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Alessandro Verri

Alessandro Verri

D-Index & Metrics

Computer Science

D-Index
42
Citations
14308
World Ranking
8162
National Ranking
224

Overview

Alessandro Verri is affiliated with the University of Genoa in Italy and has developed research primarily in the fields of Computer Science and Earth and Planetary Sciences. Their work covers various subfields including Artificial Intelligence, Atmospheric Science, Oceanography, Computer Vision and Pattern Recognition, as well as Hematology.

The research topics Verri has contributed to include:

  • Meteorological Phenomena and Simulations
  • Context-Aware Activity Recognition Systems
  • Underwater Acoustics Research
  • Energy Load and Power Forecasting
  • Solar Radiation and Photovoltaics
  • AI in cancer detection
  • Insect Pheromone Research and Control

Verri's recent publications feature research on machine learning applications for environmental monitoring and medical science. Selected papers include:

  • "Physics informed machine learning for wind speed prediction" (2023), published in Energy
  • "A Supervised Learning Approach for Rainfall Detection From Underwater Noise Analysis" (2021), published in IEEE Journal of Oceanic Engineering
  • "Introducing Temporal Correlation in Rainfall and Wind Prediction From Underwater Noise" (2023), published in IEEE Journal of Oceanic Engineering
  • "Compounding Approaches for Wind Prediction From Underwater Noise by Supervised Learning" (2022), published in IEEE Journal of Oceanic Engineering
  • "Transplantation Induces Profound Changes in the Transcriptional Asset of Hematopoietic Stem Cells: Identification of Specific Signatures Using Machine Learning Techniques" (2020), published in Journal of Clinical Medicine

Frequent publication venues for Verri include:

  • IEEE Journal of Oceanic Engineering
  • arXiv (Cornell University)
  • eLife
  • Energy
  • Journal of Clinical Medicine

The scientist has collaborated most often with:

  • Annalisa Barla
  • Lorenzo Rosasco
  • Agnese Seminara
  • Maurizio Leotta
  • Andrea Fasciglione

Verri's research integrates diverse methodologies, particularly machine learning, to analyze and predict environmental phenomena such as wind speed and rainfall through underwater acoustics data. The application of computational techniques in biomedical contexts is also represented in their scientific portfolio, as evidenced by research exploring transcriptional changes in hematopoietic stem cells.

Best Publications

  • Introductory Techniques for 3-D Computer Vision

    Emanuele Trucco;Alessandro Verri

  • Support vector machines for 3D object recognition

    M. Pontil;A. Verri

  • A compact algorithm for rectification of stereo pairs

    Andrea Fusiello;Emanuele Trucco;Alessandro Verri

  • Are loss functions all the same

    Lorenzo Rosasco;Ernesto De Vito;Andrea Caponnetto;Michele Piana

  • A computational approach to motion perception

    S. Uras;F. Girosi;A. Verri;V. Torre

  • Motion field and optical flow: qualitative properties

    Alessandro Verri;Tomaso Poggio

  • A novel kernel method for clustering

    F. Camastra;A. Verri

  • Histogram intersection kernel for image classification

    A. Barla;F. Odone;A. Verri

  • Properties of Support Vector Machines

    Massimiliano Pontil;Alessandro Verri

  • First-order analysis of optical flow in monkey brain

    G A Orban;L Lagae;A Verri;S Raiguel

  • Against Quantitative Optical Flow

    A. Verri

  • Accelerated and Inexact Forward-Backward Algorithms

    Silvia Villa;Saverio Salzo;Luca Baldassarre;Alessandro Verri

  • Pattern Recognition with Support Vector Machines

    Seong-Whan Lee;Alessandro Verri

  • Differential techniques for optical flow

    Alessandro Verri;F Girosi;V. Torre

  • On the use of size functions for shape analysis

    A. Verri;C. Uras;P. Frosini;M. Ferri

  • Spectral algorithms for supervised learning

    L. Lo Gerfo;L. Rosasco;F. Odone;E. De Vito

  • Building kernels from binary strings for image matching

    F. Odone;A. Barla;A. Verri

  • SVD-matching using SIFT features

    Elisabetta Delponte;Francesco Isgrò;Francesca Odone;Alessandro Verri

  • Rectification with unconstrained stereo geometry

    Andrea Fusiello;Emanuele Trucco;Alessandro Verri

  • Mathematical properties of the two-dimensional motion field: from singular points to motion parameters

    A. Verri;F. Girosi;V. Torre

  • Iterative Projection Methods for Structured Sparsity Regularization

    Lorenzo Rosasco;Alessandro Verri;Matteo Santoro;Sofia Mosci

  • Some Properties of Regularized Kernel Methods

    Ernesto De Vito;Lorenzo Rosasco;Andrea Caponnetto;Michele Piana

Frequent Co-Authors

Massimiliano Pontil
Massimiliano Pontil Italian Institute of Technology
Emanuele Trucco
Emanuele Trucco University of Dundee
Luigi Varesio
Luigi Varesio MRC Laboratory of Molecular Biology
Giulio Sandini
Giulio Sandini Italian Institute of Technology
Seong-Whan Lee
Seong-Whan Lee Korea University
Andrea Fusiello
Andrea Fusiello University of Udine
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Rogier Versteeg
Rogier Versteeg University of Amsterdam

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