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04/04/2023
Machine Learning Discovery of Optimal Quadrature Rules for Isogeometric Analysis
We propose the use of machine learning techniques to find optimal quadra...
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03/26/2023
Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing
Epilepsy is a chronic neurological disorder with a significant prevalenc...
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02/21/2023
Importance of methodological choices in data manipulation for validating epileptic seizure detection models
Epilepsy is a chronic neurological disorder that affects a significant p...
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09/09/2022
A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification
Cough audio signal classification is a potentially useful tool in screen...
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06/09/2022
HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration
HyperDimensional Computing (HDC) as a machine learning paradigm is highl...
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05/16/2022
Hyperdimensional computing encoding for feature selection on the use case of epileptic seizure detection
The healthcare landscape is moving from the reactive interventions focus...
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01/24/2022
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection
Wearable and unobtrusive monitoring and prediction of epileptic seizures...
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12/08/2021
Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise
Objective: Continuous monitoring of biosignals via wearable sensors has ...
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11/16/2021
Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection
Long-term monitoring of patients with epilepsy presents a challenging pr...
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05/03/2021
Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection
Hyperdimensional computing is a promising novel paradigm for low-power e...
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12/22/2020
Interpreting Deep Learning Models for Epileptic Seizure Detection on EEG signals
While Deep Learning (DL) is often considered the state-of-the art for Ar...
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09/24/2020
The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms
Cough audio signal classification has been successfully used to diagnose...
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03/17/2020
Construe: a software solution for the explanation-based interpretation of time series
This paper presents a software implementation of a general framework for...
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02/16/2018
Abductive reasoning as the basis to reproduce expert criteria in ECG Atrial Fibrillation identification
Objective: This work aims at providing a new method for the automatic de...
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11/10/2017
Arrhythmia Classification from the Abductive Interpretation of Short Single-Lead ECG Records
In this work we propose a new method for the rhythm classification of sh...
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09/19/2016