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Showing 7351–7400 of 9169 papers

TitleStatusHype
A Single Scalable LSTM Model for Short-Term Forecasting of Disaggregated Electricity Loads—0
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI—0
ODE guided Neural Data Augmentation Techniques for Time Series Data and its Benefits on Robustness—0
Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural NetworkCode0
Adaptive Transfer Learning of Multi-View Time Series Classification—0
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainabilityCode0
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems—0
Decoding Working Memory Load from EEG with LSTM Networks—0
Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification—0
Classification of Resting-State fMRI using Evolutionary Algorithms: Towards a Brain Imaging Biomarker for Parkinson's Disease—0
The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos?—0
Evolving Gaussian Process kernels from elementary mathematical expressions—0
Predicting dynamical system evolution with residual neural networks—0
Graph Spectral Embedding for Parsimonious Transmission of Multivariate Time Series—0
Phase space reconstruction from a biological time series. A PhotoPlethysmoGraphic signal a case study—0
On Computational Complexity Reduction Methods for Kalman Filter Extensions—0
Time series classification for varying length series—0
The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth MeasureCode0
A Joint Model for IT Operation Series Prediction and Anomaly Detection—0
Probabilistic sequential matrix factorizationCode0
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies—0
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula ProcessesCode0
Unsupervised Representation for EHR Signals and Codes as Patient Status Vector—0
On the Duality between Network Flows and Network Lasso—0
The Sparse Reverse of Principal Component Analysis for Fast Low-Rank Matrix Completion—0
DPSOM: Deep Probabilistic Clustering with Self-Organizing MapsCode0
The Neural Moving Average Model for Scalable Variational Inference of State Space ModelsCode0
Stationarity of the detrended price return in stock markets—0
Controlling Contents in Data-to-Document Generation with Human-Designed Topic Labels—0
End-to-end learning of energy-based representations for irregularly-sampled signals and imagesCode0
MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive—0
A data imputation method for multivariate time series based on generative adversarial network—0
Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open QuestionsCode0
Normalisation of Weights and Firing Rates in Spiking Neural Networks with Spike-Timing-Dependent Plasticity—0
A Video Recognition Method by using Adaptive Structural Learning of Long Short Term Memory based Deep Belief Network—0
Machine Learning vs Statistical Methods for Time Series Forecasting: Size MattersCode0
Set Functions for Time SeriesCode0
Stochastic Weight Matrix-based Regularization Methods for Deep Neural NetworksCode0
Data Smashing 2.0: Sequence Likelihood (SL) Divergence For Fast Time Series Comparison—0
Hierarchical Probabilistic Model for Blind Source Separation via Legendre TransformationCode0
Granger Causal Structure Reconstruction from Heterogeneous Multivariate Time Series—0
Continuous Convolutional Neural Network forNonuniform Time Series—0
COMBINED FLEXIBLE ACTIVATION FUNCTIONS FOR DEEP NEURAL NETWORKS—0
RISE and DISE: Two Frameworks for Learning from Time Series with Missing Data—0
Variational pSOM: Deep Probabilistic Clustering with Self-Organizing Maps—0
Explaining Time Series by Counterfactuals—0
CGT: Clustered Graph Transformer for Urban Spatio-temporal Prediction—0
The Dynamical Gaussian Process Latent Variable Model in the Longitudinal Scenario—0
Actor-Critic Approach for Temporal Predictive Clustering—0
Anomaly Detection Based on Unsupervised Disentangled Representation Learning in Combination with Manifold Learning—0
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