Archivio Istituzionale della RicercaCALIMERA, ANDREA
CALIMERA, ANDREA
Dipartimento di Automatica e Informatica
018408
Concurrent Pipeline Stages Optimization for Embedded Keyword Spotting
2023 Zema, Giacomo; Peluso, Valentino; Calimera, Andrea; Macii, Enrico
Enabling DVFS Side-Channel Attacks for Neural Network Fingerprinting in Edge Inference Services
2023 Malan, Erich; Peluso, Valentino; Calimera, Andrea; Macii, Enrico
Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference
2022 Xie, C.; JAHIER PAGLIARI, Daniele; Calimera, A.
Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers
2022 Daghero, F; Burrello, A; Xie, C; Benini, L; Calimera, A; Macii, E; Poncino, M; Jahier Pagliari, D
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs
2022 Xie, Chen; Daghero, Francesco; Chen, Yukai; Castellano, Marco; Gandolfi, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele
SMART-IC: Smart Monitoring and Production Optimization for Zero-waste Semiconductor Manufacturing
2022 Alamin, KHALED SIDAHMED SIDAHMED; Chen, Yukai; Gaiardelli, Sebastiano; Spellini, Stefano; Calimera, Andrea; Beghi, Alessandro; Susto, Antonio; Fummi, Franco; Macii, Enrico; Vinco, Sara
ACME: An energy-efficient approximate bus encoding for I2C
2021 Xie, Chen; JAHIER PAGLIARI, Daniele; Calimera, Andrea; Macii, Enrico; Poncino, Massimo
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers
2021 Daghero, Francesco; Burrello, Alessio; Xie, Chen; Benini, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele
AdapTTA: Adaptive Test-Time Augmentation for Reliable Embedded ConvNets
2021 Mocerino, Luca; Rizzo, Roberto G.; Peluso, Valentino; Calimera, Andrea; Macii, Enrico
Dataflow Restructuring for Active Memory Reduction in Deep Neural Networks
2021 Cipolletta, A.; Calimera, A.
On the Efficiency of Sparse-Tiled Tensor Graph Processing for Low Memory Usage
2021 Cipolletta, A.; Calimera, A.
Ultra-compact binary neural networks for human activity recognition on RISC-V processors
2021 Daghero, F.; Xie, C.; Jahier Pagliari, D.; Burrello, A.; Castellano, M.; Gandolfi, L.; Calimera, A.; Macii, E.; Poncino, M.
EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets
2020 Grimaldi, Matteo; Peluso, Valentino; Calimera, Andrea
Enabling monocular depth perception at the very edge
2020 Peluso, V.; Cipolletta, A.; Calimera, A.; Poggi, M.; Tosi, F.; Aleotti, F.; Mattoccia, S.
Optimization Tools for ConvNets on the Edge
2020 Peluso, V.; Macii, E.; Calimera, A.
TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks
2020 Mocerino, Luca; Calimera, Andrea
Arbitrary-Precision Convolutional Neural Networks on Low-Power IoT Processors
2019 Peluso, V.; Grimaldi, M.; Calimera, A.
CoopNet: Cooperative convolutional neural network for low-power MCUs
2019 Mocerino, L.; Calimera, A.
Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms
2019 Peluso, V.; Cipolletta, Antonio; Calimera, A.; Poggi, M.; Tosi, F.; Mattoccia, S.
Energy-Driven Precision Scaling for Fixed-Point ConvNets
2019 Peluso, V.; Calimera, A.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Concurrent Pipeline Stages Optimization for Embedded Keyword Spotting / Zema, Giacomo; Peluso, Valentino; Calimera, Andrea; Macii, Enrico. - (2023), pp. 0427-0433. (Intervento presentato al convegno World AI IoT Congress tenutosi a Seattle, WA (USA) nel 07-10 June 2023) [10.1109/AIIoT58121.2023.10174531]. | 1-gen-2023 | Zema, GiacomoPeluso, ValentinoCalimera, AndreaMacii, Enrico | Concurrent_Pipeline_Stages_Optimization_for_Embedded_Keyword_Spotting.pdf |
| Enabling DVFS Side-Channel Attacks for Neural Network Fingerprinting in Edge Inference Services / Malan, Erich; Peluso, Valentino; Calimera, Andrea; Macii, Enrico. - (2023), pp. 1-6. (Intervento presentato al convegno International Symposium on Low Power Electronics and Design tenutosi a Vienna (AUT) nel 07-08 August 2023) [10.1109/ISLPED58423.2023.10244398]. | 1-gen-2023 | Malan, ErichPeluso, ValentinoCalimera, AndreaMacii, Enrico | ISLPED2023_cameraReady.pdf; Enabling_DVFS_Side-Channel_Attacks_for_Neural_Network_Fingerprinting_in_Edge_Inference_Services.pdf |
| Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference / Xie, C.; JAHIER PAGLIARI, Daniele; Calimera, A.. - (2022), pp. 181-184. (Intervento presentato al convegno 2022 17th Conference on Ph.D Research in Microelectronics and Electronics (PRIME) tenutosi a Villasimius, SU (Italy) nel 12-15 June 2022) [10.1109/PRIME55000.2022.9816801]. | 1-gen-2022 | Xie C.Jahier Pagliari DanieleCalimera A. | Energy-efficient_and_Privacy-aware_Social_Distance_Monitoring_with_Low-resolution_Infrared_Sensors_and_Adaptive_Inference_arxiv.pdf; Energy-efficient_and_Privacy-aware_Social_Distance_Monitoring_with_Low-resolution_Infrared_Sensors_and_Adaptive_Inference.pdf |
| Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers / Daghero, F; Burrello, A; Xie, C; Benini, L; Calimera, A; Macii, E; Poncino, M; Jahier Pagliari, D. - STAMPA. - 661:(2022), pp. 25-47. (Intervento presentato al convegno 29th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2021) tenutosi a Singapore nel October 4-8, 2021) [10.1007/978-3-031-16818-5_2]. | 1-gen-2022 | Daghero, FBurrello, AXie, CBenini, LCalimera, AMacii, EPoncino, MJahier Pagliari, D | postprint.pdf; vlsi-soc-chapter.pdf |
| Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs / Xie, Chen; Daghero, Francesco; Chen, Yukai; Castellano, Marco; Gandolfi, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele. - (2022), pp. 1332-1336. (Intervento presentato al convegno 2022 IEEE International Symposium on Circuits and Systems (ISCAS) tenutosi a Austin, TX (USA) nel 27 May 2022 - 01 June 2022) [10.1109/ISCAS48785.2022.9937837]. | 1-gen-2022 | Chen XieFrancesco DagheroYukai ChenAndrea CalimeraEnrico MaciiMassimo PoncinoDaniele Jahier Pagliari + | Privacy-preserving_Social_Distance_Monitoring_arxiv.pdf; Privacy-preserving_Social_Distance_Monitoring_on_Microcontrollers_with_Low-Resolution_Infrared_Sensors_and_CNNs.pdf |
| SMART-IC: Smart Monitoring and Production Optimization for Zero-waste Semiconductor Manufacturing / Alamin, KHALED SIDAHMED SIDAHMED; Chen, Yukai; Gaiardelli, Sebastiano; Spellini, Stefano; Calimera, Andrea; Beghi, Alessandro; Susto, Antonio; Fummi, Franco; Macii, Enrico; Vinco, Sara. - (2022), pp. 1-6. (Intervento presentato al convegno IEEE Latin-American Test Symposium tenutosi a Montevideo (Uruguay) nel 5th - 8th September 2022) [10.1109/LATS57337.2022.9937011]. | 1-gen-2022 | Khaled Sidahmed Sidahmed AlaminYukai ChenAndrea CalimeraAlessandro BeghiFranco FummiEnrico MaciiSara Vinco + | LATS2022_CR_version (1).pdf; SMART-IC_Smart_Monitoring_and_Production_Optimization_for_Zero-waste_Semiconductor_Manufacturing.pdf |
| ACME: An energy-efficient approximate bus encoding for I2C / Xie, Chen; JAHIER PAGLIARI, Daniele; Calimera, Andrea; Macii, Enrico; Poncino, Massimo. - ELETTRONICO. - (2021), pp. 1-6. (Intervento presentato al convegno 2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) tenutosi a Boston, MA, USA nel 26-28 July 2021) [10.1109/ISLPED52811.2021.9502495]. | 1-gen-2021 | Chen XieDaniele Jahier PagliariAndrea CalimeraEnrico MaciiMassimo Poncino | ACME_an_Energy_efficinet_approximate_bus_encoding_for_I2C.pdf; ACME_An_Energy-Efficient_Approximate_Bus_Encoding_for_I2C.pdf |
| Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers / Daghero, Francesco; Burrello, Alessio; Xie, Chen; Benini, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele. - ELETTRONICO. - (2021), pp. 1-6. (Intervento presentato al convegno 29th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2021 tenutosi a Virtual Conference nel 2021) [10.1109/VLSI-SoC53125.2021.9606986]. | 1-gen-2021 | Daghero, FrancescoBurrello, AlessioXie, ChenBenini, LucaCalimera, AndreaMacii, EnricoPoncino, MassimoJahier Pagliari, Daniele | Adaptive_Random_Forests_for_Energy-Efficient_Inference_on_Microcontrollers.pdf; Adaptive_Random_Forests_for_Energy-Efficient_Inference_on_Microcontrollers-POSTPRINT.pdf.pdf |
| AdapTTA: Adaptive Test-Time Augmentation for Reliable Embedded ConvNets / Mocerino, Luca; Rizzo, Roberto G.; Peluso, Valentino; Calimera, Andrea; Macii, Enrico. - (2021), pp. 1-6. (Intervento presentato al convegno International Conference on Very Large Scale Integration (VLSI-SoC) nel 4-7 Oct. 2021) [10.1109/VLSI-SoC53125.2021.9606980]. | 1-gen-2021 | Mocerino, LucaRizzo, Roberto G.Peluso, ValentinoCalimera, AndreaMacii, Enrico | Adaptive_Test_time_Augmentation____VLSI_SoC2021.pdf; AdapTTA_Adaptive_Test-Time_Augmentation_for_Reliable_Embedded_ConvNets.pdf |
| Dataflow Restructuring for Active Memory Reduction in Deep Neural Networks / Cipolletta, A.; Calimera, A.. - (2021), pp. 114-119. (Intervento presentato al convegno 2021 Design, Automation and Test in Europe Conference and Exhibition, DATE 2021 nel 01-05 February 2021) [10.23919/DATE51398.2021.9473965]. | 1-gen-2021 | Cipolletta A.Calimera A. | DATE21_final_submitted.pdf; Dataflow_Restructuring_for_Active_Memory_Reduction_in_Deep_Neural_Networks.pdf |
| On the Efficiency of Sparse-Tiled Tensor Graph Processing for Low Memory Usage / Cipolletta, A.; Calimera, A.. - ELETTRONICO. - (2021), pp. 643-648. (Intervento presentato al convegno 58th ACM/IEEE Design Automation Conference, DAC 2021 tenutosi a usa nel 2021) [10.1109/DAC18074.2021.9586154]. | 1-gen-2021 | Cipolletta A.Calimera A. | DAC21_camera_ready.pdf; On_The_Efficiency_of_Sparse-Tiled_Tensor_Graph_Processing_For_Low_Memory_Usage.pdf |
| Ultra-compact binary neural networks for human activity recognition on RISC-V processors / Daghero, F.; Xie, C.; Jahier Pagliari, D.; Burrello, A.; Castellano, M.; Gandolfi, L.; Calimera, A.; Macii, E.; Poncino, M.. - ELETTRONICO. - (2021), pp. 3-11. (Intervento presentato al convegno 18th ACM International Conference on Computing Frontiers 2021, CF 2021 tenutosi a Virtual conference nel 2021) [10.1145/3457388.3458656]. | 1-gen-2021 | Daghero F.Xie C.Jahier Pagliari D.Burrello A.Calimera A.MacIi E.Poncino M. + | BNN_CF-post-print.pdf; Daghero et al. - 2021 - Ultra-Compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors.pdf |
| EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNets / Grimaldi, Matteo; Peluso, Valentino; Calimera, Andrea. - ELETTRONICO. - (2020), pp. 233-237. (Intervento presentato al convegno IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)) [10.1109/AICAS48895.2020.9073979]. | 1-gen-2020 | Grimaldi, MatteoPeluso, ValentinoCalimera, Andrea | PID6298707.pdf; 09073979.pdf |
| Enabling monocular depth perception at the very edge / Peluso, V.; Cipolletta, A.; Calimera, A.; Poggi, M.; Tosi, F.; Aleotti, F.; Mattoccia, S.. - 2020:(2020), pp. 1581-1583. (Intervento presentato al convegno 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020 tenutosi a usa nel 2020) [10.1109/CVPRW50498.2020.00204]. | 1-gen-2020 | Peluso V.Cipolletta A.Calimera A.Aleotti F.Mattoccia S. + | 09150972.pdf; LPVCV_2020_postprint_iris.pdf |
| Optimization Tools for ConvNets on the Edge / Peluso, V.; Macii, E.; Calimera, A.. - ELETTRONICO. - (2020), pp. 204-205. (Intervento presentato al convegno 28th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SOC 2020 tenutosi a Salt Lake City, UT, USA nel 2020) [10.1109/VLSI-SOC46417.2020.9344075]. | 1-gen-2020 | Peluso V.MacIi E.Calimera A. | Optimization_Tools_for_ConvNets_on_the_Edge.pdf |
| TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks / Mocerino, Luca; Calimera, Andrea. - ELETTRONICO. - (2020), pp. 261-265. (Intervento presentato al convegno IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)) [10.1109/AICAS48895.2020.9073982]. | 1-gen-2020 | Mocerino, LucaCalimera, Andrea | 09073982.pdf; aicas20.pdf |
| Arbitrary-Precision Convolutional Neural Networks on Low-Power IoT Processors / Peluso, V.; Grimaldi, M.; Calimera, A.. - 2019-:(2019), pp. 142-147. (Intervento presentato al convegno 27th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2019 tenutosi a per nel 2019) [10.1109/VLSI-SoC.2019.8920341]. | 1-gen-2019 | Peluso V.Grimaldi M.Calimera A. | 8920341.pdf; main.pdf |
| CoopNet: Cooperative convolutional neural network for low-power MCUs / Mocerino, L.; Calimera, A.. - (2019), pp. 414-417. (Intervento presentato al convegno 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019 tenutosi a ita nel 2019) [10.1109/ICECS46596.2019.8964993]. | 1-gen-2019 | Mocerino L.Calimera A. | 08964993.pdf; main.pdf |
| Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms / Peluso, V.; Cipolletta, Antonio; Calimera, A.; Poggi, M.; Tosi, F.; Mattoccia, S.. - (2019), pp. 1703-1708. (Intervento presentato al convegno 22nd Design, Automation and Test in Europe Conference and Exhibition, DATE 2019 tenutosi a Firenze Fiera, ita nel 2019) [10.23919/DATE.2019.8714893]. | 1-gen-2019 | Peluso V.CIPOLLETTA, ANTONIOCalimera A. + | - |
| Energy-Driven Precision Scaling for Fixed-Point ConvNets / Peluso, V.; Calimera, A.. - 2018-:(2019), pp. 113-118. (Intervento presentato al convegno 26th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2018 tenutosi a ita nel 2018) [10.1109/VLSI-SoC.2018.8644902]. | 1-gen-2019 | Peluso V.Calimera A. | - |