Burrello, A; Sintoni, G; Brunelli, D; Benini, L, Adversarially-Trained Tiny Autoencoders for Near-Sensor Continuous Structural Health Monitoring, in: IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, pp. 439 - 442 (atti di: AICAS, Korea, 2022) [Contributo in Atti di convegno]
Burrello, A; Morghet, FB; Scherer, M; Benatti, S; Benini, L; Maciii, E; Poncinot, M; Pagliarit, DJ, Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition, in: DATE 2022, 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, «PROCEEDINGS - DESIGN, AUTOMATION, AND TEST IN EUROPE CONFERENCE AND EXHIBITION», 2022, pp. 1443 - 1448 (atti di: DATE 22, Online, 2022) [Contributo in Atti di convegno]
Alessio Burrello; Daniele Jahier Pagliari; Pierangelo Maria Rapa; Matilde Semilia; Matteo Risso; Tommaso Polonelli; Massimo Poncino; Luca Benini; Simone Benatti, Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring, «ACM TRANSACTIONS ON COMPUTING FOR HEALTHCARE», 2022, 3, pp. 1 - 25 [articolo]
Amirhossein Moallemi; Alessio Burrello; Davide Brunelli; Luca Benini, Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring, «IEEE INTERNET OF THINGS JOURNAL», 2022, 9, pp. 17660 - 17674 [articolo]
Palossi D.; Zimmerman N.; Burrello A.; Conti F.; Muller H.; Gambardella L.M.; Benini L.; Giusti A.; Guzzi J., Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs, «IEEE INTERNET OF THINGS JOURNAL», 2022, 9, pp. 1913 - 1929 [articolo]
Daghero, F; Burrello, A; Xie, C; Castellano, M; Gandolfi, L; Calimera, A; Macii, E; Poncino, M; Pagliari, DJ, Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks, «ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS», 2022, 21, pp. 1 - 28 [articolo]
Risso, Matteo; Burrello, Alessio; Conti, Francesco; Lamberti, Lorenzo; Chen, Yukai; Benini, Luca; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele, Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge, «IEEE TRANSACTIONS ON COMPUTERS», 2022, 0, pp. 1 - 1 [articolo]
Daghero, F; Burrello, A; Xie, C; Benini, L; Calimera, A; Macii, E; Poncino, M; Pagliari, DJ, Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers, in: IFIP/IEEE International Conference on Very Large Scale Integration - System on a Chip, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, SPRINGER INTERNATIONAL PUBLISHING AG, «IFIP ADVANCES IN INFORMATION AND COMMUNICATION TECHNOLOGY», 2022, 661, pp. 25 - 47 (atti di: IFIP/IEEE International Conference on Very Large Scale Integration - System on a Chip, Online, 2021) [Contributo in Atti di convegno]
Risso M.; Burrello A.; Benini L.; MacIi E.; Poncino M.; Pagliari D.J., Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks, in: ISLPED '22: Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design, 2022, pp. 1 - 6 (atti di: ISLPED '22: Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design, Online, 1-9-2022) [Contributo in Atti di convegno]
Alessio Burrello; Giovanni Zara; Luca Benini; Davide Brunelli; Enrico Macii; Massimo Poncino; Daniele Jahier Pagliari, Traffic Load Estimation from Structural Health Monitoring sensors using supervised learning, «SUSTAINABLE COMPUTING», 2022, 35, pp. 100704 - 100719 [articolo]
Burrello A.; Scherer M.; Zanghieri M.; Conti F.; Benini L., A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes, in: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 6 (atti di: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, esp, 2021) [Contributo in Atti di convegno]
Daghero F.; Burrello A.; Xie C.; Benini L.; Calimera A.; MacIi E.; Poncino M.; Pagliari D.J., Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers, in: IEEE/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC, IEEE Computer Society, 2021, 2021-, pp. 1 - 6 (atti di: 29th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2021, sgp, 2021) [Contributo in Atti di convegno]
Burrello, Alessio; Benatti, Simone; Schindler, Kaspar Anton; Benini, Luca; Rahimi, Abbas, An Ensemble of Hyperdimensional Classifiers: Hardware-Friendly Short-Latency Seizure Detection with Automatic iEEG Electrode Selection, «IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS», 2021, 25, Article number: 9187540, pp. 935 - 946 [articolo]Open Access
Burrello, Alessio; Garofalo, Angelo; Bruschi, Nazareno; Tagliavini, Giuseppe; Rossi, Davide; Conti, Francesco, DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs, «IEEE TRANSACTIONS ON COMPUTERS», 2021, 70, pp. 1253 - 1268 [articolo]Open Access
Zanatta L.; Barchi F.; Burrello A.; Bartolini A.; Brunelli D.; Acquaviva A., Damage detection in structural health monitoring with spiking neural networks, in: 2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2021 - Proceedings, New York, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 105 - 110 (atti di: 2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2021, Virtual Conference, 2021) [Contributo in Atti di convegno]
