Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDEnrico Macii
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j132]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)- [i17]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) - 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) - [c324]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 - [c323]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 - [c322]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 - [c321]Alberto Bocca, Alberto Macii, Enrico Macii:
A Nonlinear Two-Parameter Model for the Spatial Analysis of Solar Irradiation. COMPSAC 2022: 1362-1367 - [c320]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 - [c319]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 - [c318]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 - [c317]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 - [c316]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 - [c315]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) - [c314]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 - [c313]Alberto Bocca, Alberto Macii, Enrico Macii:
Forecasting the Grid Power Demand of Charging Stations from EV Drivers' Attitude. COMPSAC 2021: 1867-1872 - [c312]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 - [c311]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 - [c310]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 - [c309]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 - [c308]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 - [c307]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 - [c306]Chen Xie, Daniele Jahier Pagliari, Andrea Calimera, Enrico Macii, Massimo Poncino:
ACME: An Energy-Efficient Approximate Bus Encoding for I2C. ISLPED 2021: 1-6 - [c305]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 - [c304]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 - [c303]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 - [c302]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 - [c301]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) - [c300]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 - [c299]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 - [c298]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 - [c297]Sara Vinco, Yukai Chen, Enrico Macii, Massimo Poncino:
A Diode-Aware Model of PV Modules from Datasheet Specifications. DATE 2020: 816-821 - [c296]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 - [c295]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 - [c294]Alberto Bocca, Alberto Macii, Enrico Macii:
A Spatial Correlation Analysis of Seismic and Flooding Events: Application to Italy. ICGDA 2020: 10-13 - [c293]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 - [c292]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 - [c291]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 - [c290]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]Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
Automated Synthesis of Energy-Efficient Reconfigurable-Precision Circuits. IEEE Access 7: 172030-172044 (2019) - [j105]Daniele Jahier Pagliari, Yves Durand, David Coriat, Edith Beigné, Enrico Macii, Massimo Poncino:
Fine-Grain Back Biasing for the Design of Energy-Quality Scalable Operators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(6): 1042-1055 (2019) - [j104]Yukai Chen, Sara Vinco, Enrico Macii, Massimo Poncino:
SystemC-AMS Thermal Modeling for the Co-simulation of Functional and Extra-Functional Properties. ACM Trans. Design Autom. Electr. Syst. 24(1): 4:1-4:26 (2019) - [j103]Sara Vinco, Nicola Bombieri, Daniele Jahier Pagliari, Franco Fummi, Enrico Macii, Massimo Poncino:
A Cross-level Verification Methodology for Digital IPs Augmented with Embedded Timing Monitors. ACM Trans. Design Autom. Electr. Syst. 24(3): 27:1-27:23 (2019) - [j102]Donkyu Baek, Yukai Chen, Alberto Bocca, Lorenzo Bottaccioli, Santa Di Cataldo, Valentina Gatteschi, Daniele Jahier Pagliari, Edoardo Patti, Gianvito Urgese, Naehyuck Chang, Alberto Macii, Enrico Macii, Paolo Montuschi, Massimo Poncino:
Battery-Aware Operation Range Estimation for Terrestrial and Aerial Electric Vehicles. IEEE Trans. Veh. Technol. 68(6): 5471-5482 (2019) - [c289]Stefano Proto, Francesco Ventura, Daniele Apiletti, Tania Cerquitelli, Elena Baralis, Enrico Macii, Alberto Macii:
PREMISES, a Scalable Data-Driven Service to Predict Alarms in Slowly-Degrading Multi-Cycle Industrial Processes. BigData Congress 2019: 139-143 - [c288]Francesco Ventura, Stefano Proto, Daniele Apiletti, Tania Cerquitelli, Simone Panicucci, Elena Baralis, Enrico Macii, Alberto Macii:
A New Unsupervised Predictive-Model Self-Assessment Approach That SCALEs. BigData Congress 2019: 144-148 - [c287]Tania Cerquitelli, David Bowden, Angelo Marguglio, Lucrezia Morabito, Chiara Napione, Simone Panicucci, Nikolaos Nikolakis, Sotiris Makris, Guido Coppo, Salvatore Andolina, Alberto Macii, Enrico Macii, Niamh O'Mahony, Paul Becker, Sven Jung:
A Fog Computing Approach for Predictive Maintenance. CAiSE Workshops 2019: 139-147 - [c286]Daniele Jahier Pagliari, Sara Vinco, Enrico Macii, Massimo Poncino:
Low-Overhead Power Trace Obfuscation for Smart Meter Privacy. DAC 2019: 111 - [c285]Francesco Barchi, Gianvito Urgese, Enrico Macii, Andrea Acquaviva:
Code Mapping in Heterogeneous Platforms Using Deep Learning and LLVM-IR. DAC 2019: 170 - [c284]Daniele Jahier Pagliari, Sara Vinco, Enrico Macii, Massimo Poncino:
Irradiance-Driven Partial Reconfiguration of PV Panels. DATE 2019: 884-889 - [c283]David Bowden, Angelo Marguglio, Lucrezia Morabito, Chiara Napione, Simone Panicucci, Nikolaos Nikolakis, Sotiris Makris, Guido Coppo, Salvatore Andolina, Alberto Macii, Enrico Macii, Niamh O'Mahony, Paul Becker, Sven Jung:
A Cloud-to-edge Architecture for Predictive Analytics. EDBT/ICDT Workshops 2019 - [c282]Daniele Jahier Pagliari, Francesco Panini, Enrico Macii, Massimo Poncino:
Dynamic Beam Width Tuning for Energy-Efficient Recurrent Neural Networks. ACM Great Lakes Symposium on VLSI 2019: 69-74 - [c281]Daniele Jahier Pagliari, Roberta Chiaro, Yukai Chen, Enrico Macii, Massimo Poncino:
Optimal Input-Dependent Edge-Cloud Partitioning for RNN Inference. ICECS 2019: 442-445 - [c280]Yukai Chen, Sara Vinco, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
A Semi-Empirical Model of PV Modules Including Manufacturing I-V Mismatch. ICECS 2019: 919-922 - [c279]Donkyu Baek, Yukai Chen, Enrico Macii, Massimo Poncino, Naehyuck Chang:
Battery-Aware Electric Truck Delivery Route Planner. ISLPED 2019: 1-6 - [c278]Daniele Jahier Pagliari, Matteo Ansaldi, Enrico Macii, Massimo Poncino:
CNN-Based Camera-less User Attention Detection for Smartphone Power Management. ISLPED 2019: 1-6 - 2018
- [j101]Alberto Bocca, Alberto Macii, Enrico Macii, Massimo Poncino:
Composable Battery Model Templates Based on Manufacturers' Data. IEEE Des. Test 35(3): 66-72 (2018) - [j100]Alberto Bocca, Yukai Chen, Alberto Macii, Enrico Macii, Massimo Poncino:
Aging and Cost Optimal Residential Charging for Plug-In EVs. IEEE Des. Test 35(6): 16-24 (2018) - [j99]Yukai Chen, Enrico Macii, Massimo Poncino:
Empirical derivation of upper and lower bounds of NBTI aging for embedded cores. Microelectron. Reliab. 80: 294-305 (2018) - [j98]Lorenzo Bottaccioli, Edoardo Patti, Enrico Macii, Andrea Acquaviva:
GIS-Based Software Infrastructure to Model PV Generation in Fine-Grained Spatio-Temporal Domain. IEEE Syst. J. 12(3): 2832-2841 (2018) - [j97]Gianvito Urgese, Francesco Barchi, Enrico Macii, Andrea Acquaviva:
Optimizing Network Traffic for Spiking Neural Network Simulations on Densely Interconnected Many-Core Neuromorphic Platforms. IEEE Trans. Emerg. Top. Comput. 6(3): 317-329 (2018) - [j96]Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
LAPSE: Low-Overhead Adaptive Power Saving and Contrast Enhancement for OLEDs. IEEE Trans. Image Process. 27(9): 4623-4637 (2018) - [j95]Donghwa Shin, Massimo Poncino, Enrico Macii:
Thermal Management of Batteries Using Supercapacitor Hybrid Architecture With Idle Period Insertion Strategy. IEEE Trans. Very Large Scale Integr. Syst. 26(6): 1159-1170 (2018) - [c277]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
Colorectal Cancer Classification using Deep Convolutional Networks - An Experimental Study. BIOIMAGING 2018: 58-66 - [c276]Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
Going Deeper into Colorectal Cancer Histopathology. BIOSTEC (Selected Papers) 2018: 114-131 - [c275]Gianvito Urgese, Luca Peres, Francesco Barchi, Enrico Macii, Andrea Acquaviva:
Multiple alignment of packet sequences for efficient communication in a many-core neuromorphic system: work-in-progress. CASES 2018: 3:1-3:2 - [c274]