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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 2024 (Mostra tutto | Nascondi tutto)
Tipologia Titolo Pubblicazione/Prodotto
Contributo in Atti di convegno
Emotional State Evaluation in Driving Simulations: PC Versus Virtual Theater (Mostra >>)
Two Steps Forward and One Behind: Rethinking Time Series Forecasting with Deep Learning (Mostra >>)
Articoli su riviste
Semantic interpretation of raw survey vehicle sensory data for lane-level HD map generation (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 >>)
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 >>)
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 >>)
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 >>)
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