Latest
- PG-LRF: Physiology-Guided Latent Rectified Flow for Electro-Hemodynamic PPG-to-ECG Generation
- TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis
- Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning
- Position: Beyond Prediction: Toward Verifiable Physiological Waveform Reasoning with Foundation Models and Agentic LLMs
- TemporalBench: A Benchmark for Evaluating LLM-Based Agents on Contextual and Event-Informed Time Series Tasks
- Sample-Level Prototypical Federated Learning
- "Someone Hid It!": Query-Agnostic Black-Box Attacks on LLM-Based Retrieval
- PINFDiT: Energy-Based Physics-Informed Diffusion Transformers for General-purpose Time Series Tasks
- Conversational Time Series Foundation Models: Towards Explainable and Effective Forecasting
- Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs
- Toward Evolutionary Intelligence: LLM-based Agentic Systems with Multi-Agent Reinforcement Learning
- EnECG: Efficient Ensemble Learning for Electrocardiogram Multi-task Foundation Models
- CartoMapQA: A Fundamental Benchmark Dataset Evaluating Vision-Language Models on Cartographic Map Understanding
- A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models
- When LLM Meets Time Series: Can LLMs Perform Multi-Step Time Series Reasoning and Inference
- Foundation Models for Demand Forecasting via Dual-Strategy Ensembling
- Physics-Aware Spatiotemporal Causal Graph Network for Forecasting with Limited Data
- Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting
- When Splitting Makes Stronger: A Theoretical and Empirical Analysis of Divide-and-Conquer Prompting in LLMs
- When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
- A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation
- InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly
- Mixture of Projection Experts for Multivariate Long-Term Time Series Forecasting
- Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference
- TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents
- TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model
- An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series
- Toward Mitigating Misinformation and Social Media Manipulation in LLM Era
- TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
- GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting
- TrustLLM: Trustworthiness in Large Language Models
- Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning
- Large Scale Financial Time Series Forecasting with Multi-faceted Model
- Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection
- SVGformer: Representation Learning for Continuous Vector Graphics using Transformers
- Estimating Treatment Effects in Continuous Time with Hidden Confounders
- Capturing Cross-Platform Interaction for Identifying Coordinated Accounts of Misinformation Campaigns
- Self-supervised Sim-to-Real Kinematics Reconstruction for Video-Based Assessment of Intraoperative Suturing Skills
- Time-delayed Multivariate Time Series Predictions
- Transferable and Interpretable Treatment Effectiveness Prediction for Ovarian Cancer via Multimodal Deep Learning
- DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift
- Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media
- Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data
- Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction
- Road to automating robotic suturing skills assessment: Battling mislabeling of the ground truth
- Gradient-based optimization for multi-resource spatial coverage problems
- Treatment Recommendation with Preference-based Reinforcement Learning
- VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media
- PD58-08 AUTOMATING SUTURING SKILLS ASSESSMENT WITH A LIMITED SURGEON DATASET: META LEARNING
- PolSIRD: Modeling Epidemic Spread Under Intervention Policies: Analyzing the First Wave of COVID-19 in the USA
- Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling
- An Examination of Fairness of AI Models for Deepfake Detection
- Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours
- MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset
- SIMULATING CONTINUOUS-TIME HUMAN MOBILITY TRAJECTORIES
- Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data
- Multi-agent Trajectory Prediction with Fuzzy Query Attention
- Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
- Network Inference from a Mixture of Diffusion Models for Fake News Mitigation
- How does this interaction affect me? Interpretable attribution for feature interactions
- Generative Attention Networks for Multi-Agent Behavioral Modeling
- Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network
- NoiseRank: Unsupervised Label Noise Reduction with Dependence Models
- Current status of artificial intelligence applications in urology and their potential to influence clinical practice
- DBUS: Human Driving Behavior Understanding System
- DeepFP for Finding Nash Equilibrium in Continuous Action Spaces
- Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection
- Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics
- CoSTCo: A Neural Tensor Completion Model for Sparse Tensors
- D$textasciicircum2$-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios
- Deep Fictitious Play for Games with Continuous Action Spaces
- Differentiable Physics-informed Graph Networks
- Combating Fake News: A Survey on Identification and Mitigation Techniques
- Structure-informed Graph Auto-encoder for RelationalInference and Simulation
- Partially Generative Neural Networks for Gang Crime Classification with Partial Information
- Recurrent Neural Networks for Multivariate Time Series with Missing Values
- Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series
- Multi-task Representation Learning for Travel Time Estimation
- Deep Generative Dual Memory Network for Continual Learning
- DynGEM: Deep Embedding Method for Dynamic Graphs
- Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes
- Deep Learning Solutions for Classifying Patients on Opioid Use
- Policy Learning for Continuous Space Security Games Using Neural Networks
- Matrix completability analysis via graph k-connectivity
- Automatically Inferring Data Quality for Spatiotemporal Forecasting
- Detecting Statistical Interactions from Neural Network Weights
- Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
- Relational Multi-Instance Learning for Concept Annotation from Medical Time Series
- Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability
- Neural User Response Generator: Fake News Detection with Collective User Intelligence
- A pilot study in using deep learning to predict limited life expectancy in women with recurrent cervical cancer
- CSI: A Hybrid Deep Model for Fake News Detection
- Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets
- Tensor Regression Meets Gaussian Processes
- Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records
- Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
- Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting
- Interpretable Deep Models for ICU Outcome Prediction
- Not Enough Data? Joint Inferring Multiple Diffusion Networks via Network Generation Priors
- Variational Recurrent Adversarial Deep Domain Adaptation
- Data Quality Network for Spatiotemporal Forecasting
- DECADE: A Deep Metric Learning Model for Multivariate Time Series
- Graph convolutional autoencoder with recurrent neural networks for spatiotemporal forecasting
- Handling Continuous Space Security Games with Neural Networks
- Representation Learning of Users and Items for Review Rating Prediction Using Attention-based Convolutional Neural Network
- Time Series Feature Learning with Applications to Health Care
- On Bochner's and Polya's Characterizations of Positive-Definite Kernels and the Respective Random Feature Maps
- Normal / abnormal heart sound recordings classification using convolutional neural network
- A Survey on Social Media Anomaly Detection
- Latent Space Model for Road Networks to Predict Time-Varying Traffic
- Timeline summarization from social media with life cycle models
- Learning from Multiway Data: Simple and Efficient Tensor Regression
- Geographic Segmentation via Latent Poisson Factor Model
- Learning Influence Functions from Incomplete Observations
- SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling
- GLAD: Group Anomaly Detection in Social Media Analysis
- Functional subspace clustering with application to time series
- Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams
- Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification
- HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades
- Model Selection for Topic Models via Spectral Decomposition
- Spectral Sparsification of Random-Walk Matrix Polynomials
- Hierarchical active transfer learning: SIAM International Conference on Data Mining 2015, SDM 2015
- An Examination of Multivariate Time Series Hashing with Applications to Health Care
- Ups and Downs in Buzzes: Life Cycle Modeling for Temporal Pattern Discovery
- Scalable Parallel Factorizations of SDD Matrices and Efficient Sampling for Gaussian Graphical Models
- FBLG: a simple and effective approach for temporal dependence discovery from time series data
- Parallel gibbs sampling for hierarchical dirichlet processes via gamma processes equivalence
- Linking Heterogeneous Input Spaces with Pivots for Multi-Task Learning
- Analyzing the Number of Latent Topics via Spectral Decomposition
- Bayesian regularization via graph Laplacian
- Computational discovery of physiomes in critically ill children using deep learning
- Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning
- Accelerating Active Learning with Transfer Learning
- Fast structure learning in generalized stochastic processes with latent factors
- An Examination of Practical Granger Causality Inference
- Transfer Topic Modeling with Ease and Scalability
- Granger Causality for Time-Series Anomaly Detection
- Community discovery and profiling with social messages
- Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems
- Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling
- Granger Causality Analysis in Irregular Time Series
- A Framework for Efficient Data Analytics through Automatic Configuration and Customization of Scientific Workflows
- Learning with Minimum Supervision: A General Framework for Transductive Transfer Learning
- Detecting Multilingual and Multi-Regional Query Intent in Web Search
- Latent graphical models for quantifying and predicting patent quality
- Multi-view transfer learning with a large margin approach
- Serendipitous learning: learning beyond the predefined label space
- Transfer Latent Semantic Learning: Microblog Mining with Less Supervision
- Temporal graphical models for cross-species gene regulatory network discovery
- Multiple Instance Learning on Structured Data
- Collaboration analytics: mining work patterns from collaboration activities
- Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis
- Learning temporal causal graphs for relational time-series analysis
- Medical data mining: insights from winning two competitions
- Grouped graphical Granger modeling methods for temporal causal modeling
- Learning dynamic temporal graphs for oil-production equipment monitoring system
- Spatial-temporal causal modeling for climate change attribution
- Topic-link LDA: joint models of topic and author community
- Who is the expert? Analyzing gaze data to predict expertise level in collaborative applications
- Proximity-Based Anomaly Detection using Sparse Structure Learning
- Breast cancer identification: KDD CUP winner's report
- Graph-Based Rare Category Detection
- Making the most of your data: KDD Cup 2007 \"How Many Ratings\" winner's report
- Predicting who rated what in large-scale datasets
- Temporal causal modeling with graphical granger methods
- Harmonium Models for Semantic Video Representation and Classification
- Finding New Customers Using Unstructured and Structured Data
- Semi-supervised learning of attribute-value pairs from product descriptions
- Text mining for product attribute extraction
- Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
- Segmentation conditional random fields (SCRFs): a new approach for protein fold recognition
- Predicting Protein Folds with Structural Repeats Using a Chain Graph Model
- Comparison of probabilistic combination methods for protein secondary structure prediction
- Kernel conditional random fields: representation and clique selection
- On predicting rare classes with SVM ensembles in scene classification
- A New Boosting Algorithm Using Input-Dependent Regularizer
- A New Pairwise Ensemble Approach for Text Classification
- Protein Quaternary Fold Recognition Using Conditional Graphical Models
- Boosting to Correct Inductive Bias in Text Classification