World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6001
World Ranking
10250
National Ranking
246

Overview

Alexis Joly is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research focuses primarily on environmental science and agricultural and biological sciences, with significant contributions also in subfields such as ecological modeling, plant science, ecology, ecology, evolution, behavior and systematics, and molecular biology.

Joly has published extensively on topics related to species distribution and climate change, remote sensing in agriculture, plant and animal studies, smart agriculture and artificial intelligence, ecology and vegetation dynamics studies, animal vocal communication and behavior, and genomics and phylogenetic studies.

Recent publications by Joly include the following:

  • New perspectives on plant disease characterization based on deep learning, 2020, Computers and Electronics in Agriculture
  • Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots, 2020, Applications in Plant Sciences
  • Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research, 2020, BioScience
  • Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment, 2021, PLoS Computational Biology
  • Attention-Based Recurrent Neural Network for Plant Disease Classification, 2020, Frontiers in Plant Science

Frequent coauthors collaborating with Joly include Pierre Bonnet, Hervé Goëau, Maximilien Servajean, Titouan Lorieul, and Christophe Botella.

Joly's work is published in various venues, often appearing in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • Frontiers in Plant Science
  • Biodiversity Information Science and Standards
  • Agritrop (Cirad)

Among book publications, Joly contributed to a volume published by the Centre National de la Recherche Scientifique titled On the Edge of the Sixth Mass Extinction in Biodiversity Hotspots: Facts, needs, solutions and opportunities in Thailand and adjacent countries (2024).

Best Publications

  • Video copy detection: a comparative study

    Julien Law-To;Li Chen;Alexis Joly;Ivan Laptev

  • Content-Based Copy Retrieval Using Distortion-Based Probabilistic Similarity Search

    A. Joly;O. Buisson;C. Frelicot

  • New perspectives on plant disease characterization based on deep learning

    Sue Han Lee;Hervé Goëau;Pierre Bonnet;Alexis Joly

  • Going deeper in the automated identification of Herbarium specimens.

    Jose Mario Carranza-Rojas;Hervé Goeau;Pierre Bonnet;Erick Mata-Montero

  • Logo retrieval with a contrario visual query expansion

    Alexis Joly;Olivier Buisson

  • A posteriori multi-probe locality sensitive hashing

    Alexis Joly;Olivier Buisson

  • Random maximum margin hashing

    Alexis Joly;Olivier Buisson

  • Interactive plant identification based on social image data

    Alexis Joly;Hervé Goëau;Pierre Bonnet;Vera Bakić

  • LifeCLEF 2015: Multimedia Life Species Identification Challenges

    Alexis Joly;Hervé Goëau;Hervé Glotin;Concetto Spampinato

  • The imageCLEF plant identification task 2013

    Hervé Goëau;Alexis Joly;Pierre Bonnet;Vera Bakic

  • LifeCLEF 2016: Multimedia Life Species Identification Challenges

    Alexis Joly;Hervè Goëau;Hervè Glotin;Concetto Spampinato

  • A look inside the Pl@ntNet experience

    Alexis Joly;Pierre Bonnet;Hervé Goëau;Julien Barbe

  • LifeCLEF Plant Identification Task 2014

    Hervé Goëau;Alexis Joly;Pierre Bonnet;Souheil Selmi

  • The ImageCLEF 2013 Plant Identification Task

    Hervé Goëau;Pierre Bonnet;Alexis Joly;Vera Bakić

  • Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots.

    Julien Champ;Adan Mora-Fallas;Hervé Goëau;Erick Mata-Montero;Erick Mata-Montero

  • Plant identification based on noisy web data: the amazing performance of deep learning (LifeCLEF 2017)

    Hervé Goëau;Pierre Bonnet;Alexis Joly

  • Robust content-based video copy identification in a large reference database

    Alexis Joly;Carl Frélicot;Olivier Buisson

  • The ImageCLEF 2011 plant images classi cation task

    Hervé Goëau;Pierre Bonnet;Alexis Joly;Nozha Boujemaa

  • Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research.

    Katelin D. Pearson;Gil Nelson;Myla F.J. Aronson;Pierre Bonnet

  • Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment.

    Benjamin Deneu;Benjamin Deneu;Maximilien Servajean;Maximilien Servajean;Pierre Bonnet;Christophe Botella;Christophe Botella

  • LifeCLEF 2014: Multimedia Life Species Identification Challenges

    Alexis Joly;Hervé Goëau;Hervé Glotin;Concetto Spampinato

  • The ImageCLEF 2012 Plant Identification Task

    Hervé Goëau;Pierre Bonnet;Alexis Joly;Itheri Yahiaoui

Frequent Co-Authors

Nozha Boujemaa
Nozha Boujemaa French Institute for Research in Computer Science and Automation - INRIA
Henning Müller
Henning Müller University of Applied Sciences and Arts Western Switzerland
Concetto Spampinato
Concetto Spampinato University of Catania
Patrick Valduriez
Patrick Valduriez French Institute for Research in Computer Science and Automation - INRIA
Ari Karppinen
Ari Karppinen Finnish Meteorological Institute
Susan J. Mazer
Susan J. Mazer University of California, Santa Barbara
Nicu Sebe
Nicu Sebe University of Trento
Donald Geman
Donald Geman Johns Hopkins University
Pamela S. Soltis
Pamela S. Soltis University of Florida

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