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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.
Informazioni sul docente
DocenteMatteucci Matteo
QualificaProfessore ordinario a tempo pieno
Dipartimento d'afferenzaDipartimento di Elettronica, Informazione e Bioingegneria
Settore Scientifico DisciplinareING-INF/05 - Sistemi Di Elaborazione Delle Informazioni
Curriculum VitaeScarica il CV (988.89Kb - 20/11/2020)

Orario di ricevimento
Dipartimento di Elettronica e Informazione (DEI)------Dalle :
Alle :
02.2399.3470--Ricevimento su appuntamento telefonico o via email con il docente.
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 2023 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributo in Atti di convegno
Heterogeneous Datasets for Federated Survival Analysis Simulation (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 >>)
Deep Learning and Procrustes Analysis for Early Dysgraphia Risk Detection with a Tablet Application (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 >>)
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 >>)
On the utility and protection of optimization with differential privacy and classic regularization techniques (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 >>)
Extended Object Tracking in Curvilinear Road Coordinates for Autonomous Driving (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 >>)

Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2020 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Abstract in Atti di convegno
Quantitative Benchmarking in Agricultural Robotics (Mostra >>)
Contributi su volumi (Capitolo o Saggio)
Exposing and characterizing subpopulations of distinctly regulated genes by k-plane regression (Mostra >>)
Lessons Learned in Vineyard Monitoring and Protection from a Ground Autonomous Vehicle (Mostra >>)
Contributo in Atti di convegno
A Data-Based Approach for the Prediction of Stuck-Pipe Events in Oil Drilling Operations (Mostra >>)
A Differentiable Recurrent Surface for Asynchronous Event-Based Data (Mostra >>)
A Tablet-Based App to Discriminate Children at Potential Risk of Handwriting Alterations in a Preliteracy Stage (Mostra >>)
Advances in centerline estimation for autonomous lateral control (Mostra >>)
Extracting finite state representations from recurrent models of Industrial Cyber Physical Systems (Mostra >>)
Hybrid system identification using a mixture of NARX experts with LASSO-based feature selection (Mostra >>)
LiDAR - Stereo Camera Fusion for Accurate Depth Estimation (Mostra >>)
Multi-State End-to-End Learning for Autonomous Vehicle Lateral Control (Mostra >>)
Play-Draw-Write: usability and acceptance of a tablet app for the early screening of handwriting difficulties in kindergartners (Mostra >>)
Probabilistic day-ahead energy price forecast by a Mixture Density Recurrent Neural Network (Mostra >>)
Robust vehicle pose estimation from vision and INS fusion (Mostra >>)
Articoli su riviste
A Tablet App for Handwriting Skill Screening at the Preliteracy Stage: Instrument Validation Study (Mostra >>)
Deep learning for land use and land cover classification based on hyperspectral and multispectral earth observation data: A review (Mostra >>)
Learning behavioral models by recurrent neural networks with discrete latent representations with application to a flexible industrial conveyor (Mostra >>)

Elenco delle pubblicazioni e dei prodotti della ricerca per l'anno 2019 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributo in Atti di convegno
Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras (Mostra >>)
Attention mechanisms for object recognition with event-based cameras (Mostra >>)
Day ahead electricity price forecast by NARX model with LASSO based features selection (Mostra >>)
Dense 3D visual mapping via semantic simplification (Mostra >>)
From Models to Software Through Automatic Transformations: An AADL to ROS End-to-End Toolchain (Mostra >>)
Image segmentation on embedded systems via superpixel convolutional networks (Mostra >>)
Multi-layer occupancy grid mapping for autonomous vehicles navigation (Mostra >>)
Nonlinear system identification using a recurrent network in a Bayesian framework (Mostra >>)
TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo (Mostra >>)
Toward model-based benchmarking of robot components (Mostra >>)
Towards a Plug and Play Architecture for a Materialflow Handling System (Mostra >>)
Articoli su riviste
Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices (Mostra >>)
Benchmarking Functionalities of Domestic Service Robots Through Scientific Competitions (Mostra >>)
Deep learning for SAR image despeckling (Mostra >>)
Mesh-based camera pairs selection and occlusion-aware masking for mesh refinement (Mostra >>)
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