Image de couverture de livre

Advancing multivariate time series similarity assessment: an integrated computational approach

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tonle, Franck, Tonnang, Henri, Ndadji, Milliam, Tchendji, Maurice, Nzeukou, Armand, Senagi, Kennedy, Niassy, Saliou
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Language and Methodology based on Scenarios, Grammars and Views, for Administrative Business Processes Modelling
par: Ndadji, Milliam Maxime Zekeng, et autres
Publié: (2020)

Source-Code Analysis of iFogSim for Simulating Distributed IoT Architectures: Coverage, Challenges, and Enhancements
par: Ndadji, Milliam Maxime Zekeng
Publié: (2026)

Wasserstein multivariate auto-regressive models for modeling distributional time series
par: Jiang, Yiye, et autres
Publié: (2022)

LDTC: Lifelong deep temporal clustering for multivariate time series
par: Wang, Zhi, et autres
Publié: (2026)

RED CoMETS: An ensemble classifier for symbolically represented multivariate time series
par: Bennett, Luca A., et autres
Publié: (2023)

Predicting machine failures from multivariate time series: an industrial case study
par: Vago, Nicolò Oreste Pinciroli, et autres
Publié: (2024)

HadamRNN: Binary and Sparse Ternary Orthogonal RNNs
par: Foucault, Armand, et autres
Publié: (2025)

Towards efficient deep autoencoders for multivariate time series anomaly detection
par: Pietroń, Marcin, et autres
Publié: (2024)

Robust fuzzy clustering for high-dimensional multivariate time series with outlier detection
par: Ma, Ziling, et autres
Publié: (2025)

The impact of data set similarity and diversity on transfer learning success in time series forecasting
par: Ehrig, Claudia, et autres
Publié: (2024)

BiHDTrans: binary hyperdimensional transformer for efficient multivariate time series classification
par: Zhang, Jingtao, et autres
Publié: (2025)

Pi-transformer: A prior-informed dual-attention model for multivariate time-series anomaly detection
par: Maleki, Sepehr, et autres
Publié: (2025)

S4M: S4 for multivariate time series forecasting with Missing values
par: Peng, Jing, et autres
Publié: (2025)

Temporal cross-validation impacts multivariate time series subsequence anomaly detection evaluation
par: Hespeler, Steven C., et autres
Publié: (2025)

Multipopulation mortality modelling and forecasting: The multivariate functional principal component with time weightings approaches
par: Lam, Ka Kin, et autres
Publié: (2021)

Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data
par: Rani, Jyoti, et autres
Publié: (2024)

Conditional independence testing with a single realization of a multivariate nonstationary nonlinear time series
par: Wieck-Sosa, Michael, et autres
Publié: (2025)

PRISM: A hierarchical multiscale approach for time series forecasting
par: Chen, Zihao, et autres
Publié: (2025)

Quantized Approximately Orthogonal Recurrent Neural Networks
par: Foucault, Armand, et autres
Publié: (2024)

Comparative study of clustering models for multivariate time series from connected medical devices
par: Courrier, Violaine, et autres
Publié: (2023)

Advancing time series completion via RFAMoE and MDFF
par: Zhang, Ci, et autres
Publié: (2025)

Proposal and study of statistical features for string similarity computation and classification
par: Rodrigues, E. O., et autres
Publié: (2026)

Layer-wise LoRA fine-tuning: a similarity metric approach
par: Ogawa, Keith Ando, et autres
Publié: (2026)

Online high-precision prediction method for injection molding product weight by integrating time series/non-time series mixed features and feature attention mechanism
par: Li, Maoyuan, et autres
Publié: (2025)

Quantum reservoir computing in Jaynes-Cummings models: Nonlinear memory and time-series prediction
par: Das, Sreetama, et autres
Publié: (2025)

Oscillations enhance time-series prediction in reservoir computing with feedback
par: Kawai, Yuji, et autres
Publié: (2024)

Drought forecasting using a hybrid neural architecture for integrating time series and static data
par: Agudelo, Julian, et autres
Publié: (2025)

Sensorformer: Cross-patch attention with global-patch compression is effective for high-dimensional multivariate time series forecasting
par: Qin, Liyang, et autres
Publié: (2025)

Unsupervised learning for structure detection in plastically deformed crystals
par: Barbot, Armand, et autres
Publié: (2022)

Asymmetrical Latent Representation for Individual Treatment Effect Modeling
par: Lacombe, Armand, et autres
Publié: (2025)

Statistical description and dimension reduction of continuous time categorical trajectories with multivariate functional principal components
par: Cardot, Hervé, et autres
Publié: (2025)

Show Me What You Don't Know: Efficient Sampling from Invariant Sets for Model Validation
par: Rousselot, Armand, et autres
Publié: (2026)

A system identification approach to clustering vector autoregressive time series
par: Yue, Zuogong, et autres
Publié: (2025)

Generative climate downscaling enables high-resolution compound risk assessment by preserving multivariate dependencies
par: Kutsuna, Takuro, et autres
Publié: (2026)

A tensor network approach for chaotic time series prediction
par: Martínez-Peña, Rodrigo, et autres
Publié: (2025)

Exploring approaches to computational representation and classification of user-generated meal logs
par: Hu, Guanlan, et autres
Publié: (2025)

Reducing the labeling burden in time-series mapping using Common Ground: a semi-automated approach to tracking changes in land cover and species over time
par: Singh, Geethen, et autres
Publié: (2026)

Hybrid Autoencoder-Isolation Forest approach for time series anomaly detection in C70XP cyclotron operation data at ARRONAX
par: Basbous, F, et autres
Publié: (2026)

On time series clustering with k-means
par: Holder, Christopher, et autres
Publié: (2024)

Semantic similarity prediction is better than other semantic similarity measures
par: Herbold, Steffen
Publié: (2023)