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Graph-Based Multiobject Tracking with Embedded Particle Flow
Seamless situational awareness provided by modern radar systems relies o...
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POLA: Online Time Series Prediction by Adaptive Learning Rates
Online prediction for streaming time series data has practical use for m...
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Robust Domain-Free Domain Generalization with Class-aware Alignment
While deep neural networks demonstrate state-of-the-art performance on a...
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Conformance Checking for a Medical Training Process Using Petri net Simulation and Sequence Alignment
Process Mining has recently gained popularity in healthcare due to its p...
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Hierarchical Adaptive Lasso: Learning Sparse Neural Networks with Shrinkage via Single Stage Training
Deep neural networks achieve state-of-the-art performance in a variety o...
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Modeling Nonlinear Growth Followed by Long-Memory Equilibrium with Unknown Change Point
Measurements of many biological processes are characterized by an initia...
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CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context
Learning accurate models of the physical world is required for a lot of ...
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Multi-label Prediction in Time Series Data using Deep Neural Networks
This paper addresses a multi-label predictive fault classification probl...
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Toward Intelligent Network Optimization in Wireless Networking: An Auto-learning Framework
In wireless communication systems (WCSs), the network optimization probl...
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ABACUS: Unsupervised Multivariate Change Detection via Bayesian Source Separation
Change detection involves segmenting sequential data such that observati...
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Financial Forecasting and Analysis for Low-Wage Workers
Despite the plethora of financial services and products on the market no...
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Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition
Accurate and computationally efficient means for classifying human activ...
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