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Publication search results
found 86 matches
- 2021
- Kunpeng Liu, Haibo Huang, Wei Zhang, Ahmad Hariri, Yanjie Fu, Kien A. Hua:
Multi-Armed Bandit Based Feature Selection. SDM 2021: 316-323 - Tomoya Sakai, Naoto Ohsaka:
Predictive Optimization with Zero-Shot Domain Adaptation. SDM 2021: 369-377 - Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao:
Disentangled Dynamic Graph Deep Generation. SDM 2021: 738-746 - Lu Jiang, Pengyang Wang, Ke Cheng, Kunpeng Liu, Minghao Yin, Bo Jin, Yanjie Fu:
EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling. SDM 2021: 567-575 - Qi Zhu, Fang Guo, Jingjing Tian, Yuning Mao, Jiawei Han:
SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization. SDM 2021: 477-485 - Min Liu, Zhaohui Peng, Xiaohui Yu, Senzhang Wang, Qiao Song:
LDFeRR: A Fuel-efficient Route Recommendation Approach for Long-distance Driving Based on Historical Trajectories. SDM 2021: 73-81 - Charu C. Aggarwal, Yao Li, Philip S. Yu:
Signature-Based Anomaly Detection in Networks. SDM 2021: 109-117 - Federico Altieri, Andrea Pietracaprina, Geppino Pucci, Fabio Vandin:
Scalable Distributed Approximation of Internal Measures for Clustering Evaluation. SDM 2021: 648-656 - Guoyuan An, Sung Eui Yoon, Jae Yoon Kim, Lin Wang, Myoung Ho Kim:
GraphShop: Graph-based Approach for Shop-type Recommendation. SDM 2021: 55-63 - Omer Anjum, Mohammad Almasri, Jinjun Xiong, Wen-Mei W. Hwu:
PhraseScope: An Effective and Unsupervised Framework for Mining High Quality Phrases. SDM 2021: 639-647 - Bonny Banerjee, Masoumeh Heidari Kapourchali, Murchana Baruah, Mousumi Deb, Kenneth Sakauye, Mette S. Olufsen:
Synthesizing Skeletal Motion and Physiological Signals as a Function of a Virtual Human's Actions and Emotions. SDM 2021: 684-692 - Fabian Berns, Christian Beecks:
Stochastic Time Series Representation for Interval Pattern Mining via Gaussian Processes. SDM 2021: 10-18 - Fabian Berns, Christian Beecks:
Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data. SDM 2021: 360-368 - Mario Boley, Simon Teshuva, Pierre Le Bodic, Geoffrey I. Webb:
Better Short than Greedy: Interpretable Models through Optimal Rule Boosting. SDM 2021: 351-359 - Jie Bu, Anuj Karpatne:
Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs. SDM 2021: 675-683 - Kailash Budhathoki, Mario Boley, Jilles Vreeken:
Discovering Reliable Causal Rules. SDM 2021: 1-9 - Xin Dai, Xiangnan Kong, Tian Guo, Yixian Huang:
CiNet: Redesigning Deep Neural Networks for Efficient Mobile-Cloud Collaborative Inference. SDM 2021: 459-467 - Laurens Devos, Wannes Meert, Jesse Davis:
Verifying Tree Ensembles by Reasoning about Potential Instances. SDM 2021: 450-458 - Hu Ding, Tan Chen, Fan Yang, Mingyue Wang:
A Data-Dependent Algorithm for Querying Earth Mover's Distance with Low Doubling Dimensions. SDM 2021: 630-638 - Dimitrios I. Diochnos, Theodore B. Trafalis:
Learning Reliable Rules under Class Imbalance. SDM 2021: 28-36 - Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong:
Fairness-aware Agnostic Federated Learning. SDM 2021: 181-189 - N. Benjamin Erichson, Dane Taylor, Qixuan Wu, Michael W. Mahoney:
Noise-Response Analysis of Deep Neural Networks Quantifies Robustness and Fingerprints Structural Malware. SDM 2021: 100-108 - Wei Fan, Kunpeng Liu, Hao Liu, Ahmad Hariri, Dejing Dou, Yanjie Fu:
AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning. SDM 2021: 342-350 - Hongchang Gao, Heng Huang:
Faster Stochastic Second Order Method for Large-Scale Machine Learning Models. SDM 2021: 405-413 - Hongchang Gao, Gang Wu, Ryan A. Rossi:
Provable Distributed Stochastic Gradient Descent with Delayed Updates. SDM 2021: 441-449 - Alexander van der Grinten, Eugenio Angriman, Maria Predari, Henning Meyerhenke:
New Approximation Algorithms for Forest Closeness Centrality - for Individual Vertices and Vertex Groups. SDM 2021: 136-144 - Kathrin Grosse, Michael Backes:
Do winning tickets exist before DNN training? SDM 2021: 549-557 - Christopher Hagedorn, Johannes Huegle:
GPU-Accelerated Constraint-Based Causal Structure Learning for Discrete Data. SDM 2021: 37-45 - Jiayu He, Matloob Khushi, Nguyen Hoang Tran, Tongliang Liu:
Robust Dual Recurrent Neural Networks for Financial Time Series Prediction. SDM 2021: 747-755 - Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan:
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. SDM 2021: 253-261
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