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D-Index & Metrics

Computer Science

D-Index
44
Citations
8271
World Ranking
7564
National Ranking
194

Overview

Matteo Matteucci is affiliated with the Polytechnic University of Milan in Italy. Their primary research areas span computer science and engineering, with a particular focus on subfields such as computer vision and pattern recognition, artificial intelligence, electrical and electronic engineering, aerospace engineering, and automotive engineering.

Their research topics include advanced neural network applications, robotics and sensor-based localization, autonomous vehicle technology and safety, privacy-preserving technologies in data, robotic path planning algorithms, machine learning and data classification, and advanced vision and imaging.

Matteucci has contributed to numerous scientific publications. Some of their recent papers include:

  • Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review (2020), Remote Sensing
  • Skeleton-based action recognition via spatial and temporal transformer networks (2021), Computer Vision and Image Understanding
  • The Digital Agricultural Revolution: A Bibliometric Analysis Literature Review (2021), Virtual Community of Pathological Anatomy (University of Castilla La Mancha)
  • A Deep Learning Approach for Change Points Detection in InSAR Time Series (2022), IEEE Transactions on Geoscience and Remote Sensing
  • E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent coauthors collaborating with Matteo Matteucci include Eugenio Lomurno, Simone Mentasti, Simona Ferrante, Linda Greta Dui, and Riccardo Bertoglio.

The main venues for their publications have been arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), the 2022 IEEE Intelligent Vehicles Symposium (IV), Sensors, and Frontiers in Robotics and AI.

Matteucci has also contributed to book publications, including one titled "8th International Conference on Machine Control and Guidance Proceedings. Online, 17th-18th November 2022," published by Politechnika Wrocławska, Oficyna Wydawnicza eBooks.

Best Publications

  • Deep learning for land use and land cover classification based on hyperspectral and multispectral earth observation data: A review

    Ava Vali;Sara Comai;Matteo Matteucci

  • Skeleton-based action recognition via spatial and temporal transformer networks

    Chiara Plizzari;Chiara Plizzari;Marco Cannici;Matteo Matteucci

  • ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks.

    Francesco Visin;Kyle Kastner;Kyunghyun Cho;Matteo Matteucci

  • Artificial neural networks and cluster analysis in landslide susceptibility zonation

    C. Melchiorre;M. Matteucci;A. Azzoni;A. Zanchi

  • ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation

    Francesco Visin;Adriana Romero;Kyunghyun Cho;Matteo Matteucci

  • Sleep Staging Based on Signals Acquired Through Bed Sensor

    Juha M Kortelainen;Martin O Mendez;Anna Maria Bianchi;Matteo Matteucci

  • Spatial Temporal Transformer Network for Skeleton-Based Action Recognition

    Chiara Plizzari;Marco Cannici;Matteo Matteucci

  • Detecting Intrusions through System Call Sequence and Argument Analysis

    Federico Maggi;Matteo Matteucci;Stefano Zanero

  • Online detection of p300 and error potentials in a BCI speller

    Bernardo Dal Seno;Matteo Matteucci;Luca Mainardi

  • Sleep Apnea Screening by Autoregressive Models From a Single ECG Lead

    M.O. Mendez;A.M. Bianchi;M. Matteucci;S. Cerutti

  • Rawseeds ground truth collection systems for indoor self-localization and mapping

    Simone Ceriani;Giulio Fontana;Alessandro Giusti;Daniele Marzorati

  • ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation

    Francesco Visin;Marco Ciccone;Adriana Romero;Kyle Kastner

  • Automatic screening of obstructive sleep apnea from the ECG based on empirical mode decomposition and wavelet analysis.

    M O Mendez;J Corthout;S Van Huffel;M Matteucci

  • A revaluation of frame difference in fast and robust motion detection

    Davide A. Migliore;Matteo Matteucci;Matteo Naccari

  • The Utility Metric: A Novel Method to Assess the Overall Performance of Discrete Brain–Computer Interfaces

    B.Dal Seno;M. Matteucci;L.T. Mainardi

  • An Evaluation Methodology for Collaborative Recommender Systems

    P. Cremonesi;R. Turrin;E. Lentini;M. Matteucci

  • Deep Learning for SAR Image Despeckling

    Francesco Lattari;Borja Gonzalez Leon;Francesco Asaro;Alessio Rucci

  • Sleep staging from Heart Rate Variability: time-varying spectral features and Hidden Markov Models

    Martin Oswaldo Mendez;Matteo Matteucci;Vincenza Castronovo;Luigi Ferini-Strambi

  • Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras

    Marco Cannici;Marco Ciccone;Andrea Romanoni;Matteo Matteucci

  • Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices

    Alessandro Brusaferri;Matteo Matteucci;Pietro Portolani;Andrea Vitali

  • Detection of Sleep Apnea from surface ECG based on features extracted by an Autoregressive Model

    M.O. Mendez;D.D. Ruini;O.P. Villantieri;M. Matteucci

  • Automatic Error Detection and Reduction for an Odometric Sensor based on Two Optical Mice

    A. Bonarini;M. Matteucci;M. Restelli

Frequent Co-Authors

Daniele Nardi
Daniele Nardi Sapienza University of Rome
Vincenzo Piuri
Vincenzo Piuri University of Milan
Fabio Scotti
Fabio Scotti University of Milan
Luca Iocchi
Luca Iocchi Sapienza University of Rome
Cesare Alippi
Cesare Alippi Polytechnic University of Milan
Aaron Courville
Aaron Courville University of Montreal
Kyunghyun Cho
Kyunghyun Cho New York University
Yoshua Bengio
Yoshua Bengio University of Montreal
Mario Giovanni Terzano
Mario Giovanni Terzano University of Parma
Liborio Parrino
Liborio Parrino University of Parma

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