L‐VISP: LSTM Visualization for Interpretable Symptom Prediction in Patient Cohorts
L‐VISP is a human‐machine solution that uses visual analytics for LSTM modelling in clinical research. L‐VISP uses custom visual encodings to make multiple LSTM variants interpretable, supporting a full range of analysis, from understanding model operations and evaluating performance to interpreting results in a clinical context.
C. Floricel +6 more
wiley +1 more source
Multimodal medical image reconstruction and organ-wise disease classification using a hybrid deep learning-Kalman filtering framework. [PDF]
Arif S.
europepmc +1 more source
Applying Dual-Kalman Filtering Algorithm to Radar Estimation Systems
[[abstract]]Target Maneuvering situations are usually occurred in radar target tracking systems. Tracking maneuvering targets in a radar system is complicated because it can not directly measure target accelerations.
Chung, Yi-Nung; Juang, D. J. ; Chuang, K. C.
core
Macroeconomic forecasting during recessions and expansions in the US and the euro area
Abstract This study systematically evaluates forecasting performance of 11 Dynamic Stochastic General Equilibrium (DSGE) and 2 Bayesian Vector Autoregression (BVAR) models during recessions and expansions in the US and the euro area. Results show that no single model dominates: parsimonious models perform well in stable periods and at short horizons ...
Jan Čapek +2 more
wiley +1 more source
A selective Kalman filtering approach to online neural network updating under system drift. [PDF]
Hammond JE +3 more
europepmc +1 more source
Design and real time implementation of nonlinear minimum variance filter
In this paper, the design and real time implementation of a Nonlinear Minimum Variance (NMV) estimator is presented using a laboratory based ball and beam system. The real time implementation employs a LabVIEW based tool. The novelty of this work lies in
Grimble, M.J., Naz, Shamser Ali
core
ABSTRACT To study variables that may trigger the dispersion of the currently expanding European catfish in its native distribution limits, 42 individuals were captured from Upper Lake Constance (lentic) and 42 from two streaming tributaries (lotic), fitted with pressure and temperature loggers, and released at the site of capture (control: lotic or ...
Albert Ros +4 more
wiley +1 more source
Integrating GAN-based machine learning with nonlinear Kalman filtering for enhanced state estimation. [PDF]
Tobaly L, Yaniv E, Zalevsky Z.
europepmc +1 more source
Discharge‐Targeted Hydraulic Tomography to Quantify and Locate Aquifer Discharge
Abstract Quantifying and localizing groundwater discharge is inherently difficult. It requires knowledge about hydraulic conductivity and the hydraulic gradient on the scale of interest. Conventional hydraulic testing, such as pumping tests, may fail in the presence of heterogeneity and complex structural boundaries.
Konstantin Drach +2 more
wiley +1 more source
Robust Real-Time Sperm Tracking with Identity Reassignment Using Extended Kalman Filtering. [PDF]
Hassani MG, Saadat M, Lei P.
europepmc +1 more source

