Methodologies for Cross-Domain Data Fusion: An Overview

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Nonlinear Dimensionality Reduction by Locally Linear Embedding

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A Global Geometric Framework for Nonlinear Dimensionality Reduction

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Representation Learning: A Review and New Perspectives

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Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

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The random subspace method for constructing decision forests

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Multitask Learning

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Random decision forests

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Combining labeled and unlabeled data with co-training

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ALGORITHMS FOR NON-NEGATIVE MATRIX FACTORIZATION

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Using collaborative filtering to weave an information tapestry

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Canonical Correlation Analysis: An Overview with Application to Learning Methods

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Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition

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Singular value decomposition and least squares solutions

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Pattern recognition and machine learning

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Non-negative Matrix Factorization with Sparseness ConstraintsPreprint

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Data fusion

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Trajectory Data Mining

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Multiple Kernel Learning Algorithms

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Urban Computing

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Markov Random Fields and Their Applications

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Relational learning via collective matrix factorization

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Discovering regions of different functions in a city using human mobility and POIs

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Multimodal Learning with Deep Boltzmann Machines

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Analyzing the effectiveness and applicability of co-training

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A Survey on Multi-view LearningPreprint

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U-Air

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Grounded Compositional Semantics for Finding and Describing Images with Sentences

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A Model of Inductive Bias Learning

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Location-based and preference-aware recommendation using sparse geo-social networking data

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Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data

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Collaborative location and activity recommendations with GPS history data

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Book Review: Pattern Recognition and Machine Learning

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Slope One Predictors for Online Rating-Based Collaborative Filtering

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Multimodal Neural Language Models

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A model of inductive bias learning

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Multi-View Discriminant Analysis

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Travel time estimation of a path using sparse trajectories

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Urban computing with taxicabs

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KERNEL AND NONLINEAR CANONICAL CORRELATION ANALYSIS

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Ranking-based clustering of heterogeneous information networks with star network schema

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Forecasting Fine-Grained Air Quality Based on Big Data

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Mining Heterogeneous Information Networks: Principles and Methodologies

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Recommending friends and locations based on individual location history

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Discovering Urban Functional Zones Using Latent Activity Trajectories

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More generality in efficient multiple kernel learning

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Learning travel recommendations from user-generated GPS traces

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Heterogeneous Transfer Learning for Image Classification

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RankClus

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Crowd sensing of traffic anomalies based on human mobility and social media

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Support Vector Machine Applications in Computational Biology

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Discovering spatio-temporal causal interactions in traffic data streams

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Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach

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Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial RegressionPreprint

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Probabilistic Graphical Models

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Translated Learning: Transfer Learning across Different Feature Spaces

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Inferring gas consumption and pollution emission of vehicles throughout a city

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Co-Training and Expansion: Towards Bridging Theory and Practice

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Semi-supervised regression with co-training

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Diagnosing New York city's noises with ubiquitous data

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Multimodal Deep Learning

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Co-EM support vector learning

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Multi-view Discriminant Analysis

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Finding similar users using category-based location history

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Inferring Air Quality for Station Location Recommendation Based on Urban Big Data

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Inferring the Root Cause in Road Traffic Anomalies

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Towards mobile intelligence: Learning from GPS history data for collaborative recommendation

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Heterogeneous transfer learning for image clustering via the social web

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Tracking via Robust Multi-task Multi-view Joint Sparse Representation

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Inferring social ties between users with human location history

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Bootstrapping

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A Graph-based Framework for Multi-Task Multi-View Learning

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Discovering and Profiling Overlapping Communities in Location-Based Social Networks

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Detecting collective anomalies from multiple spatio-temporal datasets across different domains

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Predictive Subspace Learning for Multi-view Data: a Large Margin Approach

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Predictive Subspace Learning for Multi-view Data: a Large Margin Approach

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Fine-grained preference-aware location search leveraging crowdsourced digital footprints from LBSNs

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Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors

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We know how you live

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Multi-view transfer learning with a large margin approach

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Deep Learning: A TutorialPreprint

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Segmentation of Urban Areas Using Road Networks

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Sensing the Pulse of Urban Refueling Behavior

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Multi-view discriminant transfer learning

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Manifold Alignment

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A Cloud-Based Knowledge Discovery System for Monitoring Fine-Grained Air Quality

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Multi-task Multi-view Learning for Heterogeneous Tasks

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Discriminative feature selection for multi-view cross-domain learning

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Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

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Machine learning with big data: challenges and approaches.

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Multi-view clustering: A survey

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Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics

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Tackling climate change with machine learning

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A survey of data fusion in smart city applications

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Physics guided neural network for machining tool wear prediction

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A cloud-based cyber-physical system for adaptive shop-floor scheduling and condition-based maintenance

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Deep learning in big data Analytics: A comparative study

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Urban big data fusion based on deep learning: An overview

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International progress and evaluation on interactive coupling effects between urbanization and the eco-environment

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A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion

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Transfer learning with seasonal and trend adjustment for cross-building energy forecasting

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Urban water quality prediction based on multi-task multi-view learning

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Review of Data Fusion Methods for Real-Time and Multi-Sensor Traffic Flow Analysis

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Dynamic cluster-based over-demand prediction in bike sharing systems

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DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation

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Convergence of Satellite and Terrestrial Networks: A Comprehensive Survey

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SmartAdP: Visual Analytics of Large-scale Taxi Trajectories for Selecting Billboard Locations

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Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach

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Transport modelling in the age of big data

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