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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the lecturer, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information
LecturerMatteucci Matteo
QualificationFull professor full time
Belonging DepartmentDipartimento di Elettronica, Informazione e Bioingegneria
Scientific-Disciplinary SectorIINF-05/A - Information Processing Systems
Curriculum VitaeDownload CV (988.89Kb - 20/11/2020)
OrcIDhttps://orcid.org/0000-0002-8306-6739

Contacts
Office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Dipartimento di Elettronica e Informazione (DEI)---------From :
To :
02.2399.3470---Upon appointment reservation via email or phone
E-mailmatteo.matteucci@polimi.it
Personal websitehttp://www.dei.polimi.it/people/matteucci

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2025 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
FARSE-CNN: Fully Asynchronous, Recurrent and Sparse Event-Based CNN (Show >>)
Journal Articles
A neural approach to the Turing Test: The role of emotions (Show >>)
Federated Knowledge Recycling: Privacy-preserving synthetic data sharing (Show >>)
Synthetic image learning: Preserving performance and preventing Membership Inference Attacks (Show >>)


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


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


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


List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A serious game to anticipate handwriting difficulties screening through visual perception assessment (Show >>)
Advancing Design and Runtime Management of AI Applications with AI-SPRINT (Show >>)
Design of a prototypical platform for autonomous and connected vehicles (Show >>)
Digital Tools for Handwriting Proficiency Evaluation in Children (Show >>)
Facetwise Mesh Refinement for Multi-View Stereo (Show >>)
Hyperspectral Image Analysis for Automatic Detection and Discrimination of Residual Manufacturing Contaminants (Show >>)
N-ROD: A Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation (Show >>)
On the Design of the Agri-Food Competition for Robot Evaluation (ACRE) (Show >>)
Pareto-Optimal Progressive Neural Architecture Search (Show >>)
SECI-GAN: Semantic and Edge Completion for dynamic objects removal (Show >>)
Spatial Temporal Transformer Network for Skeleton-based Action Recognition (Show >>)
Two algorithms for vehicular obstacle detection in sparse pointcloud (Show >>)
Journal Articles
An integrated algorithm for ego-vehicle and obstacles state estimation for autonomous driving (Show >>)
DA4Event: Towards Bridging the Sim-to-Real Gap for Event Cameras Using Domain Adaptation (Show >>)
Data-driven indicators for the detection and prediction of stuck-pipe events in oil&gas drilling operations (Show >>)
Predictive modeling of gene expression regulation (Show >>)
Reduction of pesticide use in fresh-cut salad production through artificial intelligence (Show >>)
Skeleton-based action recognition via spatial and temporal transformer networks (Show >>)
The Digital Agricultural Revolution: A Bibliometric Analysis Literature Review (Show >>)
Vehicle Localization Using 3D Building Models and Point Cloud Matching (Show >>)
manifesti v. 3.9.3 / 3.9.3
Area Servizi ICT
24/04/2025