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2020 – today
- 2023
[j139]Marco Castangia, Lina Maria Medina Grajales, Alessandro Aliberti
, Claudio Rossi, Alberto Macii, Enrico Macii, Edoardo Patti:
Transformer neural networks for interpretable flood forecasting. Environ. Model. Softw. 160: 105581 (2023)- [j138]Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii:
Communication-Efficient Federated Learning With Gradual Layer Freezing. IEEE Embed. Syst. Lett. 15(1): 25-28 (2023) - [j137]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality. Expert Syst. Appl. 214: 119121 (2023) - [j136]Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Efficient Deep Learning Models for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. IEEE Internet Things J. 10(15): 13895-13907 (2023) - [j135]Chen Xie, Alessio Burrello, Francesco Daghero, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference. Sensors 23(4): 2065 (2023) - [j134]Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. IEEE Trans. Computers 72(3): 744-758 (2023) - [j133]Marco Castangia, Nicola Barletta, Christian Camarda, Stefano Quer, Enrico Macii, Edoardo Patti:
Clustering Appliance Operation Modes With Unsupervised Deep Learning Techniques. IEEE Trans. Ind. Informatics 19(7): 8196-8204 (2023) - [j132]Young Hoo Cho, Donkyu Baek, Yukai Chen, Min Jae Jung, Sara Vinco, Enrico Macii, Massimo Poncino:
Multi-Criteria Coordinated Electric Vehicle-Drone Hybrid Delivery Service Planning. IEEE Trans. Veh. Technol. 72(5): 5892-5905 (2023) - [c335]Giacomo Zema, Valentino Peluso, Andrea Calimera, Enrico Macii:
Concurrent Pipeline Stages Optimization for Embedded Keyword Spotting. AIIoT 2023: 427-433 - [c334]Alessandro Aliberti, Yao Xin, Alessio Viticchié, Enrico Macii, Edoardo Patti:
Comparative analysis of neural networks techniques to forecast Airfare Prices. COMPSAC 2023: 1023-1029 - [c333]Rafael Natalio Fontana Crespo, Alessandro Aliberti, Lorenzo Bottaccioli, Enrico Macii, Giorgio Fighera, Edoardo Patti:
LSTM for Grid Power Forecasting in Short-Term from Wave Energy Converters. COMPSAC 2023: 1495-1500 - [c332]Alessio Burrello, Matteo Risso, Noemi Tomasello, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. DATE 2023: 1-6 - [c331]Rafael Natalio Fontana Crespo, Davide Cannizzaro, Lorenzo Bottaccioli, Enrico Macii, Edoardo Patti, Santa Di Cataldo:
A Distributed Software Platform for Additive Manufacturing. ETFA 2023: 1-4 - [c330]Luigi Capogrosso, Alessio Mascolini, Federico Girella, Geri Skenderi, Sebastiano Gaiardelli, Nicola Dall'Ora, Francesco Ponzio, Enrico Fraccaroli, Santa Di Cataldo, Sara Vinco, Enrico Macii, Franco Fummi, Marco Cristani:
Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper. FDL 2023: 1-4 - [c329]Alessio Mascolini, Sebastiano Gaiardelli, Francesco Ponzio, Nicola Dall'Ora, Enrico Macii, Sara Vinco, Santa Di Cataldo, Franco Fummi:
Robotic Arm Dataset (RoAD): A Dataset to Support the Design and Test of Machine Learning-Driven Anomaly Detection in a Production Line. IECON 2023: 1-7 - [c328]Khaled Sidahmed Sidahmed Alamin, Francesco Daghero, Giovanni Pollo, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco:
Model-Driven Dataset Generation for Data-Driven Battery SOH Models. ISLPED 2023: 1-6 - [c327]Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii:
Enabling DVFS Side-Channel Attacks for Neural Network Fingerprinting in Edge Inference Services. ISLPED 2023: 1-6 - [c326]Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari:
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. ISLPED 2023: 1-6 - [i23]Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. CoRR abs/2301.10281 (2023) - [i22]Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays. CoRR abs/2304.06059 (2023) - [i21]Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari:
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. CoRR abs/2306.05060 (2023) - [i20]Alessio Burrello, Matteo Risso, Noemi Tomasello, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. CoRR abs/2306.06129 (2023) - [i19]Francesco Daghero, Alessio Burrello, Enrico Macii, Paolo Montuschi, Massimo Poncino, Daniele Jahier Pagliari:
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes. CoRR abs/2306.09789 (2023) - [i18]Luigi Capogrosso, Alessio Mascolini, Federico Girella, Geri Skenderi, Sebastiano Gaiardelli, Nicola Dall'Ora, Francesco Ponzio, Enrico Fraccaroli, Santa Di Cataldo, Sara Vinco, Enrico Macii, Franco Fummi, Marco Cristani:
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0. CoRR abs/2307.06975 (2023) - [i17]Alessio Burrello, Matteo Risso, Beatrice Alessandra Motetti, Enrico Macii, Luca Benini, Daniele Jahier Pagliari:
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices. CoRR abs/2310.07217 (2023) - 2022
- [j131]Raimondo Gallo, Marco Castangia, Alberto Macii, Enrico Macii, Edoardo Patti, Alessandro Aliberti:
Solar radiation forecasting with deep learning techniques integrating geostationary satellite images. Eng. Appl. Artif. Intell. 116: 105493 (2022) - [j130]Marco Castangia, Angelica Urbanelli, Awet Abraha Girmay, Christian Camarda, Enrico Macii, Edoardo Patti:
Non-intrusive load monitoring techniques for the disaggregation of ON/OFF appliances. Energy Inform. 5 (2022) - [j129]Vittorio Fra, Evelina Forno, Riccardo Pignari, Terrence C. Stewart, Enrico Macii, Gianvito Urgese:
Human activity recognition: suitability of a neuromorphic approach for on-edge AIoT applications. Neuromorph. Comput. Eng. 2(1): 14006 (2022) - [j128]Claudia De Vizia, Edoardo Patti, Enrico Macii, Lorenzo Bottaccioli:
A User-Centric View of a Demand Side Management Program: From Surveys to Simulation and Analysis. IEEE Syst. J. 16(2): 1885-1896 (2022) - [j127]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. Sustain. Comput. Informatics Syst. 35: 100704 (2022) - [j126]Francesco Daghero, Alessio Burrello, Chen Xie, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 21(4): 46:1-46:28 (2022) - [j125]Daniele Jahier Pagliari, Frank Schirrmeister, Nader Bagherzadeh, Enrico Macii:
Guest Editorial: Thematic Section on Applications of Emerging Computing Technologies in Smart Manufacturing and Industry 4.0. IEEE Trans. Emerg. Top. Comput. 10(1): 6-8 (2022) - [c325]Alessio Burrello, Daniele Jahier Pagliari, Marzia Bianco, Enrico Macii, Luca Benini, Massimo Poncino, Simone Benatti:
Improving PPG-based Heart-Rate Monitoring with Synthetically Generated Data. BioCAS 2022: 153-157 - [c324]Khaled Sidahmed Sidahmed Alamin, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco:
A Machine Learning-based Digital Twin for Electric Vehicle Battery Modeling. COINS 2022: 1-6 - [c323]Alessandro Aliberti, Filippo Boni, Alessandro Perol, Marco Zampolli, Rémi Jacques Philibert Jaboeuf, Paolo Tosco, Enrico Macii, Edoardo Patti:
Comparative Analysis of Neural Networks Techniques for Lithium-ion Battery SOH Estimation. COMPSAC 2022: 1355-1361 - [c322]Alberto Bocca, Alberto Macii, Enrico Macii:
A Nonlinear Two-Parameter Model for the Spatial Analysis of Solar Irradiation. COMPSAC 2022: 1362-1367 - [c321]Alessio Burrello, Francesco Bianco Morghet, Moritz Scherer, Simone Benatti, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition. DATE 2022: 1443-1448 - [c320]Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. IGSC 2022: 1-6 - [c319]Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs. ISCAS 2022: 1332-1336 - [c318]Yukai Chen, Roberta Chiaro, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
C-NMT: A Collaborative Inference Framework for Neural Machine Translation. ISCAS 2022: 1512-1516 - [c317]Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. ISLPED 2022: 28:1-28:6 - [c316]Khaled Sidahmed Sidahmed Alamin, Yukai Chen, Sebastiano Gaiardelli, Stefano Spellini, Andrea Calimera, Alessandro Beghi, Gian Antonio Susto, Franco Fummi, Enrico Macii, Sara Vinco:
SMART-IC: Smart Monitoring and Production Optimization for Zero-waste Semiconductor Manufacturing. LATS 2022: 1-6 - [i16]Alessio Burrello, Alberto Dequino, Daniele Jahier Pagliari, Francesco Conti, Marcello Zanghieri, Enrico Macii, Luca Benini, Massimo Poncino:
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference. CoRR abs/2203.12925 (2022) - [i15]Alessio Burrello, Francesco Bianco Morghet, Moritz Scherer, Simone Benatti, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition. CoRR abs/2203.12932 (2022) - [i14]Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino:
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. CoRR abs/2203.14768 (2022) - [i13]Alessio Burrello, Daniele Jahier Pagliari, Matteo Risso, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino:
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices. CoRR abs/2203.14907 (2022) - [i12]Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino:
Robust and Energy-efficient PPG-based Heart-Rate Monitoring. CoRR abs/2203.16339 (2022) - [i11]Francesco Daghero, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini, Enrico Macii, Massimo Poncino:
Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence. CoRR abs/2204.03431 (2022) - [i10]Yukai Chen, Roberta Chiaro, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
C-NMT: A Collaborative Inference Framework for Neural Machine Translation. CoRR abs/2204.04043 (2022) - [i9]Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs. CoRR abs/2204.10541 (2022) - [i8]Francesco Daghero, Chen Xie, Daniele Jahier Pagliari, Alessio Burrello, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino:
Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors. CoRR abs/2205.12781 (2022) - [i7]Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers. CoRR abs/2205.13838 (2022) - [i6]Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. CoRR abs/2206.00302 (2022) - [i5]Khaled Sidahmed Sidahmed Alamin, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco:
A Machine Learning-based Digital Twin for Electric Vehicle Battery Modeling. CoRR abs/2206.08080 (2022) - [i4]Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. CoRR abs/2206.08852 (2022) - [i3]Francesco Daghero, Alessio Burrello, Chen Xie, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks. CoRR abs/2209.00839 (2022) - 2021
- [j124]Alessandro Aliberti, Daniele Fucini, Lorenzo Bottaccioli, Enrico Macii, Andrea Acquaviva, Edoardo Patti:
Comparative Analysis of Neural Networks Techniques to Forecast Global Horizontal Irradiance. IEEE Access 9: 122829-122846 (2021) - [j123]Claudia De Vizia, Edoardo Patti, Enrico Macii, Lorenzo Bottaccioli:
A Win-Win Algorithm for Learning the Flexibility of Aggregated Residential Appliances. IEEE Access 9: 150495-150507 (2021) - [j122]Marco Castangia, Alessandro Aliberti, Lorenzo Bottaccioli, Enrico Macii, Edoardo Patti:
A compound of feature selection techniques to improve solar radiation forecasting. Expert Syst. Appl. 178: 114979 (2021) - [j121]Davide Cannizzaro, Alessandro Aliberti, Lorenzo Bottaccioli, Enrico Macii, Andrea Acquaviva, Edoardo Patti:
Solar radiation forecasting based on convolutional neural network and ensemble learning. Expert Syst. Appl. 181: 115167 (2021) - [j120]Tania Cerquitelli, Francesco Ventura, Daniele Apiletti, Elena Baralis, Enrico Macii, Massimo Poncino:
Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes. Expert Syst. Appl. 182: 115269 (2021) - [j119]Santa Di Cataldo, Sukhan Lee, Enrico Macii, Birgit Vogel-Heuser:
Leading Information and Communication Technologies for Smart Manufacturing: Facing the New Challenges and Opportunities of the 4th Industrial Revolution. Proc. IEEE 109(4): 320-325 (2021) - [j118]Santa Di Cataldo, Sara Vinco, Gianvito Urgese, Flaviana Calignano, Elisa Ficarra, Alberto Macii, Enrico Macii:
Optimizing Quality Inspection and Control in Powder Bed Metal Additive Manufacturing: Challenges and Research Directions. Proc. IEEE 109(4): 326-346 (2021) - [j117]Alessio Burrello, Daniele Jahier Pagliari, Matteo Risso, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino:
Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices. IEEE Trans. Biomed. Circuits Syst. 15(6): 1196-1209 (2021) - [j116]Daniele Jahier Pagliari, Roberta Chiaro, Enrico Macii, Massimo Poncino:
CRIME: Input-Dependent Collaborative Inference for Recurrent Neural Networks. IEEE Trans. Computers 70(10): 1626-1639 (2021) - [j115]Francesco Barchi, Gianvito Urgese, Alessandro Siino, Santa Di Cataldo, Enrico Macii, Andrea Acquaviva:
Flexible On-Line Reconfiguration of Multi-Core Neuromorphic Platforms. IEEE Trans. Emerg. Top. Comput. 9(2): 915-927 (2021) - [j114]Daniele Jahier Pagliari, Santa Di Cataldo, Edoardo Patti, Alberto Macii, Enrico Macii, Massimo Poncino:
Low-Overhead Adaptive Brightness Scaling for Energy Reduction in OLED Displays. IEEE Trans. Emerg. Top. Comput. 9(3): 1625-1636 (2021) - [j113]Mulugeta Weldezgina Asres, Million Abayneh Mengistu, Pino Castrogiovanni, Lorenzo Bottaccioli, Enrico Macii, Edoardo Patti, Andrea Acquaviva:
Supporting Telecommunication Alarm Management System With Trouble Ticket Prediction. IEEE Trans. Ind. Informatics 17(2): 1459-1469 (2021) - [j112]Yukai Chen, Wenlong Wang, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
Assessing the Impact of Sensor-Based Task Scheduling on Battery Lifetime in IoT Devices. IEEE Trans. Instrum. Meas. 70: 1-15 (2021) - [j111]Sara Vinco, Daniele Jahier Pagliari, Lorenzo Bottaccioli, Edoardo Patti, Enrico Macii, Massimo Poncino:
A Microservices-Based Framework for Smart Design and Optimization of PV Installations. IEEE Trans. Sustain. Comput. 6(4): 531-543 (2021) - [c315]Francesco Daghero, Chen Xie, Daniele Jahier Pagliari, Alessio Burrello, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino:
Ultra-compact binary neural networks for human activity recognition on RISC-V processors. CF 2021: 3-11 - [c314]Alberto Bocca, Alberto Macii, Enrico Macii:
Forecasting the Grid Power Demand of Charging Stations from EV Drivers' Attitude. COMPSAC 2021: 1867-1872 - [c313]Matteo Orlando, Lorenzo Bottaccioli, Sara Vinco, Enrico Macii, Massimo Poncino, Edoardo Patti:
Design of District-level Photovoltaic Installations for Optimal Power Production and Economic Benefit. COMPSAC 2021: 1873-1878 - [c312]Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino:
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. DAC 2021: 1015-1020 - [c311]Davide Cannizzaro, Antonio Giuseppe Varrella, Stefano Paradiso, Roberta Sampieri, Enrico Macii, Edoardo Patti, Santa Di Cataldo:
Image analytics and machine learning for in-situ defects detection in Additive Manufacturing. DATE 2021: 603-608 - [c310]Valerio Mieuli, Francesco Ponzio, Alessio Mascolini, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
A Bayesian approach to Expert Gate Incremental Learning. IJCNN 2021: 1-7 - [c309]Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino:
Robust and Energy-Efficient PPG-Based Heart-Rate Monitoring. ISCAS 2021: 1-5 - [c308]Alessio Burrello, Alberto Dequino, Daniele Jahier Pagliari, Francesco Conti, Marcello Zanghieri, Enrico Macii, Luca Benini, Massimo Poncino:
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference. ISLPED 2021: 1-6 - [c307]Chen Xie, Daniele Jahier Pagliari, Andrea Calimera, Enrico Macii, Massimo Poncino:
ACME: An Energy-Efficient Approximate Bus Encoding for I2C. ISLPED 2021: 1-6 - [c306]Evelina Forno, Andrea Spitale, Enrico Macii, Gianvito Urgese:
Configuring an Embedded Neuromorphic Coprocessor Using a RISC-V Chip for Enabling Edge Computing Applications. MCSoC 2021: 328-332 - [c305]Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers. VLSI-SoC 2021: 1-6 - [c304]Luca Mocerino, Roberto Giorgio Rizzo, Valentino Peluso, Andrea Calimera, Enrico Macii:
AdapTTA: Adaptive Test-Time Augmentation for Reliable Embedded ConvNets. VLSI-SoC 2021: 1-6 - [c303]Luca Mocerino, Roberto Giorgio Rizzo, Valentino Peluso, Andrea Calimera, Enrico Macii:
On the Efficiency of AdapTTA: An Adaptive Test-Time Augmentation Strategy for Reliable Embedded ConvNets. VLSI-SoC (Selected Papers) 2021: 1-23 - [c302]Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers. VLSI-SoC (Selected Papers) 2021: 25-47 - [i2]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality. CoRR abs/2103.13107 (2021) - [i1]Luca Mocerino, Roberto Giorgio Rizzo, Valentino Peluso, Andrea Calimera, Enrico Macii:
Adaptive Test-Time Augmentation for Low-Power CPU. CoRR abs/2105.06183 (2021) - 2020
- [j110]Valerio Tenace, Andrea Calimera, Enrico Macii, Massimo Poncino:
Logic Synthesis of Pass-Gate Logic Circuits With Emerging Ambipolar Technologies. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(2): 397-410 (2020) - [j109]Yukai Chen, Sara Vinco, Daniele Jahier Pagliari, Paolo Montuschi, Enrico Macii, Massimo Poncino:
Modeling and Simulation of Cyber-Physical Electrical Energy Systems With SystemC-AMS. IEEE Trans. Sustain. Comput. 5(4): 552-567 (2020) - [c301]Luca Barbierato, Daniele Salvatore Schiera, Edoardo Patti, Enrico Macii, Enrico Pons, Ettore Francesco Bompard, Andrea Lanzini, Romano Borchiellini, Lorenzo Bottaccioli:
GAMES: A General-Purpose Architectural Model for Multi-energy System Engineering Applications. COMPSAC 2020: 1405-1410 - [c300]Matteo Orlando, Lorenzo Bottaccioli, Edoardo Patti, Enrico Macii, Sara Vinco, Massimo Poncino:
Optimal Configuration and Placement of PV Systems in Building Roofs with Cost Analysis. COMPSAC 2020: 1411-1416 - [c299]Daniele Jahier Pagliari, Roberta Chiaro, Yukai Chen, Sara Vinco, Enrico Macii, Massimo Poncino:
Input-Dependent Edge-Cloud Mapping of Recurrent Neural Networks Inference. DAC 2020: 1-6 - [c298]Sara Vinco, Yukai Chen, Enrico Macii, Massimo Poncino:
A Diode-Aware Model of PV Modules from Datasheet Specifications. DATE 2020: 816-821 - [c297]Alessio Burrello, Daniele Jahier Pagliari, Andrea Bartolini, Luca Benini, Enrico Macii, Massimo Poncino:
Predicting Hard Disk Failures in Data Centers Using Temporal Convolutional Neural Networks. Euro-Par Workshops 2020: 277-289 - [c296]Francesco Daghero, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini, Enrico Macii, Massimo Poncino:
Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence. ICECS 2020: 1-4 - [c295]Alberto Bocca, Alberto Macii, Enrico Macii:
A Spatial Correlation Analysis of Seismic and Flooding Events: Application to Italy. ICGDA 2020: 10-13 - [c294]Alessandro Aliberti, Andrea Bagatin, Andrea Acquaviva, Enrico Macii, Edoardo Patti:
Data Driven Patient-Specialized Neural Networks for Blood Glucose Prediction. ICME Workshops 2020: 1-6 - [c293]Francesco Ponzio, Giacomo Deodato, Enrico Macii, Santa Di Cataldo, Elisa Ficarra:
Exploiting "Uncertain" Deep Networks for Data Cleaning in Digital Pathology. ISBI 2020: 1139-1143 - [c292]Gianvito Urgese, Paolo Azzoni, Jan van Deventer, Jerker Delsing, Enrico Macii:
An Engineering Process model for managing a digitalised life-cycle of products in the Industry 4.0. NOMS 2020: 1-6 - [c291]Valentino Peluso, Enrico Macii, Andrea Calimera:
Optimization Tools for ConvNets on the Edge. VLSI-SOC 2020: 204-205
2010 – 2019
- 2019
- [j108]Yukai Chen, Donkyu Baek, Jaemin Kim, Santa Di Cataldo, Naehyuck Chang, Enrico Macii, Sara Vinco, Massimo Poncino:
A SystemC-AMS Framework for the Design and Simulation of Energy Management in Electric Vehicles. IEEE Access 7: 25779-25791 (2019) - [j107]Alessandro Aliberti, Irene Pupillo, Stefano Terna, Enrico Macii, Santa Di Cataldo, Edoardo Patti, Andrea Acquaviva:
A Multi-Patient Data-Driven Approach to Blood Glucose Prediction. IEEE Access 7: 69311-69325 (2019) - [j106]