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01/30/2023
Deep networks for system identification: a Survey
Deep learning is a topic of considerable current interest. The availabil...
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12/21/2022
ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods
Objective: Imbalances of the electrolyte concentration levels in the bod...
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07/13/2022
On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG
Objective: Machine learning techniques have been used extensively for 12...
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05/25/2022
Surprises in adversarially-trained linear regression
State-of-the-art machine learning models can be vulnerable to very small...
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04/13/2022
Overparameterized Linear Regression under Adversarial Attacks
As machine learning models start to be used in critical applications, th...
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02/15/2021
How Convolutional Neural Networks Deal with Aliasing
The convolutional neural network (CNN) remains an essential tool in solv...
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12/11/2020
Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics
System identification aims to build models of dynamical systems from dat...
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12/08/2020
Deep Energy-Based NARX Models
This paper is directed towards the problem of learning nonlinear ARX mod...
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09/04/2019
Deep Convolutional Networks in System Identification
Recent developments within deep learning are relevant for nonlinear syst...
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07/23/2019
SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
SciPy is an open source scientific computing library for the Python prog...
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06/20/2019
The trade-off between long-term memory and smoothness for recurrent networks
Training recurrent neural networks (RNNs) that possess long-term memory ...
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05/02/2019
On the Smoothness of Nonlinear System Identification
New light is shed onto optimization problems resulting from prediction e...
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04/02/2019
Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study
We present a Deep Neural Network (DNN) model for predicting electrocardi...
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11/28/2018
Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network
We present a model for predicting electrocardiogram (ECG) abnormalities ...
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10/02/2017
