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Le informazioni sulla didattica, sulla ricerca e sui compiti istituzionali riportate in questa pagina sono certificate dall'Ateneo; ulteriori informazioni, redatte a cura del docente, sono disponibili sulla pagina web personale e nel curriculum vitae indicati nella scheda.
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Informazioni
DocenteMatteucci Matteo
QualificaProfessore ordinario a tempo pieno
Dipartimento d'afferenzaDipartimento di Elettronica, Informazione e Bioingegneria
Settore Scientifico DisciplinareIINF-05/A - Sistemi Di Elaborazione Delle Informazioni
Curriculum VitaeScarica il CV (988.89Kb - 20/11/2020)
OrcIDhttps://orcid.org/0000-0002-8306-6739

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DipartimentoPianoUfficioGiornoOrarioTelefonoFaxNote
Dipartimento di Elettronica e Informazione (DEI)---------Dalle :
Alle : 		02.2399.3470---Ricevimento su appuntamento telefonico o via email con il docente.
E-mailmatteo.matteucci@polimi.it
Pagina web redatta a cura del docentehttp://www.dei.polimi.it/people/matteucci

Fonte dati: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2025 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributo in Atti di convegno
FARSE-CNN: Fully Asynchronous, Recurrent and Sparse Event-Based CNN (Mostra >>)
Articoli su riviste
A neural approach to the Turing Test: The role of emotions (Mostra >>)
Federated Knowledge Recycling: Privacy-preserving synthetic data sharing (Mostra >>)
Synthetic image learning: Preserving performance and preventing Membership Inference Attacks (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2024 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Abstract in Atti di convegno
Deep generative models to improve polygenic risk scores’ accuracy and portability across ancestries and admixtures (Mostra >>)
Poster
Poster: Digital Twins of the EM Environment Benchmark for Ray Launching Models (Mostra >>)
Contributo in Atti di convegno
A Deep-Learning Technique to Locate Cryptographic Operations in Side-Channel Traces (Mostra >>)
A Multi-Modal Simulation Framework to Enable Digital Twin-based V2X Communications in Dynamic Environments (Mostra >>)
AI-SPRINT: Design and Runtime Framework for Accelerating the Development of AI Applications in the Computing Continuum (Mostra >>)
An Efficient Neural Architecture Search Model for Medical Image Classification (Mostra >>)
BTGenBot: Behavior Tree Generation for Robotic Tasks with Lightweight LLMs (Mostra >>)
Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion? (Mostra >>)
Digital Pre-Distortion with Deep Reinforcement Learning for 5G Power Amplifiers (Mostra >>)
Emotional State Evaluation in Driving Simulations: PC Versus Virtual Theater (Mostra >>)
Event-based eye tracking for smart eyewear (Mostra >>)
Harnessing the computing continuum across personalized healthcare, maintenance and inspection, and Farming 4.0 (Mostra >>)
Heterogeneous Data Fusion for Accurate Road User Tracking: A Distributed Multi-Sensor Collaborative Approach (Mostra >>)
Latent Neural Cellular Automata for Resource-Efficient Image Restoration (Mostra >>)
More than the Sum of Its Parts: Ensembling Backbone Networks for Few-Shot Segmentation (Mostra >>)
On the Digitization of the EM Environment: A Comparison of Ray Launching Solutions (Mostra >>)
OptimusLine: Consistent Road Line Detection Through Time (Mostra >>)
RadarLCD: Learnable Radar-based Loop Closure Detection Pipeline (Mostra >>)
Self-Supervised Vision Transformers for Scalable Anomaly Detection over Images (Mostra >>)
Stable Diffusion Dataset Generation for Downstream Classification Tasks (Mostra >>)
Tackling Environmental Variability: Few Shot Segmentation for Domain-Adaptive Weed Segmentation in Agricultural Robotics (Mostra >>)
The Empirical Impact of Forgetting and Transfer in Continual Visual Odometry (Mostra >>)
The Impact of Run-Time Variability on Side-Channel Attacks Targeting FPGAs (Mostra >>)
Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning (Mostra >>)
Unveiling Real-World Company Hidden Communication Patterns: Comparing Informal Large-Scale Email Network and Formal Structure (Mostra >>)
Articoli su riviste
A Deep Learning-assisted Template Attack Against Dynamic Frequency Scaling Countermeasures (Mostra >>)
Age group discrimination via free handwriting indicators (Mostra >>)
An Automated Machine Learning Framework for Adaptive and Optimized Hyperspectral-Based Land Cover and Land-Use Segmentation (Mostra >>)
Automatic Spontaneous Speech Analysis for the Detection of Cognitive Functional Decline in Older Adults: Multilanguage Cross-Sectional Study (Mostra >>)
Deep Learning-based Target-To-User Association in Integrated Sensing and Communication Systems (Mostra >>)
Semantic interpretation of raw survey vehicle sensory data for lane-level HD map generation (Mostra >>)
Toward Real-Time Digital Twins of EM Environments: Computational Benchmark for Ray Launching Software (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2023 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributi su volumi (Capitolo o Saggio)
Contextual Challenges to Explainable Driving Automation: The Case of Machine Perception (Mostra >>)
Contributo in Atti di convegno
A Map-Free LiDAR-Based System for Autonomous Navigation in Vineyards (Mostra >>)
A Novel Decision Mining Method Considering Multiple Model Paths (Mostra >>)
A Semantic-Oriented Pipeline for 3D Reconstruction of Vehicles in Urban Scenes (Mostra >>)
Beyond Image-Plane-Level: A Dataset for Validating End-to-End Line Detection Algorithms for Autonomous Vehicles (Mostra >>)
Bridging the gap: enhancing the utility of synthetic data via post-processing techniques (Mostra >>)
CISPc: Embedding Images and Point Clouds in a Joint Concept Space by Contrastive Learning (Mostra >>)
Continual Cross-Dataset Adaptation in Road Surface Classification (Mostra >>)
CycleSAR: SAR image despeckling as unpaired image-to-image translation (Mostra >>)
D3VIL-SLAM: 3D Visual Inertial LiDAR SLAM for Outdoor Environments (Mostra >>)
Discriminative adversarial privacy: balancing accuracy and membership privacy in neural networks (Mostra >>)
Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits (Mostra >>)
Heterogeneous Datasets for Federated Survival Analysis Simulation (Mostra >>)
Heterogeneous Datasets for Federated Survival Analysis Simulation (Mostra >>)
Modelling Robot Architectures with AADL (Mostra >>)
On the utility and protection of optimization with differential privacy and classic regularization techniques (Mostra >>)
Semantic Bird's-Eye View Road Line Mapping (Mostra >>)
Surgical Fine-Tuning for Grape Bunch Segmentation Under Visual Domain Shifts (Mostra >>)
Symmetric Object Pose Estimation via Flexible Modular CNN (Mostra >>)
Articoli su riviste
A comparative study of Fourier transform and CycleGAN as domain adaptation techniques for weed segmentation (Mostra >>)
A decision support system for Rey-Osterrieth complex figure evaluation (Mostra >>)
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits (Mostra >>)
Deep Learning and Procrustes Analysis for Early Dysgraphia Risk Detection with a Tablet Application (Mostra >>)
Extended Object Tracking in Curvilinear Road Coordinates for Autonomous Driving (Mostra >>)
Investigating Visual Perception Impairments through Serious Games and Eye Tracking to Anticipate Handwriting Difficulties (Mostra >>)
On the precision of 6 DoF IMU-LiDAR based localization in GNSS-denied scenarios (Mostra >>)
POPNASv3: A pareto-optimal neural architecture search solution for image and time series classification (Mostra >>)
Scaling survival analysis in healthcare with federated survival forests: A comparative study on heart failure and breast cancer genomics (Mostra >>)
Stuck pipe prediction from rare events in oil drilling operations (Mostra >>)
Traffic lights detection and tracking for HD map creation (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2022 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Abstract in Atti di convegno
Activity and Age Classification from Handwritten Samples Acquired with a Smart Ink Pen (Mostra >>)
Contributi su volumi (Capitolo o Saggio)
AI, Machine Learning e Data Mining (Mostra >>)
Contributo in Atti di convegno
6 DoF Pose Regression via Differentiable Rendering (Mostra >>)
A Framework to Study Autonomous Driving User Acceptance in the Wild (Mostra >>)
Advances in Real-Time Online Vehicle Camera Calibration via Road Line Markings Parallelism Enforcement (Mostra >>)
Can Free Drawing Anticipate Handwriting Difficulties? A Longitudinal Study (Mostra >>)
Clothoidal Mapping of Road Line Markings for Autonomous Driving High-Definition Maps (Mostra >>)
Detection and mapping of crop weeds and litter for agricultural robots (Mostra >>)
E^2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition (Mostra >>)
End-to-End Learning of Autonomous Vehicle Lateral Control via MPC Training (Mostra >>)
Event-Based Object Detection and Tracking - A Traffic Monitoring Use Case - (Mostra >>)
Experimental Implementation of a Trajectory Planner for Autonomous Driving (Mostra >>)
Improving Multi-View Stereo via Super-Resolution (Mostra >>)
MCS-SLAM: Multi-Cues Multi-Sensors Fusion SLAM (Mostra >>)
Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A* (Mostra >>)
Object tracking with low resolution Lidar and Radar fusion, a comparison (Mostra >>)
POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique (Mostra >>)
Patchwise Sparse Dictionary Learning from pre-trained Neural Network Activation Maps for Anomaly Detection in Images (Mostra >>)
Position-agnostic Algebraic Estimation of 6G V2X MIMO Channels via Unsupervised Learning (Mostra >>)
SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning (Mostra >>)
Trust-No-Pixel: A Remarkably Simple Defense against Adversarial Attacks Based on Massive Inpainting (Mostra >>)
Uncertainty in Predictive Process Monitoring (Mostra >>)
Articoli su riviste
A Deep Learning Approach for Change Points Detection in InSAR Time Series (Mostra >>)
A feedback linearisation algorithm for single-track models with structural stability properties (Mostra >>)
ART-SLAM: Accurate Real-Time 6DoF LiDAR SLAM (Mostra >>)
Accurate and highly interpretable prediction of gene expression from histone modifications (Mostra >>)
Clothoid-Based Lane-Level High-Definition Maps: Unifying Sensing and Control Models (Mostra >>)
Deep Learning of Transferable MIMO Channel Modes for 6G V2X Communications (Mostra >>)
Deep learning for asteroids autonomous terrain relative navigation (Mostra >>)
Identification and characterization of learning weakness from drawing analysis at the pre-literacy stage (Mostra >>)
Operationalizing the Ethics of Connected and Automated Vehicles. An Engineering Perspective (Mostra >>)
Performance Models in Robotics with a Use Case on SLAM (Mostra >>)
Probabilistic electric load forecasting through Bayesian Mixture Density Networks (Mostra >>)


Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2021 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributo in Atti di convegno
A serious game to anticipate handwriting difficulties screening through visual perception assessment (Mostra >>)
Advancing Design and Runtime Management of AI Applications with AI-SPRINT (Mostra >>)
Design of a prototypical platform for autonomous and connected vehicles (Mostra >>)
Digital Tools for Handwriting Proficiency Evaluation in Children (Mostra >>)
Facetwise Mesh Refinement for Multi-View Stereo (Mostra >>)
Hyperspectral Image Analysis for Automatic Detection and Discrimination of Residual Manufacturing Contaminants (Mostra >>)
N-ROD: A Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation (Mostra >>)
On the Design of the Agri-Food Competition for Robot Evaluation (ACRE) (Mostra >>)
Pareto-Optimal Progressive Neural Architecture Search (Mostra >>)
SECI-GAN: Semantic and Edge Completion for dynamic objects removal (Mostra >>)
Spatial Temporal Transformer Network for Skeleton-based Action Recognition (Mostra >>)
Two algorithms for vehicular obstacle detection in sparse pointcloud (Mostra >>)
Articoli su riviste
An integrated algorithm for ego-vehicle and obstacles state estimation for autonomous driving (Mostra >>)
DA4Event: Towards Bridging the Sim-to-Real Gap for Event Cameras Using Domain Adaptation (Mostra >>)
Data-driven indicators for the detection and prediction of stuck-pipe events in oil&gas drilling operations (Mostra >>)
Predictive modeling of gene expression regulation (Mostra >>)
Reduction of pesticide use in fresh-cut salad production through artificial intelligence (Mostra >>)
Skeleton-based action recognition via spatial and temporal transformer networks (Mostra >>)
The Digital Agricultural Revolution: A Bibliometric Analysis Literature Review (Mostra >>)
Vehicle Localization Using 3D Building Models and Point Cloud Matching (Mostra >>)
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Area Servizi ICT
24/04/2025