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Balanced Distribution Adaptation for Transfer Learning

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.1129-1134

2017

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Visually-Aware Fashion Recommendation and Design with Generative Image Models

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.207-216

2017

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Accelerated Hierarchical Density Based Clustering

2017 IEEE International Conference on Data Mining Workshops (ICDMW), 2017, p.33-42

2017

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Increased burden of inherited IRF3 rare genetic variants in Europeans with severe Non-alcoholic fatty liver diease

JOURNAL OF HEPATOLOGY, 2022, Vol.77, p.S675

2022

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Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.1033-1038

2017

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Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.385-394

2017

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Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.787-792

2017

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Generating Synthetic Time Series to Augment Sparse Datasets

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.865-870

2017

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Topological Recurrent Neural Network for Diffusion Prediction

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.475-484

2017

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Deep and Confident Prediction for Time Series at Uber

2017 IEEE International Conference on Data Mining Workshops (ICDMW), 2017, p.103-110

2017

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A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.395-404

2017

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Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning

2017 IEEE International Conference on Data Mining Workshops (ICDMW), 2017, p.1058-1065

2017

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Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.327-336

2017

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Principled Multilayer Network Embedding

2017 IEEE International Conference on Data Mining Workshops (ICDMW), 2017, p.134-141

2017

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Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.117-126

2017

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AutoLearn - Automated Feature Generation and Selection

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.217-226

2017

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Matrix Profile VI: Meaningful Multidimensional Motif Discovery

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.565-574

2017

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SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.585-594

2017

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Split Miner: Discovering Accurate and Simple Business Process Models from Event Logs

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.1-10

2017

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Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows

2017 IEEE International Conference on Data Mining (ICDM), 2017, Vol.2017, p.913-918

2017

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BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.605-614

2017

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Finding Streams in Knowledge Graphs to Support Fact Checking

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.859-864

2017

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Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.705-714

2017

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DPiSAX: Massively Distributed Partitioned iSAX

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.1135-1140

2017

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GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.465-474

2017

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Balanced Distribution Adaptation for Transfer Learning

Visually-Aware Fashion Recommendation and Design with Generative Image Models

Accelerated Hierarchical Density Based Clustering

Increased burden of inherited IRF3 rare genetic variants in Europeans with severe Non-alcoholic fatty liver diease

Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis

Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning

Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records

Generating Synthetic Time Series to Augment Sparse Datasets

Topological Recurrent Neural Network for Diffusion Prediction

Deep and Confident Prediction for Time Series at Uber

A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks

Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning

Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs

Principled Multilayer Network Embedding

Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels

AutoLearn - Automated Feature Generation and Selection

Matrix Profile VI: Meaningful Multidimensional Motif Discovery

SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction

Split Miner: Discovering Accurate and Simple Business Process Models from Event Logs

Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows

BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder

Finding Streams in Knowledge Graphs to Support Fact Checking

Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery

DPiSAX: Massively Distributed Partitioned iSAX

GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs

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