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Computer Science

D-Index
49
Citations
13235
World Ranking
5784
National Ranking
132

Overview

Marcello Pelillo is affiliated with Ca Foscari University of Venice in Italy. Their research work focuses primarily on computer science, with specific emphasis on computer vision and pattern recognition, artificial intelligence, signal processing, computational theory and mathematics, and statistical and nonlinear physics.

They have published extensively in various domains, with a strong presence in several key fields of study and subfields. The main fields of study include:

  • Computer Science

The subfields of study covered in their publications are:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Signal Processing
  • Computational Theory and Mathematics
  • Statistical and Nonlinear Physics

Their main topics of work cover a range of specialized areas, such as:

  • Image Processing and 3D Reconstruction
  • Adversarial Robustness in Machine Learning
  • Advanced Image and Video Retrieval Techniques
  • Handwritten Text Recognition Techniques
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications
  • Advanced Graph Neural Networks

Pelillo has contributed noteworthy recent publications, including:

  • "Asymmetric Siamese Networks for Semantic Change Detection in Aerial Images" (2021) published in IEEE Transactions on Geoscience and Remote Sensing
  • "Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning" (2023) published in ACM Computing Surveys
  • "HELP: An LSTM-based approach to hyperparameter exploration in neural network learning" (2021) published in Neurocomputing
  • "A black-box adversarial attack for poisoning clustering" (2021) published in Pattern Recognition
  • "Locality-aware subgraphs for inductive link prediction in knowledge graphs" (2023) published in Pattern Recognition Letters

The venues where Pelillo has frequently published include:

  • arXiv (Cornell University)
  • Pattern Recognition
  • Zenodo (CERN European Organization for Nuclear Research)
  • Pattern Recognition Letters
  • Neurocomputing

Pelillo has collaborated repeatedly with several co-authors, such as:

  • Sebastiano Vascon (33 publications)
  • Antonio Emanuele Cinà (19 publications)
  • Battista Biggio (15 publications)
  • Fabio Roli (15 publications)
  • Ambra Demontis (13 publications)

In addition to journal articles, they have contributed to books published primarily by Springer Science+Business Media and Frontiers Media. The Springer publications include multiple titles such as:

  • Analysis of Images, Social Networks and Texts (2020, 2021)
  • Structural, Syntactic, and Statistical Pattern Recognition (2021)
  • Image Analysis and Processing - ICIAP 2022 (2022)
  • Recent Trends in Analysis of Images, Social Networks and Texts (2021)

They also contributed to the volume titled "2022 Computer Science - Editor's Pick" published by Frontiers Media in 2023.

Best Publications

  • DOTA: A Large-Scale Dataset for Object Detection in Aerial Images

    Gui-Song Xia;Xiang Bai;Jian Ding;Zhen Zhu

  • The maximum clique problem

    Immanuel M. Bomze;Marco Budinich;Panos M. Pardalos;Marcello Pelillo

  • Matching hierarchical structures using association graphs

    M. Pelillo;K. Siddiqi;S.W. Zucker

  • An iterative pruning algorithm for feedforward neural networks

    G. Castellano;A.M. Fanelli;M. Pelillo

  • Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

    Jian Ding;Nan Xue;Gui-Song Xia;Xiang Bai

  • Dominant Sets and Pairwise Clustering

    M. Pavan;M. Pelillo

  • Structured class-labels in random forests for semantic image labelling

    Peter Kontschieder;Samuel Rota Bulo;Horst Bischof;Marcello Pelillo

  • A new graph-theoretic approach to clustering and segmentation

    M. Pavan;M. Pelillo

  • Replicator Equations, Maximal Cliques, and Graph Isomorphism

    Marcello Pelillo

  • Asymmetric Siamese Networks for Semantic Change Detection in Aerial Images

    Kunping Yang;Gui-Song Xia;Zicheng Liu;Bo Du

  • Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition

    Chu Wang;Marcello Pelillo;Kaleem Siddiqi

  • A Game-Theoretic Approach to Hypergraph Clustering

    Samuel R. Bulò;Marcello Pelillo

  • Is data clustering in adversarial settings secure

    Battista Biggio;Ignazio Pillai;Samuel Rota Bulò;Davide Ariu

  • Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning

    Unknown

  • The Dynamics of Nonlinear Relaxation Labeling Processes

    Marcello Pelillo

  • A Game-Theoretic Approach to Hypergraph Clustering

    Samuel Rota Bul #x F;Marcello Pelillo

  • Approximating the maximum weight clique using replicator dynamics

    I.R. Bomze;M. Pelillo;V. Stix

  • Learning compatibility coefficients for relaxation labeling processes

    M. Pelillo;M. Refice

  • Matching as a non-cooperative game

    Andrea Albarelli;Samuel Rota Bulo;Andrea Torsello;Marcello Pelillo

  • Graph-based quadratic optimization: A fast evolutionary approach

    Samuel Rota Bulò;Marcello Pelillo;Immanuel M. Bomze

  • Polynomial-time metrics for attributed trees

    A. Torsello;D. Hidovic-Rowe;M. Pelillo

  • Relaxation labeling networks for the maximum clique problem

    Marcello Pelillo

Frequent Co-Authors

Samuel Rota Bulò
Samuel Rota Bulò Facebook (United States)
Andrea Torsello
Andrea Torsello Ca Foscari University of Venice
Edwin R. Hancock
Edwin R. Hancock University of York
Andrea Prati
Andrea Prati University of Parma
Kaleem Siddiqi
Kaleem Siddiqi McGill University
Vittorio Murino
Vittorio Murino University of Verona
Steven W. Zucker
Steven W. Zucker Yale University
Mário A. T. Figueiredo
Mário A. T. Figueiredo Instituto Superior Técnico
Horst Bischof
Horst Bischof Graz University of Technology
Marco Cristani
Marco Cristani University of Verona

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