Канал: KDD2018 video

Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform

Multi-Task Learning with Neural Networks for Voice Query Understanding on an Entertainment Platform

How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary

How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary

Leveraging Meta-path based Context for Top-N Recommendation with A Neural Co-Attention Model

Leveraging Meta-path based Context for Top-N Recommendation with A Neural Co-Attention Model

BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data

BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data

RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization

RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization

A Treatment Engine by Predicting Next-Period Prescriptions

A Treatment Engine by Predicting Next-Period Prescriptions

Towards station-level demand prediction for effective rebalancing in bike-sharing systems

Towards station-level demand prediction for effective rebalancing in bike-sharing systems

Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions

Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions

xStream: Outlier Detection in Feature-Evolving Data Streams

xStream: Outlier Detection in Feature-Evolving Data Streams

A Unified Approach to Quantifying Algorithmic Unfairness

A Unified Approach to Quantifying Algorithmic Unfairness

Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases

Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases

Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property

Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property

Butterfly Counting in Bipartite Networks

Butterfly Counting in Bipartite Networks

Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks

Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks

Opinion Dynamics with Varying Susceptibility to Persuasion

Opinion Dynamics with Varying Susceptibility to Persuasion

Enhancing Predictive Modeling of Nested Spatial Data through Group-Level Feature Disaggregation

Enhancing Predictive Modeling of Nested Spatial Data through Group-Level Feature Disaggregation

PittGrub: A Frustration-Free System to Reduce Food Waste by Notifying Hungry College Students

PittGrub: A Frustration-Free System to Reduce Food Waste by Notifying Hungry College Students

Prediction-time Efficient Classification Using Computational Dependencies in Feature Generation

Prediction-time Efficient Classification Using Computational Dependencies in Feature Generation

NetLSD: Hearing the Shape of a Graph

NetLSD: Hearing the Shape of a Graph

Audience Size Forecasting: Fast and Smart Budget Planning for Media Buyers

Audience Size Forecasting: Fast and Smart Budget Planning for Media Buyers

Active Opinion Maximization in Social Networks

Active Opinion Maximization in Social Networks

TINET: Learning Invariant Networks via Knowledge Transfer

TINET: Learning Invariant Networks via Knowledge Transfer

Adaptive Paywall Mechanism for Digital News Media

Adaptive Paywall Mechanism for Digital News Media

Detection of Paroxysmal Atrial Fibrillation using Attention based Bidirectional Recurrent Neural Net

Detection of Paroxysmal Atrial Fibrillation using Attention based Bidirectional Recurrent Neural Net

Deep Censored Learning of the Winning Price in the Real Time Bidding

Deep Censored Learning of the Winning Price in the Real Time Bidding

Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets

Dynamic Recommendations for Sequential Hiring Decisions in Online Labor Markets

Multi-Pointer Co-Attention Networks for Recommendatio

Multi-Pointer Co-Attention Networks for Recommendatio

Classifying and Counting with Recurrent Contexts

Classifying and Counting with Recurrent Contexts

PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction

PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction

Using RNNs to Analyse Visual Scanning Behaviour to Detect Apathy in Alzheimer Patients

Using RNNs to Analyse Visual Scanning Behaviour to Detect Apathy in Alzheimer Patients

Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba

Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba

TATC: Predicting Alzheimer’s Disease with Actigraphy Data

TATC: Predicting Alzheimer’s Disease with Actigraphy Data

Arbitrary-Order Proximity Preserved Network Embedding

Arbitrary-Order Proximity Preserved Network Embedding

Multimodal Sentiment Analysis To Explore the Structure of Emotions

Multimodal Sentiment Analysis To Explore the Structure of Emotions

TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data

TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data

Safe Triplet Screening for Distance Metric Learning

Safe Triplet Screening for Distance Metric Learning

Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data

Automatic Discovery of Tactics in Spatio-Temporal Soccer Match Data

Large-Scale Order Dispatch in On-Demand Ride-Sharing Platforms: A Learning and Planning Approach

Large-Scale Order Dispatch in On-Demand Ride-Sharing Platforms: A Learning and Planning Approach

Learning Tree based Deep Model for Recommender Systems

Learning Tree based Deep Model for Recommender Systems

Q&R: A Two-Stage Approach Toward Interactive Recommendation

Q&R: A Two-Stage Approach Toward Interactive Recommendation

Active Deep Learning to Tune Down the Noise in Labels

Active Deep Learning to Tune Down the Noise in Labels

Optimization of a SSP’s Header Bidding Strategy using Thompson Sampling

Optimization of a SSP’s Header Bidding Strategy using Thompson Sampling

Predicting Estimated Time of Arrival for Commercial Flights

Predicting Estimated Time of Arrival for Commercial Flights

Accelerated Equivalence Structure Extraction via Pairwise Incremental Search

Accelerated Equivalence Structure Extraction via Pairwise Incremental Search

Count-Min: Optimal Estimation and Tight Error Bounds using Empirical Error Distributions

Count-Min: Optimal Estimation and Tight Error Bounds using Empirical Error Distributions

Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time

Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time

Customized Regression Model for Airbnb Dynamic Pricing

Customized Regression Model for Airbnb Dynamic Pricing

Multi-Cast Attention Networks

Multi-Cast Attention Networks

Corpus Conversion Service: A machine learning platform to ingest documents at scale

Corpus Conversion Service: A machine learning platform to ingest documents at scale

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

Next-item Recommendation via Discriminatively Exploiting User Behaviour

Next-item Recommendation via Discriminatively Exploiting User Behaviour

Finding Similar Exercises with a Unified Semantic Representation

Finding Similar Exercises with a Unified Semantic Representation

Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach

Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach

Dynamic Bike Reposition: A Spatio-Temporal Reinforcement Learning Approach

Dynamic Bike Reposition: A Spatio-Temporal Reinforcement Learning Approach

Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation Systems

Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation Systems

Interpretable New User Clustering and Churn Prediction on a Mobile Social Application

Interpretable New User Clustering and Churn Prediction on a Mobile Social Application

On the Generative Discovery of Structured Medical Knowledge

On the Generative Discovery of Structured Medical Knowledge

Distributed Collaborative Hashing and Its Applications in Ant Financial

Distributed Collaborative Hashing and Its Applications in Ant Financial

Large Scale Learnable Graph Convolutional Networks

Large Scale Learnable Graph Convolutional Networks

You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis

You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis

Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget

Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget

Deep Adversarial Learning for Multi-Modality Missing Data Completion

Deep Adversarial Learning for Multi-Modality Missing Data Completion

Context-aware Academic Collaborator Recommendation

Context-aware Academic Collaborator Recommendation

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data

A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data

A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport

A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport

BagMinHash - Minwise Hashing Algorithm for Weighted Sets

BagMinHash - Minwise Hashing Algorithm for Weighted Sets

Detecting Illegal Vehicle Parking Events using Sharing Bikes’ Trajectories

Detecting Illegal Vehicle Parking Events using Sharing Bikes’ Trajectories

Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs

Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs

FireGuru: A real-time pipeline for spatio-temporal fire risk prediction

FireGuru: A real-time pipeline for spatio-temporal fire risk prediction

Extremely Fast Decision Tree

Extremely Fast Decision Tree

Hyperparameter Importance Across Datasets

Hyperparameter Importance Across Datasets

Network Connectivity Optimization: Fundamental Limits and Effective Algorithms

Network Connectivity Optimization: Fundamental Limits and Effective Algorithms

Deep Interest Network for Click-Through Rate Prediction

Deep Interest Network for Click-Through Rate Prediction

Risk Prediction on Electronic Healthcare Records with Prior Medical Knowledge

Risk Prediction on Electronic Healthcare Records with Prior Medical Knowledge

FASTEN: Fast Sylvester Equation Solver for Graph Mining

FASTEN: Fast Sylvester Equation Solver for Graph Mining

Automated Audience Segmentation Using Reputation Signals

Automated Audience Segmentation Using Reputation Signals

STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation

STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation

Hierarchical Taxonomy Aware Network Embedding

Hierarchical Taxonomy Aware Network Embedding

DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams

DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams

False Discovery Rate Controlled Heterogeneous Treatment Effect Detection

False Discovery Rate Controlled Heterogeneous Treatment Effect Detection

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

Efficient Similar Region Search with Deep Metric Learning

Efficient Similar Region Search with Deep Metric Learning

Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop

Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop

Adversarial Attacks on Neural Networks for Graph Data

Adversarial Attacks on Neural Networks for Graph Data

Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project

Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project

Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories

Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories

Multi-Round Influence Maximization

Multi-Round Influence Maximization

A Dual Markov Chain Topic Model for Dynamic Environments

A Dual Markov Chain Topic Model for Dynamic Environments

A real-time framework for detecting efficiency regressions in a globally distributed codebase

A real-time framework for detecting efficiency regressions in a globally distributed codebase

Geographical Hidden Markov Tree for Flood Extent Mapping (With Proof Appendix)

Geographical Hidden Markov Tree for Flood Extent Mapping (With Proof Appendix)

Career Transitions and Trajectories: A Case Study in Computing

Career Transitions and Trajectories: A Case Study in Computing

Learning to Estimate the Travel Time

Learning to Estimate the Travel Time

Transfer Learning via Feature Isomorphism Discovery

Transfer Learning via Feature Isomorphism Discovery

R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering

R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering

Learning and Transferring IDs Representation in E commerce

Learning and Transferring IDs Representation in E commerce

Feedback-Guided Anomaly Discovery via Online Optimization

Feedback-Guided Anomaly Discovery via Online Optimization

SpotLight: Detecting Anomalies in Streaming Graphs

SpotLight: Detecting Anomalies in Streaming Graphs

PCA by Determinant Optimization has no Spurious Local Optima

PCA by Determinant Optimization has no Spurious Local Optima

Towards Knowledge Discovery from the Vatican Secret Archives

Towards Knowledge Discovery from the Vatican Secret Archives

Node Similarity with q-Grams for Real-World Labeled Networks

Node Similarity with q-Grams for Real-World Labeled Networks

Managing Computer-Assisted Detection System

Managing Computer-Assisted Detection System

Collaborative Deep Metric Learning for Video Understanding

Collaborative Deep Metric Learning for Video Understanding

Multi-task Representation. Learning for Travel Time Estimation

Multi-task Representation. Learning for Travel Time Estimation

Fatigue Prediction in Outdoor Runners Via Machine Learning and Sensor Fusion

Fatigue Prediction in Outdoor Runners Via Machine Learning and Sensor Fusion

D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes

D2K: Scalable Community Detection in Massive Networks via Small-Diameter k-Plexes

A Data-Driven Three-Layer Algorithm for Split Delivery Vehicle Routing Problem

A Data-Driven Three-Layer Algorithm for Split Delivery Vehicle Routing Problem

Fairness of Exposure in Rankings

Fairness of Exposure in Rankings

Deep r-th Root Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval

Deep r-th Root Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval

Isolation Kernel and Its Effect on SVM

Isolation Kernel and Its Effect on SVM

Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning

Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning

FAHES: A Robust Disguised Missing Values Detector

FAHES: A Robust Disguised Missing Values Detector

Resolving Abstract Anaphora in Conversational Assistants using a Hierarchically-stacked RNN

Resolving Abstract Anaphora in Conversational Assistants using a Hierarchically-stacked RNN

Towards Evolutionary Compression

Towards Evolutionary Compression

XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music

XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music

Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut

Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut

Deploying Machine Learning Models for Public Policy: A Framework

Deploying Machine Learning Models for Public Policy: A Framework

DeepInf: Social Influence Prediction with Deep Learning

DeepInf: Social Influence Prediction with Deep Learning

Mobile access record resolution on large-scale identifier-linkage graphs

Mobile access record resolution on large-scale identifier-linkage graphs

Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries

Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries

Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution

Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution

Are your data gathered?

Are your data gathered?

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection

Optimal Distributed Submodular Optimization via Sketching

Optimal Distributed Submodular Optimization via Sketching

An Iterative Global Structure-Assisted Labeled Network Aligner

An Iterative Global Structure-Assisted Labeled Network Aligner

Semi-Supervised Generative Adversarial Network for Gene Expression Inference

Semi-Supervised Generative Adversarial Network for Gene Expression Inference

Deep Reinforcement Learning for Sponsored Search Real-time Bidding

Deep Reinforcement Learning for Sponsored Search Real-time Bidding

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks

Deep Sequence Learning with Auxiliary Information for Traffic Prediction

Deep Sequence Learning with Auxiliary Information for Traffic Prediction

KDD2018

KDD2018

Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email

Anatomy of a Privacy-Safe Large-Scale Information Extraction System Over Email

ActiveRemediation: The Search for Lead Pipes in Flint, Michigan

ActiveRemediation: The Search for Lead Pipes in Flint, Michigan

Multiview Clustering via Adaptively Weighted Procrustes

Multiview Clustering via Adaptively Weighted Procrustes

Optimizing cluster-based randomized experiments under monotonicity

Optimizing cluster-based randomized experiments under monotonicity

Winner’s Curse: Bias Estimation for Total Effects of Features in Online Controlled Experiments

Winner’s Curse: Bias Estimation for Total Effects of Features in Online Controlled Experiments

SQR: Balancing Speed, Quality and Risk in Online Experiments

SQR: Balancing Speed, Quality and Risk in Online Experiments

Online Parameter Selection for Web-based Ranking Problems

Online Parameter Selection for Web-based Ranking Problems

HeavyGuardian: Separate and Guard Hot Items in Data Streams

HeavyGuardian: Separate and Guard Hot Items in Data Streams

Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks

Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks

An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery

An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery

Discovering Non-Redundant K-means Clusterings in Optimal Subspaces

Discovering Non-Redundant K-means Clusterings in Optimal Subspaces

SDREGION: fast spotting of changing communities in biological networks

SDREGION: fast spotting of changing communities in biological networks

Next-Step Suggestions for Modern Interactive Data Analysis Platforms

Next-Step Suggestions for Modern Interactive Data Analysis Platforms

Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application

Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application

A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization

A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization

Du-Parking: Spatio-Temporal Big Data Tells You Realtime Parking Availability

Du-Parking: Spatio-Temporal Big Data Tells You Realtime Parking Availability

Assessing Candidate Preference through Web Browsing History

Assessing Candidate Preference through Web Browsing History

Scalable Query N-Gram Embedding for Improving Matching and Relevance in Sponsored Search

Scalable Query N-Gram Embedding for Improving Matching and Relevance in Sponsored Search

E-tail Product Return Prediction via Hypergraph-based Local Graph Cut

E-tail Product Return Prediction via Hypergraph-based Local Graph Cut

Estimating Glaucomatous Visual Sensitivity from Retinal Thickness

Estimating Glaucomatous Visual Sensitivity from Retinal Thickness

Buy It Again: Modeling Repeat Purchase Recommendations

Buy It Again: Modeling Repeat Purchase Recommendations

Where Will Dockless Shared Bikes be Stacked? Parking Hotspots Detection in a New City

Where Will Dockless Shared Bikes be Stacked? Parking Hotspots Detection in a New City

Efficient Mining of the Most Significant Patterns with Permutation Testing

Efficient Mining of the Most Significant Patterns with Permutation Testing

COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks

COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks

Scalable Active Learning by Approximated Error Reduction

Scalable Active Learning by Approximated Error Reduction

Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning

Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning

Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU

Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU

Can Who-Edits-What Predict Edit Survival?

Can Who-Edits-What Predict Edit Survival?

Quantifying and Minimizing Risk of Conflict in Social Networks

Quantifying and Minimizing Risk of Conflict in Social Networks

Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries

Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries

Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution

Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution

Accurate and Fast Asymmetric Locality-Sensitive Hashing Scheme for Maximum Inner Product Search

Accurate and Fast Asymmetric Locality-Sensitive Hashing Scheme for Maximum Inner Product Search

Device Graphing by Example

Device Graphing by Example

Discovering Latent Patterns of Urban Cultural Interactions in WeChat for Modern City Planning

Discovering Latent Patterns of Urban Cultural Interactions in WeChat for Modern City Planning

Simultaneous Urban Region Function Discovery and Popularity Estimation Via an Infinite Urbanization

Simultaneous Urban Region Function Discovery and Popularity Estimation Via an Infinite Urbanization

Optimal Allocation of Real-Time-Bidding And Direct Campaigns

Optimal Allocation of Real-Time-Bidding And Direct Campaigns

Gotcha - Sly Malware! Scorpion: A Metagraph2vec Based Malware Detection System

Gotcha - Sly Malware! Scorpion: A Metagraph2vec Based Malware Detection System

Discovering Models from Structural and Behavioral Brain Imaging Data

Discovering Models from Structural and Behavioral Brain Imaging Data

Rare Query Expansion Through Generative Adversarial Networks in Search Advertising

Rare Query Expansion Through Generative Adversarial Networks in Search Advertising

Approximating the Spectrum of a Graph

Approximating the Spectrum of a Graph

Transcribing Content from Structural Images with Spotlight Mechanism

Transcribing Content from Structural Images with Spotlight Mechanism

When Sentiment Analysis Meets Social Network: A Holistic User Behavior Modeling in Opinionated Data

When Sentiment Analysis Meets Social Network: A Holistic User Behavior Modeling in Opinionated Data

Generalized Score Functions for Causal Discovery

Generalized Score Functions for Causal Discovery

Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System

Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System

On Discrimination Discovery and Removal in Ranked Data using Causal Graph

On Discrimination Discovery and Removal in Ranked Data using Causal Graph

Disturbance Grassmann Kernels for Subspace-Based Learning

Disturbance Grassmann Kernels for Subspace-Based Learning

Multi-Label Inference for Crowdsourcing

Multi-Label Inference for Crowdsourcing

Trajectory-driven Influential Billboard Placement

Trajectory-driven Influential Billboard Placement

SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization

SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization

High-order Proximity Preserving Information Network Hashing

High-order Proximity Preserving Information Network Hashing

MiSoSouP: Mining Interesting Subgroups with Sampling and Pseudodimension

MiSoSouP: Mining Interesting Subgroups with Sampling and Pseudodimension

On Interpretation of Network Embedding via Taxonomy Induction

On Interpretation of Network Embedding via Taxonomy Induction

Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calcul

Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calcul

Adversarial Detection with Model Interpretation

Adversarial Detection with Model Interpretation

Learning Structural Node Embeddings via Diffusion Wavelets

Learning Structural Node Embeddings via Diffusion Wavelets

REST: A Reference-based Framework for Spatio-temporal Trajectory Compression

REST: A Reference-based Framework for Spatio-temporal Trajectory Compression

RedThread: Active Search of Connections for Case Building and Combating Human Trafficking Online

RedThread: Active Search of Connections for Case Building and Combating Human Trafficking Online

RAIM: Recurrent Attentive and Intensive Modeling of Multimodal Continuous Patient Monitoring Data

RAIM: Recurrent Attentive and Intensive Modeling of Multimodal Continuous Patient Monitoring Data

Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud

Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud

EvoGraph: An Effective and Efficient Graph Upscaling Method for Preserving Graph Properties

EvoGraph: An Effective and Efficient Graph Upscaling Method for Preserving Graph Properties

Sequences of Sets

Sequences of Sets

Towards Explanation of DNN-based Prediction with Guided Feature Inversion

Towards Explanation of DNN-based Prediction with Guided Feature Inversion

Variable Selection and Task Grouping for Multi-Task Learning

Variable Selection and Task Grouping for Multi-Task Learning

Improving Box Office Result Predictions for Movies Paulo Rui Ruhrlander

Improving Box Office Result Predictions for Movies Paulo Rui Ruhrlander

Content to Node: Self-translation Network Embedding

Content to Node: Self-translation Network Embedding

Tax Fraud Detection for Under-Reporting Declarations Using an Unsupervised Machine Learning Approach

Tax Fraud Detection for Under-Reporting Declarations Using an Unsupervised Machine Learning Approach

IntelliLight: a Reinforcement Learning Approach for Intelligent Traffic Light Control

IntelliLight: a Reinforcement Learning Approach for Intelligent Traffic Light Control

Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning

Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning

Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners

Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners