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Showing 5001–5050 of 9169 papers

TitleStatusHype
Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading—0
Using generalized additive models to decompose time series and waveforms, and dissect heart-lung interaction physiologyCode0
Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets—0
DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting—0
Hankel low-rank approximation and completion in time series analysis and forecasting: a brief review—0
Fault Diagnosis of Inter-turn Short Circuit in Permanent Magnet Synchronous Motors with Current Signal Imaging and Unsupervised Learning—0
Exploring Predictive States via Cantor Embeddings and Wasserstein Distance—0
It's a super deal -- train recurrent network on noisy data and get smooth prediction free—0
Classification of Stochastic Processes with Topological Data Analysis—0
Multivariate backtests and copulas for risk evaluation—0
Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection—0
Spatial-Temporal Adaptive Graph Convolution with Attention Network for Traffic Forecasting—0
On the balance between the training time and interpretability of neural ODE for time series modelling—0
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data—0
Using Connectome Features to Constrain Echo State Networks—0
Interpretable Mixture of Experts—0
DDPG based on multi-scale strokes for financial time series trading strategy—0
Geodesic Properties of a Generalized Wasserstein Embedding for Time Series Analysis—0
Forecasting the production of Distillate Fuel Oil Refinery and Propane Blender net production by using Time Series Algorithms—0
Constraints on parameter choices for successful reservoir computing—0
Human Activity Recognition on Time Series Accelerometer Sensor Data using LSTM Recurrent Neural Networks—0
Generating Sparse Counterfactual Explanations For Multivariate Time SeriesCode0
Learning code summarization from a small and local dataset—0
SolarGAN: Synthetic Annual Solar Irradiance Time Series on Urban Building Facades via Deep Generative Networks—0
Sentiment Analysis of Homeric Text: The 1st Book of Iliad—0
Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction—0
Visualizing Parliamentary Speeches as Networks: the DYLEN Tool—0
Data Imputation for Multivariate Time Series Sensor Data with Large Gaps of Missing DataCode0
A novel approach to rating transition modelling via Machine Learning and SDEs on Lie groupsCode0
VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting—0
Robust Projection based Anomaly Extraction (RPE) in Univariate Time-Series—0
Temporal Multiresolution Graph Neural Networks For Epidemic PredictionCode0
A Review and Evaluation of Elastic Distance Functions for Time Series Clustering—0
FEW SHOT CROP MAPPING USING TRANSFORMERS AND TRANSFER LEARNING WITH SENTINEL-2 TIME SERIES: CASE OF KAIROUAN TUNISIA—0
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasksCode0
CHALLENGER: Training with Attribution Maps—0
Finding Patterns in Visualized Data by Adding Redundant Visual Information—0
Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering—0
Towards a Design Framework for TNN-Based Neuromorphic Sensory Processing Units—0
Deep Generators on Commodity Markets; application to Deep Hedging—0
Self-supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets—0
Topological Hidden Markov Models—0
Conformal Prediction Intervals with Temporal DependenceCode0
TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time SeriesCode0
Towards Symbolic Time Series Representation Improved by Kernel Density Estimators—0
Analytics of Business Time Series Using Machine Learning and Bayesian Inference—0
UMSNet: An Universal Multi-sensor Network for Human Activity Recognition—0
FreDo: Frequency Domain-based Long-Term Time Series Forecasting—0
Forecasting Multilinear Data via Transform-Based Tensor Autoregression—0
Accelerating hydrodynamic simulations of urban drainage systems with physics-guided machine learning—0
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