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Enrico Macii

Professore ordinario

Politecnico di Torino

Italy

Research Interests

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Articles (20)

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2027

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2026

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Collaborators (8)

Gianvito Urgese

Assistant Professor

Politecnico di Torino

ITALY

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Lorenzo Bottaccioli

Assistant Professor

Politecnico di Torino

ITALY

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LUCA BENINI

Professor

Eidgenössische Technische Hochschule Zürich

SWITZERLAND

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Paolo Montuschi

Full professor

Politecnico di Torino

ITALY

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Andrea ACQUAVIVA

University of Bologna

ITALY

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Edoardo Patti

Polytechnic University of Turin

ITALY

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Alessio Burrello

Collaborator

ETH Zürich

SWITZERLAND

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Daniele Jahier Pagliari

Associate Professor

Polytechnic University of Turin

ITALY

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Enrico Macii

Research Interests

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Articles (20)

Exploring Stimulus-Response Dynamics in Neuromorphic and Classical Hardware: How Inference Timing Affects Results

OverNeuron: a Spiking Recurrent Cell as Neuromorphic LSTM by Higher-Order Connectivity

End-to-end Automated Deep Neural Network Optimization for PPG-based Blood Pressure Estimation on Wearables

Variable-precision neuromorphic state space model for on-edge activity classification

Refined Two-Sided Learning Rate Tuning for Robust Evaluation in Federated Learning

Exploring Spiking Neuron Model Behaviours Through the Analysis of Parameter Space

FedAGF: Adaptive Concurrency via Gradient Feedback for Mitigating Extreme Label Skew in Budget-Constrained Federated Learning

Heterogeneous SoC Integrating an Open-Source Recurrent SNN Accelerator for Neuromorphic Edge Computing on FPGA

MAUPITI: On-Device Prototype-Based Learning on a Smart Infrared Sensor

Runtime Feature Compression for Adaptive Keyword Spotting on Embedded Systems

Self-Supervised Anomaly Detection for Industrial Machines With Sensor Distance Classification

Efficient Solution Validation of Constraint Satisfaction Problems on Neuromorphic Hardware: The Case of Sudoku Puzzles

Path Integral Quantum Annealing Optimizations Validated on 0-1 Multidimensional Knapsack Problem

Foundation Models for Structural Health Monitoring

Advancing Electric Vehicle Battery Management: A Data-Driven Digital Twin Approach for Real-Time Monitoring and Performance Enhancement

Physics-Informed vs. Deep Learning: Indoor Temperature Prediction with Different Data Availability

Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices

Neu-BrAuER: A Neuromorphic Braille Letters Audio-Reader for Commercial Edge Devices

Enhancing Neural Architecture Search With Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices

Joint Pruning and Channel-Wise Mixed-Precision Quantization for Efficient Deep Neural Networks

Collaborators (8)

Gianvito Urgese

Lorenzo Bottaccioli

LUCA BENINI

Paolo Montuschi

Andrea ACQUAVIVA

Edoardo Patti

Alessio Burrello

Daniele Jahier Pagliari

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