13 Aug 2023Open access19cites
Explainable AI for Deep Learning Based Potato Leaf Disease DetectionPublisher siteUniversitiesAndré Bigand
Active, last published 2026
In time series analysis and forecasting
André
Bigand
Scholar“Research focused on Time Series Analysis and Forecasting and adjacent fields.”
Université du littoral côte d'opale
Claim Your Profile11
H-index
492
Citations
André has not officially claimed their profile. If you are André, claim it free.
Claim Your Profile
Pioneer
LOCKED
Pathfinder
LOCKED
Scholar
EARNED
Innovator
LOCKED
Inventor
LOCKED
Catalyst
LOCKED
Expert
UPGRADE
01 · About the work
What I study
ndré Bigand is a researcher working on Time Series Analysis and Forecasting. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
André's work has been cited 492 times across 1 active year. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Time Series Analysis and Forecasting×11Neural Networks and Applications×9Advanced Vision and Imaging×9Image and Video Quality Assessment×9Image and Signal Denoising Methods×8
04 · Where I am
Affiliations
Affiliation on published researchUniversité du littoral côte d'opaleDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
4 works9 Jul 2023
An eXplainable Artificial Intelligence Method for Deep Learning-Based Face Detection in PaintingsPublisher site3 Jul 2023Open access36cites
A comprehensive survey on object detection in Visual Art: taxonomy and challengePublisher siteMultimedia Tools and Applications, Aesthetic Perception and Analysis
1 Jan 2023Open access6cites
Towards Explainability in Using Deep Learning for Face Detection in PaintingsPublisher siteExpert Academic Profiles go further
Citation trend analytics, exportable publication records, and direct enquiry routing from industry and funders.
Are you André?
Claim it to verify your details, connect with industry partners, and explore Fractional Domain Expert opportunities through MARATTO™.
African researchers are full of potential that too often goes unrecognised. Your MARATTO™ profile gives your work the commercial pathway it deserves.
Claim Your Profile
Free to claim · takes a minute to verify it’s you