Jieping. Ye

Jieping. Ye's AcademicInfluence.com Rankings

Jieping. Ye

Computer Science

#3869

World Rank

#4066

Historical Rank

Data Mining

#50

World Rank

#50

Historical Rank

Machine Learning

#589

World Rank

#596

Historical Rank

Database

#1119

World Rank

#1176

Historical Rank

computer-science Degrees

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Computer Science

Jieping. Ye's Degrees

PhD Computer Science Carnegie Mellon University
Masters Computer Science Carnegie Mellon University
Bachelors Computer Science Tsinghua University

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Jieping. Ye's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Tensor completion for estimating missing values in visual data (2009) (1550)
Object Detection in 20 Years: A Survey (2019) (771)
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018) (741)
Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization (2009) (706)
Two-Dimensional Linear Discriminant Analysis (2004) (701)
Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization (2013) (620)
An accelerated gradient method for trace norm minimization (2009) (568)
Generalized Low Rank Approximations of Matrices (2004) (531)
A quantum network of clocks (2013) (467)
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (2019) (457)
Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems (2005) (372)
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems (2013) (352)
Integrating low-rank and group-sparse structures for robust multi-task learning (2011) (309)
Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation (2010) (297)
Clustered Multi-Task Learning Via Alternating Structure Optimization (2011) (293)
Tenfold reduction of Brownian noise in high-reflectivity optical coatings (2013) (292)
Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis (2011) (288)
Least squares linear discriminant analysis (2007) (288)
On Similarity Preserving Feature Selection (2013) (287)
A two-stage linear discriminant analysis via QR-decomposition (2005) (284)
Robust multi-task feature learning (2012) (278)
An optimization criterion for generalized discriminant analysis on undersampled problems (2004) (271)
Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach (2018) (258)
Hypergraph spectral learning for multi-label classification (2008) (251)
The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms (2017) (238)
A multi-task learning formulation for predicting disease progression (2011) (230)
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning (2010) (229)
Discriminative K-means for Clustering (2007) (216)
Efficient Methods for Overlapping Group Lasso (2011) (211)
Large-scale sparse logistic regression (2009) (211)
Extracting shared subspace for multi-label classification (2008) (201)
An efficient algorithm for a class of fused lasso problems (2010) (196)
A convex formulation for learning shared structures from multiple tasks (2009) (195)
Using uncorrelated discriminant analysis for tissue classification with gene expression data (2004) (193)
Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation (2007) (184)
A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers (2009) (181)
Modeling disease progression via fused sparse group lasso (2012) (180)
Moreau-Yosida Regularization for Grouped Tree Structure Learning (2010) (178)
Modeling disease progression via multi-task learning (2013) (176)
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation (2011) (174)
Multi-task Representation Learning for Travel Time Estimation (2018) (172)
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection (2008) (170)
A shared-subspace learning framework for multi-label classification (2010) (168)
Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis (2006) (167)
A Taxi Order Dispatch Model based On Combinatorial Optimization (2017) (163)
Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data (2012) (161)
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning (2019) (161)
Analysis of sampling techniques for imbalanced data: An n=648 ADNI study (2014) (161)
Learning to Estimate the Travel Time (2018) (160)
DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks (2017) (157)
Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks (2010) (157)
GPCA: an efficient dimension reduction scheme for image compression and retrieval (2004) (157)
Multisource domain adaptation and its application to early detection of fatigue (2012) (156)
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis (2015) (156)
Multi-stage multi-task feature learning (2012) (150)
Mitigating effects of non-ideal synaptic device characteristics for on-chip learning (2015) (148)
Querying discriminative and representative samples for batch mode active learning (2013) (144)
IDR/QR: an incremental dimension reduction algorithm via QR decomposition (2004) (143)
Matrix completion by Truncated Nuclear Norm Regularization (2012) (143)
Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data (2012) (143)
Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis (2006) (136)
Multi-Task Learning for Spatio-Temporal Event Forecasting (2015) (135)
Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function (2015) (134)
Feature grouping and selection over an undirected graph (2012) (133)
From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records (2014) (126)
SVM versus Least Squares SVM (2007) (124)
Flexible Online Task Assignment in Real-Time Spatial Data (2017) (122)
A Unified Approach to Route Planning for Shared Mobility (2018) (121)
Network Reconstruction Based on Evolutionary-Game Data via Compressive Sensing (2011) (120)
Heterogeneous data fusion for alzheimer's disease study (2008) (118)
Adaptive Distance Metric Learning for Clustering (2007) (117)
Linear Dimensionality Reduction for Multi-label Classification (2009) (117)
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates (2019) (113)
Comparison of nine tractography algorithms for detecting abnormal structural brain networks in Alzheimer’s disease (2015) (110)
A Multi-Task Learning Formulation for Survival Analysis (2016) (109)
A Deep Value-network Based Approach for Multi-Driver Order Dispatching (2019) (107)
Multi-class Discriminant Kernel Learning via Convex Programming (2008) (103)
Batch mode active sampling based on marginal probability distribution matching (2012) (99)
Efficient Sparse Generalized Multiple Kernel Learning (2011) (91)
Robust principal component analysis via capped norms (2013) (89)
A least squares formulation for canonical correlation analysis (2008) (89)
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data (2009) (88)
Joint Transfer and Batch-mode Active Learning (2013) (87)
Sparse methods for biomedical data (2012) (86)
Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion (2014) (86)
Automatic Dialogue Summary Generation for Customer Service (2019) (83)
Generalization Bounds for Domain Adaptation (2012) (83)
Safe Screening With Variational Inequalities and Its Applicaiton to LASSO (2013) (81)
A Safe Screening Rule for Sparse Logistic Regression (2013) (80)
On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares (2009) (80)
LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation (2004) (79)
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction (2007) (79)
Order Dispatch in Price-aware Ridesharing (2018) (79)
Technology-design co-optimization of resistive cross-point array for accelerating learning algorithms on chip (2015) (79)
On the supply curve of ride-hailing systems (2020) (78)
Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach (2018) (78)
Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching (2018) (75)
Non-monotonic feature selection (2009) (74)
Training SVM with indefinite kernels (2008) (73)
Bi-level multi-source learning for heterogeneous block-wise missing data (2014) (73)
Learning incoherent sparse and low-rank patterns from multiple tasks (2010) (73)
Sparse non-negative tensor factorization using columnwise coordinate descent (2012) (72)
Tuberculosis Surveillance by Analyzing Google Trends (2011) (70)
Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data (2018) (68)
Multi-objective Multi-view Spectral Clustering via Pareto Optimization (2013) (68)
Multi-source learning with block-wise missing data for Alzheimer's disease prediction (2013) (68)
Efficient L1/Lq Norm Regularization (2010) (67)
Evolutionary diagnosis method for variants in personal exomes (2012) (66)
2-Dimensional Singular Value Decomposition for 2D Maps and Images (2005) (65)
Mining discrete patterns via binary matrix factorization (2009) (64)
Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis (2013) (64)
Efficient model selection for regularized linear discriminant analysis (2006) (64)
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation (2009) (64)
Nonlinear adaptive distance metric learning for clustering (2007) (64)
Persistent Homology in Sparse Regression and Its Application to Brain Morphometry (2014) (63)
Rank-One Matrix Pursuit for Matrix Completion (2014) (63)
A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data (2013) (63)
Multi-label Multiple Kernel Learning (2008) (63)
Efficient Recovery of Jointly Sparse Vectors (2009) (62)
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network (2019) (61)
Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds (2015) (61)
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip (2017) (60)
Scaling SVM and Least Absolute Deviations via Exact Data Reduction (2013) (60)
Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning (2009) (59)
Matrix Inequalities: A Symbolic Procedure to Determine Convexity Automatically (2003) (58)
Efficient Sparse Group Feature Selection via Nonconvex Optimization (2012) (57)
Deep convolutional neural networks for annotating gene expression patterns in the mouse brain (2015) (56)
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms (2019) (56)
Efficient Kernel Discriminant Analysis via QR Decomposition (2004) (56)
An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problems (2013) (55)
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching (2019) (55)
FlyExpress: visual mining of spatiotemporal patterns for genes and publications in Drosophila embryogenesis (2011) (54)
Null space versus orthogonal linear discriminant analysis (2006) (53)
Efficient multi-task feature learning with calibration (2014) (53)
Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting (2016) (52)
Multi-source domain adaptation and its application to early detection of fatigue (2011) (52)
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data (2012) (50)
Customer behavioural modelling of order cancellation in coupled ride-sourcing and taxi markets (2020) (50)
Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction (2015) (50)
Modelling drivers’ working and recharging schedules in a ride-sourcing market with electric vehicles and gasoline vehicles (2019) (50)
Two-Dimensional Singular Value Decomposition ( 2 DSVD ) for 2 D Maps and Images (2005) (50)
On Multiple Kernel Learning with Multiple Labels (2009) (49)
Active Matrix Completion (2013) (48)
Parallel Architecture With Resistive Crosspoint Array for Dictionary Learning Acceleration (2015) (48)
Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease (2011) (47)
A bag-of-words approach for Drosophila gene expression pattern annotation (2009) (47)
Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments (2010) (47)
A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks (2013) (46)
Feature extraction via generalized uncorrelated linear discriminant analysis (2004) (46)
A universal distribution law of network detour ratios (2018) (45)
Detection of number of components in CANDECOMP/PARAFAC models via minimum description length (2016) (44)
Detecting genetic risk factors for Alzheimer's disease in whole genome sequence data via Lasso screening (2015) (43)
A scalable two-stage approach for a class of dimensionality reduction techniques (2010) (42)
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation (2019) (42)
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint (2013) (42)
Hierarchical Interactions Model for Predicting Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) Conversion (2014) (42)
Task fMRI data analysis based on supervised stochastic coordinate coding (2017) (41)
D2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios (2019) (41)
Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient (2018) (40)
A least squares formulation for a class of generalized eigenvalue problems in machine learning (2009) (39)
Fast Overlapping Group Lasso (2010) (38)
Automated annotation of Drosophila gene expression patterns using a controlled vocabulary (2008) (38)
Linear Convergence of Variance-Reduced Stochastic Gradient without Strong Convexity (2014) (38)
Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation (2014) (38)
Drosophila gene expression pattern annotation using sparse features and term-term interactions (2009) (37)
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining (2018) (37)
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets (2014) (37)
Regularized discriminant analysis for high dimensional, low sample size data (2006) (36)
Optimal exact least squares rank minimization (2012) (36)
Online learning by ellipsoid method (2009) (35)
Transfer Learning for Survival Analysis via Efficient L2,1-Norm Regularized Cox Regression (2016) (35)
Metabolomic biosignature differentiates melancholic depressive patients from healthy controls (2016) (34)
Predictive modeling of treatment resistant depression using data from STAR*D and an independent clinical study (2018) (34)
FeaFiner: biomarker identification from medical data through feature generalization and selection (2013) (34)
Drosophila gene expression pattern annotation through multi-instance multi-label learning. (2012) (34)
Multi-Grained Attention Networks for Single Image Super-Resolution (2019) (33)
Multifeature, Sparse-Based Approach for Defects Detection and Classification in Semiconductor Units (2018) (33)
Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting (2017) (32)
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis (2011) (32)
Patient Risk Prediction Model via Top-k Stability Selection (2013) (32)
Accelerated singular value thresholding for matrix completion (2012) (31)
Linear projection methods in face recognition under unconstrained illuminations: a comparative study (2004) (30)
Multiple structure alignment and consensus identification for proteins (2006) (30)
Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline (2016) (30)
Classification of Drosophila embryonic developmental stage range based on gene expression pattern images. (2006) (30)
Multi-task Survival Analysis (2017) (30)
Interest point detection using imbalance oriented selection (2008) (29)
Active Learning from Relative Queries (2013) (29)
Scaling Up Sparse Support Vector Machine by Simultaneous Feature and Sample Reduction (2016) (29)
Discriminant kernel and regularization parameter learning via semidefinite programming (2007) (29)
A Reconstruction Error Based Framework for Multi-Label and Multi-View Learning (2015) (29)
Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network (2011) (27)
Querying Discriminative and Representative Samples for Batch Mode Active Learning (2015) (27)
Efficient nonconvex sparse group feature selection via continuous and discrete optimization (2015) (26)
Boosting brain connectome classification accuracy in Alzheimer's disease using higher-order singular value decomposition (2015) (26)
Simultaneous feature and feature group selection through hard thresholding (2014) (25)
Identifying biologically relevant genes via multiple heterogeneous data sources (2008) (25)
Structural Graphical Lasso for Learning Mouse Brain Connectivity (2015) (24)
Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis (2016) (23)
A framework for interactive image color editing (2013) (23)
On-Chip Sparse Learning Acceleration With CMOS and Resistive Synaptic Devices (2015) (23)
Feature selective temporal prediction of Alzheimer's disease progression using hippocampus surface morphometry (2017) (22)
Approximate Multiple Protein Structure Alignment Using the Sum-of-Pairs Distance (2004) (22)
A transfer learning approach for network modeling (2012) (22)
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming (2007) (22)
Big Data Analytical Approaches to the NACC Dataset: Aiding Preclinical Trial Enrichment (2017) (21)
Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding (2018) (21)
A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models (2014) (20)
Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection (2015) (20)
Matrix-variate and higher-order probabilistic projections (2011) (20)
Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval (2012) (20)
Developmental stage annotation of Drosophila gene expression pattern images via an entire solution path for LDA (2008) (19)
Learning subspace kernels for classification (2008) (19)
Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning (2019) (19)
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing (2016) (19)
Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline (2017) (18)
Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment (2016) (18)
Should patients with diabetes be encouraged to integrate social media into their care plan? (2018) (17)
A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis (2015) (17)
Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning (2017) (17)
Human-Centric Urban Transit Evaluation and Planning (2018) (17)
Linear Convergence of Variance-Reduced Projected Stochastic Gradient without Strong Convexity (2014) (17)
Computational Drug Discovery with Dyadic Positive-Unlabeled Learning (2017) (17)
Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study (2008) (17)
Compressed Facade Displacement Maps (2009) (16)
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting (2019) (16)
Multi-Task Learning based Survival Analysis for Predicting Alzheimer's Disease Progression with Multi-Source Block-wise Missing Data (2018) (16)
AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates (2019) (16)
Learning the Optimal Neighborhood Kernel for Classification (2009) (16)
Margin Based PU Learning (2018) (16)
Guaranteed Sparse Recovery under Linear Transformation (2013) (16)
Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach (2006) (15)
Transfer Learning for Bilingual Content Classification (2015) (15)
DBUS: Human Driving Behavior Understanding System (2019) (14)
Parallel Programming of Resistive Cross-point Array for Synaptic Plasticity (2014) (14)
Pairwise Protein Structure Alignment Based on an Orientation-independent Backbone Representation (2004) (14)
Multi-Stage MultiTask Feature Learning ∗ (2012) (14)
Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression (2013) (14)
Fused Lasso Screening Rules via the Monotonicity of Subdifferentials (2015) (14)
Adaptive diffusion kernel learning from biological networks for protein function prediction (2008) (13)
Image-level and group-level models for Drosophila gene expression pattern annotation (2013) (13)
Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding (2017) (13)
Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices (2015) (13)
HONOR: Hybrid Optimization for NOn-convex Regularized problems (2015) (13)
Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation (2015) (12)
Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding (2015) (12)
Neurophysics-inspired parallel architecture with resistive crosspoint array for dictionary learning (2014) (12)
Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images (2017) (12)
A unified framework for generalized Linear Discriminant Analysis (2008) (12)
InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms (2019) (12)
A geometric viewpoint of manifold learning (2015) (12)
Geodesic Distance Function Learning via Heat Flow on Vector Fields (2014) (11)
Evolution‐informed modeling improves outcome prediction for cancers (2016) (11)
Multi-Stage Dantzig Selector (2010) (11)
Absolute Fused Lasso and Its Application to Genome-Wide Association Studies (2016) (10)
BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification (2015) (10)
Simultaneous pursuit of sparseness and rank structures for matrix decomposition (2015) (10)
A new optimization criterion for generalized discriminant analysis on undersampled problems (2003) (10)
Coupled Support Vector Machines for Supervised Domain Adaptation (2015) (10)
Efficient Approximate Solutions to Mutual Information Based Global Feature Selection (2015) (10)
An Efficient Algorithm For Weak Hierarchical Lasso (2016) (10)
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis (2017) (10)
A Distributed Computing Platform for fMRI Big Data Analytics (2019) (10)
A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq Data (2019) (10)
TINET: Learning Invariant Networks via Knowledge Transfer (2018) (10)
Multiple Stages Classification of Alzheimer’s Disease Based on Structural Brain Networks Using Generalized Low Rank Approximations (GLRAM) (2014) (10)
Multi-task learning based survival analysis for multi-source block-wise missing data (2019) (9)
Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods (2013) (9)
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions (2019) (9)
Exploring spatial patterns of gene expression from Fruit Fly embryogenesis on the iPhone (2012) (9)
Multi-task Vector Field Learning (2012) (9)
A Multi-Stage Framework for Dantzig Selector and LASSO (2012) (9)
Deep Reinforcement Learning with Applications in Transportation (2019) (9)
Sparse trace norm regularization (2012) (9)
Multiclass Probabilistic Kernel Discriminant Analysis (2009) (9)
Jointly Modeling Label and Feature Heterogeneity in Medical Informatics (2016) (9)
Recommendation-based Team Formation for On-demand Taxi-calling Platforms (2019) (8)
Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning (2019) (8)
Multi-Label Dimensionality Reduction (Chapman & Hall/CRC Machine Learning & Pattern Recognition) (2011) (8)
Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions (2016) (8)
Spatial interest pixels (SIPs): useful low-level features of visual media data (2003) (8)
Image Cosegmentation via Multi-task Learning (2014) (8)
Integrating Convolutional Neural Networks and Multi-Task Dictionary Learning for Cognitive Decline Prediction with Longitudinal Images. (2020) (7)
Sparse Generalized Functional Linear Model for Predicting Remission Status of Depression Patients (2013) (7)
Dictionary LASSO: Guaranteed Sparse Recovery under Linear Transformation (2013) (7)
Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion (2008) (7)
Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures (2018) (7)
Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks (2018) (7)
Projection onto A Nonnegative Max-Heap (2011) (7)
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response (2019) (6)
Automatic Detection of Alzheimer's Disease Using Spontaneous Speech Only (2021) (6)
Adaptive Appearance Based Face Recognition (2006) (6)
Federated Morphometry Feature Selection for Hippocampal Morphometry Associated Beta-Amyloid and Tau Pathology (2021) (6)
Parallel Lasso Screening for Big Data Optimization (2016) (6)
Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression (2016) (5)
Annealed Sparsity via Adaptive and Dynamic Shrinking (2016) (5)
Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling (2017) (5)
The Second Order Linear Model (2017) (5)
Perspective Analysis for Online Debates (2012) (5)
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning (2021) (5)
Direct comparison of two spin squeezed optical clocks below the quantum projection noise limit (2022) (5)
Large-scale classification of major depressive disorder via distributed Lasso (2017) (5)
CPM: A Covariance-preserving Projection Method (2006) (5)
CoRide (2019) (5)
Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals From the ADNI and OASIS Databases (2021) (5)
Boosting classification accuracy of diffusion MRI derived brain networks for the subtypes of mild cognitive impairment using higher order singular value decomposition (2015) (5)
HetETA (2020) (4)
Integrating Spatial and Discriminant Strength for Feature Selection and Linear Dimensionality Reduction (2006) (4)
Patch-based surface morphometry feature selection with federated group lasso regression (2020) (4)
Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework (2010) (4)
Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,125 Individuals from the ADNI and OASIS Databases (2020) (4)
Generalization Bounds for Representative Domain Adaptation (2014) (4)
A Subject-Independent Method for Automatically Grading Electromyographic Features During a Fatiguing Contraction (2012) (4)
Text and data mining for biomedical discovery. (2013) (4)
Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease (2019) (4)
Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression (2017) (4)
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets (2019) (4)
Biological Image Analysis via Matrix Approximation (2009) (3)
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee (2019) (3)
Identifying Genetic Risk Factors via Sparse Group Lasso with Group Graph Structure (2017) (3)
Melancholic Depression Prediction by Identifying Representative Features in Metabolic and Microarray Profiles with Missing Values (2014) (3)
Reply to: "Proper reporting of predictor performance" (2014) (3)
FlyExpress 7: An Integrated Discovery Platform To Study Coexpressed Genes Using in Situ Hybridization Images in Drosophila (2017) (3)
Low-Rank and Sparse Multi-task Learning (2014) (3)
Automated Gene Expression Pattern Annotation in the Mouse Brain (2014) (3)
Taxi or Hitchhiking: Predicting Passenger's Preferred Service on Ride Sharing Platforms (2018) (3)
Efficient approximation of minimum energy curves with interpolatory constraints (2000) (3)
Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach (2019) (3)
Nonconvex One-bit Single-label Multi-label Learning (2017) (3)
Scalable Distributed Hashing for Approximate Nearest Neighbor Search (2021) (3)
Pairwise protein structure alignment based on an orientation-independent representation of the backbone geometry (2003) (3)
POI Semantic Model with a Deep Convolutional Structure (2019) (3)
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics (2017) (2)
Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding (2021) (2)
Transportation: A Data Driven Approach (2019) (2)
LSSLP - Local structure sensitive label propagation (2016) (2)
Discriminant Kernel Learning Discriminant Kernel Learning via Convex Programming (2007) (2)
CompactETA (2020) (2)
AHINE: Adaptive Heterogeneous Information Network Embedding (2019) (2)
Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso (2014) (2)
Large-Scale Targeted Marketing by Supervised PageRank with Seeds (2018) (2)
Sparse Inverse Covariance Analysis of human brain for Alzheimer's disease study (2009) (2)
Excess noise in highly reflective crystalline mirror coatings (2022) (2)
Phosphosilicate Fiber-Based Low Quantum Defect Raman Fiber Laser with Ultrahigh Spectral Purity (2022) (2)
Multi-feature sparse-based defect detection and classification in semiconductor units (2016) (2)
Transfer Learning Framework for Early Detection of Fatigue Using Non-invasive Surface Electromyogram Signals (SEMG) (2011) (2)
Template-guided Functional Network Identification via Supervised Dictionary Learning (2017) (2)
Multidimensional folding for sinusoidal order selection (2016) (1)
Approximation of minimum energy curves (2000) (1)
Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval (2012) (1)
An evaluation of identity representability of facial expressions using feature distributions (2008) (1)
Interest Pixel Mining (2009) (1)
Pruning Decision Trees via Max-Heap Projection (2017) (1)
TEXT AND DATA MINING FOR BIOMEDICAL DISCOVERY- SESSION INTRODUCTION (2012) (1)
An efficient algorithm for weak hierarchical lasso (2014) (1)
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Flexible spectral manipulation property of a high power linearly polarized random fiber laser (2018) (0)
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Spin-Decoupled Metasurface for Orbital Angular Momentum Multiplexing (2022) (0)
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Metadata of the chapter that will be visualized in SpringerLink (0)

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