Alex Marchioni

Orcid: 0000-0002-3441-3634

According to our database1, Alex Marchioni authored at least 27 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Anomaly Detection Based on Compressed Data: An Information Theoretic Characterization.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024

2023
Streaming Algorithms for Subspace Analysis: Comparative Review and Implementation on IoT Devices.
IEEE Internet Things J., July, 2023

Autoencoder-Based Features Extraction for the Health Monitoring in the Space domain.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Structured Pruning in Deep Neural Networks with Trainable Probability Masks.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Second-Order Statistic Deviation to Model Anomalies in the Design of Unsupervised Detectors.
Proceedings of the IEEE International Conference on Acoustics, 2023

Adapted Compressed Sensing with Incremental Encoder and Deep Performance Predictor for Low-Power Sensor Node Design.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2022
A Deep Learning Method for Optimal Undersampling Patterns and Image Recovery for MRI Exploiting Losses and Projections.
IEEE J. Sel. Top. Signal Process., 2022

Binary Compressed Sensing of ECG by Neural Matrix Optimization and Support Oracle.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

Training Binary Layers by Self-Shrinking of Sigmoid Slope: Application to Fast MRI Acquisition.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021
Embedded Streaming Principal Components Analysis for Network Load Reduction in Structural Health Monitoring.
IEEE Internet Things J., 2021

An MCU Implementation of PCA/PSA Streaming Algorithms for EEG Features Extraction.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021

2020
Deep Neural Oracles for Short-Window Optimized Compressed Sensing of Biosignals.
IEEE Trans. Biomed. Circuits Syst., 2020

Subspace Energy Monitoring for Anomaly Detection @Sensor or @Edge.
IEEE Internet Things J., 2020

Deep Neural Oracle With Support Identification in the Compressed Domain.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Low-Power Fixed-Point Compressed Sensing Decoder with Support Oracle.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Low-power ECG acquisition by Compressed Sensing with Deep Neural Oracles.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019
Chained Compressed Sensing: A Blockchain-Inspired Approach for Low-Cost Security in IoT Sensing.
IEEE Internet Things J., 2019

A High-level Implementation Framework for Non-Recurrent Artificial Neural Networks on FPGA.
Proceedings of the 15th Conference on Ph.D. Research in Microelectronics and Electronics, 2019

Chained Compressed Sensing for Iot Node Security.
Proceedings of the IEEE International Conference on Acoustics, 2019

Embedding principal component analysis for data reduction in structural health monitoring on low-cost IoT gateways.
Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

2018
Administering Quality-Energy Trade-Off in IoT Sensing Applications by Means of Adapted Compressed Sensing.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Projected-Gradient-Descent in Rakeness-Based Compressed Sensing with Disturbance Rejection.
Proceedings of the 2018 New Generation of CAS, 2018

Resource Redistribution in Internet of Things applications by Compressed Sensing: A Survey.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Disturbance Rejection With Rakeness-based Compressed Sensing: Method and Application to Baseline/Powerline Mitigation in ECGs.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Rakeness-based Compressed Sensing of Surface ElectroMyoGraphy for Improved Hand Movement Recognition in the Compressed Domain.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2017
Low-complexity greedy algorithm in compressed sensing for the adapted decoding of ECGs.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

Sparse sensing matrix based compressed sensing in low-power ECG sensor nodes.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017


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