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Showing 7251–7300 of 9169 papers

TitleStatusHype
Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings—0
Research and application of time series algorithms in centralized purchasing data—0
LFZip: Lossy compression of multivariate floating-point time series data via improved predictionCode0
Identifying Predictive Causal Factors from News Streams—0
Detecting correlations and triangular arbitrage opportunities in the Forex by means of multifractal detrended cross-correlations analysis—0
Deep convolutional neural networks for multi-scale time-series classification and application to disruption prediction in fusion devicesCode0
Outliagnostics: Visualizing Temporal Discrepancy in Outlying Signatures of Data Entries—0
Convolutional Conditional Neural ProcessesCode0
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernelsCode3
Harnessing the power of Topological Data Analysis to detect change points in time seriesCode0
Large-Scale Characterization and Segmentation of Internet Path Delays with Infinite HMMsCode0
Deep Learning for Plasma Tomography and Disruption Prediction from Bolometer Data—0
Causal inference for climate change events from satellite image time series using computer vision and deep learning—0
Textual Data for Time Series Forecasting—0
Time Series Vector Autoregression Prediction of the Ecological Footprint based on Energy Parameters—0
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep StagingCode1
High dimensional regression for regenerative time-series: an application to road traffic modelingCode0
Inference of Binary Regime Models with Jump Discontinuities—0
Critical Transitions in Intensive Care Units: A Sepsis Case Study—0
Self-attention for raw optical Satellite Time Series ClassificationCode0
MLAT: Metric Learning for kNN in Streaming Time Series—0
Wasserstein total variation filtering—0
Winning the ICCV 2019 Learning to Drive Challenge—0
Study of the impact of climate change on precipitation in Paris area using method based on iterative multiscale dynamic time warping (IMS-DTW)—0
Order patterns, their variation and change points in financial time series and Brownian motion—0
Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community—0
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems—0
You May Not Need Order in Time Series Forecasting—0
Generalised learning of time-series: Ornstein-Uhlenbeck processes—0
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis—0
Coupling Oceanic Observation Systems to Study Mesoscale Ocean DynamicsCode0
Temporal Network Sampling—0
Forecasting under Long Memory and Nonstationarity—0
Scalable Gradients and Variational Inference for Stochastic Differential Equations—0
Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models—0
Variationally Inferred Sampling Through a Refined BoundCode0
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
Bayesian Temporal Factorization for Multidimensional Time Series PredictionCode2
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
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