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Showing 7251–7300 of 9169 papers

TitleStatusHype
Sensor data-driven analysis for identification of causal relationships between exposure to air pollution and respiratory rate in asthmatics—0
IRMAC: Interpretable Refined Motifs in Binary Classification for Smart Grid Applications—0
Investigation on the use of Hidden-Markov Models in automatic transcription of music—0
Sensor selection on graphs via data-driven node sub-sampling in network time series—0
Investigation of Flash Crash via Topological Data Analysis—0
Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning—0
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series—0
Sentiment-driven prediction of financial returns: a Bayesian-enhanced FinBERT approach—0
Autoencoding Conditional GAN for Portfolio Allocation Diversification—0
Analyzing the Impact of Financial Inclusion on Economic Growth in Bangladesh—0
Investigating the impact of autocorrelation on time-varying connectivity—0
Deep-dust: Predicting concentrations of fine dust in Seoul using LSTM—0
Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification: A survey—0
Investigating Sindy As a Tool For Causal Discovery In Time Series Signals—0
DeepDPM: Dynamic Population Mapping via Deep Neural Network—0
Investigating Market Strength Prediction with CNNs on Candlestick Chart Images—0
Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences—0
Sequence Prediction Under Missing Data : An RNN Approach Without Imputation—0
Sequence Summarization Using Order-constrained Kernelized Feature Subspaces—0
Sequence to sequence deep learning models for solar irradiation forecasting—0
Deep Double Descent for Time Series Forecasting: Avoiding Undertrained Models—0
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions—0
Sequential convolutional network for behavioral pattern extraction in gait recognition—0
Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains—0
Investigating echo state networks dynamics by means of recurrence analysis—0
Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices—0
Autoencoder-based time series clustering with energy applications—0
A Dictionary-based approach to Time Series Ordinal Classification—0
Investigating Deep Neural Network Architecture and Feature Extraction Designs for Sensor-based Human Activity Recognition—0
Investigating Compositional Reasoning in Time Series Foundation Models—0
Inverse Moment Methods for Sufficient Forecasting using High-Dimensional Predictors—0
Deep Directed Information-Based Learning for Privacy-Preserving Smart Meter Data Release—0
Long Short-Term Memory Neural Networks for False Information Attack Detection in Software-Defined In-Vehicle Network—0
Sequential visibility-graph motifs—0
Invariants of multidimensional time series based on their iterated-integral signature—0
Invariant Factorization Of Time-Series—0
Adversarial Attacks on Time-Series Intrusion Detection for Industrial Control Systems—0
Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data—0
AutoCTS: Automated Correlated Time Series Forecasting -- Extended Version—0
Series-to-Series Diffusion Bridge Model—0
Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning—0
Market-Based Price Autocorrelation—0
Introduction of L0 norm and application of L1 and C1 norm in the study of time-series—0
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks—0
Deep Decomposition for Stochastic Normal-Abnormal Transport—0
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models—0
SFFDD: Deep Neural Network with Enriched Features for Failure Prediction with Its Application to Computer Disk Driver—0
SGRU: A High-Performance Structured Gated Recurrent Unit for Traffic Flow Prediction—0
Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting—0
Introducing Hybrid Modeling with Time-series-Transformers: A Comparative Study of Series and Parallel Approach in Batch Crystallization—0
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