| Collaborative Deep Learning for Recommender Systems |
Hao Wang, Naiyan Wang, DitYan Yeung |
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code |
875 |
| Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission |
Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, Noemie Elhadad |
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code |
585 |
| Certifying and Removing Disparate Impact |
Michael Feldman, Sorelle A. Friedler, John Moeller, Carlos Scheidegger, Suresh Venkatasubramanian |
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code |
542 |
| PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks |
Jian Tang, Meng Qu, Qiaozhu Mei |
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code |
434 |
| Deep Graph Kernels |
Pinar Yanardag, S. V. N. Vishwanathan |
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code |
373 |
| Inferring Networks of Substitutable and Complementary Products |
Julian J. McAuley, Rahul Pandey, Jure Leskovec |
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code |
339 |
| Heterogeneous Network Embedding via Deep Architectures |
Shiyu Chang, Wei Han, Jiliang Tang, GuoJun Qi, Charu C. Aggarwal, Thomas S. Huang |
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code |
309 |
| SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity |
Qingyuan Zhao, Murat A. Erdogdu, Hera Y. He, Anand Rajaraman, Jure Leskovec |
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code |
303 |
| Collective Opinion Spam Detection: Bridging Review Networks and Metadata |
Shebuti Rayana, Leman Akoglu |
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code |
251 |
| Generic and Scalable Framework for Automated Time-series Anomaly Detection |
Nikolay Laptev, Saeed Amizadeh, Ian Flint |
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code |
216 |
| Forecasting Fine-Grained Air Quality Based on Big Data |
Yu Zheng, Xiuwen Yi, Ming Li, Ruiyuan Li, Zhangqing Shan, Eric Chang, Tianrui Li |
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code |
194 |
| COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency |
Yutao Zhang, Jie Tang, Zhilin Yang, Jian Pei, Philip S. Yu |
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code |
175 |
| E-commerce in Your Inbox: Product Recommendations at Scale |
Mihajlo Grbovic, Vladan Radosavljevic, Nemanja Djuric, Narayan Bhamidipati, Jaikit Savla, Varun Bhagwan, Doug Sharp |
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code |
153 |
| From Group to Individual Labels Using Deep Features |
Dimitrios Kotzias, Misha Denil, Nando de Freitas, Padhraic Smyth |
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code |
133 |
| Deep Computational Phenotyping |
Zhengping Che, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, Yan Liu |
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code |
124 |
| A Deep Hybrid Model for Weather Forecasting |
Aditya Grover, Ashish Kapoor, Eric Horvitz |
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code |
123 |
| Network Lasso: Clustering and Optimization in Large Graphs |
David Hallac, Jure Leskovec, Stephen P. Boyd |
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code |
120 |
| FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation |
Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han |
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code |
116 |
| Large Scale Distributed Data Science using Apache Spark |
James G. Shanahan, Liang Dai |
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code |
104 |
| Community Detection based on Distance Dynamics |
Junming Shao, Zhichao Han, Qinli Yang, Tao Zhou |
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code |
103 |
| Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation |
Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Wasim Sadiq, Xiaofang Zhou |
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code |
98 |
| Inferring Air Quality for Station Location Recommendation Based on Urban Big Data |
HsunPing Hsieh, ShouDe Lin, Yu Zheng |
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code |
97 |
| Unsupervised Feature Selection with Adaptive Structure Learning |
Liang Du, YiDong Shen |
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code |
97 |
| Differentially Private High-Dimensional Data Publication via Sampling-Based Inference |
Rui Chen, Qian Xiao, Yu Zhang, Jianliang Xu |
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code |
93 |
| Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data |
Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Yong Rui |
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code |
93 |
| From Infrastructure to Culture: A/B Testing Challenges in Large Scale Social Networks |
Ya Xu, Nanyu Chen, Addrian Fernandez, Omar Sinno, Anmol Bhasin |
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code |
89 |
| Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics |
Yichen Wang, Robert Chen, Joydeep Ghosh, Joshua C. Denny, Abel N. Kho, You Chen, Bradley A. Malin, Jimeng Sun |
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code |
88 |
| On the Discovery of Evolving Truth |
Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han |
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code |
87 |
| Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework |
Chuanren Liu, Fei Wang, Jianying Hu, Hui Xiong |
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code |
86 |
| Multi-Task Learning for Spatio-Temporal Event Forecasting |
Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, ChangTien Lu, Naren Ramakrishnan |
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code |
86 |
| TimeCrunch: Interpretable Dynamic Graph Summarization |
Neil Shah, Danai Koutra, Tianmin Zou, Brian Gallagher, Christos Faloutsos |
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code |
84 |
| Efficient Online Evaluation of Big Data Stream Classifiers |
Albert Bifet, Gianmarco De Francisci Morales, Jesse Read, Geoff Holmes, Bernhard Pfahringer |
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code |
82 |
| Online Influence Maximization |
Siyu Lei, Silviu Maniu, Luyi Mo, Reynold Cheng, Pierre Senellart |
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code |
78 |
| On the Reliability of Profile Matching Across Large Online Social Networks |
Oana Goga, Patrick Loiseau, Robin Sommer, Renata Teixeira, Krishna P. Gummadi |
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code |
77 |
| Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams |
Nan Du, Mehrdad Farajtabar, Amr Ahmed, Alexander J. Smola, Le Song |
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code |
77 |
| Transitive Transfer Learning |
Ben Tan, Yangqiu Song, Erheng Zhong, Qiang Yang |
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code |
77 |
| Spectral Ensemble Clustering |
Hongfu Liu, Tongliang Liu, Junjie Wu, Dacheng Tao, Yun Fu |
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code |
76 |
| Visual Search at Pinterest |
Yushi Jing, David C. Liu, Dmitry Kislyuk, Andrew Zhai, Jiajing Xu, Jeff Donahue, Sarah Tavel |
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code |
75 |
| A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes |
Himabindu Lakkaraju, Everaldo Aguiar, Carl Shan, David Miller, Nasir Bhanpuri, Rayid Ghani, Kecia L. Addison |
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code |
70 |
| Scalable Large Near-Clique Detection in Large-Scale Networks via Sampling |
Michael Mitzenmacher, Jakub Pachocki, Richard Peng, Charalampos E. Tsourakakis, Shen Chen Xu |
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code |
65 |
| Focusing on the Long-term: It's Good for Users and Business |
Henning Hohnhold, Deirdre O'Brien, Diane Tang |
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code |
64 |
| A Collective Bayesian Poisson Factorization Model for Cold-start Local Event Recommendation |
Wei Zhang, Jianyong Wang |
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code |
62 |
| Dynamic Matrix Factorization with Priors on Unknown Values |
Robin Devooght, Nicolas Kourtellis, Amin Mantrach |
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code |
61 |
| Click-through Prediction for Advertising in Twitter Timeline |
Cheng Li, Yue Lu, Qiaozhu Mei, Dong Wang, Sandeep Pandey |
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code |
58 |
| MASCOT: Memory-efficient and Accurate Sampling for Counting Local Triangles in Graph Streams |
Yongsub Lim, U Kang |
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code |
56 |
| Modeling User Mobility for Location Promotion in Location-based Social Networks |
WenYuan Zhu, WenChih Peng, LingJyh Chen, Kai Zheng, Xiaofang Zhou |
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code |
55 |
| Estimating Local Intrinsic Dimensionality |
Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Kenichi Kawarabayashi, Michael Nett |
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code |
54 |
| VEWS: A Wikipedia Vandal Early Warning System |
Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian |
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code |
54 |
| Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems |
Feng Yan, Olatunji Ruwase, Yuxiong He, Trishul M. Chilimbi |
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code |
53 |
| Discovery of Meaningful Rules in Time Series |
Mohammad ShokoohiYekta, Yanping Chen, Bilson J. L. Campana, Bing Hu, Jesin Zakaria, Eamonn J. Keogh |
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code |
52 |
| CoupledLP: Link Prediction in Coupled Networks |
Yuxiao Dong, Jing Zhang, Jie Tang, Nitesh V. Chawla, Bai Wang |
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code |
51 |
| Dimensionality Reduction Via Graph Structure Learning |
Qi Mao, Li Wang, Steve Goodison, Yijun Sun |
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code |
51 |
| ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering |
Xiang Ren, Ahmed ElKishky, Chi Wang, Fangbo Tao, Clare R. Voss, Jiawei Han |
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code |
51 |
| Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis |
Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji |
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code |
49 |
| Collective Spammer Detection in Evolving Multi-Relational Social Networks |
Shobeir Fakhraei, James R. Foulds, Madhusudana V. S. Shashanka, Lise Getoor |
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code |
49 |
| Predicting Winning Price in Real Time Bidding with Censored Data |
Wush ChiHsuan Wu, MiYen Yeh, MingSyan Chen |
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code |
48 |
| Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy |
Nurjahan Begum, Liudmila Ulanova, Jun Wang, Eamonn J. Keogh |
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code |
48 |
| Petuum: A New Platform for Distributed Machine Learning on Big Data |
Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu |
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code |
46 |
| Locally Densest Subgraph Discovery |
Lu Qin, RongHua Li, Lijun Chang, Chengqi Zhang |
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code |
46 |
| A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams |
Abdulhakim Ali Qahtan, Basma Alharbi, Suojin Wang, Xiangliang Zhang |
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code |
43 |
| User Conditional Hashtag Prediction for Images |
Emily Denton, Jason Weston, Manohar Paluri, Lubomir D. Bourdev, Rob Fergus |
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code |
43 |
| Dynamically Modeling Patient's Health State from Electronic Medical Records: A Time Series Approach |
Karla L. Caballero Barajas, Ram Akella |
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code |
42 |
| Machine Learning and Causal Inference for Policy Evaluation |
Susan Athey |
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code |
41 |
| Optimal Action Extraction for Random Forests and Boosted Trees |
Zhicheng Cui, Wenlin Chen, Yujie He, Yixin Chen |
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code |
40 |
| Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization |
Hannah Kim, Jaegul Choo, Jingu Kim, Chandan K. Reddy, Haesun Park |
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code |
39 |
| Real Estate Ranking via Mixed Land-use Latent Models |
Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu |
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code |
38 |
| Efficient PageRank Tracking in Evolving Networks |
Naoto Ohsaka, Takanori Maehara, Kenichi Kawarabayashi |
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code |
37 |
| RSC: Mining and Modeling Temporal Activity in Social Media |
Alceu Ferraz Costa, Yuto Yamaguchi, Agma Juci Machado Traina, Caetano Traina Jr., Christos Faloutsos |
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code |
37 |
| A Learning-based Framework to Handle Multi-round Multi-party Influence Maximization on Social Networks |
SuChen Lin, ShouDe Lin, MingSyan Chen |
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code |
36 |
| Flexible and Robust Multi-Network Clustering |
Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang |
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code |
35 |
| Modeling Truth Existence in Truth Discovery |
Shi Zhi, Bo Zhao, Wenzhu Tong, Jing Gao, Dian Yu, Heng Ji, Jiawei Han |
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code |
35 |
| Subspace Clustering Using Log-determinant Rank Approximation |
Chong Peng, Zhao Kang, Huiqing Li, Qiang Cheng |
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code |
34 |
| Influence at Scale: Distributed Computation of Complex Contagion in Networks |
Brendan Lucier, Joel Oren, Yaron Singer |
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code |
33 |
| Smart Pacing for Effective Online Ad Campaign Optimization |
Jian Xu, Kuangchih Lee, Wentong Li, Hang Qi, Quan Lu |
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code |
31 |
| A Clustering-Based Framework to Control Block Sizes for Entity Resolution |
Jeffrey Fisher, Peter Christen, Qing Wang, Erhard Rahm |
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code |
31 |
| TOPTRAC: Topical Trajectory Pattern Mining |
Younghoon Kim, Jiawei Han, Cangzhou Yuan |
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code |
31 |
| Learning a Hierarchical Monitoring System for Detecting and Diagnosing Service Issues |
Vinod Nair, Ameya Raul, Shwetabh Khanduja, Vikas Bahirwani, Sundararajan Sellamanickam, S. Sathiya Keerthi, Steve Herbert, Sudheer Dhulipalla |
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code |
31 |
| SCRAM: A Sharing Considered Route Assignment Mechanism for Fair Taxi Route Recommendations |
Shiyou Qian, Jian Cao, Frédéric Le Mouël, Issam Sahel, Minglu Li |
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code |
30 |
| 0-Bit Consistent Weighted Sampling |
Ping Li |
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code |
30 |
| Facets: Fast Comprehensive Mining of Coevolving High-order Time Series |
Yongjie Cai, Hanghang Tong, Wei Fan, Ping Ji, Qing He |
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code |
30 |
| Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts |
Aaron Schein, John W. Paisley, David M. Blei, Hanna M. Wallach |
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code |
30 |
| Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC |
Sungjin Ahn, Anoop Korattikara, Nathan Liu, Suju Rajan, Max Welling |
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code |
29 |
| A Decision Tree Framework for Spatiotemporal Sequence Prediction |
Taehwan Kim, Yisong Yue, Sarah L. Taylor, Iain A. Matthews |
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code |
29 |
| Data-Driven Activity Prediction: Algorithms, Evaluation Methodology, and Applications |
Bryan David Minor, Janardhan Rao Doppa, Diane J. Cook |
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code |
29 |
| Diversifying Restricted Boltzmann Machine for Document Modeling |
Pengtao Xie, Yuntian Deng, Eric P. Xing |
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code |
29 |
| Learning Tree Structure in Multi-Task Learning |
Lei Han, Yu Zhang |
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code |
28 |
| Leveraging Social Context for Modeling Topic Evolution |
Janani Kalyanam, Amin Mantrach, Diego SáezTrumper, Hossein Vahabi, Gert R. G. Lanckriet |
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code |
28 |
| When-To-Post on Social Networks |
Nemanja Spasojevic, Zhisheng Li, Adithya Rao, Prantik Bhattacharyya |
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code |
28 |
| Efficient Latent Link Recommendation in Signed Networks |
Dongjin Song, David A. Meyer, Dacheng Tao |
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code |
27 |
| Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data |
Hao Zhang, Gunhee Kim, Eric P. Xing |
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code |
27 |
| Accelerated Alternating Direction Method of Multipliers |
Mojtaba Kadkhodaie, Konstantina Christakopoulou, Maziar Sanjabi, Arindam Banerjee |
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code |
27 |
| Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing |
Felipe LlinaresLópez, Mahito Sugiyama, Laetitia Papaxanthos, Karsten M. Borgwardt |
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code |
27 |
| Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks |
Chenguang Wang, Yangqiu Song, Ahmed ElKishky, Dan Roth, Ming Zhang, Jiawei Han |
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code |
27 |
| Promoting Positive Post-Click Experience for In-Stream Yahoo Gemini Users |
Mounia Lalmas, Janette Lehmann, Guy Shaked, Fabrizio Silvestri, Gabriele Tolomei |
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code |
26 |
| Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs |
Ethan R. Elenberg, Karthikeyan Shanmugam, Michael Borokhovich, Alexandros G. Dimakis |
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code |
26 |
| Turn Waste into Wealth: On Simultaneous Clustering and Cleaning over Dirty Data |
Shaoxu Song, Chunping Li, Xiaoquan Zhang |
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code |
26 |
| Edge-Weighted Personalized PageRank: Breaking A Decade-Old Performance Barrier |
Wenlei Xie, David Bindel, Alan J. Demers, Johannes Gehrke |
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code |
25 |
| Panther: Fast Top-k Similarity Search on Large Networks |
Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li |
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code |
25 |
| Mining Frequent Itemsets through Progressive Sampling with Rademacher Averages |
Matteo Riondato, Eli Upfal |
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code |
25 |
| TimeMachine: Timeline Generation for Knowledge-Base Entities |
Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang |
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code |
25 |
| Fast and Robust Parallel SGD Matrix Factorization |
Jinoh Oh, WookShin Han, Hwanjo Yu, Xiaoqian Jiang |
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code |
25 |
| Simultaneous Modeling of Multiple Diseases for Mortality Prediction in Acute Hospital Care |
Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Hiroshi Ikai, Yuichi Imanaka |
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code |
25 |
| Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications |
Qing Wang, Hengshu Zhu, Wei Hu, Zhiyong Shen, Yuan Yao |
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code |
25 |
| Query Workloads for Data Series Indexes |
Kostas Zoumpatianos, Yin Lou, Themis Palpanas, Johannes Gehrke |
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code |
24 |
| Graph Query Reformulation with Diversity |
Davide Mottin, Francesco Bonchi, Francesco Gullo |
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code |
23 |
| Early Prediction of Cardiac Arrest (Code Blue) using Electronic Medical Records |
Sriram Somanchi, Samrachana Adhikari, Allen Lin, Elena Eneva, Rayid Ghani |
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code |
23 |
| Organizational Chart Inference |
Jiawei Zhang, Philip S. Yu, Yuanhua Lv |
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code |
23 |
| Selective Hashing: Closing the Gap between Radius Search and k-NN Search |
Jinyang Gao, H. V. Jagadish, Beng Chin Ooi, Sheng Wang |
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code |
22 |
| Integrating Vertex-centric Clustering with Edge-centric Clustering for Meta Path Graph Analysis |
Yang Zhou, Ling Liu, David Buttler |
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code |
22 |
| Dynamic Hierarchical Classification for Patient Risk-of-Readmission |
Senjuti Basu Roy, Ankur Teredesai, Kiyana Zolfaghar, Rui Liu, David Hazel, Stacey Newman, Albert Marinez |
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code |
22 |
| Voltage Correlations in Smart Meter Data |
Rajendu Mitra, Ramachandra Kota, Sambaran Bandyopadhyay, Vijay Arya, Brian Sullivan, Richard Mueller, Heather Storey, Gerard Labut |
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code |
22 |
| FrauDetector: A Graph-Mining-based Framework for Fraudulent Phone Call Detection |
Vincent S. Tseng, JiaChing Ying, CheWei Huang, Yimin Kao, KuanTa Chen |
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code |
22 |
| Inside Jokes: Identifying Humorous Cartoon Captions |
Dafna Shahaf, Eric Horvitz, Robert Mankoff |
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code |
21 |
| Statistical Arbitrage Mining for Display Advertising |
Weinan Zhang, Jun Wang |
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code |
21 |
| Predicting Ambulance Demand: a Spatio-Temporal Kernel Approach |
Zhengyi Zhou, David S. Matteson |
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code |
21 |
| Life-stage Prediction for Product Recommendation in E-commerce |
Peng Jiang, Yadong Zhu, Yi Zhang, Quan Yuan |
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code |
20 |
| Entity Matching across Heterogeneous Sources |
Yang Yang, Yizhou Sun, Jie Tang, Bo Ma, JuanZi Li |
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code |
20 |
| Online Outlier Exploration Over Large Datasets |
Lei Cao, Mingrui Wei, Di Yang, Elke A. Rundensteiner |
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code |
20 |
| Trading Interpretability for Accuracy: Oblique Treed Sparse Additive Models |
Jialei Wang, Ryohei Fujimaki, Yosuke Motohashi |
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code |
20 |
| Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction |
Zheng Wang, Prithwish Chakraborty, Sumiko R. Mekaru, John S. Brownstein, Jieping Ye, Naren Ramakrishnan |
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code |
20 |
| Web Personalization and Recommender Systems |
Shlomo Berkovsky, Jill Freyne |
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code |
19 |
| Personalizing LinkedIn Feed |
Deepak Agarwal, BeeChung Chen, Qi He, Zhenhao Hua, Guy Lebanon, Yiming Ma, Pannagadatta Shivaswamy, HsiaoPing Tseng, Jaewon Yang, Liang Zhang |
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code |
19 |
| Utilizing Text Mining on Online Medical Forums to Predict Label Change due to Adverse Drug Reactions |
Ronen Feldman, Oded Netzer, Aviv Peretz, Binyamin Rosenfeld |
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code |
19 |
| Online Topic-based Social Influence Analysis for the Wimbledon Championships |
Varun R. Embar, Indrajit Bhattacharya, Vinayaka Pandit, Roman Vaculín |
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code |
18 |
| Efficient Algorithms for Public-Private Social Networks |
Flavio Chierichetti, Alessandro Epasto, Ravi Kumar, Silvio Lattanzi, Vahab S. Mirrokni |
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code |
18 |
| Scaling Up Stochastic Dual Coordinate Ascent |
Kenneth Tran, Saghar Hosseini, Lin Xiao, Thomas Finley, Mikhail Bilenko |
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code |
18 |
| Exploiting Relevance Feedback in Knowledge Graph Search |
Yu Su, Shengqi Yang, Huan Sun, Mudhakar Srivatsa, Sue Kase, Michelle Vanni, Xifeng Yan |
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code |
17 |
| Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails |
Weinan Zhang, Amr Ahmed, Jie Yang, Vanja Josifovski, Alexander J. Smola |
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code |
17 |
| Probabilistic Community and Role Model for Social Networks |
Yu Han, Jie Tang |
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code |
17 |
| Maximum Likelihood Postprocessing for Differential Privacy under Consistency Constraints |
Jaewoo Lee, Yue Wang, Daniel Kifer |
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code |
17 |
| The Child is Father of the Man: Foresee the Success at the Early Stage |
Liangyue Li, Hanghang Tong |
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code |
17 |
| Assembler: Efficient Discovery of Spatial Co-evolving Patterns in Massive Geo-sensory Data |
Chao Zhang, Yu Zheng, Xiuli Ma, Jiawei Han |
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code |
17 |
| Predicting Future Scientific Discoveries Based on a Networked Analysis of the Past Literature |
Meenakshi Nagarajan, Angela D. Wilkins, Benjamin J. Bachman, Ilya B. Novikov, Shenghua Bao, Peter J. Haas, María E. TerrónDíaz, Sumit Bhatia, Anbu K. Adikesavan, Jacques J. Labrie, Sam Regenbogen, Christie M. Buchovecky, Curtis R. Pickering, Linda Kato, Andreas Martin Lisewski, Ana Lelescu, Houyin Zhang, Stephen Boyer, Griff Weber, Ying Chen, Lawrence A. Donehower, W. Scott Spangler, Olivier Lichtarge |
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code |
17 |
| Graph-Based User Behavior Modeling: From Prediction to Fraud Detection |
Alex Beutel, Leman Akoglu, Christos Faloutsos |
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code |
16 |
| Improved Bounds on the Dot Product under Random Projection and Random Sign Projection |
Ata Kabán |
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code |
16 |
| An Evaluation of Parallel Eccentricity Estimation Algorithms on Undirected Real-World Graphs |
Julian Shun |
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code |
16 |
| ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments |
Josep Lluis Berral, Nicolás Poggi, David Carrera, Aaron Call, Rob Reinauer, Daron Green |
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code |
16 |
| Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning |
Eric Potash, Joe Brew, Alexander Loewi, Subhabrata Majumdar, Andrew Reece, Joe Walsh, Eric Rozier, Emile Jorgenson, Raed Mansour, Rayid Ghani |
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code |
16 |
| Predicting Serves in Tennis using Style Priors |
Xinyu Wei, Patrick Lucey, Stuart Morgan, Peter Carr, Machar Reid, Sridha Sridharan |
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code |
16 |
| Using Local Spectral Methods to Robustify Graph-Based Learning Algorithms |
David F. Gleich, Michael W. Mahoney |
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code |
15 |
| Non-transitive Hashing with Latent Similarity Components |
Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu |
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code |
15 |
| SAME but Different: Fast and High Quality Gibbs Parameter Estimation |
Huasha Zhao, Biye Jiang, John F. Canny, Bobby Jaros |
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code |
15 |
| Adaptive Message Update for Fast Affinity Propagation |
Yasuhiro Fujiwara, Makoto Nakatsuji, Hiroaki Shiokawa, Yasutoshi Ida, Machiko Toyoda |
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code |
15 |
| Structural Graphical Lasso for Learning Mouse Brain Connectivity |
Sen Yang, Qian Sun, Shuiwang Ji, Peter Wonka, Ian Davidson, Jieping Ye |
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code |
15 |
| Effective Audience Extension in Online Advertising |
Jianqiang Shen, Sahin Cem Geyik, Ali Dasdan |
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code |
14 |
| Learning with Similarity Functions on Graphs using Matchings of Geometric Embeddings |
Fredrik D. Johansson, Devdatt P. Dubhashi |
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code |
13 |
| Traffic Measurement and Route Recommendation System for Mass Rapid Transit (MRT) |
Thomas Holleczek, Dang The Anh, Shanyang Yin, Yunye Jin, Spiros Antonatos, Han Leong Goh, Samantha Low, Amy Shi Nash |
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code |
13 |
| Monitoring Least Squares Models of Distributed Streams |
Moshe Gabel, Daniel Keren, Assaf Schuster |
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code |
13 |
| Discovering and Exploiting Deterministic Label Relationships in Multi-Label Learning |
Christina Papagiannopoulou, Grigorios Tsoumakas, Ioannis Tsamardinos |
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code |
13 |
| Measuring Causal Impact of Online Actions via Natural Experiments: Application to Display Advertising |
Daniel N. Hill, Robert Moakler, Alan E. Hubbard, Vadim Tsemekhman, Foster J. Provost, Kiril Tsemekhman |
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code |
13 |
| Matrix Completion with Queries |
Natali Ruchansky, Mark Crovella, Evimaria Terzi |
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code |
13 |
| Portraying Collective Spatial Attention in Twitter |
Émilien Antoine, Adam Jatowt, Shoko Wakamiya, Yukiko Kawai, Toyokazu Akiyama |
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code |
12 |
| An Architecture for Agile Machine Learning in Real-Time Applications |
Johann SchleierSmith |
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code |
12 |
| Model Multiple Heterogeneity via Hierarchical Multi-Latent Space Learning |
Pei Yang, Jingrui He |
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code |
12 |
| Real-Time Top-R Topic Detection on Twitter with Topic Hijack Filtering |
Kohei Hayashi, Takanori Maehara, Masashi Toyoda, Kenichi Kawarabayashi |
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code |
11 |
| Who Supported Obama in 2012?: Ecological Inference through Distribution Regression |
Seth R. Flaxman, YuXiang Wang, Alexander J. Smola |
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code |
11 |
| Instance Weighting for Patient-Specific Risk Stratification Models |
Jen J. Gong, Thoralf M. Sundt, James D. Rawn, John V. Guttag |
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code |
11 |
| Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships From Social Media |
Emre Kiciman, Matthew Richardson |
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code |
11 |
| The Effectiveness of Marketing Strategies in Social Media: Evidence from Promotional Events |
Panagiotis Adamopoulos, Vilma Todri |
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code |
11 |
| Analyzing Invariants in Cyber-Physical Systems using Latent Factor Regression |
Marjan Momtazpour, Jinghe Zhang, Saifur Rahman, Ratnesh K. Sharma, Naren Ramakrishnan |
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code |
11 |
| Building Discriminative User Profiles for Large-scale Content Recommendation |
Erheng Zhong, Nathan Liu, Yue Shi, Suju Rajan |
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code |
10 |
| Whither Social Networks for Web Search? |
Rakesh Agrawal, Behzad Golshan, Evangelos E. Papalexakis |
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code |
10 |
| Probabilistic Modeling of a Sales Funnel to Prioritize Leads |
Brendan Andrew Duncan, Charles Peter Elkan |
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code |
10 |
| Stream Sampling for Frequency Cap Statistics |
Edith Cohen |
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code |
10 |
| L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data |
Yan Zheng, Jeff M. Phillips |
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code |
10 |
| Scalable Machine Learning Approaches for Neighborhood Classification Using Very High Resolution Remote Sensing Imagery |
Manu Sethi, Yupeng Yan, Anand Rangarajan, Ranga Raju Vatsavai, Sanjay Ranka |
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code |
10 |
| Warm Start for Parameter Selection of Linear Classifiers |
BoYu Chu, ChiaHua Ho, ChengHao Tsai, ChiehYen Lin, ChihJen Lin |
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code |
10 |
| Multi-View Incident Ticket Clustering for Optimal Ticket Dispatching |
Mirela Madalina Botezatu, Jasmina Bogojeska, Ioana Giurgiu, Hagen Völzer, Dorothea Wiesmann |
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code |
10 |
| Online Controlled Experiments: Lessons from Running A/B/n Tests for 12 Years |
Ron Kohavi |
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code |
9 |
| Gender and Interest Targeting for Sponsored Post Advertising at Tumblr |
Mihajlo Grbovic, Vladan Radosavljevic, Nemanja Djuric, Narayan Bhamidipati, Ananth Nagarajan |
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code |
9 |
| On the Formation of Circles in Co-authorship Networks |
Tanmoy Chakraborty, Sikhar Patranabis, Pawan Goyal, Animesh Mukherjee |
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code |
9 |
| Reciprocity in Social Networks with Capacity Constraints |
Bo Jiang, ZhiLi Zhang, Don Towsley |
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code |
9 |
| Scalable Blocking for Privacy Preserving Record Linkage |
Alexandros Karakasidis, Georgia Koloniari, Vassilios S. Verykios |
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code |
9 |
| Cinema Data Mining: The Smell of Fear |
Jörg Wicker, Nicolas Krauter, Bettina Derstorff, Christof Stönner, Efstratios Bourtsoukidis, Thomas Klüpfel, Jonathan Williams, Stefan Kramer |
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code |
9 |
| Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction |
Tingyang Xu, Jiangwen Sun, Jinbo Bi |
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code |
9 |
| Mining for Causal Relationships: A Data-Driven Study of the Islamic State |
Andrew Stanton, Amanda Thart, Ashish Jain, Priyank Vyas, Arpan Chatterjee, Paulo Shakarian |
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code |
9 |
| Stock Constrained Recommendation in Tmall |
Wenliang Zhong, Rong Jin, Cheng Yang, Xiaowei Yan, Qi Zhang, Qiang Li |
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code |
8 |
| Reducing the Unlabeled Sample Complexity of Semi-Supervised Multi-View Learning |
Chao Lan, Jun Huan |
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code |
8 |
| Discovering Valuable items from Massive Data |
Hastagiri P. Vanchinathan, Andreas Marfurt, CharlesAntoine Robelin, Donald Kossmann, Andreas Krause |
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code |
8 |
| Debiasing Crowdsourced Batches |
Honglei Zhuang, Aditya G. Parameswaran, Dan Roth, Jiawei Han |
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code |
8 |
| LINKAGE: An Approach for Comprehensive Risk Prediction for Care Management |
Zhaonan Sun, Fei Wang, Jianying Hu |
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code |
8 |
| Early Identification of Violent Criminal Gang Members |
Elham Shaabani, Ashkan Aleali, Paulo Shakarian, John Bertetto |
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code |
8 |
| Transfer Learning for Bilingual Content Classification |
Qian Sun, Mohammad Shafkat Amin, Baoshi Yan, Craig Martell, Vita Markman, Anmol Bhasin, Jieping Ye |
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code |
8 |
| One-Pass Ranking Models for Low-Latency Product Recommendations |
Antonino Freno, Martin Saveski, Rodolphe Jenatton, Cédric Archambeau |
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code |
7 |
| Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming |
Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon |
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code |
7 |
| An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints |
Jinfeng Yi, Lijun Zhang, Tianbao Yang, Wei Liu, Jun Wang |
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code |
7 |
| Efficient Long-Term Degradation Profiling in Time Series for Complex Physical Systems |
Liudmila Ulanova, Tan Yan, Haifeng Chen, Guofei Jiang, Eamonn J. Keogh, Kai Zhang |
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code |
7 |
| Deep Learning Architecture with Dynamically Programmed Layers for Brain Connectome Prediction |
Vivek Veeriah, Rohit Durvasula, GuoJun Qi |
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code |
7 |
| Extreme States Distribution Decomposition Method for Search Engine Online Evaluation |
Kirill Nikolaev, Alexey Drutsa, Ekaterina Gladkikh, Alexander Ulianov, Gleb Gusev, Pavel Serdyukov |
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code |
6 |
| BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification |
Shayok Chakraborty, Vineeth Nallure Balasubramanian, Adepu Ravi Sankar, Sethuraman Panchanathan, Jieping Ye |
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code |
6 |
| More Constraints, Smaller Coresets: Constrained Matrix Approximation of Sparse Big Data |
Dan Feldman, Tamir Tassa |
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code |
6 |
| Real Time Recommendations from Connoisseurs |
Noriaki Kawamae |
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code |
6 |
| Robust Treecode Approximation for Kernel Machines |
William B. March, Bo Xiao, Sameer Tharakan, Chenhan D. Yu, George Biros |
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code |
6 |
| Adaptation Algorithm and Theory Based on Generalized Discrepancy |
Corinna Cortes, Mehryar Mohri, Andres Muñoz Medina |
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code |
6 |
| Quick Sensitivity Analysis for Incremental Data Modification and Its Application to Leave-one-out CV in Linear Classification Problems |
Shota Okumura, Yoshiki Suzuki, Ichiro Takeuchi |
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code |
6 |
| Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events |
Yu Rong, Hong Cheng, Zhiyu Mo |
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code |
6 |
| Set Cover at Web Scale |
Stergios Stergiou, Kostas Tsioutsiouliklis |
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code |
6 |
| Probabilistic Graphical Models of Dyslexia |
Yair Lakretz, Gal Chechik, Naama Friedmann, Michal RosenZvi |
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code |
6 |
| Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering |
Shigeru Maya, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi |
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code |
6 |
| Tornado Forecasting with Multiple Markov Boundaries |
Kui Yu, Dawei Wang, Wei Ding, Jian Pei, David L. Small, Shafiqul Islam, Xindong Wu |
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code |
6 |
| Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data |
Kai Fan, Marisa C. Eisenberg, Alison Walsh, Allison Aiello, Katherine A. Heller |
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code |
5 |
| Stochastic Divergence Minimization for Online Collapsed Variational Bayes Zero Inference of Latent Dirichlet Allocation |
Issei Sato, Hiroshi Nakagawa |
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code |
5 |
| Real-Time Bid Prediction using Thompson Sampling-Based Expert Selection |
Elena Ikonomovska, Sina Jafarpour, Ali Dasdan |
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code |
5 |
| Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation |
ChiaTung Kuo, Xiang Wang, Peter B. Walker, Owen T. Carmichael, Jieping Ye, Ian Davidson |
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code |
5 |
| State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness |
GuoJun Qi, Charu C. Aggarwal, Deepak S. Turaga, Daby M. Sow, Phil Anno |
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code |
5 |
| Client Clustering for Hiring Modeling in Work Marketplaces |
Vasilis Verroios, Panagiotis Papadimitriou, Ramesh Johari, Hector GarciaMolina |
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code |
5 |
| Social Media Anomaly Detection: Challenges and Solutions |
Yan Liu, Sanjay Chawla |
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code |
5 |
| Algorithmic Cartography: Placing Points of Interest and Ads on Maps |
Mohammad Mahdian, Okke Schrijvers, Sergei Vassilvitskii |
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code |
4 |
| Interpreting Advertiser Intent in Sponsored Search |
Bhanu Chandra Vattikonda, Santhosh Kodipaka, Hongyan Zhou, Vacha Dave, Saikat Guha, Alex C. Snoeren |
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code |
4 |
| Discovering Collective Narratives of Theme Parks from Large Collections of Visitors' Photo Streams |
Gunhee Kim, Leonid Sigal |
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code |
4 |
| Leveraging Knowledge Bases for Contextual Entity Exploration |
Joonseok Lee, Ariel Fuxman, Bo Zhao, Yuanhua Lv |
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code |
4 |
| Spoken English Grading: Machine Learning with Crowd Intelligence |
Vinay Shashidhar, Nishant Pandey, Varun Aggarwal |
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code |
4 |
| MOOCS: What Have We Learned? |
Daphne Koller |
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code |
4 |
| An Effective Marketing Strategy for Revenue Maximization with a Quantity Constraint |
YaWen Teng, ChihHua Tai, Philip S. Yu, MingSyan Chen |
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code |
4 |
| Towards Interactive Construction of Topical Hierarchy: A Recursive Tensor Decomposition Approach |
Chi Wang, Xueqing Liu, Yanglei Song, Jiawei Han |
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code |
4 |
| Co-Clustering based Dual Prediction for Cargo Pricing Optimization |
Yada Zhu, Hongxia Yang, Jingrui He |
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code |
4 |
| Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries |
Yukino Baba, Hisashi Kashima, Yasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, Rafiqul Islam Maruf, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima |
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code |
4 |
| Big Data System for Analyzing Risky Procurement Entities |
Amit Dhurandhar, Bruce Graves, Rajesh Kumar Ravi, Gopikrishnan Maniachari, Markus Ettl |
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code |
4 |
| Mining Administrative Data to Spur Urban Revitalization |
Ben Green, Alejandra Caro, Matthew Conway, Robert Manduca, Tom Plagge, Abby Miller |
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code |
4 |
| Diffusion in Social and Information Networks: Research Problems, Probabilistic Models and Machine Learning Methods |
Manuel GomezRodriguez, Le Song |
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code |
3 |
| Linear Time Samplers for Supervised Topic Models using Compositional Proposals |
Xun Zheng, Yaoliang Yu, Eric P. Xing |
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code |
3 |
| Website Optimization Problem and Its Solutions |
Shuhei Iitsuka, Yutaka Matsuo |
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code |
3 |
| Distributed Personalization |
Xu Miao, ChunTe Chu, Lijun Tang, Yitong Zhou, Joel Young, Anmol Bhasin |
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code |
2 |
| Data, Knowledge and Discovery: Machine Learning meets Natural Science |
Hugh F. DurrantWhyte |
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code |
2 |
| On Estimating the Swapping Rate for Categorical Data |
Daniel Kifer |
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code |
2 |
| Proof Protocol for a Machine Learning Technique Making Longitudinal Predictions in Dynamic Contexts |
Kevin B. Pratt |
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code |
2 |
| Data-Driven Product Innovation |
Xin Fu, Hernán Asorey |
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code |
2 |
| VC-Dimension and Rademacher Averages: From Statistical Learning Theory to Sampling Algorithms |
Matteo Riondato, Eli Upfal |
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code |
2 |
| Structured Hedging for Resource Allocations with Leverage |
Nicholas Johnson, Arindam Banerjee |
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code |
2 |
| Should You Trust Your Money to a Robot? |
Vasant Dhar |
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code |
2 |
| Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach |
Xiang Ren, Ahmed ElKishky, Chi Wang, Jiawei Han |
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code |
2 |
| Scaling Machine Learning and Statistics for Web Applications |
Deepak Agarwal |
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code |
1 |
| Virus Propagation in Multiple Profile Networks |
Angeliki Rapti, Spyros Sioutas, Kostas Tsichlas, Giannis Tzimas |
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code |
1 |
| Cuckoo Linear Algebra |
Li Zhou, David G. Andersen, Mu Li, Alexander J. Smola |
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code |
1 |
| Optimizing Marketing Impact through Data Driven Decisioning |
Anil Kamath |
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code |
1 |
| Data Science from the Lab to the Field to the Enterprise |
Christopher White |
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code |
1 |
| Exploiting Data Mining for Authenticity Assessment and Protection of High-Quality Italian Wines from Piedmont |
Marco Arlorio, Jean Daniel Coïsson, Giorgio Leonardi, Monica Locatelli, Luigi Portinale |
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code |
1 |
| Predicting Voice Elicited Emotions |
Ying Li, Jose D. Contreras, Luis J. Salazar |
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code |
1 |
| Medical Mining: KDD 2015 Tutorial |
Myra Spiliopoulou, Pedro Pereira Rodrigues, Ernestina Menasalvas Ruiz |
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code |
1 |
| Big Data Analytics: Optimization and Randomization |
Tianbao Yang, Qihang Lin, Rong Jin |
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code |
1 |
| Optimal Kernel Group Transformation for Exploratory Regression Analysis and Graphics |
Pan Chao, Qiming Huang, Michael Zhu |
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code |
0 |
| User Modeling in Telecommunications and Internet Industry |
Qiang Yang |
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code |
0 |
| Reconstructing Textual Documents from n-grams |
Matthias Gallé, Matías Tealdi |
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code |
0 |
| Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning |
Hongchang Gao, Lin Yan, Weidong Cai, Heng Huang |
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code |
0 |
| Hadoop's Impact on the Future of Data Management |
Amr Awadallah |
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code |
0 |
| Data Science at Visa |
Waqar Hasan, Min Wang |
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code |
0 |
| How Artificial Intelligence and Big Data Created Rocket Fuel: A Case Study |
George John |
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code |
0 |
| Powering Real-time Decision Engines in Finance and Healthcare using Open Source Software |
Bassel Ojjeh |
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code |
0 |
| Clouded Intelligence |
Joseph Sirosh |
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code |
0 |
| Going In-Depth: Finding Longform on the Web |
Virginia Smith, Miriam Connor, Isabelle Stanton |
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code |
0 |
| Gas Concentration Reconstruction for Coal-Fired Boilers Using Gaussian Process |
Chao Yuan, Matthias Behmann, Bernhard Meerbeck |
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code |
0 |
| Data Driven Science: SIGKDD Panel |
Katharina Morik, Hugh F. DurrantWhyte, Gary C. Hill, Dietmar Müller, Tanya Y. BergerWolf |
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code |
0 |