Diego Carrera
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View article: Adaptive Extended Kalman Filtering for Battery State of Charge Estimation on STM32
Adaptive Extended Kalman Filtering for Battery State of Charge Estimation on STM32 Open
Accurate and computationally light algorithms for estimating the State of Charge (SoC) of a batterys cells are crucial for effective battery management on embedded systems. In this letter, we propose an Adaptive Extended Kalman Filter (AEK…
View article: Composite convolution: A flexible operator for deep learning on 3D point clouds
Composite convolution: A flexible operator for deep learning on 3D point clouds Open
Deep neural networks require specific layers to process point clouds, as the scattered and irregular location of 3D points prevents the use of conventional convolutional filters. We introduce the composite layer, a flexible and general alt…
View article: Multimodal Batch-Wise Change Detection
Multimodal Batch-Wise Change Detection Open
We address the problem of detecting distribution changes in a novel batch-wise and multimodal setup. This setup is characterized by a stationary condition where batches are drawn from potentially different modalities among a set of distrib…
View article: On-Device Personalization for Human Activity Recognition on STM32
On-Device Personalization for Human Activity Recognition on STM32 Open
Human activity recognition (HAR) is one of the most interesting application for machine learning models running on low-cost and low-power devices, such as microcontrollers (MCUs). As a matter of fact, MCUs are often dedicated to performing…
View article: Composite Convolution: a Flexible Operator for Deep Learning on 3D Point Clouds
Composite Convolution: a Flexible Operator for Deep Learning on 3D Point Clouds Open
Deep neural networks require specific layers to process point clouds, as the scattered and irregular location of 3D points prevents the use of conventional convolutional filters. We introduce the composite layer, a flexible and general alt…
View article: Continuous Tissue Plasminogen Activator Infusion Using a Minimally Invasive Irrigating Catheter for the Treatment of Intraparenchymal Hemorrhage Within the Basal Ganglia: Case Reports
Continuous Tissue Plasminogen Activator Infusion Using a Minimally Invasive Irrigating Catheter for the Treatment of Intraparenchymal Hemorrhage Within the Basal Ganglia: Case Reports Open
BACKGROUND AND IMPORTANCE: Intraparenchymal hemorrhage (IPH) is a debilitating and highly morbid type of stroke with limited effective treatment modalities. Minimally invasive evacuation with tissue plasminogen activator (rt-PA) has demons…
View article: Profiled side channel attacks against the RSA cryptosystem using neural networks
Profiled side channel attacks against the RSA cryptosystem using neural networks Open
View article: Nonparametric and Online Change Detection in Multivariate Datastreams Using QuantTree
Nonparametric and Online Change Detection in Multivariate Datastreams Using QuantTree Open
We address the problem of online change detection in multivariate\ndatastreams, and we introduce QuantTree Exponentially Weighted Moving Average\n(QT-EWMA), a nonparametric change-detection algorithm that can control the\nexpected time bef…
View article: Deep open-set recognition for silicon wafer production monitoring
Deep open-set recognition for silicon wafer production monitoring Open
View article: Exploiting History Data for Nonstationary Multi-armed Bandit
Exploiting History Data for Nonstationary Multi-armed Bandit Open
View article: Profiled Attacks Against the Elliptic Curve Scalar Point Multiplication Using Neural Networks
Profiled Attacks Against the Elliptic Curve Scalar Point Multiplication Using Neural Networks Open
View article: Change Detection in Multivariate Datastreams Controlling False Alarms
Change Detection in Multivariate Datastreams Controlling False Alarms Open
View article: Strengthening Sequential Side-Channel Attacks Through Change Detection
Strengthening Sequential Side-Channel Attacks Through Change Detection Open
The sequential structure of some side-channel attacks makes them subject to error propagation, i.e. when an error occurs during the recovery of some part of a secret key, all the following guesses might as well be chosen randomly. We propo…
View article: Strengthening Sequential Side-Channel Attacks Through Change Detection
Strengthening Sequential Side-Channel Attacks Through Change Detection Open
The sequential structure of some side-channel attacks makes them subject to error propagation, i.e. when an error occurs during the recovery of some part of a secret key, all the following guesses might as well be chosen randomly. We propo…
View article: Augmented Grad-CAM: Heat-Maps Super Resolution Through Augmentation
Augmented Grad-CAM: Heat-Maps Super Resolution Through Augmentation Open
We present Augmented Grad-CAM, a general framework to provide a high-resolution visual explanation of CNN outputs. Our idea is to take advantage of image augmentation to aggregate multiple low-resolution heat-maps - in our experiments Grad…
View article: Learning and Adaptation to Detect Changes and Anomalies in High-Dimensional Data
Learning and Adaptation to Detect Changes and Anomalies in High-Dimensional Data Open
The problem of monitoring a datastream and detecting whether the data generating process changes from normal to novel and possibly anomalous conditions has relevant applications in many real scenarios, such as health monitoring and quality…
View article: Development of a shape specification based on the waviness parameter of tapered roller bearing
Development of a shape specification based on the waviness parameter of tapered roller bearing Open
Tapered roller bearings can accommodate high radial loads as well as high axial loads. The manufacturing process consists of rings machining processes and components assembly, followed by an intense quality control. In this contribution, a…
View article: Online anomaly detection for long-term ECG monitoring using wearable devices
Online anomaly detection for long-term ECG monitoring using wearable devices Open
View article: A Wearable Device for Online and Long-Term ECG Monitoring
A Wearable Device for Online and Long-Term ECG Monitoring Open
We present a prototype wearable device able to perform online and long-term monitoring of ECG signals, and detect anomalous heartbeats such as arrhythmias. Our solution is based on user-specific dictionaries which characterizes the morphol…
View article: Sparse Overcomplete Denoising: Aggregation Versus Global Optimization
Sparse Overcomplete Denoising: Aggregation Versus Global Optimization Open
Denoising is often addressed via sparse coding with respect to an overcomplete dictionary. There are two main approaches when the dictionary is composed of translates of an orthonormal basis. The first, traditionally employed by techniques…
View article: Defect Detection in SEM Images of Nanofibrous Materials
Defect Detection in SEM Images of Nanofibrous Materials Open
Nanoproducts represent a potential growing sector and nanofibrous materials are widely requested in industrial, medical, and environmental applications. Unfortunately, the production processes at the nanoscale are difficult to control and …
View article: Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss
Change Detection in Multivariate Datastreams: Likelihood and Detectability Loss Open
We address the problem of detecting changes in multivariate datastreams, and we investigate the intrinsic difficulty that change-detection methods have to face when the data dimension scales. In particular, we consider a general approach w…
View article: Change Detection in Multivariate Datastreams: Likelihood and\n Detectability Loss
Change Detection in Multivariate Datastreams: Likelihood and\n Detectability Loss Open
We address the problem of detecting changes in multivariate datastreams, and\nwe investigate the intrinsic difficulty that change-detection methods have to\nface when the data dimension scales. In particular, we consider a general\napproac…
View article: Block-sparsity-based localization in wireless sensor networks
Block-sparsity-based localization in wireless sensor networks Open
In this paper, we deal with the localization problem in wireless sensor networks, where a target sensor location must be estimated starting from few measurements of the power present in a radio signal received from sensors with known locat…