Vostrikov, S; Cossettini, A; Leitner, C; Baumgartner, C; Benini, L, AEPUS: a tool for the Automated Extraction of Pennation angles in Ultrasound images with low Signal-to-noise ratio for plane-wave imaging, in: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), «IEEE ENGINEERING IN MEDICINE AND BIOLOGY ... ANNUAL CONFERENCE PROCEEDINGS», 2022, 2022, pp. 1520 - 1526 (atti di: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Glasgow, Scotland, United Kingdom, 11 - 15 July 2022) [Contributo in Atti di convegno]
Polonelli T.; Deparday J.; Muller H.; Fischer R.; Benini L.; Barber S.; Magno M., Aerosense: Long-Range Bluetooth Wireless Sensor Node for Aerodynamic Monitoring on Wind Turbine Blades, «JOURNAL OF PHYSICS. CONFERENCE SERIES», 2022, 2265, Article number: 022074, pp. 1 - 11 [articolo]Open Access
Liao, JW; Widmer, L; Wang, XY; Di Mauro, A; Nason-Tomaszewski, SR; Chestek, CA; Benini, L; Jang, T, An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface, in: 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, pp. 134 - 137 (atti di: 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), Incheon, Korea Republic of, 13-15 June) [Contributo in Atti di convegno]
Polonelli, Tommaso; Magno, Michele; Niculescu, Vlad; Benini, Luca; Boyle, David, An open platform for efficient drone-to-sensor wireless ranging and data harvesting, «SUSTAINABLE COMPUTING», 2022, 35, Article number: 100734, pp. 1 - 10 [articolo]Open Access
Molan, M; Borghesi, A; Benini, L; Bartolini, A, Analysing Supercomputer Nodes Behaviour with the Latent Representation of Deep Learning Models, in: Euro-Par 2022: Parallel Processing. Euro-Par 2022. Lecture Notes in Computer Science, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, SPRINGER INTERNATIONAL PUBLISHING AG, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 2022, 13440, pp. 171 - 185 (atti di: Euro-Par 2022: Parallel Processing, Glasgow, 22-26 Agosto 2022) [Contributo in Atti di convegno]Open Access
Hafthorsdottir, S; Vostrikov, S; Cossettini, A; Rieder, M; Leitner, C; Magno, M; Benini, L, Automatic Extraction of Muscle Fascicle Pennation Angle from Raw Ultrasound Data, in: 2022 IEEE Sensors Applications Symposium (SAS), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, pp. 1 - 5 (atti di: 2022 IEEE Sensors Applications Symposium (SAS), Sundsvall, Sweden, 1 - 3 August 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]Open Access
Donati, Riccardo; Kartsch, Victor; Benini, Luca; Benatti, Simone, BioWolf16: a 16-channel, 24-bit, 4kSPS Ultra-Low Power Platform for Wearable Clinical-grade Bio-potential Parallel Processing and Streaming, in: Proceedigns of the 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, «IEEE ENGINEERING IN MEDICINE AND BIOLOGY ... ANNUAL CONFERENCE PROCEEDINGS», 2022, 2022, pp. 2518 - 2522 (atti di: 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Glasgow, UK, 11-15 July 2022) [Contributo in Atti di convegno]
Risso, Matteo; Burrello, Alessio; Benini, Luca; Macii, Enrico; Poncino, Massimo; Pagliari, Daniele Jahier, Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes, in: 2022 IEEE 13th International Green and Sustainable Computing Conference (IGSC), 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, 2022, pp. . - . (atti di: 2022 IEEE 13th International Green and Sustainable Computing Conference (IGSC), Pittsburgh, PA, USA, 24-25 October 2022) [Contributo in Atti di convegno]
Ozsoy C.; Cossettini A.; Ozbek A.; Vostrikov S.; Hager P.; Dean-Ben X.L.; Benini L.; Razansky D., Compact optical link acquisition for high-speed optoacoustic imaging, in: Proc. SPIE 11960, Photons Plus Ultrasound: Imaging and Sensing 2022, 119600O (3 March 2022), 2022, 11960, pp. . - . (atti di: Proc. SPIE 11960, Photons Plus Ultrasound: Imaging and Sensing 2022, 119600O (3 March 2022), San Francisco, CA, USA, January 22 - 23) [Contributo in Atti di convegno]
Hersche, M.; Karunaratne, G.; Cherubini, G.; Benini, L.; Sebastian, A.; Rahimi, A., Constrained Few-shot Class-incremental Learning, in: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, 2022-June, pp. 9047 - 9057 (atti di: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, 18-24 June 2022) [Contributo in Atti di convegno]Open Access
Ottaviano A.; Balas R.; Bambini G.; Bonfanti C.; Benatti S.; Rossi D.; Benini L.; Bartolini A., ControlPULP: A RISC-V Power Controller for HPC Processors with Parallel Control-Law Computation Acceleration, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN COMPUTER SCIENCE», 2022, 13511, pp. 120 - 135 (atti di: 22nd International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2021, grc, 2022) [Contributo in Atti di convegno]Open Access
Moritz Scherer; Georg Rutishauser; Lukas Cavigelli; Luca Benini, CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration with Better-than-Binary Energy Efficiency, «IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS», 2022, 41, pp. 1020 - 1033 [articolo]Open Access
Garofalo, Angelo; Tortorella, Yvan; Perotti, Matteo; Valente, Luca; Nadalini, Alessandro; Benini, Luca; Rossi, Davide; Conti, Francesco, Darkside: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training, «IEEE OPEN JOURNAL OF SOLID-STATE CIRCUITS», 2022, 1, pp. 1 - 1 [articolo]Open Access
Angelo Garofalo; Matteo Perotti; Luca Valente; Yvan Tortorella; Alessandro Nadalini; Luca Benini; Davide Rossi; Francesco Conti, Darkside: 2.6GFLOPS, 8.7mW Heterogeneous RISC-V Cluster for Extreme-Edge On-Chip DNN Inference and Training, in: ESSCIRC 2022- IEEE 48th European Solid State Circuits Conference (ESSCIRC), 2022, pp. 273 - 276 (atti di: ESSCIRC 2022- IEEE 48th European Solid State Circuits Conference (ESSCIRC), Milano, Italy, 19/09/2022-22/09/2022) [Contributo in Atti di convegno]
