Latest

• Phosformer: An explainable Transformer model for protein kinase-specific phosphorylation predictions
• Estimating Propensity Scores with Deep Adaptive Variable Selection
• Tree Visualizations of Protein Sequence Embedding Space Enable Improved Functional Clustering of Diverse Protein Superfamilies
• Alignment-Free Estimation of Sequence Conservation for Identifying Functional Sites Using Protein Sequence Embeddings
• Unbiasing Scene Graph Generation with Explicit Ontological Adjustment
• Concept-Level Model Interpretation from the Causal Aspect
• ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition
• Collaborative Attention Mechanism for Multi-Modal Time Series Classification
• Adversarial Adaptive Cross Domain Face Clustering
• Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation
• Self-supervised Universal Domain Adaptation with Adaptive Memory Separation
• An Application in Modeling Lake and River Systems
• Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data
• Mapping the glycosyltransferase fold landscape using interpretable deep learning
• Automated Graph Learning via Population Based Self-Tuning GCN
• 2.5D Pose Guided Human Image Generation
• Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers
• Enriching Knowledge Graph Embeddings with External Text
• Correlative Channel-Aware Fusion for Multi-View Time Series Classification
• Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation
• Transferable Feature Learning on Graphs Across Visual Domains
• Socially Aware Multimodal Deep Neural Networks for Fake News Classification
• Knowledge-Guided Article Embedding Refinement for Session-based News Recommendation
• A Survey on Causal Inference
• Quantitative Structure–Mutation–Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction
• Learning Discriminative Virtual Sequences for Time Series Classification
• Matching in Selective and Balanced Representation Space for Treatment Effects Estimation
• Context-aware Graph Embedding for Session-based News Recommendation
• Co-embedding of Nodes and Edges with Graph Neural Networks
• Causal Inference Meets Machine Learning
• A Survey on Representation Learning for User Modeling
• Adaptively Similarity-preserved Representation Learning for Individual Treatment Effect Estimation
• Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery
• Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space
• Low-Rank Analysis–Synthesis Dictionary Learning with Adaptively Ordinal Locality
• Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation
• Witness Detection in Multi-Instance Regression and Its Application for Age Estimation
• Smart Home Monitoring System via Footstep Induced Vibrations
• Flexible Auto-weighted Local-coordinate Concept Factorization
• Training Streaming Factorization Machines with Alternating Least Squares
• SADIH: Semantic-Aware DIscrete Hashing
• Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering
• Convolution with Edge-Node Switching in Graph Neural Networks
• On the Estimation of Treatment Effect with Text Covariates
• Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning
• Towards Interpretable User Modeling via Recurrent Semantics Memory Unit
• Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?
• Marginalized Multi-View Ensemble Clustering
• Scene Graph Generation with External Knowledge and Image Reconstruction
• Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior
• Survey of Image and Video Captioning
• Robust Spectral Ensemble Clustering via Rank Minimization
• Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection
• Supervised Transfer Learning for Product Information Question Answering
• Generic Embedded Semantic Dictionary for Robust Multi-label Classification
• Towards Resolution-Invariant Person Re-identification via Projective Dictionary Learning
• Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation
• Representation Learning for Treatment Effect Estimation from Observational Data
• Robust Locality-Constrained Label Consistent KSVD by Joint Sparse Embedding
• Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning
• Robust Adaptive Label Propagation by Double Matrix Decomposition
• A Review on Deep Learning Techniques Applied to Answer Selection
• Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation
• A Simple End-to-End Question Answering Model for Product Information
• Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation
• Contextual Collaborative Filtering for Student Response Prediction in Mixed-Format Tests
• Discriminative Semi-coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification
• Latent Discriminant Subspace Representations for Multi-view Outlier Detection
• Early Recognition of 3D Human Actions
• Multi-View Low-Rank Analysis with Applications to Outlier Detection
• Robust Multi-Label Semi-Supervised Classification
• Multi-View Graph Learning with Adaptive Label Propagation
• Stacked Denoising Tensor Auto-Encoder for Action Recognition with Spatiotemporal Corruptions
• Matching on Balanced Nonlinear Representations for Treatment Effects Estimation
• Person Re-identification by Cross-View Multi-Level Dictionary Learning
• From Ensemble Clustering to Multi-View Clustering
• Infinite Ensemble Clustering
• SLMOML: Online Metric Learning with Global Convergence
• Videography-Based Unconstrained Video Analysis
• Self-Taught Low-Rank Coding for Visual Learning
• Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach
• Robust Spectral Ensemble Clustering
• Infinite Ensemble for Image Clustering
• Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns
• Learning Robust Representations for Data Analytics
• Learning Robust and Discriminative Subspace with Low-Rank Constraints