Alex Marchioni

Orcid: 0000-0002-3441-3634

According to our database¹, Alex Marchioni authored at least 33 papers between 2017 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Incremental Undersampling MRI Acquisition With Neural Self Assessment.

[BibT_eX]

[DOI]

Signal Process., 2025

2024

A General Framework for the Assessment of Detectors of Anomalies in Time Series.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, October, 2024

Anomaly Detection Based on Compressed Data: An Information Theoretic Characterization.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., January, 2024

Multi-class Similarity-based Approach for Remaining Useful Life Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

Anomaly Detection-Reconstruction Trade-Off in Autoencoder-Based Compression.

[BibT_eX]

[DOI]

Proceedings of the 32nd European Signal Processing Conference, 2024

SVD-based Peephole and Clustering to Enhance Trustworthiness in DNN Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

Enhancing Anomaly Detection with Entropy Regularization in Autoencoder-based Lightweight Compression.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

Streaming Algorithms for Subspace Analysis: Comparative Review and Implementation on IoT Devices.

[BibT_eX]

[DOI]

IEEE Internet Things J., July, 2023

Autoencoder-Based Features Extraction for the Health Monitoring in the Space domain.

[BibT_eX]

[DOI]

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Structured Pruning in Deep Neural Networks with Trainable Probability Masks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2022

Binary Compressed Sensing of ECG by Neural Matrix Optimization and Support Oracle.

[BibT_eX]

[DOI]

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

Training Binary Layers by Self-Shrinking of Sigmoid Slope: Application to Fast MRI Acquisition.

[BibT_eX]

[DOI]

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021

Embedded Streaming Principal Components Analysis for Network Load Reduction in Structural Health Monitoring.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

An MCU Implementation of PCA/PSA Streaming Algorithms for EEG Features Extraction.

[BibT_eX]

[DOI]

Proceedings of the IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, 2021

2020

Deep Neural Oracles for Short-Window Optimized Compressed Sensing of Biosignals.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Circuits Syst., 2020

Subspace Energy Monitoring for Anomaly Detection @Sensor or @Edge.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2020

Deep Neural Oracle With Support Identification in the Compressed Domain.

[BibT_eX]

[DOI]

IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Low-Power Fixed-Point Compressed Sensing Decoder with Support Oracle.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Low-power ECG acquisition by Compressed Sensing with Deep Neural Oracles.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2019

A High-level Implementation Framework for Non-Recurrent Artificial Neural Networks on FPGA.

[BibT_eX]

[DOI]

Proceedings of the 15th Conference on Ph.D. Research in Microelectronics and Electronics, 2019

Chained Compressed Sensing for Iot Node Security.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Projected-Gradient-Descent in Rakeness-Based Compressed Sensing with Disturbance Rejection.

[BibT_eX]

[DOI]

Proceedings of the 2018 New Generation of CAS, 2018

Resource Redistribution in Internet of Things applications by Compressed Sensing: A Survey.

[BibT_eX]

[DOI]

Alex Marchioni

Cesar H. Pimentel-Romero

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

Sparse sensing matrix based compressed sensing in low-power ECG sensor nodes.

[BibT_eX]

[DOI]

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

Alex Marchioni

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