On the public citation graph
Learning dynamic Bayesian networks
0 signed · 494 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jmbi.1994.1104openalex-snapshot
Hidden Markov Models in Computational Biology
inferredcites →https://doi.org/10.1007/978-1-4612-0745-0openalex-snapshot
Bayesian Learning for Neural Networks
inferredcites →https://doi.org/10.1007/978-3-540-85066-3_3openalex-snapshot
A Tutorial on Learning with Bayesian Networks
inferredcites →https://doi.org/10.1016/0005-1098(85)90014-7openalex-snapshot
Adaptive filtering, prediction and control
inferredcites →https://doi.org/10.1016/0031-3203(94)90024-8openalex-snapshot
Hidden Markov models for fault detection in dynamic systems
inferredcites →https://doi.org/10.1073/pnas.91.3.1059openalex-snapshot
Hidden Markov models of biological primary sequence information.
inferredcites →https://doi.org/10.1080/00401706.1991.10484833openalex-snapshot
Hidden Markov Models for Speech Recognition
inferredcites →https://doi.org/10.1080/01621459.1987.10478458openalex-snapshot
The Calculation of Posterior Distributions by Data Augmentation
inferredcites →https://doi.org/10.1088/0954-898x/6/3/011openalex-snapshot
Probable networks and plausible predictions — a review of practical Bayesian methods for supervised neural networks
inferredcites →https://doi.org/10.1093/biomet/83.3.589openalex-snapshot
Markov chain Monte Carlo in conditionally Gaussian state space models
inferredcites →https://doi.org/10.1109/89.242489openalex-snapshot
ML estimation of a stochastic linear system with the EM algorithm and its application to speech recognition
inferredcites →https://doi.org/10.1109/tac.1963.1105600openalex-snapshot
Solutions to the linear smoothing problem
inferredcites →https://doi.org/10.1109/tit.1967.1054010openalex-snapshot
Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
inferredcites →https://doi.org/10.1109/tpami.1984.4767596openalex-snapshot
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
inferredcites →https://doi.org/10.1111/j.1467-8640.1989.tb00324.xopenalex-snapshot
A model for reasoning about persistence and causation
inferredcites →https://doi.org/10.1111/j.1467-9892.1982.tb00349.xopenalex-snapshot
AN APPROACH TO TIME SERIES SMOOTHING AND FORECASTING USING THE EM ALGORITHM
inferredcites →https://doi.org/10.1111/j.2517-6161.1974.tb00999.xopenalex-snapshot
Spatial Interaction and the Statistical Analysis of Lattice Systems
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1111/j.2517-6161.1988.tb01721.xopenalex-snapshot
Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems
inferredcites →https://doi.org/10.1162/neco.1991.3.1.79openalex-snapshot
Adaptive Mixtures of Local Experts
inferredcites →https://doi.org/10.1162/neco.1994.6.2.181openalex-snapshot
Hierarchical Mixtures of Experts and the EM Algorithm
inferredcites →https://doi.org/10.1162/neco.1997.9.2.227openalex-snapshot
Probabilistic Independence Networks for Hidden Markov Probability Models
inferredcites →https://doi.org/10.1214/aoms/1177697196openalex-snapshot
A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
inferredcites →https://doi.org/10.48550/arxiv.1302.4965openalex-snapshot
Stochastic Simulation Algorithms for Dynamic Probabilistic Networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4792141openalex-extracted
Activity Recognition within a Manufacturing System: A Comparison of Logic Programming, Machine Learning, and Combinatorial Optimization Based Methods
inferred← citeshttps://doi.org/10.1002/0470018860.s00040openalex-snapshot
Markov Decision Processes, Learning of
inferred← citeshttps://doi.org/10.1002/0471667196.ess7017openalex-snapshot
Journal De La Société Française De Statistique
inferred← citeshttps://doi.org/10.1002/9781118515853.app1openalex-snapshot
Appendix A: Probability Theory
inferred← citeshttps://doi.org/10.1002/int.1027openalex-snapshot
Evolutionary learning of dynamic probabilistic models with large time lags
inferred← citeshttps://doi.org/10.1002/sim.5719openalex-snapshot
Multi‐profile hidden Markov model for mood, dietary intake, and physical activity in an intervention study of childhood obesity
inferred← citeshttps://doi.org/10.1007/11518655_9openalex-snapshot
Hydrologic Models for Emergency Decision Support Using Bayesian Networks
inferred← citeshttps://doi.org/10.1007/11844662_3openalex-snapshot
Temporal Context Lie Detection and Generation
inferred← citeshttps://doi.org/10.1007/3-540-46430-1_31openalex-snapshot
A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models
inferred← citeshttps://doi.org/10.1007/978-0-387-31439-6_351openalex-snapshot
Linguistic Techniques for Event Recognition
inferred← citeshttps://doi.org/10.1007/978-0-85729-206-3_7openalex-snapshot
Evidence Synthesis Using Bayesian Belief Networks
inferred← citeshttps://doi.org/10.1007/978-0-85729-670-2_3openalex-snapshot
Towards Modelling Behaviour
inferred← citeshttps://doi.org/10.1007/978-1-4020-5741-0_13openalex-snapshot
PROBABILISTIC FORECASTS USING BAYESIAN NETWORKS CALIBRATED WITH DETERMINISTIC RAINFALL-RUNOFF MODELS
inferred← citeshttps://doi.org/10.1007/978-1-4419-9017-4_10openalex-snapshot
Graphical Models and Automatic Speech Recognition
inferred← citeshttps://doi.org/10.1007/978-1-4471-0443-8_2openalex-snapshot
Particle Filters for Non-Stationary ICA
inferred← citeshttps://doi.org/10.1007/978-1-4471-0811-5_3openalex-snapshot
Software Foundation Libraries for Intelligent Systems
inferred← citeshttps://doi.org/10.1007/978-1-4471-6699-3_9openalex-snapshot
Dynamic and Temporal Bayesian Networks
inferred← citeshttps://doi.org/10.1007/978-1-4757-4865-9_5openalex-snapshot
Stochastic Modeling of Video Events
inferred← citeshttps://doi.org/10.1007/978-1-4939-7834-2_16openalex-snapshot
Network Analysis of Gene Expression
inferred← citeshttps://doi.org/10.1007/978-1-4939-8882-2_5openalex-snapshot
Causal Queries from Observational Data in Biological Systems via Bayesian Networks: An Empirical Study in Small Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-04750-4_21openalex-snapshot
Multihazard Risk Assessment from Qualitative Methods to Bayesian Networks: Reviewing Recent Contributions and Exploring New Perspectives
inferred← citeshttps://doi.org/10.1007/978-3-030-06170-8_12openalex-snapshot
Robotics and Artificial Intelligence
inferred← citeshttps://doi.org/10.1007/978-3-030-15032-7_87openalex-snapshot
MVMM: Data Center Scheduler Algorithm for Virtual Machine Migration
inferred← citeshttps://doi.org/10.1007/978-3-030-42058-1_28openalex-snapshot
Contextual Anomaly Detection in Time Series Using Dynamic Bayesian Network
inferred← citeshttps://doi.org/10.1007/978-3-030-61943-5_9openalex-snapshot
Dynamic and Temporal Bayesian Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-16281-7_2openalex-snapshot
Autonomous Driving Based on Imitation and Active Inference
inferred← citeshttps://doi.org/10.1007/978-3-031-16474-3_48openalex-snapshot
Temporal Nodes Causal Discovery for in Intensive Care Unit Survival Analysis
inferred← citeshttps://doi.org/10.1007/978-3-319-00560-7_44openalex-snapshot
Dynamic Bayesian Networks in Dynamic Reliability and Proposition of a Generic Method for Dynamic Reliability Estimation
inferred← citeshttps://doi.org/10.1007/978-3-319-03916-9_5openalex-snapshot
Discovering Probabilistic Structures of Healthcare Processes
inferred← citeshttps://doi.org/10.1007/978-3-319-11259-6_71-1openalex-snapshot
Quantifying and Reducing Uncertainty about Causality in Improving Public Health and Safety
inferred← citeshttps://doi.org/10.1007/978-3-319-15248-6_18openalex-snapshot
A Bayesian State-Space Approach for Damage Detection and Classification
inferred← citeshttps://doi.org/10.1007/978-3-319-41279-5_3openalex-snapshot
Causal Inference and Structure Learning of Genotype–Phenotype Networks Using Genetic Variation
inferred← citeshttps://doi.org/10.1007/978-3-319-55889-9_3openalex-snapshot
Sixty Years of Economics: Some Lessons for the Future
inferred← citeshttps://doi.org/10.1007/978-3-319-71246-8_10openalex-snapshot
Labeled DBN Learning with Community Structure Knowledge
inferred← citeshttps://doi.org/10.1007/978-3-319-73317-3_28openalex-snapshot
Learning the Structure of Dynamic Bayesian Network with Hybrid Data and Domain Knowledges
inferred← citeshttps://doi.org/10.1007/978-3-319-74500-8_45openalex-snapshot
A General Overview of 3D RNA Structure Prediction Approaches
inferred← citeshttps://doi.org/10.1007/978-3-540-24855-2_95openalex-snapshot
Improving MACS Thanks to a Comparison with 2TBNs
inferred← citeshttps://doi.org/10.1007/978-3-540-27835-1_5openalex-snapshot
Learning Bayesian Networks by Lamarckian Genetic Algorithm and Its Application to Yeast Cell-Cycle Gene Network Reconstruction from Time-Series Microarray Data
inferred← citeshttps://doi.org/10.1007/978-3-540-28645-5_32openalex-snapshot
Search-Based Class Discretization for Hidden Markov Model for Regression
inferred← citeshttps://doi.org/10.1007/978-3-540-30499-9_143openalex-snapshot
A Partitioning Method for Fuzzy Probabilistic Predictors
inferred← citeshttps://doi.org/10.1007/978-3-540-34353-0_5openalex-snapshot
Scenario Maps on Situational Switch Model, Applied to Blood-Test Data for Hepatitis C Patients
inferred← citeshttps://doi.org/10.1007/978-3-540-71915-1_28openalex-snapshot
The Use of Bayesian Networks in Decision-Making
inferred← citeshttps://doi.org/10.1007/978-3-540-75171-7_10openalex-snapshot
Machine Learning for Semi-structured Multimedia Documents: Application to Pornographic Filtering and Thematic Categorization
inferred← citeshttps://doi.org/10.1007/978-3-540-87481-2_33openalex-snapshot
A Simple Model for Sequences of Relational State Descriptions
inferred← citeshttps://doi.org/10.1007/978-3-642-00670-8_9openalex-snapshot
Next-Generation Misuse and Anomaly Prevention System
inferred← citeshttps://doi.org/10.1007/978-3-642-04667-4_41openalex-snapshot
Incremental Video Event Learning
inferred← citeshttps://doi.org/10.1007/978-3-642-13769-3_15openalex-snapshot
A Dynamic Bayesian Network Based Structural Learning towards Automated Handwritten Digit Recognition
inferred← citeshttps://doi.org/10.1007/978-3-642-29047-3_22openalex-snapshot
Dynamic Multi-chain Graphical Model for Psychosocial and Behavioral Profiles in Childhood Obesity
inferred← citeshttps://doi.org/10.1007/978-3-642-33212-8_7openalex-snapshot
Towards a Novel Probabilistic Graphical Model of Sequential Data: Fundamental Notions and a Solution to the Problem of Parameter Learning
inferred← citeshttps://doi.org/10.1007/978-3-642-35506-6_13openalex-snapshot
Decision Support for Safe AI Design
inferred← citeshttps://doi.org/10.1007/978-3-642-40066-7_15openalex-snapshot
Body Sensor Networks for Activity and Gesture Recognition
inferred← citeshttps://doi.org/10.1007/978-3-642-40643-0_38openalex-snapshot
A Dynamic Bayesian Network Framework for Learning from Observation
inferred← citeshttps://doi.org/10.1007/978-3-642-54474-3_4openalex-snapshot
Information Transfer in the Brain: Insights from a Unified Approach
inferred← citeshttps://doi.org/10.1007/978-94-010-0324-7_35openalex-snapshot
Perspectives of Computational Intelligence
inferred← citeshttps://doi.org/10.1007/978-981-15-8155-7_42openalex-snapshot
An Improved Variational Bayesian Information Filter with Measurement Loss for Underwater Navigation
inferred← citeshttps://doi.org/10.1007/978-981-97-3023-0_8openalex-snapshot
Markov Random Field-Based Video Anomaly Detection
inferred← citeshttps://doi.org/10.1007/s00779-012-0546-xopenalex-snapshot
Enhancing biometric recognition with spatio-temporal reasoning in smart environments
inferred← citeshttps://doi.org/10.1007/s10015-017-0367-0openalex-snapshot
Quantifying the impact of communication on performance in multi-agent teams
inferred← citeshttps://doi.org/10.1007/s10033-017-0179-0openalex-snapshot
MapReduce Based Parallel Bayesian Network for Manufacturing Quality Control
inferred← citeshttps://doi.org/10.1007/s10115-021-01621-0openalex-snapshot
Causal inference for time series analysis: problems, methods and evaluation
inferred← citeshttps://doi.org/10.1007/s10626-025-00421-wopenalex-snapshot
A comparative review of decision-making approaches for realistic event-driven environments
inferred← citeshttps://doi.org/10.1007/s10827-009-0174-2openalex-snapshot
Causal pattern recovery from neural spike train data using the Snap Shot Score
inferred← citeshttps://doi.org/10.1007/s10928-021-09786-5openalex-snapshot
Machine learning-guided, big data-enabled, biomarker-based systems pharmacology: modeling the stochasticity of natural history and disease progression
inferred← citeshttps://doi.org/10.1007/s10994-008-5065-7openalex-snapshot
Boosted Bayesian network classifiers
inferred← citeshttps://doi.org/10.1007/s10994-010-5213-8openalex-snapshot
Stochastic relational processes: Efficient inference and applications
inferred← citeshttps://doi.org/10.1007/s11042-010-0560-9openalex-snapshot
A comprehensive study of visual event computing
inferred← citeshttps://doi.org/10.1007/s11042-012-1169-yopenalex-snapshot
Classification-oriented structure learning in Bayesian networks for multimodal event detection in videos
inferred← citeshttps://doi.org/10.1007/s11042-022-13814-yopenalex-snapshot
Early intention prediction of pedestrians using contextual attention-based LSTM
inferred← citeshttps://doi.org/10.1007/s11063-017-9730-3openalex-snapshot
Dynamic Hybrid Random Fields for the Probabilistic Graphical Modeling of Sequential Data: Definitions, Algorithms, and an Application to Bioinformatics
inferred← citeshttps://doi.org/10.1007/s11229-013-0360-7openalex-snapshot
Modelling mechanisms with causal cycles
inferred← citeshttps://doi.org/10.1007/s11263-006-4329-6openalex-snapshot
Beyond Tracking: Modelling Activity and Understanding Behaviour
inferred← citeshttps://doi.org/10.1007/s11276-023-03239-2openalex-snapshot
Vehicular delay tolerant network routing algorithm based on trajectory clustering and dynamic Bayesian network
inferred← citeshttps://doi.org/10.1007/s11571-013-9278-5openalex-snapshot
A novel approach for pilot error detection using Dynamic Bayesian Networks
inferred← citeshttps://doi.org/10.1007/s11768-011-0260-7openalex-snapshot
Comparison of fusion methods based on DST and DBN in human activity recognition
inferred← citeshttps://doi.org/10.1007/s11910-017-0748-8openalex-snapshot
A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders
inferred← citeshttps://doi.org/10.1007/s12652-011-0095-6openalex-snapshot
Sensor data fusion for activity monitoring in the PERSONA ambient assisted living project
inferred← citeshttps://doi.org/10.1016/b978-0-12-375027-3.00006-5openalex-snapshot
State Space Modeling of Neural Spike Train and Behavioral Data
inferred← citeshttps://doi.org/10.1016/j.advwatres.2010.01.003openalex-snapshot
A novel approach to infer streamflow signals for ungauged basins
inferred← citeshttps://doi.org/10.1016/j.artint.2007.09.006openalex-snapshot
MEBN: A language for first-order Bayesian knowledge bases
inferred← citeshttps://doi.org/10.1016/j.artmed.2008.08.015openalex-snapshot
Fully non-homogeneous hidden Markov model double net: A generative model for haplotype reconstruction and block discovery
inferred← citeshttps://doi.org/10.1016/j.bbr.2009.08.031openalex-snapshot
Structure learning in action
inferred← citeshttps://doi.org/10.1016/j.compag.2010.01.001openalex-snapshot
Development of soft computing and applications in agricultural and biological engineering
inferred← citeshttps://doi.org/10.1016/j.compbiolchem.2013.09.004openalex-snapshot
Using gene expression programming to infer gene regulatory networks from time-series data
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2007.02.005openalex-snapshot
Learning and modeling biosignatures from tissue images
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2023.108988openalex-snapshot
A hybrid behavior- and Bayesian network-based framework for cyber–physical anomaly detection
inferred← citeshttps://doi.org/10.1016/j.conbuildmat.2015.05.127openalex-snapshot
Onsite assessment of structural timber members by means of hierarchical models and probabilistic methods
inferred← citeshttps://doi.org/10.1016/j.csl.2003.09.004openalex-snapshot
Factor analysed hidden Markov models for speech recognition
inferred← citeshttps://doi.org/10.1016/j.csl.2009.04.002openalex-snapshot
Dynamic Bayesian networks and variable length genetic algorithm for designing cue-based model for dialogue act recognition
inferred← citeshttps://doi.org/10.1016/j.cub.2014.05.020openalex-snapshot
Modeling Task Control of Eye Movements
inferred← citeshttps://doi.org/10.1016/j.cviu.2003.08.001openalex-snapshot
Object-based analysis and interpretation of human motion in sports video sequences by dynamic bayesian networks
inferred← citeshttps://doi.org/10.1016/j.cviu.2007.06.004openalex-snapshot
Incremental and adaptive abnormal behaviour detection
inferred← citeshttps://doi.org/10.1016/j.cviu.2008.05.011openalex-snapshot
Optimising dynamic graphical models for video content analysis
inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2004.11.021openalex-snapshot
On the use of stationary versus hidden Markov models to detect simple versus complex ecological dynamics
inferred← citeshttps://doi.org/10.1016/j.egycc.2025.100201openalex-snapshot
Quantifying hydrogen technology acceptance: Insights from Bayesian networks
inferred← citeshttps://doi.org/10.1016/j.enconman.2018.10.092openalex-snapshot
Activated carbon and graphene nanoplatelets based novel composite for performance enhancement of adsorption cooling cycle
inferred← citeshttps://doi.org/10.1016/j.engappai.2012.08.008openalex-snapshot
Confidence estimation of feedback information for logicdiagnosis
inferred← citeshttps://doi.org/10.1016/j.engfailanal.2022.107034openalex-snapshot
Equipment failure rate in electric power distribution networks: An overview of concepts, estimation, and modeling methods
inferred← citeshttps://doi.org/10.1016/j.eswa.2012.05.002openalex-snapshot
Temporal Bayesian Knowledge Bases – Reasoning about uncertainty with temporal constraints
inferred← citeshttps://doi.org/10.1016/j.eswa.2014.02.049openalex-snapshot
A Dynamic-Bayesian Network framework for modeling and evaluating learning from observation
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126670openalex-snapshot
Advances in Bayesian networks for industrial process analytics: Bridging data and mechanisms
inferred← citeshttps://doi.org/10.1016/j.etran.2024.100374openalex-snapshot
Advanced data-driven fault diagnosis in lithium-ion battery management systems for electric vehicles: Progress, challenges, and future perspectives
inferred← citeshttps://doi.org/10.1016/j.ifacol.2015.12.271openalex-snapshot
Learning deep dynamical models from image pixels
inferred← citeshttps://doi.org/10.1016/j.ifacol.2024.08.560openalex-snapshot
Characterization of minimal network structures modeling stochastic processes
inferred← citeshttps://doi.org/10.1016/j.ijar.2007.04.004openalex-snapshot
An approach to hybrid probabilistic models
inferred← citeshttps://doi.org/10.1016/j.jbi.2013.12.008openalex-snapshot
Dynamic Bayesian Networks to predict sequences of organ failures in patients admitted to ICU
inferred← citeshttps://doi.org/10.1016/j.jmp.2013.05.006openalex-snapshot
A computational-level explanation of the speed of goal inference
inferred← citeshttps://doi.org/10.1016/j.jprocont.2021.02.004openalex-snapshot
Bayesian network for dynamic variable structure learning and transfer modeling of probabilistic soft sensor
inferred← citeshttps://doi.org/10.1016/j.knosys.2014.02.013openalex-snapshot
CT-IC: Continuously activated and Time-restricted Independent Cascade model for viral marketing
inferred← citeshttps://doi.org/10.1016/j.mbs.2015.06.006openalex-snapshot
From genome-scale data to models of infectious disease: A Bayesian network-based strategy to drive model development
inferred← citeshttps://doi.org/10.1016/j.mcm.2005.12.002openalex-snapshot
Data association based on optimization in graphical models with application to sensor networks
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.09.071openalex-snapshot
Action recognition based on RGB and skeleton data sets: A survey
inferred← citeshttps://doi.org/10.1016/j.paerosci.2012.04.003openalex-snapshot
A review of Integrated Vehicle Health Management tools for legacy platforms: Challenges and opportunities
inferred← citeshttps://doi.org/10.1016/j.patcog.2007.07.023openalex-snapshot
Spectral clustering with eigenvector selection
inferred← citeshttps://doi.org/10.1016/j.patcog.2007.11.024openalex-snapshot
Activity based surveillance video content modelling
inferred← citeshttps://doi.org/10.1016/j.patrec.2006.12.016openalex-snapshot
Temporal Bayesian Network based contextual framework for structured information mining
inferred← citeshttps://doi.org/10.1016/j.patrec.2011.12.010openalex-snapshot
DBN-based structural learning and optimisation for automated handwritten character recognition
inferred← citeshttps://doi.org/10.1016/j.patrec.2013.07.015openalex-snapshot
Context augmented Dynamic Bayesian Networks for event recognition
inferred← citeshttps://doi.org/10.1016/j.patrec.2018.04.019openalex-snapshot
Finding a set of candidate parents using dependency criterion for the K2 algorithm
inferred← citeshttps://doi.org/10.1016/j.physa.2004.11.032openalex-snapshot
Reconstructing gene regulatory networks from time-series microarray data
inferred← citeshttps://doi.org/10.1016/j.physrep.2024.10.006openalex-snapshot
Network modeling and topology of aging
inferred← citeshttps://doi.org/10.1016/j.procs.2011.07.049openalex-snapshot
Spatio-Temporal Reasoning in Biometrics Based Smart Environments
inferred← citeshttps://doi.org/10.1016/j.ress.2009.11.012openalex-snapshot
Improved reliability modeling using Bayesian networks and dynamic discretization
inferred← citeshttps://doi.org/10.1016/j.ress.2013.07.016openalex-snapshot
A classification-based approach to monitoring the safety of dynamic systems
inferred← citeshttps://doi.org/10.1016/j.ress.2017.08.018openalex-snapshot
Post-disaster infrastructure recovery: Prediction of recovery rate using historical data
inferred← citeshttps://doi.org/10.1016/j.rser.2024.114691openalex-snapshot
Power generation forecasting for solar plants based on Dynamic Bayesian networks by fusing multi-source information
inferred← citeshttps://doi.org/10.1016/j.sigpro.2005.06.008openalex-snapshot
Relationships between probabilistic Boolean networks and dynamic Bayesian networks as models of gene regulatory networks
inferred← citeshttps://doi.org/10.1016/j.sigpro.2021.108170openalex-snapshot
Data-driven transition matrix estimation in probabilistic learning models for autonomous driving
inferred← citeshttps://doi.org/10.1016/j.tpb.2019.03.002openalex-snapshot
A spatial Markovian framework for estimating regional and local dynamics of annual plants with dormancy
inferred← citeshttps://doi.org/10.1016/j.trc.2020.102660openalex-snapshot
Link-based traffic state estimation and prediction for arterial networks using license-plate recognition data
inferred← citeshttps://doi.org/10.1016/j.trpro.2017.07.008openalex-snapshot
A dynamic Bayesian network approach to forecast short-term urban rail passenger flows with incomplete data
inferred← citeshttps://doi.org/10.1016/j.ymssp.2017.03.043openalex-snapshot
A Bayesian state-space approach for damage detection and classification
inferred← citeshttps://doi.org/10.1016/s0167-6393(03)00031-1openalex-snapshot
Hidden-articulator Markov models for speech recognition
inferred← citeshttps://doi.org/10.1016/s0933-3657(03)00042-3openalex-snapshot
Cerebral modeling and dynamic Bayesian networks
inferred← citeshttps://doi.org/10.1016/s1574-6526(06)x8001-xopenalex-snapshot
Handbook of Constraint Programming
inferred← citeshttps://doi.org/10.1017/9781108592703openalex-snapshot
Time and Causality across the Sciences
inferred← citeshttps://doi.org/10.1017/9781108592703.001openalex-snapshot
An Introduction to Time and Causality
inferred← citeshttps://doi.org/10.1017/9781108592703.002openalex-snapshot
Causality and Time: An Introductory Typology
inferred← citeshttps://doi.org/10.1017/9781108592703.004openalex-snapshot
On the Causal Nature of Time
inferred← citeshttps://doi.org/10.1017/9781108592703.005openalex-snapshot
Causation in a Physical World: An Overview of Our Emerging Understanding
inferred← citeshttps://doi.org/10.1017/9781108592703.007openalex-snapshot
Time–Event Relationships as Representations for Constructing Cell Mechanisms
inferred← citeshttps://doi.org/10.1017/9781108592703.008openalex-snapshot
Causation, Time Asymmetry, and Causal Mechanisms in the Social Sciences
inferred← citeshttps://doi.org/10.1017/9781108592703.009openalex-snapshot
Temporalization in Causal Modeling
inferred← citeshttps://doi.org/10.1017/9781108592703.010openalex-snapshot
Reintroducing Dynamics into Static Causal Models
inferred← citeshttps://doi.org/10.1017/9781108592703.011openalex-snapshot
Overcoming the Poverty of Mechanism in Causal Models
inferred← citeshttps://doi.org/10.1017/cbo9781107295360openalex-snapshot
Bayesian Speech and Language Processing
inferred← citeshttps://doi.org/10.1017/s0269888910000251openalex-snapshot
Learning Bayesian networks: approaches and issues
inferred← citeshttps://doi.org/10.1017/s1471068409003767openalex-snapshot
CP-logic: A language of causal probabilistic events and its relation to logic programming
inferred← citeshttps://doi.org/10.1023/a:1008103718973openalex-snapshot
Dynamic Learning with the EM Algorithm for Neural Networks
inferred← citeshttps://doi.org/10.1023/a:1008183014430openalex-snapshot
Blind Source Separation for Non-Stationary Mixing
inferred← citeshttps://doi.org/10.1023/a:1011477420926openalex-snapshot
Bioinformatics and Constraints
inferred← citeshttps://doi.org/10.1038/s41540-019-0116-1openalex-snapshot
An omnidirectional visualization model of personalized gene regulatory networks
inferred← citeshttps://doi.org/10.1038/s41598-020-67398-4openalex-snapshot
Realistic simulation of virtual multi-scale, multi-modal patient trajectories using Bayesian networks and sparse auto-encoders
inferred← citeshttps://doi.org/10.1038/s41598-024-58806-0openalex-snapshot
Dynamic Bayesian network structure learning based on an improved bacterial foraging optimization algorithm
inferred← citeshttps://doi.org/10.1038/s41598-024-69371-xopenalex-snapshot
QACDes: QoS-aware context-sensitive design of cyber-physical systems
inferred← citeshttps://doi.org/10.1039/d6se00408copenalex-snapshot
Dynamic safety risk assessment of green hydrogen production under renewable energy fluctuations: methodological evolution from static analysis to real-time prediction
inferred← citeshttps://doi.org/10.1049/gtd2.70302openalex-snapshot
A Causation‐Guided Data‐Driven Model for Electricity Consumption Forecasting of Industrial Chains
inferred← citeshttps://doi.org/10.1049/ip-smt:20000851openalex-snapshot
Learning interaction dynamics with coupledhidden Markovmodels
inferred← citeshttps://doi.org/10.1061/ajrua6.0001116openalex-snapshot
Causal Graphical Models for Systems-Level Engineering Assessment
inferred← citeshttps://doi.org/10.1073/pnas.0801715105openalex-snapshot
A generative, probabilistic model of local protein structure
inferred← citeshttps://doi.org/10.1073/pnas.1404948111openalex-snapshot
Equilibrium simulations of proteins using molecular fragment replacement and NMR chemical shifts
inferred← citeshttps://doi.org/10.1080/00140139.2010.512984openalex-snapshot
Real-time performance modelling of a Sustained Attention to Response Task
inferred← citeshttps://doi.org/10.1080/00273171.2015.1033510openalex-snapshot
Reciprocal Markov Modeling of Feedback Mechanisms Between Emotion and Dietary Choice Using Experience-Sampling Data
inferred← citeshttps://doi.org/10.1080/01621459.2017.1389739openalex-snapshot
Bayesian Graphical Regression
inferred← citeshttps://doi.org/10.1080/03088839.2020.1730010openalex-snapshot
Risk analysis of maritime accidents along the main route of the Maritime Silk Road: a Bayesian network approach
inferred← citeshttps://doi.org/10.1093/bioinformatics/btq631openalex-snapshot
Fast and efficient dynamic nested effects models
inferred← citeshttps://doi.org/10.1093/comjnl/bxp047openalex-snapshot
Probabilistic Approaches to Estimating the Quality of Information in Military Sensor Networks
inferred← citeshttps://doi.org/10.1097/ta.0b013e3182250184openalex-snapshot
Using Principal Component Analysis to Aid Bayesian Network Development for Prediction of Critical Care Patient Outcomes
inferred← citeshttps://doi.org/10.1098/rstb.2011.0184openalex-snapshot
Bioinformatics tools in predictive ecology: applications to fisheries
inferred← citeshttps://doi.org/10.1101/2020.04.27.029207openalex-snapshot
Bayesian inference of kinetic schemes for ion channels by Kalman filtering
inferred← citeshttps://doi.org/10.1101/2024.04.20.590387openalex-snapshot
Using Bayesian priors to overcome non-identifiablility issues in Hidden Markov models
inferred← citeshttps://doi.org/10.1103/physreve.88.062714openalex-snapshot
Trend and fluctuations: Analysis and design of population dynamics measurements in replicate ecosystems
inferred← citeshttps://doi.org/10.1108/ecam-10-2020-0817openalex-snapshot
Applications of Bayesian approaches in construction management research: a systematic review
inferred← citeshttps://doi.org/10.1109/acc.2006.1657689openalex-snapshot
A Bayesian network framework for stochastic discrete-event control
inferred← citeshttps://doi.org/10.1109/access.2022.3172712openalex-snapshot
Active Inference Integrated With Imitation Learning for Autonomous Driving
inferred← citeshttps://doi.org/10.1109/access.2025.3579939openalex-snapshot
Reliability Assessment and Condition Monitoring of Wind Energy Conversion Systems Using Bayesian Networks: Recent Advances and Key Insights
inferred← citeshttps://doi.org/10.1109/adprl.2009.4927529openalex-snapshot
Executing concurrent actions with multiple Markov decision processes
inferred← citeshttps://doi.org/10.1109/afgr.2000.840663openalex-snapshot
Audio-visual speaker detection using dynamic Bayesian networks
inferred← citeshttps://doi.org/10.1109/aiccsa63423.2024.10912526openalex-snapshot
New Dynamic Bayesian Network for Time-to-Event Prediction
inferred← citeshttps://doi.org/10.1109/aidm.2006.16openalex-snapshot
Using Coupled Hidden Markov Models to Model Suspect Interactions in Digital Forensic Analysis
inferred← citeshttps://doi.org/10.1109/autest.2004.1436895openalex-snapshot
Dynamic multiple fault diagnosis with imperfect tests
inferred← citeshttps://doi.org/10.1109/avss.2003.1217919openalex-snapshot
Discovering Bayesian causality among visual events in a complex outdoor scene
inferred← citeshttps://doi.org/10.1109/cbms.2014.24openalex-snapshot
Large-Scale Methodological Comparison of Acute Hypotensive Episode Forecasting Using MIMIC2 Physiological Waveforms
inferred← citeshttps://doi.org/10.1109/cdc51059.2022.9993290openalex-snapshot
Score-and-search methods for the recovery of structure in networks of dynamic systems
inferred← citeshttps://doi.org/10.1109/cgncc.2016.7828869openalex-snapshot
On close-range air combat based on hidden Markov model
inferred← citeshttps://doi.org/10.1109/cic.2015.7408617openalex-snapshot
Cardiology eHealth messages routing policies management driven by Dynamic Bayesian Networks
inferred← citeshttps://doi.org/10.1109/cimsa.2005.1522869openalex-snapshot
Measuring the amount of information in textual messages
inferred← citeshttps://doi.org/10.1109/cimsvp.2009.4925643openalex-snapshot
Cortical columns: Building blocks for intelligent systems
inferred← citeshttps://doi.org/10.1109/cira.2005.1554253openalex-snapshot
Speech-based localization of multiple persons for an interface robot
inferred← citeshttps://doi.org/10.1109/cit/iucc/dasc/picom.2015.2openalex-snapshot
A Dining Context-Aware System with Mobile and Wearable Devices
inferred← citeshttps://doi.org/10.1109/cpem.2010.5543224openalex-snapshot
Integrating dynamic Bayesian networks and constraint-based fuzzy models for myocardial infarction classification with 12-lead ECGS
inferred← citeshttps://doi.org/10.1109/cvpr.1999.784983openalex-snapshot
Time-series classification using mixed-state dynamic Bayesian networks
showing the first 200 of 468 · page through all 468
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.