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Causal Discovery with Attention-Based Convolutional Neural Networks
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Causation, Prediction, and Search
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A Deep Learning Method for Acid Concentration and Temperature Prediction in Acid Production with Flue Gas
inferred← citeshttps://doi.org/10.1109/dsaa60987.2023.10302482openalex-snapshot
Evaluating Explanation Methods of Multivariate Time Series Classification through Causal Lenses
inferred← citeshttps://doi.org/10.1109/ecai69016.2026.11613699openalex-snapshot
Incremental Causal Discovery in Time Series Using Transformer Models
inferred← citeshttps://doi.org/10.1109/embc58623.2025.11253070openalex-snapshot
EEG-based Auditory Attention Switch Detection with Multi-scale Gated Attention and Multi-task Learning based Hierarchical Spatiotemporal Networks
inferred← citeshttps://doi.org/10.1109/fasta70174.2026.11549173openalex-snapshot
Anomaly Detection and Root Cause Identification in Multistage Industrial Processes via Causal Graph-Based Spatio-Temporal Learning
inferred← citeshttps://doi.org/10.1109/fg57933.2023.10042676openalex-snapshot
Towards Intercultural Affect Recognition: Audio-Visual Affect Recognition in the Wild Across Six Cultures
inferred← citeshttps://doi.org/10.1109/globecom46510.2021.9685864openalex-snapshot
Explainable Health State Prediction for Social IoTs through Multi-Channel Attention
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096874openalex-snapshot
SyncNet: Correlating Objective for Time Delay Estimation in Audio Signals
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096964openalex-snapshot
Interpretable Multi-Scale Neural Network for Granger Causality Discovery
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889219openalex-snapshot
Attention-Driven Causal Discovery: From Transformer Matrices to Granger Causal Graphs for Non-Stationary Time-series Data
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889221openalex-snapshot
Catch Causal Signals from Edges for Label Imbalance in Graph Classification
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11461910openalex-snapshot
Time Series Decomposition and Fusion-Based Granger Causality Network for Nonlinear Causal Inference
inferred← citeshttps://doi.org/10.1109/icc45041.2023.10279527openalex-snapshot
Causal-Temporal Analysis-Based Feature Selection for Predicting Application Performance Degradation in Edge Clouds
inferred← citeshttps://doi.org/10.1109/icdm50108.2020.00111openalex-snapshot
Inductive Granger Causal Modeling for Multivariate Time Series
inferred← citeshttps://doi.org/10.1109/icdm65498.2025.00056openalex-snapshot
DiffuGC: Diffusion Model Can Help Discover Granger Causality from Interventional Time Series
inferred← citeshttps://doi.org/10.1109/icdmw69685.2025.00043openalex-snapshot
TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data
inferred← citeshttps://doi.org/10.1109/icites62688.2024.10777445openalex-snapshot
Causality Extraction based on Sequence Tagging with Triple Attention for Cyber Physical Applications
inferred← citeshttps://doi.org/10.1109/icmla52953.2021.00076openalex-snapshot
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191157openalex-snapshot
Revealing Causal Graph Structure in Pigeon Flocks Using Attentions in Temporal ConvNet
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10192004openalex-snapshot
Neural Time-Invariant Causal Discovery from Time Series Data
inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892477openalex-snapshot
When Dynamic Causality Comes to Graph-Temporal Neural Network
inferred← citeshttps://doi.org/10.1109/jas.2025.125396openalex-snapshot
An Interpretable Temporal Convolutional Framework for Granger Causality Analysis
inferred← citeshttps://doi.org/10.1109/jas.2026.125837openalex-snapshot
A New Knowledge Mining and Root Cause Analysis Methodology for Multivariate Time Series
inferred← citeshttps://doi.org/10.1109/jbhi.2025.3644481openalex-snapshot
Task-Aware Effective Connectivity Modeling for Cognitive Function Prediction
inferred← citeshttps://doi.org/10.1109/jsen.2025.3539014openalex-snapshot
Root Cause Diagnosis for Time Series Data Faults Based on Fault Isolation and Channel-Attentive Sparse Causal Networks
inferred← citeshttps://doi.org/10.1109/jsen.2026.3708886openalex-snapshot
Bidirectional Hierarchical Lasso With Accelerated Nesterov Proximal Algorithm for Causal Quality Prediction of Industrial Processes
inferred← citeshttps://doi.org/10.1109/lra.2021.3095907openalex-snapshot
Industrial Time Series Modeling With Causal Precursors and Separable Temporal Convolutions
inferred← citeshttps://doi.org/10.1109/mcom.001.1900211openalex-snapshot
Assisting Intelligent Wireless Networks with Traffic Prediction: Exploring and Exploiting Predictive Causality in Wireless Traffic
inferred← citeshttps://doi.org/10.1109/phm-xian66756.2025.11427842openalex-snapshot
A Root Cause Analysis and Prediction Framework in Quality Control Based on Hierarchical PCMCI
inferred← citeshttps://doi.org/10.1109/rivf68649.2025.11365038openalex-snapshot
Hybrid TCDF with Knowledge Graph Verification for Temporal Causal Graphs in Industrial Systems
inferred← citeshttps://doi.org/10.1109/ro-man60168.2024.10731290openalex-snapshot
Experimental Evaluation of ROS-Causal in Real-World Human-Robot Spatial Interaction Scenarios
inferred← citeshttps://doi.org/10.1109/saner64311.2025.00050openalex-snapshot
RADICE: Causal Graph Based Root Cause Analysis for System Performance Diagnostic
inferred← citeshttps://doi.org/10.1109/swc62898.2024.00145openalex-snapshot
Behavior Cognition Association Analysis with Heterogeneous Multimodal Causal Discovery
inferred← citeshttps://doi.org/10.1109/tase.2026.3672332openalex-snapshot
Condition-Dependent Causal Discovery: A Polynomial Chaos Framework for Systems With Parametric Uncertainty
inferred← citeshttps://doi.org/10.1109/tbme.2024.3423803openalex-snapshot
A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development
inferred← citeshttps://doi.org/10.1109/tbme.2025.3579378openalex-snapshot
Time-Reversal Enhanced Dynamic Causality Distribution Learning and Its Application in Identifying Dynamic ECNs in MCI Patients
inferred← citeshttps://doi.org/10.1109/tbme.2025.3596893openalex-snapshot
A Spatiotemporal Causal Model for Revealing Developmental Changes in Infants' Brain Effective Connectivity Networks During the First Year of Life
inferred← citeshttps://doi.org/10.1109/tii.2025.3631459openalex-snapshot
Lag-Wise Temporal Squeeze-and-Excitation Network for Root Cause Analysis in Industrial Process Faults
inferred← citeshttps://doi.org/10.1109/tii.2026.3672049openalex-snapshot
Causal Discovery in Dynamic Industrial Systems Under Parametric Uncertainty: A Polynomial Chaos Approach
inferred← citeshttps://doi.org/10.1109/tii.2026.3674543openalex-snapshot
A Gradient-Based Causal Discovery Framework With Applications to Complex Industrial Processes
inferred← citeshttps://doi.org/10.1109/tkde.2024.3484461openalex-snapshot
CausalFormer: An Interpretable Transformer for Temporal Causal Discovery
inferred← citeshttps://doi.org/10.1109/tkde.2025.3618763openalex-snapshot
Breaking Information Granularity Heterogeneity: A Mutual Information-Inspired Causal Discovery Framework for Multi-Rate Time Series
inferred← citeshttps://doi.org/10.1109/tmc.2025.3541102openalex-snapshot
PicaCAN: Reverse Engineering Physical Semantics of Signals in CAN Messages Using Physically-Induced Causalities
inferred← citeshttps://doi.org/10.1109/tnnls.2024.3415149openalex-snapshot
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatiotemporal Forecasting
inferred← citeshttps://doi.org/10.1109/tnsre.2023.3344995openalex-snapshot
Deep Causality Variational Autoencoder Network for Identifying the Potential Biomarkers of Brain Disorders
inferred← citeshttps://doi.org/10.1109/tnsre.2024.3471646openalex-snapshot
UCLN: Toward the Causal Understanding of Brain Disorders With Temporal Lag Dynamics
inferred← citeshttps://doi.org/10.1109/tpami.2025.3553957openalex-snapshot
Addressing Information Asymmetry: Deep Temporal Causality Discovery for Mixed Time Series
inferred← citeshttps://doi.org/10.1109/tr.2025.3626848openalex-snapshot
IFWDA: A Domain Adaptation Framework for Multicause Fault Diagnosis Using Information Flow and Causal Feature Weighting
inferred← citeshttps://doi.org/10.1109/tsp.2023.3282068openalex-snapshot
Sparse Online Learning With Kernels Using Random Features for Estimating Nonlinear Dynamic Graphs
inferred← citeshttps://doi.org/10.1109/tvcg.2020.3030465openalex-snapshot
Visual Causality Analysis of Event Sequence Data
inferred← citeshttps://doi.org/10.1109/tvcg.2022.3163765openalex-snapshot
A Model for Types and Levels of Automation in Visual Analytics: A Survey, a Taxonomy, and Examples
inferred← citeshttps://doi.org/10.1109/wacv56688.2023.00608openalex-snapshot
Treatment Learning Causal Transformer for Noisy Image Classification
inferred← citeshttps://doi.org/10.1142/s0218194026500415openalex-snapshot
Group-Driven Causal Modeling and Root Cause Analysis for High-Dimensional Time Series
inferred← citeshttps://doi.org/10.1145/3394486.3403220openalex-snapshot
Heidegger: Interpretable Temporal Causal Discovery
inferred← citeshttps://doi.org/10.1145/3447548.3467161openalex-snapshot
Causal and Interpretable Rules for Time Series Analysis
inferred← citeshttps://doi.org/10.1145/3464423openalex-snapshot
Deep Learning for Medical Anomaly Detection – A Survey
inferred← citeshttps://doi.org/10.1145/3480971openalex-snapshot
KOMPOS: Connecting Causal Knots in Large Nonlinear Time Series with Non-Parametric Regression Splines
inferred← citeshttps://doi.org/10.1145/3564121.3564810openalex-snapshot
Identification of Causal Dependencies in Multivariate Time Series
inferred← citeshttps://doi.org/10.1145/3580305.3599392openalex-snapshot
Incremental Causal Graph Learning for Online Root Cause Analysis
inferred← citeshttps://doi.org/10.1145/3580305.3599408openalex-snapshot
Learning for Counterfactual Fairness from Observational Data
inferred← citeshttps://doi.org/10.1145/3580305.3599849openalex-snapshot
Interdependent Causal Networks for Root Cause Localization
inferred← citeshttps://doi.org/10.1145/3583120.3586960openalex-snapshot
CMA: Cross-Modal Association Between Wearable and Structural Vibration Signal Segments for Indoor Occupant Sensing
inferred← citeshttps://doi.org/10.1145/3583780.3614719openalex-snapshot
STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction
inferred← citeshttps://doi.org/10.1145/3608251.3608292openalex-snapshot
Exploring the Efficacy of Explainable Deep Learning in Identifying Neuromarkers for Precise Prediction of Epilepsy and Causal Connectivity Analysis
inferred← citeshttps://doi.org/10.1145/3637528.3672051openalex-snapshot
FaultInsight: Interpreting Hyperscale Data Center Host Faults
inferred← citeshttps://doi.org/10.1145/3640818openalex-snapshot
EffCause: Discover Dynamic Causal Relationships Efficiently from Time-Series
inferred← citeshttps://doi.org/10.1145/3663529.3663834openalex-snapshot
Illuminating the Gray Zone: Non-intrusive Gray Failure Localization in Server Operating Systems
inferred← citeshttps://doi.org/10.1145/3665494openalex-snapshot
Causality for Trustworthy Artificial Intelligence: Status, Challenges and Perspectives
inferred← citeshttps://doi.org/10.1145/3672556openalex-snapshot
(Vision Paper) A Vision for Spatio-Causal Situation Awareness, Forecasting, and Planning
inferred← citeshttps://doi.org/10.1145/3691620.3695485openalex-snapshot
MRCA: Metric-level Root Cause Analysis for Microservices via Multi-Modal Data
inferred← citeshttps://doi.org/10.1145/3705297openalex-snapshot
Causal Discovery from Temporal Data: An Overview and New Perspectives
inferred← citeshttps://doi.org/10.1145/3711896.3736980openalex-snapshot
Generative Imputation with Multi-level Causal Consistency for Variable Subset Forecasting
inferred← citeshttps://doi.org/10.1145/3746252.3761606openalex-snapshot
CausalBench-ER: Causally-Informed Explanations and Recommendations for Reproducible Benchmarking
inferred← citeshttps://doi.org/10.1145/3762179openalex-snapshot
Deep Causal Learning: Representation, Discovery and Inference
inferred← citeshttps://doi.org/10.1145/3768292.3770421openalex-snapshot
DeltaLag: Learning Dynamic Lead-Lag Patterns in Financial Markets
inferred← citeshttps://doi.org/10.1145/3770855.3817863openalex-snapshot
StaR: Stateful Dynamic-Graph Root Cause Analysis through Memory-Enhanced Causality Discovery
inferred← citeshttps://doi.org/10.1145/3777547openalex-snapshot
Enhancing Spatial-Temporal Prediction Models with Dynamic Causal Graphs
inferred← citeshttps://doi.org/10.1145/3796263.3796299openalex-snapshot
Gaussian Process Based Causal Discovery for Root Cause Analysis in Multivariate Time Series
inferred← citeshttps://doi.org/10.1146/annurev-pharmtox-031620-031509openalex-snapshot
Engineering the Microbiome to Prevent Adverse Events: Challenges and Opportunities
inferred← citeshttps://doi.org/10.1155/2022/7513717openalex-snapshot
A Network Security Situation Prediction Method through the Use of Improved TCN and BiDLSTM
inferred← citeshttps://doi.org/10.1155/int/3436744openalex-snapshot
A Three‐Stage Causal Root‐Cause Diagnostic Protocol for Nonstationary Industrial Time Series Data
inferred← citeshttps://doi.org/10.1186/s12859-021-04521-wopenalex-snapshot
Aristotle: stratified causal discovery for omics data
inferred← citeshttps://doi.org/10.12677/pm.2025.155151openalex-snapshot
GCGAN: Time Series Granger Causality Discovery Based on Generative Adversarial Networks
inferred← citeshttps://doi.org/10.13016/m28nd1-di6hopenalex-snapshot
Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere CyberTraining: Big Data + High-Performance Computing + Atmospheric Sciences
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