Enrico Macii

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 197

Top Venues

CoRR

DATE

ISLPED

ACM Great Lakes Symposium on VLSI

Publications

Mohamed Amine Hamdi, Giovanni Pollo, Matteo Risso, Germain Haugou, Alessio Burrello, Enrico Macii, Massimo Poncino, Sara Vinco, Daniele Jahier Pagliari
Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices. CF (Companion) (2024)
Beatrice Alessandra Motetti, Matteo Risso, Alessio Burrello, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks. CoRR (2024)
Matteo Risso, Francesco Daghero, Beatrice Alessandra Motetti, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino, Alessio Burrello
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones. CoRR (2024)
Vittorio Fra, Benedetto Leto, Andrea Pignata, Enrico Macii, Gianvito Urgese
Natively neuromorphic LMU architecture for encoding-free SNN-based HAR on commercial edge devices. CoRR (2024)
Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays. CoRR (2024)
Khaled Alamin, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Sara Vinco, Massimo Poncino
Model-Driven Feature Engineering for Data-Driven Battery SOH Model. DATE (2024)
Mohamed Amine Hamdi, Giovanni Pollo, Matteo Risso, Germain Haugou, Alessio Burrello, Enrico Macii, Massimo Poncino, Sara Vinco, Daniele Jahier Pagliari
Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices. CoRR (2024)
Khaled Sidahmed Sidahmed Alamin, Davide Appello, Alessandro Beghi, Nicola Dall'Ora, Fabio Depaoli, Santa Di Cataldo, Franco Fummi, Sebastiano Gaiardelli, Michele Lora, Enrico Macii, Alessio Mascolini, Daniele Pagano, Francesco Ponzio, Gian Antonio Susto, Sara Vinco
An AI-Enabled Framework for Smart Semiconductor Manufacturing. DATE (2024)
Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. DATE (2024)
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. IEEE Internet Things J. 11 (1) (2024)
Luca Benfenati, Daniele Jahier Pagliari, Luca Zanatta, Yhorman Alexander Bedoya Velez, Andrea Acquaviva, Massimo Poncino, Enrico Macii, Luca Benini, Alessio Burrello
Foundation Models for Structural Health Monitoring. CoRR (2024)
Francesco Daghero, Alessio Burrello, Massimo Poncino, Enrico Macii, Daniele Jahier Pagliari
Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices. CoRR (2024)
Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii, Paolo Montuschi
Automatic Layer Freezing for Communication Efficiency in Cross-Device Federated Learning. IEEE Internet Things J. 11 (4) (2024)
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)
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)
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 (2023)
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) (2023)
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) (2023)
Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii
Communication-Efficient Federated Learning With Gradual Layer Freezing. IEEE Embed. Syst. Lett. 15 (1) (2023)
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)
Erich Malan, Valentino Peluso, Andrea Calimera, Enrico Macii
Enabling DVFS Side-Channel Attacks for Neural Network Fingerprinting in Edge Inference Services. ISLPED (2023)
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 (2023)
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 (2023)
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 (2023)
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)
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 (2023)
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 (2023)
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 (2023)
Michelangelo Barocci, Vittorio Fra, Enrico Macii, Gianvito Urgese
Review of open neuromorphic architectures and a first integration in the RISC-V PULP platform. MCSoC (2023)
Walter Gallego Gomez, Andrea Pignata, Riccardo Pignari, Vittorio Fra, Enrico Macii, Gianvito Urgese
First steps towards micro-benchmarking the Lava-Loihi neuromorphic ecosystem. MCSoC (2023)
Rafael Natalio Fontana Crespo, Davide Cannizzaro, Lorenzo Bottaccioli, Enrico Macii, Edoardo Patti, Santa Di Cataldo
A Distributed Software Platform for Additive Manufacturing. ETFA (2023)
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) (2023)
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) (2023)
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) (2023)
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)
Giacomo Zema, Valentino Peluso, Andrea Calimera, Enrico Macii
Concurrent Pipeline Stages Optimization for Embedded Keyword Spotting. AIIoT (2023)
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 (2023)
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 (2023)
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)
Alessandro Aliberti, Yao Xin, Alessio Viticchié, Enrico Macii, Edoardo Patti
Comparative analysis of neural networks techniques to forecast Airfare Prices. COMPSAC (2023)
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 (2022)
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 (2022)
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) (2022)
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 (2022)
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 (2022)
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) (2022)
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) (2022)
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)
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 (2022)
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) (2022)
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 (2022)
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)
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 (2022)
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)
Khaled Sidahmed Sidahmed Alamin, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco
A Machine Learning-based Digital Twin for Electric Vehicle Battery Modeling. CoRR (2022)
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 (2022)
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)
Alberto Bocca, Alberto Macii, Enrico Macii
A Nonlinear Two-Parameter Model for the Spatial Analysis of Solar Irradiation. COMPSAC (2022)
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 (2022)
Alessio Mascolini, Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo
High Resolution Explanation Maps for CNNs using Segmentation Networks. VL/HCC (2022)
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)
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)
Yukai Chen, Roberta Chiaro, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
C-NMT: A Collaborative Inference Framework for Neural Machine Translation. ISCAS (2022)
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)
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)
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)
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 (2022)
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 (2022)
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 (2022)
Yukai Chen, Roberta Chiaro, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
C-NMT: A Collaborative Inference Framework for Neural Machine Translation. CoRR (2022)
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 (2022)
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 (2022)
Luca Mocerino, Roberto Giorgio Rizzo, Valentino Peluso, Andrea Calimera, Enrico Macii
Adaptive Test-Time Augmentation for Low-Power CPU. CoRR (2021)
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)
Claudia De Vizia, Edoardo Patti, Enrico Macii, Lorenzo Bottaccioli
A Win-Win Algorithm for Learning the Flexibility of Aggregated Residential Appliances. IEEE Access 9 (2021)
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) (2021)
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)
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) (2021)
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)
Chen Xie, Daniele Jahier Pagliari, Andrea Calimera, Enrico Macii, Massimo Poncino
C. ISLPED (2021)
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 (2021)
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)
Luca Mocerino, Roberto Giorgio Rizzo, Valentino Peluso, Andrea Calimera, Enrico Macii
AdapTTA: Adaptive Test-Time Augmentation for Reliable Embedded ConvNets. VLSI-SoC (2021)
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)
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 (2021)
Valerio Mieuli, Francesco Ponzio, Alessio Mascolini, Enrico Macii, Elisa Ficarra, Santa Di Cataldo
A Bayesian approach to Expert Gate Incremental Learning. IJCNN (2021)
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)
Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality. CoRR (2021)
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) (2021)
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) (2021)
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 (2021)
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 (2021)
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)
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) (2021)
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) (2021)
Daniele Jahier Pagliari, Roberta Chiaro, Enrico Macii, Massimo Poncino
CRIME: Input-Dependent Collaborative Inference for Recurrent Neural Networks. IEEE Trans. Computers 70 (10) (2021)
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) (2021)
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)
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)
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 (2021)

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Publication Activity (10 Years)

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Enrico Macii