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Contrast Pattern Mining in Paired Multivariate Time Series of a Controlled Driving Behavior Experiment
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-74976-9openalex-snapshot
Knowledge Discovery in Databases: PKDD 2007
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MDL-based time series clustering
inferredcites →https://doi.org/10.1007/s10618-016-0455-0openalex-snapshot
Generalizing DTW to the multi-dimensional case requires an adaptive approach
inferredcites →https://doi.org/10.1016/j.conctc.2018.07.007openalex-snapshot
Design of an experimental protocol to examine medication non-adherence among young drivers diagnosed with ADHD: A driving simulator study
inferredcites →https://doi.org/10.1016/j.csda.2018.01.019openalex-snapshot
On constrained estimation of graphical time series models
inferredcites →https://doi.org/10.1016/j.patcog.2003.12.018openalex-snapshot
Time series clustering with ARMA mixtures
inferredcites →https://doi.org/10.1016/j.pec.2011.04.004openalex-snapshot
Patients’ satisfaction with information and experiences with counseling on cardiovascular medication received at the pharmacy
inferredcites →https://doi.org/10.1046/j.1461-0248.2003.00498.xopenalex-snapshot
Herbivores and the success of exotic plants: a phylogenetically controlled experiment
inferredcites →https://doi.org/10.1090/conm/001openalex-snapshot
Markov Random Fields and Their Applications
inferredcites →https://doi.org/10.1093/biomet/81.3.425openalex-snapshot
Ideal Spatial Adaptation by Wavelet Shrinkage
inferredcites →https://doi.org/10.1093/biostatistics/kxm045openalex-snapshot
Sparse inverse covariance estimation with the graphical lasso
inferredcites →https://doi.org/10.1109/79.543975openalex-snapshot
The expectation-maximization algorithm
inferredcites →https://doi.org/10.1109/icdm.2003.1250910openalex-snapshot
Clustering of time series subsequences is meaningless: implications for previous and future research
inferredcites →https://doi.org/10.1109/icdm.2018.00069openalex-snapshot
Incomplete Label Uncertainty Estimation for Petition Victory Prediction with Dynamic Features
inferredcites →https://doi.org/10.1109/icdm.2019.00146openalex-snapshot
Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior
inferredcites →https://doi.org/10.1109/itsc.2018.8569550openalex-snapshot
Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data
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/tits.2018.2836308openalex-snapshot
Driving Behavior Analysis through CAN Bus Data in an Uncontrolled Environment
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.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1137/1.9781611974973.61openalex-snapshot
Identifying Deep Contrasting Networks from Time Series Data: Application to Brain Network Analysis
inferredcites →https://doi.org/10.1145/1183614.1183666openalex-snapshot
In search of meaning for time series subsequence clustering
inferredcites →https://doi.org/10.1145/2783258.2783399openalex-snapshot
Deep Learning Architecture with Dynamically Programmed Layers for Brain Connectome Prediction
inferredcites →https://doi.org/10.1145/3097983.3098037openalex-snapshot
Network Inference via the Time-Varying Graphical Lasso
inferredcites →https://doi.org/10.1145/3097983.3098060openalex-snapshot
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data
inferredcites →https://doi.org/10.1145/3139958.3140017openalex-snapshot
A Uniform Representation for Trajectory Learning Tasks
inferredcites →https://doi.org/10.1145/3339823openalex-snapshot
Spatial Auto-regressive Dependency Interpretable Learning Based on Spatial Topological Constraints
inferredcites →https://doi.org/10.1145/3448016openalex-snapshot
Proceedings of the 2021 International Conference on Management of Data
inferredcites →https://doi.org/10.1214/11-aop734openalex-snapshot
Spectral statistics of Erdős–Rényi graphs I: Local semicircle law
inferredcites →https://doi.org/10.1214/aos/1176344136openalex-snapshot
Estimating the Dimension of a Model
inferredcites →https://doi.org/10.1561/2200000016openalex-snapshot
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
inferredcites →https://doi.org/10.2307/2532201openalex-snapshot
Model-Based Gaussian and Non-Gaussian Clustering
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117167openalex-snapshot
Detection of driver health condition by monitoring driving behavior through machine learning from observation
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122497openalex-snapshot
OUTO-Miner: Detecting outlying occurrences in maximal frequent order-preserving patterns in time series
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109710openalex-snapshot
Efficient mining of concept-hierarchy aware distinguishing sequential patterns
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126657openalex-snapshot
A multilevel adaptive reduction technique for time series
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129772openalex-snapshot
A new minimalist time series reduction technique
inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107711openalex-snapshot
CPM: A general feature dependency pattern mining framework for contrast multivariate time series
inferred← citeshttps://doi.org/10.1109/access.2021.3130400openalex-snapshot
Driving-Pattern Identification and Event Detection Based on an Unsupervised Learning Framework: Case of a Motorcycle-Riding Simulator
inferred← citeshttps://doi.org/10.1109/mdm55031.2022.00043openalex-snapshot
DriBe: on-Road Mobile Telemetry for Locality-Neutral Driving Behavior Annotation
inferred← citeshttps://doi.org/10.1109/percomworkshops53856.2022.9767397openalex-snapshot
Why Slammed the Brakes On? Auto-annotating Driving Behaviors from Adaptive Causal Modeling
inferred← citeshttps://doi.org/10.1109/tfuzz.2026.3721254openalex-snapshot
FNP-Miner: Fuzzy Three-Way Nonoverlapping Sequential Pattern Mining
inferred← citeshttps://doi.org/10.1109/tkde.2023.3241213openalex-snapshot
MCoR-Miner: Maximal Co-Occurrence Nonoverlapping Sequential Rule Mining
inferred← citeshttps://doi.org/10.1109/tkde.2023.3321749openalex-snapshot
COPP-Miner: Top-k Contrast Order-Preserving Pattern Mining for Time Series Classification
inferred← citeshttps://doi.org/10.1109/tkde.2023.3334300openalex-snapshot
RNP-Miner: Repetitive Nonoverlapping Sequential Pattern Mining
inferred← citeshttps://doi.org/10.1109/tkde.2024.3438274openalex-snapshot
OPF-Miner: Order-Preserving Pattern Mining With Forgetting Mechanism for Time Series
inferred← citeshttps://doi.org/10.1145/3549940openalex-snapshot
ONP-Miner: One-off Negative Sequential Pattern Mining
inferred← citeshttps://doi.org/10.1145/3658450openalex-snapshot
Co-occurrence Order-preserving Pattern Mining with Keypoint Alignment for Time Series
inferred← citeshttps://doi.org/10.3103/s0146411625700488openalex-snapshot
Load Balancing Algorithms for Comparative Pattern Mining
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