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Showing 8251–8300 of 9169 papers

TitleStatusHype
Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics—0
Data Augmentation of Multivariate Sensor Time Series using Autoregressive Models and Application to Failure Prognostics—0
Improved Predictive Deep Temporal Neural Networks with Trend Filtering—0
Improved Prediction and Network Estimation Using the Monotone Single Index Multi-variate Autoregressive Model—0
Improved PAC-Bayesian Bounds for Linear Regression—0
Data Augmentation in Time Series Forecasting through Inverted Framework—0
Data Augmentation for Traffic Classification—0
Analysis and FPGA based Implementation of Permutation Binary Neural Networks—0
A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models—0
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants—0
Improved Modeling of Complex Systems Using Hybrid Physics/Machine Learning/Stochastic Models—0
Improved Grey System Models for Predicting Traffic Parameters—0
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey—0
Improved graph-based SFA: Information preservation complements the slowness principle—0
Improved Genetic Algorithm Based on Greedy and Simulated Annealing Ideas for Vascular Robot Ordering Strategy—0
Data Augmentation for Multivariate Time Series Classification: An Experimental Study—0
A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors—0
Improved FRQI on superconducting processors and its restrictions in the NISQ era—0
Improved Dynamic Time Warping (DTW) Approach for Online Signature Verification—0
Data Anomaly Detection for Structural Health Monitoring of Bridges using Shapelet Transform—0
Improved Batching Strategy For Irregular Time-Series ODE—0
Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach—0
Darts: User-Friendly Modern Machine Learning for Time Series—0
A Time-Series Distribution Test System Based on Real Utility Data—0
Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models—0
Imposing Connectome-Derived Topology on an Echo State Network—0
Importance attribution in neural networks by means of persistence landscapes of time series—0
DANTE: A framework for mining and monitoring darknet traffic—0
Implicit Reasoning in Deep Time Series Forecasting—0
DANNTe: a case study of a turbo-machinery sensor virtualization under domain shift—0
A time series distance measure for efficient clustering of input output signals by their underlying dynamics—0
Implications of Mortality Displacement for Effect Modification and Selection Bias—0
Implementing a new fully stepwise decomposition-based sampling technique for the hybrid water level forecasting model in real-world application—0
DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting—0
A Time-Series Data Augmentation Model through Diffusion and Transformer Integration—0
Analysis and development of an automatic eCall for motorcycles: a one-class cepstrum approach—0
Implementing a GRU Neural Network for Flood Prediction in Ashland City, Tennessee—0
Impact of the COVID-19 pandemic on the financial market efficiency of price returns, absolute returns, and volatility increment: Evidence from stock and cryptocurrency markets—0
DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity—0
Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection—0
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting—0
A Time Series Data Analysis of Indian Commercial Dynamism—0
Impact of noise on a dynamical system: prediction and uncertainties from a swarm-optimized neural network—0
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection—0
DAM: Towards A Foundation Model for Time Series Forecasting—0
Impact of Data Normalization on Deep Neural Network for Time Series Forecasting—0
Impact analysis of recovery cases due to COVID19 using LSTM deep learning model—0
A Time Series Approach To Player Churn and Conversion in Videogames—0
Analysing the resilience of the European commodity production system with PyResPro, the Python Production Resilience package—0
I miss you babe: Analyzing Emotion Dynamics During COVID-19 Pandemic—0
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