richang Hong, Yong Ge |
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| 17 |
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Unified Point-of-Interest Recommendation with Temporal Interval Assessment |
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0 |
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Bin Liu, Chuanren Liu, Hui Xiong, Meng Qu, Yanchi Liu |
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| 18 |
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Deep Visual-Semantic Hashing for Cross-Modal Retrieval |
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0 |
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Jianmin Wang, Mingsheng Long, Philip S. Yu, Qiang Yang, Yue Cao |
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| 19 |
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How to Compete Online for News Audience: Modeling Words that Attract Clicks |
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0 |
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Alejandro Jaimes, Alice Oh, Amin Mantrach, Joon Hee Kim |
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| 20 |
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The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation |
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0 |
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Beidou Wang, Deng Cai, Jiajun Bu, Martin Ester, Yikang Liao, Yu Zhu, Ziyu Guan |
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| 21 |
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Designing Policy Recommendations to Reduce Home Abandonment in Mexico |
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0 |
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Eduardo Blancas Reyes, José Carlos González, Klaus Ackermann, Paul van der Boor, Rayid Ghani, Romana Khan, Sue He, Thomas Anderson Keller |
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| 22 |
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Developing a Data-Driven Player Ranking in Soccer Using Predictive Model Weights |
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0 |
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Joel Brooks, John V. Guttag, Matthew Kerr |
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| 23 |
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Minimizing Legal Exposure of High-Tech Companies through Collaborative Filtering Methods |
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0 |
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Bo Jin, Chao Che, Cuili Yao, Kuifei Yu, Li Guo, Qiang Zhang, Ruiyun Yu, Yue Qu |
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| 24 |
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Ranking Universities Based on Career Outcomes of Graduates |
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0 |
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BeeChung Chen, Deepak Agarwal, Igor Perisic, Navneet Kapur, Nikita I. Lytkin |
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| 25 |
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Repeat Buyer Prediction for E-Commerce |
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0 |
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Gang Zhao, Guimei Liu, Jianbo Yang, Jianneng Cao, Min Wu, Peilin Zhao, Tam T. Nguyen, Wei Chen, Wei Zha |
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| 26 |
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An Engagement-Based Customer Lifetime Value System for E-commerce |
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0 |
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Addhyan Pandey, Ali Vanderveld, Angela Han, Rajesh Parekh |
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| 27 |
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Recruitment Market Trend Analysis with Sequential Latent Variable Models |
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0 |
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Chen Zhu, Fang Xie, Hengshu Zhu, Hui Xiong, Pengliang Ding |
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| 28 |
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Gemello: Creating a Detailed Energy Breakdown from Just the Monthly Electricity Bill |
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0 |
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Amarjeet Singh, Kamin Whitehouse, Nipun Batra |
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| 29 |
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CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents |
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0 |
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Bo Zhao, David Stein, Fedor Borisyuk, Krishnaram Kenthapadi |
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| 30 |
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Kam1n0: MapReduce-based Assembly Clone Search for Reverse Engineering |
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0 |
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Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding |
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| 31 |
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Convolutional Neural Networks for Steady Flow Approximation |
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0 |
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Francesco Iorio, Wei Li, Xiaoxiao Guo |
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| 32 |
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Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis |
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0 |
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Binbin Lin, Ian Davidson, Jieping Ye, Milad Makkie, Mojtaba Sedigh Fazli, Shannon Quinn, Tianming Liu, Xiang Li |
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| 33 |
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Detecting Devastating Diseases in Search Logs |
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0 |
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Eric Horvitz, John Paparrizos, Ryen W. White |
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| 34 |
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When Recommendation Goes Wrong: Anomalous Link Discovery in Recommendation Networks |
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0 |
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Bryan Perozzi, Jack Saalweachter, Mayur Thakur, Michael Schueppert |
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| 35 |
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The Limits of Popularity-Based Recommendations, and the Role of Social Ties |
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0 |
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Alessandro Panconesi, Erisa Terolli, Marco Bressan, Prabhakar Raghavan, Stefano Leucci |
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| 36 |
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Predicting Matchups and Preferences in Context |
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0 |
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Shuo Chen, Thorsten Joachims |
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| 37 |
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Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations |
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0 |
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Guofei Jiang, Haifeng Chen, Kai Zhang, Wei Cheng, Wei Wang, Zhengzhang Chen |
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| 38 |
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A Subsequence Interleaving Model for Sequential Pattern Mining |
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0 |
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Charles Sutton, Jaroslav M. Fowkes |
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| 39 |
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QUINT: On Query-Specific Optimal Networks |
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0 |
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Hanghang Tong, Jie Tang, Liangyue Li, Wei Fan, Yuan Yao |
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| 40 |
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Asymmetric Transitivity Preserving Graph Embedding |
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0 |
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Jian Pei, Mingdong Ou, Peng Cui, Wenwu Zhu, Ziwei Zhang |
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| 41 |
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ABRA: Approximating Betweenness Centrality in Static and Dynamic Graphs with Rademacher Averages |
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0 |
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Eli Upfal, Matteo Riondato |
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| 42 |
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Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data |
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0 |
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Bistra Dilkina, Constantine Dovrolis, Payam Siyari |
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| 43 |
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Structural Deep Network Embedding |
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0 |
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Daixin Wang, Peng Cui, Wenwu Zhu |
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| 44 |
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Revisiting Random Binning Features: Fast Convergence and Strong Parallelizability |
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0 |
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Ian EnHsu Yen, Jie Chen, Lingfei Wu, Rui Yan |
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| 45 |
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Recurrent Marked Temporal Point Processes: Embedding Event History to Vector |
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0 |
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Hanjun Dai, Le Song, Manuel GomezRodriguez, Nan Du, Rakshit Trivedi, Utkarsh Upadhyay |
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| 46 |
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Meta Structure: Computing Relevance in Large Heterogeneous Information Networks |
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0 |
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Nikos Mamoulis, Reynold Cheng, Xiang Li, Yizhou Sun, Yudian Zheng, Zhipeng Huang |
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| 47 |
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A Multi-Task Learning Formulation for Survival Analysis |
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0 |
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Chandan K. Reddy, Jie Wang, Jieping Ye, Yan Li |
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| 48 |
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Multi-Task Feature Interaction Learning |
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0 |
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Inci M. Baytas, Jianpeng Xu, Jiayu Zhou, Kaixiang Lin, Shuiwang Ji |
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| 49 |
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Scalable Pattern Matching over Compressed Graphs via Dedensification |
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0 |
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Antonio Maccioni, Daniel J. Abadi |
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| 50 |
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Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding |
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0 |
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Clare R. Voss, Heng Ji, Jiawei Han, Meng Qu, Wenqi He, Xiang Ren |
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| 51 |
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Data-driven Automatic Treatment Regimen Development and Recommendation |
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0 |
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Chonghui Guo, Chuanren Liu, Hui Xiong, Leilei Sun, Yanming Xie |
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| 52 |
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FUSE: Full Spectral Clustering |
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0 |
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Christian Böhm, Claudia Plant, Sebastian Goebl, Wei Ye |
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| 53 |
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Collaborative Multi-View Denoising |
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0 |
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Binbin Li, Dinggang Shen, Lei Zhang, Shuiwang Ji, Shupeng Wang, Xiaoyu Zhang, Yong Wang |
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| 54 |
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Portfolio Selections in P2P Lending: A Multi-Objective Perspective |
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0 |
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Enhong Chen, Guifeng Wang, Hongke Zhao, Qi Liu, Yong Ge |
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| 55 |
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Graphons and Machine Learning: Modeling and Estimation of Sparse Massive Networks |
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0 |
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Jennifer T. Chayes |
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| 56 |
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Predictors without Borders: Behavioral Modeling of Product Adoption in Three Developing Countries |
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0 |
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Joshua E. Blumenstock, Muhammad Raza Khan |
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| 57 |
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From Online Behaviors to Offline Retailing |
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0 |
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Ping Luo, Qing He, Shengwen Yang, Su Yan, Zhiqiang Liu, Zhiyong Shen |
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| 58 |
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Large-Scale Machine Learning at Verizon: Theory and Applications |
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0 |
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Ashok Srivastava |
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| 59 |
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Understanding Behaviors that Lead to Purchasing: A Case Study of Pinterest |
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0 |
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Caroline Lo, Dan Frankowski, Jure Leskovec |
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| 60 |
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Improving the Sensitivity of Online Controlled Experiments: Case Studies at Netflix |
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0 |
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Huizhi Xie, Juliette Aurisset |
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| 61 |
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Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising |
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0 |
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Jian Xu, Jun Wang, Tianxiong Zhou, Weinan Zhang |
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| 62 |
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Robust Large-Scale Machine Learning in the Cloud |
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0 |
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BorYiing Su, Dennis Fetterly, Eugene J. Shekita, Steffen Rendle |
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| 63 |
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A Multiple Test Correction for Streams and Cascades of Statistical Hypothesis Tests |
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0 |
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François Petitjean, Geoffrey I. Webb |
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| 64 |
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DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks |
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0 |
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Kenghao Chang, Ruofei Zhang, Shuangfei Zhai, Zhongfei (Mark) Zhang |
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| 65 |
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Optimal Reserve Prices in Upstream Auctions: Empirical Application on Online Video Advertising |
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0 |
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Kuangchih Lee, Miguel Angel Alcobendas Lisbona, Sheide Chammas |
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| 66 |
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Fast Component Pursuit for Large-Scale Inverse Covariance Estimation |
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0 |
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Lei Han, Tong Zhang, Yu Zhang |
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| 67 |
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Online Feature Selection: A Limited-Memory Substitution Algorithm and Its Asynchronous Parallel Variation |
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0 |
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Haichuan Yang, Ji Liu, Ryohei Fujimaki, Yukitaka Kusumura |
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| 68 |
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Distributing the Stochastic Gradient Sampler for Large-Scale LDA |
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0 |
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Jianfei Chen, Jun Zhu, Yuan Yang |
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| 69 |
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Data-Driven Metric Development for Online Controlled Experiments: Seven Lessons Learned |
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0 |
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Alex Deng, Xiaolin Shi |
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| 70 |
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Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records |
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0 |
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Bowen Du, Chuanren Liu, Hui Xiong, Wenjun Zhou, Zhenshan Hou |
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| 71 |
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Online Dual Decomposition for Performance and Delivery-Based Distributed Ad Allocation |
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0 |
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Cédric Archambeau, Jim C. Huang, Rodolphe Jenatton |
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| 72 |
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Audience Expansion for Online Social Network Advertising |
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0 |
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Chongzhe Li, David Pardoe, Frank Cao, Haishan Liu, Kun Liu, Manoj Thakur |
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| 73 |
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Engagement Capacity and Engaging Team Formation for Reach Maximization of Online Social Media Platforms |
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0 |
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Alexander G. Nikolaev, Shounak Gore, Venu Govindaraju |
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| 74 |
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Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments |
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0 |
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Alexey Drutsa, Alexey Poyarkov, Andrey Khalyavin, Gleb Gusev, Pavel Serdyukov |
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| 75 |
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Question Independent Grading using Machine Learning: The Case of Computer Program Grading |
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0 |
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Gursimran Singh, Shashank Srikant, Varun Aggarwal |
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| 76 |
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Evaluating Mobile Apps with A/B and Quasi A/B Tests |
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0 |
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Nanyu Chen, Ya Xu |
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| 77 |
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GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction |
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0 |
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BeeChung Chen, Deepak Agarwal, Liang Zhang, XianXing Zhang, Yiming Ma, Yitong Zhou |
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| 78 |
|
How Machine Learning has Finally Solved Wanamaker's Dilemma |
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0 |
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Oliver Downs |
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| 79 |
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The Wisdom of Crowds: Best Practices for Data Prep & Machine Learning Derived from Millions of Data Science Workflows |
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0 |
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Ingo Mierswa |
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| 80 |
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Domain Adaptation in the Absence of Source Domain Data |
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0 |
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Boris Chidlovskii, Gabriela Csurka, Stéphane Clinchant |
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| 81 |
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Joint Optimization of Multiple Performance Metrics in Online Video Advertising |
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0 |
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Jianqiang Shen, Sahin Cem Geyik, Santanu Kolay, Sean O'Donnell, Sergey Faleev |
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| 82 |
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CompanyDepot: Employer Name Normalization in the Online Recruitment Industry |
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0 |
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Faizan Javed, Matt McNair, Qiaoling Liu |
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| 83 |
|
Text Mining in Clinical Domain: Dealing with Noise |
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0 |
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Hoang Nguyen, Jon Patrick |
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| 84 |
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Streaming-LDA: A Copula-based Approach to Modeling Topic Dependencies in Document Streams |
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0 |
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Hesam Amoualian, Marianne Clausel, MassihReza Amini, Éric Gaussier |
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| 85 |
|
Positive-Unlabeled Learning in Streaming Networks |
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0 |
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Dawei Yin, Jiliang Tang, Mark A. HasegawaJohnson, Shiyu Chang, Thomas S. Huang, Yang Zhang, Yi Chang |
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| 86 |
|
TRIÈST: Counting Local and Global Triangles in Fully-Dynamic Streams with Fixed Memory Size |
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0 |
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Alessandro Epasto, Eli Upfal, Lorenzo De Stefani, Matteo Riondato |
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| 87 |
|
When Social Influence Meets Item Inference |
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0 |
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DeNian Yang, HongHan Shuai, HuiJu Hung, Jian Pei, LiangHao Huang, MingSyan Chen, WangChien Lee |
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| 88 |
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Privacy-preserving Class Ratio Estimation |
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0 |
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Arun Shankar Iyer, J. Saketha Nath, Sunita Sarawagi |
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| 89 |
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CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors |
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0 |
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Christos Faloutsos, Jiawei Han, Meng Jiang |
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| 90 |
|
Mining Subgroups with Exceptional Transition Behavior |
|
0 |
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Andreas Hotho, Denis Helic, Florian Lemmerich, Markus Strohmaier, Martin Becker, Philipp Singer |
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| 91 |
|
Dynamic Clustering of Streaming Short Documents |
|
0 |
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Emine Yilmaz, Evangelos Kanoulas, Shangsong Liang |
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| 92 |
|
Regime Shifts in Streams: Real-time Forecasting of Co-evolving Time Sequences |
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0 |
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Yasuko Matsubara, Yasushi Sakurai |
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| 93 |
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Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs |
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0 |
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Emaad A. Manzoor, Leman Akoglu, Sadegh M. Milajerdi |
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| 94 |
|
Sampling of Attributed Networks from Hierarchical Generative Models |
|
0 |
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Jennifer Neville, Pablo RoblesGranda, Sebastián Moreno |
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| 95 |
|
Towards Optimal Cardinality Estimation of Unions and Intersections with Sketches |
|
0 |
|
Daniel Ting |
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| 96 |
|
Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure |
|
0 |
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Kai Ming Ting, Mark James Carman, Ye Zhu, Yue Zhu, ZhiHua Zhou |
|
| 97 |
|
Just One More: Modeling Binge Watching Behavior |
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0 |
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Azin Ashkan, Brian Eriksson, Weicong Ding, William Trouleau |
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| 98 |
|
Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective |
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0 |
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Enhong Chen, Hao Zhong, Hengshu Zhu, Hui Xiong, Qi Liu, Tong Xu, Xiangyu Zhao |
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| 99 |
|
Accelerating Online CP Decompositions for Higher Order Tensors |
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0 |
|
Ian Davidson, James Bailey, Shuo Zhou, Xuan Vinh Nguyen, Yunzhe Jia |
|
| 100 |
|
Compressing Convolutional Neural Networks in the Frequency Domain |
|
0 |
|
James T. Wilson, Kilian Q. Weinberger, Stephen Tyree, Wenlin Chen, Yixin Chen |
|
| 101 |
|
Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environments |
|
0 |
|
ChihJen Lin, MuChu Lee, WeiLin Chiang |
|
| 102 |
|
Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test |
|
0 |
|
Denis Moreira dos Reis, Gustavo E. A. P. A. Batista, Peter A. Flach, Stan Matwin |
|
| 103 |
|
Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations |
|
0 |
|
Bo Kang, Jefrey Lijffijt, Raúl SantosRodriguez, Tijl De Bie |
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| 104 |
|
Online Optimization Methods for the Quantification Problem |
|
0 |
|
Fabrizio Sebastiani, Harikrishna Narasimhan, Purushottam Kar, Sanjay Chawla, Shuai Li |
|
| 105 |
|
Lightweight Monitoring of Distributed Streams |
|
0 |
|
Arnon Lazerson, Assaf Schuster, Daniel Keren |
|
| 106 |
|
Bayesian Inference of Arrival Rate and Substitution Behavior from Sales Transaction Data with Stockouts |
|
0 |
|
Benjamin Letham, Cynthia Rudin, Lydia M. Letham |
|
| 107 |
|
Scalable Betweenness Centrality Maximization via Sampling |
|
0 |
|
Ahmad Mahmoody, Charalampos E. Tsourakakis, Eli Upfal |
|
| 108 |
|
User Identity Linkage by Latent User Space Modelling |
|
0 |
|
EePeng Lim, Feida Zhu, Jianzong Wang, Jing Xiao, Xin Mu, ZhiHua Zhou |
|
| 109 |
|
A Text Clustering Algorithm Using an Online Clustering Scheme for Initialization |
|
0 |
|
Jianhua Yin, Jianyong Wang |
|
| 110 |
|
Accelerated Stochastic Block Coordinate Descent with Optimal Sampling |
|
0 |
|
Aston Zhang, Quanquan Gu |
|
| 111 |
|
Online Asymmetric Active Learning with Imbalanced Data |
|
0 |
|
Padmini Srinivasan, Tianbao Yang, Xiaoxuan Zhang |
|
| 112 |
|
Lifelong Machine Learning and Computer Reading the Web |
|
0 |
|
Bing Liu, Estevam R. Hruschka Jr., Zhiyuan Chen |
|
| 113 |
|
Streaming Analytics |
|
0 |
|
Ashish Gupta, Neera Agarwal |
|
| 114 |
|
IoT Big Data Stream Mining |
|
0 |
|
Albert Bifet, Gianmarco De Francisci Morales, João Gama, Latifur Khan, Wei Fan |
|
| 115 |
|
Algorithmic Bias: From Discrimination Discovery to Fairness-aware Data Mining |
|
0 |
|
Carlos Castillo, Francesco Bonchi, Sara Hajian |
|
| 116 |
|
A VC View of Investing in ML |
|
0 |
|
Greg Papadopoulos |
|
| 117 |
|
Learning to Learn and Compositionality with Deep Recurrent Neural Networks: Learning to Learn and Compositionality |
|
0 |
|
Nando de Freitas |
|
| 118 |
|
The Evolving Meaning of Information Security |
|
0 |
|
Whitfield Diffie |
|
| 119 |
|
People, Computers, and The Hot Mess of Real Data |
|
0 |
|
Joseph M. Hellerstein |
|
| 120 |
|
Big Data Needs Big Dreamers: Lessons from Successful Big Data Investors |
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0 |
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Evangelos Simoudis, Greg Sands, Mark Gorenberg, Matt Ocko, Tim Guleri |
|
| 121 |
|
Aircraft Trajectory Prediction Made Easy with Predictive Analytics |
|
0 |
|
Hanan Samet, Samet Ayhan |
|
| 122 |
|
Predicting Disk Replacement towards Reliable Data Centers |
|
0 |
|
Dorothea Wiesmann, Ioana Giurgiu, Jasmina Bogojeska, Mirela Madalina Botezatu |
|
| 123 |
|
Matrix Computations and Optimization in Apache Spark |
|
0 |
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Aaron Staple, Alexander Ulanov, Burak Yavuz, Evan R. Sparks, Li Pu, Matei Zaharia, Reza Bosagh Zadeh, Shivaram Venkataraman, Xiangrui Meng |
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| 124 |
|
Identifying Police Officers at Risk of Adverse Events |
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0 |
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Ayesha Mahmud, C. P. T. Estella Patterson, Crystal Cody, Jennifer Helsby, Joe Walsh, Kenneth Joseph, Lauren Haynes, Rayid Ghani, Samuel Carton, Youngsoo Park |
|
| 125 |
|
The Legislative Influence Detector: Finding Text Reuse in State Legislation |
|
0 |
|
Derek Willis, Eugenia Giraudy, Joe Walsh, Julian KatzSamuels, Lauren Haynes, Matthew Burgess, Rayid Ghani |
|
| 126 |
|
Email Volume Optimization at LinkedIn |
|
0 |
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Guanfeng Liang, HsiaoPing Tseng, Ravi Kiran Holur Vijay, Rupesh Gupta, Rómer Rosales, Xiaoyu Chen |
|
| 127 |
|
Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta |
|
0 |
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Bistra Dilkina, Duen Horng Chau, Matthew HindsAldrich, Michael A. Madaio, Oliver L. Haimson, ShangTse Chen, Wenwen Zhang, Xiang Cheng |
|
| 128 |
|
DopeLearning: A Computational Approach to Rap Lyrics Generation |
|
0 |
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Aristides Gionis, Eric Malmi, Hannu Toivonen, Pyry Takala, Tapani Raiko |
|
| 129 |
|
Anomaly Detection Using Program Control Flow Graph Mining From Execution Logs |
|
0 |
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Animesh Nandi, Atri Mandal, Gargi Banerjee Dasgupta, Shubham Atreja, Subhrajit Bhattacharya |
|
| 130 |
|
EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System |
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0 |
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Achla Marathe, Alla Rozovskaya, Andy Doyle, Anil Vullikanti, ChangTien Lu, David Mares, Dipak K. Gupta, Graham Katz, Jaime Arredondo, Jose Cadena, Kristen Maria Summers, Liang Zhao, Naren Ramakrishnan, Nathan Self, Parang Saraf, Patrick Butler, Rupinder Paul Khandpur, Sathappan Muthiah |
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| 131 |
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Dynamic and Robust Wildfire Risk Prediction System: An Unsupervised Approach |
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0 |
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Anna Phan, Laura Irina Rusu, Mahsa Salehi, Timothy M. Lynar |
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| 132 |
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Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features |
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0 |
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Dong Yu, Haijing Wang, J. C. Mao, Jian Jiao, T. Ryan Hoens, Ying Shan |
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| 133 |
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Identifying Earmarks in Congressional Bills |
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0 |
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Christopher Berry, Ellery Wulczyn, Joe Walsh, Madian Khabsa, Matthew Heston, Rayid Ghani, Vrushank Vora |
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| 134 |
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Identifying Decision Makers from Professional Social Networks |
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0 |
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Abhishek Gupta, Evangelia Christakopoulou, Shipeng Yu |
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| 135 |
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A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines |
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0 |
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Bilal Ahmed, Carla E. Brodley, Jennifer G. Dy, Karen E. Blackmon, Orrin Devinsky, Ruben Kuzniecky, Thomas Thesen, Yijun Zhao |
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| 136 |
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Batch Model for Batched Timestamps Data Analysis with Application to the SSA Disability Program |
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0 |
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Ao Yuan, Chunxiao Zhou, Minh Huynh, Qingqi Yue, Xuan Che |
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| 137 |
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Can You Teach the Elephant to Dance? AKA: Culture Eats Data Science for Breakfast |
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0 |
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Jonathan D. Becher |
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| 138 |
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Days on Market: Measuring Liquidity in Real Estate Markets |
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0 |
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Enhong Chen, Fangshuang Tang, Hengshu Zhu, Hui Xiong, Qi Liu, Yanjie Fu, Yong Ge |
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| 139 |
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Learning Sparse Models at Scale |
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0 |
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Ralf Herbrich |
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| 140 |
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Accelerating the Race to Autonomous Cars |
|
0 |
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Danny Shapiro |
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| 141 |
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Computational Social Science: Exciting Progress and Future Challenges |
|
0 |
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Duncan Watts |
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| 142 |
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Bayesian Optimization and Embedded Learning Systems |
|
0 |
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Jeff Schneider |
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| 143 |
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MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach |
|
0 |
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Bo An, Haipeng Chen, Noseong Park, V. S. Subrahmanian |
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| 144 |
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Computational Drug Repositioning Using Continuous Self-Controlled Case Series |
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0 |
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David Page, James A. Thomson, Michael Caldwell, Peggy L. Peissig, Ron M. Stewart, Zhaobin Kuang |
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| 145 |
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Singapore in Motion: Insights on Public Transport Service Level Through Farecard and Mobile Data Analytics |
|
0 |
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Hasan Poonawala, Laura Wynter, Sambit Sahu, Sebastien Blandin, Vinay Kolar |
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| 146 |
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Deploying Analytics with the Portable Format for Analytics (PFA) |
|
0 |
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Collin Bennett, Jim Pivarski, Robert L. Grossman |
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| 147 |
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EMBERS AutoGSR: Automated Coding of Civil Unrest Events |
|
0 |
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Naren Ramakrishnan, Parang Saraf |
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| 148 |
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Crime Rate Inference with Big Data |
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0 |
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Corina Graif, Daniel Kifer, Hongjian Wang, Zhenhui Li |
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| 149 |
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Scalable Time-Decaying Adaptive Prediction Algorithm |
|
0 |
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Eric P. Xing, Fangshan Wang, Guilin Li, Qirong Ho, Qiuling Pan, Shikai Liu, Yinyan Tan, Zhe Fan, Zhengbing Li |
|
| 150 |
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Talent Circle Detection in Job Transition Networks |
|
0 |
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Hengshu Zhu, Huang Xu, Hui Xiong, Jingyuan Yang, Zhiwen Yu |
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| 151 |
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Compact and Scalable Graph Neighborhood Sketching |
|
0 |
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Takuya Akiba, Yosuke Yano |
|
| 152 |
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Assessing Human Error Against a Benchmark of Perfection |
|
0 |
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Ashton Anderson, Jon M. Kleinberg, Sendhil Mullainathan |
|
| 153 |
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Inferring Network Effects from Observational Data |
|
0 |
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Dan Garant, David D. Jensen, David T. Arbour |
|
| 154 |
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Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns |
|
0 |
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Arno Siebes, Jilles Vreeken, Roel Bertens |
|
| 155 |
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Communication Efficient Distributed Kernel Principal Component Analysis |
|
0 |
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Bo Xie, David P. Woodruff, Le Song, MariaFlorina Balcan, Yingyu Liang |
|
| 156 |
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FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks |
|
0 |
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Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He |
|
| 157 |
|
XGBoost: A Scalable Tree Boosting System |
|
0 |
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Carlos Guestrin, Tianqi Chen |
|
| 158 |
|
Robust Influence Maximization |
|
0 |
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Mingfei Zhao, Tian Lin, Wei Chen, Xuren Zhou, Zihan Tan |
|
| 159 |
|
Efficient Frequent Directions Algorithm for Sparse Matrices |
|
0 |
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Edo Liberty, Jeff M. Phillips, Mina Ghashami |
|
| 160 |
|
node2vec: Scalable Feature Learning for Networks |
|
0 |
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Aditya Grover, Jure Leskovec |
|
| 161 |
|
Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data |
|
0 |
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Lei Han, Tong Zhang, XiuFeng Wan, Yu Zhang |
|
| 162 |
|
FRAUDAR: Bounding Graph Fraud in the Face of Camouflage |
|
0 |
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Alex Beutel, Bryan Hooi, Christos Faloutsos, Hyun Ah Song, Kijung Shin, Neil Shah |
|
| 163 |
|
Robust Influence Maximization |
|
0 |
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David Kempe, Xinran He |
|
| 164 |
|
Joint Community and Structural Hole Spanner Detection via Harmonic Modularity |
|
0 |
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ChunTa Lu, Jianping Cao, Jiaqi Ma, Lifang He, Linlin Shen, Philip S. Yu |
|
| 165 |
|
Temporal Order-based First-Take-All Hashing for Fast Attention-Deficit-Hyperactive-Disorder Detection |
|
0 |
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GuoJun Qi, Hao Hu, Joey VelezGinorio |
|
| 166 |
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Smart Reply: Automated Response Suggestion for Email |
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0 |
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Andrew Tomkins, Anjuli Kannan, Balint Miklos, Greg Corrado, Karol Kurach, László Lukács, Marina Ganea, Peter Young, Sujith Ravi, Tobias Kaufmann, Vivek Ramavajjala |
|
| 167 |
|
Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization |
|
0 |
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Hui Xiong, Junming Liu, Leilei Sun, Weiwei Chen |
|
| 168 |
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AnyDBC: An Efficient Anytime Density-based Clustering Algorithm for Very Large Complex Datasets |
|
0 |
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Ira Assent, Martin Storgaard, Son T. Mai |
|
| 169 |
|
Skinny-dip: Clustering in a Sea of Noise |
|
0 |
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Claudia Plant, Samuel Maurus |
|
| 170 |
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Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems |
|
0 |
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Arindam Banerjee, Bryan L. Matthews, Igor Melnyk, Nikunj C. Oza |
|
| 171 |
|
Continuous Experience-aware Language Model |
|
0 |
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Gerhard Weikum, Stephan Günnemann, Subhabrata Mukherjee |
|
| 172 |
|
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning |
|
0 |
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Huzefa Rangwala, Naren Ramakrishnan, Sathappan Muthiah, Yue Ning |
|
| 173 |
|
Structural Neighborhood Based Classification of Nodes in a Network |
|
0 |
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M. Narasimha Murty, Sharad Nandanwar |
|
| 174 |
|
PTE: Enumerating Trillion Triangles On Distributed Systems |
|
0 |
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HaMyung Park, SungHyon Myaeng, U Kang |
|
| 175 |
|
"Why Should I Trust You?": Explaining the Predictions of Any Classifier |
|
0 |
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Carlos Guestrin, Marco Túlio Ribeiro, Sameer Singh |
|
| 176 |
|
Goal-Directed Inductive Matrix Completion |
|
0 |
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ChoJui Hsieh, Inderjit S. Dhillon, KaiYang Chiang, Nikhil Rao, Si Si |
|
| 177 |
|
Graph Wavelets via Sparse Cuts |
|
0 |
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Ambuj K. Singh, Ananthram Swami, Arlei Silva, Prithwish Basu, XuanHong Dang |
|
| 178 |
|
Targeted Topic Modeling for Focused Analysis |
|
0 |
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Bing Liu, Geli Fei, Sherry Emery, Shuai Wang, Zhiyuan Chen |
|
| 179 |
|
Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix |
|
0 |
|
Feiping Nie, Heng Huang, Xiaoqian Wang |
|
| 180 |
|
Robust Extreme Multi-label Learning |
|
0 |
|
Chang Xu, Chao Xu, Dacheng Tao |
|
| 181 |
|
GMove: Group-Level Mobility Modeling Using Geo-Tagged Social Media |
|
0 |
|
Chao Zhang, Jiawei Han, Keyang Zhang, Luming Zhang, Quan Yuan, Tim Hanratty |
|
| 182 |
|
FINAL: Fast Attributed Network Alignment |
|
0 |
|
Hanghang Tong, Si Zhang |
|
| 183 |
|
Annealed Sparsity via Adaptive and Dynamic Shrinking |
|
0 |
|
Chaoran Cheng, Guofei Jiang, Haifeng Chen, Jieping Ye, Kai Zhang, Shandian Zhe, Yuan Qi, Zhengzhang Chen, Zhi Wei |
|
| 184 |
|
Partial Label Learning via Feature-Aware Disambiguation |
|
0 |
|
BinBin Zhou, MinLing Zhang, XuYing Liu |
|
| 185 |
|
Come-and-Go Patterns of Group Evolution: A Dynamic Model |
|
0 |
|
Christos Faloutsos, Hao Ye, Peng Cui, Shiqiang Yang, Tianyang Zhang, Wenwu Zhu, Yunfei Lu |
|
| 186 |
|
NetCycle: Collective Evolution Inference in Heterogeneous Information Networks |
|
0 |
|
Xiangnan Kong, Yangyong Zhu, Yizhou Zhang, Yun Xiong |
|
| 187 |
|
Burstiness Scale: A Parsimonious Model for Characterizing Random Series of Events |
|
0 |
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Pedro Olmo Stancioli Vaz de Melo, Renato Martins Assunção, Rodrigo Augusto da Silva Alves |
|
| 188 |
|
MANTRA: A Scalable Approach to Mining Temporally Anomalous Sub-trajectories |
|
0 |
|
Pranali Yawalkar, Prithu Banerjee, Sayan Ranu |
|
| 189 |
|
From Prediction to Action: A Closed-Loop Approach for Data-Guided Network Resource Allocation |
|
0 |
|
Huasen Wu, Xin Liu, Yanan Bao |
|
| 190 |
|
Towards Robust and Versatile Causal Discovery for Business Applications |
|
0 |
|
Giorgos Borboudakis, Ioannis Tsamardinos |
|
| 191 |
|
Predicting Socio-Economic Indicators using News Events |
|
0 |
|
Ashwin Venkataraman, Lakshminarayanan Subramanian, Srikanth Jagabathula, Sunandan Chakraborty |
|
| 192 |
|
City-Scale Map Creation and Updating using GPS Collections |
|
0 |
|
Cewu Lu, Chen Chen, Dimitrios Gunopulos, Leonidas J. Guibas, Qiang Yang, Qixing Huang |
|
| 193 |
|
Multi-layer Representation Learning for Medical Concepts |
|
0 |
|
Catherine Coffey, Edward Choi, Elizabeth Searles, James Bost, Javier TejedorSojo, Jimeng Sun, Michael Thompson, Mohammad Taha Bahadori |
|
| 194 |
|
Finding Gangs in War from Signed Networks |
|
0 |
|
Enhong Chen, Jian Pei, Jiannan Wang, Lingyang Chu, Zhefeng Wang, Zijin Zhao |
|
| 195 |
|
Efficient Processing of Network Proximity Queries via Chebyshev Acceleration |
|
0 |
|
Ananth Grama, Mehmet Koyutürk, Mustafa Coskun |
|
| 196 |
|
Latent Space Model for Road Networks to Predict Time-Varying Traffic |
|
0 |
|
Cyrus Shahabi, Dingxiong Deng, Linhong Zhu, Rose Yu, Ugur Demiryurek, Yan Liu |
|
| 197 |
|
Compressing Graphs and Indexes with Recursive Graph Bisection |
|
0 |
|
Alon Shalita, Brian Karrer, Giuseppe Ottaviano, Igor Kabiljo, Laxman Dhulipala, Sergey Pupyrev |
|
| 198 |
|
Learning Cumulatively to Become More Knowledgeable |
|
0 |
|
Bing Liu, Geli Fei, Shuai Wang |
|
| 199 |
|
Squish: Near-Optimal Compression for Archival of Relational Datasets |
|
0 |
|
Aditya G. Parameswaran, Yihan Gao |
|
| 200 |
|
Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm |
|
0 |
|
Feiping Nie, Heng Huang, Zhouyuan Huo |
|
| 201 |
|
Smart Broadcasting: Do You Want to be Seen? |
|
0 |
|
Erfan Tavakoli, Le Song, Manuel GomezRodriguez, Mehrdad Farajtabar, Mohammad Reza Karimi |
|
| 202 |
|
Causal Clustering for 1-Factor Measurement Models |
|
0 |
|
Erich Kummerfeld, Joseph D. Ramsey |
|
| 203 |
|
Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test Design |
|
0 |
|
Christoph Studer, Frans Schalekamp, Hod Lipson, Igor Labutov, Kelvin Luu |
|
| 204 |
|
Interpretable Decision Sets: A Joint Framework for Description and Prediction |
|
0 |
|
Himabindu Lakkaraju, Jure Leskovec, Stephen H. Bach |
|
| 205 |
|
Parallel Lasso Screening for Big Data Optimization |
|
0 |
|
Jie Wang, Jieping Ye, Paul M. Thompson, Qingyang Li, Shuang Qiu, Shuiwang Ji |
|
| 206 |
|
A Real Linear and Parallel Multiple Longest Common Subsequences (MLCS) Algorithm |
|
0 |
|
Hui Li, Sheng Wang, Tihua Duan, Yang Cheng, Yanni Li, Zhi Wang |
|
| 207 |
|
Infinite Ensemble for Image Clustering |
|
0 |
|
Hongfu Liu, Ming Shao, Sheng Li, Yun Fu |
|
| 208 |
|
Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining |
|
0 |
|
Ichiro Takeuchi, Kazuya Nakagawa, Koji Tsuda, Masayuki Karasuyama, Shinya Suzumura |
|
| 209 |
|
Lossless Separation of Web Pages into Layout Code and Data |
|
0 |
|
Adi Omari, Benny Kimelfeld, Eran Yahav, Sharon Shoham |
|
| 210 |
|
Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression |
|
0 |
|
Jieping Ye, Pinghua Gong, Zhi Nie |
|
| 211 |
|
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition |
|
0 |
|
Igor Labutov, Siddharth Reddy, Siddhartha Banerjee, Thorsten Joachims |
|
| 212 |
|
Reconstructing an Epidemic Over Time |
|
0 |
|
Aristides Gionis, B. Aditya Prakash, Jilles Vreeken, Polina Rozenshtein |
|
| 213 |
|
Improving Survey Aggregation with Sparsely Represented Signals |
|
0 |
|
David P. Wipf, Forest Agostinelli, Matthew Staib, Thomas Moscibroda, Tianlin Shi |
|
| 214 |
|
Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay |
|
0 |
|
Mitul Tiwari, Myunghwan Kim, Rómer Rosales, Shaunak Chatterjee, Souvik Ghosh, Yu Shi |
|
| 215 |
|
Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices |
|
0 |
|
Hiroto Saigo, Simon J. Puglisi, Yasuo Tabei, Yoshihiro Yamanishi |
|
| 216 |
|
From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach |
|
0 |
|
Bo Zhao, Jiawei Han, Jing Gao, Lance M. Kaplan, Mengting Wan, Xiangyu Chen |
|
| 217 |
|
Transfer Knowledge between Cities |
|
0 |
|
Qiang Yang, Ying Wei, Yu Zheng |
|
| 218 |
|
Probabilistic Robust Route Recovery with Spatio-Temporal Dynamics |
|
0 |
|
Baihua Zheng, Hanyuan Zhang, Hao Wu, Jiangyun Mao, Wei Wang, Weiwei Sun, Ziyang Chen |
|
| 219 |
|
A Truth Discovery Approach with Theoretical Guarantee |
|
0 |
|
Han Liu, Houping Xiao, Jing Gao, Lu Su, Shiyu Wang, Zhaoran Wang |
|
| 220 |
|
Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach |
|
0 |
|
Aidong Zhang, Fenglong Ma, Houping Xiao, Jing Gao, Lu Su, Qi Li, Yunlong Feng |
|
| 221 |
|
Absolute Fused Lasso and Its Application to Genome-Wide Association Studies |
|
0 |
|
Jieping Ye, Jun Liu, Pinghua Gong, Ruiwen Zhang, Tao Yang, Xiaotong Shen |
|
| 222 |
|
Diversified Temporal Subgraph Pattern Mining |
|
0 |
|
Da Yan, Huanhuan Wu, James Cheng, John C. S. Lui, Shuigeng Zhou, Yi Yang |
|
| 223 |
|
Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications |
|
0 |
|
Chengxi Zang, Christos Faloutsos, Peng Cui |
|
| 224 |
|
FLASH: Fast Bayesian Optimization for Data Analytic Pipelines |
|
0 |
|
Hang Su, Jimeng Sun, Mohammad Taha Bahadori, Yuyu Zhang |
|
| 225 |
|
Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting |
|
0 |
|
ChangTien Lu, Feng Chen, Jieping Ye, Liang Zhao, Naren Ramakrishnan |
|
| 226 |
|
Efficient Shift-Invariant Dictionary Learning |
|
0 |
|
Guoqing Zheng, Jaime G. Carbonell, Yiming Yang |
|
| 227 |
|
Topic Modeling of Short Texts: A Pseudo-Document View |
|
0 |
|
Fei Wang, Hao Lin, Hui Xiong, Hui Zhang, Junjie Wu, Ke Xu, Yuan Zuo |
|
| 228 |
|
Scalable Data Analytics Using R: Single Machines to Hadoop Spark Clusters |
|
0 |
|
Debraj GuhaThakurta, JohnMark Agosta, Mario Inchiosa, Mengyue Zhao, Robert Horton, Srini Kumar |
|
| 229 |
|
Mining Reliable Information from Passively and Actively Crowdsourced Data |
|
0 |
|
Bo Zhao, Jiawei Han, Jing Gao, Qi Li, Wei Fan |
|
| 230 |
|
Collective Sensemaking via Social Sensors: Extracting, Profiling, Analyzing, and Predicting Real-world Events |
|
0 |
|
Jiebo Luo, YuRu Lin, Yuheng Hu |
|
| 231 |
|
Scalable Learning of Graphical Models |
|
0 |
|
François Petitjean, Geoffrey I. Webb |
|
| 232 |
|
Extracting Optimal Performance from Dynamic Time Warping |
|
0 |
|
Abdullah Mueen, Eamonn J. Keogh |
|
| 233 |
|
Leveraging Propagation for Data Mining: Models, Algorithms and Applications |
|
0 |
|
B. Aditya Prakash, Naren Ramakrishnan |
|
| 234 |
|
CNTK: Microsoft's Open-Source Deep-Learning Toolkit |
|
0 |
|
Amit Agarwal, Frank Seide |
|
| 235 |
|
Healthcare Data Mining with Matrix Models |
|
0 |
|
Fei Wang, Joel Dudley, Ping Zhang |
|
| 236 |
|
Business Applications of Predictive Modeling at Scale |
|
0 |
|
Paul Ogilvie, Qiang Zhu, Songtao Guo, Yan Liu |
|