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2020 – today
- 2024
[j143]Rafael Natalio Fontana Crespo, Alessandro Aliberti
, Lorenzo Bottaccioli, Edoardo Pasta, Sergej Antonello Sirigu, Enrico Macii, Giuliana Mattiazzo, Edoardo Patti:
A comparative analysis of Machine Learning Techniques for short-term grid power forecasting and uncertainty analysis of Wave Energy Converters. Eng. Appl. Artif. Intell. 138: 109352 (2024)- [j142]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): 742-757 (2024) - [j141]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): 6072-6083 (2024) - [j140]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. IEEE Trans. Emerg. Top. Comput. 12(3): 780-794 (2024) - [c343]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 - [c342]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: 1-6 - [c341]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: 1-6 - [c340]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: 1-6 - [c339]Vittorio Fra, Benedetto Leto, Andrea Pignata, Enrico Macii, Gianvito Urgese:
Natively Neuromorphic LMU Architecture for Encoding-Free SNN-Based HAR on Commercial Edge Devices. ICANN (10) 2024: 377-391 - [i30]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 abs/2402.01226 (2024) - [i29]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 abs/2402.15273 (2024) - [i28]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 abs/2404.01861 (2024) - [i27]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 abs/2404.02944 (2024) - [i26]Francesco Daghero, Alessio Burrello, Massimo Poncino, Enrico Macii, Daniele Jahier Pagliari:
Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices. CoRR abs/2406.12478 (2024) - [i25]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 abs/2407.01054 (2024) - [i24]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 abs/2407.04076 (2024) - 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) - [c338]Giacomo Zema, Valentino Peluso, Andrea Calimera, Enrico Macii:
Concurrent Pipeline Stages Optimization for Embedded Keyword Spotting. AIIoT 2023: 427-433 - [c337]Alessandro Aliberti, Yao Xin, Alessio Viticchié, Enrico Macii, Edoardo Patti:
Comparative analysis of neural networks techniques to forecast Airfare Prices. COMPSAC 2023: 1023-1029 - [c336]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 - [c335]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 - [c334]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 - [c333]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 - [c332]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 - [c331]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 - [c330]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 - [c329]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 - [c328]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: 462-469 - [c327]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: 470-477 - [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) - [c326]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 - [c325]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 - [c324]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 - [c323]Alberto Bocca, Alberto Macii, Enrico Macii:
A Nonlinear Two-Parameter Model for the Spatial Analysis of Solar Irradiation. COMPSAC 2022: 1362-1367 - [c322]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 - [c321]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 - [c320]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 - [c319]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 - [c318]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 - [c317]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 - [c316]Alessio Mascolini, Francesco Ponzio, Enrico Macii, Elisa Ficarra, Santa Di Cataldo:
High Resolution Explanation Maps for CNNs using Segmentation Networks. VL/HCC 2022: 1-3 - [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:
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